default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, September 2020
- Victoria Lin, Jeffrey M. Girard, Michael A. Sayette, Louis-Philippe Morency:
Toward Multimodal Modeling of Emotional Expressiveness. - Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster:
The Data Station: Combining Data, Compute, and Market Forces. - Hamed Rahimi, Yvan Picaud, Salvatore Costanzo, Giyyarpuram Madhusudan, Olivier Boissier, Kamal Deep Singh:
Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond. - Benjamin Lee, Xiaoyun Hu, Maxime Cordeil, Arnaud Prouzeau, Bernhard Jenny, Tim Dwyer:
Shared Surfaces and Spaces: Collaborative Data Visualisation in a Co-located Immersive Environment. - Benjamin Lee, Dave Brown, Bongshin Lee, Christophe Hurter
, Steven Mark Drucker, Tim Dwyer:
Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Reality. - Sigmar K. Stefánsson, Hákon Guðbjartsson:
SparkGOR: A unified framework for genomic data analysis. - Aakriti Agrawal, Aashay Anil Bhise, Rohitkumar Arasanipalai, Lima Agnel Tony, Shuvrangshu Jana, Debasish Ghose:
Accurate Prediction and Estimation of 3D-Repetitive-Trajectories using Kalman Filter, Machine Learning and Curve-Fitting Method. - Boris Chetverushkin, Eric T. Chung, Yalchin Efendiev, Sai-Mang Pun, Zecheng Zhang:
Computational multiscale methods for quasi-gas dynamic equations. - Subhadeep Sahoo, Xiao Han Dong, Zi Qian Liu, Joydeep Sahoo:
Under Water Waste Cleaning by Mobile Edge Computing and Intelligent Image Processing Based Robotic Fish. - Afaf Taïk, Soumaya Cherkaoui:
Federated Edge Learning : Design Issues and Challenges. - Jonas Lukasczyk, Christoph Garth, Ross Maciejewski, Julien Tierny:
Localized Topological Simplification of Scalar Data. - Moe Sabry, Reza Samavi, Douglas Stebila:
ArchiveSafe: Mass-Leakage-Resistant Storage from Proof-of-Work. - Shuyu Lin, Ronald Clark:
LaDDer: Latent Data Distribution Modelling with a Generative Prior. - Dadi Bi, Apostolos Almpanis, Adam Noel, Yansha Deng, Robert Schober:
A Survey of Molecular Communication in Cell Biology: Establishing a New Hierarchy for Interdisciplinary Applications. - Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau:
Mapping Researchers with PeopleMap. - Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang:
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. - Dongjie Wang, Yan Yang, Shangming Ning:
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction. - Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang:
Adversarial Eigen Attack on Black-Box Models. - Balaram Behera:
Sorting an Array Using the Topological Sort of a Corresponding Comparison Graph. - Behrooz Omidvar-Tehrani, Sruthi Viswanathan, Jean-Michel Renders:
Interactive and Explainable Point-of-Interest Recommendation using Look-alike Groups. - Young-min Song, Moongu Jeon:
Online Multi-Object Tracking and Segmentation with GMPHD Filter and Simple Affinity Fusion. - Elena Celledoni, James Jackaman:
Discrete conservation laws for finite element discretisations of multisymplectic PDEs. - William Falcon, Kyunghyun Cho:
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach. - Manal El Tanab, Walaa Hamouda:
Fast Grant Learning-Based Approach for Machine Type Communications with NOMA. - Debayan Banerjee, Debanjan Chaudhuri, Mohnish Dubey, Jens Lehmann:
PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs. - Patrik Christen, Olivier Del Fabbro:
Adaptation in a System Metamodel for Evolutionary Computation. - Forrest C. Sheldon, Artemy Kolchinsky, Francesco Caravelli:
The Computational Capacity of Memristor Reservoirs. - David Eppstein:
On Polyhedral Realization with Isosceles Triangles. - Avinash Kulkarni, Tristan Vaccon:
Super-linear convergence in the p-adic QR-algorithm. - Yahya Alnashri, Hasan Alzubaidi:
A gradient Discretisation Method For Anisotropic Reaction Diffusion Models with applications to the dynamics of brain tumours. - Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec:
Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning. - Jing Yu, Zihao Zhu, Yujing Wang, Weifeng Zhang, Yue Hu, Jianlong Tan:
Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering. - Ioannis Kordonis, Athanasios-Rafail Lagos, George P. Papavassilopoulos:
Nash Social Distancing Games with Equity Constraints: How Inequality Aversion Affects the Spread of Epidemics. - Partha Ghosh, Pravir Singh Gupta, Roy Uziel, Anurag Ranjan, Michael J. Black, Timo Bolkart:
GIF: Generative Interpretable Faces. - Jasmin James, Jason J. Ford, Jenna Riseley, Timothy L. Molloy:
Optimal Bayesian Quickest Detection for Hidden Markov Models and Structured Generalisations. - Thomas Führer:
Multilevel decompositions and norms for negative order Sobolev spaces. - Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. - John Erickson, Abhinav Aggarwal, G. Matthew Fricke, Melanie E. Moses:
LoCUS: A multi-robot loss-tolerant algorithm for surveying volcanic plumes. - Dinh Hoa Nguyen:
Optimal Solution Analysis and Decentralized Mechanisms for Peer-to-Peer Energy Markets. - Qifan Zhang, Yue Guan, Panagiotis Tsiotras:
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation. - Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. - Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang:
LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation. - Botao Peng, Panagiota Fatourou, Themis Palpanas:
ParIS+: Data Series Indexing on Multi-Core Architectures. - Yang Wang:
A Mathematical Introduction to Generative Adversarial Nets (GAN). - Songtao Feng, Jing Yang:
Precoding and Scheduling for AoI Minimization in MIMO Broadcast Channels. - Jack Downes:
LoRaWAN Temperature Sensors for Local Government Asset Management. - Asif Ashraf Patankar, Hyeonjoon Moon:
Automatic Radish Wilt Detection Using Image Processing Based Techniques and Machine Learning Algorithm. - Tony Liu, Amirali Amirsoleimani, Fabien Alibart, Serge Ecoffey, Dominique Drouin, Roman Genov:
AIDX: Adaptive Inference Scheme to Mitigate State-Drift in Memristive VMM Accelerators. - Kyle McCullough, Andrew Feng, Meida Chen, Ryan McAlinden:
Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions. - Vincent Cohen-Addad, Philip N. Klein, Dániel Marx:
On the computational tractability of a geographic clustering problem arising in redistricting. - Likun Liu, Hua Qi:
Object Detection-Based Variable Quantization Processing. - Maryam Rahnemoonfar, Debvrat Varshney, Masoud Yari, John Paden:
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. - Sehi L'Yi, Jaemin Jo, Jinwook Seo:
Comparative Layouts Revisited: Design Space, Guidelines, and Future Directions. - Karthik Sankaranarayanan, Chit-Kwan Lin, Gautham N. Chinya:
Helper Without Threads: Customized Prefetching for Delinquent Irregular Loads. - Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen:
Evasion Attacks to Graph Neural Networks via Influence Function. - Chanaka Samarathunga, Mohamed Abouelseoud, Kazuyuki Sakoda, Morteza Hashemi:
On the Benefits of Multi-hop Communication for Indoor 60 GHz Wireless Networks. - Zhidong Liang, Ming Zhang, Zehan Zhang, Xian Zhao, Shiliang Pu:
RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image Representation. - Zhiqi Tang, Rita Cunha, Tarek Hamel, Carlos Silvestre:
Bearing-only formation control under persistence of excitation. - Yang Liu, Guanbin Li, Liang Lin:
Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition. - Runjian Chen, Yue Wang, Huan Yin, Yanmei Jiao, Gamini Dissanayake, Rong Xiong:
A Samplable Multimodal Observation Model for Global Localization and Kidnapping. - Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao:
Visual Causality Analysis of Event Sequence Data. - Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato, Wolfgang Stürzl, Teresa A. Vidal-Calleja, Rudolph Triebel:
Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments. - Mitul S. Nagar, Haresh A. Suthar, Chintan Panchal:
RISC micrprocessor verification. - Samuel Reinders, Matthew Butler, Kim Marriott:
"Hey Model!" - Natural User Interactions and Agency in Accessible Interactive 3D Models. - Baosheng Yu, Dacheng Tao:
Heatmap Regression via Randomized Rounding. - Mustefa Jibril, Messay Tadese, Eliyas Alemayehu Tadese:
Design and Simulation of Voltage Amplidyne System using Robust Control Technique. - Ukachi Osisiogu:
Semantic Sentiment Analysis Based on Probabilistic Graphical Models and Recurrent Neural Network. - Shravika Mittal, Tanmoy Chakraborty, Siddharth Pal:
Dynamics of node influence in network growth models. - Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang:
A Survey of Deep Active Learning. - Thanh Tung Khuat, Bogdan Gabrys:
An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. - Usman Ali, Bayram Bayramli, Hongtao Lu:
Temporal Continuity Based Unsupervised Learning for Person Re-Identification. - Feng Tian, Wendi Feng, Yang Zhang, Zhi-Li Zhang:
A Novel Software-based Multi-path RDMA Solutionfor Data Center Networks. - Ben Zevenbergen, Allison Woodruff, Patrick Gage Kelley:
Explainability Case Studies. - Tan Tang, Renzhong Li, Xinke Wu, Shuhan Liu, Johannes Knittel, Steffen Koch, Thomas Ertl, Lingyun Yu, Peiran Ren, Yingcai Wu:
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning. - Rafael Ferreira da Silva, Loïc Pottier, Tainã Coleman, Ewa Deelman, Henri Casanova:
WorkflowHub: Community Framework for Enabling Scientific Workflow Research and Development - Technical Report. - Mikaela Irene D. Fudolig, Daniel Monsivais, Kunal Bhattacharya, Hang-Hyun Jo, Kimmo Kaski:
Internal migration and mobile communication patterns among pairs with strong ties. - Lexing Ying:
A heuristic independent particle approximation to determinantal point processes. - Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis:
Boosting House Price Predictions using Geo-Spatial Network Embedding. - Fabio Poiesi, Davide Boscaini:
Distinctive 3D local deep descriptors. - Von Ralph Dane Marquez Herbuela, Tomonori Karita, Yoshiya Furukawa, Yoshinori Wada, Shuichiro Senba, Eiko Onishi, Tatsuo Saeki:
Children with PIMD/SMID expressive behaviors: Development and testing of ChildSIDE app, the first step for independent communication and mobility. - Mohammad Keshavarzi, Clayton Hutson, Chin-Yi Cheng, Mehdi Nourbakhsh, Michael Bergin, Mohammad Rahmani Asl:
SketchOpt: Sketch-based Parametric Model Retrieval for Generative Design. - Zheng Zhang, Lu Lv, Qingqing Wu, Hao Deng, Jian Chen:
Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA networks. - Anna Ferrari, Daniela Micucci, Marco Mobilio, Paolo Napoletano:
Personalization in Human Activity Recognition. - Benedikt Klaer, Ömer Sen, Dennis van der Velde, Immanuel Hacker, Michael Andres, Martin Henze:
Graph-based Model of Smart Grid Architectures. - Bingqian Lu, Jianyi Yang, Shaolei Ren:
Scaling Up Deep Neural Network Optimization for Edge Inference. - Qin Yang, Ramviyas Parasuraman:
Needs-driven Heterogeneous Multi-Robot Cooperation in Rescue Missions. - Andrew Adamatzky, Alessandro Chiolerio, Georgios Ch. Sirakoulis:
On resistive spiking of fungi. - Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci:
Developing Constrained Neural Units Over Time. - Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, Richard Bowden:
Multi-channel Transformers for Multi-articulatory Sign Language Translation. - Cezara Benegui, Radu Tudor Ionescu:
To augment or not to augment? Data augmentation in user identification based on motion sensors. - Yuchao Gu, Le Zhang, Yun Liu, Shao-Ping Lu, Ming-Ming Cheng:
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow. - Sören Henning, Wilhelm Hasselbring:
Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines. - Jingchen Sun, Jiming Chen, Tao Chen, Jiayuan Fan, Shibo He:
PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection. - Andreea Iana, Heiko Paulheim:
More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings. - James R. Riehl, Jonathan Ward:
Transaction Pricing for Maximizing Throughput in a Sharded Blockchain Ledger. - Bing Liu, Anzhu Yu, Pengqiang Zhang, Lei Ding, Wenyue Guo, Kuiliang Gao, Xibing Zuo:
Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification. - Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. - Christophe Lecoutre, Nicolas Szczepanski:
PYCSP3: Modeling Combinatorial Constrained Problems in Python. - Yi Lou, Ruofan Sun, Julian Cheng, DongHu Nie, Gang Qiao:
Secrecy Outage Analysis of Two-Hop Decode-and-Forward Mixed RF/UWOC Systems. - Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schölkopf:
Learning explanations that are hard to vary. - Antonio Hernández Martínez, S. Woo, Héctor Corrales Sánchez, Ignacio Parra, E. Kim, David Fernández Llorca, Miguel Ángel Sotelo:
3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns forroad scene interpretation. - Fatima N. Al-Aswadi, Chan Huah Yong, Keng Hoon Gan:
Extracting Semantic Concepts and Relations from Scientific Publications by Using Deep Learning. - Vivek Nallur:
Landscape of Machine Implemented Ethics. - Idris Kempf, Stephen R. Duncan, Paul J. Goulart, Guenther Rehm:
Multi-Array Electron Beam Stabilization using Block-Circulant Transformation and Generalized Singular Value Decomposition. - Adrian Llopart:
LiftFormer: 3D Human Pose Estimation using attention models. - Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux:
POSEIDON: Privacy-Preserving Federated Neural Network Learning. - Haining Zheng, Antonio R. Paiva, Christopher S. Gurciullo:
Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT. - Michael Schuster, Elisa Strauch, Martin Gugat, Jens Lang:
Probabilistic Constrained Optimization on Flow Networks. - João Oliveirinha, Ana Sofia Gomes, Pedro Cardoso, Pedro Bizarro:
Railgun: streaming windows for mission critical systems. - Kun Xiao, Junqi Lu, Ying Nie, Lan Ma, Xiangke Wang, Guohui Wang:
A Benchmark for Multi-UAV Task Assignment of an Extended Team Orienteering Problem. - Charlotte Laclau, Franck Iutzeler, Ievgen Redko:
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy. - Koji Oishi, Kentaro Sakuwa:
Structural balance of alliance and rivalry networks in international relations. - Aleksandr E. Kolesov, Petr N. Vabishchevich:
Numerical recovery of the piecewise constant leading coefficient of an elliptic equation. - Ken Hayami, Kota Sugihara:
GMRES on singular systems revisited. - Nur Al Hasan Haldar, Jianxin Li, Mohammed Eunus Ali, Taotao Cai, Timos Sellis, Mark Reynolds:
Top-k Socio-Spatial Co-engaged Location Selection for Social Users. - Giuseppe Corrente:
Performance issues in content dissemination to metropolitan mobile users. - Kanav Gupta, Mithilesh Kumar, Håvard Raddum:
Obtuse Lattice Bases. - Hanqing Tian, Jun Ni, Zirui Li, Jibin Hu:
Autonomous Formula Racecar: Overall System Design and Experimental Validation. - Xiaokai Chen, Xiaoguang Gu, Libo Fu:
Boosting share routing for multi-task learning. - Davide Ancona, Angelo Ferrando, Viviana Mascardi:
Can determinism and compositionality coexist in RML? 13-32 - Fatemeh Jahedpari:
Continuous Artificial Prediction Markets as a Syndromic Surveillance Technique. - Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz:
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries. - Liqi Yan, Dongfang Liu, Yaoxian Song, Changbin Yu:
Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning. - Shivam Agarwal, Shahid Latif, Fabian Beck:
How Visualization PhD Students Cope with Paper Rejections. - Dieter Morgenroth, Stefan Reinhardt, Daniel Weiskopf, Bernhard Eberhardt:
Efficient 2D Simulation on Moving 3D Surfaces. - Konstantinos Dovelos, Boris Bellalta:
A Scheduling Policy for Downlink OFDMA in IEEE 802.11ax with Throughput Constraints. - Yannick Forster:
Church's thesis and related axioms in Coq's type theory. - Kristijonas Cyras, Ramamurthy Badrinath, Swarup Kumar Mohalik, Anusha Mujumdar, Alexandros Nikou, Alessandro Previti, Vaishnavi Sundararajan, Aneta Vulgarakis Feljan:
Machine Reasoning Explainability. - Thomas Apel, Volker Kempf:
Pressure-robust error estimate of optimal order for the Stokes equations on domains with edges. - Anita Mehta, Jean-Marc Luck:
Hearings and mishearings: decrypting the spoken word. - Valerio Agasucci, Giorgio Grani, Leonardo Lamorgese:
Solving the single-track train scheduling problem via Deep Reinforcement Learning. - Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys:
NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size. - Vamsi K. Vegamoor, Sivakumar Rathinam, Swaroop Darbha:
Safety of Connected Vehicle Platoons. - Haris Mansoor, Naveed Arshad:
Market Model for Demand Response under Block Rate Pricing. - Xun Xian, Xinran Wang, Mingyi Hong, Jie Ding, Reza Ghanadan:
Imitation Privacy. - Michael P. Frank, Robert W. Brocato, Brian D. Tierney, Nancy A. Missert, Alexander H. Hsia:
Reversible Computing with Fast, Fully Static, Fully Adiabatic CMOS. - Sungsoo Ray Hong, Sonia Castelo, Vito D'Orazio, Christopher Bethune, Aécio S. R. Santos, Scott Langevin, David Jonker, Enrico Bertini, Juliana Freire:
Towards Evaluating Exploratory Model Building Process with AutoML Systems. - Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Sihem Amer-Yahia:
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods. - Baoling Sheen, Jin Yang, Xianglong Feng, Md Moin Uddin Chowdhury:
A Digital Twin for Reconfigurable Intelligent Surface Assisted Wireless Communication. - Harideep Nair, John Paul Shen, James E. Smith:
Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for Sensory Processing. - Oliver Horst, Uwe Baumgarten:
toki: A Build- and Test-Platform for Prototyping and Evaluating Operating System Concepts in Real-Time Environments. - Farhad Shirani, Siddharth Garg, Elza Erkip:
A Concentration of Measure Approach to Correlated Graph Matching. - Bruno Bauwens:
Precise Expression for the Algorithmic Information Distance. - Monica Arul, Ahsan Kareem:
Data Anomaly Detection for Structural Health Monitoring of Bridges using Shapelet Transform. - Biqian Feng, Yongpeng Wu, Mengfan Zheng, Xiang-Gen Xia, Yongjian Wang, Chengshan Xiao:
Large Intelligent Surface Aided Physical Layer Security Transmission. - Cong Li, Yongchao Wang, Fangzhou Liu, Martin Buss:
Off Policy Risk Sensitive Reinforcement Learning Based Optimal Tracking Control with Prescribe Performances. - Dimitris Floros, Tiancheng Liu, Nikos Pitsianis, Xiaobai Sun:
Using Graphlet Spectrograms for Temporal Pattern Analysis of Virus-Research Collaboration Networks. - Froilán M. Dopico, María C. Quintana, Paul Van Dooren:
Diagonal scalings for the eigenstructure of arbitrary pencils. - Philip Miller:
Variational Regularization Theory Based on Image Space Approximation Rates. - Philomène Chagniot, Flavian Vasile, David Rohde:
From Clicks to Conversions: Recommendation for long-term reward. - James Wright:
Suspect AI: Vibraimage, Emotion Recognition Technology, and Algorithmic Opacity. - Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Graph Embedding with Data Uncertainty. - Oliver Horst, Johannes Wiesböck, Raphael Wild, Uwe Baumgarten:
Quantifying the Latency and Possible Throughput of External Interrupts on Cyber-Physical Systems. - Marc Tonsen, Chris Kay Baumann, Kai Dierkes:
A High-Level Description and Performance Evaluation of Pupil Invisible. - Allen Riddell, Troy J. Bassett:
What Library Digitization Leaves Out: Predicting the Availability of Digital Surrogates of English Novels. - Frédéric Boussemart, Christophe Lecoutre, Gilles Audemard, Cédric Piette:
XCSP3-core: A Format for Representing Constraint Satisfaction/Optimization Problems. - Peng Xu, Gaojie Chen, Gaofeng Pan, Marco Di Renzo:
Ergodic Secrecy Capacity of RIS-Assisted Communication Systems in the Presence of Discrete Phase Shifts and Multiple Eavesdroppers. - Daniele Vernon-Bido, Andrew J. Collins:
Finding Core Members of Cooperative Games using Agent-Based Modeling. - Weikai Li, Songcan Chen:
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces. - Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine:
Tensor Relational Algebra for Machine Learning System Design. - Phan The Duy, Do Thi Thu Hien, Van-Hau Pham:
A survey on Blockchain-based applications for reforming data protection, privacy and security. - Deepika Garg, Sashikumaar Ganesan:
Generalized local projection stabilized finite element method for advection-reaction problems. - Mohsen Shahhosseini, Guiping Hu:
Improved Weighted Random Forest for Classification Problems. - Prasanna Date, Christopher D. Carothers, John E. Mitchell, James A. Hendler, Malik Magdon-Ismail:
Training Deep Neural Networks with Constrained Learning Parameters. - Mikhail Jacob, Sam Devlin, Katja Hofmann:
"It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games. - Waheeda Saib, Tapiwa M. Chiwewe, Elvira Singh:
Hierarchical Deep Learning Classification of Unstructured Pathology Reports to Automate ICD-O Morphology Grading. - Kamwoo Lee, Jeanine Braithwaite:
High-Resolution Poverty Maps in Sub-Saharan Africa. - Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim:
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales. - Noptanit Chotisarn, Junhua Lu, Libinzi Ma, Jingli Xu, Linhao Meng, Bingru Lin, Ying Xu, Xiaonan Luo, Wei Chen:
Bubble Storytelling with Automated Animation: A Brexit Hashtag Activism Case Study. - Emily J. Evans, Rebecca Jones, Joseph Leung, Benjamin Z. Webb:
Using Social Networks to Improve Group Transition Prediction in Professional Sports. - Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza:
Flightmare: A Flexible Quadrotor Simulator. - Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis:
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives. - Jordan F. Masakuna, Simukai W. Utete, Steve Kroon:
Performance-Agnostic Fusion of Probabilistic Classifier Outputs. - Ali Ahmadi Dastjerdi, Alessandro Astolfi, S. Hassan HosseinNia:
Frequency Domain Stability Method for Reset Systems. - Deepika Garg, Sashikumaar Ganesan:
An overlapping local projection stabilization for Galerkin approximations of Darcy and Stokes problems. - Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto:
MORPH-DSLAM: Model Order Reduction for PHysics-based Deformable SLAM. - Jun Li, Wanrong Hong, Yusheng Xiang:
A Short Review on Data Modelling for Vector Fields. - Matthew Evanusa, Cornelia Fermüller, Yiannis Aloimonos:
A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP. - Giovanni Barbarino, Antonio Cicone:
Conjectures on spectral properties of ALIF algorithm. - Catherine Dubois:
Formally Verified Transformation of Non-binary Constraints into Binary Constraints. - Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan:
SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks. - Yanyu Zhang, Xiu Wang, Xuan Wu, Wenjing Zhang, Meiqian Jiang, Mahmood Al-Khassaweneh:
Intelligent Hotel ROS-based Service Robot. - Salvatore Giorgi, Sharath Chandra Guntuku, Muhammad Rahman, McKenzie Himelein-Wachowiak, Amy Kwarteng, Brenda Curtis:
Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2020. - Marc Böhlen, Wawan Sujarwo:
Return to Bali. - Taylor J. Smith, Kai Salomaa:
Recognition and Complexity Results for Projection Languages of Two-Dimensional Automata. - Weidi Xie, Jeffrey Byrne, Andrew Zisserman:
Inducing Predictive Uncertainty Estimation for Face Recognition. - Xiaoqi Li, Ting Chen, Xiapu Luo, Jiangshan Yu:
Characterizing Erasable Accounts in Ethereum. - Krutarth Patel, Cornelia Caragea, Mark Phillips, Nathaniel T. Fox:
Identifying Documents In-Scope of a Collection from Web Archives. - Paul L. Rosin, Yu-Kun Lai, David Mould, Ran Yi, Itamar Berger, Lars Doyle, Seungyong Lee, Chuan Li, Yong-Jin Liu, Amir Semmo, Ariel Shamir, Minjung Son, Holger Winnemöller:
NPRportrait 1.0: A Three-Level Benchmark for Non-Photorealistic Rendering of Portraits. - Hongbo Rong:
Building Application-Specific Overlays on FPGAs with High-Level Customizable IPs. - Yogesh S. Rawat, Shruti Vyas:
View-invariant action recognition. - Chen Wang, Yuheng Qiu, Sebastian A. Scherer:
Lifelong Graph Learning. - Henry N. Ward, Daniel J. Brooks, Dan Troha, Bobby Mills, Arseny S. Khakhalin:
AI solutions for drafting in Magic: the Gathering. - Akash Kumar Dhaka, Alejandro Catalina, Michael Riis Andersen, Måns Magnusson, Jonathan H. Huggins, Aki Vehtari:
Robust, Accurate Stochastic Optimization for Variational Inference. - Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler:
Fed-Sim: Federated Simulation for Medical Imaging. - Hans Riess, Yiannis Kantaros, George J. Pappas, Robert Ghrist:
Distributed Locally Non-interfering Connectivity via Linear Temporal Logic. - Ilia Rushkin:
Document Similarity from Vector Space Densities. - Jesús María Sanz-Serna, Konstantinos C. Zygalakis:
The connections between Lyapunov functions for some optimization algorithms and differential equations. - Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng:
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. - Brian L. Davis, Chris Tensmeyer, Brian L. Price, Curtis Wigington, Bryan S. Morse, Rajiv Jain:
Text and Style Conditioned GAN for Generation of Offline Handwriting Lines. - Mohammed Alsuwaiket, Christian W. Dawson, Firat Batmaz:
Measuring the Credibility of Student Attendance Data in Higher Education for Data Mining. - Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
Aggregating Long-Term Context for Learning Surgical Workflows. - Vandana Mittal, Setareh Maghsudi, Ekram Hossain:
Distributed Cooperation Under Uncertainty in Drone-Based Wireless Networks: A Bayesian Coalitional Game. - Junyi Li, Bin Gu, Heng Huang:
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee. - Wilson Lau, Laura Aaltonen, Martin L. Gunn, Meliha Yetisgen:
Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation. - Georg Anegg, Haris Angelidakis, Rico Zenklusen:
Simpler and Stronger Approaches for Non-Uniform Hypergraph Matching and the Füredi, Kahn, and Seymour Conjecture. - Javier López-Martínez, Javier Castillo, Daniel García Vallejo, Alfredo Alcayde, Francisco G. Montoya:
A new electromechanical analogy approach based on electrostatic coupling for vertical dynamic analysis of planar vehicle models. - Suhong Kim, Hamed RahmaniKhezri, Seyed Mohammad Nourbakhsh, Mohamed Hefeeda:
Unsupervised Single-Image Reflection Separation Using Perceptual Deep Image Priors. - Gang Chen, Bernardo Cockburn, John R. Singler, Yangwen Zhang:
Superconvergent Interpolatory HDG methods for reaction diffusion equations II: HHO-inspired methods. - Allan P. Engsig-Karup, Wojciech Laskowski:
Efficient p-multigrid spectral element model for water waves and marine offshore structures. - Kumar Saurabh, Boshun Gao, Milinda Fernando, Songzhe Xu, Biswajit Khara, Makrand A. Khanwale, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian:
Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis. - Steven Kearnes:
Pursuing a Prospective Perspective. - Vladimir A. Dorodnitsyn, Evgenii I. Kaptsov:
Invariant conservative difference schemes for shallow water equations in Eulerian and Lagrangian coordinates. - Aurelian Bejancu:
Uniformly bounded Lebesgue constants for scaled cardinal interpolation with Matérn kernels. - Kyungeun Lee, Moonjung Eo, Euna Jung, Yoonjin Yoon, Wonjong Rhee:
Short-term Traffic Prediction with Deep Neural Networks: A Survey. - Mohammad Bakhshalipour, Mehran Shakerinava, Fatemeh Golshan, Ali Ansari, Pejman Lotfi-Kamran, Hamid Sarbazi-Azad:
A Survey on Recent Hardware Data Prefetching Approaches with An Emphasis on Servers. - Nael Rahman, Vladimir Shpilrain:
MAKE: a Matrix Action Key Exchange. - Zhi Wang, Xueying Tang, Jingchen Liu, Zhiliang Ying:
Subtask Analysis of Process Data Through a Predictive Model. - Shu Wang, Jiahao Cao, Xu He, Kun Sun, Qi Li:
When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition. - Krist Wongsuphasawat:
Encodable: Configurable Grammar for Visualization Components. - Jinho Choi:
On Throughput Improvement using Immediate Re-transmission in Grant-Free Random Access with Massive MIMO. - Davide Rigoni, Nicolò Navarin, Alessandro Sperduti:
Conditional Constrained Graph Variational Autoencoders for Molecule Design. - Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, Ram Nevatia:
SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization. - Matthew Abate, Corbin Klett, Samuel Coogan, Eric Feron:
Performance Analysis and Non-Quadratic Lyapunov Functions for Linear Time-Varying Systems. - Alejandro Allendes, Francisco Fuica, Enrique Otárola:
Error estimates for a pointwise tracking optimal control problem of a semilinear elliptic equation. - Colin Shea-Blymyer, Houssam Abbas:
A Deontic Logic Analysis of Autonomous Systems' Safety. - Hoang-Dung Bui, Son Nguyen, Umme Hafsa Billah, Chuong Le, Alireza Tavakkoli, Hung M. La:
Control Framework for a Hybrid-steel Bridge Inspection Robot. - Shubhra Aich, Jean Marie Uwabeza Vianney, Md. Amirul Islam, Mannat Kaur, Bingbing Liu:
Bidirectional Attention Network for Monocular Depth Estimation. - Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos:
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference. - Priyanka Das, Joseph McGrath, Zhaoyuan Fang, Aidan Boyd, Ganghee Jang, Amir Mohammadi, Sandip Purnapatra, David Yambay, Sébastien Marcel, Mateusz Trokielewicz, Piotr Maciejewicz, Kevin W. Bowyer, Adam Czajka, Stephanie Schuckers, Juan E. Tapia, Sebastian Gonzalez, Meiling Fang, Naser Damer, Fadi Boutros, Arjan Kuijper, Renu Sharma, Cunjian Chen, Arun Ross:
Iris Liveness Detection Competition (LivDet-Iris) - The 2020 Edition. - Alaul Islam, Anastasia Bezerianos, Bongshin Lee, Tanja Blascheck, Petra Isenberg:
Visualizing information on watch faces: A survey with smartwatch users. - Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. - Irina Kostitsyna, Cai Wood, Damien Woods:
Turning machines. - Matt Shannon:
Properties of f-divergences and f-GAN training. - Drew Schmidt:
A Survey of Singular Value Decomposition Methods for Distributed Tall/Skinny Data. - Peixuan Li:
Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training. - Xuerui Zhang, Yuan Xia:
LSMVOS: Long-Short-Term Similarity Matching for Video Object. - Yanchao Sun, Furong Huang:
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics. - Alan Sun:
A perception centred self-driving system without HD Maps. - Su Pang, Daniel Morris, Hayder Radha:
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection. - Botao Peng, Panagiota Fatourou, Themis Palpanas:
MESSI: In-Memory Data Series Indexing. - Qiang Li, Miaowen Wen, Marco Di Renzo:
Single-RF MIMO: From Spatial Modulation to Metasurface-Based Modulation. - Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu:
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction. - Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Information Source Finding in Networks: Querying with Budgets. - Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou:
Heterogeneous Graph Neural Network for Recommendation. - Anupam Gupta, Roie Levin:
Fully-Dynamic Submodular Cover with Bounded Recourse. - Andrew J. Lohn:
Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance. - Hamza Ali Imran, Usama Mujahid, Saad Wazir, Usama Latif, Kiran Mehmood:
Embedded Development Boards for Edge-AI: A Comprehensive Report. - Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo:
Architectural Implications of Graph Neural Networks. - Yao Ge, Qinwen Deng, P. C. Ching, Zhi Ding:
Receiver Design for OTFS with Fractionally Spaced Sampling Approach. - Anupam Gupta, Benjamin Moseley, Rudy Zhou:
Structural Iterative Rounding for Generalized k-Median Problems. - Jungho Ahn, Eun Jung Kim, Euiwoong Lee:
Towards constant-factor approximation for chordal / distance-hereditary vertex deletion. - Jyh-Ming Lien, Vikram Sharma, Gert Vegter, Chee Yap:
Isotopic Arrangement of Simple Curves: an Exact Numerical Approach based on Subdivision. - Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Open-set Adversarial Defense. - Charles Lehman, Dogancan Temel, Ghassan AlRegib:
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption. - Chaemin Lee, Jongho Park:
A variational framework for the strain-smoothed element method. - Meet Gandhi, Atreyee Kundu, Shalabh Bhatnagar:
A reinforcement learning approach to hybrid control design. - Vikas Singh, Homanga Bharadhwaj, Nishchal K. Verma:
A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification. - Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick:
Scaling Attributed Network Embedding to Massive Graphs. - Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl:
Automated Storytelling via Causal, Commonsense Plot Ordering. - Ruiki Kobayashi, Shogo Muramatsu:
Convolutional Nonlinear Dictionary with Cascaded Structure Filter Banks. - Kui Fu, Jia Li, Lin Ma, Kai Mu, Yonghong Tian:
Intrinsic Relationship Reasoning for Small Object Detection. - Xian Wu, Moses Charikar:
Nearest Neighbor Search for Hyperbolic Embeddings. - Waytehad Moskolaï, Wahabou Abdou, Albert Dipanda, Dina Taiwé Kolyang:
Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series. - Pranjay Shyam, Antyanta Bangunharcana, Kyung-Soo Kim:
Retaining Image Feature Matching Performance Under Low Light Conditions. - Florent Foucaud, Hervé Hocquard, Suchismita Mishra, Narayanan Narayanan, Reza Naserasr, Éric Sopena, Petru Valicov:
Exact square coloring of subcubic planar graphs. - George Labahn, Mohab Safey El Din, Éric Schost, Thi Xuan Vu:
Homotopy techniques for solving sparse column support determinantal polynomial systems. - Wouter M. Kouw:
Online system identification in a Duffing oscillator by free energy minimisation. - Jean-Charles Faugère, George Labahn, Mohab Safey El Din, Éric Schost, Thi Xuan Vu:
Computing critical points for invariant algebraic systems. - Bharath Ramesh, Shihao Zhang, Hong Yang, Andrés Ussa, Matthew Ong, Garrick Orchard, Cheng Xiang:
e-TLD: Event-based Framework for Dynamic Object Tracking. - Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen, Sweta Bhattacharya, Prabadevi B, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Fang Fang, Pubudu N. Pathirana:
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions. - Ishani Mondal, Debasis Ganguly:
ALEX: Active Learning based Enhancement of a Model's Explainability. - Rabiul Hasan Kabir, Kooktae Lee:
Efficient Multi-Robot Exploration with Energy Constraint based on Optimal Transport Theory. - Sangkeum Lee, Hojun Jin, Luiz Felipe Vecchietti, Junhee Hong, Ki-Bum Park, Dongsoo Har:
Power Management of Nanogrid Cluster with P2P Electricity Trading Based on Future Trends of Load Demand and PV Power Production. - Maurice Tchoupé Tchendji, Milliam Maxime Zekeng Ndadji:
Tree Automata for Extracting Consensus from Partial Replicas of a Structured Document. - Zhe Lin, Jieru Zhao, Sharad Sinha, Wei Zhang:
HL-Pow: A Learning-Based Power Modeling Framework for High-Level Synthesis. - Ibrahim Batuhan Akkaya, Ugur Halici:
GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation. - Debjyoti Bhattacharjee, Anupam Chattopadhyay, Srijit Dutta, Ronny Ronen, Shahar Kvatinsky:
CONTRA: Area-Constrained Technology Mapping Framework For Memristive Memory Processing Unit. - Oleg Lobachev, Moritz Berthold, Birte S. Steiniger, Henriette Pfeffer, Michael Guthe:
Inspection of histological 3D reconstructions in virtual reality. - Shaotian Yan, Chen Shen, Zhongming Jin, Jianqiang Huang, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua:
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation. - Shuai Zhang, Lijie Wang, Ke Sun, Xinyan Xiao:
A Practical Chinese Dependency Parser Based on A Large-scale Dataset. - Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu:
Adversarially Robust Neural Architectures. - Sanghun Park, Kwanggyoon Seo, Junyong Noh:
Neural Crossbreed: Neural Based Image Metamorphosis. - Wen Zhang, Lingfei Deng, Dongrui Wu:
Overcoming Negative Transfer: A Survey. - Sina J. Semnani, Manish Pandey:
Revisiting the Open-Domain Question Answering Pipeline. - Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar, Madhavan Manivannan, Miquel Pericàs:
Scheduling Task-parallel Applications in Dynamically Asymmetric Environments. - Matthias De Lange, Tinne Tuytelaars:
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams. - Anna Hilsmann, Philipp Fechteler, Wieland Morgenstern, Wolfgang Paier, Ingo Feldmann, Oliver Schreer, Peter Eisert:
Going beyond Free Viewpoint: Creating Animatable Volumetric Video of Human Performances. - Thomas Beznik, Paul Smyth, Gaël de Lannoy, John A. Lee:
Deep Learning to Detect Bacterial Colonies for the Production of Vaccines. - Jan N. Hombeck, Li Ji, Kai Lawonn, Charles Perin:
A Study of Opacity Ranges for Transparent Overlays in 3D Landscapes. - Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang:
Self-supervised Smoothing Graph Neural Networks. - Jianwen Lou, Xiaoxu Cai, Junyu Dong, Hui Yu:
Real-time 3D Facial Tracking via Cascaded Compositional Learning. - Xiaoxu Cai, Hui Yu, Jianwen Lou, Xuguang Zhang, Gongfa Li, Junyu Dong:
3D Facial Geometry Recovery from a Depth View with Attention Guided Generative Adversarial Network. - Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Structure-Aware Generation Network for Recipe Generation from Images. - Christos Koutlis, Symeon Papadopoulos, Manos Schinas, Ioannis Kompatsiaris:
LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting. - Bernadett Stadler, Roberto Biasi, Mauro Manetti, Ronny Ramlau:
Real-time implementation of an iterative solver for atmospheric tomography. - (Withdrawn) Embedded Blockchains: A Synthesis of Blockchains, Spread Spectrum Watermarking, Perceptual Hashing & Digital Signatures.
- Kun Zhan, Chaoxi Niu:
Mutual Teaching for Graph Convolutional Networks. - Zeyu Cao, Xiaorun Li, Liaoying Zhao:
Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification. - Sabin Devkota, Pascal Aschwanden, Adam Kunen, Matthew P. LeGendre, Katherine E. Isaacs:
CcNav: Understanding Compiler Optimizations in Binary Code. - Arthur-Jozsef Molnar, Simona Motogna:
A Study of Maintainability in Evolving Open-Source Software. - Chen Ma, Li Chen, Jun-Hai Yong:
MetaSimulator: Simulating Unknown Target Models for Query-Efficient Black-box Attacks. - Laura Giordano, Daniele Theseider Dupré:
A framework for a modular multi-concept lexicographic closure semantics. - Anton A. Pyrkin, Alexey A. Bobtsov, Alexey A. Vedyakov, Romeo Ortega, Anastasiia O. Vediakova, Madina Sinetova:
A Flux and Speed Observer for Induction Motors with Unknown Rotor Resistance and Load Torque and no Persistent Excitation Requirement. - Clemens Kupke, Dirk Pattinson, Lutz Schröder:
Coalgebraic Reasoning with Global Assumptions in Arithmetic Modal Logics. - Brian Gaudet:
Adaptive Scale Factor Compensation for Missiles with Strapdown Seekers via Predictive Coding. - Haihang Wang, Fares J. Abu-Dakka, Tran Nguyen Le, Ville Kyrki, He Xu:
A Novel Design of Soft Robotic Hand with a Human-inspired Soft Palm for Dexterous Grasping. - Xin Wu, Jianyu Wu, Ming-Hui Zhou, Zhi-Qiang Wang, Li-Yun Yang:
Analysis of open source license selection for the GitHub programming community. - Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi:
Perceiving Humans: from Monocular 3D Localization to Social Distancing. - Dogan Corus, Pietro S. Oliveto, Donya Yazdani:
Fast Immune System Inspired Hypermutation Operators for Combinatorial Optimisation. - Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, Wing Tat Leung:
Explicit and Energy-Conserving Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method for Wave Propagation in Heterogeneous Media. - Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey of Machine Learning Accelerators. - J. López-González, Juan M. Serrano:
The Optics of Language-Integrated Query. - Maximiliano Cristiá, Gianfranco Rossi:
An Automatically Verified Prototype of the Tokeneer ID Station Specification. - Michael Hanus, Claudio Sacerdoti Coen:
Pre-Proceedings of the 28th International Workshop on Functional and Logic Programming (WFLP 2020). - Jun Qi, Xu Liu, Javier Tejedor:
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding. - Omar Mossad, Amgad Ahmed, Anandharaju Raju, Hari Karthikeyan, Zayed Ahmed:
FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERT. - Akash Gupta, Abhishek Aich, Amit K. Roy-Chowdhury:
ALANET: Adaptive Latent Attention Network forJoint Video Deblurring and Interpolation. - Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Cross-Utterance Language Models with Acoustic Error Sampling. - Alina Nitzke, Benjamin Niedermann, Luciana Fenoglio-Marc, Jürgen Kusche, Jan-Henrik Haunert:
Reconstructing the Dynamic Sea Surface from Tide Gauge Records Using Optimal Data-Dependent Triangulations. - Semin Kwak, Nikolas Geroliminis:
Travel time prediction for congested freeways with a dynamic linear model. - Nick Baumann, Samuel Steffen, Benjamin Bichsel, Petar Tsankov, Martin T. Vechev:
zkay v0.2: Practical Data Privacy for Smart Contracts. - Hammond Pearce, Benjamin Tan, Ramesh Karri:
DAVE: Deriving Automatically Verilog from English. - Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan:
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. - Haiwei Wu, Jiantao Zhou:
Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction. - Haiwei Wu, Jiantao Zhou, Yuanman Li:
Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention. - Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen:
IAUnet: Global Context-Aware Feature Learning for Person Re-Identification. - Petr Svarný, Jakub Rozlivek, Lukas Rustler, Matej Hoffmann:
3D Collision-Force-Map for Safe Human-Robot Collaboration. - Alessio Sarullo, Tingting Mu:
Zero-Shot Human-Object Interaction Recognition via Affordance Graphs. - Reza Khanmohammadi, Seyed Abolghasem Mirroshandel:
Defeating Author Gender Identification with Text Style Transfer. - Jiuniu Wang, Wenjia Xu, Xingyu Fu, Guangluan Xu, Yirong Wu:
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition. - Richard Khoury, Marc-André Larochelle:
Generalisation of Cyberbullying Detection. - Bibek Upadhayay, Vahid Behzadan:
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification. - Thai Le, Suhang Wang, Dongwon Lee:
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. - James-Andrew Sarmiento:
Exploiting Latent Codes: Interactive Fashion Product Generation, Similar Image Retrieval, and Cross-Category Recommendation using Variational Autoencoders. - Markus Viljanen, Antti Airola, Tapio Pahikkala:
Generalized vec trick for fast learning of pairwise kernel models. - Aiqing Zhu, Pengzhan Jin, Yifa Tang:
Inverse modified differential equations for discovery of dynamics. - Akram Hussain:
Decentralized Source Localization Using Wireless Sensor Networks from Noisy Data. - Jingyi Hou, Yunde Jia, Xinxiao Wu, Yayun Qi:
Video Captioning Using Weak Annotation. - Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen:
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. - Isotta Landi, Veronica Mandelli, Michael V. Lombardo:
reval: a Python package to determine the best number of clusters with stability-based relative clustering validation. - Tewodros W. Ayalew, Jordan R. Ubbens, Ian Stavness:
Unsupervised Domain Adaptation For Plant Organ Counting. - Marcelo Ponce, Amit Sandhel:
covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from the Corona Virus Disease Pandemic. - Qiongxiu Li, Jaron Skovsted Gundersen, Richard Heusdens, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms. - Mohammadreza Hazhirpasand, Mohammad Ghafari, Oscar Nierstrasz:
Java Cryptography Uses in the Wild. - Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fiérrez, Christoph Busch:
Face Image Quality Assessment: A Literature Survey. - Cezara Benegui, Radu Tudor Ionescu:
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors. - Danilo Vasconcellos Vargas, Bingli Liao, Takahiro Kanzaki:
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation. - Ahmad Hazimeh, Adrian Herrera, Mathias Payer:
Magma: A Ground-Truth Fuzzing Benchmark. - Andreas Züfle:
Uncertain Spatial Data Management: An Overview. - Carlos Novo, Ricardo Morla:
Flow-based detection and proxy-based evasion of encrypted malware C2 traffic. - Isabelle van der Vegt, Bennett Kleinberg, Paul Gill:
Too good to be true? Predicting author profiles from abusive language. - Wang Zhou, Shiyu Chang, Norma E. Sosa, Hendrik F. Hamann, David D. Cox:
Lifelong Object Detection. - Dmitri Kuzmin, Manuel Quezada de Luna, David I. Ketcheson, Johanna Grüll:
Bound-preserving convex limiting for high-order Runge-Kutta time discretizations of hyperbolic conservation laws. - David Alfter:
An exploratory study of L1-specific non-words. - Stella Civelli, Enrico Forestieri, Marco Secondini:
Interplay of Probabilistic Shaping and Carrier Phase Recovery for Nonlinearity Mitigation. - Marsel Matdinov:
Circuit Satisfiability Problem for circuits of small complexity. - Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall:
Long-Term Anticipation of Activities with Cycle Consistency. - Shweta Shinde, Jinhua Cui, Satyaki Sen, Pinghai Yuan, Prateek Saxena:
Binary Compatibility For SGX Enclaves. - Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani:
On the existence of hidden machines in computational time hierarchies. - Hamed Ayoobi, S. Hamidreza Kasaei, Ming Cao, Rineke Verbrugge, Bart Verheij:
Local-HDP: Interactive Open-Ended 3D Object Categorization. - Sepehr Assadi, Ran Raz:
Near-Quadratic Lower Bounds for Two-Pass Graph Streaming Algorithms. - Luigi Musto, Andrea Zinelli:
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation. - Elizabeth A. Ricci, Madeleine Udell, Ross A. Knepper:
An Information-Theoretic Approach to Persistent Environment Monitoring Through Low Rank Model Based Planning and Prediction. - Sean I. Young, Zhe Wang, David Taubman, Bernd Girod:
Transform Quantization for CNN Compression. - Tung D. Nguyen, Jeffrey Uhlmann:
Canonical Tensor Scaling. - Yuxuan Li, Mingcheng Chen, Yaojian Chen, Haitian Lu, Lin Gan, Chao-Yang Lu, Jian-Wei Pan, Haohuan Fu, Guangwen Yang:
Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight. - Paolo Mantovani, Davide Giri, Giuseppe Di Guglielmo, Luca Piccolboni, Joseph Zuckerman, Emilio G. Cota, Michele Petracca, Christian Pilato, Luca P. Carloni:
Agile SoC Development with Open ESP. - Sagar Kora Venu:
Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images. - Zhongyang Li:
Exact Recovery of Community Detection in k-Community Gaussian Mixture Model. - Ece Çigdem Mutlu, Toktam A. Oghaz, Jasser Jasser, Ege Tütüncüler, Amirarsalan Rajabi, Aida Tayebi, Özlem Özmen Garibay, Ivan Garibay:
A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19. - Maryam Rahnemoonfar, Tashnim Chowdhury, Robin R. Murphy, Odair Fernandes:
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment. - Svetlana Kyas, Diego Tavares Volpatto, Martin O. Saar, Allan M. M. Leal:
Accelerated reactive transport simulations in heterogeneous porous medium using Reaktoro and Firedrake. - Avishek Garain:
Garain at SemEval-2020 Task 12: Sequence based Deep Learning for Categorizing Offensive Language in Social Media. - Marcus Aloysius Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou:
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs. - Willian C. S. Martinho, Rafael A. Melo, Kenneth Sörensen:
An enhanced simulation-based iterated local search metaheuristic for gravity fed water distribution network design optimization. - Neil A. Ernst, Jeffrey C. Carver, Daniel Méndez, Marco Torchiano:
Understanding Peer Review of Software Engineering Papers. - Biswanath Dutta, Michael DeBellis:
CODO: An Ontology for Collection and Analysis of Covid-19 Data. - Michael J. Lyons:
Excavating "Excavating AI": The Elephant in the Gallery. - Stefan Kiefer:
Notes on Equivalence and Minimization of Weighted Automata. - Anamay Chaturvedi, Huy L. Nguyen, Eric Z. Xu:
Differentially private k-means clustering via exponential mechanism and max cover. - Nathan O. Lambert, Craig B. Schindler, Daniel S. Drew, Kristofer S. J. Pister:
Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning. - Liliane Momeni, Triantafyllos Afouras, Themos Stafylakis, Samuel Albanie, Andrew Zisserman:
Seeing wake words: Audio-visual Keyword Spotting. - Roland Maier:
A high-order approach to elliptic multiscale problems with general unstructured coefficients. - John A. Christian, Harm Derksen, Ryan Watkins:
Lunar Crater Identification in Digital Images. - Marialejandra García-Corretjer, David Miralles, Raquel Ros:
A Theoretical Approach for a Novel Model to Realizing Empathy. - Shailesh Bavadekar, Andrew M. Dai, John Davis, Damien Desfontaines, Ilya Eckstein, Katie Everett, Alex Fabrikant, Gerardo Flores, Evgeniy Gabrilovich, Krishna Gadepalli, Shane Glass, Rayman Huang, Chaitanya Kamath, Dennis Kraft, Akim Kumok, Hinali Marfatia, Yael Mayer, Benjamin Miller, Adam Pearce, Irippuge Milinda Perera, Venky Ramachandran, Karthik Raman, Thomas Roessler, Izhak Shafran, Tomer Shekel, Charlotte Stanton, Jacob Stimes, Mimi Sun, Gregory Wellenius, Masrour Zoghi:
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0). - Jan Kallberg, Rosemary A. Burk, Bhavani Thuraisingham:
COVID-19: The Information Warfare Paradigm Shift. - Amogh Gudi, Xin Li, Jan van Gemert:
Efficiency in Real-time Webcam Gaze Tracking. - Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin:
Understanding the wiring evolution in differentiable neural architecture search. - Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation. - Alain Couvreur, Hugues Randriambololona:
Algebraic geometry codes and some applications. - Jeremy E. Block, Eric D. Ragan:
Micro-entries: Encouraging Deeper Evaluation of Mental Models Over Time for Interactive Data Systems. - Pouyan Asgharian, Zati Hakim Azizul:
Proposed Efficient Design for Unmanned Surface Vehicles. - Will Pazner, Tzanio V. Kolev:
Uniform subspace correction preconditioners for discontinuous Galerkin methods with hp-refinement. - Maria Carmela De Bonis, Donatella Occorsio, Woula Themistoclakis:
Filtered interpolation for solving Prandtl's integro-differential equations. - Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo:
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA). - Mao Ye, Lin Guan, Mohammed Quddus:
TDMP-Reliable Target Driven and Mobility Prediction based Routing Protocol in Complex VANETs. - Sasi Kiran Gaddipati, Deebul Nair, Paul G. Plöger:
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer Grading. - Amifa Raj, Connor Wood, Ananda Montoly, Michael D. Ekstrand:
Comparing Fair Ranking Metrics. - Yichu Zhou, Omri Koshorek, Vivek Srikumar, Jonathan Berant:
A Simple Global Neural Discourse Parser. - Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul F. Christiano:
Learning to summarize from human feedback. - Dennis Renz, Sibylle Schwarz, Johannes Waldmann:
Check Your (Students') Proofs-With Holes. - Shuyue Guan, Murray H. Loew:
An Internal Cluster Validity Index Based on Distance-based Separability Measure. - Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms. - Jip Kim, Sylwia Bialek, Burcin Unel, Yury Dvorkin:
Strategic Policymaking for Implementing Renewable Portfolio Standards: A Tri-level Optimization Approach. - Cristhian Montoya:
A numerical study of third-order equation with time-dependent coefficients: KdVB equation. - Jorge Peña Queralta, Li Qingqing, Eduardo Castelló Ferrer, Tomi Westerlund:
Secure Encoded Instruction Graphs for End-to-End Data Validation in Autonomous Robots. - Shyam Narayanan, Michael Ren:
Circular Trace Reconstruction. - Aaron J. Kogon, Costas D. Sarris:
An Expedient Approach to FDTD-based Modeling of Finite Periodic Structures. - Gregor Gantner, Dirk Praetorius:
Plain convergence of adaptive algorithms without exploiting reliability and efficiency. - Luca Versari, Iulia M. Comsa, Alessio Conte, Roberto Grossi:
Zuckerli: A New Compressed Representation for Graphs. - Aurélien Serre, Didier Chételat, Andrea Lodi:
Change Point Detection by Cross-Entropy Maximization. - Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores:
Bid Shading in The Brave New World of First-Price Auctions. - Russel Caflisch, Denis Silantyev, Yunan Yang:
Adjoint DSMC for nonlinear Boltzmann equation constrained optimization. - Giulio Giaconi, Deniz Gündüz, H. Vincent Poor:
Smart Meter Data Privacy. - Mruganka Kashyap, Laurent Lessard:
Agent-level optimal LQG control of dynamically decoupled systems with processing delays. - Anubhav Reddy Nallabasannagari, Madhu Reddiboina, Ryan Seltzer, Trevor Zeffiro, Ajay Sharma, Mahendra Bhandari:
All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III). - Nathan Tsoi, Yofti Milkessa, Marynel Vázquez:
A Heaviside Function Approximation for Neural Network Binary Classification. - Biswadeep Chakraborty, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, Mohan Gurusamy:
Cost-aware Feature Selection for IoT Device Classification. - Ayman Mukhaimar, Ruwan B. Tennakoon, Chow Yin Lai, Reza Hoseinnezhad, Alireza Bab-Hadiashar:
Robust Object Classification Approach using Spherical Harmonics. - Xuejing Lei, Ganning Zhao, C.-C. Jay Kuo:
NITES: A Non-Parametric Interpretable Texture Synthesis Method. - Felix O. Sumari, Luigy Machaca, Jose Huaman, Esteban Walter Gonzalez Clua, Joris Guérin:
Towards Practical Implementations of Person Re-Identification from Full Video Frames. - Pooria Dehghanian, Ju Hee Yeo, Jessica Wert, Hanyue Li, Komal S. Shetye, Thomas J. Overbye:
Application of Transformer Impedance Correction Tables in Power Flow Studies. - Zohreh Azizi, Xuejing Lei, C.-C. Jay Kuo:
Noise-Aware Texture-Preserving Low-Light Enhancement. - Xianmin Xu:
A variational analysis for the moving finite element method for gradient flows. - (Withdrawn) A Partial Regularization Method for Network Compression.
- Jacob M. Springer, Garrett T. Kenyon:
It's Hard for Neural Networks To Learn the Game of Life. - Jianping Kelvin Li, Kwan-Liu Ma:
P6: A Declarative Language for Integrating Machine Learning in Visual Analytics. - Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, Qing Wang:
Owl Eyes: Spotting UI Display Issues via Visual Understanding. - José Hugo C. Gaspar Elsas, Nicholas A. G. Casaprima, Ivan F. M. Menezes:
Accelerating engineering design by automatic selection of simulation cases through Pool-Based Active Learning. - Maria V. Vasilyeva, Valentin Alekseev, Eric T. Chung, Yalchin Efendiev:
Multiscale dimension reduction for flow and transport problems in thin domain with reactive boundaries. - Yuan Fang, Chunyan Xu, Zhen Cui, Yuan Zong, Jian Yang:
Spatial Transformer Point Convolution. - Younghoon Kim, Jeffrey Heer:
Gemini: A Grammar and Recommender System for AnimatedTransitions in Statistical Graphics. - Zhe Lin, Sharad Sinha, Wei Zhang:
Towards Efficient and Scalable Acceleration of Online Decision Tree Learning on FPGA. - Zhe Lin, Sharad Sinha, Wei Zhang:
An Ensemble Learning Approach for In-situ Monitoring of FPGA Dynamic Power. - Alejandro Parada-Mayorga, Alejandro Ribeiro:
Algebraic Neural Networks: Stability to Deformations. - Zhe Lin, Wei Zhang, Sharad Sinha:
Decision Tree Based Hardware Power Monitoring for Run Time Dynamic Power Management in FPGA. - Lei Zhang, Zhenwei He, Yi Yang, Liang Wang, Xinbo Gao:
Tasks Integrated Networks: Joint Detection and Retrieval for Image Search. - Priyanka Mandikal, Kristen Grauman:
Dexterous Robotic Grasping with Object-Centric Visual Affordances. - Zhe Lin, Sharad Sinha, Hao Liang, Liang Feng, Wei Zhang:
Scalable Light-Weight Integration of FPGA Based Accelerators with Chip Multi-Processors. - Srinivasan Ravichandran, Drona Khurana, Bharath Venkatesh, Narayanan Unny Edakunni:
FairXGBoost: Fairness-aware Classification in XGBoost. - Sara Evensen, Chang Ge, Dongjin Choi, Çagatay Demiralp:
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions. - Saad Al Muttakee, Abu Reyan Ahmed, Md. Saidur Rahman:
New Results and Bounds on Online Facility Assignment Problem. - Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Wei Liu, Shih-Fu Chang:
Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding. - Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Learning to Infer User Hidden States for Online Sequential Advertising. - Enyan Dai, Suhang Wang:
FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information. - Wei Su, Xueqiao Wang, Ge Chen, Kai Shen:
Quasi-synchronization of bounded confidence opinion dynamics with stochastic asynchronous rule. - Minhyuk Sung, Zhenyu Jiang, Panos Achlioptas, Niloy J. Mitra, Leonidas J. Guibas:
DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces. - Guy Lev, Michal Shmueli-Scheuer, Achiya Jerbi, David Konopnicki:
orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questions. - Jae-Mo Kang, Sunghwan Moon:
Error estimate for a universal function approximator of ReLU network with a local connection. - Qi Sun, Hexing Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong:
Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks. - Damla Çay, Till Nagel, Asim Evren Yantaç:
Understanding User Experience of COVID-19 Maps through Remote Elicitation Interviews. - Da He, Xiaoyu Shang, Jiajia Luo:
Adherent Mist and Raindrop Removal from a Single Image Using Attentive Convolutional Network. - Nicholas Wilkins, Beck Cordes Galbraith, Ifeoma Nwogu:
Modeling Global Body Configurations in American Sign Language. - Ruizhen Hu, Juzhan Xu, Bin Chen, Minglun Gong, Hao Zhang, Hui Huang:
TAP-Net: Transport-and-Pack using Reinforcement Learning. - Jordan T. Bishop, Marcus Gallagher:
Optimality-based Analysis of XCSF Compaction in Discrete Reinforcement Learning. - Jiansong Zhang, Jiang Zhu:
An optimal convergence analysis of the hybrid Raviart-Thomas mixed discontinuous Galerkin method for the Helmholtz equation. - Surgan Jandial, Ayush Chopra, Pinkesh Badjatiya, Pranit Chawla, Mausoom Sarkar, Balaji Krishnamurthy:
TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback. - Maike Buchin, Anne Driemel, Dennis Rohde:
Approximating (k, 𝓁)-Median Clustering for Polygonal Curves. - Yuyan Bao, Kirshanthan Sundararajah, Raghav Malik, Qianchuan Ye, Christopher Wagner, Fei Wang, Mohammad Hassan Ameri, Donghang Lu, Alexander Seto, Benjamin Delaware, Roopsha Samanta, Aniket Kate, Christina Garman, Jeremiah Blocki, Pierre-David Letourneau, Benoît Meister, Jonathan Springer, Tiark Rompf, Milind Kulkarni:
HACCLE: An Ecosystem for Building Secure Multi-Party Computations. - Qiang Chen, Yu Zhao, Guanghui Wen, Guoqing Shi, Xinghuo Yu:
Fixed-Time Cooperative Tracking Control for Double-Integrator Multi-Agent Systems: A Time-Based Generator Approach. - Alexander Jung:
Explainable Empirical Risk Minimization. - Ran Tian, Liting Sun, Masayoshi Tomizuka:
Bounded Risk-Sensitive Markov Game and Its Inverse Reward Learning Problem. - Gregor Bankhamer, Robert Elsässer, Stefan Schmid:
Local Fast Rerouting with Low Congestion: A Randomized Approach. - Vincenzo Bonifaci, Enrico Facca, Frederic Folz, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn, Giovanna Morigi, Golnoosh Shahkarami, Quentin Vermande:
Physarum Multi-Commodity Flow Dynamics. - Álvaro Pé de la Riva, Carmen Rodrigo, Francisco José Gaspar:
A two level method for isogeometric discretizations. - Bartosz Walter, Branko Marovic, Ivan Garnizov, Marcin Wolski, Andrijana Todosijevic:
Best practices for software maturity improvement: a GÉANT case study. - Pengyuan Zhou, Xianfu Chen, Zhi Liu, Tristan Braud, Pan Hui, Jussi Kangasharju:
DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control. - Loïc Cudennec:
Software-Distributed Shared Memory for Heterogeneous Machines: Design and Use Considerations. - Junrui Tian, Zhiying Tu, Zhongjie Wang, Xiaofei Xu, Min Liu:
User Intention Recognition and Requirement Elicitation Method for Conversational AI Services. - Xavier Dahan, Tristan Vaccon:
On a non-archimedean broyden method. - Harish Doraiswamy, Julien Tierny, Paulo J. S. Silva, Luis Gustavo Nonato, Cláudio T. Silva:
TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data. - Shao-Bo Lin, Xiangyu Chang, Xingping Sun:
Kernel Interpolation of High Dimensional Scattered Data. - Steffen Herbold, Tobias Haar:
Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects. - Yikuan Li, Hanyin Wang, Yuan Luo:
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports. - Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence. - Lukas Hewing, Marcel Menner, Nikolaos Tachatos, Marianne Schmid Daners, Cosima du Pasquier, Thomas S. Lumpe, Kristina Shea, Andrea Carron, Melanie N. Zeilinger:
Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation. - Diego Freire, Sergi Robles, Carlos Borrego:
Towards a Methodology for the Development of Routing Algorithms in Opportunistic Networks. - Shahar Segal, Yossi Adi, Benny Pinkas, Carsten Baum, Chaya Ganesh, Joseph Keshet:
Fairness in the Eyes of the Data: Certifying Machine-Learning Models. - Anil S. Baslamisli, Yang Liu, Sezer Karaoglu, Theo Gevers:
Physics-based Shading Reconstruction for Intrinsic Image Decomposition. - Yotaro Seki, Shinpei Hayashi, Motoshi Saeki:
Detecting Bad Smells in Use Case Descriptions. - Avery Miller, Ullash Saha:
Fast Byzantine Gathering with Visibility in Graphs. - Dilip J. Hiremath, Martin Claus, Wilhelm Hasselbring, Willi Rath:
Automated identification of metamorphic test scenarios for an ocean-modeling application. - Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter:
Sample-Efficient Automated Deep Reinforcement Learning. - Arthur-Jozsef Molnar, Alexandra Neamtu, Simona Motogna:
Evaluation of Software Product Quality Metrics. - Jingru Tan, Gang Zhang, Hanming Deng, Changbao Wang, Lewei Lu, Quanquan Li, Jifeng Dai:
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask. - Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Biomedical named entity recognition using BERT in the machine reading comprehension framework. - Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. - Marc Hanussek, Matthias Blohm, Maximilien Kintz:
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark. - Boseong Felipe Jeon, Dongseok Shim, H. Jin Kim:
Detection-Aware Trajectory Generation for a Drone Cinematographer. - Sotiris E. Nikoletseas, Christoforos L. Raptopoulos, Paul G. Spirakis:
MAX CUT in Weighted Random Intersection Graphs and Discrepancy of Sparse Random Set Systems. - Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Remote Joint Strong Coordination and Reliable Communication. - Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy:
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance. - Giulia Cervia, Germán Bassi, Mikael Skoglund:
Secure Strong Coordination. - Vasco Lopes, Luís A. Alexandre:
Auto-Classifier: A Robust Defect Detector Based on an AutoML Head. - Stefano Bianchini, Moritz Müller, Pierre Pelletier:
Deep Learning in Science. - Adrian Lopez Rodriguez, Krystian Mikolajczyk:
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency. - Duy Thanh Nguyen, Hyun Kim, Hyuk-Jae Lee:
Layer-specific Optimization for Mixed Data Flow with Mixed Precision in FPGA Design for CNN-based Object Detectors. - Andreas Frommer, Claudia Schimmel, Marcel Schweitzer:
Analysis of probing techniques for sparse approximation and trace estimation of decaying matrix functions. - Efthymios N. Karatzas, Gianluigi Rozza:
A Reduced Order Model for a stable embedded boundary parametrized Cahn-Hilliard phase-field system based on cut finite elements. - Mehmet S. Aktas, Gauri Joshi, Swanand Kadhe, Fatemeh Kazemi, Emina Soljanin:
Service Rate Region: A New Aspect of Coded Distributed System Design. - Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation. - Hootan Alavizadeh, Hooman Alavizadeh, Julian Jang-Jaccard:
Cyber Situation Awareness Monitoring and Proactive Response for Enterprises on the Cloud. - Attila Egri-Nagy, Antti Törmänen:
Derived metrics for the game of Go - intrinsic network strength assessment and cheat-detection. - Mansi Sood, Osman Yagan:
On the Size of the Giant Component in Inhomogeneous Random K-out Graphs. - Emilio Garcia-Fidalgo, Francisco Bonnín-Pascual, Joan P. Company-Corcoles, Alberto Ortiz:
Evaluation of a Skill-based Control Architecture for a Visual Inspection-oriented Aerial Platform. - Botao Peng:
Data Series Indexing Gone Parallel. - Zixuan Xiao, Ping Zhong, Yuan Quan, Xuping Yin, Wei Xue:
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images. - Menua Gevorgyan:
Modification method for single-stage object detectors that allows to exploit the temporal behaviour of a scene to improve detection accuracy. - Arnie L. Van Buren:
Calculation of oblate spheroidal wave functions with complex argument. - Saaduddin Mahmud, Md. Mosaddek Khan, Nicholas R. Jennings:
On Population-Based Algorithms for Distributed Constraint Optimization Problems. - Jiuniu Wang, Wenjia Xu, Xingyu Fu, Yang Wei, Li Jin, Ziyan Chen, Guangluan Xu, Yirong Wu:
SRQA: Synthetic Reader for Factoid Question Answering. - Michele Battagliola, Riccardo Longo, Alessio Meneghetti, Massimiliano Sala:
A Provably-Unforgeable Threshold EdDSA with an Offline Recovery Party. - Kaixuan Long, Ying Cui, Chencheng Ye, Zhi Liu:
Optimal Wireless Streaming of Multi-Quality 360 VR Video by Exploiting Natural, Relative Smoothness-enabled and Transcoding-enabled Multicast Opportunities. - Anirudh Paranjothi, Mohammed Atiquzzaman, Mohammad S. Khan:
Message Dissemination in Connected Vehicles. - Marin Orsic, Petra Bevandic, Ivan Grubisic, Josip Saric, Sinisa Segvic:
Multi-domain semantic segmentation with pyramidal fusion. - Hongyinping Feng, Xiao-hui Wu, Bao-Zhu Guo:
Dynamics Compensation in Observation of Abstract Linear Systems. - Anav Mehta:
Augmented Reality Chess Analyzer (ARChessAnalyzer): In-Device Inference of Physical Chess Game Positions through Board Segmentation and Piece Recognition using Convolutional Neural Network. - Iuliana Marin, Maria-Iuliana Bocicor, Arthur-Jozsef Molnar:
Indoor Localization Techniques Within a Home Monitoring Platform. - Zhiming Chen, Ke Li, Xueshuang Xiang:
An adaptive high-order unfitted finite element method for elliptic interface problems. - Bakary Kone, Salimata Gueye Diagne, Dethie Dione, Coumba Diallo:
Analysis of an M/G/1 system for the optimization of the RTG performances in the delivery of containers in Abidjan Terminal. - Akanksha Baghel, Meemansa Rathod, Pradeep Singh:
Software Effort Estimation using parameter tuned Models. - Kai Dresia, Simon Jentzsch, Günther Waxenegger-Wilfing, Robson Hahn, Jan Christian Deeken, Michael Oschwald, Fabio Mota:
Multidisciplinary Design Optimization of Reusable Launch Vehicles for Different Propellants and Objectives. - Felix Gaisbauer, Armin Pournaki, Sven Banisch, Eckehard Olbrich:
How Twitter affects the perception of public opinion: Two case studies. - Robert Prentner:
A Predictive Strategy for the Iterated Prisoner's Dilemma. - Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang:
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. - Xiangmin Jiao, Qiao Chen:
Approximate Generalized Inverses with Iterative Refinement for ε-Accurate Preconditioning of Singular Systems. - Yanqiao Zhu, Yichen Xu, Feng Yu, Shu Wu, Liang Wang:
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning. - Radoslav Fulek, Michael J. Pelsmajer, Marcus Schaefer:
Strong Hanani-Tutte for the Torus. - Jasmeen Kaur, Sukhendu Das:
Future Frame Prediction of a Video Sequence. - Yuyang Jin, Haojie Wang, Teng Yu, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai:
ScalAna: Automating Scaling Loss Detection with Graph Analysis. - Ralf Ramsauer, Lukas Bulwahn, Daniel Lohmann, Wolfgang Mauerer:
The Sound of Silence: Mining Security Vulnerabilities from Secret Integration Channels in Open-Source Projects. - Roza G. Bayrak, Nhung Hoang, Colin B. Hansen, Catie Chang, Matthew Berger:
PRAGMA: Interactively Constructing Functional Brain Parcellations. - Michal Beran, Frantisek Hrdina, Daniel Kouril, Radek Oslejsek, Kristína Zákopcanová:
Exploratory Analysis of File System Metadata for Rapid Investigation of Security Incidents. - Mujahid Sultan:
Linking Stakeholders' Viewpoint Concerns and Microservices-based Architecture. - Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
A Design Framework for Epsilon-Private Data Disclosure. - James Barry, Joachim Wagner, Jennifer Foster:
The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task. - Gili Rusak, Lisa Yan:
Unique Exams: Designing assessments for integrity and fairness. - Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Exploring Artist Gender Bias in Music Recommendation. - Pablo Fondo-Ferreiro, Felipe J. Gil-Castiñeira, Francisco Javier González-Castaño, David Candal-Ventureira:
A Software-Defined Networking Solution for Transparent Session and Service Continuity in Dynamic Multi-Access Edge Computing. - Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink:
Multi-Loss Weighting with Coefficient of Variations. - Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, Stephen Clark:
Grounded Language Learning Fast and Slow. - Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints. - Jannik Fischbach, Henning Femmer, Daniel Méndez, Davide Fucci, Andreas Vogelsang:
What Makes Agile Test Artifacts Useful? An Activity-Based Quality Model from a Practitioners' Perspective. - Haoyu Zhang, Sushma Venkatesh, Raghavendra Ramachandra, Kiran B. Raja, Naser Damer, Christoph Busch:
MIPGAN - Generating Robust and High Quality Morph Attacks Using Identity Prior Driven GAN. - Vladimir P. Gerdt, Daniel Robertz, Yuri A. Blinkov:
Strong Consistency and Thomas Decomposition of Finite Difference Approximations to Systems of Partial Differential Equations. - Guanhua Fang, Owen G. Ward, Tian Zheng:
Online Community Detection for Event Streams on Networks. - Alyxander Burns, Cindy Xiong, Steven Franconeri, Alberto Cairo, Narges Mahyar:
How to evaluate data visualizations across different levels of understanding. - Lingzhi Zhao, Ying Cui, Chengjun Guo, Zhi Liu:
Optimal Streaming of 360 VR Videos with Perfect, Imperfect and Unknown FoV Viewing Probabilities. - Stefan Steinerberger:
Surrounding the solution of a Linear System of Equations from all sides. - Peter Benner, Heike Faßbender, Philip Saltenberger:
A rational Even-IRA algorithm for the solution of T-even polynomial eigenvalue problems. - Sarnath Ramnath, Venkata M. V. Gunturi:
Optimal Load Balanced Demand Distribution under Overload Penalties. - Weijia Wu, Ning Lu, Enze Xie:
Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild. - Wolfgang Fischl, Georg Gottlob, Davide Mario Longo, Reinhard Pichler:
HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings. - Erik C. Rye, Jeremy Blackburn, Robert Beverly:
Reading In-Between the Lines: An Analysis of Dissenter. - Erwan Mahe, Boutheina Bannour, Christophe Gaston, Arnault Lapitre, Pascale Le Gall:
A small-step approach to multi-trace checking against interactions. - Michael Oppermann, Tamara Munzner:
Data-First Visualization Design Studies. - Stefan C. Schonsheck:
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning. - Ghadir Ayache, Salim El Rouayheb:
Private Weighted Random Walk Stochastic Gradient Descent. - Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl J. Friston, Nicolas Heess:
Action and Perception as Divergence Minimization. - Martin Mundt, Yong Won Hong, Iuliia Pliushch, Visvanathan Ramesh:
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning. - Jan van den Brand, Yin Tat Lee, Danupon Nanongkai, Richard Peng, Thatchaphol Saranurak, Aaron Sidford, Zhao Song, Di Wang:
Bipartite Matching in Nearly-linear Time on Moderately Dense Graphs. - Tsendsuren Munkhdalai:
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling. - Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg:
Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation. - Aishwarya Pothula, Md Ashaduzzaman Rubel Mondol, Sanath Narasimhan, S. M. Mazharul Islam, Deokgun Park:
SEDRo: A Simulated Environment for Developmental Robotics. - Xuli Tang, Xin Li, Ying Ding, Min Song, Yi Bu:
The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error. - Hagen Lehmann, Adam Rojik, Matej Hoffmann:
Should a small robot have a small personal space? Investigating personal spatial zones and proxemic behavior in human-robot interaction. - Mario Graff, Daniela Moctezuma, Sabino Miranda-Jiménez, Eric Sadit Tellez:
A Python Library for Exploratory Data Analysis and Knowledge Discovery on Twitter Data. - Thibault Gauthier:
Tree Neural Networks in HOL4. - Chen Gao, Ayush Saraf, Jia-Bin Huang, Johannes Kopf:
Flow-edge Guided Video Completion. - J. Chen, Zhenyu Gao:
A Comprehensive Pipeline for Hotel Recommendation System. - Christopher L. Gorham:
Developing Enterprise Cyber Situational Awareness. - Michael Lomnitz, Zigfried Hampel-Arias, Nina Lopatina, Felipe A. Mejia:
A general approach to bridge the reality-gap. - Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding:
ESMFL: Efficient and Secure Models for Federated Learning. - Zahra Tarkhani, Anil Madhavapeddy:
Sirius: Enabling System-Wide Isolation for Trusted Execution Environments. - Mrinalkanti Ghosh, Fernando Granha Jeronimo, Chris Jones, Aaron Potechin, Goutham Rajendran:
Sum-of-Squares Lower Bounds for Sherrington-Kirkpatrick via Planted Affine Planes. - Chen Fu, Chiyu Dong, Christoph Mertz, John M. Dolan:
Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera. - Felicien Ihirwe, Davide Di Ruscio, Silvia Mazzini, Pierluigi Pierini, Alfonso Pierantonio:
Low-code Engineering for Internet of things: A state of research. - Said Jawad Saidi, Anna Maria Mandalari, Roman Kolcun, Hamed Haddadi, Daniel J. Dubois, David R. Choffnes, Georgios Smaragdakis, Anja Feldmann:
A Haystack Full of Needles: Scalable Detection of IoT Devices in the Wild. - Nicolai Kraus:
Internal ∞-Categorical Models of Dependent Type Theory: Towards 2LTT Eating HoTT. - Ulrich Aïvodji, Alexandre Bolot, Sébastien Gambs:
Model extraction from counterfactual explanations. - Priyanka Singh:
Robust Homomorphic Video Hashing. - Torin McDonald, Will Usher, Nate Morrical, Attila Gyulassy, Steve Petruzza, Frederick Federer, Alessandra Angelucci, Valerio Pascucci:
Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements. - Hao Peng, Misha Teplitskiy, David Jurgens:
Author Mentions in Science News Reveal Wide-Spread Ethnic Bias. - Peng Hu:
IoT-based Contact Tracing Systems for Infectious Diseases: Architecture and Analysis. - Ryan G. McClarren, Nick A. Gentile:
Frequency-Dependent Material Motion Benchmarks for Radiative Transfer. - Suyun "Sandra" Bae, Federico Rossi, Joshua Vander Hook, Scott Davidoff, Kwan-Liu Ma:
A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems' Worldviews. - Quintino Francesco Lotito, Alberto Montresor:
Efficient Algorithms to Mine Maximal Span-Trusses From Temporal Graphs. - Vedang M. Deshpande, Raktim Bhattacharya:
Sparse Sensing and Optimal Precision: Robust H∞ Optimal Observer Design with Model Uncertainty. - Alejandro Cohen, Rafael G. L. D'Oliveira, Salman Salamatian, Muriel Médard:
Network Coding-Based Post-Quantum Cryptography. - Arun Kumar Singh, Priyanka Singh:
Detection of AI-Synthesized Speech Using Cepstral & Bispectral Statistics. - Samarth Rawal, Chitta Baral:
Multi-Perspective Semantic Information Retrieval. - Blake Anderson, David A. McGrew:
Accurate TLS Fingerprinting using Destination Context and Knowledge Bases. - Alan Kuhnle:
Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization. - Gustavo Padilha Polleti, Douglas Luan de Souza, Fábio Gagliardi Cozman:
Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems. - Varigonda Pavan Teja, Priyadarshini Panda:
Compression-aware Continual Learning using Singular Value Decomposition. - Marcelo de Rezende Martins, Marco Aurélio Gerosa:
CoNCRA: A Convolutional Neural Network Code Retrieval Approach. - Farah Samouh, Veronica Gluza, Shadi Djavadian, Seyed Mehdi Meshkani, Bilal Farooq:
Multimodal Autonomous Last Mile Delivery System Design and Application. - Mohammad Mukhtaruzzaman, Mohammed Atiquzzaman:
Clustering in VANET: Algorithms and Challenges. - Akira Matsui, Emilio Ferrara, Fred Morstatter, Andrés Abeliuk, Aram Galstyan:
Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms. - Seyed Mehdi Iranmanesh, Ali Dabouei, Nasser M. Nasrabadi:
Attribute Adaptive Margin Softmax Loss using Privileged Information. - Zhouyu Lu, Zhichao Liu, Gustavo J. Correa, Konstantinos Karydis:
Motion Planning for Collision-resilient Mobile Robots in Obstacle-cluttered Unknown Environments with Risk Reward Trade-offs. - Hong-You Chen, Wei-Lun Chao:
FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning. - Leandro Freitas, Bruno Henrique Groenner Barbosa, Luis Antonio Aguirre:
Including steady-state information in nonlinear models: an application to the development of soft-sensors. - Rikhav Shah, Sandeep Silwal:
Smoothed analysis of the condition number under low-rank perturbations. - Mohammad Fasha, Bassam Hammo, Nadim Obeid, Jabir Widian:
A Hybrid Deep Learning Model for Arabic Text Recognition. - Yuanyu Zhang, Yulong Shen, Xiaohong Jiang, Shoji Kasahara:
Secure Millimeter-Wave Ad Hoc Communications Using Physical Layer Security. - Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou:
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning. - Lei Zheng, Rui Yang, Jiesen Pan, Hui Cheng, Haifeng Hu:
Safe Online Learning Tracking Control for Quadrotors under Wind Disturbances. - Zichang He, Zheng Zhang:
High-Dimensional Uncertainty Quantification via Active and Rank-Adaptive Tensor Regression. - Diogo C. Luvizon, Hedi Tabia, David Picard:
SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression. - Tarik Crnovrsanin, Shilpika, Senthil K. Chandrasegaran, Kwan-Liu Ma:
Staged Animation Strategies for Online Dynamic Networks. - Jiyang Yu, Ravi Ramamoorthi, Ke-Li Cheng, Michel Sarkis, Ning Bi:
Real-Time Selfie Video Stabilization. - Jaeseong Lee, Duseok Kang, Soonhoi Ha:
S3NAS: Fast NPU-aware Neural Architecture Search Methodology. - Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna:
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. - Chen Chen, Anrin Chakraborti, Radu Sion:
PEARL: Plausibly Deniable Flash Translation Layer using WOM coding. - Edmond Chow, Andreas Frommer, Daniel B. Szyld:
Asynchronous Richardson iterations. - Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo:
Dynamic Context-guided Capsule Network for Multimodal Machine Translation. - Doyeon Kim, Donggyu Joo, Junmo Kim:
TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator. - Luca Bortolussi, Francesca Cairoli, Ginevra Carbone, Francesco Franchina:
Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems. - Han Yang, Kaili Ma, James Cheng:
Rethinking Graph Regularization For Graph Neural Networks. - Hooman Alavizadeh, Samin Aref, Dong Seong Kim, Julian Jang-Jaccard:
Evaluating the Security and Economic Effects of Moving Target Defense Techniques on the Cloud. - Tung Thanh Vu, Duy T. Ngo, Hien Quoc Ngo, Minh N. Dao, Nguyen Hoang Tran, Richard H. Middleton:
User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks. - Mateusz Nurek, Radoslaw Michalski, Marian-Andrei Rizoiu:
Hawkes-modeled telecommunication patterns reveal relationship dynamics and personality traits. - Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang:
Multivariate Time-series Anomaly Detection via Graph Attention Network. - Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim:
AIR-Act2Act: Human-human interaction dataset for teaching non-verbal social behaviors to robots. - Fredrik Olsson, Magnus Sahlgren:
Data Readiness for Natural Language Processing. - Hongyinping Feng:
Delay Compensation for Regular Linear Systems. - Verena Haunschmid, Ethan Manilow, Gerhard Widmer:
Towards Musically Meaningful Explanations Using Source Separation. - Daniel Fürst, Matthias Miller, Daniel A. Keim, Alexandra Bonnici, Hanna Schäfer, Mennatallah El-Assady:
Augmenting Sheet Music with Rhythmic Fingerprints. - Foivos I. Diakogiannis, François Waldner, Peter Caccetta:
Looking for change? Roll the Dice and demand Attention. - Moshe Schorr, Oren Mishali, Benny Kimelfeld, Ophir Münz-Manor:
ViS-Á-ViS : Detecting Similar Patterns in Annotated Literary Text. - Hanchuan Xu, Xiao Wang, Yuxin Wang, Nan Li, Zhiying Tu, Zhongjie Wang, Xiaofei Xu:
Domain Priori Knowledge based Integrated Solution Design for Internet of Services. - Pengcheng Zhang, Feng Xiao, Xiapu Luo:
A Framework and DataSet for Bugs in Ethereum Smart Contracts. - Yuki Ishihara, Tristan Vaccon, Kazuhiro Yokoyama:
On FGLM Algorithms with Tropical Gröbner bases. - (Withdrawn) AutoTrans: Automating Transformer Design via Reinforced Architecture Search.
- Eleni Metheniti, Guenter Neumann, Josef van Genabith:
Linguistically inspired morphological inflection with a sequence to sequence model. - Heungseok Park, Yoonsoo Nam, Jihoon Kim, Jaegul Choo:
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks. - Seiji Ishihara, Harukazu Igarashi:
Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile. - Simon Brandeis, Adrian Jarret, Pierre Sevestre:
About Graph Degeneracy, Representation Learning and Scalability. - Liliia Ageeva, Maryam Majidi, David Pozo:
Coordination Between TSOs and DSOs: Flexibility Domain Identification. - Daniel Haimovich, Dima Karamshuk, Thomas J. Leeper, Evgeniy Riabenko, Milan Vojnovic:
Scalable Prediction of Information Cascades over Arbitrary Time Horizons. - Iuliana Marin, Maria-Iuliana Bocicor, Arthur-Jozsef Molnar:
Cyber-Physical Platform for Preeclampsia Detection. - Alejandro Benito-Santos, Roberto Therón:
GlassViz: Visualizing Automatically-Extracted Entry Points for Exploring Scientific Corpora in Problem-Driven Visualization Research. - Nijat Mehdiyev, Peter Fettke:
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring. - Annalisa Greco, Francesco Cannizzaro, Riccardo Bruno, Alessandro Pluchino:
A nested genetic algorithm strategy for the optimal plastic design of frames. - Vincent D. Warmerdam, Thomas Kober, Rachael Tatman:
Going Beyond T-SNE: Exposing whatlies in Text Embeddings. - Alexander Barabanov, Denis Makrushin:
Authentication and authorization in microservice-based systems: survey of architecture patterns. - Youngwoo Yoon, Bok Cha, Joo-Haeng Lee, Minsu Jang, Jaeyeon Lee, Jaehong Kim, Geehyuk Lee:
Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity. - Sebastian Mazza, Daniel Patel, Ivan Viola:
Homomorphic-Encrypted Volume Rendering. - Sayar Karmakar, Sanchari Das:
Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis. - Hannaneh Barahouei Pasandi, Tamer Nadeem:
Towards A Learning-Based Framework for Self-Driving Design of Networking Protocols. - Wei Duan, Yancheng Ji, Yan Zhang, Guoan Zhang, Valerio Frascolla, Xin Li:
5G Technologies Based Remote E-Health: Architecture, Applications, and Solutions. - Adam Pantanowitz, Kimoon Kim, Chelsey Chewins, Isabel N. K. Tollman, David M. Rubin:
Addressing the eye-fixation problem in gaze tracking for human computer interface using the Vestibulo-ocular Reflex. - Lukas Alber, Stefan More, Sebastian Ramacher:
Short-Lived Forward-Secure Delegation for TLS. - Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He:
A Practical Incremental Method to Train Deep CTR Models. - Joni Pajarinen:
Technical Report: The Policy Graph Improvement Algorithm. - Cornelis Jan van Leeuwen, Joost Stam, Arun Subramanian, Koen Kok:
Collaboratively Optimizing Power Scheduling and Mitigating Congestion using Local Pricing in a Receding Horizon Market. - Lyes Khacef, Laurent Rodriguez, Benoît Miramond:
Improving Self-Organizing Maps with Unsupervised Feature Extraction. - Matteo Giacomini, Luca Borchini, Rubén Sevilla, Antonio Huerta:
Separated response surfaces for flows in parametrised domains: comparison of a priori and a posteriori PGD algorithms. - Bernhard Eidel, Andreas Fischer, Ajinkya Gote:
From image data towards microstructure information - accuracy analysis at the digital core of materials. - Guangxu Zhu, Jie Xu, Kaibin Huang:
Over-the-Air Computing for 6G - Turning Air into a Computer. - Giacomo Nannicini:
On the implementation of a global optimization method for mixed-variable problems. - Tomer Barak, Yehonatan Avidan, Yonatan Loewenstein:
Naive Artificial Intelligence. - Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya:
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks. - Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow:
Phenotypical Ontology Driven Framework for Multi-Task Learning. - Yechan Kim, Younkwan Lee, Moongu Jeon:
Imbalanced Image Classification with Complement Cross Entropy. - Jae Hyun Park, Ji Sub Choi, Jong Hwan Ko:
Dual Precision Deep Neural Network. - Igor Donevski, Jimmy Jessen Nielsen:
Dynamic Standalone Drone-Mounted Small Cells. - Hadi Mardani Kamali, Kimia Zamiri Azar, Houman Homayoun, Avesta Sasan:
InterLock: An Intercorrelated Logic and Routing Locking. - Niklas Smedemark-Margulies, Paul Langton, Huy L. Nguyen:
Fair and Useful Cohort Selection. - Kimia Zamiri Azar, Hadi Mardani Kamali, Houman Homayoun, Avesta Sasan:
NNgSAT: Neural Network guided SAT Attack on Logic Locked Complex Structures. - Noa Fish, Lilach Perry, Amit Bermano, Daniel Cohen-Or:
SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis. - Haley Massa, Jeffrey Uhlmann:
Access-Adaptive Priority Search Tree. - Zeta Avarikioti, Lioba Heimbach, Roland Schmid, Roger Wattenhofer:
FnF-BFT: Exploring Performance Limits of BFT Protocols. - Cornelis Jan van Leeuwen, Przemyslaw Pawelczak:
Hybrid DCOP Solvers: Boosting Performance of Local Search Algorithms. - Taylor B. Arnold, Nathaniel Ayers, Justin Madron, Robert K. Nelson, Lauren Tilton:
Visualizing a Large Spatiotemporal Collection of Historic Photography with a Generous Interface. - Lance Eliot:
Robustness and Overcoming Brittleness of AI-Enabled Legal Micro-Directives: The Role of Autonomous Levels of AI Legal Reasoning. - Eugenio Alcalá, Vicenç Puig, Joseba Quevedo, Olivier Sename:
Fast Zonotope-Tube-based LPV-MPC for Autonomous Vehicles. - Xiangyun Ding, Wenjian Yu, Yuyang Xie, Shenghua Liu:
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA. - Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel:
KILT: a Benchmark for Knowledge Intensive Language Tasks. - Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin G. Yager, Wei Xu:
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images. - Tiemo Bang, Norman May, Ilia Petrov, Carsten Binnig:
AnyDB: An Architecture-less DBMS for Any Workload. - Konstantinos Arakadakis, Pavlos Charalampidis, Antonis Makrogiannakis, Alexandros G. Fragkiadakis:
Firmware over-the-air programming techniques for IoT networks - A survey. - Yongxin Liu, Jian Wang, Jianqiang Li, Houbing Song, Thomas Yang, Shuteng Niu, Zhong Ming:
Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices. - Suyog Kapsikar, Indrajit Saha, Khushboo Agarwal, Veeraruna Kavitha, Quanyan Zhu:
Controlling Fake News by Tagging: A Branching Process Analysis. - Jonas Geiping, Liam Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein:
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. - Shashwat Sharma, Piero Triverio:
AIMx: An Extended Adaptive Integral Method for the Fast Electromagnetic Modeling of Complex Structures. - Hadi Mansourifar, Weidong Shi:
Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack. - Tomas Vancisin, Mary Orr, Uta Hinrichs:
Externalizing Transformations of Historical Documents: Opportunities for Provenance-Driven Visualization. - Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I. W. Levin:
Chordal Decomposition for Spectral Coarsening. - Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations. - Tatiana Losev, Sarah Storteboom, Sheelagh Carpendale, Søren Knudsen:
Distributed Synchronous Visualization Design: Challenges and Strategies. - Toktam Khatibi, Ali Farahani, Hossein Sarmadian:
Proposing a two-step Decision Support System (TPIS) based on Stacked ensemble classifier for early and low cost (step-1) and final (step-2) differential diagnosis of Mycobacterium Tuberculosis from non-tuberculosis Pneumonia. - Shuowen Zhang, Rui Zhang:
Intelligent Reflecting Surface Aided Multi-User Communication: Capacity Region and Deployment Strategy. - Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar:
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks. - Raphaël Royer-Rivard, Fantin Girard, Nagib Dahdah, Farida Cheriet:
End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences. - Chi Zhang, Yan-Hao Chen, Yuwei Jin, Wonsun Ahn, Youtao Zhang, Eddy Z. Zhang:
SlackQ : Approaching the Qubit Mapping Problem with A Slack-aware Swap Insertion Scheme. - Alejandro Benito-Santos, Roberto Therón:
Pilaster: A Collection of Citation Metadata Extracted From Publications on Visualization for the Digital Humanities. - Lissy Langer, Thomas Volling:
An optimal home energy management system for modulating heat pumps and photovoltaic systems. - Jiaxin Wu, Pingfeng Wang:
Risk-Averse Optimization for Resilience Enhancement of Complex Engineering Systems under Uncertainties. - Giuseppe Siracusano, Salvator Galea, Davide Sanvito, Mohammad Malekzadeh, Hamed Haddadi, Gianni Antichi, Roberto Bifulco:
Running Neural Networks on the NIC. - Hesam Nejati Sharif Aldin, Mostafa Razavi Ghods, Hossein Deldari:
"Reduction of Monetary Cost in Cloud Storage System by Using Extended Strict Timed Causal Consistency". - Mina Naghshnejad, Tarun Joshi, Vijayan N. Nair:
Recent Trends in the Use of Deep Learning Models for Grammar Error Handling. - Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov:
LFGCN: Levitating over Graphs with Levy Flights. - Stephen Kasica, Charles Berret, Tamara Munzner:
Table Scraps: An Actionable Framework for Multi-Table Data Wrangling From An Artifact Study of Computational Journalism. - Richard Brath:
Literal Encoding: Text is a first-class data encoding. - Zhi Gang Liu, Paul N. Whatmough, Matthew Mattina:
Sparse Systolic Tensor Array for Efficient CNN Hardware Acceleration. - Bonifaz Stuhr, Jürgen Brauer:
Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning. - Andrew M. McNutt, Agatha Kim, Sergio Elahi, Kazutaka Takahashi:
Supporting Expert Close Analysis of Historical Scientific Writings: A Case Study for Near-by Reading. - Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution. - Sebastian U. Stich:
On Communication Compression for Distributed Optimization on Heterogeneous Data. - Dan Li, Dariush Fooladivanda, Sonia Martínez:
Online Learning of Parameterized Uncertain Dynamical Environments with Finite-sample Guarantees. - Recep Yusuf Bekci, Mehmet Gümüs:
Visualizing the Loss Landscape of Actor Critic Methods with Applications in Inventory Optimization. - Bharti Munjal, Sikandar Amin, Fabio Galasso:
Class Interference Regularization. - Javad Rahimipour Anaraki, Silvia Orlandi, Tom Chau:
A Deep Learning Approach to Tongue Detection for Pediatric Population. - Pablo Andretta Jaskowiak, Ivan Gesteira Costa, Ricardo José Gabrielli Barreto Campello:
The Area Under the ROC Curve as a Measure of Clustering Quality. - (Withdrawn) Video Moment Retrieval via Natural Language Queries.
- Mohammed Nabeel, Mohammed Ashraf, Satwik Patnaik, Vassos Soteriou, Ozgur Sinanoglu, Johann Knechtel:
2.5D Root of Trust: Secure System-Level Integration of Untrusted Chiplets. - Waseem Abbas, Mudassir Shabbir, Jiani Li, Xenofon D. Koutsoukos:
Interplay Between Resilience and Accuracy in Resilient Vector Consensus in Multi-Agent Networks. - Tom Grimes, Eric Church, William Pitts, Lynn Wood:
Explanation of Unintended Radiated Emission Classification via LIME. - Harshal A. Chaudhari, Sangdi Lin, Ondrej Linda:
A General Framework for Fairness in Multistakeholder Recommendations. - Alvin Chan, Martin D. Levine, Mehrsan Javan:
Player Identification in Hockey Broadcast Videos. - Drew Schmidt, Bronson Messer, M. Todd Young, Michael A. Matheson:
Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation. - Evan M. Williams, Paul Rodrigues, Valerie Novak:
Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of claims using transformer-based models. - Binghan He, Jaemin Lee, Ufuk Topcu, Luis Sentis:
BP-RRT: Barrier Pair Synthesis for Temporal Logic Motion Planning. - Louise Gillian C. Bautista, Prospero C. Naval Jr.:
GazeMAE: General Representations of Eye Movements using a Micro-Macro Autoencoder. - Cristiano Politowski, Foutse Khomh, Simone Romano, Giuseppe Scanniello, Fábio Petrillo, Yann-Gaël Guéhéneuc, Abdou Maiga:
A Large Scale Empirical Study of the Impact of Spaghetti Code and Blob Anti-patterns on Program Comprehension. - N. Joseph Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, Rongjie Lai:
Optimizing Mode Connectivity via Neuron Alignment. - Cristiano Politowski, Fábio Petrillo, Gabriel C. Ullmann, Yann-Gaël Guéhéneuc:
Game Industry Problems: an Extensive Analysis on the Gray Literature. - Cristiano Politowski, Lisandra M. Fontoura, Fábio Petrillo, Yann-Gaël Guéhéneuc:
Learning from the past: A process recommendation system for video game projects using postmortems experiences. - Cristiano Politowski, Lisandra M. Fontoura, Fábio Petrillo, Yann-Gaël Guéhéneuc:
Are the Old Days Gone? A Survey on Actual Software Engineering Processes in Video Game Industry. - Charlene Yang:
Hierarchical Roofline Analysis: How to Collect Data using Performance Tools on Intel CPUs and NVIDIA GPUs. - Mrinal Kumar, Ben Lee Volk:
A Lower Bound on Determinantal Complexity. - Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. - Daehyeok Kim, Ankush Jain, Zaoxing Liu, George Amvrosiadis, Damian Hazen, Bradley W. Settlemyer, Vyas Sekar:
Unleashing In-network Computing on Scientific Workloads. - Xiao Xie, Fan Du, Yingcai Wu:
A Visual Analytics Approach for Exploratory Causal Analysis: Exploration, Validation, and Applications. - Hongwei Zhou, Oskar Elek, Pranav Anand, Angus G. Forbes:
Bio-inspired Structure Identification in Language Embeddings. - Himel Dev, Hossein Hamooni:
Profiling US Restaurants from Billions of Payment Card Transactions. - Jiayi Eris Zhang, Seungbae Bang, David I. W. Levin, Alec Jacobson:
Complementary Dynamics. - Chuanhao Li, Qingyun Wu, Hongning Wang:
Unifying Clustered and Non-stationary Bandits. - Xiao Xie, Jiachen Wang, Hongye Liang, Dazhen Deng, Shoubin Cheng, Hui Zhang, Wei Chen, Yingcai Wu:
PassVizor: Toward Better Understanding of the Dynamics of Soccer Passes. - Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi:
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. - Lei Cheng, Zhongtao Chen, Qingjiang Shi, Yik-Chung Wu, Sergios Theodoridis:
Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior. - Muhammad Usama, Rupendra Nath Mitra, Inaam Ilahi, Junaid Qadir, Mahesh K. Marina:
Examining Machine Learning for 5G and Beyond through an Adversarial Lens. - Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Xiaojin Zhu:
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. - Wonyong Sung, Iksoo Choi, Jinhwan Park, Seokhyun Choi, Sungho Shin:
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima. - Florian Martin, Ulrich Reif:
Trimmed Spline Surfaces with Accurate Boundary Control. - Iuliana Marin, Maria-Iuliana Bocicor, Arthur-Jozsef Molnar:
Intelligent Luminaire based Real-time Indoor Positioning for Assisted Living. - Martin Hutzenthaler, Arnulf Jentzen, Thomas Kruse, Tuan Anh Nguyen:
Multilevel Picard approximations for high-dimensional semilinear second-order PDEs with Lipschitz nonlinearities. - Fangfang Zhou, Yong Zhao, Wenjiang Chen, Yijing Tan, Yaqi Xu, Yi Chen, Chao Liu, Ying Zhao:
Reverse-engineering Bar Charts Using Neural Networks. - Zi Ye, Nobuyuki Umetani, Takeo Igarashi, Tim Hoffmann:
A curvature and density-based generative representation of shapes. - Ying Zhao, Haojin Jiang, Qi'an Chen, Yaqi Qin, Huixuan Xie, Yitao Wu, Shixia Liu, Zhiguang Zhou, Jiazhi Xia, Fangfang Zhou:
Preserving Minority Structures in Graph Sampling. - Ramin Vakili, Mojdeh Khorsand, Vijay Vittal, Bill Robertson, Philip Augustin:
An Algorithmic Approach for Identifying Critical Distance Relays for Transient Stability Studies. - Maria-Iuliana Bocicor, Maria Dascalu, Agnieszka Gaczowska, Sorin Hostiuc, Alin Moldoveanu, Antonio Molina, Arthur-Jozsef Molnar, Ionut Negoi, Vlad Racovita:
Technological Platform for the Prevention and Management of Healthcare Associated Infections and Outbreaks. - Mario Amrein:
Linearized Continuous Galerkin hp-FEM Applied to Nonlinear Initial Value Problems. - David Fernández Blanco, Frédéric Le Mouël:
Infrastructure de Services Cloud FaaS sur noeuds IoT. - Erico Tjoa, Cuntai Guan:
Generalization on the Enhancement of Layerwise Relevance Interpretability of Deep Neural Network. - Nader H. Bshouty, Catherine A. Haddad-Zaknoon:
Optimal Deterministic Group Testing Algorithms to Estimate the Number of Defectives. - Bo Jiang, Panpan Zhang, Lili Huang:
Visual Object Tracking by Segmentation with Graph Convolutional Network. - Abdullatif Köksal, Hilal Dönmez, Riza Özçelik, Elif Ozkirimli, Arzucan Özgür:
Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature. - Quan Li, Zhenhui Peng, Haipeng Zeng, Qiaoan Chen, Lingling Yi, Ziming Wu, Xiaojuan Ma, Tianjian Chen:
Friend Network as Gatekeeper: A Study of WeChat Users' Consumption of Friend-Curated Contents. - Xuan He, Kui Cai, Liang Zhou:
A Class of Optimal Structures for Node Computations in Message Passing Algorithms. - Qiang Qiang Liu, Quan Li, Chun Feng Tang, Huanbin Lin, Xiaojuan Ma, Tianjian Chen:
A Visual Analytics Approach to Scheduling Customized Shuttle Buses via Perceiving Passengers' Travel Demands. - Jingjie Lv, Ruihu Li, Yu Yao:
Extended quasi-cyclic constructions of quantum codes and entanglement-assisted quantum codes. - Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar:
HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. - Weidong Mei, Rui Zhang:
Performance Analysis and User Association Optimization for Wireless Network Aided by Multiple Intelligent Reflecting Surfaces. - Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye:
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices. - Matthew Berger:
Visually Analyzing Contextualized Embeddings. - Pei Fang, Zhendong Cai, Hui Chen, Qingjiang Shi:
FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework. - Basheer Qolomany, Kashif Ahmad, Ala I. Al-Fuqaha, Junaid Qadir:
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services. - Chao Li, Balaji Palanisamy, Runhua Xu, Jian Wang, Jiqiang Liu:
NF-Crowd: Nearly-free Blockchain-based Crowdsourcing. - Ziwei Zhang, Chenhao Niu, Peng Cui, Bo Zhang, Wei Cui, Wenwu Zhu:
A Simple and General Graph Neural Network with Stochastic Message Passing. - Borneel Bikash Phukan, Amiya Ranjan Panda:
An Efficient Technique for Image Captioning using Deep Neural Network. - Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva:
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. - Param Khakhar, Rahul Kumar Dubey:
The Integrity of Machine Learning Algorithms against Software Defect Prediction. - Selim Firat Yilmaz, Suleyman Serdar Kozat:
PySAD: A Streaming Anomaly Detection Framework in Python. - Asma M. Naim, Kithmin Wickramasinghe, Ashwin De Silva, Malsha V. Perera, Thilina Dulantha Lalitharatne, Simon Lind Kappel:
Low-cost Active Dry-Contact Surface EMG Sensor for Bionic Arms. - Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youvao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT. - Shachar Ben Dayan, David Mendlovic, Raja Giryes:
Deep Sparse Light Field Refocusing. - Aaron Bernstein, Maximilian Probst Gutenberg, Thatchaphol Saranurak:
Deterministic Decremental Reachability, SCC, and Shortest Paths via Directed Expanders and Congestion Balancing. - Rupayan Neogy, Jonathan Zong, Arvind Satyanarayan:
Representing Real-Time Multi-User Collaboration in Visualizations. - Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao:
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation. - Tomer Raviv, Asaf Schwartz, Yair Be'ery:
Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes. - Andrei Apostol, Maarten Stol, Patrick Forré:
FlipOut: Uncovering Redundant Weights via Sign Flipping. - Ashkan Zehfroosh, Herbert G. Tanner:
A Hybrid PAC Reinforcement Learning Algorithm. - Lav R. Varshney:
Respect for Human Autonomy in Recommender Systems. - Ashkan Zehfroosh, Herbert G. Tanner:
PAC Reinforcement Learning Algorithm for General-Sum Markov Games. - Ramiro Acevedo, Christian Gómez, Bibiana López-Rodríguez:
Fully discrete finite element approximation for a family of degenerate parabolic mixed equations. - Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau:
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. - Mengyuan Yan, Gen Li, Yilin Zhu, Jeannette Bohg:
Learning Topological Motion Primitives for Knot Planning. - Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah:
MIDAS at SemEval-2020 Task 10: Emphasis Selection using Label Distribution Learning and Contextual Embeddings. - Nischal Guruwacharya, Niranjan Bhujel, Ujjwol Tamrakar, Manisha Rauniyar, Sunil Subedi, Sterling E. Berg, Timothy M. Hansen, Reinaldo Tonkoski:
Data-Driven Power Electronic Converter Modeling for Low Inertia Power System Dynamic Studies. - Shibo Zhao, Zheng Fang, HaoLai Li, Sebastian A. Scherer:
A Robust Laser-Inertial Odometry and Mapping Method for Large-Scale Highway Environments. - Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng:
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. - Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng:
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks. - Rong Su:
On Decidability of Existence of Nonblocking Supervisors Resilient to Smart Sensor Attacks. - Jack Liell-Cock, Ian R. Manchester, Guodong Shi:
Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems. - Paul Parsons, Colin M. Gray, Ali Baigelenov, Ian Carr:
Design Judgment in Data Visualization Practice. - Paul Parsons, Prakash Shukla:
Data Visualization Practitioners' Perspectives on Chartjunk. - Zheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu:
Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning. - Weishan Zhang, Qinghua Lu, Qiuyu Yu, Zhaotong Li, Yue Liu, Sin Kit Lo, Shiping Chen, Xiwei Xu, Liming Zhu:
Blockchain-based Federated Learning for Failure Detection in Industrial IoT. - Pai Liu:
QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation system based on ensemble of language model. - Qihang Zhao:
Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach. - Arjun Choudhry, Mandar Sharma, Pramod Chundury, Thomas Kapler, Derek W. S. Gray, Naren Ramakrishnan, Niklas Elmqvist:
Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality. - Chaoxing Huang, Xuanying Zhu, Tom Gedeon:
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition. - Zengsheng Zhong, Shuirun Wei, Yeting Xu, Ying Zhao, Fangfang Zhou, Feng Luo, Ronghua Shi:
SilkViser: A Visual Explorer of Blockchain-based Cryptocurrency Transaction Data. - Jiang Lu, Pinghua Gong, Jieping Ye, Changshui Zhang:
Learning from Very Few Samples: A Survey. - Elnaz Azizi, Mohammad T. H. Beheshti, Sadegh Bolouki:
A Novel Event-based Non-intrusive Load Monitoring Algorithm. - Zheng Gao, Chun Guo, Xiaozhong Liu:
Efficient Personalized Community Detection via Genetic Evolution. - Ye Zhou, Xu Wang, Liang Xian, Dan Yang:
Active Gate Drive with Gate-Drain Discharge Compensation for Voltage Balancing in Series-Connected SiC MOSFETs. - Yaron Shulami, Daniel Sigalov:
Weighted Information Filtering, Smoothing, and Out-of-Sequence Measurement Processing. - Qiang Zou, Charlie C. L. Wang, Hsi-Yung Feng:
Length-optimal tool path planning for freeform surfaces with preferred feed directions. - Vipul Bansal, Himanshu Buckchash, Balasubramanian Raman:
Computational Models for Academic Performance Estimation. - Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiapu Luo, Ting Chen:
DEFECTCHECKER: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode. - Jeroen Pijnenburg, Bertram Poettering:
Efficiency Improvements for Encrypt-to-Self. - Jalaj Upadhyay, Sarvagya Upadhyay:
A Framework for Private Matrix Analysis. - Tin Van Huynh, Luan Thanh Nguyen, Son T. Luu:
BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models. - Ke Wang, Sai Ma, Junlan Chen, Fan Ren:
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas. - Parashar Dhakal, Praveen Damacharla, Ahmad Y. Javaid, Hari K. Vege, Vijay K. Devabhaktuni:
IVACS: Intelligent Voice Assistant for Coronavirus Disease (COVID-19) Self-Assessment. - Raja Appuswamy, Vincent Joguin:
Universal Layout Emulation for Long-Term Database Archival. - Ferdi Kara, Hakan Kaya:
Improved Error Performance in NOMA-based Diamond Relaying. - Alexander B. Veretennikov:
An Improved Algorithm for Fast K-Word Proximity Search Based on Multi-Component Key Indexes. - Mika Hämäläinen, Niko Partanen, Khalid Al-Najjar, Jack Rueter, Thierry Poibeau:
Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity. - Albert Cohen, Wolfgang Dahmen, Olga Mula, James A. Nichols:
Nonlinear reduced models for state and parameter estimation. - Piotr Skowron, Arkadii Slinko, Stanislaw Szufa, Nimrod Talmon:
Participatory Budgeting with Cumulative Votes. - Gabriele Gradoni, Marco Di Renzo:
End-to-End Mutual-Coupling-Aware Communication Model for Reconfigurable Intelligent Surfaces: An Electromagnetic-Compliant Approach Based on Mutual Impedances. - Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, Preslav Nakov:
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. - Karol Antczak:
A Generative Adversarial Approach To ECG Synthesis And Denoising. - Yuhao Zhou, Qing Ye, Hailun Zhang, Jiancheng Lv:
HLSGD Hierarchical Local SGD With Stale Gradients Featuring. - Khaled A. Al-Thelaya, Marco Agus, Jens Schneider:
The Mixture Graph-A Data Structure for Compressing, Rendering, and Querying Segmentation Histograms. - Niloufar Ahmadypour, Amin Gohari:
Multi-Way Number Partitioning: an Information-Theoretic View. - Sheng-Ho Chiang, Tsaipei Wang:
Efficient Pedestrian Detection in Top-View Fisheye Images Using Compositions of Perspective View Patches. - Marcello Longo, Siddhartha Mishra, T. Konstantin Rusch, Christoph Schwab:
Higher-order Quasi-Monte Carlo Training of Deep Neural Networks. - Anton V. Proskurnikov, Giuseppe Carlo Calafiore:
New Results on Delay Robustness of Consensus Algorithms. - Hugo Bertiche, Meysam Madadi, Sergio Escalera:
DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation. - Jaeyoung Song, Deniz Gündüz, Wan Choi:
Optimal Scheduling Policy for Minimizing Age of Information with a Relay. - Arkadev Chattopadhyay, Ankit Garg, Suhail Sherif:
Towards Stronger Counterexamples to the Log-Approximate-Rank Conjecture. - Carlos Gustavo López Pombo, Marcelo F. Frias, T. S. E. Maibaum:
On the construction of explosive relation algebras. - Kailash Budhathoki, Mario Boley, Jilles Vreeken:
Discovering Reliable Causal Rules. - Nghi D. Q. Bui:
Efficient Framework for Learning Code Representations through Semantic-Preserving Program Transformations. - Reto Achermann, Nora Hossle, Lukas Humbel, Daniel David Schwyn, David A. Cock, Timothy Roscoe:
Secure Memory Management on Modern Hardware. - Dengpan Ye, Chuanxi Chen, Changrui Liu, Hao Wang, Shunzhi Jiang:
Detection Defense Against Adversarial Attacks with Saliency Map. - Stefan Ruseti, Teodor-Mihai Cotet, Mihai Dascalu:
Romanian Diacritics Restoration Using Recurrent Neural Networks. - Dominic C. Milioto:
A systematic approach to computing and indexing the fixed points of an iterated exponential. - Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, Christoph Studer:
Finite-Alphabet MMSE Equalization for All-Digital Massive MU-MIMO mmWave Communication. - Boris Lorbeer, Max Botler:
Anomaly Detection With Partitioning Overfitting Autoencoder Ensembles. - (Withdrawn) Real-time and Large-scale Fleet Allocation of Autonomous Taxis: A Case Study in New York Manhattan Island.
- Chang Wang, Jian Liang, Mingkai Huang, Bing Bai, Kun Bai, Hao Li:
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data. - Tasneem Darwish, Gunes Karabulut-Kurt, Halim Yanikomeroglu, Gamini Senarath, Peiying Zhu:
A Vision of Self-Evolving Network Management for Future Intelligent Vertical HetNet. - Anna Rörich, Tim A. Werthmann, Dominik Göddeke, Lars Grasedyck:
Bayesian inversion for electromyography using low-rank tensor formats. - Zinan Lin, Vyas Sekar, Giulia Fanti:
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements. - Suvam Mukherjee, Oded Padon, Sharon Shoham, Deepak D'Souza, Noam Rinetzky:
A Thread-Local Semantics and Efficient Static Analyses for Race Free Programs. - Karthik C. S., Inbal Livni Navon:
On Hardness of Approximation of Parameterized Set Cover and Label Cover: Threshold Graphs from Error Correcting Codes. - George-Alexandru Vlad, George-Eduard Zaharia, Dumitru-Clementin Cercel, Costin-Gabriel Chiru, Stefan Trausan-Matu:
UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis. - George-Eduard Zaharia, George-Alexandru Vlad, Dumitru-Clementin Cercel, Traian Rebedea, Costin-Gabriel Chiru:
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning. - Boning Gong, Mesut Kaya, Nava Tintarev:
Contextual Personalized Re-Ranking of Music Recommendations through Audio Features. - Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk:
An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR. - Gourab Ghatak:
A Change-Detection Based Thompson Sampling Framework for Non-Stationary Bandits. - Shuning Jin, Yue Yin, XianE Tang, Ted Pedersen:
Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines. - Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. - Stanislaw Nowak, Lyn Bartram, Pascal Haegeli:
Designing for Ambiguity: Visual Analytics in Avalanche Forecasting. - Kourosh Darvish, Enrico Simetti, Fulvio Mastrogiovanni, Giuseppe Casalino:
A Hierarchical Architecture for Human-Robot Cooperation Processes. - Farnaz Niknia, Kiamehr Rezaee, Vesal Hakami:
An SMDP-Based Approach to Thermal-Aware Task Scheduling in NoC-based MPSoC platforms. - Amey Bhangale, Subhash Khot:
Optimal Inapproximability of Satisfiable k-LIN over Non-Abelian Groups. - Ahmed Elzanaty, Anna Guerra, Francesco Guidi, Mohamed-Slim Alouini:
Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds. - Maria Kolos, Artem Sevastopolsky, Victor S. Lempitsky:
TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer. - Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk:
An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks. - Po Yang, Jun Qi, Xulong Wang, Yun Yang:
MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning. - Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan:
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation. - Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong:
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. - Yongke Wu, Yanhong Bai:
Energy-preserving mixed finite element methods for the Hodge wave equation. - Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis:
Fast and Secure Distributed Nonnegative Matrix Factorization. - Zhongyu Li, Christine Cummings, Koushil Sreenath:
Animated Cassie: A Dynamic Relatable Robotic Character. - Lin Zhou:
Multiple Private Key Generation for Continuous Memoryless Sources with A Helper. - Dongho Choi:
3D Room Layout Estimation Beyond the Manhattan World Assumption. - Hessam Moeini, I-Ling Yen, Farokh B. Bastani:
Summarization in Semantic Based Service Discovery in Dynamic IoT-Edge Networks. - Khanh Luong, Richi Nayak:
Learning Inter- and Intra-manifolds for Matrix Factorization-based Multi-Aspect Data Clustering. - Carlos Tarjano, Valdecy Pereira:
Robust Digital Envelope Estimation Via Geometric Properties of an Arbitrary Real Signal. - Hang Yang, Shan Jiang, Xinge Zhu, Mingyang Huang, Zhiqiang Shen, Chunxiao Liu, Jianping Shi:
Channel-wise Alignment for Adaptive Object Detection. - Dylan Cashman, Shenyu Xu, Subhajit Das, Florian Heimerl, Cong Liu, Shah Rukh Humayoun, Michael Gleicher, Alex Endert, Remco Chang:
CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs. - Sai Tej Paruchuri, Jia Guo, Andrew Kurdila:
Sufficient Conditions for Parameter Convergence over Embedded Manifolds using Kernel Techniques. - Sai Tej Paruchuri, Jia Guo, Andrew Kurdila:
Kernel Center Adaptation in the Reproducing Kernel Hilbert Space Embedding Method. - Zezhou Sun, Banghe Wu, Cheng-Zhong Xu, Sanjay E. Sarma, Jian Yang, Hui Kong:
Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration. - Shankar A. Deka, Dusan M. Stipanovic, Claire J. Tomlin:
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks. - Hyesang Cho, Junil Choi:
Alternating Beamforming with Intelligent Reflecting Surface Element Allocation. - Zuxing Li, György Dán, Dong Liu:
A Game Theoretic Analysis of LQG Control under Adversarial Attack. - Anupama Goparaju, Alexandre Bône, Nan Hu, Heath B. Henninger, Andrew E. Anderson, Stanley Durrleman, Matthijs Jacxsens, Alan Morris, Ibolya Csecs, Nassir Marrouche, Shireen Y. Elhabian:
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. - Xiancai Tian, Chen Zhang, Baihua Zheng:
Crowding Prediction of In-Situ Metro Passengers Using Smart Card Data. - Maryam Abdirad, Jamal Shahrabi:
Detecting Informal Organization Through Data Mining Techniques. - Erico Tjoa, Cuntai Guan:
Quantifying Explainability of Saliency Methods in Deep Neural Networks. - Zilong Wang, Zhaohong Wan, Xiaojun Wan:
TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis. - Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi:
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. - Krystof Sykora, Bestoun S. Ahmed, Miroslav Bures:
Code Coverage Aware Test Generation Using Constraint Solver. - Zhaoyu Su, Pin Siang Tan, Jun Kang Chow, Jimmy Wu, Yehur Cheong, Yu-Hsing Wang:
DV-ConvNet: Fully Convolutional Deep Learning on Point Clouds with Dynamic Voxelization and 3D Group Convolution. - Jens Grubert, Eyal Ofek, Michel Pahud, Per Ola Kristensson:
Back to the Future: Revisiting Mouse and Keyboard Interaction for HMD-based Immersive Analytics. - Aneet Kumar Dutta, Bhaskar Pratim Mukhoty, Sandeep K. Shukla:
Unsupervised Learning Based Robust Multivariate Intrusion Detection System for Cyber-Physical Systems using Low Rank Matrix. - Alex Nikolov, Giovanni Da San Martino, Ivan Koychev, Preslav Nakov:
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models. - Yuanyu Zhang, Mirei Yutaka, Masahiro Sasabe, Shoji Kasahara:
Attribute-Based Access Control for Smart Cities: A Smart Contract-Driven Framework. - Anna E. Frid, Enzo Laborde, Jarkko Peltomäki:
On prefix palindromic length of automatic words. - Khiem Vinh Tran, Hao Phu Phan, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network. - I. R. Divyasree, K. Selvamani, H. Riasudheen:
Detection of Colluded Black-hole and Grey-hole attacks in Cloud Computing. - Ammar Ahmed, Zohair Raza Hassan, Mudassir Shabbir:
A Simpler NP-Hardness Proof for Familial Graph Compression. - Eyal Ofek, Jens Grubert, Michel Pahud, Mark Phillips, Per Ola Kristensson:
Towards a Practical Virtual Office for Mobile Knowledge Workers. - Krzysztof Lakomy, Rafal Madonski, Bin Dai, Jun Yang, Piotr Kicki, Maral Ansari, Shihua Li:
Active Disturbance Rejection Control with Sensor Noise Suppressing Observer for DC-DC Buck Power Converters. - Roy Mitz, Yoel Shkolnisky:
A perturbation based out-of-sample extension framework. - Tommaso Radicioni, Elena Pavan, Tiziano Squartini, Fabio Saracco:
Analysing Twitter Semantic Networks: the case of 2018 Italian Elections. - Sara Atito Ali Ahmed, Cemre Zor, Berrin A. Yanikoglu, Muhammad Awais, Josef Kittler:
ECOC as a Method of Constructing Deep Convolutional Neural Network Ensembles. - Armand Boschin:
TorchKGE: Knowledge Graph Embedding in Python and PyTorch. - Tiago Azevedo, René de Jong, Partha Maji:
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts. - Kecheng Lu, Mi Feng, Xin Chen, Michael Sedlmair, Oliver Deussen, Dani Lischinski, Zhanglin Cheng, Yunhai Wang:
Palettailor: Discriminable Colorization for Categorical Data. - Charles Monnoyer de Galland, Samuel Martin, Julien M. Hendrickx:
Open Multi-Agent Systems with Variable Size: the Case of Gossiping. - Nan Meng, Kai Li, Jianzhuang Liu, Edmund Y. Lam:
Light Field View Synthesis via Aperture Flow and Propagation Confidence Map. - Guillaume Perez, Sebastian Ament, Carla P. Gomes, Michel Barlaud:
Efficient Projection Algorithms onto the Weighted l1 Ball. - Tiegang Fan, Junmin Chen:
A node deployment model with variable transmission distance for wireless sensor networks. - Alexander Rabinovich, Doron Tiferet:
Ambiguity Hierarchy of Regular Infinite Tree Languages. - Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, Christoph Studer:
Soft-Output Finite Alphabet Equalization for mmWAVE Massive MIMO. - Raphael Sonabend, Franz J. Király:
distr6: R6 Object-Oriented Probability Distributions Interface in R. - Paul Hagemann, Sebastian Neumayer:
Stabilizing Invertible Neural Networks Using Mixture Models. - Markus Iser, Luca Springer, Carsten Sinz:
Collaborative Management of Benchmark Instances and their Attributes. - Filippo Bistaffa, Juan A. Rodríguez-Aguilar, Jesús Cerquides:
Predicting Requests in Large-Scale Online P2P Ridesharing. - Marija Schufrin, Steven Lamarr Reynolds, Arjan Kuijper, Jörn Kohlhammer:
A Visualization Interface to Improve the Transparency of Collected Personal Data on the Internet. - Alberto Gutierrez-Torre, Josep Lluis Berral, David Buchaca Prats, Marc Guevara, Albert Soret, David Carrera:
Improving Maritime Traffic Emission Estimations on Missing Data with CRBMs. - Mai Elshehaly, Rebecca Randell, Matthew Brehmer, Lynn McVey, Natasha Alvarado, Chris P. Gale, Roy A. Ruddle:
QualDash: Adaptable Generation of Visualisation Dashboards for Healthcare Quality Improvement. - Mohammed Al-Rawi, Joeran Beel:
Towards an Interoperable Data Protocol Aimed at Linking the Fashion Industry with AI Companies. - Amir Amirinezhad, Saber Salehkaleybar, Matin Hashemi:
Active Learning of Causal Structures with Deep Reinforcement Learning. - Shaoshan Liu:
Critical Business Decision Making for Technology Startups - A PerceptIn Case Study. - Yue Liu, Qinghua Lu, Chunsheng Zhu, Qiuyu Yu:
A Blockchain-based Platform Architecture for Multimedia Data Management. - Sahar Abdelnabi, Mario Fritz:
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. - Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking. - Seyed Shahabaldin Tohidi, Yildiray Yildiz:
Handling actuator magnitude and rate saturation in uncertain over-actuated systems: A modified projection algorithm approach. - Alexander Malafeev, Anneke Hertig-Godeschalk, David R. Schreier, Jelena Skorucak, Johannes Mathis, Peter Achermann:
Automatic detection of microsleep episodes with deep learning. - Ahmad Ali Khan, Raviraj Adve:
Centralized & Distributed Deep Reinforcement Learning Methods for Downlink Sum-Rate Optimization. - Minyoung Kim, Vladimir Pavlovic:
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models. - Gregory A. Porumbescu, Donald Moynihan, Jason Anastasopoulos, Asmus Leth Olsen:
Motivated Reasoning and Blame: Responses to Performance Framing and Outgroup Triggers during COVID-19. - Sepehr Assadi, Gillat Kol, Raghuvansh R. Saxena, Huacheng Yu:
Multi-Pass Graph Streaming Lower Bounds for Cycle Counting, MAX-CUT, Matching Size, and Other Problems. - Marco Fumero, Michael Möller, Emanuele Rodolà:
Nonlinear Spectral Geometry Processing via the TV Transform. - Toshiharu Sugie, Fei Tong, Brian D. O. Anderson, Zhiyong Sun:
On global convergence of area-constrained formations of hierarchical multi-agent systems. - Shuaibin Gao, Junhao Hu, Li Tan, Chenggui Yuan:
Strong convergence rate of the truncated Euler-Maruyama method for stochastic differential delay equations with Poisson jumps. - Syed Zohaib Hassan, Kashif Ahmad, Steven Alexander Hicks, Pål Halvorsen, Ala I. Al-Fuqaha, Nicola Conci, Michael Riegler:
Visual Sentiment Analysis from Disaster Images in Social Media. - Marco Bressan, Stefano Leucci, Alessandro Panconesi:
Faster motif counting via succinct color coding and adaptive sampling. - Carmen Chan-Zheng, Pablo Borja, Jacquelien M. A. Scherpen:
Tuning Rules for Control of Nonlinear Mechanical Systems. - Harshal Tupsamudre, Sachin Lodha:
Passwords: Divided they Stand, United they Fall. - Xi Gu, Lingbin Kong, Zhicheng Wang, Jie Li, Zhaohui Yu, Gang Wei:
A Light-Weight Object Detection Framework with FPA Module for Optical Remote Sensing Imagery. - Jaume Bosch, Carlos Álvarez, Daniel Jiménez-González, Xavier Martorell, Eduard Ayguadé:
Asynchronous Runtime with Distributed Manager for Task-based Programming Models. - Kuldeep Singh, Puneet Singla, Ketan Sarode, Anurag Chandrakar, Chetan Nichkawde:
Uncovering the Corona Virus Map Using Deep Entities and Relationship Models. - Thomas Brihaye, Gilles Geeraerts, Axel Haddad, Engel Lefaucheux, Benjamin Monmege:
One-Clock Priced Timed Games with Arbitrary Weights. - Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Sadegh Aliakbarian, Nick Barnes:
Uncertainty Inspired RGB-D Saliency Detection. - Ingo Wald, Stefan Zellmann, Will Usher, Nate Morrical, Ulrich Lang, Valerio Pascucci:
Ray Tracing Structured AMR Data Using ExaBricks. - Anna Arutyunova, Melanie Schmidt:
Achieving anonymity via weak lower bound constraints for k-median and k-means. - Josimar Edinson Chire Saire, Honorio Apaza Alanoca:
Text Mining over Curriculum Vitae of Peruvian Professionals using Official Scientific Site DINA. - Liadh Kelly, Simone van der Burg, Áine Regan, Peter Mooney:
Report on the 2019 Workshop on Smart Farming and Data Analytics (SFDAI). - Luka Kolar, Rok Sikonja, Lenart Treven:
Iterative Correction of Sensor Degradation and a Bayesian Multi-Sensor Data Fusion Method. - Chen Liu, Su Zhu, Lu Chen, Kai Yu:
Robust Spoken Language Understanding with RL-based Value Error Recovery. - Min Cao, Chen Chen, Hao Dou, Xiyuan Hu, Silong Peng, Arjan Kuijper:
Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification. - Marcos Báez, Florian Daniel, Fabio Casati, Boualem Benatallah:
Chatbot integration in few patterns. - Jaewoo Lee, Daniel Kifer:
Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping. - Tong Liu, Roberto Amadini, Jacopo Mauro, Maurizio Gabbrielli:
sunny-as2: Enhancing SUNNY for Algorithm Selection. - Chao Zhu, Teng Miao, Tongyu Xu, Tao Yang, Na Li:
Stem-leaf segmentation and phenotypic trait extraction of maize shoots from three-dimensional point cloud. - Youngtaek Kim, Jaeyoung Kim, Hyeon Jeon, Young-Ho Kim, Hyunjoo Song, Bo Hyoung Kim, Jinwook Seo:
Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysis. - Tim Isbister, Magnus Sahlgren:
Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity. - Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Interpretable Deep Multimodal Image Super-Resolution. - Joe Eyles, Robert Nürnberg, Vanessa Styles:
Finite element approximation of a phase field model for tumour growth. - Bashar Tahir, Stefan Schwarz, Markus Rupp:
Analysis of Uplink IRS-Assisted NOMA under Nakagami-m Fading via Moments Matching. - Josh Kalin, Matthew Ciolino, David Noever, Gerry V. Dozier:
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing. - Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. - Nicola Castaman, Enrico Pagello, Emanuele Menegatti, Alberto Pretto:
Receding Horizon Task and Motion Planning in Dynamic Environments. - Srikanth Jonnada, Ram Dantu, Ishan Ranasinghe, Logan Widick, Mark A. Thompson, Janice A. Hauge:
Cyber-Human System for Remote Collaborators. - Tzu-Hsuan Liu, Che-Hao Yu, Yi-Jheng Lin, Cheng-Shang Chang, Duan-Shin Lee:
ALOHA Receivers: a Network Calculus Approach for Analyzing Coded Multiple Access with SIC. - Tianyu Zhao, Xiang Pan, Minghua Chen, Andreas Venzke, Steven H. Low:
DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility. - Marat V. Burnashev:
New Upper Bounds in the Hypothesis Testing Problem with Information Constraints. - Pavel Korshunov, Sébastien Marcel:
Deepfake detection: humans vs. machines. - Yuya Sasaki, Yasuhiro Fujiwara, Makoto Onizuka:
Efficient Network Reliability Computation in Uncertain Graphs. - Mayank Golhar, Taylor L. Bobrow, Mirmilad Pourmousavi Khoshknab, Simran Jit, Saowanee Ngamruengphong, Nicholas J. Durr:
Improving colonoscopy lesion classification using semi-supervised deep learning. - Jie Liu, Tim Dwyer, Guido Tack, Samuel Gratzl, Kim Marriott:
Supporting the Problem-Solving Loop: Designing Highly Interactive Optimisation Systems. - Yulei Wu, Hong-Ning Dai, Hao Wang, Kim-Kwang Raymond Choo:
Blockchain-based Privacy Preservation for 5G-enabled Drone Communications. - Karen B. Schloss, Zachary Leggon, Laurent Lessard:
Semantic Discriminability for Visual Communication. - Yang Liu, Zhenyue Qin, Saeed Anwar, Sabrina B. Caldwell, Tom Gedeon:
Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable. - Yating Lin, Kamkwai Wong, Yong Wang, Rong Zhang, Bo Dong, Huamin Qu, Qinghua Zheng:
TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Group. - Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki:
Learning Unbiased Representations via Rényi Minimization. - Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster:
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage. - Ali Hürriyetoglu, Ali Safaya, Nelleke Oostdijk, Osman Mutlu, Erdem Yörük:
COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules. - Bastian Kaspschak, Ulf-G. Meißner:
A Neural Network Perturbation Theory Based on the Born Series. - Azlan Iqbal:
An Algorithm for Automatically Updating a Forsyth-Edwards Notation String Without an Array Board Representation. - Shuaiqiang Liu, Lech A. Grzelak, Cornelis W. Oosterlee:
The Seven-League Scheme: Deep learning for large time step Monte Carlo simulations of stochastic differential equations. - Carsten Carstensen, Sharat Gaddam, Neela Nataraj, Amiya Kumar Pani, Devika Shylaja:
Morley Finite Element Method for the von Kármán Obstacle Problem. - James A. Grant, David S. Leslie:
Learning to Rank under Multinomial Logit Choice. - Benjamin A. Carreras, Pere Colet, José Miguel Reynolds-Barredo, Damià Gomila:
Resilience and performance of the power grid with high penetration of renewable energy sources: the Balearic Islands as a case study. - K. K. Thyagharajan, G. Kalaiarasi:
A Review on Near Duplicate Detection of Images using Computer Vision Techniques. - Michalis K. Titsias, Sotirios Nikoloutsopoulos, Alexandre Galashov:
Information Theoretic Meta Learning with Gaussian Processes. - Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, Devi Parikh:
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents. - Patrick Reipschläger, Tamara Flemisch, Raimund Dachselt:
Personal Augmented Reality for Information Visualization on Large Interactive Displays. - Rolf Drechsler:
PolyAdd: Polynomial Formal Verification of Adder Circuits. - Andreea Buterchi, Andrei Arusoaie:
DApp for Rating. - Will Usher, Valerio Pascucci:
Interactive Visualization of Terascale Data in the Browser: Fact or Fiction? - Carl Martin Rosenberg, Leon Moonen:
Improving Problem Identification via Automated Log Clustering using Dimensionality Reduction. - Akhil Sai Peddireddy:
Personalized Review Ranking for Improving Shopper's Decision Making: A Term Frequency based Approach. - Rongzheng Bian, Yumeng Xue, Liang Zhou, Jian Zhang, Baoquan Chen, Daniel Weiskopf, Yunhai Wang:
Implicit Multidimensional Projection of Local Subspaces. - Tarun Kathuria:
A Potential Reduction Inspired Algorithm for Exact Max Flow in Almost O͠(m4/3) Time. - Teng Liu, Xingyu Mu, Bing Huang, Yi Xie, Dongpu Cao:
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles. - Amgad Ahmed, Suhong Kim, Mohamed A. Elgharib, Mohamed Hefeeda:
User-assisted Video Reflection Removal. - L. Aneesh Euprazia, K. K. Thyagharajan:
A novel action recognition system for smart monitoring of elderly people using Action Pattern Image and Series CNN with transfer learning. - Elisa Negrini, Giovanna Citti, Luca Capogna:
System Identification Through Lipschitz Regularized Deep Neural Networks. - Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang:
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. - Kamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker:
Improved Modeling of 3D Shapes with Multi-view Depth Maps. - Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt:
Measuring Massive Multitask Language Understanding. - Jack Weast:
Sensors, Safety Models and A System-Level Approach to Safe and Scalable Automated Vehicles. - Purit Phan-Udom, Naruedon Wattanakul, Tattiya Sakulniwat, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Morakot Choetkiertikul, Raula Gaikovina Kula:
Teddy: Automatic Recommendation of Pythonic Idiom Usage For Pull-Based Software Projects. - Fabian Kovacs, Max Thonagel, Marion Ludwig, Alexander Albrecht, Hannes Priehn, Manuel Hegner, Dirk Enders, Lennart Hickstein, Maximilian von Knobloch, Anne Rothhardt, Jochen Walker:
Conquery: an open source application to analyze high content healthcare data. - Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin:
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment. - Jin Cao, Dewei Zhong:
A Fast Randomized Algorithm for Finding the Maximal Common Subsequences. - Jin Cao, Yibo Zhao, Linjun Zhang, Jason Li:
A Lightweight Algorithm to Uncover Deep Relationships in Data Tables. - Mengjiao Han, Ingo Wald, Will Usher, Nate Morrical, Aaron Knoll, Valerio Pascucci, Chris R. Johnson:
A Virtual Frame Buffer Abstraction for Parallel Rendering of Large Tiled Display Walls. - Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin:
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. - Shuchismita Biswas, Manish Kumar Singh, Virgilio Centeno:
Chance-Constrained Optimal Distribution Network Partitioning to Enhance Grid Resilience. - Tom Horak, Philip Berger, Heidrun Schumann, Raimund Dachselt, Christian Tominski:
Responsive Matrix Cells: A Focus+Context Approach for Exploring and Editing Multivariate Graphs. - Alexander Yoshizumi, Megan M. Coffer, Elyssa L. Collins, Mollie D. Gaines, Xiaojie Gao, Kate Jones, Ian R. McGregor, Katie A. McQuillan, Vinicius Perin, Laura M. Tomkins, Thom Worm, Laura Tateosian:
A Review of Geospatial Content in IEEE Visualization Publications. - Stanislas Polu, Ilya Sutskever:
Generative Language Modeling for Automated Theorem Proving. - Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo, Alexander F. Gelbukh:
NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier. - Alan M. Frieze, Tomasz Tkocz:
Probabilistic analysis of algorithms for cost constrained minimum weighted combinatorial objects. - Kiran Tomlinson, Austin R. Benson:
Learning Interpretable Feature Context Effects in Discrete Choice. - Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
A Hybrid Neuro-Symbolic Approach for Complex Event Processing. - Gizem Sogancioglu, Oxana Verkholyak, Heysem Kaya, Dmitrii Fedotov, Tobias Cadèe, Albert Ali Salah, Alexey Karpov:
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition. - Jerry R. Van Aken:
A Fast Parametric Ellipse Algorithm. - Jan Glaubitz:
Stable High-Order Cubature Formulas for Experimental Data. - Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev:
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. - Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. - Jianfeng Gao, Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Heung-Yeung Shum:
Robust Conversational AI with Grounded Text Generation. - Sanjay Seshan:
Horus: Using Sensor Fusion to Combine Infrastructure and On-board Sensing to Improve Autonomous Vehicle Safety. - Mark Karpenko, Julie K. Halverson, Rebecca Besser:
Waypoint Following Dynamics of a Quaternion Error Feedback Attitude Control System. - Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling:
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark. - Javad Bagherzadeh, Vishishtha Bothra, Disha Gujar, Sugandha Gupta, Jinal Shah:
Quad-Core RSA Processor with Countermeasure Against Power Analysis Attacks. - Yoonsang Lee:
lp regularization for ensemble Kalman inversion. - Mehul Rastogi, Sen Lu, Abhronil Sengupta:
On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs. - Yuanhao Gong:
A Residual Solver and Its Unfolding Neural Network for Total Variation Regularized Models. - Eitetsu Ken, Kenji Tojo, Kazuki Watanabe, Masaki Natori:
On principal types and well-foundedness of terms in ECC. - Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng:
Adversarial Attack on Large Scale Graph. - Yupeng Ren, Yulong Xing, Jianxian Qiu:
High order finite difference Hermite WENO fast sweeping methods for static Hamilton-Jacobi equations. - Lin Zhou, Yun Wei, Alfred O. Hero III:
Second-Order Asymptotically Optimal Universal Outlying Sequence Detection with Reject Option. - Yucong Lin, Keming Lu, Yulin Chen, Chuan Hong, Sheng Yu:
High-throughput relation extraction algorithm development associating knowledge articles and electronic health records. - Shengjie Liu, Qian Shi, Liangpei Zhang:
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning. - Yunsheng Shi, Zhengjie Huang, Wenjin Wang, Hui Zhong, Shikun Feng, Yu Sun:
Masked Label Prediction: Unified Massage Passing Model for Semi-Supervised Classification. - Boyi Liu, Bingjie Yan, Yize Zhou, Jun Wang, Li Liu, Yuhan Zhang, Xiaolan Nie:
A Real-time Contribution Measurement Method for Participants in Federated Learning. - Bangti Jin, Zhi Zhou:
An Inverse Potential Problem for Subdiffusion: Stability and Reconstruction. - A. K. M. Mubashwir Alam, Sagar Sharma, Keke Chen:
SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications. - Sajjadur Rahman, Peter Griggs, Çagatay Demiralp:
Leam: An Interactive System for In-situ Visual Text Analysis. - Dinshaw S. Balsara, Roger Käppeli, Walter Boscheri, Michael Dumbser:
Curl constraint-preserving reconstruction and the guidance it gives for mimetic scheme design. - L. Balaji, K. K. Thyagharajan, Chandrasekaran Raja, A. Dhanalakshmi:
An optimal mode selection algorithm for scalable video coding. - Yuanyu Wan, Lijun Zhang:
Approximate Multiplication of Sparse Matrices with Limited Space. - Li Chen, Fan Liu, Jun Liu, Christos Masouros:
Composite Signalling for DFRC: Dedicated Probing Signal or Not? - Eunho Koo, Hyungjun Kim:
Empirical Strategy for Stretching Probability Distribution in Neural-network-based Regression. - Wei Wang, Wei Zhang:
Joint Beam Training and Positioning For Intelligent Reflecting Surfaces Assisted Millimeter Wave Communications. - Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition. - Zhiyu Xue, Lixin Duan, Wen Li, Lin Chen, Jiebo Luo:
Region Comparison Network for Interpretable Few-shot Image Classification. - (Withdrawn) Fractional Reduced Differential Transform Method for Belousov-Zhabotinsky reaction model.
- Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro:
Toward Robustness and Privacy in Federated Learning: Experimenting with Local and Central Differential Privacy. - Hoang-Dung Bui, Hai Nguyen, Hung Manh La, Shuai Li:
A Deep Learning-Based Autonomous RobotManipulator for Sorting Application. - Manuel Camargo, Marlon Dumas, Oscar González Rojas:
Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning. - Jiexin Wu, Cunlai Pu, Shuxin Ding:
NC-MOPSO: A network centrality guided multi-objective particle swarm optimization for transport optimization on networks. - Laurence Denneulin, Nelly Pustelnik, Maud Langlois, Ignace Loris, Éric Thiébaut:
Primal-dual splitting scheme with backtracking for handling with epigraphic constraint and sparse analysis regularization. - Wei Chen, Dan Wang, Ji Liu, Yongxin Chen, Sei Zhen Khong, Tamer Basar, Karl Henrik Johansson, Li Qiu:
On Spectral Properties of Signed Laplacians with Connections to Eventual Positivity. - Kumar Ankit, Lima Agnel Tony, Shuvrangshu Jana, Debasish Ghose:
Multi-Agent Collaboration for Building Construction. - Junya Nakamura, Masahiro Shibata, Yuichi Sudo, Yonghwan Kim:
Self-Stabilizing Construction of a Minimal Weakly ST-Reachable Directed Acyclic Graph. - Zebin Yang, Aijun Zhang:
Hyperparameter Optimization via Sequential Uniform Designs. - Sara Sadat Aghamiri, Franck Delaplace:
TaBooN - Boolean Network Synthesis Based on Tabu Search. - Minxian Xu, Chengxi Gao, Shashikant Ilager, Huaming Wu, Chengzhong Xu, Rajkumar Buyya:
Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions. - Hu Zhang, Peng Yang, Yanglong Yu, Mingjia Li, Ke Tang:
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search. - Cindarella Petz, Raji Ghawi, Jürgen Pfeffer:
A Longitudinal Analysis of a Social Network of Intellectual History. - Jerry Anunrojwong, Yiling Chen, Bo Waggoner, Haifeng Xu:
Computing Equilibria of Prediction Markets via Persuasion. - Supatsara Wattanakriengkrai, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Hideaki Hata, Kenichi Matsumoto:
Predicting Defective Lines Using a Model-Agnostic Technique. - Francisco Javier Baldan, José Manuel Benítez:
Multivariable times series classification through an interpretable representation. - Gillian Bolsover:
Black Lives Matter discourse on US social media during COVID: polarised positions enacted in a new event. - Otto van der Himst, Pablo Lanillos:
Deep Active Inference for Partially Observable MDPs. - Klaus-Dieter Schewe, Yamine Aït Ameur, Sarah Benyagoub:
Realisability of Control-State Choreographies. - Chris Dongjoo Kim, Jinseo Jeong, Gunhee Kim:
Imbalanced Continual Learning with Partitioning Reservoir Sampling. - Cong Chen, Yinfeng Xu:
The curse of rationality in sequential scheduling games. - Hamidreza Bagheri, Md. Noor-A-Rahim, Zilong Liu, Haeyoung Lee, Dirk Pesch, Klaus Moessner, Pei Xiao:
5G NR-V2X: Towards Connected and Cooperative Autonomous Driving. - Souhila Silmi, Zouina Doukha, Rebiha Kemcha, Samira Moussaoui:
Wireless sensor networks simulators and testbeds. - Mohammad Sadegh Sadeghi Garmaroodi, Faezeh Farivar, Mohammad Sayad Haghighi, Mahdi Aliyari Shoorehdeli, Alireza Jolfaei:
Detection of Anomalies and Faults in Industrial IoT Systems by Data Mining: Study of CHRIST Osmotron Water Purification System. - Maxime Caniot, Vincent Bonnet, Maxime Busy, Thierry Labaye, Michel Besombes, Sébastien Courtois, Edouard Lagrue:
Adapted Pepper. - Sasho Nedelkoski, Mihail Bogojeski, Odej Kao:
Learning more expressive joint distributions in multimodal variational methods. - Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev:
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting. - Lyes Khacef, Vincent Gripon, Benoît Miramond:
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning. - Konstantinos Gavriil, Ruslan Guseinov, Jesús Pérez, Davide Pellis, Paul Henderson, Florian Rist, Helmut Pottmann, Bernd Bickel:
Computational Design of Cold Bent Glass Façades. - Javeria Habib, Shuo Zhang, Krisztian Balog:
IAI MovieBot: A Conversational Movie Recommender System. - Sabah Al-Fedaghi:
Computer Program Decomposition and Dynamic/Behavioral Modeling. - Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Bin Hu, Xinwang Liu:
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification. - Jiaxiang Liu, Xuyi Chen, Shikun Feng, Shuohuan Wang, Xuan Ouyang, Yu Sun, Zhengjie Huang, Weiyue Su:
kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification. - Lavinia Egidi, Felipe A. Louza, Giovanni Manzini:
Space efficient merging of de Bruijn graphs and Wheeler graphs. - Hugo Villamizar, Marcos Kalinowski, Alessandro Garcia, Daniel Méndez Fernández:
An Efficient Approach for Reviewing Security-Related Aspects in Agile Requirements Specifications of Web Applications. - Alexander B. Veretennikov:
Proximity full-text searches of frequently occurring words with a response time guarantee. - Maxime De Bois, Hamdi Amroun, Mehdi Ammi:
Energy Expenditure Estimation Through Daily Activity Recognition Using a Smart-phone. - Maxime Tremblay, Shirsendu Sukanta Halder, Raoul de Charette, Jean-François Lalonde:
Rain rendering for evaluating and improving robustness to bad weather. - Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, Yota Otachi:
Finding Diverse Trees, Paths, and More. - Martin Genzel, Maximilian März, Robert Seidel:
Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery (iTWIST'20). - Samuel Louvan, Bernardo Magnini:
Simple is Better! Lightweight Data Augmentation for Low Resource Slot Filling and Intent Classification. - Giuseppe Placidi, Luigi Cinque, Matteo Polsinelli:
Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals. - Anisa Halimi, Erman Ayday:
Efficient Quantification of Profile Matching Risk in Social Networks. - Kamil Zywanowski, Adam Banaszczyk, Michal R. Nowicki:
Comparison of camera-based and 3D LiDAR-based loop closures across weather conditions. - Zhengjie Huang, Shikun Feng, Weiyue Su, Xuyi Chen, Shuohuan Wang, Jiaxiang Liu, Xuan Ouyang, Yu Sun:
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model. - Varshini Subhash, Karran Pandey, Vijay Natarajan:
GPU Parallel Computation of Morse-Smale Complexes. - Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior. - Amir Mirzaeinia, Mehdi Mirzaeinia, Abdelmounaam Rezgui:
Latency and Throughput Optimization in Modern Networks: A Comprehensive Survey. - Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Hierarchical Message-Passing Graph Neural Networks. - Hai-xia Peng, Xuemin Shen:
DDPG-based Resource Management for MEC/UAV-Assisted Vehicular Networks. - Takumi Ishiyama, Takuya Suzuki, Hayato Yamana:
Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption. - Gabriel Resende Machado, Eugênio Silva, Ronaldo Ribeiro Goldschmidt:
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective. - Patrick Stiller, Friedrich Bethke, Maximilian Böhme, Richard Pausch, Sunna Torge, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann:
Large-scale Neural Solvers for Partial Differential Equations. - Maxime De Bois, Mounim A. El-Yacoubi, Mehdi Ammi:
Enhancing the Interpretability of Deep Models in Heathcare Through Attention: Application to Glucose Forecasting for Diabetic People. - Junhong Xu, Kai Yin, Lantao Liu:
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. - Matteo Varvello, Benjamin Livshits:
On the Battery Consumption of Mobile Browsers. - Caitlyn A. K. Singam:
Trade-off analysis of disruption-tolerant networking protocols. - Fuqiang Gu, Milad Ramezani, Kourosh Khoshelham, Xiaoping Zheng, Ruiqin Zhou, Jianga Shang:
Fast and Reliable WiFi Fingerprint Collection for Indoor Localization. - Elham Kalantari, Halim Yanikomeroglu, Abbas Yongaçoglu:
Wireless Networks with Cache-Enabled and Backhaul-Limited Aerial Base Stations. - Jatin Sharma, Vishwanath Sinha:
Development of Adaptive Frame Reservation Scheme and Naive Persistent State Co-Located Coexistence Controller. - Abdallah Moubayed, Tanveer Ahmed, Anwar Haque, Abdallah Shami:
Machine Learning Towards Enabling Spectrum-as-a-Service Dynamic Sharing. - Chi Zhang, Jianhang Wang, Massoud Rezavand, Dong Wu, Xiangyu Hu:
An integrative smoothed particle hydrodynamics framework for modeling cardiac function. - Mohammad Khorrami, Jaber Rezaei Mianroodi, Pratheek Shanthraj, Bob Svendsen:
Development and comparison of spectral algorithms for numerical modeling of the quasi-static mechanical behavior of inhomogeneous materials. - Wenceslao Shaw-Cortez, Dimos V. Dimarogonas:
Safe-by-Design Control for Euler-Lagrange Systems. - Lanfranco Zanzi, Vincenzo Sciancalepore, Andres Garcia-Saavedra, Hans D. Schotten, Xavier Costa-Pérez:
LACO: A Latency-Driven Network Slicing Orchestration in Beyond-5G Networks. - Yuya Sasaki, Yoshiharu Ishikawa, Yasuhiro Fujiwara, Makoto Onizuka:
Sequenced Route Query with Semantic Hierarchy. - Simson L. Garfinkel, Philip Leclerc:
Randomness Concerns When Deploying Differential Privacy. - Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt:
Automatic Yara Rule Generation Using Biclustering. - Sara Hahner, Rodrigo Iza-Teran, Jochen Garcke:
Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders. - Aitazaz Ali Raja, Sergio Grammatico:
Payoff distribution in robust coalitional games on time-varying networks. - Wenchao Li, Yun Wang, Haidong Zhang, Huamin Qu:
Improving Engagement of Animated Visualization with Visual Foreshadowing. - Brandon Wagstaff, Jonathan Kelly:
Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation. - Yihan Zhang, Sidharth Jaggi, Amitalok J. Budkuley:
Tight List-Sizes for Oblivious AVCs under Constraints. - Amirhoshang Hoseinpour Dehkordi, Majid Alizadeh, Ali Movaghar:
Linear Temporal Public Announcement Logic: a new perspective for reasoning the knowledge of multi-classifiers. - Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Peter Bell, Andreas K. Maier, Vincent Christlein:
Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors. - Stratis Limnios, Christophe Paul, Joanny Perret, Dimitrios M. Thilikos:
Edge Degeneracy: Algorithmic and Structural Results. - Qing Ye, Yuxuan Han, Yanan Sun, Jiancheng Lv:
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks. - Peiying Zhang, Chenhui Li, Changbo Wang:
VisCode: Embedding Information in Visualization Images using Encoder-Decoder Network. - Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Gustavo Adolfo Velasco-Hernández, Daniel Riordan, Joseph Walsh:
Understanding and Exploiting Dependent Variables with Deep Metric Learning. - Pratheek S. Upadhyaya, Vijay K. Shah, Jeffrey H. Reed:
Cross-layer Band Selection and Routing Design for Diverse Band-aware DSA Networks. - Chen Ling, Utkucan Balci, Jeremy Blackburn, Gianluca Stringhini:
A First Look at Zoombombing. - Tian Tian, Yudong Liu, Xiaoyu Yang, Yuefei Lyu, Xi Zhang, Binxing Fang:
QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection. - Tómas Thorbjarnarson, Neil Yorke-Smith:
On Training Neural Networks with Mixed Integer Programming. - Sooyeon Jeong, Sharifa Alghowinem, Laura Aymerich-Franch, Kika Arias, Àgata Lapedriza, Rosalind W. Picard, Hae Won Park, Cynthia Breazeal:
A Robotic Positive Psychology Coach to Improve College Students' Wellbeing. - Joon Kwon:
Refined approachability algorithms and application to regret minimization with global costs. - Mohammed Sharafath Abdul Hameed, Andreas Schwung:
Reinforcement Learning on Job Shop Scheduling Problems Using Graph Networks. - Soham Chakraborty:
On Architecture to Architecture Mapping for Concurrency. - Abhilasha Sancheti, Kushal Chawla, Gaurav Verma:
LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets. - Rijad Alisic, Marco Molinari, Philip E. Paré, Henrik Sandberg:
Maximizing Privacy in MIMO Cyber-Physical Systems Using the Chapman-Robbins Bound. - Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. - Greg Benton, Ghazal Fazelnia, Alice Wang, Ben Carterette:
Trajectory Based Podcast Recommendation. - Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey:
TanhSoft - a family of activation functions combining Tanh and Softplus. - Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou:
RL1-GP: Safe Simultaneous Learning and Control. - Carlos Andújar:
Procedural Generation of STEM Quizzes. - Simone Foti, Bongjin Koo, Thomas Dowrick, João Ramalhinho, Moustafa Allam, Brian R. Davidson, Danail Stoyanov, Matthew J. Clarkson:
Intraoperative Liver Surface Completion with Graph Convolutional VAE. - Joshua D. Cardosi, Herman Shen, Jonathan I. Groner, Megan Armstrong, Henry Xiang:
Machine Intelligence for Outcome Predictions of Trauma Patients During Emergency Department Care. - Arthur Castello B. de Oliveira, Milad Siami, Eduardo D. Sontag:
Edge Selection in Bilinear Dynamical Networks. - Albert Gural, Phillip M. Nadeau, Mehul Tikekar, Boris Murmann:
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology. - Yihao Hu, Tong Zhao, Zhiliang Xu, Lizhen Lin:
Neural Time-Dependent Partial Differential Equation. - Justine Zhang, Sendhil Mullainathan, Cristian Danescu-Niculescu-Mizil:
Quantifying the Causal Effects of Conversational Tendencies. - Michael Neunteufel, Astrid Pechstein, Joachim Schöberl:
Three-field mixed finite element methods for nonlinear elasticity. - George K. Sidiropoulos, Chairi Kiourt, Lefteris Moussiades:
Metis: Multi-Agent Based Crisis Simulation System. - Ali C. Kheirabadi, Ryozo Nagamune:
Distributed Economic Model Predictive Control - Addressing Non-convexity Using Social Hierarchies. - Freddy Gabbay, Avi Mendelson:
Asymmetric Aging Effect on Modern Microprocessors. - Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Shervin Minaee:
Covid-Transformer: Detecting COVID-19 Trending Topics on Twitter Using Universal Sentence Encoder. - Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky:
Towards Unique and Informative Captioning of Images. - Yiding Hao, Simon Mendelsohn, Rachel Sterneck, Randi Martinez, Robert Frank:
Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling. - Joseph Gardiner, Awais Rashid:
Technical Report: Gone in 20 Seconds - Overview of a Password Vulnerability in Siemens HMIs. - Everaldo Andrade, Aldri Santos, Paulo Ditarso Maciel Jr., Fernando Matos:
Analyzing Cooperative Monitoring and Dissemination of Critical Mobile Events by VANETs. - Hunter Goforth, Xiaoyan Hu, Michael Happold, Simon Lucey:
Joint Pose and Shape Estimation of Vehicles from LiDAR Data. - René Brandborg Sørensen, Jimmy Jessen Nielsen, Petar Popovski:
Queuing with Deterministic Service Times and No Waiting Lines in Machine Type Communications. - Barnabas Gavin Cangan, Larkin Heintzman, Amanda Hashimoto, Nicole Abaid, Ryan K. Williams:
Anticipatory Human-Robot Path Planning for Search and Rescue. - Maxfield E. Green, Karl WD. Kaiser, Nat Shenton:
Modeling Wildfire Perimeter Evolution using Deep Neural Networks. - Leland Wilkinson, Hengrui Luo:
A Distance-preserving Matrix Sketch. - Narjes Nabipour, Amir Mosavi, Alireza Baghban, Shahaboddin Shamshirband, Imre Felde:
Extreme learning machine-based model for Solubility estimation of hydrocarbon gases in electrolyte solutions. - Arthur Bawin, François Henrotte, Jean-François Remacle:
Automatic feature-preserving size field for 3D mesh generation. - Jianji Wang, Qi Liu, Nanning Zheng:
Conditional Uncorrelation and Efficient Non-approximate Subset Selection in Sparse Regression. - Thorsten Götte, Kristian Hinnenthal, Christian Scheideler, Julian Werthmann:
Time-Optimal Construction of Overlay Networks. - Sai Charan Bodda, Palki Gupta, Gaurav Joshi, Ayush Chaturvedi:
A new architecture for hand-worn Sign language to Speech translator. - Nima Fazeli, Anurag Ajay, Alberto Rodriguez:
Long-Horizon Prediction and Uncertainty Propagation with Residual Point Contact Learners. - Anita Mirijamdotter, Krenare Pireva Nuci, Michele Gibney, Patrik Elm:
The development and implementation of a PhD Program in ICT for the Kosovo Education System. - Guang-Jing Song, Michael K. Ng, Tai-Xiang Jiang:
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation. - Harrison Williams, Alexander Lind, Kishankumar Parikh, Matthew Hicks:
Silicon Dating. - Toryn L. J. Schafer, Christopher K. Wikle, Mevin B. Hooten:
Bayesian Inverse Reinforcement Learning for Collective Animal Movement. - Zadia Codabux, Christopher Dutchyn:
Profiling Developers Through the Lens of Technical Debt. - Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov:
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. - Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea:
Quantifying the Effects of COVID-19 on Mental Health Support Forums. - Qurrat-Ul-Ain Nadeem, Anas Chaaban, Mérouane Debbah:
Opportunistic Beamforming using an Intelligent Reflecting Surface Without Instantaneous CSI. - Wanrong Zhang, Olga Ohrimenko, Rachel Cummings:
Attribute Privacy: Framework and Mechanisms. - George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff:
Brown University at TREC Deep Learning 2019. - Teruaki Hayashi, Nao Uehara, Daisuke Hase, Yukio Ohsawa:
Data Requests and Scenarios for Data Design of Unobserved Events in Corona-related Confusion Using TEEDA. - Julián Del Gobbo, Rosana Matuk Herrera:
Unconstrained Text Detection in Manga: a New Dataset and Baseline. - Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao:
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training. - Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs:
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification. - Keren Zhou, Xiaozhu Meng, Ryuichi Sai, John M. Mellor-Crummey:
GPA: A GPU Performance Advisor Based on Instruction Sampling. - Mahmoud Khalafalla, Mahmoud A. Elmohr, Catherine H. Gebotys:
Going Deep: Using deep learning techniques with simplified mathematical models against XOR BR and TBR PUFs (Attacks and Countermeasures). - Numair Khan, Min H. Kim, James Tompkin:
View-consistent 4D Light Field Depth Estimation. - Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo, Yujin Jo, Kyogu Lee:
Exploiting Multi-Modal Features From Pre-trained Networks for Alzheimer's Dementia Recognition. - Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis:
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. - Omid Bazgir, Souparno Ghosh, Ranadip Pal:
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. - Chase J. Gaudet, Anthony S. Maida:
Generalizing Complex/Hyper-complex Convolutions to Vector Map Convolutions. - Christopher Liu, Laura Dominé, Kevin Chavez, Richard Socher:
Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages. - Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do:
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. - Mayank Chhipa, Hrushikesh Mahesh Vazurkar, Abhijeet Kumar, Mridul Mishra:
Comparative Study of Language Models on Cross-Domain Data with Model Agnostic Explainability. - Yili Qian, Domitilla Del Vecchio:
Robustness of networked systems to unintended interactions with application to engineered genetic circuits. - Zheng Wang, Satoshi Suga, Edric John Cruz Nacpil, Zhanhong Yan, Kimihiko Nakano:
Adaptive driver-automation shared steering control via forearm surface electromyography measurement. - Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu:
Rule-Guided Graph Neural Networks for Recommender Systems. - Punit Rathore, Ali Zonoozi, Omid Geramifard, Kian-Lee Tan:
Understanding the Dynamics of Drivers' Locations for Passengers Pickup Performance: A Case Study. - Asim Khan, Umair Nawaz, Anwaar Ulhaq, Randall W. Robinson:
Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens. - Zhiyi Huang, Qiankun Zhang, Yuhao Zhang:
Adwords in a Panorama. - Adina Deiner, Christoph Frädrich, Gordon Fraser, Sophia Geserer, Niklas Zantner:
Search-based Testing for Scratch Programs. - Seonguk Park, KiYoon Yoo, Nojun Kwak:
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective. - Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun:
FleXOR: Trainable Fractional Quantization. - Linyi Li, Xiangyu Qi, Tao Xie, Bo Li:
SoK: Certified Robustness for Deep Neural Networks. - Lingyun Qiu:
Analysis of Seismic Inversion with Optimal Transportation and Softplus Encoding. - Zilong Liu, Lie-Liang Yang:
Sparse or Dense: A Comparative Study of Code-Domain NOMA Systems. - Mengli Cheng, Minghui Qiu, Xing Shi, Jun Huang, Wei Lin:
One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction. - Saiful Islam Salim, Adnan Quaium, Sriram Chellappan, A. B. M. Alim Al Islam:
Enhancing Fidelity of Quantum Cryptography using Maximally Entangled Qubits. - Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy:
On Perfect Obfuscation: Local Information Geometry Analysis. - Sam Cunliffe, Ilya Komarov, Thomas Kuhr, Martin Ritter, Francesco Tenchini:
User documentation and training at Belle II. - Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho:
Diversified Mutual Learning for Deep Metric Learning. - Abdelaali Chaoub, Marco Giordani, Brejesh Lall, Vimal Bhatia, Adrian Kliks, Luciano Leonel Mendes, Khaled M. Rabie, Harri Saarnisaari, Amit Singhal, Nan Zhang, Sudhir Dixit:
6G for Bridging the Digital Divide: Wireless Connectivity to Remote Areas. - Ke Zhang, Yukun Su, Xiwang Guo, Liang Qi, Zhenbing Zhao:
MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism. - Lars J. Svensson, Monimoy Bujarbaruah, Arpit Karsolia, Christian Berger, Martin Törngren:
Traction Adaptive Motion Planning at the Limits of Handling. - Jiawei Liu, Xierong Zhu, Zheng-Jun Zha:
Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification. - Pawel W. Wozniak, Lex Dekker, Francisco Kiss, Ella Velner, Andrea Kuijt, Stella F. Donker:
Brotate and Tribike: Designing Smartphone Control for Cycling. - (Withdrawn) QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning.
- Muhammad Ashad Kabir, Sowmen Rahman, Mohammad Mainul Islam, Sayed Ahmed, Craig Laird:
Mobile Apps for Foot Measurement: A Scoping Review. - Philipp H. Kindt, Swaminathan Narayanaswamy, Marco Saur, Samarjit Chakraborty:
Optimizing BLE-Like Neighbor Discovery. - Ankur Sinha, Tanmay Khandait:
Impact of News on the Commodity Market: Dataset and Results. - Haoyi Niu, Jianming Hu:
Tactical Decision Making for Emergency Vehicles based on a Combinational Learning Method. - Christian Schlehuber, Markus Heinrich, Tsvetoslava Vateva-Gurova, Stefan Katzenbeisser, Neeraj Suri:
A Security Architecture for Railway Signalling. - Laurent Bako:
Analysis of the least sum-of-minimums estimator for switched systems. - Ruben Contreras, Angel Ayala, Francisco Cruz:
Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition. - Alfonso Alcántara, Jesús Capitán, Rita Cunha, Aníbal Ollero:
Optimal Trajectory Planning for Cinematography with Multiple Unmanned Aerial Vehicles. - Ivan Ezhov, Tudor Mot, Suprosanna Shit, Jana Lipková, Johannes C. Paetzold, Florian Kofler, Fernando Navarro, Marie Metz, Benedikt Wiestler, Björn H. Menze:
Real-time Bayesian personalization via a learnable brain tumor growth model. - Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo:
Binarized Neural Architecture Search for Efficient Object Recognition. - Feilong Zhang:
Performance Analysis of Model-Free Adaptive Control. - Nasimeh Heydaribeni, Achilleas Anastasopoulos:
Structured Equilibria for Dynamic Games with Asymmetric Information and Dependent Types. - Keqiang Li, Jiawei Wang, Yang Zheng:
Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning. - Flavio Ferrarotti, Senén González, Klaus-Dieter Schewe, José Maria Turull Torres:
Completeness in Polylogarithmic Time and Space. - Thilo Krachenfels, Fatemeh Ganji, Amir Moradi, Shahin Tajik, Jean-Pierre Seifert:
Real-World Snapshots vs. Theory: Questioning the t-Probing Security Model. - Sandro Braun, Patrick Esser, Björn Ommer:
Unsupervised Part Discovery by Unsupervised Disentanglement. - Laurent Petit, Jean-Baptiste Dore, Eric Mercier, Claude Brocheton, Julien Legrand, Dimitri Ktenas:
Aggregated Massive Modular Paradigm: A 6G Telecom Infrastructure Vision. - Andrey Krekhov:
How to Improve Your Virtual Experience - Exploring the Obstacles of Mainstream VR. - Carlo Meijer, Veelasha Moonsamy, Jos Wetzels:
Where's Crypto?: Automated Identification and Classification of Proprietary Cryptographic Primitives in Binary Code. - Victor M. Martinez Alvarez, Rares Rosca, Cristian G. Falcutescu:
DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control. - Marc-Andre Simard, Jason Priem, Heather A. Piwowar:
How much does an interlibrary loan request cost? A review of the literature. - Mhd Yamen Haddad, Angelos-Christos G. Anadiotis, Yamen Mhd, Ioana Manolescu:
Graph-based keyword search in heterogeneous data sources. - Hung Tuan Nguyen, Tsubasa Nakamura, Cuong Tuan Nguyen, Masaki Nakagawa:
Online trajectory recovery from offline handwritten Japanese kanji characters. - Marc-Andre Simard, Jason Priem, Heather A. Piwowar:
The aftermath of Big Deal cancellations and their impact on interlibrary loans. - Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio:
Proxy Network for Few Shot Learning. - Xingchen Li, Changlu Li, Yun Wang, Mengqi Lei:
An Infrared Communication System based on Handstand Pendulum. - Marco Livesu, Gianmarco Cherchi, Riccardo Scateni, Marco Attene:
Deterministic Linear Time Constrained Triangulation using Simplified Earcut. - Max Christl:
Vision-Based Autonomous Drone Control using Supervised Learning in Simulation. - Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer:
HSFM-Σnn: Combining a Feedforward Motion Prediction Network and Covariance Prediction. - Nathan Tsoi, Mohamed Hussein, Jeacy Espinoza, Xavier Ruiz, Marynel Vázquez:
SEAN: Social Environment for Autonomous Navigation. - Alisson Yury, Everaldo Andrade, Michele Nogueira, Aldri Santos, Fernando Matos:
Social-based Cooperation of Vehicles for Data Dissemination of Critical Urban Events. - Iain Barclay, Maria Freytsis, Sherri L. Bucher, Swapna Krishnakumar Radha, Alun D. Preece, Ian J. Taylor:
Towards a Modelling Framework for Self-Sovereign Identity Systems. - Gabriele Farina, Tuomas Sandholm:
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond. - Mikhail Kamenev:
On Decoding of Reed-Muller Codes Using Local Graph Search. - Michele Campobasso, Luca Allodi:
Impersonation-as-a-Service: Characterizing the Emerging Criminal Infrastructure for User Impersonation at Scale. - Eliseu M. Oliveira, Rafael F. Reale, Joberto S. B. Martins:
A Methodological Approach to Model CBR-based Systems. - Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games. - Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull, Andrea Censi:
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. - Andre da Silva Abade, Paulo Afonso Ferreira, Flavio de Barros Vidal:
Plant Diseases recognition on images using Convolutional Neural Networks: A Systematic Review. - Kaan Gökcesu, Hakan Gökcesu:
A Generalized Online Algorithm for Translation and Scale Invariant Prediction with Expert Advice. - Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik:
Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess. - Mark Collier, Efi Kokiopoulou, Andrea Gesmundo, Jesse Berent:
Routing Networks with Co-training for Continual Learning. - Rui Gao:
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality. - Mukund Telukunta, Venkata Sriram Siddhardh Nadendla:
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion. - Dayeol Lee, Dmitrii Kuvaiskii, Anjo Vahldiek-Oberwagner, Mona Vij:
Privacy-Preserving Machine Learning in Untrusted Clouds Made Simple. - Yuanxiang Ying, Juanyong Duan, Chunlei Wang, Yujing Wang, Congrui Huang, Bixiong Xu:
Automated Model Selection for Time-Series Anomaly Detection. - Gergely Máté Kiss, Jan Kaska, Roberto André Henrique de Oliveira, Olena Rubanenko, Balázs Tóth:
Performance Analysis of FEM Solvers on Practical Electromagnetic Problems. - Bin Zhang, Chunlei Liang:
A Conservative High-Order Method Utilizing Dynamic Transfinite Mortar Elements for Flow Simulation on Curved Sliding Meshes. - Devang Jhabakh Jai, Sudeep Das:
Learning Slab Classes to Alleviate Memory Holes in Memcached. - Gilles Vandewiele, Bram Steenwinckel, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae:
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs. - Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang:
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions. - Karl Cobbe, Jacob Hilton, Oleg Klimov, John Schulman:
Phasic Policy Gradient. - Sebastian Florez, Julien Fausty, Karen Alvarado, Brayan Murgas, Marc Bernacki:
A novel highly efficient Lagrangian model for massively multidomain simulations: parallel context. - Chryssis Georgiou, Marios Mavronicolas, Burkhard Monien:
(In)Existence of Equilibria for 2-Players, 2-Values Games with Concave Valuations. - Pablo Messina, Manuel Cartagena, Patricio Cerda, Felipe del-Rio, Denis Parra:
CuratorNet: Visually-aware Recommendation of Art Images. - Jun Liu, Yiming Meng, Yinan Li, Maxwell Fitzsimmons:
Smooth Converse Lyapunov-Barrier Theorems for Asymptotic Stability with Safety Constraints and Reach-Avoid-Stay Specifications. - Joseph Gil, Ori Roth:
Ties between Parametrically Polymorphic Type Systems and Finite Control Automata. - Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm. - Ruiyuan Lin, Zhiruo Zhou, Suya You, Raghuveer Rao, C.-C. Jay Kuo:
From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design. - Travis J. Wiltshire, Dan Hudson, Philia Lijdsman, Stijn Wever, Martin Atzmueller:
Social Analytics of Team Interaction using Dynamic Complexity Heat Maps and Network Visualizations. - Wenning Zhang, Ryohei Hisano, Takaaki Ohnishi, Takayuki Mizuno:
Nondiagonal Mixture of Dirichlet Network Distributions for Analyzing a Stock Ownership Network. - Jie Bu, M. Maruf, Arka Daw:
Beyond Observed Connections : Link Injection. - Xiangde Luo, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang:
Semi-supervised Medical Image Segmentation through Dual-task Consistency. - Lingyao Zhang, Po-Hsun Su, Jerrick Hoang, Galen Clark Haynes, Micol Marchetti-Bowick:
Map-Adaptive Goal-Based Trajectory Prediction. - Fajilatun Nahar, Kat Agres, Balamurali B. T., Dorien Herremans:
A dataset and classification model for Malay, Hindi, Tamil and Chinese music. - Saurabh Chakravarty, Satvik Chekuri, Maanav Mehrotra, Edward A. Fox:
Aspect Classification for Legal Depositions. - Brian Keith, Tanushree Mitra:
Narrative Maps: An Algorithmic Approach to Represent and Extract Information Narratives. - Rowan Border, Jonathan D. Gammell:
Proactive Estimation of Occlusions and Scene Coverage for Planning Next Best Views in an Unstructured Representation. - Thomas Fel, David Vigouroux:
Representativity and Consistency Measures for Deep Neural Network Explanations. - Caiqing Jian, Xinyu Cheng, Jian Zhang, Lihui Wang:
Scalar Coupling Constant Prediction Using Graph Embedding Local Attention Encoder. - Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi:
Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN. - Enrui Zhang, Minglang Yin, George Em Karniadakis:
Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging. - Shruti Phadke, Mattia Samory, Tanushree Mitra:
What Makes People Join Conspiracy Communities?: Role of Social Factors in Conspiracy Engagement. - Thomas Winters, Luc De Raedt:
Discovering Textual Structures: Generative Grammar Induction using Template Trees. - Mohammad Abuzar Shaikh, Tiehang Duan, Mihir Chauhan, Sargur N. Srihari:
Attention based Writer Independent Handwriting Verification. - Swetha Mandava, Szymon Migacz, Alex Fit-Florea:
Pay Attention when Required. - Sebastian Meznar, Nada Lavrac, Blaz Skrlj:
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations. - Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia:
Task-agnostic Indexes for Deep Learning-based Queries over Unstructured Data. - Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang:
Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow. - Levi D. McClenny, Ulisses M. Braga-Neto:
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism. - Pablo G. Morato, Konstantinos G. Papakonstantinou, Charalampos P. Andriotis, J. S. Nielsen, Philippe Rigo:
Optimal Inspection and Maintenance Planning for Deteriorating Structures through Dynamic Bayesian Networks and Markov Decision Processes. - Scott Heidbrink, Kathryn N. Rodhouse, Daniel M. Dunlavy:
Multimodal Deep Learning for Flaw Detection in Software Programs. - Nicolas Fraiman, Zichao Li:
Biclustering with Alternating K-Means. - Youguang Chen, William Ruys, George Biros:
KNN-DBSCAN: a DBSCAN in high dimensions. - Venkatesan Guruswami, Jonathan Mosheiff, Nicolas Resch, Shashwat Silas, Mary Wootters:
Sharp threshold rates for random codes. - Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos:
RoIFusion: 3D Object Detection from LiDAR and Vision. - Yuichi Yoshida, Samson Zhou:
Sensitivity Analysis of the Maximum Matching Problem. - Yan Wang, Xuelei Sherry Ni:
Developing and Improving Risk Models using Machine-learning Based Algorithms. - Aakash Sharma, Saravanan Dhakshinamurthy, George Kesidis, Chita R. Das:
CASH: A Credit Aware Scheduling for Public Cloud Platforms. - Nikolaos I. Miridakis, Theodoros A. Tsiftsis, Guanghua Yang:
Generalized Energy Detection Under Generalized Noise Channels. - Fedor V. Fomin, Petr A. Golovach, Lars Jaffke, Geevarghese Philip, Danil Sagunov:
Diverse Pairs of Matchings. - Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller:
Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation. - Søren Taverniers, Eric Joseph Hall, Markos A. Katsoulakis, Daniel M. Tartakovsky:
Mutual Information for Explainable Deep Learning of Multiscale Systems. - N. Sofia Guzman E., Claudio A. Cañizares, Kankar Bhattacharya, Daniel Sohm:
Frequency Regulation Model of Bulk Power Systems with Energy Storage. - Youguang Chen, George Biros:
An efficient method for modeling flow in porous media with immersed faults. - Mohammad Sadegh Talebi, Anders Jonsson, Odalric-Ambrym Maillard:
Improved Exploration in Factored Average-Reward MDPs. - Richard Sailer, Jörg Hähner:
An Adaptive Flow-Aware Packet Scheduling Algorithm for Multipath Tunnelling. - Jatin Sharma, Nikhilesh Behera, Priya Venkatraman, Boon Thau Loo:
RapidLearn: A General Purpose Toolkit for Autonomic Networking. - Aadesh Neupane:
A brief history on Homomorphic learning: A privacy-focused approach to machine learning. - Marco Montali, Andrey Rivkin, Daniel Ritter:
Formalizing Integration Patterns with Multimedia Data (Extended Version). - Raquel Vidaurre, Igor Santesteban, Elena Garces, Dan Casas:
Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On. - Siddharth Mayya, David Saldaña, Vijay Kumar:
Resilient Task Allocation in Heterogeneous Multi-Robot Systems. - Manie Tadayon, Greg Pottie:
tsBNgen: A Python Library to Generate Time Series Data from an Arbitrary Dynamic Bayesian Network Structure. - Qiankun Zhong, Seth Frey:
Institutional Similarity Drives Cultural Similarity among Online Communities. - Yunsong Wang, Charlene Yang, Steven Farrell, Yan Zhang, Thorsten Kurth, Samuel Williams:
Time-Based Roofline for Deep Learning Performance Analysis. - Kirti Bhanushali, Chinmay Tembe, W. Rhett Davis:
Development of a Predictive Process Design kit for15-nm FinFETs: FreePDK15. - Botong Qu, Lawrence Roy, Yue Zhang, Eugene Zhang:
Mode Surfaces of Symmetric Tensor Fields: Topological Analysis and Seamless Extraction. - Mamdouh L. Alghaythi, Robert M. O'Connell, Naz E. Islam, Josep M. Guerrero:
A Non-Isolated High Step-Up Interleaved DC-DC Converter with Diode-Capacitor Multiplier Cells and Dual Coupled Inductors. - Runzhe Wan, Xinyu Zhang, Rui Song:
Multi-Objective Reinforcement Learning for Infectious Disease Control with Application to COVID-19 Spread. - Xikui Wang, Michael J. Carey, Vassilis J. Tsotras:
Subscribing to Big Data at Scale. - Karan Vombatkere, Hanjia Lyu, Jiebo Luo:
How Political is the Spread of COVID-19 in the United States? An Analysis using Transportation and Weather Data. - Kun Fang, Xiaolin Huang, Fanghui Liu, Jie Yang:
End-to-end Kernel Learning via Generative Random Fourier Features. - Sarah E. Finch, James D. Finch, Ali Ahmadvand, Jason Ingyu Choi, Xiangjue Dong, Ruixiang Qi, Harshita Sahijwani, Sergey Volokhin, Zihan Wang, Zihao Wang, Jinho D. Choi:
Emora: An Inquisitive Social Chatbot Who Cares For You. - Ryuichi Sai, John M. Mellor-Crummey, Xiaozhu Meng, Mauricio Araya-Polo, Jie Meng:
Accelerating High-Order Stencils on GPUs. - Gokul Subramanian Ravi, Ramon Bertran, Pradip Bose, Mikko H. Lipasti:
MicroGrad: A Centralized Framework for Workload Cloning and Stress Testing. - W. Z. Wang, R. Q. Wang, G. H. Chen:
Path planning model of mobile robots in the context of crowds. - Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework. - Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, Alireza Bab-Hadiashar:
Long Range Stereo Matching by Learning Depth and Disparity. - Jack Henderson, Mohammad Zamani, Robert E. Mahony, Jochen Trumpf:
A Minimum Energy Filter for Localisation of an Unmanned Aerial Vehicle. - Dmitrij Sitenko, Bastian Boll, Christoph Schnörr:
Assignment Flow for Order-Constrained OCT Segmentation. - Satyam Mohla, Sidharth Mohla, Anupam Guha, Biplab Banerjee:
Multimodal Noisy Segmentation based fragmented burn scars identification in Amazon Rainforest. - Bikramjit Singh, Majid Gerami:
Configured Grant for Semi-Deterministic Traffic for Ultra-Reliable and Low Latency Communications. - Jonathan S. Li, Rohan Potru, Farhad Shahrokhi:
A performance study of some approximation algorithms for minimum dominating set in a graph. - Zijie Wang, Rongke Liu, Qirui Liu, Lincong Han:
Towards Reliable UAV-Enabled Positioning in Mountainous Environments: System Design and Preliminary Results. - Lu Liu, Zhenqiao Song, Xiaoqing Zheng:
Improving Coreference Resolution by Leveraging Entity-Centric Features with Graph Neural Networks and Second-order Inference. - Lauren Boswell, Arjun Prakash:
On the Fairness of 'Fake' Data in Legal AI. - Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, Chao Dong:
Enhanced Quadratic Video Interpolation. - Hoyeon Ahn:
Non-contact Real time Eye Gaze Mapping System Based on Deep Convolutional Neural Network. - Weiyao Lin, Xiaoyi He, Wenrui Dai, John See, Tushar Shankar Shinde, Hongkai Xiong, Lingyu Duan:
Key-Point Sequence Lossless Compression for Intelligent Video Analysis. - Mauricio Arango, Lyudmil Pelov:
COVID-19 Pandemic Cyclic Lockdown Optimization Using Reinforcement Learning. - Zehui Chen, Qiaofei Li, Feng Zhao:
Towards Fine-grained Large Object Segmentation 1st Place Solution to 3D AI Challenge 2020 - Instance Segmentation Track. - Chiao Hsieh, Hussein Sibai, Hebron Taylor, Sayan Mitra:
Unmanned air-traffic management (UTM): Formalization, a prototype implementation, and performance evaluation. - Yian Li, Hai Zhao:
Learning Universal Representations from Word to Sentence. - Ryne Roady, Tyler L. Hayes, Christopher Kanan:
Improved Robustness to Open Set Inputs via Tempered Mixup. - Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, Kui Jia:
CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling. - Lily Morse, Mike H. M. Teodorescu, Yazeed Awwad, Gerald C. Kane:
A Framework for Fairer Machine Learning in Organizations. - Hengrui Wang, Yubo Zhang, Mingzhi Chen, Tong Yang:
Spectral Clustering with Smooth Tiny Clusters. - Axel Wismüller, Adora M. DSouza, Anas Z. Abidin:
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data. - Rajarshi Roy Chowdhury, Sandhya Aneja, Nagender Aneja, Pg Emeroylariffion Abas:
Network Traffic Analysis based IoT Device Identification. - Yongzhi Zhang, Xiaobo Qu, Lang Tong:
Optimal Eco-driving Control of Autonomous and Electric Trucks in Adaptation to Highway Topography: Energy Minimization and Battery Life Extension. - Marc Louis Maurice François:
Virtual Image Correlation uncertainty. - Blagoj Mitrevski, Milena Filipovic, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Momentum-based Gradient Methods in Multi-objective Recommender Systems. - Bianka Kovács, Gergely Palla:
Optimisation of the coalescent hyperbolic embedding of complex networks. - Taesun Whang, Dongyub Lee, Dongsuk Oh, Chanhee Lee, Kijong Han, Dong-hun Lee, Saebyeok Lee:
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection. - Arman Alahyari, David Pozo:
Electric End-User Consumer Profit Maximization: An Online Approach. - Mattia Antonino Di Gangi, Marco Gaido, Matteo Negri, Marco Turchi:
On Target Segmentation for Direct Speech Translation. - Alessio Merlo, Antonio Ruggia, Luigi Sciolla, Luca Verderame:
You Shall not Repackage! A Journey into the World of Anti-Repackaging on Android. - Maria Luisa Damiani, Andrea Acquaviva, Fatima Hachem, Matteo Rossini:
Learning Behavioral Representations of Human Mobility. - Liran Shen, Meng Joo Er, Qingbo Yin:
Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem. - Emil Björnson, Luca Sanguinetti:
Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces. - Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang:
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition. - Trieu Hai Nguyen:
Analyze the Effects of Weighting Functions on Cost Function in the Glove Model. - Kostas Kolomvatsos:
A Probabilistic Approach for Data Management in Pervasive Computing Applications. - Alexander V. Korostil, Andrei V. Nikolaev:
Backtracking algorithms for constructing the Hamiltonian decomposition of a 4-regular multigraph. - Tom Bewley, Jonathan Lawry:
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments. - Soha Sadat Mahdi, Nele Nauwelaers, Philip Joris, Giorgos Bouritsas, Shunwang Gong, Sergiy Bokhnyak, Susan Walsh, Mark D. Shriver, Michael M. Bronstein, Peter Claes:
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties. - Wei Zhang, Yi Wu, Zhishuo Zhang, Hu Xiong, Zhiguang Qin:
Multi-Authority Ciphertext-Policy Attribute Based Encryption With Accountability. - Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Henri E. Bal, Rob van Nieuwpoort:
Rocket: Efficient and Scalable All-Pairs Computations on Heterogeneous Platforms. - Ningning Ma, Xiangyu Zhang, Jian Sun:
Activate or Not: Learning Customized Activation. - Nicolas Affolter, Beni Egressy, Damian Pascual, Roger Wattenhofer:
Brain2Word: Decoding Brain Activity for Language Generation. - Radoslaw Michalski, Jaroslaw Jankowski, Piotr Bródka:
Effective Influence Spreading in Temporal Networks with Sequential Seeding. - Jonatan Gines Clavero, Francisco Martín Rico, Francisco J. Rodríguez-Lera, José Miguel Guerrero Hernández, Vicente Matellán Olivera:
Defining Adaptive Proxemic Zones for Activity-aware Navigation. - Akhmedkhan Shabanov, Ilya Krotov, Nikolay Chinaev, Vsevolod Poletaev, Sergei Kozlukov, Igor Pasechnik, Bulat Yakupov, Artsiom Sanakoyeu, Vadim Lebedev, Dmitry Ulyanov:
Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors. - Marcin Szulc, Jakub Lyskawa, Pawel Wawrzynski:
A framework for reinforcement learning with autocorrelated actions. - Denis Selimi, Krenare Pireva Nuci:
The use of Recommender Systems in web technology and an in-depth analysis of Cold State problem. - Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta:
Hard Occlusions in Visual Object Tracking. - Mengdie Zhuang, David Concannon, Ed Manley:
A Framework for Evaluating Dashboards in Healthcare. - Shoudong Han, Piao Huang, Hongwei Wang, En Yu, Donghaisheng Liu, Xiaofeng Pan, Jun Zhao:
MAT: Motion-Aware Multi-Object Tracking. - Kevin Fauvel, Tao Lin, Véronique Masson, Élisa Fromont, Alexandre Termier:
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification. - Isabelle van der Vegt, Maximilian Mozes, Bennett Kleinberg, Paul Gill:
The Grievance Dictionary: Understanding Threatening Language Use. - Marco Karrer, Margarita Chli:
Distributed Variable-Baseline Stereo SLAM from two UAVs. - Alexander Wang, Mengye Ren, Richard S. Zemel:
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings. - Yanlai Chen, Lijie Ji, Akil Narayan, Zhenli Xu:
L1-based reduced over collocation and hyper reduction for steady state and time-dependent nonlinear equations. - Liam Jordon, Philippe Moser:
Pushdown and Lempel-Ziv Depth. - Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand:
Presentation a Trust Walker for rating prediction in Recommender System with Biased Random Walk: Effects of H-index Centrality, Similarity in Items and Friends. - Eytan Singher, Shachar Itzhaky:
Theory Exploration Powered By Deductive Synthesis. - Liam Jordon, Philippe Moser:
A Normal Sequence Compressed by PPM* but not by Lempel-Ziv 78. - Dilshad Surroop, Pascal Combes, Philippe Martin, Pierre Rouchon:
Sensorless rotor position estimation by PWM-induced signal injection. - Gary Chern, Austen Groener, Michael Harner, Tyler Kuhns, Andy Lam, Stephen O'Neill, Mark D. Pritt:
Globally-scalable Automated Target Recognition (GATR). - Austen Groener, Gary Chern, Mark D. Pritt:
A Comparison of Deep Learning Object Detection Models for Satellite Imagery. - Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav:
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. - Khouloud Eledlebi, Dymitr Ruta, Hanno Hildmann, Fabrice Saffre, Yousof Al-Hammadi, Abdel F. Isakovic:
Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi Approach. - Michael Harner, Austen Groener, Mark D. Pritt:
Detecting the Presence of Vehicles and Equipment in SAR Imagery Using Image Texture Features. - Jean-Guy Mailly:
A Note on Rich Incomplete Argumentation Frameworks. - Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang:
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning. - Alexandre Galashov, Jakub Sygnowski, Guillaume Desjardins, Jan Humplik, Leonard Hasenclever, Rae Jeong, Yee Whye Teh, Nicolas Heess:
Importance Weighted Policy Learning and Adaption. - Hung Tuan Nguyen, Cuong Tuan Nguyen, Takeya Ino, Bipin Indurkhya, Masaki Nakagawa:
Text-independent writer identification using convolutional neural network. - Antonis Papasavva, Jeremy Blackburn, Gianluca Stringhini, Savvas Zannettou, Emiliano De Cristofaro:
"Is it a Qoincidence?": A First Step Towards Understanding and Characterizing the QAnon Movement on Voat.co. - Hongbin Chen, Changtao Sheng, Li-Lian Wang:
On explicit form of the FEM stiffness matrix for the integral fractional Laplacian on non-uniform meshes. - Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning. - Mohammad Mahdi Jahanara, Sajin Koroth, Igor Shinkar:
Toward Probabilistic Checking against Non-Signaling Strategies with Constant Locality. - Lisa Schneider, Annika Niemann, Oliver Beuing, Bernhard Preim, Sylvia Saalfeld:
MedMeshCNN - Enabling MeshCNN for Medical Surface Models. - Jingyuan Xia, Shengxi Li, Jun-Jie Huang, Imad M. Jaimoukha, Xinwang Liu:
Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible. - Junxiang Wang, Liang Zhao:
Multi-instance Domain Adaptation for Vaccine Adverse Event Detection. - Jean-Guy Mailly:
Possible Controllability of Control Argumentation Frameworks - Extended Version. - Alexander Vandenbroucke, Tom Schrijvers:
Disjunctive Delimited Control. - Joop van de Heijning, Stephan Leitner, Alexandra Rausch:
On the Effectiveness of Minisum Approval Voting in an Open Strategy Setting: An Agent-Based Approach. - Trond Linjordet, Krisztian Balog:
Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs. - Yogesh Simmhan, Tarun Rambha, Aakash Khochare, Shriram Ramesh, Animesh Baranawal, John Varghese George, Rahul Atul Bhope, Amrita Namtirtha, Amritha Sundararajan, Sharath Suresh Bhargav, Nihar Thakkar, Raj Kiran:
GoCoronaGo: Privacy Respecting Contact Tracing for COVID-19 Management. - Theodoros Tsiligkaridis, Jay Roberts:
Second Order Optimization for Adversarial Robustness and Interpretability. - Taha Atahan Akyildiz, Amro Alabsi Aljundi, Kamer Kaya:
Understanding Coarsening for Embedding Large-Scale Graphs. - Changjian Li, Hao Pan, Adrien Bousseau, Niloy J. Mitra:
Sketch2CAD: Sequential CAD Modeling by Sketching in Context. - Martin Fisch, Ronald Clark:
Orientation Keypoints for 6D Human Pose Estimation. - Alberto Sabater, Luis Montesano, Ana C. Murillo:
Performance of object recognition in wearable videos. - Simon Praetorius, Florian Stenger:
Dune-CurvedSurfaceGrid - A Dune module for surface parametrization. - Raffaele D'Ambrosio, Stefano Di Giovacchino:
Mean-square contractivity of stochastic θ-methods. - Bing Huang, Yonghong Chen, Ross Baldick:
A Configuration Based Pumped Storage Hydro Model in MISO Day-Ahead Market. - Umberto Martínez-Peñas:
Sum-Rank BCH Codes and Cyclic-Skew-Cyclic Codes. - Bingjia Wang, Alec Koppel, Vikram Krishnamurthy:
A Markov Decision Process Approach to Active Meta Learning. - Saumya Banthia, Anantha Sharma:
Classification of descriptions and summary using multiple passes of statistical and natural language toolkits. - Baoquan Zhang, Xutao Li, Yunming Ye, Zhichao Huang, Lisai Zhang:
Prototype Completion with Primitive Knowledge for Few-Shot Learning. - Shaina Raza, Chen Ding:
A survey on news recommender system - Dealing with timeliness, dynamic user interest and content quality, and effects of recommendation on news readers. - Meng-Jiun Chiou, Roger Zimmermann, Jiashi Feng:
RVL-BERT: Visual Relationship Detection with Visual-Linguistic Knowledge from Pre-trained Representations. - Dimas Muñoz-Montesinos:
Modern Methods for Text Generation. - Piero A. Bonatti, Iliana M. Petrova, Luigi Sauro:
Defeasible reasoning in Description Logics: an overview on DLN. - Alan Kuhnle:
Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time. - Junlong Li, Zhuosheng Zhang, Hai Zhao, Xi Zhou, Xiang Zhou:
Task-specific Objectives of Pre-trained Language Models for Dialogue Adaptation. - Joachim Neu, Ertem Nusret Tas, David Tse:
Ebb-and-Flow Protocols: A Resolution of the Availability-Finality Dilemma. - Lei Chen, Qi Qian, Hao Li:
Semi-Anchored Detector for One-Stage Object Detection. - Yu Chen, Sanjeev Khanna, Ansh Nagda:
Near-linear Size Hypergraph Cut Sparsifiers. - Alberto Bailoni, Constantin Pape, Steffen Wolf, Anna Kreshuk, Fred A. Hamprecht:
Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks. - Antonio Gonzáles, Cara Monical, Tony Perkins:
HSolo: Homography from a single affine aware correspondence. - Dadi Bi, Yansha Deng:
Digital Signal Processing for Molecular Communication via Chemical Reactions-based Microfluidic Circuits. - Ekdeep Singh Lubana, Puja Trivedi, Conrad D. Hougen, Robert P. Dick, Alfred O. Hero III:
OrthoReg: Robust Network Pruning Using Orthonormality Regularization. - David Grimsman, Joshua H. Seaton, Jason R. Marden, Philip N. Brown:
The Cost of Denied Observation in Multiagent Submodular Optimization. - Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram:
Multi-modal embeddings using multi-task learning for emotion recognition. - Bin Han:
Analysis and convergence of Hermite subdivision schemes. - Rishabh Bhardwaj, Navonil Majumder, Soujanya Poria:
Investigating Gender Bias in BERT. - Md Motiur Rahman Sagar, Martin Dyrba:
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease. - Oisín Carroll, Joeran Beel:
Finite Group Equivariant Neural Networks for Games. - Timo Homburg, Steffen Staab, Daniel Janke:
GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data - Technical Report. - Yusheng Xiang, Bing Xu, Tianqing Su, Christine Brach, Samuel S. Mao, Marcus Geimer:
5G meets Construction Machines: Towards a Smart working Site. - Vincent Cohen-Addad, Arnold Filtser, Philip N. Klein, Hung Le:
On Light Spanners, Low-treewidth Embeddings and Efficient Traversing in Minor-free Graphs. - David Bau, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou, Antonio Torralba:
Understanding the Role of Individual Units in a Deep Neural Network. - Sergi Blanco-Cuaresma, Alberto Accomazzi, Michael J. Kurtz, Edwin A. Henneken, Carolyn S. Grant, Donna M. Thompson, Roman Chyla, Stephen McDonald, Golnaz Shapurian, Timothy W. Hostetler, Matthew R. Templeton, Kelly E. Lockhart, Kris Bukovi:
Agile methodologies in teams with highly creative and autonomous members. - Steven Kisseleff, Jakob Kneißl, Gerd Kilian, Wolfgang H. Gerstacker:
Efficient Detectors for Telegram Splitting based Transmission in Low Power Wide Area Networks with Bursty Interference. - Lucas Manuelli, Yunzhu Li, Peter R. Florence, Russ Tedrake:
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning. - Piyush Gupta, Nikita Mehrotra, Rahul Purandare:
JCoffee: Using Compiler Feedback to Make Partial Code Snippets Compilable. - Hui Chen, Pengfei Hong, Wei Han, Navonil Majumder, Soujanya Poria:
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks. - Sayera Dhaubhadel, Jamaludin Mohd-Yusof, Kumkum Ganguly, Gopinath Chennupati, Sunil Thulasidasan, Nicolas W. Hengartner, Brent J. Mumphrey, Eric B. Durbin, Jennifer A. Doherty, Mireille Lemieux, Noah Schaefferkoetter, Georgia D. Tourassi, Linda Coyle, Lynne Penberthy, Benjamin McMahon, Tanmoy Bhattacharya:
Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. - Nutta Homdee, John C. Lach:
Actionable Interpretation of Machine Learning Models for Sequential Data: Dementia-related Agitation Use Case. - Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu:
Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways. - Xuehao Wang, Shuai Li, Chenglizhao Chen, Yuming Fang, Aimin Hao, Hong Qin:
Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection. - Sicheng Zhao, Yaxian Li, Xingxu Yao, Weizhi Nie, Pengfei Xu, Jufeng Yang, Kurt Keutzer:
Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space. - Henry Charlesworth, Giovanni Montana:
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning. - Ali Ayub, Alan R. Wagner:
What am I allowed to do here?: Online Learning of Context-Specific Norms by Pepper. - Yuexin Xiang, Wei Ren, Tiantian Li, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo:
Efficiently Constructing Adversarial Examples by Feature Watermarking. - Youshan Zhang:
Bayesian Geodesic Regression on Riemannian Manifolds. - Wenheng Chen, He Wang, Yi Yuan, Tianjia Shao, Kun Zhou:
Dynamic Future Net: Diversified Human Motion Generation. - Xiaojun Hou, Ali Ahmadi Dastjerdi, Niranjan Saikumar, S. Hassan HosseinNia:
Tuning of Constant in gain Lead in phase (CgLp) Reset Controller using higher-order sinusoidal input describing function (HOSIDF). - Sarvesh Soni, Kirk Roberts:
Patient Cohort Retrieval using Transformer Language Models. - Itai Ashlagi, Mark Braverman, Clayton Thomas, Geng Zhao:
Tiered Random Matching Markets: Rank is Proportional to Popularity. - William J. Buchanan, Muhammad Ali Imran, Masood Ur Rehman, Lei Zhang, Qammer H. Abbasi, Christos Chrysoulas, David Haynes, Nikolaos Pitropakis, Pavlos Papadopoulos:
Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing. - Surabhi Datta, Jordan Godfrey-Stovall, Kirk Roberts:
RadLex Normalization in Radiology Reports. - (Withdrawn) Intelligent Ranking for Dynamic Restoration in Next Generation Wireless Networks.
- SeungKee Jeon:
1st Place Solution to Google Landmark Retrieval 2020. - Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, Christoph Studer:
Finite-Alphabet Wiener Filter Precoding for mmWave Massive MU-MIMO Systems. - Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas:
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting. - Negin Golrezaei, Vahideh H. Manshadi, Jon Schneider, Shreyas Sekar:
Learning Product Rankings Robust to Fake Users. - Ali Beikmohammadi, Karim Faez, Ali Motallebi:
SWP-Leaf NET: a novel multistage approach for plant leaf identification based on deep learning. - Gagik Gavalian:
Auto-encoders for Track Reconstruction in Drift Chambers for CLAS12. - Sequoia Ploeg, Hyrum Gunther, Ryan M. Camacho:
Simphony: An open-source photonic integrated circuit simulation framework. - André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek:
Practical Cross-modal Manifold Alignment for Grounded Language. - Sabarish Vadarevu, Vijay Karamcheti:
A new heuristic algorithm for fast k-segmentation. - Zhixuan Xu, Minghui Qian, Xiaowei Huang, Jie Meng:
CasGCN: Predicting future cascade growth based on information diffusion graph. - Hailey James, Otkrist Gupta, Dan Raviv:
OCR Graph Features for Manipulation Detection in Documents. - Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. - Pavel Surynek:
Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering. - Goodarz Mehr, Azim Eskandarian:
Sentinel: An Onboard System for Intelligent Vehicles to Reduce Traffic Delay during Freeway Incidents. - Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu:
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding. - Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu:
Accelerating Real-Time Question Answering via Question Generation. - Jonas Warnke, Abdulaziz Shamsah, Yingke Li, Ye Zhao:
Towards Safe Locomotion Navigation in Partially Observable Environments with Uneven Terrain. - Michal Pietruszka, Lukasz Borchmann, Filip Gralinski:
Sparsifying Transformer Models with Differentiable Representation Pooling. - Khyathi Raghavi Chandu, Piyush Sharma, Soravit Changpinyo, Ashish V. Thapliyal, Radu Soricut:
Weakly Supervised Content Selection for Improved Image Captioning. - Mario Michael Krell, Bilal Wehbe:
A First Step Towards Distribution Invariant Regression Metrics. - Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu:
TRec: Sequential Recommender Based On Latent Item Trend Information. - Mariela Morveli Espinoza, Juan Carlos Nieves, Ayslan Trevizan Possebom, Josep Puyol-Gruart, Cesar Augusto Tacla:
An Argumentation-based Approach for Identifying and Dealing with Incompatibilities among Procedural Goals. - Mark Cartwright, Jason Cramer, Ana Elisa Méndez Méndez, Yu Wang, Ho-Hsiang Wu, Vincent Lostanlen, Magdalena Fuentes, Graham Dove, Charlie Mydlarz, Justin Salamon, Oded Nov, Juan Pablo Bello:
SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context. - V. J. Dowling, V. A. Slipko, Yuriy V. Pershin:
Modeling networks of probabilistic memristors in SPICE. - (Withdrawn) Scenario Forecast of Cross-border Electric Interconnection towards Renewables in South America.
- Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram:
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. - Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta:
CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets. - Qi Zhu, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han, Carl Yang:
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. - Jingchao Liu, Ye Du, Qingjie Liu, Yunhong Wang:
Variance Loss: A Confidence-Based Reweighting Strategy for Coarse Semantic Segmentation. - Shinobu Saito, Yukako Iimura, Emad Aghayi, Thomas D. LaToza:
Can Microtask Programming Work in Industry? - S. Rasoul Etesami:
Consensus under Network Interruption and Effective Resistance Interdiction. - Jinghua Wang, Jianmin Jiang:
Adversarial Learning for Zero-shot Domain Adaptation. - Huisheng Wang, H. Vicky Zhao, Yuejiang Li:
Research on Intelligent Traffic Control Methods at Intersections Based on Game Theory. - Irit Dinur, Yuval Filmus, Prahladh Harsha, Madhur Tulsiani:
Explicit SoS lower bounds from high-dimensional expanders. - Yalin Liu, Hong-Ning Dai, Qubeijian Wang, Muhammad Imran, Nadra Guizani:
Wireless Powering Internet of Things with UAVs: Challenges and Opportunities. - Jihoon Chung, Cheng-hsin Wuu, Hsuan-ru Yang, Yu-Wing Tai, Chi-Keung Tang:
HAA500: Human-Centric Atomic Action Dataset with Curated Videos. - Ji-Yue Wang, Pei Zhang, Wen-Feng Pang, Jie Li:
Extending Label Smoothing Regularization with Self-Knowledge Distillation. - Jinghua Wang, Jianmin Jiang:
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation. - Suresh Krishna, Ravi Krishna:
Accelerating Recommender Systems via Hardware "scale-in". - Junxiu Tang, Lingyun Yu, Tan Tang, Xinhuan Shu, Lu Ying, Yuhua Zhou, Peiran Ren, Yingcai Wu:
Narrative Transitions in Data Videos. - Jinghua Wang, Jianmin Jiang:
An unsupervised deep learning framework via integrated optimization of representation learning and GMM-based modeling. - Jinghua Wang, Adrian Hilton, Jianmin Jiang:
Spectral Analysis Network for Deep Representation Learning and Image Clustering. - Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding:
Optimizing Convolutional Neural Network Architecture via Information Field. - DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi:
Graph Neural Network based Service Function Chaining for Automatic Network Control. - Tianhao Wang, Yuheng Zhang, Ruoxi Jia:
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization. - Shao-Yuan Lo, Vishal M. Patel:
Defending Against Multiple and Unforeseen Adversarial Videos. - David Hall, Ben Talbot, Suman Raj Bista, Haoyang Zhang, Rohan Smith, Feras Dayoub, Niko Sünderhauf:
The Robotic Vision Scene Understanding Challenge. - Jérémy Berthomieu, Mohab Safey El Din:
Guessing Gr{ö}bner Bases of Structured Ideals of Relations of Sequences. - Xinyang Jiang, Fufu Yu, Yifei Gong, Shizhen Zhao, Xiaowei Guo, Feiyue Huang, Wei-Shi Zheng, Xing Sun:
Devil's in the Detail: Graph-based Key-point Alignment and Embedding for Person Re-ID. - Kuo-Liang Chung, De-Wei Hsieh:
Novel and Effective CNN-Based Binarization for Historically Degraded As-built Drawing Maps. - Julian Berberich, Carsten W. Scherer, Frank Allgöwer:
Combining Prior Knowledge and Data for Robust Controller Design. - Saroj Sahoo, Matthew Berger:
Visually Analyzing and Steering Zero Shot Learning. - Yunsong Wang, Charlene Yang, Steven Farrell, Thorsten Kurth, Samuel Williams:
Hierarchical Roofline Performance Analysis for Deep Learning Applications. - Markus Borg:
The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs. - Fayçal Ait Aoudia, Jakob Hoydis:
End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication. - Pascal Nasahl, Robert Schilling, Mario Werner, Stefan Mangard:
HECTOR-V: A Heterogeneous CPU Architecture for a Secure RISC-V Execution Environment. - Yiming Li, Da Sun Handason Tam, Siyue Xie, Xiaxin Liu, Qiufang Ying, Wing Cheong Lau, Dah Ming Chiu, Shou Zhi Chen:
GTEA: Representation Learning for Temporal Interaction Graphs via Edge Aggregation. - Weihua Liu, Xiabi Liu, Xiongbiao Luo, Murong Wang, Guangyuan Zheng, Guanghui Han:
PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans. - Neeraj Baghel, Suresh Chandra Raikwar, Charul Bhatnagar:
Image Conditioned Keyframe-Based Video Summarization Using Object Detection. - Nunzio A. Letizia, Andrea M. Tonello:
Capacity-Approaching Autoencoders for Communications. - Shujaat Khan, Muhammad Usman:
AFP-SRC: Identification of Antifreeze Proteins Using Sparse Representation Classifier. - Pedro Chávez Barrios, Davy Monticolo, Sahbi Sidhom:
Results of multi-agent system and ontology to manage ideas and represent knowledge in a challenge of creativity. - Yushi Cao, David Berend, Palina Tolmach, Moshe Levy, Guy Amit, Asaf Shabtai, Yuval Elovici, Yang Liu:
Fairness Matters - A Data-Driven Framework Towards Fair and High Performing Facial Recognition Systems. - Jianan Li, Jimei Yang, Jianming Zhang, Chang Liu, Christina Wang, Tingfa Xu:
Attribute-conditioned Layout GAN for Automatic Graphic Design. - Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2020 Task 11: Propaganda Detection with Domain-Specific Trained BERT. - Xiang Li, Lingjing Wang, Yi Fang:
Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration. - August Lidfeldt, Daniel Isaksson, Ludwig Hedlund, Simon Åberg, Markus Borg, Erik Larsson:
Enabling Image Recognition on Constrained Devices Using Neural Network Pruning and a CycleGAN. - Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang:
CatGCN: Graph Convolutional Networks with Categorical Node Features. - Lise-Marie Imbert-Gérard:
Amplitude-based Generalized Plane Waves: new Quasi-Trefftz functions for scalar equations in 2D. - Jie Li, Yu Hu:
A Density-Aware PointRCNN for 3D Objection Detection in Point Clouds. - Thom W. Frühwirth:
Repeated Recursion Unfolding for Super-Linear Speedup within Bounds. - Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars:
SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks. - Aditya Lahiri, Narayanan Unny Edakunni:
Accurate and Intuitive Contextual Explanations using Linear Model Trees. - Rihab Fahd Al-Mutawa, Fathy Elbouraey Eassa:
A Smart Home System based on Internet of Things. - Mahdi Taheri, Saeide Sheikhpour, Mohammad Saeed Ansari, Ali Mahani:
DMR-based Technique for Fault Tolerant AES S-box Architecture. - Álvaro Quintanar, Rubén Izquierdo, Ignacio Parra, David Fernández Llorca, Miguel Ángel Sotelo:
The PREVENTION Challenge: How Good Are Humans Predicting Lane Changes? - Andreas Kurth, Wolfgang Rönninger, Thomas Benz, Matheus A. Cavalcante, Fabian Schuiki, Florian Zaruba, Luca Benini:
An Open-Source Platform for High-Performance Non-Coherent On-Chip Communication. - Piotr Bródka, Jaroslaw Jankowski, Radoslaw Michalski:
Sequential seeding in multilayer networks. - Rishabh Baghel, Aditya Kapoor, Pilar Bachiller, Ronit R. Jorvekar, Daniel Rodriguez-Criado, Luis J. Manso:
A Toolkit to Generate Social Navigation Datasets. - Nicolò Colombo, Yang Gao:
Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification. - Cigdem Turan, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting:
Alfie: An Interactive Robot with a Moral Compass. - Gabriel Dahia, Maurício Pamplona Segundo:
Meta Learning for Few-Shot One-class Classification. - Lizhi Xiong, Wenhao Zhou, Zhihua Xia, Qi Gu, Jian Weng:
Efficient Privacy-Preserving Computation Based on Additive Secret Sharing. - Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain. - Yanping Lin, Xiu Ye, Shangyou Zhang:
A mixed finite element method on polytopal mesh. - Tongjia Zheng, Hai Lin:
Distributed Density Filtering for Large-scale Systems using Mean-filed Models. - Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe:
Critical analysis on the reproducibility of visual quality assessment using deep features. - Shanuja Sasi, B. Sundar Rajan:
An Improved Multi-access Coded Caching with Uncoded Placement. - Jianfeng Dong, Xirong Li, Chaoxi Xu, Gang Yang, Xun Wang:
Hybrid Space Learning for Language-based Video Retrieval. - David Adjiashvili, Felix Hommelsheim, Moritz Mühlenthaler, Oliver Schaudt:
Fault-Tolerant Edge-Disjoint Paths - Beyond Uniform Faults. - Bryan Wilie, Karissa Vincentio, Genta Indra Winata, Samuel Cahyawijaya, Xiaohong Li, Zhi Yuan Lim, Sidik Soleman, Rahmad Mahendra, Pascale Fung, Syafri Bahar, Ayu Purwarianti:
IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding. - Hannes Fassold:
Automatic cinematography for 360 video. - Abassin Sourou Fangbemi, Yi Fei Lu, Mao Yuan Xu, Xiao Wu Luo, Alexis Rolland, Chedy Raïssi:
ZooBuilder: 2D and 3D Pose Estimation for Quadrupeds Using Synthetic Data. - Christophe Dony, Maurane Raskinet, François Renaville, Stéphanie Simon, Paul Thirion:
How reliable and useful is Cabell's Blacklist ? A data-driven analysis. - Mohan Krishna Kagita, Navod Thilakarathne, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta:
A Review on Security and Privacy of Internet of Medical Things. - Yasir Nadeem, Awais Ahmed:
Machine Learning and Data Science approach towards trend and predictors analysis of CDC Mortality Data for the USA. - Thomas Steinke:
Multi-Central Differential Privacy. - Miguel Manuel de Villena, Sébastien Mathieu, Eric Vermeulen, Damien Ernst:
Allocation of locally generated electricity in renewable energy communities. - Michael Neuder, Daniel J. Moroz, Rithvik Rao, David C. Parkes:
Defending Against Malicious Reorgs in Tezos Proof-of-Stake. - Shufan Wang, Ningyi Liao, Liyao Xiang, Nanyang Ye, Quanshi Zhang:
Achieving Adversarial Robustness via Sparsity. - Vivi Nastase, Stan Szpakowicz:
Semantic Relations and Deep Learning. - Joonas Lomps, Artjom Lind, Amnir Hadachi:
Evaluation of the Robustness of Visual SLAM Methods in Different Environments. - Steven D. Morad, Roberto Mecca, Rudra P. K. Poudel, Stephan Liwicki, Roberto Cipolla:
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments. - Lei Liu, Wentao Lei, Yongfang Luo, Cheng Feng, Xiang Wan, Li Liu:
Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification. - Ghada El-Khawaga, Mervat Abu-Elkheir, Sherif I. Barakat, Alaa M. Riad, Manfred Reichert:
CONDA-PM - A Systematic Review and Framework for Concept Drift Analysis in Process Mining. - Abhijit Suprem, Joy Arulraj, Calton Pu, João Eduardo Ferreira:
ODIN: Automated Drift Detection and Recovery in Video Analytics. - Yufei Wang, Haoliang Li, Alex C. Kot:
Heterogeneous Domain Generalization via Domain Mixup. - Aysu Ezen-Can:
A Comparison of LSTM and BERT for Small Corpus. - Yasser Otiefy, Ahmed Abdelmalek, Islam El Hosary:
WOLI at SemEval-2020 Task 12: Arabic Offensive Language Identification on Different Twitter Datasets. - Toms Bergmanis, Arturs Stafanovics, Marcis Pinnis:
Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation. - Antonio Emanuele Cinà, Alessandro Torcinovich, Marcello Pelillo:
A Black-box Adversarial Attack for Poisoning Clustering. - Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes, Ioannis Mitliagkas:
Adversarial score matching and improved sampling for image generation. - Ahmed Ben Said, Abdelkarim Erradi, Hussein Aly, Abdelmonem Mohamed:
A deep-learning model for evaluating and predicting the impact of lockdown policies on COVID-19 cases. - Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin:
Towards Interpretable Multi-Task Learning Using Bilevel Programming. - Luca Bortolussi, Giuseppe Maria Gallo, Laura Nenzi:
A kernel function for Signal Temporal Logic formulae. - Timo Freiesleben:
Counterfactual Explanations & Adversarial Examples - Common Grounds, Essential Differences, and Potential Transfers. - Daniel Diethei, Ashley Colley, Matilda Kalving, Tarja Salmela, Jonna Häkkilä, Johannes Schöning:
Medical Selfies: Emotional Impacts and Practical Challenges. - Yichuan Liu, Hailey James, Otkrist Gupta, Dan Raviv:
MRZ code extraction from visa and passport documents using convolutional neural networks. - Samuel F. Potter, Maria K. Cameron:
Jet Marching Methods for Solving the Eikonal Equation. - Johannes Knittel, Andrés Lalama, Steffen Koch, Thomas Ertl:
Visual Neural Decomposition to Explain Multivariate Data Sets. - Yuval Filmus, Guy Kindler, Noam Lifshitz, Dor Minzer:
Hypercontractivity on the symmetric group. - Saurabh Raje, Frédéric Wagner:
Kvik: A task based middleware with composable scheduling policies. - Siyu Huang, Fangbo Qin, Pengfei Xiong, Ning Ding, Yijia He, Xiao Liu:
TP-LSD: Tri-Points Based Line Segment Detector. - Sai Munikoti, Kumarsinh Jhala, Kexing Lai, Balasubramaniam Natarajan:
Analytical Voltage Sensitivity Analysis for Unbalanced Power Distribution System. - Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Péter Karkus, Sébastien Racanière, Lars Buesing, Timothy P. Lillicrap, Nicolas Heess:
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning. - Jonathan Brophy, Daniel Lowd:
TREX: Tree-Ensemble Representer-Point Explanations. - Jonathan Ling, Paul Cautereels:
Fast LDPC GPU Decoder for Cloud RAN. - Lichao Sun, Lingjuan Lyu:
Federated Model Distillation with Noise-Free Differential Privacy. - Aleksei Pupyshev, Ilya Sapranidi, Elshan Dzhafarov, Shamil Khalilov, Ilya Teterin:
Graviton: interchain swaps and wrapped tokens liquidity incentivisation solution. - Peyman Afshani, Pingan Cheng:
2D Fractional Cascading on Axis-aligned Planar Subdivisions. - Carlo Angiuli, Evan Cavallo, Anders Mörtberg, Max Zeuner:
Internalizing Representation Independence with Univalence. - Tong Gao, Qi Huang, Raymond J. Mooney:
Systematic Generalization on gSCAN with Language Conditioned Embedding. - Yehia Abd Alrahman, Víctor A. Braberman, Nicolás D'Ippolito, Nir Piterman, Sebastián Uchitel:
Synthesis of Run-To-Completion Controllers for Discrete Event Systems. - Ancil Crayton, João Fonseca, Kanav Mehra, Michelle Ng, Jared Ross, Marcelo Sandoval-Castañeda, Rachel von Gnechten:
Narratives and Needs: Analyzing Experiences of Cyclone Amphan Using Twitter Discourse. - Erika Patricia Dantas de Oliveira Guazzi, Reginaldo Palazzo Júnior:
Construction of Hyperbolic Signal Sets from the Uniformization of Hyperelliptic Curves. - Muqsit Nawaz, Aditya Gulati, Kunlong Liu, Vishwajeet Agrawal, Prabhanjan Ananth, Trinabh Gupta:
Accelerating 2PC-based ML with Limited Trusted Hardware. - Jonathan Brophy, Daniel Lowd:
DART: Data Addition and Removal Trees. - Erika Alves dos Santos, Silvio Peroni, Marcos Luiz Mucheroni:
Citing and referencing habits in Medicine and Social Sciences journals in 2019. - Ismael Balafrej, Jean Rouat:
P-CRITICAL: A Reservoir Autoregulation Plasticity Rule for Neuromorphic Hardware. - Henry F. J. Tregidgo, Adria Casamitjana, Caitlin Latimer, Mitchell Kilgore, Eleanor D. Robinson, Emily Blackburn, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Christine L. Mac Donald, Dirk Keene, Juan Eugenio Iglesias:
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology. - Lan Zhang, Peng Liu, Yoon-Ho Choi:
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection. - Andrei-Marius Avram, Dumitru-Clementin Cercel, Costin-Gabriel Chiru:
UPB at SemEval-2020 Task 6: Pretrained Language Models for Definition Extraction. - Rui Hu, Yanmin Gong:
Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning. - Chelsea M. Myers, Jiachi Xie, Jichen Zhu:
A Game-Based Approach for Helping Designers Learn Machine Learning Concepts. - Haomin Chen, Shun Miao, Daguang Xu, Gregory D. Hager, Adam P. Harrison:
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies. - Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. - Benjamin Edward Bolling:
Computer-Aided Generation of N-shift RWS. - Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan:
Unit Test Case Generation with Transformers. - Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin:
Learning an Interpretable Graph Structure in Multi-Task Learning. - Josimar E. Chire Saire:
Characterizing Twitter Interaction during COVID-19 pandemic using Complex Networks and Text Mining. - Victor P. DeCaria, Cory D. Hauck, M. Paul Laiu:
Analysis of a new implicit solver for a semiconductor model. - David D. Fan, Rohan Thakker, Tara Bartlett, Meriem Ben Miled, Leon Kim, Evangelos A. Theodorou, Ali-akbar Agha-mohammadi:
Autonomous Hybrid Ground/Aerial Mobility in Unknown Environments. - Alan Cha, Erik Wittern, Guillaume Baudart, James C. Davis, Louis Mandel, Jim Alain Laredo:
A Principled Approach to GraphQL Query Cost Analysis. - Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan:
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. - Klim Zaporojets, Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Solving Math Word Problems by Scoring Equations with Recursive Neural Networks. - Diego Perez Liebana, Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen:
The Design Of "Stratega": A General Strategy Games Framework. - Murad Tukan, Alaa Maalouf, Matan Weksler, Dan Feldman:
Compressed Deep Networks: Goodbye SVD, Hello Robust Low-Rank Approximation. - (Withdrawn) Multimodal Depression Severity Prediction from medical bio-markers using Machine Learning Tools and Technologies.
- Jessica Van Brummelen, Tommy Heng, Viktoriya Tabunshchyk:
Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools. - Wenqi Cui, Baosen Zhang:
Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach. - Matthew Sotoudeh, Aditya V. Thakur:
Abstract Neural Networks. - Anurag Acharya, Kartik Talamadupula, Mark A. Finlayson:
An Atlas of Cultural Commonsense for Machine Reasoning. - Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta:
Spatio-Temporal Functional Neural Networks. - Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan:
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning. - Jason W. Bentley, Daniel Gibney, Gary Hoppenworth, Sumit Kumar Jha:
Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics. - Andrew Adamatzky, Anna Nikolaidou, Antoni Gandia, Alessandro Chiolerio, Mohammad Mahdi Dehshibi:
Reactive fungal wearable. - Nicky Bayat, Vahid Reza Khazaie, Yalda Mohsenzadeh:
Inverse mapping of face GANs. - Jeff Heaton:
Applications of Deep Neural Networks. - Turfa Auliarachman, Ayu Purwarianti:
Coreference Resolution System for Indonesian Text with Mention Pair Method and Singleton Exclusion using Convolutional Neural Network. - Jingan Yang, Yang Peng:
To Root Artificial Intelligence Deeply in Basic Science for a New Generation of AI. - Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou:
Intertwining Order Preserving Encryption and Differential Privacy. - Li Yang, Zhezhi He, Yu Cao, Deliang Fan:
A Progressive Sub-Network Searching Framework for Dynamic Inference. - Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek:
Coordinated Container Migration and Base Station Handover in Mobile Edge Computing. - Xiyang Liu, Yixi Xu, Sumit Mukherjee, Juan Lavista Ferres:
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models. - Vivek Mittal:
AttnGrounder: Talking to Cars with Attention. - Venkatesan Guruswami, Andrii Riazanov:
Linear Shannon Capacity of Cayley Graphs. - Devin Hoesen, Ayu Purwarianti:
Investigating Bi-LSTM and CRF with POS Tag Embedding for Indonesian Named Entity Tagger. - Pratik Vernekar, Zhongkui Wang, Andrea Serrani, Kevin M. Passino:
Feedback Control Methods for a Single Machine Infinite Bus System. - Niluthpol Chowdhury Mithun, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar:
RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization. - Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang:
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. - Ramos Janoah Hasudungan, Ayu Purwarianti:
Relation Detection for Indonesian Language using Deep Neural Network - Support Vector Machine. - Haruki Nishimura, Boris Ivanovic, Adrien Gaidon, Marco Pavone, Mac Schwager:
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction. - Philips Kokoh Prasetyo, Palakorn Achananuparp, Ee-Peng Lim:
Foodbot: A Goal-Oriented Just-in-Time Healthy Eating Interventions Chatbot. - Mohan Krishna Kagita, Navod Thilakarathne, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Saurabh Singh:
A Review on Cyber Crimes on the Internet of Things. - Ilham Firdausi Putra, Ayu Purwarianti:
Improving Indonesian Text Classification Using Multilingual Language Model. - Nalin Asanka Gamagedara Arachchilage, Mumtaz Abdul Hameed:
Designing a Serious Game: Teaching Developers to Embed Privacy into Software Systems. - Navod Neranjan Thilakarathne, Mohan Krishna Kagita, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta:
The Adoption of ICT Powered Healthcare Technologies towards Managing Global Pandemics. - (Withdrawn) Recent advances in Blockchain Technology: A survey on Applications and Challenges.
- Ayu Purwarianti, Ida Ayu Putu Ari Crisdayanti:
Improving Bi-LSTM Performance for Indonesian Sentiment Analysis Using Paragraph Vector. - Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri:
Short-Term and Long-Term Context Aggregation Network for Video Inpainting. - Yunlong Zhang, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Generator Versus Segmentor: Pseudo-healthy Synthesis. - Anupama Hegde, Andreas Festag:
Artery-C - An OMNeT++ Based Discrete Event Simulation Framework for Cellular V2X. - Shreeshiv Patel, Dvijesh Bhatt:
Abstractive Information Extraction from Scanned Invoices (AIESI) using End-to-end Sequential Approach. - Sai Munikoti, Balasubramaniam Natarajan, Kumarsinh Jhala, Kexing Lai:
Probabilistic Voltage Sensitivity Analysis (PVSA) to Quantify Impact of High PV Penetration on Unbalanced Distribution System. - Martianus Frederic Ezerman:
Quantum Error-Control Codes. - Romain Guillaume, Adam Kasperski, Pawel Zielinski:
Robust production planning with budgeted cumulative demand uncertainty. - Zuchao Li, Hai Zhao, Shexia He, Jiaxun Cai:
Syntax Role for Neural Semantic Role Labeling. - Tim J. A. de Jong, Stefano Bromuri, Xi Chang, Marc Debusschere, Natalie Rosenski, Clara Schartner, Katharina Strauch, Marion Boehmer, R. Lyana Curier:
Monitoring Spatial Sustainable Development: semi-automated analysis of Satellite and Aerial Images for Energy Transition and Sustainability Indicators. - Chaojie Ji, Hongwei Chen, Ruxin Wang, Yunpeng Cai, Hongyan Wu:
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering. - Mulham Fawakherji, Ciro Potena, Alberto Pretto, Domenico Daniele Bloisi, Daniele Nardi:
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming. - Ilgiz Murzakhanov, Spyros Chatzivasileiadis:
Decentralized Model-free Loss Minimization in Distribution Grids with the Use of Inverters. - Jinpeng Wang, Yuting Gao, Ke Li, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun:
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion. - Yuan Gao, Hai-Peng Ren, Jie Li:
Grid-Forming Converters control based on DC voltage feedback. - Jesper Haahr Christensen, Marco Jacobi, Martin Clemmensen Rotne, Morten Soede Nielsen, Max Abildgaard, Claus Eriksen, Lars Valdemar Mogensen:
SeaShark: Towards a Modular Multi-Purpose Man-Portable AUV. - Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu:
Communication-efficient Decentralized Machine Learning over Heterogeneous Networks. - Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Xing Sun:
Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning. - Christian Antic:
Finite Horn Monoids and Near-Semirings. - Walter Hussak, Amitabh Trehan:
Terminating cases of flooding. - Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. - S. D. Lalitha, K. K. Thyagharajan:
Micro-Facial Expression Recognition Based on Deep-Rooted Learning Algorithm. - Li Zhang, Qing Lyu, Chris Callison-Burch:
Intent Detection with WikiHow. - Yandrapati Prakash Babu, Eswari Rajagopal:
CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models. - Natarajan Deepa, Mohammad Zubair Khan, Prabadevi B, P. M. Durai Raj Vincent, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu:
Multiclass Model for Agriculture development using Multivariate Statistical method. - Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu:
DualLip: A System for Joint Lip Reading and Generation. - Haoqing Wang, Zhi-Hong Deng:
Few-shot Learning with LSSVM Base Learner and Transductive Modules. - Petar Radanliev, David De Roure, Robert Walton, Max Van Kleek, Rafael Mantilla Montalvo, Omar Santos, La Treall Maddox, Stacy Cannady:
COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalised medicine. - Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla:
A CNN Based Approach for the Near-Field Photometric Stereo Problem. - Petar Radanliev, David De Roure, Robert Walton:
Data mining and analysis of scientific research data records on Covid 19 mortality, immunity, and vaccine development in the first wave of the Covid 19 pandemic. - Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He:
FuxiCTR: An Open Benchmark for Click-Through Rate Prediction. - John Lim, True Price, Fabian Monrose, Jan-Michael Frahm:
Revisiting the Threat Space for Vision-based Keystroke Inference Attacks. - Subhashree S, P. Sreenivasa Kumar:
A Simple and Efficient Framework for Identifying Relation-gaps in Ontologies. - Damián Marelli, Tianju Sui, Minyue Fu:
Distributed Kalman Estimation with Decoupled Local Filters. - Luc Libralesso, Pablo Andres Focke, Aurélien Secardin, Vincent Jost:
Iterative beam search algorithms for the permutation flowshop. - Philip Koopman, Michael Wagner:
Positive Trust Balance for Self-Driving Car Deployment. - Anik Das, Sumaiya Amin, Muhammad Ashad Kabir, Md. Sabir Hossain, Mohammad Mainul Islam:
FoodCalorie: A Mobile Game to Learn Daily Calorie Intake Standard. - Ragunathan Mariappan, Vaibhav Rajan:
Multi-way Spectral Clustering of Augmented Multi-view Data through Deep Collective Matrix Tri-factorization. - Michael A. Burr, Anton Leykin:
Inflation of poorly conditioned zeros of systems of analytic functions. - Ashutosh Tiwari, Sandeep Varma:
Learning semantic Image attributes using Image recognition and knowledge graph embeddings. - Lukas Kiefer, Stefania Petra, Martin Storath, Andreas Weinmann:
Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography. - Inga Ibs, Nico Potyka:
Explainable Automated Reasoning in Law using Probabilistic Epistemic Argumentation. - Huimin Chen, Zeyu Zhu, Fanchao Qi, Yining Ye, Zhiyuan Liu, Maosong Sun, Jianbin Jin:
Country Image in COVID-19 Pandemic: A Case Study of China. - Tiago Botari, Frederik Hvilshøj, Rafael Izbicki, André C. P. L. F. de Carvalho:
MeLIME: Meaningful Local Explanation for Machine Learning Models. - Andrey Bokovoy, Kirill Muravyev, Konstantin S. Yakovlev:
Map-merging Algorithms for Visual SLAM: Feasibility Study and Empirical Evaluation. - Shivika Narang, Arpita Biswas, Y. Narahari:
On Achieving Fairness and Stability in Many-to-One Matchings. - Alain Couvreur, Matthieu Lequesne:
On the security of subspace subcodes of Reed-Solomon codes for public key encryption. - Andreia Rodrigues, Jose Pedro Silva, João Pedro Dias, Hugo Sereno Ferreira:
Multi-Approach Debugging of Industrial IoT Workflows. - Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie:
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge. - Yi Zhou, Shuyang Sun, Chao Zhang, Yikang Li, Wanli Ouyang:
Exploring the Hierarchy in Relation Labels for Scene Graph Generation. - Alexander Wong, Xiao Yu Wang, Andrew Hryniowski:
How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks. - Haihua Chen, Huyen Nguyen:
Fine-tuning Pre-trained Contextual Embeddings for Citation Content Analysis in Scholarly Publication. - Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan:
A general framework for decentralized optimization with first-order methods. - Amit Surana, Kishore K. Reddy, Matthew Siopis:
Guided Policy Search Based Control of a High Dimensional Advanced Manufacturing Process. - Prabhat Kumar, Matthijs Langelaar:
On topology optimization of design-dependent pressure-loaded 3D structures and compliant mechanisms. - Subhasis Dasgupta, Amarnath Gupta:
Discovering Interesting Subgraphs in Social Media Networks. - Young-Ho Kim, Jarrod Collins, Zhongyu Li, Ponraj Chinnadurai, Ankur Kapoor, C. Huie Lin, Tommaso Mansi:
Towards Automatic Manipulation of Intra-cardiac Echocardiography Catheter. - Sung Kook Kim, Arnaud J. Venet, Aditya V. Thakur:
Memory-Efficient Fixpoint Computation. - Nicholas Capel, Naifu Zhang:
Extended Radial Basis Function Controller for Reinforcement Learning. - Hangyu Zhu, Haoyu Zhang, Yaochu Jin:
From Federated Learning to Federated Neural Architecture Search: A Survey. - Eran Dahan, Yosi Keller:
A Unified Approach to Kinship Verification. - Zhidong Gao, Rui Hu, Yanmin Gong:
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing. - Felipe S. Abrahão, Klaus Wehmuth, Hector Zenil, Artur Ziviani:
An Algorithmic Information Distortion in Multidimensional Networks. - Abolfazl Zargari Khuzani, Najmeh Mashhadi, Morteza Heidari, Donya Khaledyan:
An approach to human iris recognition using quantitative analysis of image features and machine learning. - Gavin Kerrigan, Dylan Slack, Jens Tuyls:
Differentially Private Language Models Benefit from Public Pre-training. - Mariela Luege, Antonio Orlando:
A variational anisotropic phase-field model of quasi-brittle fracture: Energetic solutions and their computation. - Md. Monir Hossain, Tianyu Zhang, Omid Ardakanian:
Identifying Grey-box Thermal Models with Bayesian Neural Networks. - Jaemin Lee, SeungHyeon Bang, Efstathios Bakolas, Luis Sentis:
MPC-Based Hierarchical Task Space Control of Underactuated and Constrained Robots for Execution of Multiple Tasks. - Wanming Hao, Gangcan Sun, Ming Zeng, Zhengyu Zhu, Zheng Chu, Octavia A. Dobre, Pei Xiao:
Robust Design for Intelligent Reflecting Surface Assisted MIMO-OFDMA Terahertz Communications. - Mariela Morveli Espinoza, Ayslan Trevizan Possebom, Cesar Augusto Tacla:
Argumentation-based Agents that Explain their Decisions. - Mariela Morveli Espinoza, Ayslan Trevizan Possebom, Cesar Augusto Tacla:
Resolving Resource Incompatibilities in Intelligent Agents. - James J. Cusick:
Exploring System Resiliency and Supporting Design Methods. - Anderson R. Tavares, Pedro H. C. Avelar, João M. Flach, Márcio Nicolau, Luís C. Lamb, Moshe Y. Vardi:
Understanding Boolean Function Learnability on Deep Neural Networks. - Yushan Zhu, Wen Zhang, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen:
DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning. - Lu Shi, Hanzhe Teng, Xinyue Kan, Konstantinos Karydis:
A Data-driven Hierarchical Control Structure for Systems with Uncertainty. - Hai-Peng Ren, Qi Chen, Liang-Liang Zhang, Jie Li:
Inertia and feedback parameters adaptive control of virtual synchronous generator. - Ziwen Pan, Ivan B. Djordjevic:
Secret key distillation over satellite-to-satellite free-space optics channel with a limited-sized aperture eavesdropper in the same plane of the legitimate receiver. - Jiaqi Zeng, Pengtao Xie:
Contrastive Self-supervised Learning for Graph Classification. - Fernando Kamei, Igor Wiese, Gustavo Pinto, Márcio Ribeiro, Sérgio Soares:
On the Use of Grey Literature: A Survey with the Brazilian Software Engineering Research Community. - Ziwen Pan, Ivan B. Djordjevic:
Secret key distillation over realistic satellite-to-satellite free-space channel: exclusion zone analysis. - Weiwei Wang, Wiebke Eberhardt, Stefano Bromuri:
That looks interesting! Personalizing Communication and Segmentation with Random Forest Node Embeddings. - Disheng Feng, Xuequan Lu, Xufeng Lin:
Deep Detection for Face Manipulation. - K. M. Shahih, Ayu Purwarianti:
Combining Word and Character Vector Representation on Neural Machine Translation. - Mohammad Abdul Hadi, Fatemeh H. Fard, Irene Vrbik:
Geo-Spatial Data Visualization and Critical Metrics Predictions for Canadian Elections. - Benjamin Chase, Petr Lisonek:
Kim-type APN functions are affine equivalent to Gold functions. - Michael J. Lyons, Miyuki Kamachi, Jiro Gyoba:
Coding Facial Expressions with Gabor Wavelets (IVC Special Issue). - Takuma Yoneda, Matthew R. Walter, Jason Naradowsky:
Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman. - Haixia Bi, Jing Yao, Zhiqiang Wei, Danfeng Hong, Jocelyn Chanussot:
PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field. - Guanyao Li, Siyan Hu, Shuhan Zhong, S.-H. Gary Chan:
vContact: Private WiFi-based Contact Tracing with Virus Lifespan. - Hongyue Kang, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Yingying Yao, Zhi Chen:
Stochastic Modeling Approaches for Analyzing Blockchain: A Survey. - Mehdi Foroozandeh, Anders Eklund:
Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE. - Fangke Ye, Jisheng Zhao, Vivek Sarkar:
Advanced Graph-Based Deep Learning for Probabilistic Type Inference. - Hieu X. Le, Phuong D. Nguyen, Thang H. Nguyen, Khanh N. Q. Le, Thanh T. Nguyen:
Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach. - Vahid Jamali, Marzieh Najafi, Robert Schober, H. Vincent Poor:
Power Efficiency, Overhead, and Complexity Tradeoff in IRS-Assisted Communications - Quadratic Phase-Shift Design. - Tongwen Huang, Qingyun She, Junlin Zhang:
BoostingBERT: Integrating Multi-Class Boosting into BERT for NLP Tasks. - Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Vincent Prost:
Semi-supervised dictionary learning with graph regularization and active points. - Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck:
Manifold attack. - Primal Wijesekera, Chamath Keppitiyagama:
COMONet: Community Mobile Network. - Junhui Yin, Jiayan Qiu, Siqing Zhang, Zhanyu Ma, Jun Guo:
SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification. - Long Kong, Yun Ai, Lei Lei, Georges Kaddoum, Symeon Chatzinotas, Björn E. Ottersten:
An Overview of Generic Tools for Information-Theoretic Secrecy Performance Analysis over Wiretap Fading Channels. - Duyen N. T. Le, Hieu X. Le, Lua T. Ngo, Hoan T. Ngo:
Transfer learning with class-weighted and focal loss function for automatic skin cancer classification. - Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu:
Improving Deep Video Compression by Resolution-adaptive Flow Coding. - Wentai Lei, Mengdi Xu, Feifei Hou, Wensi Jiang:
Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition. - Aviv Rosenberg, Yishay Mansour:
Oracle-Efficient Reinforcement Learning in Factored MDPs with Unknown Structure. - Nived Rajaraman, Lin F. Yang, Jiantao Jiao, Kannan Ramchandran:
Toward the Fundamental Limits of Imitation Learning. - Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu:
GIKT: A Graph-based Interaction Model for Knowledge Tracing. - Aritra Mukherjee, Sourya Dipta Das, Jasorsi Ghosh, Ananda S. Chowdhury, Sanjoy Kumar Saha:
Semantic Segmentation of Surface from Lidar Point Cloud. - Qifa Yan, Daniela Tuninetti:
Key Superposition Simultaneously Achieves Security and Privacy in Cache-Aided Linear Function Retrieval. - K. K. Thyagharajan, I. Kiruba Raji:
A Review of Visual Descriptors and Classification Techniques Used in Leaf Species Identification. - Sudipta Paul, Poushali Sengupta, Subhankar Mishra:
FLaPS: Federated Learning and Privately Scaling. - Karel Adámek, Jan Novotný, Jeyarajan Thiyagalingam, Wesley Armour:
Efficiency Near the Edge: Increasing the Energy Efficiency of FFTs on GPUs for Real-time Edge Computing. - Berry Weinstein, Shai Fine, Yacov Hel-Or:
Margin-Based Regularization and Selective Sampling in Deep Neural Networks. - Sunwoo Ha, Adam Kern, Melanie Bancilhon, Alvitta Ottley:
Expectation Versus Reality: The Failed Evaluation of a Mixed-Initiative Visualization System. - Chang Liu, Zhihao Liao, Silvia Ferrari:
Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets. - Jean-Luc Guermond, Matthias Maier, Bojan Popov, Ignacio Tomas:
Second-order invariant domain preserving approximation of the compressible Navier-Stokes equations. - Gurpreet Singh, Soumyajit Gupta, Matthew Lease:
Extracting Optimal Solution Manifolds using Constrained Neural Optimization. - Mohammad Abdul Hadi, Fatemeh H. Fard:
ReviewViz: Assisting Developers Perform Empirical Study on Energy Consumption Related Reviews for Mobile Applications. - Yepeng Ding, Hiroyuki Sato:
Transition-Oriented Programming: Developing Verifiable Systems. - Zishen Wan, Bo Yu, Thomas Yuang Li, Jie Tang, Yuhao Zhu, Yu Wang, Arijit Raychowdhury, Shaoshan Liu:
A Survey of FPGA-Based Robotic Computing. - Marco Virgolin:
Simple Simultaneous Ensemble Learning in Genetic Programming. - Vignesh Raghuraman, Justin P. Koeln:
Set operations and order reductions for constrained zonotopes. - Jonathan Herzig, Jonathan Berant:
Span-based Semantic Parsing for Compositional Generalization. - Shayan Monadjemi, Roman Garnett, Alvitta Ottley:
Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection. - Artur Czumaj, Peter Davies, Merav Parter:
Simple, Deterministic, Constant-Round Coloring in the Congested Clique. - Ahmad Sobhan Abir, Ishtiaq Ahmed Bhuiyan, Mohammad Arani, Md. Mashum Billal:
Multi-Objective Optimization for Sustainable Closed-Loop Supply Chain Network Under Demand Uncertainty: A Genetic Algorithm. - Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. - Xuyang Shen, Jo Plested, Yue Yao, Tom Gedeon:
Pairwise-GAN: Pose-based View Synthesis through Pair-Wise Training. - Megan Ma, Dmitriy Podkopaev, Avalon Campbell-Cousins, Adam Nicholas:
Deconstructing Legal Text_Object Oriented Design in Legal Adjudication. - Sean Ritson, Ahmad Elkhateb:
An Overview of Microinverter Design Characteristics and MPPT Control. - David Brayford, Christoph Bernau, Wolfram Hesse, Carla Guillén:
Analyzing Performance Properties Collected by the PerSyst Scalable HPC Monitoring Tool. - Shayan Shokri, Shane Ward, Pierre-Amaury M. Anton, Paolo Siffredi, Guglielmo Papetti:
Recent Advances in Wearable Sensors with Application in Rehabilitation Motion Analysis. - Pranabendu Misra:
On Fault Tolerant Feedback Vertex Set. - Nivedita Rufus, Unni Krishnan R. Nair, K. Madhava Krishna, Vineet Gandhi:
Cosine meets Softmax: A tough-to-beat baseline for visual grounding. - Amit Saha, Debasri Saha, Amlan Chakrabarti:
Circuit Design for K-coloring Problem and it's Implementation on Near-term Quantum Devices. - Paul-Olivier Dehaye, Joel Reardon:
Proximity Tracing in an Ecosystem of Surveillance Capitalism. - Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Ashutosh Jadhav, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood:
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA. - Yuanyi Zhong, Yuan Zhou, Jian Peng:
Efficient Competitive Self-Play Policy Optimization. - Alessandro Daniele, Luciano Serafini:
Neural Networks Enhancement through Prior Logical Knowledge. - Felicien Ihirwe, Silvia Mazzini, Pierluigi Pierini, Alberto Debiasi, Stefano Tonetta:
Model-based analysis support for dependable complex systems in CHESS. - Amir Abboud, Robert Krauthgamer, Ohad Trabelsi:
Cut-Equivalent Trees are Optimal for Min-Cut Queries. - Nima Karbasizadeh, Ali Ahmadi Dastjerdi, Niranjan Saikumar, S. Hassan HosseinNia:
Band-Passing Nonlinearity in Reset Elements. - Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu:
Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding. - Jay Yu, Kevin McCluskey, Saikat Mukherjee:
Tax Knowledge Graph for a Smarter and More Personalized TurboTax. - S. Cliff Liu, Zhao Song, Hengjie Zhang, Lichen Zhang, Tianyi Zhou:
Space-Efficient Interior Point Method, with applications to Linear Programming and Maximum Weight Bipartite Matching. - Matthew S. Brennan, Guy Bresler, Samuel B. Hopkins, Jerry Li, Tselil Schramm:
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent. - Tongxin Zhou, Yingfei Wang, Lu Lucy Yan, Yong Tan:
Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit Approach. - Gasper Begus:
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication. - Xinran Wang, Yu Xiang, Jun Gao, Jie Ding:
Information Laundering for Model Privacy. - Peipei Xu, Wenjie Ruan, Xiaowei Huang:
Towards the Quantification of Safety Risks in Deep Neural Networks. - Apurva Pandya, Catherine Samuel, Nisargkumar Patel, Vaibhavkumar Patel, Akilan Thangarajah:
Multi-channel MRI Embedding: An EffectiveStrategy for Enhancement of Human Brain Whole Tumor Segmentation. - Jannis Born, Nina Wiedemann, Gabriel Brändle, Charlotte Buhre, Bastian Rieck, Karsten M. Borgwardt:
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis. - Christos H. Papadimitriou, Kiran Vodrahalli, Mihalis Yannakakis:
The Platform Design Problem. - Shaahin Angizi, Navid Khoshavi, Andrew Marshall, Peter Dowben, Deliang Fan:
MERAM: Non-Volatile Cache Memory Based on Magneto-Electric FETs. - Jared Miller, Didier Henrion, Mario Sznaier:
Peak Estimation and Recovery with Occupation Measures. - Xu Zhou, Pengfei Wang, Chenyifan Liu, Tai Yue, Yingying Liu, Congxi Song, Kai Lu, Qidi Yin:
UniFuzz: Optimizing Distributed Fuzzing via Dynamic Centralized Task Scheduling. - Chao Ma, Lei Wu, Weinan E:
A Qualitative Study of the Dynamic Behavior of Adaptive Gradient Algorithms. - Mariela Morveli Espinoza, Cesar Augusto Tacla, Henrique M. R. Jasinski:
An Argumentation-based Approach for Explaining Goal Selection in Intelligent Agents. - Zhong Li, Chao Ma, Lei Wu:
Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms. - Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi:
Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions. - Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. - Weishu Liu:
A matter of time: publication dates in Web of Science Core Collection. - (Withdrawn) Composing Answer from Multi-spans for Reading Comprehension.
- Barun Gorain, Avery Miller, Andrzej Pelc:
Four Shades of Deterministic Leader Election in Anonymous Networks. - Manuel Tiglio, Aarón Villanueva:
On the stability and accuracy of the Empirical Interpolation Method and Gravitational Wave Surrogates. - Laura J. Perovich, Sara Ann Wylie, Roseann Bongiovanni:
Chemicals in the Creek: designing a situated data physicalization of open government data with the community. - Philip Colangelo, Oren Segal, Alexander Speicher, Martin Margala:
AutoML for Multilayer Perceptron and FPGA Co-design. - Dinh Hoa Nguyen, Tatsumi Ishihara:
Distributed Peer-to-Peer Energy Trading for Residential Fuel Cell Combined Heat and Power Systems. - Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, Ming Wu, Zhanyu Ma, Guodong Guo:
GINet: Graph Interaction Network for Scene Parsing. - Yang Wu, Weiwei Yang, Xinrong Guan, Qingqing Wu:
Energy-Efficient Trajectory Design for UAV-Enabled Communication Under Malicious Jamming. - Hengtong Hu, Lingxi Xie, Zewei Du, Richang Hong, Qi Tian:
One-bit Supervision for Image Classification. - Xusen Guo, Jiangfeng Gu, Silu Guo, Zixiao Xu, Chengzhang Yang, Shanghua Liu, Long Cheng, Kai Huang:
3D Object Detection and Tracking Based on Streaming Data. - Henry K. Griffith, Dillon J. Lohr, Evgeniy Abdulin, Oleg Komogortsev:
GazeBase: A Large-Scale, Multi-Stimulus, Longitudinal Eye Movement Dataset. - Nicholas Smith:
The Shooting Regressor; Randomized Gradient-Based Ensembles. - Mahdi Taheri, Khashayar Khorasani, Iman Shames, Nader Meskin:
Undetectable Cyber Attacks on Communication Links in Multi-Agent Cyber-Physical Systems. - Chaoyu Quan, Tao Tang, Jiang Yang:
Numerical Energy Dissipation for Time-Fractional Phase-Field Equations. - Mahdi Taheri, Khashayar Khorasani, Iman Shames, Nader Meskin:
Mitigation and Resiliency of Multi-Agent Systems Subject to Malicious Cyber Attacks on Communication Links. - Yifan Wang, Guoli Yan, Haikuan Zhu, Sagar Buch, Ying Wang, Ewart Mark Haacke, Jing Hua, Zichun Zhong:
VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data. - Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu:
Fairness Constraints in Semi-supervised Learning. - Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song:
A Principled Approach to Data Valuation for Federated Learning. - Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo:
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning. - Takahiro Komamizu:
SPARQL with XQuery-based Filtering. - Mahdi Taheri, Khashayar Khorasani, Iman Shames, Nader Meskin:
Cyber Attack and Machine Induced Fault Detection and Isolation Methodologies for Cyber-Physical Systems. - Bruno Adriano, Naoto Yokoya, Junshi Xia, Hiroyuki Miura, Wen Liu, Masashi Matsuoka, Shunichi Koshimura:
Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping. - Johannes Lederer:
Risk Bounds for Robust Deep Learning. - Yu Guo, Qiyu Jin, Gabriele Facciolo, Tieyong Zeng, Jean-Michel Morel:
Residual Learning for Effective joint Demosaicing-Denoising. - Ningyu Zhang, Luoqiu Li, Shumin Deng, Haiyang Yu, Xu Cheng, Wei Zhang, Huajun Chen:
Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction. - Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen:
Contrastive Triple Extraction with Generative Transformer. - Alessandro Berti, Wil M. P. van der Aalst, David Zang, Magdalena Lang:
An Open-Source Integration of Process Mining Features into the Camunda Workflow Engine: Data Extraction and Challenges. - Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, Laurent El Ghaoui:
Implicit Graph Neural Networks. - Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu:
A Deep Framework for Cross-Domain and Cross-System Recommendations. - Fanglan Zheng, Erihe, Kun Li, Jiang Tian, Xiaojia Xiang:
A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring. - Chunlai Chai, Yukuan Lou, Shijin Zhang:
Cascade Network for Self-Supervised Monocular Depth Estimation. - Chunlai Chai, Yukuan Lou, Shijin Zhang:
Prior Knowledge about Attributes: Learning a More Effective Potential Space for Zero-Shot Recognition. - Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski:
Teaching to Learn: Sequential Teaching of Agents with Inner States. - Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Caiwen Ding, Sanguthevar Rajasekaran:
SAPAG: A Self-Adaptive Privacy Attack From Gradients. - Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection. - Chong Jin Ong, Bonan Hou:
Consensus of Multi-agent System via Constrained Invariant Set of a class of Unstable System. - Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee:
DANCE: Differentiable Accelerator/Network Co-Exploration. - Haichao Gui:
Observer-Based Fault-Tolerant Spacecraft Attitude Tracking Using Sequential Lyapunov Analyses. - Chao Qian, Wenjing Ye:
Accelerating gradient-based topology optimization design with dual-model neural networks. - Boris Ruf, Marcin Detyniecki:
Active Fairness Instead of Unawareness. - Qian Ning, Weisheng Dong, Guangming Shi, Leida Li, Xin Li:
Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network. - Kumiko Tanaka-Ishii, Shuntaro Takahashi:
A Comparison of Two Fluctuation Analyses for Natural Language Clustering Phenomena: Taylor and Ebeling & Neiman Methods. - Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan:
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues. - L. Morillo-Mendez:
Implications of ageing for the design of cognitive interaction systems. - Qi Li, Yihui Da, Yinghong Zhang, Bin Wang, Dianzi Liu, Zhenghua Qian:
A novel combination of theoretical analysis and data-driven method for reconstruction of structural defects. - Tarek Hamel, Minh-Duc Hua, Claude Samson:
Correction to: "Position estimation from direction or range measurements". - Andrew Tzer-Yeu Chen:
How Fragmentation Can Undermine the Public Health Response to COVID-19. - Yuwei Gao, Jindan Xu, Wei Xu, Derrick Wing Kwan Ng, Mohamed-Slim Alouini:
Distributed IRS with Statistical Passive Beamforming for MISO Communications. - Javier Juan-Albarracín:
Unsupervised learning for vascular heterogeneity assessment of glioblastoma based on magnetic resonance imaging: The Hemodynamic Tissue Signature. - Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wenhao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji:
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results. - Murat Kirtay, Guido Schillaci, Verena V. Hafner:
A Multisensory Learning Architecture for Rotation-invariant Object Recognition. - Hassan A. Sial, Ramon Baldrich, María Vanrell:
Deep intrinsic decomposition trained on surreal scenes yet with realistic light effects. - Daitao Huang, Qin Yue, Yongfeng Niu, Xia Li:
MDS or NMDS self-dual codes from twisted generalized Reed-Solomon codes. - Maged AbdelAty, Roberto Doriguzzi Corin, Domenico Siracusa:
DAICS: A Deep Learning Solution for Anomaly Detection in Industrial Control Systems. - Pengqian Yu, Laura Wynter, Shiau Hong Lim:
Fed+: A Family of Fusion Algorithms for Federated Learning. - Qi Tan, Yang Liu, Jiming Liu:
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework. - Ruben Tolosana, Paula Delgado-Santos, Andrés Pérez-Uribe, Rubén Vera-Rodríguez, Julian Fiérrez, Aythami Morales:
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations. - Liang Zhou, Chris R. Johnson, Daniel Weiskopf:
Data-Driven Space-Filling Curves. - Swati Goswami, Asit Kumar Das, Subhas C. Nandy:
Sparsity of weighted networks: measures and applications. - Diego Delle Donne, Matthieu Kowalski, Leo Liberti:
MIP and Set Covering approaches for Sparse Approximation. - Vasileios G. Ntinas, Antonio Rubio, Georgios Ch. Sirakoulis:
Probabilistic Resistive Switching Device modeling based on Markov Jump processes. - Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu, Weizhe Zhang:
Double-Wing Mixture of Experts for Streaming Recommendations. - Jiacheng Ruan, Jiahao Li:
Adaptive Generation Model: A New Ensemble Method. - John Baez, Bob Coecke:
Proceedings Applied Category Theory 2019, ACT 2019, University of Oxford, UK, 15-19 July 2019. EPTCS 323, 2020 [contents] - Jennifer Blanke, Thomas Riechert:
Towards an RDF Knowledge Graph of Scholars from Early Modern History. - Clement Elvira, Jeremy E. Cohen, Cédric Herzet, Rémi Gribonval:
Continuous dictionaries meet low-rank tensor approximations. - Mohan Krishna Kagita, Navod Thilakarathne, Dharmendra Singh Rajput, Surekha Lanka:
A Detail Study of Security and Privacy issues of Internet of Things. - Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer:
Reservoir Memory Machines as Neural Computers. - Selahattin Serdar Helli, Çagkan Demirci, Onur Çoban, Andaç Hamamci:
Short-Term Forecasting COVID-19 Cases In Turkey Using Long Short-Term Memory Network. - Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji, Faycal Bensaali, Abbes Amira:
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations. - Courtney Ford, Eoin M. Kenny, Mark T. Keane:
Play MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier. - Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins:
QED: A Framework and Dataset for Explanations in Question Answering. - Jamie Carr:
Using Graph Convolutional Networks and TD(λ) to play the game of Risk. - Anurag Sarkar, Adam Summerville, Sam Snodgrass, Gerard Bentley, Joseph C. Osborn:
Exploring Level Blending across Platformers via Paths and Affordances. - Ruixiao Sun, Jie Yang, Mehrdad Yousefzadeh:
Improving Language Generation with Sentence Coherence Objective. - Zhexiong Wan, Yuxin Mao, Yuchao Dai:
PRAFlow_RVC: Pyramid Recurrent All-Pairs Field Transforms for Optical Flow Estimation in Robust Vision Challenge 2020. - Madhavi Bangalore Shankara Narayana, Hossameldin Khalifa, Wil M. P. van der Aalst:
JXES: JSON Support for the XES Event Log Standard. - Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan, Lukas von Stumberg, Niclas Zeller, Daniel Cremers:
4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving. - Arianit Mehana, Krenare Pireva Nuci:
Fraud Detection using Data-Driven approach. - Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani:
GeDi: Generative Discriminator Guided Sequence Generation. - Jin Yong Yoo, John X. Morris, Eli Lifland, Yanjun Qi:
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples. - J. Gerard Wolff:
Transparency and granularity in the SP Theory of Intelligence and its realisation in the SP Computer Model. - Noslen Hernández, Aline Duarte:
SeqROCTM: A Matlab toolbox for the analysis of Sequence of Random Objects driven by Context Tree Models. - Thai Quoc Hoang, Phuong Thu Vu:
Not-NUTs at W-NUT 2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English Tweets. - Huale Li, Xuan Wang, Fengwei Jia, Yifan Li, Yulin Wu, Jiajia Zhang, Shuhan Qi:
RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning. - Venktesh V, Pooja B. Bindal, Devesh Singhal, A. V. Subramanyam, Vivek Kumar:
OneStopTuner: An End to End Architecture for JVM Tuning of Spark Applications. - Nickil Maveli:
EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets. - Ifeanyi-Reuben Nkechi J., Chidiebere Ugwu, Tunde Adegbola:
Analysis and representation of Igbo text document for a text-based system. - Mohammed Alsuwaiket, Anas H. Blasi, Khawla Altarawneh:
Refining Student Marks based on Enrolled Modules Assessment Methods using Data Mining Techniques. - Wei Hu, Qihao Zhao, Yangyu Huang, Fan Zhang:
P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions. - Faik Boray Tek, Ilker Çam, Deniz Karli:
Adaptive Convolution Kernel for Artificial Neural Networks. - Nikolaos I. Miridakis, Theodoros A. Tsiftsis, Guanghua Yang:
Moment-based Spectrum Sensing Under Generalized Noise Channels. - Tom Farrand, Fatemehsadat Mireshghallah, Sahib Singh, Andrew Trask:
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy. - Yuxi Huan, Fan Wu, Michail Basios, Leslie Kanthan, Lingbo Li, Baowen Xu:
IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning. - Jack Geary, Henry Gouk:
Resolving Conflict in Decision-Making for Autonomous Driving. - Jordi Vila-Pérez, Matteo Giacomini, Rubén Sevilla, Antonio Huerta:
Hybridisable discontinuous Galerkin formulation of compressible flows. - Reda Marzouk:
On Computability, Learnability and Extractability of Finite State Machines from Recurrent Neural Networks. - Eoin M. Kenny, Mark T. Keane:
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. - Anastasiia O. Vediakova, Alexey A. Vedyakov, Anton A. Pyrkin, Alexey A. Bobtsov, Vladislav Gromov:
Frequency Estimation of Multi-Sinusoidal Signals in Finite-Time. - Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein:
Multi-Hop Fact Checking of Political Claims. - Liesbeth Allein, Isabelle Augenstein, Marie-Francine Moens:
Time-Aware Evidence Ranking for Fact-Checking. - Maxime Escande, Praveen Kumar Kolluru, Louis Marie Cléon, Pierre Sagaut:
Lattice Boltzmann Method for wave propagation in elastic solids with a regular lattice: Theoretical analysis and validation. - Lucar Ribeiro de Azevedo, Philip Cardiff, Francisco J. Galindo-Rosales, Michael Schäfer:
A block-coupled Finite Volume methodology for problems of large strain and large displacement. - Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid:
Beneficial and Harmful Explanatory Machine Learning. - Virginia Niculescu, Adrian Sterca, Darius Bufnea:
Should Decorators Preserve the Component Interface? - Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez:
Synbols: Probing Learning Algorithms with Synthetic Datasets. - RaviShankar Prasad, B. Yegnanarayana:
A study of vowel nasalization using instantaneous spectra. - Rahif Kassab, Osvaldo Simeone:
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent. - Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel:
Completely Self-Supervised Crowd Counting via Distribution Matching. - Aydin Shishegaran, Hessam Varaee, Timon Rabczuk, Gholamreza Shishegaran:
High correlated variables creator machine: Prediction of the compressive strength of concrete. - Hossein Karami, Kourosh Darvish, Fulvio Mastrogiovanni:
A Task Allocation Approach for Human-Robot Collaboration in Product Defects Inspection Scenarios. - Nauman Khalid, Ghalib Ahmed Tahir, Peter Bloodsworth:
Persistent And Scalable JADE: A Cloud based InMemory Multi-agent Framework. - Anna Lukina, Christian Schilling, Thomas A. Henzinger:
Into the unknown: Active monitoring of neural networks. - Ujwal Krothapalli, A. Lynn Abbott:
Adaptive Label Smoothing. - Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Duen Horng Chau, Alex Endert, Daniel A. Keim:
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations. - Shih-Yuan Yu, Arnav V. Malawade, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions. - Rafael Rodrigues da Silva, Vince Kurtz, Hai Lin:
Automatic Trajectory Synthesis for Real-Time Temporal Logic. - Onel L. Alcaraz López, Nurul Huda Mahmood, Hirley Alves, Carlos H. M. de Lima, Matti Latva-aho:
Ultra-low Latency, Low Energy and Massiveness in the 6G Era via Efficient CSIT-limited Schemes. - Rajesh Kumar Mundotiya, Shantanu Kumar, Ajeet Kumar, Umesh Chandra Chaudhary, Supriya Chauhan, Swasti Mishra, Praveen Gatla, Anil Kumar Singh:
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi. - Angus B. Clark, Nicolas Rojas:
Design and Workspace Characterisation of Malleable Robots. - Chaouki Ben Issaid, Anis Elgabli, Jihong Park, Mehdi Bennis:
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM. - Ramesh Raskar, Sai Sri Sathya:
Bluetooth based Proximity, Multi-hop Analysis and Bi-directional Trust: Epidemics and More. - Vahit Bugra Yesilkaynak, Yusuf Huseyin Sahin, Gozde B. Unal:
EfficientSeg: An Efficient Semantic Segmentation Network. - Tobias Ringwald, Rainer Stiefelhagen:
Unsupervised Domain Adaptation by Uncertain Feature Alignment. - Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang:
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition. - Anton Trusov, Elena Limonova, Dmitry Slugin, Dmitry P. Nikolaev, Vladimir V. Arlazarov:
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile Devices. - Sara Hooker:
The Hardware Lottery. - Matthew Cole, Aravind Prakash:
Simplex: Repurposing Intel Memory Protection Extensions for Information Hiding. - Gouri Deshpande, Guenther Ruhe:
Beyond Accuracy: ROI-driven Data Analytics of Empirical Data. - Venkatesh Vijaykumar:
Play Music An HCI Oriented Evaluation of Googles Default Music Player Interface. - Cinantya Paramita, Fauzi Adi Rafrastara, Usman Sudibyo, R. I. W. Agung Wibowo:
Performance Evaluation of Linear Regression Algorithm in Cluster Environment. - Raji Annadi, Yupei Chen, Viresh Ranjan, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai:
A Study of Human Gaze Behavior During Visual Crowd Counting. - Longxiang Liu, Zhuosheng Zhang, Hai Zhao, Xi Zhou, Xiang Zhou:
Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue. - Mehmet Emre Gursoy, Vivekanand Rajasekar, Ling Liu:
Utility-Optimized Synthesis of Differentially Private Location Traces. - Sebastian Weigelt, Vanessa Steurer, Walter F. Tichy:
At your Command! An Empirical Study on How LaypersonsTeach Robots New Functions. - Haider Al Kim, Sven Puchinger, Antonia Wachter-Zeh:
Bounds and Code Constructions for Partially Defect Memory Cells. - Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel:
Justicia: A Stochastic SAT Approach to Formally Verify Fairness. - Kaifang Liu, Dietmar Gallistl, Matthias Schlottbom, Jaap J. W. van der Vegt:
Analysis of a mixed discontinuous Galerkin method for the time-harmonic Maxwell equations with minimal smoothness requirements. - Cody Watson, Nathan Cooper, David Nader-Palacio, Kevin Moran, Denys Poshyvanyk:
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research. - Damla Çay, Till Nagel, Asim Evren Yantaç:
ColVis: Collaborative Visualization Design Workshops for Diverse User Groups. - Samir Karasuljic, Hidajeta Ljevakovic:
On construction of a global numerical solution for a semilinear singularly-perturbed reaction diffusion boundary value problem. - Shashank Kumar, Jeevithashree D. V., Pradipta Biswas:
Accessibility evaluation of websites using WCAG tools and Cambridge Simulator. - Jonas Wulff, Antonio Torralba:
Improving Inversion and Generation Diversity in StyleGAN using a Gaussianized Latent Space. - Ambar Pal, René Vidal:
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses. - Jianyu Yang, Tianhao Wang, Ninghui Li, Xiang Cheng, Sen Su:
Answering Multi-Dimensional Range Queries under Local Differential Privacy. - Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, John Peebles, Eric Price:
Optimal Testing of Discrete Distributions with High Probability. - Fangyi Zhou, Francisco Ferreira, Raymond Hu, Rumyana Neykova, Nobuko Yoshida:
Statically Verified Refinements for Multiparty Protocols. - Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris:
A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching. - Felicidad Aguado, Pedro Cabalar, Martín Diéguez, Gilberto Pérez, Torsten Schaub, Anna Schuhmann, Concepción Vidal:
Temporal Answer Set Programming. - Walid Bendada, Guillaume Salha, Théo Bontempelli:
Carousel Personalization in Music Streaming Apps with Contextual Bandits. - Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu:
Variance-Reduced Off-Policy Memory-Efficient Policy Search. - Imry Kissos, Lior Fritz, Matan Goldman, Omer Meir, Eduard Oks, Mark Kliger:
Beyond Weak Perspective for Monocular 3D Human Pose Estimation. - Qianqian Tong, Guannan Liang, Jinbo Bi:
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data. - Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe:
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. - Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi:
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. - Waleed Mustafa, Robert A. Vandermeulen, Marius Kloft:
Input Hessian Regularization of Neural Networks. - Runze Su, Fei Tao, Xudong Liu, Haoran Wei, Xiaorong Mei, Zhiyao Duan, Lei Yuan, Ji Liu, Yuying Xie:
Themes Inferred Audio-visual Correspondence Learning. - Christoph Neuhauser, Junpeng Wang, Rüdiger Westermann:
Interactive Focus+Context Rendering for Hexahedral Mesh Inspection. - Yi Shi, Yalin E. Sagduyu, Tugba Erpek:
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing. - Yunhao Ge, Sami Abu-El-Haija, Gan Xin, Laurent Itti:
Zero-shot Synthesis with Group-Supervised Learning. - Wenqi Wei, Ling Liu:
Robust Deep Learning Ensemble against Deception. - Adam S. Williams, Francisco R. Ortega:
Understanding Gesture and Speech Multimodal Interactions for Manipulation Tasks in Augmented Reality Using Unconstrained Elicitation. - Matthew Sotoudeh, Aditya V. Thakur:
Analogy-Making as a Core Primitive in the Software Engineering Toolbox. - Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu:
Collaborative Attention Mechanism for Multi-View Action Recognition. - Raghav Awasthi, Keerat Kaur Guliani, Arshita Bhatt, Mehrab Singh Gill, Aditya Nagori, Ponnurangam Kumaraguru, Tavpritesh Sethi:
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning. - Zibo Meng, Runsheng Xu, Chiu Man Ho:
GIA-Net: Global Information Aware Network for Low-light Imaging. - Arghyadip Roy, Sanjay Shakkottai, R. Srikant:
Hellinger KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings. - Whan-Hyuk Choi, Jon-Lark Kim:
Self-dual codes over GF(q) with symmetric generator matrices. - Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Adaptive Text Recognition through Visual Matching. - Marko Markovic, Stevan Gostojic:
Knowledge-Based Legal Document Assembly. - Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi:
High-Resolution Deep Image Matting. - Xinyue Zhang, Meng Wang, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Guilin Qi, Haofen Wang:
Revealing Secrets in SPARQL Session Level. - Mike McKerns, Francis J. Alexander, Kyle S. Hickmann, Timothy John Sullivan, Diane E. Vaughan:
Optimal Bounds on Nonlinear Partial Differential Equations in Model Certification, Validation, and Experimental Design. - Jayant Mukhopadhaya:
User Manual for the SU2 EQUiPS Module: Enabling Quantification of Uncertainty in Physics Simulations. - Makrand A. Khanwale, Kumar Saurabh, Milinda Fernando, Victor M. Calo, James A. Rossmanith, Hari Sundar, Baskar Ganapathysubramanian:
A fully-coupled framework for solving Cahn-Hilliard Navier-Stokes equations: Second-order, energy-stable numerical methods on adaptive octree based meshes. - Fauzi Adi Rafrastara, Faizal M. A:
Advanced Virus Monitoring and Analysis System. - Tim Landgraf, Hauke J. Mönck, Gregor H. W. Gebhardt, Nils Weimar, Mathis Hocke, Moritz Maxeiner, Lea Musiolek, Jens Krause, David Bierbach:
Socially competent robots: adaptation improves leadership performance in groups of live fish. - Allen O'Neill:
Data Quality Evaluation using Probability Models. - Lydia P. Gleaves, Reva Schwartz, David A. Broniatowski:
The Role of Individual User Differences in Interpretable and Explainable Machine Learning Systems. - Stefano Giani, Luka Grubisic, Harri Hakula, Jeffrey S. Ovall:
A Posteriori Error Estimates for Elliptic Eigenvalue Problems Using Auxiliary Subspace Techniques. - Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. Victor Jiji:
WDRN : A Wavelet Decomposed RelightNet for Image Relighting. - Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers:
Data Augmentation and Clustering for Vehicle Make/Model Classification. - Ayyappa Kumar Pambala, Titir Dutta, Soma Biswas:
SML: Semantic Meta-learning for Few-shot Semantic Segmentation. - Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers:
Methods of the Vehicle Re-identification. - Thomas Beckers, Leonardo Colombo, Sandra Hirche:
Safe learning-based trajectory tracking for underactuated vehicles with partially unknown dynamics. - Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini:
NextDoor: GPU-Based Graph Sampling for Graph Machine Learning. - Adam Janovsky, Matús Nemec, Petr Svenda, Peter Sekan, Vashek Matyas:
Biased RSA private keys: Origin attribution of GCD-factorable keys. - Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen:
Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. - Titus H. Klinge, James I. Lathrop:
Modulated Signals in Chemical Reaction Networks. - Alberto Nogales, Rodrigo Díaz Morón, Álvaro J. García-Tejedor:
Food safety risk prediction with Deep Learning models using categorical embeddings on European Union data. - Yan Jiang, Andrey Bernstein, Petr Vorobev, Enrique Mallada:
Grid-forming frequency shaping control. - Jaydip Sen, Sidra Mehtab:
Machine Learning Applications in Misuse and Anomaly Detection. - Mustefa Jibril, Messay Tadese, Eliyas Alemayehu Tadese:
Design and Simulation of a Steam Turbine Generator using Observer Based and LQR Controllers. - Mustefa Jibril, Eliyas Alemayehu Tadese:
Comparisons of Fuzzy MRAS and PID Controllers for EMS Maglev Train. - Mourad Oulghelou, Claudine Béghein, Cyrille Allery:
Data-Driven Optimization Approach for Inverse Problems: Application to Turbulent Mixed-Convection Flows. - Chenwei Meng, Mahdi Esmaily:
A time-spectral Stokes solver for simulation of time-periodic flows in complex geometries. - Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler:
Efficient Transformers: A Survey. - Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer:
Variable Binding for Sparse Distributed Representations: Theory and Applications. - Prabuddha Chakraborty, Jonathan Cruz, Swarup Bhunia:
Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things. - Justin D. Harris:
Analysis of Models for Decentralized and Collaborative AI on Blockchain. - Esteban Wilfredo Vilca Zuñiga:
New complex network building methodology for High Level Classification based on attribute-attribute interaction. - Justus Hibshman, Daniel Gonzalez Cedre, Satyaki Sikdar, Tim Weninger:
Joint Subgraph-to-Subgraph Transitions - Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling. - Cristina R. Ceja, Caitlyn M. McColeman, Cindy Xiong, Steven L. Franconeri:
Truth or Square: Aspect Ratio Biases Recall of Position Encodings. - Anne Driemel, Petra Mutzel, Lutz Oettershagen:
Spatio-Temporal Top-k Similarity Search for Trajectories in Graphs. - Mohammad Amin Morid, Olivia R. Liu Sheng, Kensaku Kawamoto, Travis Ault, Josette Dorius, Samir E. Abdelrahman:
Healthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns. - Kushal Chawla, Gale M. Lucas:
Effective Favor Exchange for Human-Agent Negotiation Challenge at IJCAI 2020. - Mohammad Amin Morid, Olivia R. Liu Sheng, Kensaku Kawamoto, Samir E. Abdelrahman:
Learning Hidden Patterns from Patient Multivariate Time Series Data Using Convolutional Neural Networks: A Case Study of Healthcare Cost Prediction. - Cristiane Silva Garcia, Alexandre Sanfelice Bazanella:
VRFT with ARX controller model and constrained total least squares. - Drew Zagieboylo, G. Edward Suh, Andrew C. Myers:
The Cost of Software-Based Memory Management Without Virtual Memory. - Huajie Shao, Haohong Lin, Qinmin Yang, Shuochao Yao, Tarek F. Abdelzaher:
Challenging β-VAE with β<1 for Disentanglement Via Dynamic Learning. - Nghia Doan, Seyyed Ali Hashemi, Warren J. Gross:
Decoding Polar Codes with Reinforcement Learning. - Antonio Ginart, Eva Zhang, James Zou:
Competing AI: How competition feedback affects machine learning. - Julio-Omar Palacio-Niño, Fernando Berzal:
On the use of local structural properties for improving the efficiency of hierarchical community detection methods. - Jacob Buckman, Carles Gelada, Marc G. Bellemare:
The Importance of Pessimism in Fixed-Dataset Policy Optimization. - Hao Cheng, Houde Liu, Xueqian Wang, Bin Liang:
Approximate Piecewise Constant Curvature Equivalent Model and Their Application to Continuum Robot Configuration Estimation. - Kris McGuffie, Alex Newhouse:
The Radicalization Risks of GPT-3 and Advanced Neural Language Models. - Timoleon Moraitis, Abu Sebastian, Evangelos Eleftheriou:
Short-term synaptic plasticity optimally models continuous environments. - Andrew Z. Flores, Jessica L. Montag, Jon Willits:
Using Known Words to Learn More Words: A Distributional Analysis of Child Vocabulary Development. - Souradip Guha, Jatin Agrawal, Swetarekha Ram, Seung-Cheol Lee, Satadeep Bhattacharjee, Pawan Goyal:
MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature. - Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang:
Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization. - Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu:
Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations. - Peyman Tehrani, Marco Levorato:
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems. - Neil Ghani, Clemens Kupke, Alasdair Lambert, Fredrik Nordvall Forsberg:
Compositional Game Theory with Mixed Strategies: Probabilistic Open Games Using a Distributive Law. 95-105 - John S. Nolan, Blake S. Pollard, Spencer Breiner, Dhananjay Anand, Eswaran Subrahmanian:
Compositional Models for Power Systems. 149-160 - Philip Johnson-Freyd, Jon Aytac, Geoffrey C. Hulette:
Topos Semantics for a Higher-Order Temporal Logic of Actions. 161-171 - Bryce Clarke:
Internal lenses as functors and cofunctors. 183-195 - Brendan Fong, David I. Spivak:
String Diagrams for Regular Logic (Extended Abstract). 196-229 - Bruno Gavranovic:
Learning Functors using Gradient Descent. 230-245 - Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao:
Deep Reinforcement Learning for Unknown Anomaly Detection. - Ali Ghanbari, Andrian Marcus:
PRF: A Framework for Building Automatic Program Repair Prototypes for JVM-Based Languages. - Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed:
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. - Mohamed Akrout, Anis Housseini, Faouzi Bellili, Amine Mezghani:
Bilinear Generalized Vector Approximate Message Passing. - Madison A. Elliott, Christine Nothelfer, Cindy Xiong, Danielle Szafir:
A Design Space of Vision Science Methods for Visualization Research. - Ashish Goel, Anilesh K. Krishnaswamy, Sukolsak Sakshuwong, Tanja Aitamurto:
Knapsack Voting for Participatory Budgeting. - Aran Komatsuzaki:
Current Limitations of Language Models: What You Need is Retrieval. - Yubo Huang, Xuechun Wang, Luobao Zou, Zhiwei Zhuang, Weidong Zhang:
Soft policy optimization using dual-track advantage estimator. - Yuzhen Han, Hamidreza Modares:
A Satisficing Control Design Framework with Safety and Performance Guarantees for Constrained Systems under Disturbances. - Imdad Ullah, Roksana Boreli, Salil S. Kanhere:
Privacy in targeted advertising: A survey. - Abdul Muntakim Rafi, Shivang Rana, Rajwinder Kaur, Q. M. Jonathan Wu, Pooya Moradian Zadeh:
Understanding Global Reaction to the Recent Outbreaks of COVID-19: Insights from Instagram Data Analysis. - Md Sadman Sakib Rahman, Jingxi Li, Deniz Mengu, Yair Rivenson, Aydogan Ozcan:
Ensemble learning of diffractive optical networks. - Richard Li, Eric Whitmire, Michael Stengel, Ben Boudaoud, Jan Kautz, David Luebke, Shwetak N. Patel, Kaan Aksit:
Optical Gaze Tracking with Spatially-Sparse Single-Pixel Detectors. - Yuxin Ma, Arlen Fan, Jingrui He, Arun Reddy Nelakurthi, Ross Maciejewski:
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes. - Wenjun Cai, Yuezheng Gong, Yushun Wang:
An explicit and practically invariants-preserving method for conservative systems. - André van Renssen, Gladys Wong:
Bounded-Degree Spanners in the Presence of Polygonal Obstacles. - Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su:
Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation. - Jinquan Li, Ling Pei, Danping Zou, Songpengcheng Xia, Qi Wu, Tao Li, Zhen Sun, Wenxian Yu:
Attention-SLAM: A Visual Monocular SLAM Learning from Human Gaze. - Yuanpeng Liu, Jun Zhou, Yuqi Zhang, Chao Ding, Jun Wang:
3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation. - Guoqiang Liang, Yi Jiang, Haiyan Hou:
Same data may bring conflict results: a caution to use the disruptive index. - Yougang Bian, Changkun Du, Manjiang Hu, Haikuo Liu:
Distributed Model Predicted Control of Multi-agent Systems with Applications to Multi-vehicle Cooperation. - Ye Ma, Lu Zong:
Attention-Aware Inference for Neural Abstractive Summarization. - Zhihua Xia, Qi Gu, Lizhi Xiong, Wenhao Zhou, Jian Weng:
Privacy-Preserving Image Retrieval Based on Additive Secret Sharing. - Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo:
The impact of supply-chain networks on interactions between the anti-COVID-19 lockdowns in different regions. - El Mehdi Benhani, Cuauhtemoc Mancillas López, Lilian Bossuet:
Secure Internal Communication of a Trustzone-Enabled Heterogeneous Soc Lightweight Encryption. - Mattia G. Bergomi, Massimo Ferri, Antonella Tavaglione:
Steady and ranging sets in graph persistence. - Haisheng Su, Jing Su, Dongliang Wang, Weihao Gan, Wei Wu, Mengmeng Wang, Junjie Yan, Yu Qiao:
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition. - Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Robert Caiming Qiu:
A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition. - Soham Chattopadhyay, Hritam Basak:
Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation. - Steven Mattis, Kyle Robert Steffen, Troy D. Butler, Clint N. Dawson, Donald J. Estep:
Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion. - Felix Bünning, Joseph Warrington, Philipp Heer, Roy S. Smith, John Lygeros:
Machine learning and robust MPC for frequency regulation with heat pumps. - Emir Demirovic, Peter J. Stuckey:
Optimal Decision Trees for Nonlinear Metrics. - Ashesh Mishra, Hsuan-Tien Lin:
360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales. - Trinh Van Chien, Lam-Thanh Tu, Symeon Chatzinotas, Björn E. Ottersten:
Coverage Probability and Ergodic Capacity of Intelligent Reflecting Surface-Enhanced Communication Systems. - Mariana Segovia, Jose Rubio-Hernan, Ana Rosa Cavalli, Joaquín García-Alfaro:
Cyber-Resilience Evaluation of Cyber-Physical Systems. - Dan Koschier, Jan Bender, Barbara Solenthaler, Matthias Teschner:
Smoothed Particle Hydrodynamics Techniques for the Physics Based Simulation of Fluids and Solids. - Costas Mavromatis, George Karypis:
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning. - Murat Manguoglu, Volker Mehrmann:
A two-level iterative scheme for general sparse linear systems based on approximate skew-symmetrizers. - Hao Fei, Yafeng Ren, Donghong Ji:
High-order Refining for End-to-end Chinese Semantic Role Labeling. - Jang-Hyun Kim, Wonho Choo, Hyun Oh Song:
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup. - Dario Zanca, Marco Gori, Stefano Melacci, Alessandra Rufa:
Gravitational Models Explain Shifts on Human Visual Attention. - Renming Liu, Siyu Chen, Yu Jiang, Ravi Seshadri, Moshe E. Ben-Akiva, Carlos Lima Azevedo:
Managing network congestion with tradable credit scheme: a trip-based MFD approach. - Robin Hirsch, Jas Semrl:
Finite Representability of Semigroups with Demonic Refinement. - Ioannis Zografopoulos, Juan Ospina, Charalambos Konstantinou:
Harness the Power of DERs for Secure Communications in Electric Energy Systems. - Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan:
Dialogue Response Ranking Training with Large-Scale Human Feedback Data. - Martin Plajner, Jirí Vomlel:
Monotonicity in practice of adaptive testing. - Malgorzata Biernacka, Dariusz Biernacki, Witold Charatonik, Tomasz Drab:
An Abstract Machine for Strong Call by Value. - Maksym Planeta, Jan Bierbaum, Leo Sahaya Daphne Antony, Torsten Hoefler, Hermann Härtig:
TardiS: Migrating Containers with RDMA Networks. - Josef Dick, Friedrich Pillichshammer:
Weighted integration over a cube based on digital nets and sequences. - Haoliang Li, Yufei Wang, Xiaofei Xie, Yang Liu, Shiqi Wang, Renjie Wan, Lap-Pui Chau, Alex C. Kot:
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems. - Sagar Vaze, Conrad James Foley, Mohamed El Amine Seddiq, Alexey Unagaev, Natalia Efremova:
Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks. - Nicolas Michael Müller, Daniel Kowatsch, Konstantin Böttinger:
Data Poisoning Attacks on Regression Learning and Corresponding Defenses. - Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Nathan C. Dadap, Alexandra Georges Konings, Pascal Fua:
Promoting Connectivity of Network-Like Structures by Enforcing Region Separation. - Anastasia Petrova, Dominique Vaufreydaz, Philippe Dessus:
Group-Level Emotion Recognition Using a Unimodal Privacy-Safe Non-Individual Approach. - I. S. W. B. Prasetya, Maurin Voshol, Tom Tanis, Adam Smits, Bram Smit, Jacco van Mourik, Menno Klunder, Frank Hoogmoed, Stijn Hinlopen, August van Casteren, Jesse van de Berg, Naraenda G. W. Y. Prasetya, Samira Shirzadehhajimahmood, Saba Gholizadeh Ansari:
Navigation and Exploration in 3D-Game Automated Play Testing. - Haiyang Yu, Ningyu Zhang, Shumin Deng, Zonggang Yuan, Yantao Jia, Huajun Chen:
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis. - Jing Wu, Mingyi Zhou, Shuaicheng Liu, Yipeng Liu, Ce Zhu:
Decision-based Universal Adversarial Attack. - Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez:
FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment. - Jinghua Wang, Jianmin Jiang:
SA-Net: A deep spectral analysis network for image clustering. - Yang Liu, Sheng Shen, Mirella Lapata:
Noisy Self-Knowledge Distillation for Text Summarization. - Honghu Pan, Fanyang Meng, Nana Fan, Zhenyu He:
TCDesc: Learning Topology Consistent Descriptors for Image Matching. - Dimitrios Kollias, N. Bouas, Y. Vlaxos, V. Brillakis, M. Seferis, Ilianna Kollia, Levon Sukissian, James Wingate, Stefanos D. Kollias:
Deep Transparent Prediction through Latent Representation Analysis. - Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen:
Old Photo Restoration via Deep Latent Space Translation. - Felix Wick, Ulrich Kerzel, Martin Hahn, Moritz Wolf, Trapti Singhal, Michael Feindt:
Demand Forecasting of individual Probability Density Functions with Machine Learning. - Joseph F. DeRose, Jiayao Wang, Matthew Berger:
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models. - Parthasarathy Suryanarayanan, Ching-Huei Tsou, Ananya Poddar, Diwakar Mahajan, Bharath Dandala, Piyush Madan, Anshul Agrawal, Charles Wachira, Samuel Mogaka Osebe, Osnat Bar-Shira, Clifton Kipchirchir, Sharon Okwako, William Ogallo, Fred Otieno, Timothy Nyota, Fiona Matu, Vesna Resende Barros, Daniel Shats, Oren Kagan, Sekou L. Remy, Oliver Bent, Shilpa Mahatma, Aisha Walcott-Bryant, Divya Pathak, Michal Rosen-Zvi:
WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19. - Louis Clouâtre, Philippe Trempe, Amal Zouaq, Sarath Chandar:
MLMLM: Link Prediction with Mean Likelihood Masked Language Model. - Huan Yin, Yue Wang, Runjian Chen, Rong Xiong:
RaLL: End-to-end Radar Localization on Lidar Map Using Differentiable Measurement Model. - Tasbolat Taunyazov, Weicong Sng, Hian-Hian See, Brian Lim, Jethro Kuan, Abdul Fatir Ansari, Benjamin C. K. Tee, Harold Soh:
Event-Driven Visual-Tactile Sensing and Learning for Robots. - Malik Imran, Zain Ul Abideen, Samuel Pagliarini:
A Systematic Study of Lattice-based NIST PQC Algorithms: from Reference Implementations to Hardware Accelerators. - Eytan Adar, Elsie Lee:
Communicative Visualizations as a Learning Problem. - Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang:
Second-order Neural Network Training Using Complex-step Directional Derivative. - Fauzi Adi Rafrastara, Deyu Qi:
Revealing the Weaknesses of File Sharing System on Cloud Storages. - Sorachi Kato, Takeru Fukushima, Tomoki Murakami, Hirantha Abeysekera, Yusuke Iwasaki, Takuya Fujihashi, Takashi Watanabe, Shunsuke Saruwatari:
CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks. - Kazuhisa Fujita:
Approximate spectral clustering using both reference vectors and topology of the network generated by growing neural gas. - Therese Biedl:
Drawing outer-1-planar graphs revisited. - Roger D. Soberanis-Mukul, Shadi Albarqouni, Nassir Navab:
Polyp-artifact relationship analysis using graph inductive learned representations. - Wei Chen, Faez Ahmed:
MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization. - Sheng Wan, Shirui Pan, Jian Yang, Chen Gong:
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning. - Tianyu Zhao, Tatsuya Kawahara:
Multi-Referenced Training for Dialogue Response Generation. - Timo Schick, Hinrich Schütze:
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners. - Miftahul Mahfuzh, Sidik Soleman, Ayu Purwarianti:
Improving Joint Layer RNN based Keyphrase Extraction by Using Syntactical Features. - Patrick Reinwald, Stephan Leitner, Friederike Wall:
An Agent-Based Model of Delegation Relationships With Hidden-Action: On the Effects of Heterogeneous Memory on Performance. - Nicola Milano, Stefano Nolfi:
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents. - D. M. Anisuzzaman, Yash Patel, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu:
A Mobile App for Wound Localization using Deep Learning. - Vikram Venkatraghavan, Stefan Klein, Lana Fani, Leontine S. Ham, Henri A. Vrooman, M. Kamran Ikram, Wiro J. Niessen, Esther E. Bron:
Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations. - Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu:
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction. - D. M. Anisuzzaman, Chuanbo Wang, Behrouz Rostami, Sandeep Gopalakrishnan, Jeffrey A. Niezgoda, Zeyun Yu:
Image Based Artificial Intelligence in Wound Assessment: A Systematic Review. - Juyong Jiang, Jie Zhang, Kai Zhang:
Cascaded Semantic and Positional Self-Attention Network for Document Classification. - Elodie Bouzbib, Gilles Bailly, Sinan Haliyo, Pascal Frey:
CoVR: A Large-Scale Force-Feedback Robotic Interface for Non-Deterministic Scenarios in VR. - Tiangang Zhu, Yue Wang, Haoran Li, Youzheng Wu, Xiaodong He, Bowen Zhou:
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product. - Kaivalya Rawal, Himabindu Lakkaraju:
Interpretable and Interactive Summaries of Actionable Recourses. - Zhiwei Wei, Chenzhen Duan:
AMRNet: Chips Augmentation in Areial Images Object Detection. - Thosini Bamunu Mudiyanselage, Xiujuan Lei, Nipuna Senanayake, Yanqing Zhang, Yi Pan:
Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association. - Johri van Eerd, Jan Friso Groote, Pieter Hijma, Jan Martens, Anton Wijs:
Term Rewriting on GPUs. - Davoud Mirzaei:
The Direct RBF Partition of Unity (D-RBF-PU) Method for Solving PDEs. - Jason Lee, Raphael Shu, Kyunghyun Cho:
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation. - Gregor Betz:
Critical Thinking for Language Models. - Parul Awasthy, Tahira Naseem, Jian Ni, Taesun Moon, Radu Florian:
Event Presence Prediction Helps Trigger Detection Across Languages. - Elena Limonova, Daniil Alfonso, Dmitry P. Nikolaev, Vladimir V. Arlazarov:
ResNet-like Architecture with Low Hardware Requirements. - Chen Ma, Shuyu Cheng, Li Chen, Junhai Yong:
Switching Gradient Directions for Query-Efficient Black-Box Adversarial Attacks. - Michael T. Schaub, Leto Peel:
Hierarchical community structure in networks. - Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji:
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. - Christof Beierle, Gregor Leander:
New Instances of Quadratic APN Functions. - Thai Duong, Michael C. Yip, Nikolay Atanasov:
Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping. - Sudhakaran Jain, S. Hamidreza Kasaei:
3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable Networks. - Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu:
Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes. - Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski:
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. - Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray:
Deep Learning based Vulnerability Detection: Are We There Yet? - Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu:
A Survey on Automated Log Analysis for Reliability Engineering. - Victor Makarenkov, Lior Rokach:
Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet. - Moin Nadeem, Tianxing He, Kyunghyun Cho, James R. Glass:
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation. - Yuri Faenza, Danny Segev, Lingyi Zhang:
Approximation Algorithms for The Generalized Incremental Knapsack Problem. - Fatema Tuz Zohora, M. Ziaur Rahman, Ngoc Hieu Tran, Lei Xin, Baozhen Shan, Ming Li:
PointIso: Point Cloud Based Deep Learning Model for Detecting Arbitrary-Precision Peptide Features in LC-MS Map through Attention Based Segmentation. - Alexander Lin, Jeremy Wohlwend, Howard Chen, Tao Lei:
Autoregressive Knowledge Distillation through Imitation Learning. - Ryan J. Gallagher, Larissa Doroshenko, Sarah Shugars, David Lazer, Brooke Foucault Welles:
Sustained Online Amplification of COVID-19 Elites in the United States. - Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates:
BERT-QE: Contextualized Query Expansion for Document Re-ranking. - Abhishek Gupta, Camylle Lanteigne, Victoria Heath:
Report prepared by the Montreal AI Ethics Institute (MAIEI) for Publication Norms for Responsible AI by Partnership on AI. - Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
Understanding Deformable Alignment in Video Super-Resolution. - András Gilyén, Zhao Song, Ewin Tang:
An improved quantum-inspired algorithm for linear regression. - Dmitriy Kunisky:
Positivity-preserving extensions of sum-of-squares pseudomoments over the hypercube. - Arman Karimian, Roberto Tron:
Bearing-Only Navigation with Field of View Constraints. - Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault, Lucia Specia:
Simultaneous Machine Translation with Visual Context. - Vahid R. Asadi, Igor Shinkar:
Relaxed Locally Correctable Codes with Improved Parameters. - Parul Awasthy, Taesun Moon, Jian Ni, Radu Florian:
Cascaded Models for Better Fine-Grained Named Entity Recognition. - Linlin Bu, Cornelis W. Oosterlee:
On high-order schemes for tempered fractional partial differential equations. - Eren Cakmak, Dominik Jäckle, Tobias Schreck, Daniel A. Keim:
dg2pix: Pixel-Based Visual Analysis of Dynamic Graphs. - Soheil Shahrouz, Saber Salehkaleybar, Matin Hashemi:
GPU Accelerated RIS-based Influence Maximization Algorithm. - Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak:
Generative models with kernel distance in data space. - Md. Mushfiqur Rahman, Thasin Abedin, Khondokar S. S. Prottoy, Ayana Moshruba, Fazlul Hasan Siddiqui:
Semantically Sensible Video Captioning (SSVC). - Logan Courtney, Ramavarapu Sreenivas:
Comparison of Spatiotemporal Networks for Learning Video Related Tasks. - Takayuki Itoh, Asuka Nakabayashi, Mariko Hagita:
Scatterplot Selection Applying a Graph Coloring Problem. - Nariman Torkzaban, John S. Baras:
Trust-Aware Service Function Chain Embedding: A Path-Based Approach. - Georgios Theocharous, Yash Chandak, Philip S. Thomas, Frits de Nijs:
Reinforcement Learning for Strategic Recommendations. - Robert Susik:
Recurrent autoencoder with sequence-aware encoding. - Meng Jiang, Taeho Jung, Ryan Karl, Tong Zhao:
Federated Dynamic GNN with Secure Aggregation. - Dylan Chou, Meng Jiang:
Data-Driven Network Intrusion Detection: A Taxonomy of Challenges and Methods. - Shankarachary Ragi, Hans D. Mittelmann:
Random-Sampling Monte-Carlo Tree Search Methods for Cost Approximation in Long-Horizon Optimal Control. - Chidubem Arachie, Bert Huang:
Constrained Labeling for Weakly Supervised Learning. - Mayssa Ben Kahla, Dalel Kanzari, Ahmed Maalel:
General DeepLCP model for disease prediction : Case of Lung Cancer. - Zining Zhu, Frank Rudzicz:
An information theoretic view on selecting linguistic probes. - Matthias Lindemann, Jonas Groschwitz, Alexander Koller:
Fast semantic parsing with well-typedness guarantees. - William F. Whitney, Min Jae Song, David Brandfonbrener, Jaan Altosaar, Kyunghyun Cho:
Evaluating representations by the complexity of learning low-loss predictors. - Rujun Han, Yichao Zhou, Nanyun Peng:
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction. - Tomas Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas:
BOP Challenge 2020 on 6D Object Localization. - Junjie Yang, Zhuosheng Zhang, Hai Zhao:
Multi-span Style Extraction for Generative Reading Comprehension. - Brian Hu Zhang, Tuomas Sandholm:
Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games. - Siavash Ameli, Shawn C. Shadden:
Interpolating the Trace of the Inverse of Matrix A + tB. - Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana V. Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi:
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. - Christophe Combastel:
Functional sets with typed symbols: Framework and mixed Polynotopes for hybrid nonlinear reachability and filtering. - Haley Lepp, Gina-Anne Levow:
Pardon the Interruption: An Analysis of Gender and Turn-Taking in U.S. Supreme Court Oral Arguments. - Seyedehzahra Khoshmanesh, Robyn R. Lutz:
Does Link Prediction Help Detect Feature Interactions in Software Product Lines (SPLs)? - Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer:
Grounded Adaptation for Zero-shot Executable Semantic Parsing. - Fouzi Harrag, AbdulMalik Salman Al-Salman, Alaa Alqahtani:
Arabic Opinion Mining Using a Hybrid Recommender System Approach. - Jie Zhao, Maria Alejandra Rodriguez, Rajkumar Buyya:
High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments. - Rafael Ravedutti L. Machado, Jonas Schmitt, Sebastian Eibl, Jan Eitzinger, Roland Leißa, Sebastian Hack, Arsène Pérard-Gayot, Richard Membarth, Harald Köstler:
tinyMD: A Portable and Scalable Implementation for Pairwise Interactions Simulations. - Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li, Dapeng Wu:
Asking Complex Questions with Multi-hop Answer-focused Reasoning. - Molla Rashied Hussein, Md. Ashikur Rahman, Md. Jahidul Hassan Mojumder, Shakib Ahmed, Samia Naz Isha, Shaila Akter, Abdullah Bin Shams, Ehsanul Hoque Apu:
Trust Concerns in Health Apps collecting Personally Identifiable Information during COVID-19-like Zoonosis. - Wenjian Hao, Rongyao Wang, Alexander Krolicki, Yiqiang Han:
Cell A* for Navigation of Unmanned Aerial Vehicles in Partially-known Environments. - Mariela Morveli Espinoza, Juan Carlos Nieves, Cesar Augusto Tacla:
An Imprecise Probability Approach for Abstract Argumentation based on Credal Sets. - Martin Kuo, Yaobo Liang, Lei Ji, Nan Duan, Linjun Shou, Ming Gong, Peng Chen:
Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding. - Hao Fei, Yafeng Ren, Donghong Ji:
Retrofitting Structure-aware Transformer Language Model for End Tasks. - Ching-Chen Wang, Ching-Te Chiu, Jheng-Yi Chang:
EfficientNet-eLite: Extremely Lightweight and Efficient CNN Models for Edge Devices by Network Candidate Search. - Sumit Purohit, Nhuy Van, George Chin:
Semantic Property Graph for Scalable Knowledge Graph Analytics. - Hao Fei, Yafeng Ren, Donghong Ji:
Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP. - Thomas Hardjono, Alexander Lipton, Alex Pentland:
Towards a Contract Service Provider Model for Virtual Assets and VASPs. - Stephan J. Lemmer, Jason J. Corso:
DAER to Reject Seeds with Dual-loss Additional Error Regression. - Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu:
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. - Yicheng Xu, Vincent Chau, Chenchen Wu, Yong Zhang, Vassilis Zissimopoulos, Yifei Zou:
Too Much Information Kills Information: A Clustering Perspective. - Achintya Gopal:
Quasi-Autoregressive Residual (QuAR) Flows. - Yanyi Zhang, Xinyu Li, Ivan Marsic:
Multi-Label Activity Recognition using Activity-specific Features. - Wan Jiang, Shixin Zhu, Xiaojing Chen:
Cyclic codes and some new entanglement-assisted quantum MDS codes. - Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong:
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. - Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas:
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version). - Pawan Kumar Singh, Iman Chatterjee, Ram Sarkar, Mita Nasipuri:
Handwritten Script Identification from Text Lines. - Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri:
A New Approach for Texture based Script Identification At Block Level using Quad Tree Decomposition. - Yu-Wei Zhan, Xin Luo, Yu Sun, Yongxin Wang, Zhen-Duo Chen, Xin-Shun Xu:
Weakly-Supervised Online Hashing. - Dachao Lin, Ruoyu Sun, Zhihua Zhang:
Landscape of Sparse Linear Network: A Brief Investigation. - Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran:
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. - Sunny Tian, Amy X. Zhang, David R. Karger:
A System for Interleaving Discussion and Summarization in Online Collaboration. - Yizhi Wang, Zhouhui Lian:
Exploring Font-independent Features for Scene Text Recognition. - Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu:
Question Directed Graph Attention Network for Numerical Reasoning over Text. - (Withdrawn) Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning.
- Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee:
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. - Anxun He, Jianzong Wang, Zhangcheng Huang, Jing Xiao:
FedSmart: An Auto Updating Federated Learning Optimization Mechanism. - Yiming Liu, Erwu Liu, Rui Wang:
Reconfigurable Intelligent Surface Aided Wireless Localization. - Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Runbin Shi, Xue Lin, Yanzhi Wang:
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. - Qiang Fu, Jialong Wang, Hongshan Yu, Islam Ali, Feng Guo, Hong Zhang:
PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line. - Chenglong Zhang:
A New Perspective of Graph Data and A Generic and Efficient Method for Large Scale Graph Data Traversal. - Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song:
DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering. - Xuemeng Liu, Chang Liu, Yonghui Li, Branka Vucetic, Derrick Wing Kwan Ng:
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications. - Sathyanarayanan N. Aakur, Sanjoy Kundu, Nikhil Gunti:
Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision. - Mayank Raj, Ajay Jaiswal, Rohit R. R, Ankita Gupta, Sudeep Kumar Sahoo, Vertika Srivastava, Yeon Hyang Kim:
Solomon at SemEval-2020 Task 11: Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles. - Zhiyuan Wang, Lin Gao, Tong Wang, Jingjing Luo:
Monetizing Edge Service in Mobile Internet Ecosystem. - Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki:
Path Planning using Neural A* Search. - Shahroz Tariq, Sangyup Lee, Simon S. Woo:
A Convolutional LSTM based Residual Network for Deepfake Video Detection. - Zongyi Li, Xiaoqing Zheng:
Unsupervised Summarization by Jointly Extracting Sentences and Keywords. - Anirban Ghose, Siddharth Singh, Vivek Kulaharia, Lokesh Dokara, Srijeeta Maity, Soumyajit Dey:
PySchedCL: Leveraging Concurrency in Heterogeneous Data-Parallel Systems. - Hossein Gholamalinezhad, Hossein Khosravi:
Pooling Methods in Deep Neural Networks, a Review. - Sufeng Duan, Hai Zhao, Rui Wang:
Graph-to-Sequence Neural Machine Translation. - Zhikang Wang, Lihuo He, Xinbo Gao, Jane Shen:
Robust Person Re-Identification through Contextual Mutual Boosting. - Ninghao Liu, Yunsong Meng, Xia Hu, Tie Wang, Bo Long:
Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability. - Takeshi Iwashita, Kengo Suzuki, Takeshi Fukaya:
An Integer Arithmetic-Based Sparse Linear Solver Using a GMRES Method and Iterative Refinement. - Paolo Liberatore:
One head is better than two: a polynomial restriction for propositional definite Horn forgetting. - Lijian Lin, Haosheng Chen, Honglun Zhang, Jun Liang, Yu Li, Ying Shan, Hanzi Wang:
Dual Semantic Fusion Network for Video Object Detection. - Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo:
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation. - Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan:
Contextualized Perturbation for Textual Adversarial Attack. - Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi:
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction. - Kexin Feng, Preeti Zanwar, Amir H. Behzadan, Theodora Chaspari:
Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs. - Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi:
The 1st Tiny Object Detection Challenge: Methods and Results. - Anushree Rankawat, Mansi Rankawat, Harshal B. Oza:
A priori guarantees of finite-time convergence for Deep Neural Networks. - Maiki Fujita, Takeshi Koshiba, Kenji Yasunaga:
Perfectly Secure Message Transmission against Rational Adversaries. - Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone:
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. - Alexandre Letard, Tassadit Amghar, Olivier Camp, Nicolas Gutowski:
Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users' Feedback. - Leto Peel, Michael T. Schaub:
Detectability of hierarchical communities in networks. - Jing Yu, Yuan Chai, Yue Hu, Qi Wu:
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation. - Rizhao Cai, Haoliang Li, Shiqi Wang, Changsheng Chen, Alex ChiChung Kot:
DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing. - Luca Parisi:
m-arcsinh: An Efficient and Reliable Function for SVM and MLP in scikit-learn. - Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun:
Simplified TinyBERT: Knowledge Distillation for Document Retrieval. - Steven Kisseleff, Eva Lagunas, Tedros Salih Abdu, Symeon Chatzinotas, Björn E. Ottersten:
Radio Resource Management Techniques for Multibeam Satellite Systems. - Guoqing Zhang, Junchuan Yang, Yuhui Zheng, Yi Wu, Shengyong Chen:
Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification. - Le Yang, Fu-Chun Zheng, Shi Jin:
A Fine-Grained Analysis of mmWave Heterogeneous Networks. - Trung Vu, Evgenia Chunikhina, Raviv Raich:
Perturbation expansions and error bounds for the truncated singular value decomposition. - Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao:
Group-wise Contrastive Learning for Neural Dialogue Generation. - Qiao Qi, Xiaoming Chen, Caijun Zhong, Zhaoyang Zhang:
Integrated Sensing, Computation and Communication in B5G Cellular Internet of Things. - Jinglian He, Kaiqiang Yu, Yuanming Shi, Yong Zhou, Wei Chen, Khaled B. Letaief:
Reconfigurable Intelligent Surface Assisted Massive MIMO with Antenna Selection. - K. R. M. dos Santos, Dimitris G. Giovanis, Michael D. Shields:
Grassmannian diffusion maps based dimension reduction and classification for high-dimensional data. - Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra:
Thompson Sampling for Unsupervised Sequential Selection. - Daichi Horita, Kiyoharu Aizawa:
SLGAN: Style- and Latent-guided Generative Adversarial Network for Desirable Makeup Transfer and Removal. - Yao Wang, Xin Guo, Shao-Bo Lin:
Kernel-based L_2-Boosting with Structure Constraints. - Jean de Bodinat, Thomas Guerneve, Jose Vazquez, Marija Jegorova:
Similarity-based data mining for online domain adaptation of a sonar ATR system. - Matan Shelomi:
Comment on "Open is not forever: a study of vanished open access journals". - Xiaoyi Wang, Alexander Eiselmayer, Wendy E. Mackay, Kasper Hornbæk, Chat Wacharamanotham:
Argus: Interactive a priori Power Analysis. - Simone Palazzo, Dario Calogero Guastella, Luciano Cantelli, Paolo Spadaro, Francesco Rundo, Giovanni Muscato, Daniela Giordano, Concetto Spampinato:
Domain Adaptation for Outdoor Robot Traversability Estimation from RGB data with Safety-Preserving Loss. - Alona Zharova, Janine Tellinger-Rice, Wolfgang Karl Härdle:
How to Measure the Performance of a Collaborative Research Center. - Marcus Greiff, Karl Berntorp, Anders Robertsson:
Exploiting Linear Substructure In LRKFs (Extended). - Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Hierarchical brain parcellation with uncertainty. - Yunus Can Bilge, Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis, Pinar Duygulu:
Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos. - Giulia Moschini, Régis Houssou, Jérôme Bovay, Stephan Robert-Nicoud:
Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model. - Tommaso Adamo, Gianpaolo Ghiani, Emanuela Guerriero:
On path ranking in time-dependent graphs. - Jian Guan, Minlie Huang:
UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation. - Bianjiang Yang, Zi Hui, Haoji Hu, Xinyi Hu, Lu Yu:
Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition. - Alexandra Chronopoulou, Dario Stojanovski, Alexander M. Fraser:
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT. - George Adaimi, Sven Kreiss, Alexandre Alahi:
Perceiving Traffic from Aerial Images. - Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Neural Dialogue State Tracking with Temporally Expressive Networks. - Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Parallel Interactive Networks for Multi-Domain Dialogue State Generation. - Nieves Montes, Carles Sierra:
Value Alignment Equilibrium in Multiagent systems. - Xiao Zhang, Xingjian Li, Dejing Dou, Ji Wu:
Measuring Information Transfer in Neural Networks. - Héctor García de Marina:
Distributed formation maneuver control by manipulating the complex Laplacian. - Amit Chavda, Jason Dsouza, Sumeet Badgujar, Ankit Damani:
Multi-Stage CNN Architecture for Face Mask Detection. - Julien Lange, Anastasia Mavridou, Larisa Safina, Alceste Scalas:
Proceedings 13th Interaction and Concurrency Experience, ICE 2020, Online, 19 June 2020. EPTCS 324, 2020 [contents] - Stasys Jukna, Hannes Seiwert:
Tropical Kirchhoff's Formula and Postoptimality in Matroid Optimization. - Christian von der Weth, Ashraf M. Abdul, Shaojing Fan, Mohan S. Kankanhalli:
Helping Users Tackle Algorithmic Threats on Social Media: A Multimedia Research Agenda. - Pablo V. A. Barros, Nikhil Churamani, Alessandra Sciutti:
The FaceChannel: A Fast & Furious Deep Neural Network for Facial Expression Recognition. - Zijie Ye, Haozhe Wu, Jia Jia, Yaohua Bu, Wei Chen, Fanbo Meng, Yanfeng Wang:
ChoreoNet: Towards Music to Dance Synthesis with Choreographic Action Unit. - Haisheng Su, Weihao Gan, Wei Wu, Junjie Yan, Yu Qiao:
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation. - Marco Anteghini, Jennifer D'Souza, Vítor A. P. Martins dos Santos, Sören Auer:
Representing Semantified Biological Assays in the Open Research Knowledge Graph. - Lukas Holzbaur, Sven Puchinger, Eitan Yaakobi, Antonia Wachter-Zeh:
Partial MDS Codes with Regeneration. - Estefanía Talavera, Andreea Glavan, Alina Matei, Petia Radeva:
Eating Habits Discovery in Egocentric Photo-streams. - Jan Portisch, Michael Hladik, Heiko Paulheim:
RDF2Vec Light - A Lightweight Approach for Knowledge Graph Embeddings. - Thomas Bonald, Nathan de Lara, Quentin Lutz, Bertrand Charpentier:
Scikit-network: Graph Analysis in Python. - Kristina Gligoric, Ashton Anderson, Robert West:
Adoption of Twitter's New Length Limit: Is 280 the New 140? - Abdelhak Lemkhenter, Paolo Favaro:
Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling. - Hong Hu, Yue M. Lu:
Universality Laws for High-Dimensional Learning with Random Features. - Ahmed Mohamed Hussain, Gabriele Oligeri, Thiemo Voigt:
The Dark (and Bright) Side of IoT: Attacks and Countermeasures to Identification of Smart Home Devices and Services. - Qing Lyu, Li Zhang, Chris Callison-Burch:
Reasoning about Goals, Steps, and Temporal Ordering with WikiHow. - Abraham Peedikayil Kuruvila, Ioannis Zografopoulos, Kanad Basu, Charalambos Konstantinou:
Hardware-Assisted Detection of Firmware Attacks in Inverter-Based Cyberphysical Microgrids. - Damla Senol Cali, Gurpreet S. Kalsi, Zülal Bingöl, Can Firtina, Lavanya Subramanian, Jeremie S. Kim, Rachata Ausavarungnirun, Mohammed Alser, Juan Gómez-Luna, Amirali Boroumand, Anant Nori, Allison Scibisz, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu:
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. - Reuben Tan, Bryan A. Plummer, Kate Saenko:
Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News. - Zhi Wang, Chaoge Liu, Xiang Cui, Jialong Zhang, Di Wu, Jie Yin, Jiaxi Liu, Qixu Liu, Jinli Zhang:
AI-powered Covert Botnet Command and Control on OSNs. - Lehel Banjai, Gabriel J. Lord, Jeta Molla:
Strong convergence of a Verlet integrator for the semi-linear stochastic wave equation. - Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun:
Collaborative Group Learning. - Robert McCraith, Lukás Neumann, Andrea Vedaldi:
Calibrating Self-supervised Monocular Depth Estimation. - Diego Moussallem:
Knowledge Graphs for Multilingual Language Translation and Generation. - Sara Atito Ali Ahmed, Berrin A. Yanikoglu:
Relative Attribute Classification with Deep Rank SVM. - Hanjiang Hu, Hesheng Wang, Zhe Liu, Weidong Chen:
Domain-invariant Similarity Activation Map Metric Learning for Retrieval-based Long-term Visual Localization. - Nikolaos Charalampos Papadopoulos, Vasileios Karakostas, Konstantinos Nikas, Nectarios Koziris, Dionisios N. Pnevmatikatos:
Enabling Virtual Memory Research on RISC-V with a Configurable TLB Hierarchy for the Rocket Chip Generator. - Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer:
Evaluating Self-Supervised Pretraining Without Using Labels. - Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray:
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. - Diego Moussallem, Dwaraknath Gnaneshwar, Thiago Castro Ferreira, Axel-Cyrille Ngonga Ngomo:
NABU - Multilingual Graph-based Neural RDF Verbalizer. - Ruisi Zhang, Luntian Mou, Pengtao Xie:
TreeGAN: Incorporating Class Hierarchy into Image Generation. - Abdurrahman Yasar, Muhammed Fatih Balin, Xiaojing An, Kaan Sancak, Ümit V. Çatalyürek:
On Symmetric Rectilinear Matrix Partitioning. - Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe:
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking. - Alexander Lavin:
Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels. - Juan Cruz-Benito, Sanjay Vishwakarma, Francisco Martín-Fernández, Ismael Faro:
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches. - Yansheng Wu:
Twisted Reed-Solomon Codes With One-dimensional Hull. - Snorre H. Christiansen, Jay Gopalakrishnan, Johnny Guzmán, Kaibo Hu:
A discrete elasticity complex on three-dimensional Alfeld splits. - Erick Galinkin:
Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View. - Elena V. Epure, Guillaume Salha, Romain Hennequin:
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation. - Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic:
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring. - Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, David W. Buchanan, Lauren Berkowitz, Or Biran, Jennifer Chu-Carroll:
GLUCOSE: GeneraLized and COntextualized Story Explanations. - Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. - Isolde Adler, Polly Fahey:
Faster Property Testers in a Variation of the Bounded Degree Model. - Joseph Gravellier, Jean-Max Dutertre, Yannick Teglia, Philippe Loubet-Moundi:
SideLine: How Delay-Lines (May) Leak Secrets from your SoC. - Lucas Rusnak, Jelena Tesic:
Characterizing Attitudinal Network Graphs through Frustration Cloud. - Yadan Fan, Sicheng Zhou, Yifan Li, Rui Zhang:
Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text. - Shuhei Kurita, Kyunghyun Cho:
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule. - Boro Sofranac, Ambros M. Gleixner, Sebastian Pokutta:
Accelerating Domain Propagation: an Efficient GPU-Parallel Algorithm over Sparse Matrices. - Mustafa Emara, Hesham ElSawy, Miltiades C. Filippou, Gerhard Bauch:
Spatiotemporal Dependable Task Execution Services in MEC-enabled Wireless Systems. - Joachim Gudmundsson, Yuan Sha, Sampson Wong:
Approximating the packedness of polygonal curves. - Himanshu Pradeep Aswani, Amit Sethi:
Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance. - Zhong Li, Jiequn Han, Weinan E, Qianxiao Li:
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis. - Dustin Wright, Isabelle Augenstein:
Transformer Based Multi-Source Domain Adaptation. - Tara Safavi, Danai Koutra:
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark. - Jamal El-Ouahi, Nicolás Robinson-García, Rodrigo Costas:
Beyond the Western Core-Periphery Model: Analysing Scientific Mobility and Collaboration in the Middle East and North Africa. - Yuen-Jen Lin, Hsuan-Kai Kao, Yih-Chih Tseng, Ming Tsai, Li Su:
A Human-Computer Duet System for Music Performance. - Vinícius Antonio Battagello, Nei Yoshihiro Soma, Rubens Junqueira Magalhães Afonso:
Trajectory planning with a dynamic obstacle clustering strategy using Mixed-Integer Linear Programming. - Luoqi Chen, Ahmad Elkhateb, Nikolaos Athanasopoulos:
Ultra Buck DC/DC Converter for Electric Vehicles. - Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network. - Yikun Chen, Ahmad Elkhateb:
Multiport Rapid Charging Power Converter. - Kaili Wang, José Oramas M., Tinne Tuytelaars:
Multiple Exemplars-based Hallucinationfor Face Super-resolution and Editing. - Kirill Martynov, Kiran Garimella, Robert West:
Human biases in body measurement estimation. - Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein:
Layered Neural Rendering for Retiming People in Video. - William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy:
Immutable Log Storage as a Service on Private and Public Blockchains. - Tomás Sixta, Júlio C. S. Jacques Júnior, Pau Buch-Cardona, Eduard Vazquez, Sergio Escalera:
FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition. - Richard Yuanzhe Pang, He He:
Text Generation by Learning from Off-Policy Demonstrations. - Kumar Ashutosh, Sarthak Consul, Bhishma Dedhia, Parthasarathi Khirwadkar, Sahil Shah, Shivaram Kalyanakrishnan:
Lower Bounds for Policy Iteration on Multi-action MDPs. - Tyler Ard, Longxiang Guo, Robert Austin Dollar, S. Alireza Fayazi, Nathan Goulet, Yunyi Jia, Beshah Ayalew, Ardalan Vahidi:
Energy and Flow Effects of Optimal Automated Driving in Mixed Traffic: Vehicle-in-the-Loop Experimental Results. - Qiong Liu, Yanxia Zhang:
Using Sensory Time-cue to enable Unsupervised Multimodal Meta-learning. - Sean O'Connor, Ryan Nurwono, Eleanor Birrell:
(Un)clear and (In)conspicuous: The right to opt-out of sale under CCPA. - Zhuangdi Zhu, Kaixiang Lin, Jiayu Zhou:
Transfer Learning in Deep Reinforcement Learning: A Survey. - Samaneh Morovati, Héctor Pulgar-Painemal:
Control coordination between DFIG-based wind turbines and synchronous generators for optimal primary frequency response. - Senthil Hariharan Arul, Dinesh Manocha:
SwarmCCO: Probabilistic Reactive Collision Avoidance for Quadrotor Swarms under Uncertainty. - Narine Kokhlikyan, Vivek Miglani, Miguel Martin, Edward Wang, Bilal Alsallakh, Jonathan Reynolds, Alexander Melnikov, Natalia Kliushkina, Carlos Araya, Siqi Yan, Orion Reblitz-Richardson:
Captum: A unified and generic model interpretability library for PyTorch. - Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan:
Comparison Lift: Bandit-based Experimentation System for Online Advertising. - Sara Alaee, Kaveh Kamgar, Eamonn J. Keogh:
Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW. - Daniel Jünger, Robin Kobus, André Müller, Christian Hundt, Kai Xu, Weiguo Liu, Bertil Schmidt:
WarpCore: A Library for fast Hash Tables on GPUs. - Arnoud A. W. M. de Kroon, Danielle Belgrave, Joris M. Mooij:
Causal Discovery for Causal Bandits utilizing Separating Sets. - Sultan Alshamrani, Ahmed Abusnaina, David Mohaisen:
Hiding in Plain Sight: A Measurement and Analysis of Kids' Exposure to Malicious URLs on YouTube. - Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Competitive Ratios for Online Multi-capacity Ridesharing. - Felix Köster, Serhiy Yanchuk, Kathy Lüdge:
Improving Delay Based Reservoir Computing via Eigenvalue Analysis. - Mark P. Blanco, Tze Meng Low, Kyungjoo Kim:
Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU. - Mark P. Blanco, Scott McMillan, Tze Meng Low:
Towards an Objective Metric for the Performance of Exact Triangle Count. - Katrin Erk, Aurélie Herbelot:
How to marry a star: probabilistic constraints for meaning in context. - Richa Varma, Chris Melville, Claudio Pinello, Tuhin Sahai:
Post Quantum Secure Command and Control of Mobile Agents : Inserting quantum-resistant encryption schemes in the Secure Robot Operating System. - Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji:
Type-augmented Relation Prediction in Knowledge Graphs. - Kouame Hermann Kouassi, Deshendran Moodley:
An analysis of deep neural networks for predicting trends in time series data. - Srdjan Lesaja, Xavier-Lewis Palmer:
Brain-Computer Interfaces and the Dangers of Neurocapitalism. - Akash Gupta, Michael T. Lash, Senthil K. Nachimuthu:
Optimal Sepsis Patient Treatment using Human-in-the-loop Artificial Intelligence. - Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang:
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. - Eduardo Abreu, Paola Ferraz, Arthur Miranda do Espírito Santo, Felipe Pereira, L. G. C. Santos, Fabricio S. Sousa:
Recursive formulation and parallel implementation of multiscale mixed methods. - Giovanni Campagna, Sina J. Semnani, Ryan Kearns, Lucas Jun Koba Sato, Monica S. Lam:
State-Machine-Based Dialogue Agents with Few-Shot Contextual Semantic Parsers. - Hossein Memarzadeh Sharifipour, Bardia Yousefi, Xavier P. V. Maldague:
Skeletonization and Reconstruction based on Graph Morphological Transformations. - Esteban Vilca, Liang Zhao:
A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality. - Shuyue Guan, Murray H. Loew:
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. - Toby Walsh:
Strategy Proof Mechanisms for Facility Location at Limited Locations. - Toby Walsh:
Strategy Proof Mechanisms for Facility Location in Euclidean and Manhattan Space. - Minesh Patel, Jeremie S. Kim, Taha Shahroodi, Hasan Hassan, Onur Mutlu:
Bit-Exact ECC Recovery (BEER): Determining DRAM On-Die ECC Functions by Exploiting DRAM Data Retention Characteristics. - Toby Walsh:
Strategy Proof Mechanisms for Facility Location with Capacity Limits. - Xiang Deng, Zhongfei Zhang:
Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks. - Zorica Savanovic, Letterio Galletta, Hugo Torres Vieira:
A type language for message passing component-based systems. 3-24 - Alex Coto, Roberto Guanciale, Emilio Tuosto:
An Abstract Framework for Choreographic Testing. 43-60 - Ugo de'Liguoro, Hernán C. Melgratti, Emilio Tuosto:
Towards Refinable Choreographies. 61-77 - Yanlun Tu, Jianxing Feng, Yang Yang:
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss. - Junnan Li, Caiming Xiong, Steven C. H. Hoi:
MoPro: Webly Supervised Learning with Momentum Prototypes. - Zecheng He, Guangyuan Hu, Ruby B. Lee:
New Models for Understanding and Reasoning about Speculative Execution Attacks. - Yanlin Zhou, George Pu, Xiyao Ma, Xiaolin Li, Dapeng Wu:
Distilled One-Shot Federated Learning. - Albert Cheu, Jonathan R. Ullman:
The Limits of Pan Privacy and Shuffle Privacy for Learning and Estimation. - Pushpendra Rana, Lav R. Varshney:
Planting trees at the right places: Recommending suitable sites for growing trees using algorithm fusion. - Yingying Deng, Fan Tang, Weiming Dong, Haibin Huang, Chongyang Ma, Changsheng Xu:
Arbitrary Video Style Transfer via Multi-Channel Correlation. - Tran Phuong Thao:
Improving Homograph Attack Classification. - Xue Liang, Linjuan Wang, Jifeng Xu, Jianxiang Wang:
The Boundary Element Method of Peridynamics. - Chaoyou Fu, Guoli Wang, Xiang Wu, Qian Zhang, Ran He:
Deep Momentum Uncertainty Hashing. - Aaron Lowe, Svend C. Svendsen, Pankaj K. Agarwal, Lars Arge:
1D and 2D Flow Routing on a Terrain. - Hsuan-Kai Kao, Li Su:
Temporally Guided Music-to-Body-Movement Generation. - Liang Liang, Linhai Ma, Linchen Qian, Jiasong Chen:
An Algorithm to Attack Neural Network Encoder-based Out-Of-Distribution Sample Detector. - Xiyan Fu, Jun Wang, Zhenglu Yang:
Multi-modal Summarization for Video-containing Documents. - Farzeen Munir, Shoaib Azam, Moongu Jeon:
LDNet: End-to-End Lane Detection Approach usinga Dynamic Vision Sensor. - Ruchi Guo, Jiahua Jiang:
Construct Deep Neural Networks Based on Direct Sampling Methods for Solving Electrical Impedance Tomography. - Tran Phuong Thao:
Location-based Behavioral Authentication Using GPS Distance Coherence. - R. Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie:
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis. - Xin Guo, Jia Li, Yifan Zhao:
DanceIt: Music-inspired Dancing Video Synthesis. - Jackson Abascal, Venkatesan Guruswami, Pravesh K. Kothari:
Strongly refuting all semi-random Boolean CSPs. - Shivam Tripathy, Rohan Panicker, Shubh Shrey, Rutvik Naik, S. S. Pachpore:
Voice Controlled Upper Body Exoskeleton: A Development For Industrial Application. - Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu:
Towards Fully 8-bit Integer Inference for the Transformer Model. - Pawan Kumar Singh, Shubham Sinha, Sagnik Pal Chowdhury, Ram Sarkar, Mita Nasipuri:
Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform. - Shuhao Zeng, Hongliang Zhang, Boya Di, Zhu Han, Lingyang Song:
Reconfigurable Intelligent Surface (RIS) Assisted Wireless Coverage Extension: RIS Orientation and Location Optimization. - Jaewoong Choi, Geonho Hwang, Myungjoo Kang:
Discond-VAE: Disentangling Continuous Factors from the Discrete. - Xianqi He, Zirui Li, Xufeng Yin, Jianwei Gong, Cheng Gong:
High-precision target positioning system for unmanned vehicles based on binocular vision. - Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak:
Self-supervised pre-training and contrastive representation learning for multiple-choice video QA. - Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman:
Large-Scale Intelligent Microservices. - Shen Yan, Yang Pen, Shiming Lai, Yu Liu, Maojun Zhang:
Image Retrieval for Structure-from-Motion via Graph Convolutional Network. - Chang Liu, Huichu Zhang, Weinan Zhang, Guanjie Zheng, Yong Yu:
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. - Shao-Yuan Lo, Vishal M. Patel:
MultAV: Multiplicative Adversarial Videos. - Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein:
Certifying Confidence via Randomized Smoothing. - Ori Katz, Roy R. Lederman, Ronen Talmon:
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing. - Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa:
FLAME: Differentially Private Federated Learning in the Shuffle Model. - Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding:
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. - Shayne Longpre, Yi Lu, Christopher DuBois:
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering. - Nhat Tran, Jean Gao:
Layer-stacked Attention for Heterogeneous Network Embedding. - Chun Liu, Cheng Wang, Steven M. Wise, Xingye Yue, Shenggao Zhou:
A positivity-preserving, energy stable and convergent numerical scheme for the Poisson-Nernst-Planck system. - Cheng-Che Lee, Wan-Yi Lin, Yen-Ting Shih, Pei-Yi (Patricia) Kuo, Li Su:
Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts. - Ya Zhang, Mingming Lu, Haifeng Li:
Urban Traffic Flow Forecast Based on FastGCRNN. - Zhen Yang, Bojie Hu, Ambyera Han, Shen Huang, Qi Ju:
Code-switching pre-training for neural machine translation. - Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth:
Quantile-based Iterative Methods for Corrupted Systems of Linear Equations. - Niraj Basnet, Houssam Abbas:
Logical Signal Processing: a Fourier Analysis of Temporal Logic. - Preetum Nakkiran, Yamini Bansal:
Distributional Generalization: A New Kind of Generalization. - Yuqi Meng, Ying Zhao, Zhixiang Li:
An early prediction of covid-19 associated hospitalization surge using deep learning approach. - Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Sunny Raj, Alvaro Velasquez, Laura L. Pullum, Ananthram Swami:
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks. - Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla:
Understanding Effects of Editing Tweets for News Sharing by Media Accounts through a Causal Inference Framework. - Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini:
Few-Shot Unsupervised Continual Learning through Meta-Examples. - Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu:
Online Alternate Generator against Adversarial Attacks. - Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith:
The relationship between dynamic programming and active inference: the discrete, finite-horizon case. - Mariona Coll Ardanuy, Kasra Hosseini, Katherine McDonough, Amrey Krause, Daniel van Strien, Federico Nanni:
A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching. - Yichi Zhang, Zhijian Ou, Huixin Wang, Junlan Feng:
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning. - Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin:
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection. - Kim Hammar, Rolf Stadler:
Finding Effective Security Strategies through Reinforcement Learning and Self-Play. - Damir Vrabac, Akshay Smit, Rebecca Rojansky, Yasodha Natkunam, Ranjana H. Advani, Andrew Y. Ng, Sebastian Fernandez-Pol, Pranav Rajpurkar:
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set. - Thomas Baudel, Manon Verbockhaven, Guillaume Roy, Victoire Cousergue, Rida Laarach:
Addressing Cognitive Biases in Augmented Business Decision Systems. - Youngbin Ro, Yukyung Lee, Pilsung Kang:
Multi^2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT. - Ali Hashemian, Daniel García, Jon Ander Rivera, David Pardo:
Database Generation for Deep Learning Inversion of 2.5D Borehole Electromagnetic Measurements using Refined Isogeometric Analysis. - Sylvain Collet, Jean-François Molinari, Stella Brach:
Variational phase-field continuum model uncovers adhesive wear mechanisms in asperity junctions. - Yutai Hou, Jiafeng Mao, Yongkui Lai, Cheng Chen, Wanxiang Che, Zhigang Chen, Ting Liu:
FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding. - Yiming Wang, Francesco Giuliari, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti:
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments. - Konstantin Avrachenkov, Kishor Patil, Gugan Thoppe:
Online Algorithms for Estimating Change Rates of Web Pages. - Michele Campobasso, Pavlo Burda, Luca Allodi:
CARONTE: Crawling Adversarial Resources Over Non-Trusted, High-Profile Environments. - Paula Ta-Shma, Guy Khazma, Gal Lushi, Oshrit Feder:
Extensible Data Skipping. - Hao Wang:
Does "Fans Economy" Work for Chinese Pop Music Industry? - Yaojie Lu, Hongyu Lin, Jialong Tang, Xianpei Han, Le Sun:
End-to-End Neural Event Coreference Resolution. - Carl Einarson, Gregory Z. Gutin, Bart M. P. Jansen, Diptapriyo Majumdar, Magnus Wahlström:
p-Edge/Vertex-Connected Vertex Cover: Parameterized and Approximation Algorithms. - Jie Peng, Zhaoxian Wu, Qing Ling:
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data. - Ali Hashemian, David Pardo, Victor M. Calo:
Refined isogeometric analysis for generalized Hermitian eigenproblems. - Lukas Enderich, Fabian Timm, Wolfram Burgard:
Holistic Filter Pruning for Efficient Deep Neural Networks. - Yaojie Lu, Annan Li, Hongyu Lin, Xianpei Han, Le Sun:
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling. - Dorit S. Hochbaum, Asaf Levin, Xu Rao:
Algorithms and Complexity for Variants of Covariates Fine Balance. - Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Cristina L. Abad, Alexandru Iosup:
Serverless Applications: Why, When, and How? - Pawel Parys:
Higher-Order Nonemptiness Step by Step. - Aadarsh Singh, Priyanshu Kumar, Aman Sinha:
DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extraction. - John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão:
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient. - Ivan Yu. Mogilnykh, Faina I. Solov'eva:
Coordinate transitivity of extended perfect codes and their SQS. - Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Building power consumption datasets: Survey, taxonomy and future directions. - Sarah Beecham, Tony Clear, Ramesh Lal, John Noll:
Do Scaling Agile Frameworks Address Global Software Development Risks? An Empirical Study. - Thomas Gittings, Steve A. Schneider, John P. Collomosse:
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks. - Lawrence Mandow, José-Luis Pérez-de-la-Cruz, Nicolás Pozas:
Multi-objective dynamic programming with limited precision. - Yiming Zhang, Xueqing Yang, Xiaoying Zhuang:
A micropolar peridynamics model with non-unified horizon for damage of solids with different non-local effects. - Pepa Atanasova, Dustin Wright, Isabelle Augenstein:
Generating Label Cohesive and Well-Formed Adversarial Claims. - Saad Aloteibi, Stephen Clark:
Learning to Personalize for Web Search Sessions. - Keren Censor-Hillel, Victor I. Kolobov, Gregory Schwartzman:
Finding Subgraphs in Highly Dynamic Networks. - Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Efficient multi-descriptor fusion for non-intrusive appliance recognition. - Víctor Mayoral Vilches, Martin Pinzger, Stefan Rass, Bernhard Dieber, Endika Gil-Uriarte:
Can ROS be used securely in industry? Red teaming ROS-Industrial. - Chanjong Im, Junaid Ahmed Ghauri, John Rothman, Thomas Mandl:
Deep Learning Approaches to Classification of Production Technology for 19th Century Books. - Debjit Paria, Krishnakumar, Abhishek Sinha:
Caching in Networks without Regret. - Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Fast and Accurate Sequence Labeling with Approximate Inference Network. - Jonathan Stysch, Andreas Klaedtke, Herbert De Gersem:
Broadband Finite-Element Impedance Computation for Parasitic Extraction. - Chaohao Fu, Hongbin Chen, Na Ruan, Weijia Jia:
Label Smoothing and Adversarial Robustness. - Yonatan Bilu, Shai Gretz, Edo Cohen, Noam Slonim:
What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus. - Gagandeep Singh, Dionysios Diamantopoulos, Christoph Hagleitner, Juan Gómez-Luna, Sander Stuijk, Onur Mutlu, Henk Corporaal:
NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling. - Anyong Qin, Zhaowei Shang, Zhuolin Tan, Taiping Zhang, Yuan Yan Tang:
Learning a Deep Part-based Representation by Preserving Data Distribution. - Mohammad Mousavi, Meng Wu:
A Two-stage Stochastic Programming DSO Framework for Comprehensive Market Participation of DER Aggregators under Uncertainty. - Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An:
Parallax Attention for Unsupervised Stereo Correspondence Learning. - Sumesh Thakur, Jiju Peethambaran:
Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection. - Fangneng Zhan, Shijian Lu, Changgong Zhang, Feiying Ma, Xuansong Xie:
Adversarial Image Composition with Auxiliary Illumination. - Ieva Staliunaite, Ignacio Iacobacci:
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA. - Wele Gedara Chaminda Bandara, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, Janaka B. Ekanayake:
Coordinated PV re-phasing: a novel method to maximize renewable energy integration in LV networks by mitigating network unbalances. - Wenhao Li, Ningyuan Chen, L. Jeff Hong:
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection. - Sébastien Bubeck, Niv Buchbinder, Christian Coester, Mark Sellke:
Metrical Service Systems with Transformations. - Saloni Dash, Amit Sharma:
Counterfactual Generation and Fairness Evaluation Using Adversarially Learned Inference. - Vincent Schellekens, Laurent Jacques:
When compressive learning fails: blame the decoder or the sketch? - Liangming Chen, Long Jin, Xiujuan Du, Shuai Li, Mei Liu:
Deforming the Loss Surface to Affect the Behaviour of the Optimizer. - Randall Claywell, László Nádai, Imre Felde, Amir Mosavi:
Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction. - David Albarracín Molina, Jesús Hormigo Cebolla:
Video based real-time positional tracker. - Camila Faccini de Lima, Juliano Ferrari Gianlupi, John Metzcar, Juliette Zerick:
Accelerated solving of coupled, non-linear ODEs through LSTM-AI. - Gary P. T. Choi:
Efficient conformal parameterization of multiply-connected surfaces using quasi-conformal theory. - Michael Lyons, Kazunori Morikawa:
A Linked Aggregate Code for Processing Faces (Revised Version). - Federico Paredes-Vallés, Guido C. H. E. de Croon:
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy. - Lei Zhang:
A numerical approach for hybrid reliability analysis of structures under mixed uncertainties using the uncertainty theory. - Mohak Chadha, Jophin John, Michael Gerndt:
Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling. - Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Jörg Stückler:
Learning to Identify Physical Parameters from Video Using Differentiable Physics. - Matei Grama, Maria Musat, Luis Muñoz-González, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary:
Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare. - James Morrill, Patrick Kidger, Cristopher Salvi, James Foster, Terry J. Lyons:
Neural CDEs for Long Time Series via the Log-ODE Method. - Anyong Qin, Lina Xian, Yongliang Yang, Taiping Zhang, Yuan Yan Tang:
Low-Rank Matrix Recovery from Noisy via an MDL Framework-based Atomic Norm. - Pallavi Bagga, Nicola Paoletti, Kostas Stathis:
Learnable Strategies for Bilateral Agent Negotiation over Multiple Issues. - Christopher Thron, Khoi Tran, Joseph Raquepas:
High Performance Low Complexity Multitarget Tracking Filter for a Array of Non-directional Sensors. - Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao:
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation. - María Óskarsdóttir, Waqas Ahmed, Katrien Antonio, Bart Baesens, Rémi Dendievel, Tom Donas, Tom Reynkens:
Social network analytics for supervised fraud detection in insurance. - Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin:
Decoupling Representation Learning from Reinforcement Learning. - Sjoerd Dirksen, Alexander Stollenwerk:
Binarized Johnson-Lindenstrauss embeddings. - Hoang-An Le, Thomas Mensink, Partha Das, Theo Gevers:
Novel View Synthesis from Single Images via Point Cloud Transformation. - Naomi A. Arnold, Benjamin A. Steer, Imane Hafnaoui, Hugo A. Parada G., Raul J. Mondragón, Félix Cuadrado, Richard G. Clegg:
Moving with the Times: Investigating the Alt-Right Network Gab with Temporal Interaction Graphs. - Fahad Sarfraz, Elahe Arani, Bahram Zonooz:
Noisy Concurrent Training for Efficient Learning under Label Noise. - Abolfazl Taghribi, Kerstin Bunte, Rory Smith, Jihye Shin, Michele Mastropietro, Reynier F. Peletier, Peter Tiño:
LAAT: Locally Aligned Ant Technique for detecting manifolds of varying density. - Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing. - Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
More Embeddings, Better Sequence Labelers? - Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi:
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. - Hubie Chen, Bart M. P. Jansen, Karolina Okrasa, Astrid Pieterse, Pawel Rzazewski:
Sparsification Lower Bounds for List H-Coloring. - Aaron Bembenek, Michael Greenberg, Stephen Chong:
Formulog: Datalog for SMT-Based Static Analysis (Extended Version). - Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. - Sebastian Florez, Karen Alvarado, Marc Bernacki:
A new front-tracking Lagrangian model for the modeling of dynamic and post-dynamic recrystallization. - G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Face Mask Detection using Transfer Learning of InceptionV3. - Nils Eckstein, Julia M. Buhmann, Matthew Cook, Jan Funke:
Microtubule Tracking in Electron Microscopy Volumes. - Melanie Sclar, Gastón Bujia, Sebastián Vita, Guillermo Solovey, Juan E. Kamienkowski:
Modeling human visual search: A combined Bayesian searcher and saliency map approach for eye movement guidance in natural scenes. - Chaomei Chen:
A Glimpse of the First Eight Months of the COVID-19 Literature on Microsoft Academic Graph: Themes, Citation Contexts, and Uncertainties. - Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Evaluating Interactive Summarization: an Expansion-Based Framework. - Hadi Mansourifar, Weidong Shi:
Towards Stable Imbalanced Data Classification via Virtual Big Data Projection. - George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis:
United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting. - Julio-Omar Palacio-Niño:
Detección de comunidades en redes: Algoritmos y aplicaciones. - Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic:
Impact and dynamics of hate and counter speech online. - Tariq Habib Afridi, Aftab Alam, Muhammad Numan Khan, Jawad Khan, Young-Koo Lee:
A Multimodal Memes Classification: A Survey and Open Research Issues. - Davide Berardi, Franco Callegati, Andrea Melis, Marco Prandini:
Password similarity using probabilistic data structures. - Roy Eliya, J. Michael Herrmann:
Evolutionary Selective Imitation: Interpretable Agents by Imitation Learning Without a Demonstrator. - Konstantin Klemmer, Godwin Yeboah, João Porto de Albuquerque, Stephen A. Jarvis:
Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth. - Neeraj Sarna, Jan Giesselmann, Peter Benner:
Data-Driven Snapshot Calibration via Monotonic Feature Matching. - Jakub Lacki, Yasamin Nazari:
Near-Optimal Decremental Approximate Multi-Source Shortest Paths. - Jonne Pohjankukka, Sakari Tuominen, Jukka Heikkonen:
Utilizing remote sensing data in forest inventory sampling via Bayesian optimization. - Noel M. Naughton, Jiarui Sun, Arman Tekinalp, Girish Chowdhary, Mattia Gazzola:
Elastica: A compliant mechanics environment for soft robotic control. - Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell:
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. - Iulia Duta, Andrei Liviu Nicolicioiu:
Dynamic Regions Graph Neural Networks for Spatio-Temporal Reasoning. - Ramin Nabati, Hairong Qi:
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles. - Youwei Liang, Dong Huang:
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness. - Yaohua Wang, Lois Orosa, Xiangjun Peng, Yang Guo, Saugata Ghose, Minesh Patel, Jeremie S. Kim, Juan Gómez-Luna, Mohammad Sadrosadati, Nika Mansouri-Ghiasi, Onur Mutlu:
FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching. - Szymon Brych, Antoine Cully:
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations. - Ashish Sharma, Adam S. Miner, David C. Atkins, Tim Althoff:
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support. - Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum:
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. - Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian:
Coordinate Methods for Matrix Games. - Ilia Sucholutsky, Matthias Schonlau:
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples. - Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi:
MStream: Fast Streaming Multi-Aspect Group Anomaly Detection. - Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Real-Time Streaming Anomaly Detection in Dynamic Graphs. - Zhiqiang Shen, Marios Savvides:
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. - Siddharth Bhatia, Arjit Jain, Bryan Hooi:
ExGAN: Adversarial Generation of Extreme Samples. - Zack Ellerby, Christian Wagner, Stephen B. Broomell:
Capturing Individuals' Uncertainties-On Establishing the Validity of an Interval-Valued Survey Response Mode. - Baihan Lin:
Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward. - Ling Luo, Shankai Yan, Po-Ting Lai, Daniel Veltri, Andrew J. Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu:
PhenoTagger: A Hybrid Method for Phenotype Concept Recognition using Human Phenotype Ontology. - Julia Chuzhoy, Thatchaphol Saranurak:
Deterministic Algorithms for Decremental Shortest Paths via Layered Core Decomposition. - Sai Munikoti, Mohammad Abujubbeh, Kumarsinh Jhala, Balasubramaniam Natarajan:
Spatio-Temporal Probabilistic Voltage Sensitivity Analysis (ST-PVSA)-A Novel Framework for Hosting Capacity Analysis. - Mujahid Sultan, Dodi Imbuido, Kam Patel, James MacDonald, Kumar Ratnam:
Designing knowledge plane to optimize leaf and spine data center. - Robert C. Kirby, Andreas Klöckner, Ben Sepanski:
Finite elements for Helmholtz equations with a nonlocal boundary condition. - Shu Sun, Sungho Moon, Jong-Kae Fwu:
Practical Link Adaptation Algorithm with Power Density Offsets for 5G Uplink Channels. - Paula Olaya, Jay F. Lofstead, Michela Taufer:
Building Containerized Environments for Reproducibility and Traceability of Scientific Workflows. - Lorijn Zaadnoordijk, Tarek R. Besold, Rhodri Cusack:
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning. - Xuan Chen, Zifan Wang, Yucai Fan, Bonan Jin, Piotr Mardziel, Carlee Joe-Wong, Anupam Datta:
Towards Behavior-Level Explanation for Deep Reinforcement Learning. - Kouame Hermann Kouassi, Deshendran Moodley:
Automatic deep learning for trend prediction in time series data. - Sudipta Banerjee, Arun Ross:
Smartphone Camera De-identification while Preserving Biometric Utility. - Ke-Wen Huang, Hui-Ming Wang:
Intelligent Reflecting Surface Aided Pilot Contamination Attack and Its Countermeasure. - Prem Devanbu, Matthew B. Dwyer, Sebastian G. Elbaum, Michael Lowry, Kevin Moran, Denys Poshyvanyk, Baishakhi Ray, Rishabh Singh, Xiangyu Zhang:
Deep Learning & Software Engineering: State of Research and Future Directions. - Ran Zhang, Miao Wang, Lin X. Cai:
SREC: Proactive Self-Remedy of Energy-Constrained UAV-Based Networks via Deep Reinforcement Learning. - T. A. J. Ouermi, Robert M. Kirby, Martin Berzins:
Numerical Testing of a New Positivity-Preserving Interpolation Algorithm. - Xiu Ye, Shangyou Zhang:
A stabilizer free weak Galerkin finite element method on polytopal mesh: Part III. - Andrew Dempsey, Peter Moeck:
Objective, Probabilistic, and Generalized Noise Level Dependent Classifications of sets of more or less 2D Periodic Images into Plane Symmetry Groups. - Furkan Ercan, Thibaud Tonnellier, Nghia Doan, Warren J. Gross:
Practical Dynamic SC-Flip Polar Decoders: Algorithm and Implementation. - Liang Qiu, Yizhou Zhao, Weiyan Shi, Yuan Liang, Feng Shi, Tao Yuan, Zhou Yu, Song-Chun Zhu:
Structured Attention for Unsupervised Dialogue Structure Induction. - Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-domain Question Answering. - Ben Adcock, Nick C. Dexter, Qinghong Xu:
Improved recovery guarantees and sampling strategies for TV minimization in compressive imaging. - Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier:
On Primes, Log-Loss Scores and (No) Privacy. - Li Zhang, Huaiyu Zhu, Siddhartha Brahma, Yunyao Li:
Small but Mighty: New Benchmarks for Split and Rephrase. - Anders Høst-Madsen:
Bounds for Learning Lossless Source Coding. - Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. - Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler:
Linear Convergence and Implicit Regularization of Generalized Mirror Descent with Time-Dependent Mirrors. - Daniel M. Kane, Scott Duke Kominers:
Prisoners, Rooms, and Lightswitches. - Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin:
Pruning Neural Networks at Initialization: Why are We Missing the Mark? - Tim D. Barfoot, Jessica Burgner-Kahrs, Eric D. Diller, Animesh Garg, Andrew A. Goldenberg, Jonathan Kelly, Xinyu Liu, Hani E. Naguib, Goldie Nejat, Angela P. Schoellig, Florian Shkurti, Hallie Siegel, Yu Sun, Steven L. Waslander:
Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors. - Rodolfo Anibal Lobo, Marcos Eduardo Valle:
Ensemble of Binary Classifiers Combined Using Recurrent Correlation Associative Memories. - William Barnhart, Zhi Tian:
The Capacity of Multi-user Private Information Retrieval for Computationally Limited Databases. - Ting-Han Fan, Peter J. Ramadge:
A Contraction Approach to Model-based Reinforcement Learning. - Masashi Kiyomi, Takashi Horiyama, Yota Otachi:
Longest Common Subsequence in Sublinear Space. - Kumud Chauhan:
NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative. - Zhenyu Weng, Yuesheng Zhu, Ruixin Liu:
Accelerating Search on Binary Codes in Weighted Hamming Space. - Guokun Lai, Zihang Dai, Yiming Yang:
Unsupervised Parallel Corpus Mining on Web Data. - Wenhan Wang, Sijie Shen, Ge Li, Zhi Jin:
Towards Full-line Code Completion with Neural Language Models. - Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu, Xin Geng:
Compact Learning for Multi-Label Classification. - Kaihong Wang, Chenhongyi Yang, Margrit Betke:
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation. - Jaeseong Jeong, Namhun Koo, Soonhak Kwon:
On the Boomerang Uniformity of Permutations of Low Carlitz Rank. - Jie Wu, Guanbin Li, Xiaoguang Han, Liang Lin:
Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos. - Yi Yu, Abhishek Srivastava, Rajiv Ratn Shah:
Conditional Hybrid GAN for Sequence Generation. - Yahav Avigal, Samuel Paradis, Harry Zhang:
6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN. - Mingwei Zhang, Jiawei Zhao, Hai Dong, Ke Deng, Ying Liu:
A Knowledge Graph based Approach for Mobile Application Recommendation. - Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic:
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. - Efstathios Bakolas, Yoonjae Lee:
Decentralized Game-Theoretic Control for Dynamic Task Allocation Problems for Multi-Agent Systems. - Dmitry Zinoviev:
A Social Network of Russian "Kompromat". - Sid Chi-Kin Chau, Khaled M. Elbassioni, Yue Zhou:
Approximately Socially-Optimal Decentralized Coalition Formation. - Zhichao Geng, Hang Yan, Xipeng Qiu, Xuanjing Huang:
fastHan: A BERT-based Joint Many-Task Toolkit for Chinese NLP. - Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu:
On the Tractability of SHAP Explanations. - Jihyeon Roh, Huiseong Gim, Soo-Young Lee:
Hierarchical GPT with Congruent Transformers for Multi-Sentence Language Models. - Wei Liu, Rüdiger L. Urbanke:
The Stability of Low-Density Parity-Check Codes and Some of Its Consequences. - Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Luo Mai, Hao Dong:
RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library. - Saumya Borwankar, Dhruv Shah:
Low Density Parity Check Code (LDPC Codes) Overview. - Rahim Rahmani, Ramin Firouzi:
Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent Internet of Things. - Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga:
Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions. - Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub:
Performance Monitoring of Object Detection During Deployment. - Zhaochong An, Bozhou Chen, Houde Quan, Qihui Lin, Hongzhi Wang:
EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective. - Bowen Yi, Ruigang Wang, Ian R. Manchester:
On necessary conditions of tracking control for nonlinear systems via contraction analysis. - Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan:
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. - Yann Traonmilin, Jean-François Aujol, Arthur Leclaire:
The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension. - Deepak Keshwani, Yoshiro Kitamura, Satoshi Ihara, Satoshi Iizuka, Edgar Simo-Serra:
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling. - Chaofeng Chen, Xiao Tan, Kwan-Yee K. Wong:
Face Sketch Synthesis with Style Transfer using Pyramid Column Feature. - Georg Maringer, Sven Puchinger, Antonia Wachter-Zeh:
Higher Rates and Information-Theoretic Analysis for the RLWE Channel. - Yu-Sheng Lin, Hung Chang Lu, Yang-Bin Tsao, Yi-Min Chih, Wei-Chao Chen, Shao-Yi Chien:
GrateTile: Efficient Sparse Tensor Tiling for CNN Processing. - Xiangrui Xu, Yaqin Li, Cao Yuan:
Conditional Image Generation with One-Vs-All Classifier. - Satoshi Iizuka, Edgar Simo-Serra:
DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement. - Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart:
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network. - Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu:
Searching for Low-Bit Weights in Quantized Neural Networks. - Alejandro Estaben, César Díaz, Raúl Montoliu, Diego Pérez-Liébana:
TotalBotWar: A New Pseudo Real-time Multi-action Game Challenge and Competition for AI. - Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu:
The Hidden Vulnerability of Watermarking for Deep Neural Networks. - Marc Ortiz, Florian Scheidegger, Marc Casas, A. Cristiano I. Malossi, Eduard Ayguadé:
Generating Efficient DNN-Ensembles with Evolutionary Computation. - Edward McDaid, Sarah McDaid:
A Visual Language for Composable Inductive Programming. - Alejandro Peña, Julian Fiérrez, Àgata Lapedriza, Aythami Morales:
Learning Emotional-Blinded Face Representations. - Chaofeng Chen, Xiaoming Li, Lingbo Yang, Xianhui Lin, Lei Zhang, Kwan-Yee K. Wong:
Progressive Semantic-Aware Style Transformation for Blind Face Restoration. - Stefan Daniel Dumitrescu, Andrei-Marius Avram, Sampo Pyysalo:
The birth of Romanian BERT. - Zhengjie Yang, Wei Bao, Dong Yuan, Nguyen Hoang Tran, Albert Y. Zomaya:
Federated Learning with Nesterov Accelerated Gradient Momentum Method. - Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia:
Contextual Semantic Interpretability. - Youngseok Jang, Hojoon Shin, H. Jin Kim:
Pose Correction Algorithm for Relative Frames between Keyframes in SLAM. - Chang-Ock Lee, Eun-Hee Park, Jongho Park:
Correction to: A dual iterative substructuring method with a small penalty parameter. - Yao Lei Xu, Danilo P. Mandic:
Recurrent Graph Tensor Networks. - Ruoxin Chen, Jie Li, Chentao Wu, Bin Sheng, Ping Li:
A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks. - Haram Kim, Pyojin Kim, H. Jin Kim:
Moving object detection for visual odometry in a dynamic environment based on occlusion accumulation. - Yan Hong, Li Niu, Jianfu Zhang, Jing Liang, Liqing Zhang:
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta. - Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Revisiting Consensus-Based Energy-Management in Smart Grid with Transmission Losses and Directed Communication. - Elena Stoll, Dietrich Kammer:
Online Knowledge Base for Designing Shape-changing Interfaces using Modular Workshop Elements. - Aditya Narayan Ravi, Sibi Raj B. Pillai, Vinod M. Prabhakaran, Michèle A. Wigger:
On the Capacity Enlargement of Gaussian Broadcast Channels with Passive Noisy Feedback. - Alexander Lochmann, Robin Thunig, Horst Schirmeier:
Improving Linux-Kernel Tests for LockDoc with Feedback-driven Fuzzing. - André Trindade, João Mota, António Ravara:
Typestates to Automata and back: a tool. 25-42 - Daniel Neider, Bishwamittra Ghosh:
Probably Approximately Correct Explanations of Machine Learning Models via Syntax-Guided Synthesis. - Jens Hiller, Johanna Amann, Oliver Hohlfeld:
The Boon and Bane of Cross-Signing: Shedding Light on a Common Practice in Public Key Infrastructures. - Shu Jiang, Hai Zhao, Zuchao Li, Bao-Liang Lu:
Document-level Neural Machine Translation with Document Embeddings. - Mariela Morveli Espinoza, Juan Carlos Nieves, Ayslan Trevizan Possebom, Cesar Augusto Tacla:
Dealing with Incompatibilities among Procedural Goals under Uncertainty. - Qiyao Peng, Fred J. Vermolen:
Numerical Methods to Compute Stresses and Displacements from Cellular Forces: Application to the Contraction of Tissue. - Kenji Nakagawa, Yoshinori Takei, Shin-ichiro Hara, Kohei Watabe:
Analysis of the Convergence Speed of the Arimoto-Blahut Algorithm by the Second Order Recurrence Formula. - Piyush Bagad, Aman Dalmia, Jigar Doshi, Arsha Nagrani, Parag Bhamare, Amrita Mahale, Saurabh Rane, Neeraj Agarwal, Rahul Panicker:
Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds. - Julie Bu Daher, Armelle Brun, Anne Boyer:
Multi-source Data Mining for e-Learning. - Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens:
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. - Qiyao Peng, Fred J. Vermolen:
Point Forces in Elasticity Equation and Their Alternatives in Multi Dimensions. - Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
σ2R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions. - Pablo Olivares, Ciro Díaz:
A Finite Elements Strategy for Spread Contract Valuation Via Associated PIDE. - Marco Anteghini, Jennifer D'Souza, Vítor A. P. Martins dos Santos, Sören Auer:
SciBERT-based Semantification of Bioassays in the Open Research Knowledge Graph. - Matteo Giacomini, Rubén Sevilla, Antonio Huerta:
HDGlab: An open-source implementation of the hybridisable discontinuous Galerkin method in MATLAB. - Esther Galby, Felix Mann, Bernard Ries:
Blocking total dominating sets via edge contractions. - Kunal Srivastava, Amit Surana:
Monte Carlo Tree Search Based Tactical Maneuvering. - Hengjia Wei, Moshe Schwartz:
Improved Coding over Sets for DNA-Based Data Storage. - Hossein Amirkhani, Mohammad AzariJafari, Zohreh Pourjafari, Soroush Faridan-Jahromi, Zeinab Kouhkan, Azadeh Amirak:
FarsTail: A Persian Natural Language Inference Dataset. - Yingying Wang, Hu Cheng, Max Q.-H. Meng:
Pedestrian Motion Tracking by Using Inertial Sensors on the Smartphone. - Wonchul Son, Jaemin Na, Wonjun Hwang:
Densely Guided Knowledge Distillation using Multiple Teacher Assistants. - Yasuaki Kobayashi, Kazuhiro Kurita, Kunihiro Wasa:
Efficient Constant-Factor Approximate Enumeration of Minimal Subsets for Monotone Properties with Cardinality Constraints. - David C. Schedl, Indrajit Kurmi, Oliver Bimber:
Search and Rescue with Airborne Optical Sectioning. - Alejandro Suárez-Hernández, Thierry Gaugry, Javier Segovia-Aguas, Antonin Bernardin, Carme Torras, Maud Marchal, Guillem Alenyà:
Leveraging Multiple Environments for Learning and Decision Making: a Dismantling Use Case. - Neri Merhav:
On More General Distributions of Random Binning for Slepian-Wolf Encoding. - János Végh, Ádám József Berki:
On the spatiotemporal behavior in biology-mimicking computing systems. - Solon Falas, Charalambos Konstantinou, Maria K. Michael:
Physics-Informed Neural Networks for Securing Water Distribution Systems. - Ulrich Brenner, Anna Hermann:
Delay Optimization of Combinational Logic by And-Or Path Restructuring. - Daniel Vitor Ruiz, Bruno A. Krinski, Eduardo Todt:
IDA: Improved Data Augmentation Applied to Salient Object Detection. - Talley Amir, James Aspnes, John Lazarsfeld:
Approximate Majority With Catalytic Inputs. - Yang He, Bernt Schiele, Mario Fritz:
Synthetic Convolutional Features for Improved Semantic Segmentation. - Suhwan Cho, Heansung Lee, Sungmin Woo, Sungjun Jang, Sangyoun Lee:
PMVOS: Pixel-Level Matching-Based Video Object Segmentation. - Simón C. Smith, Subramanian Ramamoorthy:
Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control. - Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes:
Principal Components of the Meaning. - Ronny Tredup, Evgeny Erofeev:
On the Parameterized Complexity of Synthesizing Boolean Petri Nets With Restricted Dependency. 78-95 - Raymond van Venetië, Jan Westerdiep:
A scalable algorithm for solving linear parabolic evolution equations. - Shihong Fang, Anna Choromanska:
Multi-modal Experts Network for Autonomous Driving. - Jakob Struye, Kevin Mets, Steven Latré:
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory. - Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate. - Minhui Jin, Mengce Zheng, Honggang Hu, Nenghai Yu:
An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization. - Dhomas Hatta Fudholi, Yurio Windiatmoko, Nurdi Afrianto, Prastyo Eko Susanto, Magfirah Suyuti, Ahmad Fathan Hidayatullah, Ridho Rahmadi:
Image Captioning with Attention for Smart Local Tourism using EfficientNet. - Mehak Gupta, Rahmatollah Beheshti:
Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks. - Abhishek Banerjee, Uttaran Bhattacharya, Aniket Bera:
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders. - Tzu-Han Hsu, César Sánchez, Borzoo Bonakdarpour:
Bounded Model Checking for Hyperproperties. - Soham Chattopadhyay, Arijit Dey, Hritam Basak:
Optimizing Speech Emotion Recognition using Manta-Ray Based Feature Selection. - Akshay Dhumal, Dharanipragada Janakiram:
C-Balancer: A System for Container Profiling and Scheduling. - Haoming Lu, Humphrey Shi:
Deep Learning for 3D Point Cloud Understanding: A Survey. - Yexin Yan, Terrence C. Stewart, Xuan Choo, Bernhard Vogginger, Johannes Partzsch, Sebastian Höppner, Florian Kelber, Chris Eliasmith, Steve B. Furber, Christian Mayr:
Low-Power Low-Latency Keyword Spotting and Adaptive Control with a SpiNNaker 2 Prototype and Comparison with Loihi. - James Goodman, Sebastian Risi, Simon Lucas:
AI and Wargaming. - Liuyue Xie, Tomotake Furuhata, Kenji Shimada:
Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation. - Satyaki Sikdar, Daniel Gonzalez Cedre, Trenton Ford, Tim Weninger:
The Infinity Mirror Test for Graph Models. - Keshav Ganapathy:
A Study of Genetic Algorithms for Hyperparameter Optimization of Neural Networks in Machine Translation. - Michal Witold Przewozniczek, Piotr Dziurzanski, Shuai Zhao, Leandro Soares Indrusiak:
Multi-Objective Parameter-less Population Pyramid for Solving Industrial Process Planning Problems. - Stevão Alves de Andrade, Fátima L. S. Nunes, Márcio E. Delamaro:
Towards the Systematic Testing of Virtual Reality Programs (extended version). - Parth Mahendra:
Spatio-Temporal Activation Function To Map Complex Dynamical Systems. - Ajay M. Patrikar:
Multi-Activation Hidden Units for Neural Networks with Random Weights. - Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity. - Yong-Liang Xiao:
Unitary Learning for Deep Diffractive Neural Network. - Majdi I. Radaideh, Koroush Shirvan:
Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay. - Hassan A. Sial, Ramon Baldrich, María Vanrell, Dimitris Samaras:
Light Direction and Color Estimation from Single Image with Deep Regression. - Tuhin Chakrabarty, Smaranda Muresan, Nanyun Peng:
Generating similes like a Pro: A Style Transfer Approach for Simile Generation. - Markus Viljanen, Jukka Vahlo, Aki Koponen, Tapio Pahikkala:
Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting. - Haihua Chen:
A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section. - Yafei Xu, Tian Xie, Yu Zhang:
Boosting Retailer Revenue by Generated Optimized Combined Multiple Digital Marketing Campaigns. - Karthik Raja Kalaiselvi Bhaskar, Deepa Kundur, Yuri A. Lawryshyn:
Implicit Feedback Deep Collaborative Filtering Product Recommendation System. - Charles Dickens, Rishika Singh, Lise Getoor:
HyperFair: A Soft Approach to Integrating Fairness Criteria. - Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds:
Neural Fair Collaborative Filtering. - Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus:
Exploration in two-stage recommender systems. - Sheng-Chieh Lin, Ting-Wei Lin, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang:
Personalized TV Recommendation: Fusing User Behavior and Preferences. - Olegs Verhodubs:
Keyword Search Engine Enriched by Expert System Features. - Meimei Liu, Hongxia Yang:
DVE: Dynamic Variational Embeddings with Applications in Recommender Systems. - Tze Siong Lau, Wee Peng Tay:
Quickest Change Detection with Privacy Constraint. - Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein:
Prepare for the Worst: Generalizing across Domain Shifts with Adversarial Batch Normalization. - Sarah Tymochko, Elizabeth Munch, Firas A. Khasawneh:
Using Zigzag Persistent Homology to Detect Hopf Bifurcations in Dynamical Systems. - Lin Shao, Yifan You, Mengyuan Yan, Qingyun Sun, Jeannette Bohg:
GRAC: Self-Guided and Self-Regularized Actor-Critic. - Saeed R. Khosravirad, Harish Viswanathan, Wei Yu:
Exploiting Diversity for Ultra-Reliable and Low-Latency Wireless Control. - Byungsoo Kim, Hongseok Suh, Jaewe Heo, Youngduck Choi:
AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement. - Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. - Arman Garakani, Martin Malmstedt-Miller, Ionela Manole, Adrian Y. Rossler, John R. Zibert:
Psoriasis Severity Assessment with a Similarity-Clustering Machine Learning Approach Reduces Intra- and Inter-observation variation. - Vidya A. Chhabria, Vipul Ahuja, Ashwath Prabhu, Nikhil Patil, Palkesh Jain, Sachin S. Sapatnekar:
Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks. - Mario Di Mauro, Giovanni Galatro, Antonio Liotta:
Experimental Review of Neural-based approaches for Network Intrusion Management. - Dominik Machácek, Ondrej Bojar:
Presenting Simultaneous Translation in Limited Space. - Mahmoud Alfadel, Diego Elias Costa, Mouafak Mkhallalati, Emad Shihab, Bram Adams:
On the Threat of npm Vulnerable Dependencies in Node.js Applications. - Zhaojun Bai, Ren-Cang Li, Ding Lu:
Optimal Convergence Rate of Self-Consistent Field Iteration for Solving Eigenvector-dependent Nonlinear Eigenvalue Problems. - Ricardo Rei, Craig Stewart, Ana C. Farinha, Alon Lavie:
COMET: A Neural Framework for MT Evaluation. - Yao Zhou, Jun Wu, Jingrui He:
Robust Decentralized Learning for Neural Networks. - Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Yann Busnel:
Probabilistically Sampled and Spectrally Clustered Plant Genotypes using Phenotypic Characteristics. - Rahul Arora, Karan Singh:
Mid-Air Drawing of Curves on 3D Surfaces in AR/VR. - YooJung Choi, Meihua Dang, Guy Van den Broeck:
Group Fairness by Probabilistic Modeling with Latent Fair Decisions. - Paul Schmitt, Barath Raghavan:
Pretty Good Phone Privacy. - Robert J. Moss:
Cross-Entropy Method Variants for Optimization. - Richard Savery, Lisa Zahray, Gil Weinberg:
Emotional Musical Prosody for the Enhancement of Trust in Robotic Arm Communication. - Jesse Josua Benjamin, Claudia Müller-Birn, Simon Razniewski:
Examining the Impact of Algorithm Awareness on Wikidata's Recommender System Recoin. - Ian Fox, Joyce M. Lee, Rodica Pop-Busui, Jenna Wiens:
Deep Reinforcement Learning for Closed-Loop Blood Glucose Control. - Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Zhiwei Steven Wu:
Private Reinforcement Learning with PAC and Regret Guarantees. - Mahmood Jasim, Pooya Khaloo, Somin Wadhwa, Amy X. Zhang, Ali Sarvghad, Narges Mahyar:
CommunityClick: Capturing and Reporting Community Feedback from Town Halls to Improve Inclusivity. - Shadi Haddad, Kenneth F. Caluya, Abhishek Halder, Baljeet Singh:
Prediction and Optimal Feedback Steering of Probability Density Functions for Safe Automated Driving. - Akash Sridhar, Nursultan Kabylkas, Jose Renau:
Load Driven Branch Predictor (LDBP). - Tapan Pathak, Vatsal Patel, Sarth Kanani, Shailesh Arya, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
A Distributed Framework to Orchestrate Video Analytics Applications. - Awad Abdelhalim, Montasir Abbas:
Vehicle Class, Speed, and Roadway Geometry Based Driver Behavior Identification and Classification. - Antoine Mazières, Telmo L. T. Menezes, Camille Roth:
Computational appraisal of gender representativeness in popular movies. - Norbert Bátfai:
Hacking with God: a Common Programming Language of Robopsychology and Robophilosophy. - Vaibhav Sourirajan, Anas Belouali, Mary Ann Dutton, Matthew J. Reinhard, Jyotishman Pathak:
A Machine Learning Approach to Detect Suicidal Ideation in US Veterans Based on Acoustic and Linguistic Features of Speech. - Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Johannes Lederer, Heinz Leitgöb, Markus Pauly, Ansgar Steland, Adalbert F. X. Wilhelm, Tim Friede:
Is there a role for statistics in artificial intelligence? - Saurabh Mishra, Jack Clark, C. Raymond Perrault:
Measurement in AI Policy: Opportunities and Challenges. - Blake VanBerlo, Matthew A. S. Ross, Jonathan Rivard, Ryan Booker:
Interpretable Machine Learning Approaches to Prediction of Chronic Homelessness. - Jungwoo Cho, Yu Yol Shin, Seyun Kim, Namwoo Kim, Soohwan Oh, Haechan Cho, Yoonjin Yoon:
Running the COVID-19 marathon: the behavioral adaptations in mobility and facemask over 27 weeks of pandemic in Seoul, South Korea. - Rachel Grotheer, Yihuan Huang, Pengyu Li, Elizaveta Rebrova, Deanna Needell, Longxiu Huang, Alona Kryshchenko, Xia Li, Kyung Ha, Oleksandr Kryshchenko:
COVID-19 Literature Topic-Based Search via Hierarchical NMF. - Juan Carlos Olivares Rojas, Enrique Reyes-Archundia, José Antonio Gutiérrez Gnecchi, Ismael Molina-Moreno:
A Survey on Smart Metering Systems using Blockchain for E-Mobility. - Anis Zaman, Boyu Zhang, Ehsan Hoque, Vincent Silenzio, Henry A. Kautz:
The Relationship between Deteriorating Mental Health Conditions and Longitudinal Behavioral Changes in Google and YouTube Usages among College Students in the United States during COVID-19: Observational Study. - Sung-Jin Kim, Zachary A. Myers, Steven Herbst, ByongChan Lim, Mark Horowitz:
Open-Source Synthesizable Analog Blocks for High-Speed Link Designs: 20-GS/s 5b ENOB Analog-to-Digital Converter and 5-GHz Phase Interpolator. - Tharindu Bandaragoda:
Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning. - J. Gerard Wolff:
Problems in AI research and how the SP System may help to solve them. - Robin Couret, Carole Adam, Martial Mermillod:
Modelling risk-taking behaviour of avalanche accident victims. - Jingyue Zhao, Nicoletta Risi, Marco Monforte, Chiara Bartolozzi, Giacomo Indiveri, Elisa Donati:
Closed-loop spiking control on a neuromorphic processor implemented on the iCub. - Kristína Zákopcanová, Marko Rehácek, Jozef Bátrna, Daniel Plakinger, Sergej Stoppel, Barbora Kozlíková:
Visilant: Visual Support for the Exploration and Analytical Process Tracking in Criminal Investigations. - Martin Molina:
What is an intelligent system? - Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana:
Intimate Partner Violence and Injury Prediction From Radiology Reports. - Maulik R. Kamdar, Michael Carroll, Will Dowling, Linda Wogulis, Cailey Fitzgerald, Matt Corkum, Danielle Walsh, David Conrad, Craig E. Stanley Jr., Steve Ross, Dru Henke, Mevan Samarasinghe:
Focused Clinical Query Understanding and Retrieval of Medical Snippets powered through a Healthcare Knowledge Graph. - Joshua Vendrow, Jamie Haddock, Deanna Needell, Lorraine Johnson:
Feature Selection on Lyme Disease Patient Survey Data. - Rudresh Mishra, Ricardo Rodriguez, Valentin Portillo:
An AI based talent acquisition and benchmarking for job. - Gururaj Saileshwar, Moinuddin K. Qureshi:
MIRAGE: Mitigating Conflict-Based Cache Attacks with a Practical Fully-Associative Design. - Ozan Ozyegen, Igor Ilic, Mucahit Cevik:
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting. - Runsheng Xu, Faezeh Tafazzoli, Li Zhang, Timo Rehfeld, Gunther Krehl, Arunava Seal:
Holistic Grid Fusion Based Stop Line Estimation. - Jawad Haj-Yahya, Mohammed Alser, Jeremie S. Kim, Lois Orosa, Efraim Rotem, Avi Mendelson, Anupam Chattopadhyay, Onur Mutlu:
FlexWatts: A Power- and Workload-Aware Hybrid Power Delivery Network for Energy-Efficient Microprocessors. - Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula:
Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks. - Andrew Singletary, Shishir Kolathaya, Aaron D. Ames:
Safety-Critical Kinematic Control of Robotic Systems. - Seung Ah Choi:
Amazon Fake Reviews. - Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu:
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs. - Esmail Asyabi, Azer Bestavros, Renato Mancuso, Richard West, Erfan Sharafzadeh:
Akita: A CPU scheduler for virtualized Clouds. - Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy:
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. - Ling Zhang, Yize Chen, Baosen Zhang:
A Convex Neural Network Solver for DCOPF with Generalization Guarantees. - Igor Ilic, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan:
Explainable boosted linear regression for time series forecasting. - Tian Shi, Ping Wang, Chandan K. Reddy:
Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rating Prediction. - Hussein Osman, Karim Zaghw, Mostafa Hazem, Seifeldin Elsehely:
An Efficient Language-Independent Multi-Font OCR for Arabic Script. - Roger Scott, Joseph Ranieri, Lucja Kot, Vineeth Kashyap:
Out of Sight, Out of Place: Detecting and Assessing Swapped Arguments. - Shih-Ting Lin, Greg Durrett:
Tradeoffs in Sentence Selection Techniques for Open-Domain Question Answering. - Yuval Pinter, Cassandra L. Jacobs, Jacob Eisenstein:
Will it Unblend? - Jiayi Wang, Ke Wang, Niyu Ge, Yangbing Shi, Yu Zhao, Kai Fan:
Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing. - Pei Zhang, Boxing Chen, Niyu Ge, Kai Fan:
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation. - Yusuf Sulistyo Nugroho, Syful Islam, Keitaro Nakasai, Ifraz Rehman, Hideaki Hata, Raula Gaikovina Kula, Meiyappan Nagappan, Kenichi Matsumoto:
Sustaining a Healthy Ecosystem: Participation, Discussion, and Interaction in Eclipse Forums. - Jieh-Sheng Lee, Jieh Hsiang:
Prior Art Search and Reranking for Generated Patent Text. - Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Lydia Morawiec:
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction. - Jonathan Pilault, Amine Elhattami, Christopher J. Pal:
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data. - Jindong Gu, Zhiliang Wu, Volker Tresp:
Introspective Learning by Distilling Knowledge from Online Self-explanation. - Guyue Li, Chen Sun, Eduard A. Jorswieck, Junqing Zhang, Aiqun Hu, You Chen:
Sum Secret Key Rate Maximization for TDD Multi-User Massive MIMO Wireless Networks. - Yun Zhu, Sayyed M. Zahiri, Jiaqi Wang, Han-Yu Chen, Faizan Javed:
Active Learning for Product Type Ontology Enhancement in E-commerce. - Jiahui Lyu, Bojian Wu, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
Differentiable Refraction-Tracing for Mesh Reconstruction of Transparent Objects. - Siyi Yang, Ahmed H. Hareedy, A. Robert Calderbank, Lara Dolecek:
Hierarchical Coding for Cloud Storage: Topology-Adaptivity, Scalability, and Flexibility. - Xin Li, Piji Li, Yan Wang, Xiaojiang Liu, Wai Lam:
Enhancing Dialogue Generation via Multi-Level Contrastive Learning. - Jekan Thangavelautham, Yinan Xu:
Co-Evolution of Multi-Robot Controllers and Task Cues for Off-World Open Pit Mining. - Abhishek Cauligi, Tony G. Chen, Srinivasan A. Suresh, Michael Dille, Ruben Garcia Ruiz, Andres Mora Vargas, Marco Pavone, Mark R. Cutkosky:
Design and Development of a Gecko-Adhesive Gripper for the Astrobee Free-Flying Robot. - Ye Lin, Yanyang Li, Ziyang Wang, Bei Li, Quan Du, Tong Xiao, Jingbo Zhu:
Weight Distillation: Transferring the Knowledge in Neural Network Parameters. - David Krueger, Tegan Maharaj, Jan Leike:
Hidden Incentives for Auto-Induced Distributional Shift. - Raeid Saqur, Ameet Deshpande:
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes. - Ilia Sucholutsky, Matthias Schonlau:
SecDD: Efficient and Secure Method for Remotely Training Neural Networks. - Francesco Ricca, Alessandra Russo, Sergio Greco, Nicola Leone, Alexander Artikis, Gerhard Friedrich, Paul Fodor, Angelika Kimmig, Francesca A. Lisi, Marco Maratea, Alessandra Mileo, Fabrizio Riguzzi:
Proceedings 36th International Conference on Logic Programming (Technical Communications), ICLP Technical Communications 2020, (Technical Communications) UNICAL, Rende (CS), Italy, 18-24th September 2020. EPTCS 325, 2020 [contents] - Chenguang Zhang, Yuexian Hou, Dawei Song, Liangzhu Ge, Yaoshuai Yao:
Redundancy of Hidden Layers in Deep Learning: An Information Perspective. - Zeqiu Wu, Rik Koncel-Kedziorski, Mari Ostendorf, Hannaneh Hajishirzi:
Extracting Summary Knowledge Graphs from Long Documents. - Hui Xi, Dong Xu, Young-Jun Son:
Dynamic Scheduling and Workforce Assignment in Open Source Software Development. - Wenyan Cong, Li Niu, Jianfu Zhang, Jing Liang, Liqing Zhang:
BargainNet: Background-Guided Domain Translation for Image Harmonization. - Adrian Herrera:
Optimizing Away JavaScript Obfuscation. - Kohei Numata, Kenichi Tanaka:
Stochastic Threshold Model Trees: A Tree-Based Ensemble Method for Dealing with Extrapolation. - Detlef Schmicker:
Few-shot learning using pre-training and shots, enriched by pre-trained samples. - Bobo Li, Hao Fei, Yafeng Ren, Donghong Ji:
Nominal Compound Chain Extraction: A New Task for Semantic-enriched Lexical Chain. - Shengqiong Wu, Hao Fei, Donghong Ji:
Aggressive Language Detection with Joint Text Normalization via Adversarial Multi-task Learning. - Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. - Min Peng, Chongyang Wang, Yuan Gao, Tao Bi, Tong Chen, Yu Shi, Xiang-Dong Zhou:
Recognizing Micro-expression in Video Clip with Adaptive Key-frame Mining. - Zhihang Yuan, Xin Liu, Bingzhe Wu, Guangyu Sun:
ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference. - Martin Genzel, Alexander Stollenwerk:
A Unified Approach to Uniform Signal Recovery From Non-Linear Observations. - Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Inferring, Predicting, and Denoising Causal Wave Dynamics. - Fang Liu, Kenneth W. Shum, Yijin Zhang, Wing Shing Wong:
Schedule Sequence Design for Broadcast in Multi-channel Ad Hoc Networks. - Guoyang Zeng, Fanchao Qi, Qianrui Zhou, Tingji Zhang, Bairu Hou, Yuan Zang, Zhiyuan Liu, Maosong Sun:
OpenAttack: An Open-source Textual Adversarial Attack Toolkit. - Yuan Zang, Bairu Hou, Fanchao Qi, Zhiyuan Liu, Xiaojun Meng, Maosong Sun:
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations. - Kai Li Lim, Thomas Bräunl:
A Review of Visual Odometry Methods and Its Applications for Autonomous Driving. - Sheng Wan, Chen Gong, Shirui Pan, Jie Yang, Jian Yang:
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification. - Junjie Chen, Li Niu, Liu Liu, Liqing Zhang:
Weak-shot Fine-grained Classification via Similarity Transfer. - Théophile Chaumont-Frelet, Padtrick Vega:
Frequency-explicit a posteriori error estimates for finite element discretizations of Maxwell's equations. - Liming Zhai, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Lei Ma, Wei Feng, Shengchao Qin, Yang Liu:
It's Raining Cats or Dogs? Adversarial Rain Attack on DNN Perception. - Ayush Mangal, Jitesh Jain, Keerat Kaur Guliani, Omkar Bhalerao:
DEAP Cache: Deep Eviction Admission and Prefetching for Cache. - Kengo Machida, Kuniaki Uto, Koichi Shinoda, Taiji Suzuki:
Neural Architecture Search Using Stable Rank of Convolutional Layers. - Richard Knight, Jason R. C. Nurse:
A framework for effective corporate communication after cyber security incidents. - Yihao Huang, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Lei Ma, Weikai Miao, Yang Liu, Geguang Pu:
FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise. - Yutaka Nagashima:
Faster Smarter Induction in Isabelle/HOL with SeLFiE. - Luca Martino, Jesse Read:
Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers. - Emmanouil Koulas, Marios Anthopoulos, Sotiria Grammenou, Christos Kaimakamis, Konstantinos Kousaris, Fotini-Rafailia Panavou, Orestis Piskioulis, Syed Iftikhar Hussain Shah, Vassilios Peristeras:
Misinformation and its stakeholders in Europe: a web-based analysis. - Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. - Jamil Ispahany, Rafiqul Islam:
Detecting Malicious URLs of COVID-19 Pandemic using ML technologies. - Zheni Zeng, Chaojun Xiao, Yuan Yao, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. - Takaya Shin, Takumi Ibayashi, Kiminao Kogiso:
Detailed Dynamic Model of Antagonistic PAM System and its Experimental Validation: Sensor-less Angle and Torque Control with UKF. - Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu:
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. - Yupeng Cheng, Felix Juefei-Xu, Qing Guo, Huazhu Fu, Xiaofei Xie, Shang-Wei Lin, Weisi Lin, Yang Liu:
Adversarial Exposure Attack on Diabetic Retinopathy Imagery. - Yiren Zhao, Duo Wang, Daniel Bates, Robert D. Mullins, Mateja Jamnik, Pietro Liò:
Learned Low Precision Graph Neural Networks. - Richard Savery, Lisa Zahray, Gil Weinberg:
Shimon the Rapper: A Real-Time System for Human-Robot Interactive Rap Battles. - Nils Keunecke, S. Hamidreza Kasaei:
Combining Shape Features with Multiple Color Spaces in Open-Ended 3D Object Recognition. - Heon Song, Daiki Suehiro, Seiichi Uchida:
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee. - Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu:
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining. - Bai Li, Guillaume Thomas, Yang Xu, Frank Rudzicz:
Word class flexibility: A deep contextualized approach. - Kaan Gökcesu, Hakan Gökcesu:
Recursive Experts: An Efficient Optimal Mixture of Learning Systems in Dynamic Environments. - Thirunavukarasu Balasubramaniam, Richi Nayak, Md. Abul Bashar:
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study. - Duc Canh Le, Chan-Hyun Youn:
City-Scale Visual Place Recognition with Deep Local Features Based on Multi-Scale Ordered VLAD Pooling. - Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Xuhong Ren, Wei Feng, Song Wang:
Making Images Undiscoverable from Co-Saliency Detection. - Shengjun Pan, Brendan Kitts, Tian Zhou, Hao He, Bharatbhushan Shetty, Aaron Flores, Djordje Gligorijevic, Junwei Pan, Tingyu Mao, San Gultekin, Jianlong Zhang:
Bid Shading by Win-Rate Estimation and Surplus Maximization. - Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo:
Inductive Learning on Commonsense Knowledge Graph Completion. - Johannes Schneider:
Humans learn too: Better Human-AI Interaction using Optimized Human Inputs. - Negar Foroutan Eghlidi, Martin Jaggi:
Sparse Communication for Training Deep Networks. - Yun Liao, Seyyed Ali Hashemi, John M. Cioffi, Andrea Goldsmith:
Construction of Polar Codes with Reinforcement Learning. - Chris J. Mitchell:
An insecure noninteractive group key establishment scheme. - Eman Abdullah AlOmar, Mohamed Wiem Mkaouer, Ali Ouni:
Toward the Automatic Classification of Self-Affirmed Refactoring. - Kang Liu, Benjamin Tan, Siddharth Garg:
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. - Aida Ramezani, Amirhossein Khajehpour, Mahdi Jafari Siavoshani:
On Multi-Session Website Fingerprinting over TLS Handshake. - Mark Sh. Levin:
On combinatorial optimization for dominating sets (literature survey, new models). - Youshan Zhang, Brian D. Davison:
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge. - Gabriela Surita, Rodrigo Nogueira, Roberto A. Lotufo:
Can questions summarize a corpus? Using question generation for characterizing COVID-19 research. - Jack K. Horner, John F. Symons:
Software Engineering Standards for Epidemiological Modeling. - Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. - S. Kavitha, K. K. Thyagharajan:
Features based Mammogram Image Classification using Weighted Feature Support Vector Machine. - Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang:
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. - Filipe Wall Mutz, Thiago Oliveira-Santos, Avelino Forechi, Karin Satie Komati, Claudine Badue, Felipe M. G. França, Alberto F. De Souza:
What is the Best Grid-Map for Self-Driving Cars Localization? An Evaluation under Diverse Types of Illumination, Traffic, and Environment. - Fajri Koto, Ikhwan Koto:
Towards Computational Linguistics in Minangkabau Language: Studies on Sentiment Analysis and Machine Translation. - Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
High-Resolution Augmentation for Automatic Template-Based Matching of Human Models. - Taku Nonomura, Shunsuke Ono, Kumi Nakai, Yuji Saito:
Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem. - Anian Ruoss, Maximilian Baader, Mislav Balunovic, Martin T. Vechev:
Efficient Certification of Spatial Robustness. - Chris Ick, Vincent Lostanlen:
Learning a Lie Algebra from Unlabeled Data Pairs. - Jiachen Mao, Mehdi Jafari, Audun Botterud:
Planning Low-carbon Distributed Power Systems: Evaluating the Role of Energy Storage. - Nicolas Araque, Germano Rojas, Maria Vitali:
UniNet: Next Term Course Recommendation using Deep Learning. - Jaydeb Sarker, Asif Kamal Turzo, Amiangshu Bosu:
A Benchmark Study of the Contemporary Toxicity Detectors on Software Engineering Interactions. - Liming Zhang, Liang Zhao, Dieter Pfoser:
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints. - Hengameh Fakhravar:
Quantifying Uncertainty in Risk Assessment using Fuzzy Theory. - Kung-Hsiang Huang, Mu Yang, Nanyun Peng:
Biomedical Event Extraction on Graph Edge-conditioned Attention Networks with Hierarchical Knowledge Graphs. - Sreenivas Gollapudi, Kostas Kollias, Benjamin Plaut:
Almost Envy-free Repeated Matching in Two-sided Markets. - Chuan Ma, Jun Li, Ming Ding, Long Shi, Taotao Wang, Zhu Han, H. Vincent Poor:
When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm. - Zhiyi Zhang, Su Yong Wong, Junxiao Shi, Davide Pesavento, Alexander Afanasyev, Lixia Zhang:
On Certificate Management in Named Data Networking. - Justin K. Terry, Benjamin Black:
Multiplayer Support for the Arcade Learning Environment. - Tinghuai Ma, Mingming Yang, Huan Rong, Yurong Qian, Yuan Tian, Najla Al-Nabhan:
Dual-path CNN with Max Gated block for Text-Based Person Re-identification. - Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park:
TorchDyn: A Neural Differential Equations Library. - Mingxiang Chen, Qichang Chen, Lei Gao, Yilin Chen, Zhecheng Wang:
Predicting Geographic Information with Neural Cellular Automata. - Aayush K. Chaudhary, Jeff B. Pelz:
pit-Enhancing the Precision of Eye Tracking using Iris Feature Motion Vectors. - Ashish Goel, Benjamin Plaut:
Counteracting Inequality in Markets via Convex Pricing. - Dong Xu, Chao Meng, Qingpeng Zhang, Puneet Bhardwaj, Young-Jun Son:
A Hybrid Simulation-based Duopoly Game Framework for Analysis of Supply Chain and Marketing Activities. - Xiaoli Li, Jie Shen:
On fully decoupled MSAV schemes for the Cahn-Hilliard-Navier-Stokes model of Two-Phase Incompressible Flows. - Ruturaj Raval:
An Improved Approach of Intention Discovery with Machine Learning for POMDP-based Dialogue Management. - Shyni Thomas, Dipti Deodhare, M. Narasimha Murty:
Multi Agent Path Finding with Awareness for Spatially Extended Agents. - Won Joon Yun, Joongheon Kim:
3D Modeling and WebVR Implementation using Azure Kinect, Open3D, and Three.js. - Egor Klevak, Sangdi Lin, Andy Martin, Ondrej Linda, Eric Ringger:
Out-Of-Bag Anomaly Detection. - Tahmid Hasan, Abhik Bhattacharjee, Kazi Samin, Masum Hasan, Madhusudan Basak, M. Sohel Rahman, Rifat Shahriyar:
Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation. - Jean-François Raskin, Davide Bresolin:
Proceedings 11th International Symposium on Games, Automata, Logics, and Formal Verification, GandALF 2020, Brussels, Belgium, September 21-22, 2020. EPTCS 326, 2020 [contents] - Qingrui Zhang, Hao Dong, Wei Pan:
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control. - Zhaofeng Wu, Matt Gardner:
Understanding Mention Detector-Linker Interaction for Neural Coreference Resolution. - Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen:
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. - Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha, Mohammed H. Almannaa, Leanna House:
Network and Station-Level Bike-Sharing System Prediction: A San Francisco Bay Area Case Study. - Jinho Kim, Daniel J. Gonzalez, Christopher M. Korpela:
Comparing Feedback Linearization and Adaptive Backstepping Control for Airborne Orientation of Agile Ground Robots using Wheel Reaction Torque. - Takayuki Nishio, Ryoichi Shinkuma, Narayan B. Mandayam:
Estimation of Individual Device Contributions for Incentivizing Federated Learning. - Raj Dabre, Atsushi Fujita:
Softmax Tempering for Training Neural Machine Translation Models. - Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang:
Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation. - Leye Wang, Di Chai, Xuanzhe Liu, Liyue Chen, Kai Chen:
Exploring the Generalizability of Spatio-Temporal Crowd Flow Prediction: Meta-Modeling and an Analytic Framework. - Tim Brüdigam, Michael Olbrich, Dirk Wollherr, Marion Leibold:
Stochastic Model Predictive Control with a Safety Guarantee for Automated Driving. - Lukasz Korycki, Bartosz Krawczyk:
Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. - Matthias Sebastian Treder, Juan Mayor-Torres, Christoph Teufel:
Deriving Visual Semantics from Spatial Context: An Adaptation of LSA and Word2Vec to generate Object and Scene Embeddings from Images. - Yunxia Lin, Songcan Chen:
Convex Subspace Clustering by Adaptive Block Diagonal Representation. - Altug Süral, E. Göksu Sezer, Ertugrul Kolagasioglu, Veerle Derudder, Kaoutar Bertrand:
Tb/s Polar Successive Cancellation Decoder 16nm ASIC Implementation. - Alfa Rossi, Nadim Ahmed, Sultanus Salehin, Tashfique Hasnine Choudhury, Golam Sarowar:
Real-time Lane detection and Motion Planning in Raspberry Pi and Arduino for an Autonomous Vehicle Prototype. - Ivan Sekulic, Amir Soleimani, Mohammad Aliannejadi, Fabio Crestani:
Longformer for MS MARCO Document Re-ranking Task. - Hrishikesh P. S, Densen Puthussery, Melvin Kuriakose, C. Victor Jiji:
Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera Images. - Furqan Hameed Khan, Raja Jurdak, Marius Portmann:
A Model for Reliable Uplink Transmissions in LoRaWAN. - Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He:
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition. - Ling Pei, Songpengcheng Xia, Lei Chu, Fanyi Xiao, Zixuan Zhang, Qi Wu, Wenxian Yu:
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model. - Yaniv Benny, Niv Pekar, Lior Wolf:
Scale-Localized Abstract Reasoning. - Tzvika Geft, Aviv Tamar, Ken Goldberg, Dan Halperin:
Robust 2D Assembly Sequencing via Geometric Planning with Learned Scores. - Ahmad Droby, Jihad El-Sana:
ContourCNN: convolutional neural network for contour data classification. - Byung-Ju Choi, Jimin Hong, David Keetae Park, Sang Wan Lee:
F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. - Josh Bullock, Justin E. Lane, Igor Miklousic, F. LeRon Shults:
Modelling Threat Causation for Religiosity and Nationalism in Europe. - Rongsheng Zhang, Yinhe Zheng, Jianzhi Shao, Xiaoxi Mao, Yadong Xi, Minlie Huang:
Dialogue Distillation: Open-domain Dialogue Augmentation Using Unpaired Data. - L. Balaji, K. K. Thyagharajan:
An enhanced performance for H.265/SHVC based on combined AEGBM3D filter and back-propagation neural network. - Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt, Florin Ciucu, Heinz Koeppl, Carsten Binnig, Amr Rizk:
On the Throughput Optimization in Large-Scale Batch-Processing Systems. - Francisco Vargas, Ryan Cotterell:
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. - Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott:
Latent Representation Prediction Networks. - Feng Zhang, Jidong Zhai, Xipeng Shen, Dalin Wang, Zheng Chen, Onur Mutlu, Wenguang Chen, Xiaoyong Du:
TADOC: Text Analytics Directly on Compression. - Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran:
Unsupervised Anomaly Detection on Temporal Multiway Data. - Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu:
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. - Lu Yang, Qing Song, Zhihui Wang, Mengjie Hu, Chun Liu, Xueshi Xin, Wenhe Jia, Songcen Xu:
Renovating Parsing R-CNN for Accurate Multiple Human Parsing. - Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu:
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. - Meisam Mohammady, Shangyu Xie, Yuan Hong, Mengyuan Zhang, Lingyu Wang, Makan Pourzandi, Mourad Debbabi:
R2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions. - Patrick Kidger, Ricky T. Q. Chen, Terry J. Lyons:
"Hey, that's not an ODE": Faster ODE Adjoints with 12 Lines of Code. - Julian Chibane, Gerard Pons-Moll:
Implicit Feature Networks for Texture Completion from Partial 3D Data. - C. Ramya:
Recent Progress on Matrix Rigidity - A Survey. - Junfu Chen, Yue Pan, Yang Chen:
Remote sensing image fusion based on Bayesian GAN. - Rohit Jena, Siddharth Agrawal, Katia P. Sycara:
Addressing reward bias in Adversarial Imitation Learning with neutral reward functions. - Seyed Mohammad Razavi, Hamid-Reza Momeni, Mahmoud Reza Haghifam, Sadegh Bolouki:
Multi-Objective Optimization of Distribution Networks via Daily Reconfiguration. - Ehsan Doostmohammadi, Minoo Nassajian, Adel Rahimi:
Persian Ezafe Recognition Using Transformers and Its Role in Part-Of-Speech Tagging. - Sergio Amat, Juan Ruiz, Chi-Wang Shu, Dionisio F. Yáñez:
Cell-average WENO with progressive order of accuracy close to discontinuities with applications to signal processing. - (Withdrawn) A General Framework for the Security Analysis of Blockchain Protocols.
- Ayush Tewari, Mohamed Elgharib, Mallikarjun B. R., Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
PIE: Portrait Image Embedding for Semantic Control. - Albert Atserias, Phokion G. Kolaitis:
Consistency, Acyclicity, and Positive Semirings. - Nidhi Vyas, Shreyas Saxena, Thomas Voice:
Learning Soft Labels via Meta Learning. - Lukasz Korycki, Bartosz Krawczyk:
Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining. - Anas M. Al-Oraiqat, Sergey A. Zori:
3D Primitives Gpgpu Generation for Volume Visualization in 3D Graphics Systems. - Anas M. Al-Oraiqat, Sergii A. Zori:
3D Pseudo Stereo Visualization with Gpgpu Support. - Furqan Hameed Khan, Marius Portmann:
Experimental Evaluation of LoRaWAN in NS-3. - Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin:
Achieving Proportionality up to the Maximin Item with Indivisible Goods. - Shweta Yadav, Srivatsa Ramesh, Sriparna Saha, Asif Ekbal:
Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework. - Bhaskar Ramasubramanian, Baicen Xiao, Linda Bushnell, Radha Poovendran:
Safety-Critical Online Control with Adversarial Disturbances. - Shu Sun, Sungho Moon:
Practical Scheduling Algorithms with Contiguous Resource Allocation for Next-Generation Wireless Systems. - Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev:
Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems. - Andrew Or, Haoyu Zhang, Michael J. Freedman:
VirtualFlow: Decoupling Deep Learning Model Execution from Underlying Hardware. - Patrick Ah-Fat, Michael Huth:
Two and Three-Party Digital Goods Auctions: Scalable Privacy Analysis. - Romain Cosentino, Randall Balestriero, Richard G. Baraniuk, Behnaam Aazhang:
Provable Finite Data Generalization with Group Autoencoder. - Yuhang Ye, Brian Lee, Yuansong Qiao:
PPTP: Price-based Path-specified Transport Protocol for Named Data Network using Blockchain. - Smitha Gautham, Abhilash Rajagopala, Athira Varma Jayakumar, Christopher J. Deloglos, Erwin Karincic, Carl R. Elks:
Heterogeneous Runtime Verification of Safety Critical Cyber Physical Systems. - Aniket Shirsat, Karthik Elamvazhuthi, Spring Berman:
Multi-Robot Target Search using Probabilistic Consensus on Discrete Markov Chains. - Mengfan Xu, Diego Klabjan:
Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms. - Jeremy Avigad:
Foundations. - Babar Shahzaad, Athman Bouguettaya, Sajib Mistry, Azadeh Ghari Neiat:
Resilient Composition of Drone Services for Delivery. - Yi Lou, Ruofan Sun, Julian Cheng, Songzuo Liu, Feng Zhou, Gang Qiao:
Physical-Layer Security for Two-Hop Air-to-Underwater Communication Systems With Fixed-Gain Amplify-and-Forward Relaying. - Tuan Thanh Nguyen, Kui Cai, Kees A. Schouhamer Immink:
Efficient Design of Subblock Energy-Constrained Codes and Sliding Window-Constrained Codes. - Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe:
Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness. - Xiaoyong Yuan, Lei Ding, Lan Zhang, Xiaolin Li, Dapeng Wu:
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles. - Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Bao-Cai Yin, Chin-Hui Lee:
Correlating Subword Articulation with Lip Shapes for Embedding Aware Audio-Visual Speech Enhancement. - Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. - Su Zhu, Ruisheng Cao, Lu Chen, Kai Yu:
Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. - Yongjune Kim, Cyril Guyot, Young-Sik Kim:
On the Efficient Estimation of Min-Entropy. - Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay, Baozhou Sun, Weixiong Zhang:
Semi-supervised Semantic Segmentation of Organs at Risk on 3D Pelvic CT Images. - Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale:
Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning. - Feng Tao, Yongcan Cao:
Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization. - Jaesung Yoo, Jeman Park, An Wang, David Mohaisen, Joongheon Kim:
On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study. - Mel McCurrie, Hamish Nicholson, Walter J. Scheirer, Samuel E. Anthony:
Modeling Score Distributions and Continuous Covariates: A Bayesian Approach. - Yang Li, Boxun Fu, Fu Li, Guangming Shi, Wenming Zheng:
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition. - Jiawei Wu, Xiaoya Li, Xiang Ao, Yuxian Meng, Fei Wu, Jiwei Li:
Improving Robustness and Generality of NLP Models Using Disentangled Representations. - Jisu Jeong, Jeong-Min Yun, Hongi Keam, Young-Jin Park, Zimin Park, Junki Cho:
div2vec: Diversity-Emphasized Node Embedding. - Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan Z. Li:
Deep Clustering and Representation Learning that Preserves Geometric Structures. - Junjie Wang, Qichao Zhang, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. - Tamir Blum, Gabin Paillet, Mickael Laine, Kazuya Yoshida:
RL STaR Platform: Reinforcement Learning for Simulation based Training of Robots. - Shweta Yadav, Joy Prakash Sain, Amit P. Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Assessing the Severity of Health States based on Social Media Posts. - Kamil Khan, Sudeep Pasricha, Ryan Gary Kim:
A Survey of Resource Management for Processing-in-Memory and Near-Memory Processing Architectures. - Lijie Chen, Badih Ghazi, Ravi Kumar, Pasin Manurangsi:
On Distributed Differential Privacy and Counting Distinct Elements. - Oussama Hanguir, Clifford Stein:
Distributed Algorithms for Matching in Hypergraphs. - Yahya Alnashri:
A General Error Estimate For Parabolic Variational Inequalities. - Shamik Roy, Dan Goldwasser:
Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media. - Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung:
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. - Weikai Yang, Xiting Wang, Jie Lu, Wenwen Dou, Shixia Liu:
Interactive Steering of Hierarchical Clustering. - Junghyun Kim, Thong D. Ngo, Paul S. Oh, Sean Soek-Chul Kwon, Changhee Han, Joongheon Kim:
Economic Theoretic LEO Satellite Coverage Control: An Auction-based Framework. - Constantinos Daskalakis, Stratis Skoulakis, Manolis Zampetakis:
The Complexity of Constrained Min-Max Optimization. - Wenliang Dai, Zihan Liu, Tiezheng Yu, Pascale Fung:
Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition. - Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve J. Maybank, Dacheng Tao:
3D-FUTURE: 3D Furniture shape with TextURE. - Saswata Sahoo, Souradip Chakraborty:
Learning Representation for Mixed Data Types with a Nonlinear Deep Encoder-Decoder Framework. - Dimitrios Mitsotakis, Hendrik Ranocha, David I. Ketcheson, Endre Süli:
A conservative fully-discrete numerical method for the regularised shallow water wave equations. - Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell:
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution. - Yi-Jun Chang:
The Complexity Landscape of Distributed Locally Checkable Problems on Trees. - Naveed Ahmed Azam, Jianshen Zhu, Yanming Sun, Yu Shi, Aleksandar Shurbevski, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu:
A Novel Method for Inference of Acyclic Chemical Compounds with Bounded Branch-height Based on Artificial Neural Networks and Integer Programming. - SooHyun Park, Jeman Park, David Mohaisen, Joongheon Kim:
Reinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial Vehicles. - Quanyu Long, Mingxuan Wang, Lei Li:
Generative Imagination Elevates Machine Translation. - Iva Bojic, Dániel Kondor, Wei Tu, Ke Mai, Paolo Santi, Carlo Ratti:
Identifying synergies in private and public transportation. - Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang, Fayao Liu:
Feature Flow: In-network Feature Flow Estimation for Video Object Detection. - Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu:
DeepDyve: Dynamic Verification for Deep Neural Networks. - Dominique Pastor, Erwan Beurier, Andrée C. Ehresmann, Roger Waldeck:
A mathematical approach to resilience. - Johannes Kunz, Julian Renner, Georg Maringer, Thomas Schamberger, Antonia Wachter-Zeh:
On Software Implementation of Gabidulin Decoders. - Fei Xie, Wankou Yang, Bo Liu, Kaihua Zhang, Wanli Xue, Wangmeng Zuo:
Discriminative Segmentation Tracking Using Dual Memory Banks. - Dimitrios Vasilas, Marc Shapiro, Bradley King, Sara S. Hamouda:
Towards application-specific query processing systems. - Zewei Sun, Shujian Huang, Xinyu Dai, Jiajun Chen:
Alleviating the Inequality of Attention Heads for Neural Machine Translation. - Robby Neven, Marian Verhelst, Tinne Tuytelaars, Toon Goedemé:
Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules. - Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera:
CURIE: A Cellular Automaton for Concept Drift Detection. - Thomas Bläsius, Tobias Friedrich, Christopher Weyand:
Efficiently Computing Maximum Flows in Scale-Free Networks. - Hideyuki Tachibana, Yotaro Katayama:
Accent Estimation of Japanese Words from Their Surfaces and Romanizations for Building Large Vocabulary Accent Dictionaries. - Haoyu Song, Yan Wang, Wei-Nan Zhang, Zhengyu Zhao, Ting Liu, Xiaojiang Liu:
Profile Consistency Identification for Open-domain Dialogue Agents. - Guojun Chen, Yinfei Xu, Tiecheng Song, Xi Li:
Computing the Rate-Distortion Function of Gray-Wyner System. - Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng:
Contrastive Clustering. - Neziha Akalin, Amy Loutfi:
Reinforcement Learning Approaches in Social Robotics. - Liehuang Zhu, Xiangyun Tang, Meng Shen, Jie Zhang, Xiaojiang Du:
Privacy-Preserving Machine Learning Training in Aggregation Scenarios. - Kan Wang, Pengfei Wang, Changxing Ding, Dacheng Tao:
Batch Coherence-Driven Network for Part-aware Person Re-Identification. - Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan:
Exploiting Submodular Value Functions For Scaling Up Active Perception. - Zohreh Mostaani, Anjith George, Guillaume Heusch, David Geissbühler, Sébastien Marcel:
The High-Quality Wide Multi-Channel Attack (HQ-WMCA) database. - Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
TED: Triple Supervision Decouples End-to-end Speech-to-text Translation. - Johannes Dornheim, Lukas Morand, Samuel Zeitvogel, Tarek Iraki, Norbert Link, Dirk Helm:
Structure-Guided Processing Path Optimization with Deep Reinforcement Learning. - Qintong Li, Piji Li, Zhumin Chen, Zhaochun Ren:
Empathetic Dialogue Generation via Knowledge Enhancing and Emotion Dependency Modeling. - Yicheng Wang, Shuang Xu, Junmin Liu, Zixiang Zhao, Chunxia Zhang, Jiangshe Zhang:
MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion. - (Withdrawn) A Survey on Machine Learning Applied to Dynamic Physical Systems.
- Teodora Popordanoska, Mohit Kumar, Stefano Teso:
Machine Guides, Human Supervises: Interactive Learning with Global Explanations. - Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen:
Conditional Automated Channel Pruning for Deep Neural Networks. - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Multitask Pointer Network for Multi-Representational Parsing. - Ivan Boskov, Halil Yetgin, Matevz Vucnik, Carolina Fortuna, Mihael Mohorcic:
Time-to-Provision Evaluation of IoT Devices Using Automated Zero-Touch Provisioning. - Ehud Shapiro, Nimrod Talmon:
Electing the Executive Branch. - Shuo Liu, Qiaoling Wang, Junyi Zhang, Qinliang Lin, Yao Liu, Meng Xu, Ray C. C. Cheung, Jianfei He:
NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration. - Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
SDST: Successive Decoding for Speech-to-text Translation. - Vera Traub:
Improving on Best-of-Many-Christofides for T-tours. - Muhammet Çakir, Sule Gündüz Ögüdücü, Resul Tugay:
A Deep Hybrid Model for Recommendation Systems. - Resul Tugay, Sule Gündüz Ögüdücü:
Demand Prediction Using Machine Learning Methods and Stacked Generalization. - Marie-Anne Lachaux, Armand Joulin, Guillaume Lample:
Target Conditioning for One-to-Many Generation. - Jérôme Kunegis:
Modeling the Evolution of Networks as Shrinking Structural Diversity. - Resul Tugay, Sule Gündüz Ögüdücü:
Ranky : An Approach to Solve Distributed SVD on Large Sparse Matrices. - Santtu Tikka, Antti Hyttinen, Juha Karvanen:
Identifying Causal Effects via Context-specific Independence Relations. - Jinqi Luo, Tao Bai, Jun Zhao, Bo Li:
Generating Adversarial yet Inconspicuous Patches with a Single Image. - Muhammad Umair Khan, Khawar Saeed, Sidra Qadeer:
Weight Training Analysis of Sportsmen with Kinect Bioinformatics for Form Improvement. - Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
TreeCaps: Tree-Based Capsule Networks for Source Code Processing. - Ankit Gupta, Manas Mejari, Paolo Falcone, Dario Piga:
Computation of Parameter Dependent Robust Invariant Sets for LPV Models with Guaranteed Performance. - Ziming Li, Julia Kiseleva, Maarten de Rijke:
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. - Marc Carrascosa, Boris Bellalta:
Cloud-gaming: Analysis of Google Stadia traffic. - Mahdi Taheri, Hamed Zandevakili, Ali Mahani:
A high-performance MEMRISTOR-based Smith-Waterman DNA sequence alignment Using FPNI structure. - Ahmed Alharbi, Hai Dong:
Subjective Metrics-based Cloud Market Performance Prediction. - Dinh-An Ho, Oya Beyan:
Biases in Data Science Lifecycle. - Michael Crawshaw:
Multi-Task Learning with Deep Neural Networks: A Survey. - Khalil Ghorbal, Andrew Sogokon:
Characterizing Positively Invariant Sets: Inductive and Topological Methods. - Jaehyuk Park, Morgan R. Frank, Lijun Sun, Hyejin Youn:
Industrial Topics in Urban Labor System. - Ji Liu, Hang Zhao, Jiyuan Yang, Yu Shi, Ruichang Liu, Dong Yuan, Shiping Chen:
ServiceNet: A P2P Service Network. - Meghyn Bienvenu, Quentin Manière, Michaël Thomazo:
Answering Counting Queries over DL-Lite Ontologies. - Edward Hermann Haeusler:
On the Intrinsic Redundancy in Huge Natural Deduction proofs II: Analysing M⊃ Super-Polynomial Proofs. - Yunzhe Xue, Meiyan Xie, Usman Roshan:
Defending against substitute model black box adversarial attacks with the 01 loss. - Shuang Ma, Zhaoyang Zeng, Daniel McDuff, Yale Song:
Learning Audio-Visual Representations with Active Contrastive Coding. - Paolo Pareti, George Konstantinidis, Fabio Mogavero, Timothy J. Norman:
SHACL Satisfiability and Containment (Extended Paper). - Thomas Davies, Derek Nowrouzezahrai, Alec Jacobson:
Overfit Neural Networks as a Compact Shape Representation. - Andrés Mafla, Sounak Dey, Ali Furkan Biten, Lluís Gómez, Dimosthenis Karatzas:
Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval. - Zhihan Yang, Anurag Sarkar, Seth Cooper:
Game Level Clustering and Generation using Gaussian Mixture VAEs. - Naoki Wake, Kazuhiro Sasabuchi, Katsushi Ikeuchi:
Grasp-type Recognition Leveraging Object Affordance. - Mohammad Mahdi Azari, Atefeh Hajijamali Arani, Fernando Rosas:
Mobile Cellular-Connected UAVs: Reinforcement Learning for Sky Limits. - Umar Asif, Deval Mehta, Stefan von Cavallar, Jianbin Tang, Stefan Harrer:
DeepActsNet: Spatial and Motion features from Face, Hands, and Body Combined with Convolutional and Graph Networks for Improved Action Recognition. - Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu:
TODS: An Automated Time Series Outlier Detection System. - Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Hidden Latent State Inference in a Spatio-Temporal Generative Model. - Jil Klünder, Julian Horstmann, Oliver Karras:
Identifying the Mood of a Software Development Team by Analyzing Text-Based Communication in Chats with Machine Learning. - Hengjun Zhao, Xia Zeng, Taolue Chen, Zhiming Liu, Jim Woodcock:
Learning Safe Neural Network Controllers with Barrier Certificates. - Lukas Hirsch, Yu Huang, Shaojun Luo, Carolina Rossi Saccarelli, Roberto Lo Gullo, Isaac Daimiel Naranjo, Almir Galvão Vieira Bitencourt, Natsuko Onishi, Eun Sook Ko, Dortis Leithner, Daly Avendano, Sarah Eskreis-Winkler, Mary Hughes, Danny F. Martinez, Katja Pinker, Krishna Juluru, Amin E. El-Rowmeim, Pierre Elnajjar, Hedvig Hricak, Elizabeth A. Morris, Hernán A. Makse, Lucas C. Parra, Elizabeth J. Sutton:
Deep learning achieves radiologist-level performance of tumor segmentation in breast MRI. - Felipe Sanchez, Davy Monticolo, Eric Bonjour, Jean-Pierre Micaëlli:
Use of Bayesian Network characteristics to link project management maturity and risk of project overcost. - Jason D. Lee, Ruoqi Shen, Zhao Song, Mengdi Wang, Zheng Yu:
Generalized Leverage Score Sampling for Neural Networks. - Pan Zhou, Xiaotong Yuan:
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. - Balagopal Ramdurai:
Detailed Review of Cloud based Mobile application for the stroke patient. - Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng:
Finding Influential Instances for Distantly Supervised Relation Extraction. - Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
Energy-based Surprise Minimization for Multi-Agent Value Factorization. - Johann Schleier-Smith, Leonhard Holz, Nathan Pemberton, Joseph M. Hellerstein:
A FaaS File System for Serverless Computing. - Spencer Breiner, Blake S. Pollard, Eswaran Subrahmanian, Olivier Marie-Rose:
Modeling Hierarchical System with Operads. 72-83 - Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan:
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. - Mildred Aduamoah, Benjamin D. Goddard, John W. Pearson, Jonna C. Roden:
PDE-Constrained Optimization Models and Pseudospectral Methods for Multiscale Particle Dynamics. - Eduard A. Jorswieck, Karl-Ludwig Besser:
Copula-Based Bounds for Multi-User Communications - Part I: Average Performance. - Sachin Shriwastav, Zhuoyuan Song:
Heterogeneous Fixed-wing Aerial Vehicles for Resilient Coverage of an Area. - Karina A. Roundtree, Jason R. Cody, Jennifer Leaf, H. Onan Demirel, Julie A. Adams:
Transparency's Influence on Human-Collective Interactions. - Jiajun Zhou, Jie Shen, Qi Xuan:
Data Augmentation for Graph Classification. - Christian Klein, Nikola M. Stoilov:
Multidomain spectral approach with Sommerfeld condition for the Maxwell equations. - Run Wang, Felix Juefei-Xu, Meng Luo, Yang Liu, Lina Wang:
FakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance Tracking. - Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph M. Weischedel, Nanyun Peng:
Content Planning for Neural Story Generation with Aristotelian Rescoring. - Jean-François Determe, Sophia Azzagnuni, Utkarsh Singh, François Horlin, Philippe De Doncker:
Collisions of uniformly distributed identifiers with an application to MAC address anonymization. - Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet based Block Autoregressive Flows for Trajectories. - Ahmed Sultan, Mahmoud Salim, Amina Gaber, Islam El Hosary:
WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis using Transformers. - Chuchu Chen:
A symplectic discontinuous Galerkin full discretization for stochastic Maxwell equations. - Max Halford, Philippe Saint-Pierre, Franck Morvan:
Selectivity Estimation with Attribute Value Dependencies using Linked Bayesian Networks. - Max Halford, Philippe Saint-Pierre, Franck Morvan:
Selectivity correction with online machine learning. - Karl-Ludwig Besser, Eduard A. Jorswieck:
Copula-Based Bounds for Multi-User Communications - Part II: Outage Performance. - Mengnian Xu, Yanjiao Chen, Wei Wang:
A Two-stage Game Framework to Secure Transmission in Two-Tier UAV Networks. - Robert Ian Etheredge, Manfred Schartl, Alex Jordan:
Decontextualized learning for interpretable hierarchical representations of visual patterns. - Michel Fliess, Cédric Join:
Data mining and time series segmentation via extrema: preliminary investigations. - Joan P. Company-Corcoles, Emilio Garcia-Fidalgo, Alberto Ortiz:
LiPo-LCD: Combining Lines and Points for Appearance-based Loop Closure Detection. - William Diggin, Michael Diggin:
Efficient Computation of Higher Order 2D Image Moments using the Discrete Radon Transform. - Jacob Householder, Andrew Householder, John Paul Gomez-Reed, Fredrick Park, Shuai Zhang:
Clustering COVID-19 Lung Scans. - Patrick McClure, Gabrielle Reimann, Michal Ramot, Francisco Pereira:
A Deep Neural Network Tool for Automatic Segmentation of Human Body Parts in Natural Scenes. - Albert Cohen, Ronald A. DeVore, Guergana Petrova, Przemyslaw Wojtaszczyk:
Optimal Stable Nonlinear Approximation. - Jiaqi Wang, Alexander Serb, Christos Papavassiliou, Sachin Maheshwari, Themistoklis Prodromakis:
Analysing and Measuring the Performance ofMemristive Integrating Amplifiers. - Talayeh Aledavood, Ilkka Kivimäki, Sune Lehmann, Jari Saramäki:
A Non-negative Matrix Factorization Based Method for Quantifying Rhythms of Activity and Sleep and Chronotypes Using Mobile Phone Data. - Yuan Chang, Zhiyong Sun, Han Zhou, Xiangke Wang, Lincheng Shen, Tianjiang Hu:
Collaborative Target Tracking in Elliptic Coordinates: a Binocular Coordination Approach. - Philipp Terhörst, Daniel Fährmann, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Beyond Identity: What Information Is Stored in Biometric Face Templates? - (Withdrawn) Improving Graph Property Prediction with Generalized Readout Functions.
- Tao Bai, Jinnan Chen, Jun Zhao, Bihan Wen, Xudong Jiang, Alex C. Kot:
Feature Distillation With Guided Adversarial Contrastive Learning. - Scarlett Raine, Ross Marchant, Peyman Moghadam, Frédéric Maire, Brett Kettle, Brano Kusy:
Multi-species Seagrass Detection and Classification from Underwater Images. - Feng Tao, Rengan Suresh, Johnathan Votion, Yongcan Cao:
Graph Based Multi-layer K-means++ (G-MLKM) for Sensory Pattern Analysis in Constrained Spaces. - Po Li, Lei Li, Yan Fu, Jun Rong, Yu Zhang:
Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation. - Yue Liu, Alex Colburn, Mehlika Inanici:
Deep Neural Network Approach for Annual Luminance Simulations. - Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni:
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. - Mohammad Abdul Hadi, Fatemeh H. Fard:
AOBTM: Adaptive Online Biterm Topic Modeling for Version Sensitive Short-texts Analysis. - Harshit Pande:
Field-Embedded Factorization Machines for Click-through rate prediction. - Song Cheng, Lei Wang, Pan Zhang:
Supervised Learning with Projected Entangled Pair States. - Markus D. Solbach, John K. Tsotsos:
PESAO: Psychophysical Experimental Setup for Active Observers. - Abhinav Sagar:
Monocular Depth Estimation Using Multi Scale Neural Network And Feature Fusion. - Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex:
Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes. - Michela Paganini:
Prune Responsibly. - Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng:
Applying a random projection algorithm to optimize machine learning model for breast lesion classification. - Wei Wang, Zhuoxu Cui, Dong Liang:
Is each layer non-trivial in CNN? - Umut Özkaya:
Automatic Target Recognition (ATR) from SAR Imaginary by Using Machine Learning Techniques. - Guan Li, Junpeng Wang, Han-Wei Shen, Kaixin Chen, Guihua Shan, Zhonghua Lu:
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics. - Yuning Du, Chenxia Li, Ruoyu Guo, Xiaoting Yin, Weiwei Liu, Jun Zhou, Yifan Bai, Zilin Yu, Yehua Yang, Qingqing Dang, Haoshuang Wang:
PP-OCR: A Practical Ultra Lightweight OCR System. - Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev:
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models. - Brandon Paulsen, Jingbo Wang, Jiawei Wang, Chao Wang:
NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation. - Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue. - Giacomo Como, Stéphane Durand, Fabio Fagnani:
Optimal Targeting in Super-Modular Games. - Nurul Huda Mahmood, Onel L. Alcaraz López, Hirley Alves, Matti Latva-aho:
A Predictive Interference Management Algorithm for URLLC in Beyond 5G Networks. - Lan N. Nguyen, My T. Thai:
Length-Bounded Paths Interdiction in Continuous Domain for Network Performance Assessment. - Renpeng Zou, Xixiang Lv, Jingsong Zhao:
SPChain: Blockchain-based Medical Data Sharing and Privacy-preserving eHealth System. - Xin Fang, Xiaoqing Sun, Jiahai Yang, Xinran Liu:
Domain-Embeddings Based DGA Detection with Incremental Training Method. - Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li:
Towards Fast, Accurate and Stable 3D Dense Face Alignment. - Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. - Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee, Chulhee Jang, Yongyun Choi, Junil Choi:
Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning. - Louis Dublois, Tesshu Hanaka, Mehdi Khosravian Ghadikolaei, Michael Lampis, Nikolaos Melissinos:
(In)approximability of Maximum Minimal FVS. - Qiuyuan Wang, Zike Yan, Junqiu Wang, Fei Xue, Wei Ma, Hongbin Zha:
Line Flow based SLAM. - Daniele Romanini, Sune Lehmann, Mikko Kivelä:
Privacy and Uniqueness of Neighborhoods in Social Networks. - Bharat Garhewal, Frits W. Vaandrager, Falk Howar, Timo Schrijvers, Toon Lenaerts, Rob Smits:
Grey-Box Learning of Register Automata. - Zongwei Wu, Guillaume Allibert, Christophe Stolz, Cédric Demonceaux:
Depth-Adapted CNN for RGB-D cameras. - Marcelin Tworski, Stéphane Lathuilière, Salim Belkarfa, Attilio Fiandrotti, Marco Cagnazzo:
DR2S : Deep Regression with Region Selection for Camera Quality Evaluation. - Suthee Ruangwises, Toshiya Itoh:
Physical Zero-Knowledge Proof for Ripple Effect. - George Awad, Asad A. Butt, Keith Curtis, Yooyoung Lee, Jonathan G. Fiscus, Afzal Godil, Andrew Delgado, Jesse Zhang, Eliot Godard, Lukas L. Diduch, Alan F. Smeaton, Yvette Graham, Wessel Kraaij, Georges Quénot:
TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval. - Niloofar Bayat, Cody Morrin, Yuheng Wang, Vishal Misra:
Synthetic Control, Synthetic Interventions, and COVID-19 spread: Exploring the impact of lockdown measures and herd immunity. - Mathieu Guillame-Bert, Sebastian Bruch, Petr Mitrichev, Petr Mikheev, Jan Pfeifer:
Modeling Text with Decision Forests using Categorical-Set Splits. - Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu:
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation. - Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Jian Xu, Xiao Xiang Zhu:
Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction. - Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn:
Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization. - Tom Tirer, Joan Bruna, Raja Giryes:
Kernel-Based Smoothness Analysis of Residual Networks. - Arnaud Cadas, Josu Doncel, Jean-Michel Fourneau, Ana Busic:
Flexibility can hurt dynamic matching system performance. - Akash Sengupta, Ignas Budvytis, Roberto Cipolla:
Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild. - Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra:
From Static to Dynamic Node Embeddings. - Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Animashree Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg:
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. - Giacomo Como, Fabio Fagnani, Lorenzo Zino:
Imitation dynamics in population games on community networks. - Stefan Achleitner, Quinn Burke, Patrick D. McDaniel, Trent Jaeger, Thomas La Porta, Srikanth V. Krishnamurthy:
MLSNet: A Policy Complying Multilevel Security Framework for Software Defined Networking. - Mirantha Jayathilaka, Tingting Mu, Uli Sattler:
Visual-Semantic Embedding Model Informed by Structured Knowledge. - Swaroop Ramaswamy, Om Thakkar, Rajiv Mathews, Galen Andrew, H. Brendan McMahan, Françoise Beaufays:
Training Production Language Models without Memorizing User Data. - Atrisha Sarkar, Krzysztof Czarnecki:
Solution Concepts in Hierarchical Games with Applications to Autonomous Driving. - Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad:
Force2Vec: Parallel force-directed graph embedding. - Erico S. P. Lopes, Lukas T. N. Landau:
Multiuser MIMO Systems with Discrete Precoding and Adjusted Soft Receiver Design with PSK Modulation. - Michael Eischer, Tobias Distler:
Resilient Cloud-based Replication with Low Latency. - Nieves R. Brisaboa, Ana Cerdeira-Pena, Guillermo de Bernardo, Antonio Fariña, Gonzalo Navarro:
Space/time-efficient RDF stores based on circular suffix sorting. - Congcong Wang, David Lillis:
UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media. - Alan Lundgard:
Measuring justice in machine learning. - Erick Petersen, Jorge López, Natalia Kushik, Claude Poletti, Djamal Zeghlache:
On using SMT-solvers for Modeling and Verifying Dynamic Network Emulators. - David Bamman, Patrick J. Burns:
Latin BERT: A Contextual Language Model for Classical Philology. - Doyup Lee, Yeongjae Cheon, Wook-Shin Han:
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering. - Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher:
Composed Variational Natural Language Generation for Few-shot Intents. - Hassan Mahmood, Asim Iqbal, Syed Mohammed Shamsul Islam:
Exploring Intensity Invariance in Deep Neural Networks for Brain Image Registration. - Wenjie Bai, Jeremiah Blocki, Benjamin Harsha:
Information Signaling: A Counter-Intuitive Defense Against Password Cracking. - Gabriele Farina, Andrea Celli, Nicola Gatti, Tuomas Sandholm:
Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games. - Firuz Kamalov, Ikhlaas Gurrib:
Machine learning based forecasting of significant daily returns in foreign exchange markets. - Dengpan Fu, Bo Xin, Jingdong Wang, Dongdong Chen, Jianmin Bao, Gang Hua, Houqiang Li:
Improving Person Re-identification with Iterative Impression Aggregation. - Shengdong Zhang, Shihui You, Longfei Chen, Xiaofei Liu:
Analysis of tunnel failure characteristics under multiple explosion loads based on persistent homology-based machine learning. - Denisa A. O. Roberts, Lucas R. Roberts:
QR and LQ Decomposition Matrix Backpropagation Algorithms for Square, Wide, and Deep Matrices and Their Software Implementation. - Liang Chen, M.-H. Herman Shen:
Topology Optimization through Differentiable Finite Element Solver. - Dattaraj Rao:
Contextual Bandits for adapting to changing User preferences over time. - John Armstrong, Tim King:
Curved Schemes for SDEs on Manifolds. - Franklin Mendivil, Örjan Stenflo:
Extreme compression of grayscale images. - Norbert Hegyvári:
On uncertainty inequalities related to subcube partitions and additive energy. - Mickaël Arcos:
Claraprint: a chord and melody based fingerprint for western classical music cover detection. - Joseph Sweeney, Marijn J. H. Heule, Lawrence T. Pileggi:
Modeling Techniques for Logic Locking. - Sarah Jabbour, David Fouhey, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens:
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts. - Silviu Maniu, Stratis Ioannidis, Bogdan Cautis:
Bandits Under The Influence (Extended Version). - Alex Wong, Mukund Mundhra, Stefano Soatto:
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations. - Gautam Raj Mode, Khaza Anuarul Hoque:
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version). - René Mayrhofer, Vishwath Mohan, Stephan Sigg:
Adversary Models for Mobile Device Authentication. - Anastasiia Butko, Ilyas Turimbetov, George Michelogiannakis, David Donofrio, Didem Unat, John Shalf:
TIGER: Topology-aware Assignment using Ising machines Application to Classical Algorithm Tasks and Quantum Circuit Gates. - Patrick Spracklen, Nguyen Dang, Özgür Akgün, Ian Miguel:
Towards Portfolios of Streamlined Constraint Models: A Case Study with the Balanced Academic Curriculum Problem. - Shweta Yadav, Usha Lokala, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Francois R. Lamy, Amit P. Sheth:
"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction. - Özgür Akgün, Nguyen Dang, Joan Espasa, Ian Miguel, András Z. Salamon, Christopher Stone:
Exploring Instance Generation for Automated Planning. - Jamie O'Hare, Lynsay A. Shepherd:
Proposal of a Novel Bug Bounty Implementation Using Gamification. - Zeev Nutov:
On rooted k-connectivity problems in quasi-bipartite digraphs. - Arman Alahyari, Anton Hinneck, Rahim Tariverdi, David Pozo:
Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach. - Han Wu, Zhi Yan:
Time-of-Flight LiDAR-based Precise Mapping. - Jose de Jesus Rugeles, Edward Paul Guillen, Leonardo S. Cardoso:
A Technical Review of Wireless security for the Internet of things: Software Defined Radio perspective. - Sonal Mahajan, Negarsadat Abolhassani, Mukul R. Prasad:
Recommending Stack Overflow Posts for Fixing Runtime Exceptions using Failure Scenario Matching. - Gianmarco Mengaldo, David Moxey, Michael Turner, Rodrigo Costa Moura, Ayad Jassim, Mark Taylor, Joaquim Peiró, Spencer J. Sherwin:
Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods. - Rayson Laroca, Alessandra B. Araujo, Luiz A. Zanlorensi, Eduardo C. de Almeida, David Menotti:
Towards image-based automatic meter reading in unconstrained scenarios: A robust and efficient approach. - Javad Mohammadi, Jesse Thornburg:
Connecting Distributed Pockets of EnergyFlexibility through Federated Computations: Limitations and Possibilities. - Suat Mercan, Kemal Akkaya, Lisa Cain, John Thomas:
Security, Privacy and Ethical Concerns of IoT Implementations in Hospitality Domain. - Hannah Kerner, Ritvik Sahajpal, Sergii Skakun, Inbal Becker-Reshef, Brian Barker, Mehdi Hosseini, Estefania Puricelli, Patrick C. Gray:
Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization. - Somrita Banerjee, James Harrison, P. Michael Furlong, Marco Pavone:
Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics. - Colin M. Gray, Cristiana Santos, Nataliia Bielova, Michael Toth, Damian Clifford:
Dark Patterns and the Legal Requirements of Consent Banners: An Interaction Criticism Perspective. - Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi:
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness. - Min Shi, David A. Wilson, Xingquan Zhu, Yu Huang, Yuan Zhuang, Jianxun Liu, Yufei Tang:
Evolutionary Architecture Search for Graph Neural Networks. - Zhengxian He, Mohit Narayan Rajput, Mustaque Ahamad:
Using Inaudible Audio and Voice Assistants to Transmit Sensitive Data over Telephony. - Ojas Kanhere, Theodore S. Rappaport:
Millimeter Wave Position Location using Multipath Differentiation for 3GPP using Field Measurements. - Mohammad Sadegh Rasooli, Pegah Safari, Amirsaeid Moloodi, Alireza Nourian:
The Persian Dependency Treebank Made Universal. - Adithya Murali, Lucas Peña, Christof Löding, P. Madhusudan:
Synthesizing Lemmas for Inductive Reasoning. - Prerit Terway, Kenza Hamidouche, Niraj K. Jha:
DISPATCH: Design Space Exploration of Cyber-Physical Systems. - Haotian Jiang, Tarun Kathuria, Yin Tat Lee, Swati Padmanabhan, Zhao Song:
A Faster Interior Point Method for Semidefinite Programming. - Boris Kovalerchuk, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Survey of explainable machine learning with visual and granular methods beyond quasi-explanations. - Luis A. Pineda:
Entropy, Computing and Rationality. - Xiaofei Zhou, Jessica Van Brummelen, Phoebe Lin:
Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework. - Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He:
An Empirical Study on Neural Keyphrase Generation. - Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding:
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers. - Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding:
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. - Alex Brik:
Splitting a Hybrid ASP Program. 21-34 - Esra Erdem, Andreas Herzig:
Solving Gossip Problems using Answer Set Programming: An Epistemic Planning Approach. 52-58 - Joaquín Arias, Manuel Carro, Zhuo Chen, Gopal Gupta:
Justifications for Goal-Directed Constraint Answer Set Programming. 59-72 - Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Gopal Gupta:
SQuARE: Semantics-based Question Answering and Reasoning Engine. 73-86 - Michael Dingess, Miroslaw Truszczynski:
Automated Aggregator - Rewriting with the Counting Aggregate. 96-109 - Paul Tarau, Valeria de Paiva:
Deriving Theorems in Implicational Linear Logic, Declaratively. 110-123 - Pedro Cabalar, Jorge Fandinno, Brais Muñiz:
A System for Explainable Answer Set Programming. 124-136 - Ridhwan Dewoprabowo, Ari Saptawijaya:
Tabling Optimization for Contextual Abduction. 137-150 - Roberta Calegari, Giovanni Sartor:
Burden of Persuasion in Argumentation. 151-163 - Stefano Forti, Antonio Brogi:
Continuous Reasoning for Managing Next-Gen Distributed Applications. 164-177 - Tobias Geibinger, Hans Tompits:
Sequent-Type Calculi for Systems of Nonmonotonic Paraconsistent Logics. 178-191 - Tuan Nguyen Quoc, Katsumi Inoue, Chiaki Sakama:
Enhancing Linear Algebraic Computation of Logic Programs Using Sparse Representation. 192-205 - Wolf De Wulf, Bart Bogaerts:
LP2PB: Translating Answer Set Programs into Pseudo-Boolean Theories. 206-219 - Basem Atiq, Volkan Patoglu, Esra Erdem:
Dynamic Multi-Agent Path Finding based on Conflict Resolution using Answer Set Programming. 223-229 - Stefania Costantini, Lorenzo De Lauretis:
An application of Answer Set Programming in Distributed Architectures: ASP Microservices. 230-243 - Yuri Gil Dantas, Antoaneta Kondeva, Vivek Nigam:
Less Manual Work for Safety Engineers: Towards an Automated Safety Reasoning with Safety Patterns. 244-257 - Elena Mastria, Jessica Zangari, Simona Perri, Francesco Calimeri:
A Machine Learning guided Rewriting Approach for ASP Logic Programs. 261-267 - Alessandro Bertagnon:
Constraint Programming Algorithms for Route Planning Exploiting Geometrical Information. 286-295 - Finn Teegen:
Research Summary on Implementing Functional Patterns by Synthesizing Inverse Functions. 296-302 - Thomas Prokosch:
A Low-Level Index for Distributed Logic Programming. 303-312 - Zhun Yang:
Extending Answer Set Programs with Neural Networks. 313-322 - Weixin Liang, James Zou, Zhou Yu:
ALICE: Active Learning with Contrastive Natural Language Explanations. - Gene Patrick S. Rible, Nicolette Ann A. Arriola, Manuel C. Ramos Jr.:
Fail-Safe Controller Architectures for Quadcopter with Motor Failures. - Tran Phuong Thao:
Influences of Temporal Factors on GPS-based Human Mobility Lifestyle. - Tamás G. Molnár, Andrew W. Singletary, Gábor Orosz, Aaron D. Ames:
Safety-Critical Control of Compartmental Epidemiological Models with Measurement Delays. - Juan Carrillo, Daniel Garijo, Mark Crowley, Rober Carrillo, Yolanda Gil, Katherine Borda:
Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees. - Ankit Agrawal, Jan-Philipp Steghöfer, Jane Cleland-Huang:
Model-Driven Requirements for Humans-on-the-Loop Multi-UAV Missions. - Tra Huong Thi Le, Nguyen Hoang Tran, Yan Kyaw Tun, Minh N. H. Nguyen, Shashi Raj Pandey, Zhu Han, Choong Seon Hong:
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach. - Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Embedding-based Zero-shot Retrieval through Query Generation. - Shivam Handa, Martin C. Rinard:
Inductive Program Synthesis Over Noisy Data. - Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. - Chris J. Kennedy, Geoff Bacon, Alexander Sahn, Claudia von Vacano:
Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application. - Kovila P. L. Coopamootoo:
Usage Patterns of Privacy-Enhancing Technologies. - Juan Carrillo, Mark Crowley, Guangyuan Pan, Liping Fu:
Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data. - Riley M. Whebell, Timothy J. Moroney, Ian W. Turner, Ravindra Pethiyagoda, Scott W. McCue:
Implicit reconstructions of thin leaf surfaces from large, noisy point clouds. - Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao:
Towards Causal Explanation Detection with Pyramid Salient-Aware Network. - Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao:
Event Coreference Resolution via a Multi-loss Neural Network without Using Argument Information. - Ty Nguyen, Ian D. Miller, Avi Cohen, Dinesh Thakur, Shashank Prasad, Arjun Guru, Camillo J. Taylor, Pratik Chaudrahi, Vijay Kumar:
PennSyn2Real: Training Object Recognition Models without Human Labeling. - Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu:
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss. - Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, Shuai Ma:
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis. - Alon Y. Halevy, Cristian Canton-Ferrer, Hao Ma, Umut Ozertem, Patrick Pantel, Marzieh Saeidi, Fabrizio Silvestri, Ves Stoyanov:
Preserving Integrity in Online Social Networks. - Ambareesh Ravi:
Stacked Generalization for Human Activity Recognition. - Aneesh Vartakavi, Amanmeet Garg:
PodSumm - Podcast Audio Summarization. - Sirat Samyoun, Sudipta Saha Shubha, Md. Abu Sayeed Mondol, John A. Stankovic:
iWash: A Smartwatch Handwashing Quality Assessment and Reminder System with Real-time Feedback in the Context of Infectious Disease. - Yuanda Zhu, Ying Sha, Hang Wu, Mai Li, Ryan A. Hoffman, May D. Wang:
Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation. - Jugal Garg, Thorben Tröbst, Vijay V. Vazirani:
An Arrow-Debreu Extension of the Hylland-Zeckhauser Scheme: Equilibrium Existence and Algorithms. - Zhi Chen, Lu Chen, Xiang Zhou, Kai Yu:
Deep Reinforcement Learning for On-line Dialogue State Tracking. - Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu:
Learning Image Labels On-the-fly for Training Robust Classification Models. - Zhi Chen, Lu Chen, Xiaoyuan Liu, Kai Yu:
Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management. - (Withdrawn) Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF Engines: A Survey.
- Aanchal Mongia, Stuti Jain, Emilie Chouzenoux, Angshul Majumdar:
DeepVir - Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19. - Amin Babadi, Michiel van de Panne, C. Karen Liu, Perttu Hämäläinen:
Learning Task-Agnostic Action Spaces for Movement Optimization. - Weitao Feng, Zhihao Hu, Baopu Li, Weihao Gan, Wei Wu, Wanli Ouyang:
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure. - Tao Ji, Liqian Chen, Xiaoguang Mao, Xin Yi, Jiahong Jiang:
Evolutionary Conflict Checking. - Firuz Kamalov, Dmitry Denisov:
Gamma distribution-based sampling for imbalanced data. - Cristian Galleguillos, Zeynep Kiziltan, Ricardo Soto:
A Constraint Programming-based Job Dispatcher for Modern HPC Systems and Applications. - Clark A. Pennie, Irene M. Gamba:
Convergence and Error Estimates for the Conservative Spectral Method for Fokker-Planck-Landau Equations. - Sanjana Dey, Florent Foucaud, Subhas C. Nandy, Arunabha Sen:
Discriminating Codes in Geometric Setups. - Zhi Chen, Xiaoyuan Liu, Lu Chen, Kai Yu:
Structured Hierarchical Dialogue Policy with Graph Neural Networks. - Difeng Wang, Wei Hu, Ermei Cao, Weijian Sun:
Global-to-Local Neural Networks for Document-Level Relation Extraction. - Wolfgang Paier, Anna Hilsmann, Peter Eisert:
Neural Face Models for Example-Based Visual Speech Synthesis. - Diego Álvarez-Estévez, Roselyne M. Rijsman:
Inter-database validation of a deep learning approach for automatic sleep scoring. - Ping-En Lu, Cheng-Shang Chang:
Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation. - Sören Henning, Wilhelm Hasselbring, Heinz Burmester, Armin Möbius, Maik Wojcieszak:
Goals and Measures for Analyzing Power Consumption Data in Manufacturing Enterprises. - Bassem Seddik, Najoua Essoukri Ben Amara:
Visual Methods for Sign Language Recognition: A Modality-Based Review. - Michele Linardi, Themis Palpanas:
Scalable Data Series Subsequence Matching with ULISSE. - Xiaofan Li, Rui Zhou, Lu Chen, Chengfei Liu, Qiang He, Yun Yang:
Efficiently Finding a Maximal Clique Summary via Effective Sampling. - Md. Aminur Rab Ratul, Maryam Tavakol Elahi, Mohammad Hamed Mozaffari, Won-Sook Lee:
PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure. - Joel Klinger, Juan Mateos-Garcia, Konstantinos Stathoulopoulos:
A narrowing of AI research? - Richard Moot, Symon Jory Stevens-Guille:
Logical foundations for hybrid type-logical grammars. - Jingwen He, Yihao Liu, Yu Qiao, Chao Dong:
Conditional Sequential Modulation for Efficient Global Image Retouching. - Kushagra Rastogi, Jonathan Lee, Fabrice Harel-Canada, Aditya Joglekar:
Is Q-Learning Provably Efficient? An Extended Analysis. - Jinao Zhang, Remi Jacob Lay, Stuart K. Roberts, Sunita Chauhan:
Towards real-time finite-strain anisotropic thermo-visco-elastodynamic analysis of soft tissues for thermal ablative therapy. - Weishan Zhang, Tao Zhou, Qinghua Lu, Xiao Wang, Chunsheng Zhu, Haoyun Sun, Zhipeng Wang, Sin Kit Lo, Feiyue Wang:
Dynamic Fusion based Federated Learning for COVID-19 Detection. - Qian Long, Hui Yu, Fuhong Xie, Ning Lu, David Lubkeman:
Diesel Generator Model Parameterization for Microgrid Simulation Using Hybrid Box-Constrained Levenberg-Marquardt Algorithm. - Zhi Chen, Lu Chen, Yanbin Zhao, Su Zhu, Kai Yu:
Dual Learning for Dialogue State Tracking. - Haoyu Tang, Jihua Zhu, Meng Liu, Zan Gao, Zhiyong Cheng:
Frame-wise Cross-modal Match for Video Moment Retrieval. - Zhi Chen, Lu Chen, Zihan Xu, Yanbin Zhao, Su Zhu, Kai Yu:
CREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking. - Michael Taylor:
Open Access Books in the Humanities and Social Sciences: an Open Access Altmetric Advantage. - Alberto Parravicini, Francesco Sgherzi, Marco D. Santambrogio:
A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA. - Manuel Aiple, Andre Schiele, Frans C. T. van der Helm:
Self-Adapting Variable Impedance Actuator Control for Precision and Dynamic Tasks. - Hwaran Lee, Seokhwan Jo, HyungJun Kim, Sangkeun Jung, Tae-Yoon Kim:
SUMBT+LaRL: End-to-end Neural Task-oriented Dialog System with Reinforcement Learning. - Daniel Hurtado Ramírez, J. M. Auñón:
Privacy Preserving K-Means Clustering: A Secure Multi-Party Computation Approach. - Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Performance Indicator in Multilinear Compressive Learning. - William B. Langdon:
Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming. - Hao Zhang, Joey Tianyi Zhou, Tianying Wang, Ivor W. Tsang, Rick Siow Mong Goh:
Deep N-ary Error Correcting Output Codes. - Ivan Tishchenko, Sandro Lombardi, Martin R. Oswald, Marc Pollefeys:
Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion. - Xiong Dan:
Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction. - Jonathan D. Gammell, Marlin P. Strub:
A Survey of Asymptotically Optimal Sampling-based Motion Planning Methods. - Alexander Kern, Markus Bobbe, Yogesh Khedar, Ulf Bestmann:
OpenREALM: Real-time Mapping for Unmanned Aerial Vehicles. - Tesshu Hanaka, Kazuma Kawai, Hirotaka Ono:
Computing L(p, 1)-Labeling with Combined Parameters. - Nijat Mehdiyev, Peter Fettke:
Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing. - Panagiotis Oikonomou, Kostas Kolomvatsos, Nikos Tziritas, Georgios Theodoropoulos, Thanasis Loukopoulos, Georgios I. Stamoulis:
A Fuzzy Logic Controller for Tasks Scheduling Using Unreliable Cloud Resources. - Marijn van Knippenberg, Mike Holenderski, Vlado Menkovski:
Complex Vehicle Routing with Memory Augmented Neural Networks. - Edgar Riba, Dmytro Mishkin, J. Shi, Daniel Ponsa, Francesc Moreno-Noguer, Gary R. Bradski:
A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. - Javad Hassannataj Joloudari, Mojtaba Haderbadi, Amir Mashmool, Mohammad GhasemiGol, Shahab S. Band, Amir Mosavi:
Early detection of the advanced persistent threat attack using performance analysis of deep learning. - Ron Levie, Haim Avron:
Randomized Continuous Frames in Time-Frequency Analysis. - Joong-Won Hwang, Youngwan Lee, Sungchan Oh, Yuseok Bae:
Adversarial Training with Stochastic Weight Average. - Mohit Singh, Alexander Shapiro, Rui Zhang:
Rank one tensor completion problem. - Yaguan Qian, Qiqi Shao, Jiamin Wang, Xiang Ling, Yankai Guo, Zhaoquan Gu, Bin Wang, Chunming Wu:
EI-MTD: Moving Target Defense for Edge Intelligence against Adversarial Attacks. - Daoud Clarke:
Context-theoretic Semantics for Natural Language: an Algebraic Framework. - Tao Wang, Ying Yang, Tieqiao Tang, Xiaobo Qu:
An unnoticed side effect of electric vehicles. - Vishist Srivastava, Prashant Yadav, Ajuni Singh:
Football and externalities: Using mathematical modelling to predict the changing fortunes of Newcastle United. - Johan Östman, Alejandro Lancho, Giuseppe Durisi, Luca Sanguinetti:
URLLC with Massive MIMO: Analysis and Design at Finite Blocklength. - Huaishao Luo, Lei Ji, Tianrui Li, Nan Duan, Daxin Jiang:
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. - Anjukan Kathirgamanathan, Kacper Twardowski, Eleni E. Mangina, Donal Finn:
A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn. - Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
GraphCrop: Subgraph Cropping for Graph Classification. - Ruizhe Gu, Ping Wang, Mengce Zheng, Honggang Hu, Nenghai Yu:
Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks. - Ozan Unal, Luc Van Gool, Dengxin Dai:
Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation. - Steffen van Bergerem, Nicole Schweikardt:
Learning Concepts Described by Weight Aggregation Logic. - Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi:
Ethical Machine Learning in Health Care. - Jonathan Hasenburg, Martin Grambow, David Bermbach:
MockFog 2.0: Automated Execution of Fog Application Experiments in the Cloud. - Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu:
Heuristic Rank Selection with Progressively Searching Tensor Ring Network. - Guozhang Chen, Cheng Kevin Qu, Pulin Gong:
Anomalous diffusion dynamics of learning in deep neural networks. - Catherine Ordun, Edward Raff, Sanjay Purushotham:
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data. - Veljko Milutinovic, Milos Kotlar, Ivan Ratkovic, Nenad Korolija, Miljan Djordjevic, Kristy Yoshimoto, Erik Klem, Mateo Valero:
The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chips. - Shuai Yu, Xu Chen, Zhi Zhou, Xiaowen Gong, Di Wu:
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network. - Yue Zhao, Ryan A. Rossi, Leman Akoglu:
Automating Outlier Detection via Meta-Learning. - Igor Khmelnitsky, Daniel Neider, Rajarshi Roy, Benoît Barbot, Benedikt Bollig, Alain Finkel, Serge Haddad, Martin Leucker, Lina Ye:
Property-Directed Verification of Recurrent Neural Networks. - Babloo Kumar, Sayantari Ghosh:
Detection Of Concrete Cracks using Dual-channel Deep Convolutional Network. - Larry Muhlstein:
The Relativity of Induction. - Mohammad Awis Al Lababede, Anas H. Blasi, Mohammed Alsuwaiket:
Mosques Smart Domes System using Machine Learning Algorithms. - Odikwa Henry, Ifeanyi-Reuben Nkechi, Thom-Manuel Osaki Miller:
An Enhanced Geo Location Technique for Social Network Communication System. - Fauzi Adi Rafrastara, Deyu Qi:
A Survey and Taxonomy of Distributed Data Mining Research Studies: A Systematic Literature Review. - Chongshou Li, Brenda Cheang, Zhixing Luo, Andrew Lim:
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting. - Ferran Alet, Kenji Kawaguchi, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. - Petru Soviany:
Curriculum Learning with Diversity for Supervised Computer Vision Tasks. - Antoine Vendeville, Benjamin Guedj, Shi Zhou:
Forecasting elections results via the voter model with stubborn nodes. - Tam W. Nguyen, Syed Aseem Ul Islam, Dennis S. Bernstein, Ilya V. Kolmanovsky:
Output-Feedback Model Predictive Control with Online Identification. - Armin Moin, Stephan Rössler, Marouane Sayih, Stephan Günnemann:
From Things' Modeling Language (ThingML) to Things' Machine Learning (ThingML2). - Armin Moin, Stephan Rössler, Stephan Günnemann:
ThingML+ Augmenting Model-Driven Software Engineering for the Internet of Things with Machine Learning. - Hans J. G. A. Dolfing:
Whole page recognition of historical handwriting. - Armin Moin:
Domain Specific Modeling (DSM) as a Service for the Internet of Things & Services. - Armin Moin:
Sense-Deliberate-Act Cognitive Agents for Sense-Compute-Control Applications in the Internet of Things & Services. - Yi-Shan Lin, Wen-Chuan Lee, Z. Berkay Celik:
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors. - Jesús Arroyo, Elizaveta Levina:
Overlapping community detection in networks via sparse spectral decomposition. - Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel:
mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks. - Gabriela Cavalcante da Silva, Sabrina M. Oliveira, Elizabeth F. Wanner, Leonardo C. T. Bezerra:
Google COVID-19 community mobility reports: insights from multi-criteria decision making. - Franyell Silfa, José-María Arnau, Antonio González:
E-BATCH: Energy-Efficient and High-Throughput RNN Batching. - Jesper Olsson, Erik Risfelt, Terese Besker, Antonio Martini, Richard Torkar:
Measuring affective states from technical debt: A psychoempirical software engineering experiment. - Ionut Mironica:
A Generative Adversarial Approach with Residual Learning for Dust and Scratches Artifacts Removal. - Joel Wanner, Laurent Chuat, Adrian Perrig:
A Formally Verified Protocol for Log Replication with Byzantine Fault Tolerance. - Zhi Feng, Guoqiang Hu:
Attack-Resilient Distributed Algorithms for Exponential Nash Equilibrium Seeking. - Jens Dittrich, Joris Nix, Christian Schön:
There is No Such Thing as an "Index"! or: The next 500 Indexing Papers. - Rohit Singh, Doug Sicker:
Ultra-dense Low Data Rate (UDLD) Communication in the THz. - Joshua Brakensiek, Neng Huang, Aaron Potechin, Uri Zwick:
On the Mysteries of MAX NAE-SAT. - Manish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón:
An embedded deep learning system for augmented reality in firefighting applications. - Wei Zhu, Xipeng Qiu, Yuan Ni, Guotong Xie:
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search. - Lin Chen, Sheng Xu:
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS. - Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! - Greg Yang:
Tensor Programs III: Neural Matrix Laws. - Vasyliy I. Gurianov:
Simulation model of spacetime with the Minkowski metric. - Brendan Reidy, Golareh Jalilvand, Tengfei Jiang, Ramtin Zand:
TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks. - Léopold Cambier, Yizhou Qian, Eric Darve:
TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++. - Zhi Feng, Guoqiang Hu:
Fault-Tolerant Formation Tracking of Heterogeneous Multi-Agent Systems with Time-Varying Actuator Faults and Its Application to Task-Space Cooperative Tracking of Manipulators. - L. Balaji, K. K. Thyagharajan:
H.264/SVC Mode Decision Based on Mode Correlation and Desired Mode List. - Donglai Xiang, Fabian Prada, Chenglei Wu, Jessica K. Hodgins:
MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video. - Weinan E, Chao Ma, Stephan Wojtowytsch, Lei Wu:
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't. - Margalit Glasgow, Mary Wootters:
Asynchronous Distributed Optimization with Randomized Delays. - Cheng Chen, Ziyi Chen, Yi Zhou, Bhavya Kailkhura:
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling. - Jakob Weissteiner, Chris Wendler, Sven Seuken, Benjamin Lubin, Markus Püschel:
Fourier Analysis-based Iterative Combinatorial Auctions. - Bing Liu, Sahisnu Mazumder:
Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job. - Patrik Jonell, Taras Kucherenko, Ilaria Torre, Jonas Beskow:
Can we trust online crowdworkers? Comparing online and offline participants in a preference test of virtual agents. - David G. Harris, Hsin-Hao Su, Hoa T. Vu:
On the Locality of Nash-Williams Forest Decomposition and Star-Forest Decomposition. - Hongjun Choi, Anirudh Som, Pavan K. Turaga:
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification. - Seikh Mazharul Islam, Sk Md Mosaddek Hossain, Sumanta Ray:
DTI-SNNFRA: Drug-Target interaction prediction by shared nearest neighbors and fuzzy-rough approximation. - Cesar Santoyo, Gustav Nilsson, Samuel Coogan:
Resource Aware Pricing for Electric Vehicle Charging. - Yiyi Huang:
Jagged-time-step technique improving convergence order of Fernandez's Explicit Robin-Neumann scheme for the coupling of incompressible fluid with thin-walled structure. - Yun Ai, Marshed Mohamed, Long Kong, A. Al-Samen, Michael Cheffena:
On Hybrid-ARQ-Based Intelligent Reflecting Surface-Assisted Communication System. - S. Kavitha, K. K. Thyagharajan:
Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation. - Danqing Zhang, Tao Li, Haiyang Zhang, Bing Yin:
On Data Augmentation for Extreme Multi-label Classification. - Seamus Brady:
Using Unsupervised Learning to Help Discover the Causal Graph. - Zhengzhong Liang, Yiyun Zhao, Mihai Surdeanu:
Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering. - Ehsan Doostmohammadi, Hossein Sameti, Ali Saffar:
Ghmerti at SemEval-2019 Task 6: A Deep Word- and Character-based Approach to Offensive Language Identification. - Ehsan Doostmohammadi, Minoo Nassajian:
Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts. - Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. - Zander Majercik, Adam Marrs, Josef B. Spjut, Morgan McGuire:
Scaling Probe-Based Real-Time Dynamic Global Illumination for Production. - Sebastián Gómez Macías, Luciano Paschoal Gaspary, Juan Felipe Botero:
ORACLE: Collaboration of Data and Control Planes to Detect DDoS Attacks. - Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn:
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data. - Susheel Suresh, Jennifer Neville:
A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs. - Nemania Borovits, Indika Kumara, Parvathy Krishnan, Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel:
DeepIaC: Deep Learning-Based Linguistic Anti-pattern Detection in IaC. - Dimitra Karanatsiou, Pavlos Sermpezis, Jon Gruda, Konstantinos Kafetsios, Ilias Dimitriadis, Athena Vakali:
My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks. - Jeffrey M. Hokanson:
Multivariate Rational Approximation Using a Stabilized Sanathanan-Koerner Iteration. - Fatima Zahra Yamani, Mohamed El Merouani:
A Model-Driven Architecture Approach for Developing Healthcare ERP: Case study in Morocco. - Anuj Tiwari, Arya V. Dadhania, Vijay Avin Balaji Ragunathrao, Edson R. A. Oliveira:
Using Machine Learning to Develop a Novel COVID-19 Vulnerability Index (C19VI). - John Burkardt, Yixuan Wu, Yanzhi Zhang:
A unified meshfree pseudospectral method for solving both classical and fractional PDEs. - M. Amine Mahmoudi, Aladine Chetouani, Fatma Boufera, Hedi Tabia:
Kernelized dense layers for facial expression recognition. - Ritam Dutt, Rishabh Joshi, Carolyn Penstein Rosé:
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions. - Jorge López, Maxime Labonne, Claude Poletti, Dallal Belabed:
Priority Flow Admission and Routing in SDN: Exact and Heuristic Approaches. - Jia Xue, Matthew Purri, Kristin J. Dana:
Angular Luminance for Material Segmentation. - Rui Yu, Zhenyuan Yuan, Minghui Zhu, Zihan Zhou:
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks. - Aniko Hannak, Kenneth Joseph, Andrei Cimpian, Daniel B. Larremore:
Explaining Gender Differences in Academics' Career Trajectories. - John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani:
Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models. - James Melbourne:
Strongly Convex Divergences. - Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann:
Message Passing for Hyper-Relational Knowledge Graphs. - Eric Michael Smith, Diana Gonzalez-Rico, Emily Dinan, Y-Lan Boureau:
Controlling Style in Generated Dialogue. - Joy Hsu, Sonia Phene, Akinori Mitani, Jieying Luo, Naama Hammel, Jonathan Krause, Rory Sayres:
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation. - Ankit Srivastava, Samira Pouyanfar, Joshua Allen, Ken Johnston, Qida Ma:
Distributed Differentially Private Mutual Information Ranking and Its Applications. - Anthony P. Austin, Noel Chalmers, Tim Warburton:
Initial Guesses for Sequences of Linear Systems in a GPU-Accelerated Incompressible Flow Solver. - Kyle Doney, Aikaterini Petridou, Jacob Karaul, Ali Khan, Geoffrey Liu, John Rieffel:
Behavioral Repertoires for Soft Tensegrity Robots. - Baojian Zhou, Yiming Ying, Steven Skiena:
Online AUC Optimization for Sparse High-Dimensional Datasets. - Ue-Hwan Kim, Dongho Ka, Hwasoo Yeo, Jong-Hwan Kim:
A Real-time Vision Framework for Pedestrian Behavior Recognition and Intention Prediction at Intersections Using 3D Pose Estimation. - Seyyed Mostafa Mousavi Janbeh Sarayi, Saman Tavana, Morad Karimpour, Mansour Nikkhah Bahrami:
Analytical Inverse For The Symmetric Circulant Tridiagonal Matrix. - Bingcong Li, Xin Tang, Xianbiao Qi, Yihao Chen, Rong Xiao:
Hamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition. - Lucas M. Tabajara, Moshe Y. Vardi:
LTLf Synthesis under Partial Observability: From Theory to Practice. 1-17 - Oebele Lijzenga, Tom van Dijk:
Symbolic Parity Game Solvers that Yield Winning Strategies. 18-32 - Mara Downing, Abtin Molavi, Lucas Bang:
Symbolic Execution + Model Counting + Entropy Maximization = Automatic Search Synthesis. 50-65 - Can Baskent:
A Game Theoretical Semantics for Logics of Nonsense. 66-81 - Lauri Hella, Antti Kuusisto, Raine Rönnholm:
Bounded Game-Theoretic Semantics for Modal Mu-Calculus and Some Variants. 82-96 - Florian Bruse, Jörg Kreiker, Martin Lange, Marco Sälzer:
Local Higher-Order Fixpoint Iteration. 97-113 - Jan Kretínský, Emanuel Ramneantu, Alexander Slivinskiy, Maximilian Weininger:
Comparison of Algorithms for Simple Stochastic Games. 131-148 - Andrew M. Wells, Morteza Lahijanian, Lydia E. Kavraki, Moshe Y. Vardi:
LTLf Synthesis on Probabilistic Systems. 166-181 - Bader Abu Radi, Orna Kupferman:
Canonicity in GFG and Transition-Based Automata. 199-215 - Íñigo X. Íncer Romeo, Leonardo Mangeruca, Tiziano Villa, Alberto L. Sangiovanni-Vincentelli:
The Quotient in Preorder Theories. 216-233 - Amin Shojaeighadikolaei, Arman Ghasemi, Kailani R. Jones, Alexandru G. Bardas, Morteza Hashemi, Reza Ahmadi:
Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning. - Pengju Zhang, Yihong Wu, Bingxi Liu:
Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization. - Ziqiang Shi, Liu Liu, Rujie Liu, Xiaoyu Mi, Kentaro Murase:
LoRRaL: Facial Action Unit Detection Based on Local Region Relation Learning. - Najeeb Khan, Ian Stavness:
Pruning Convolutional Filters using Batch Bridgeout. - Chloe Ching-Yun Hsu, Celestine Mendler-Dünner, Moritz Hardt:
Revisiting Design Choices in Proximal Policy Optimization. - Arman Ghasemi, Amin Shojaeighadikolaei, Kailani R. Jones, Morteza Hashemi, Alexandru G. Bardas, Reza Ahmadi:
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids. - Mohammadhadi Mansourianfar, Ziyuan Gu, S. Travis Waller, Meead Saberi:
Joint routing and pricing control of autonomous vehicles in mixed equilibrium simulation-based dynamic traffic assignment. - Tianya Li, Yongpeng Wu, Mengfan Zheng, Dongming Wang, Wenjun Zhang:
SPARC-LDPC Coding for MIMO Massive Unsourced Random Access. - Lv Tang, Bo Li:
CLASS: Cross-Level Attention and Supervision for Salient Objects Detection. - Noel Chalmers, Tim Warburton:
Portable high-order finite element kernels I: Streaming Operations. - Zhuoran Ma, Jianfeng Ma, Yinbin Miao, Ximeng Liu, Kim-Kwang Raymond Choo, Robert H. Deng:
Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud. - Anjana Ambika Mahesh, B. Sundar Rajan:
A Coded Caching Scheme with Linear Sub-packetization and its Application to Multi-Access Coded Caching. - Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin:
FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads. - Daisuke Yokota, Yuichi Sudo, Toshimitsu Masuzawa:
Time-Optimal Self-Stabilizing Leader Election on Rings in Population Protocols. - Pablo Barenbaum, Federico Lochbaum, Mariana Milicich:
Semantics of a Relational λ-Calculus (Extended Version). - Xinyi Zhang, Jiahao Xu, Charlie Soh, Lihui Chen:
LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural Network. - Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf:
Scene Graph to Image Generation with Contextualized Object Layout Refinement. - Punam Bedi, Neha Gupta, Vinita Jindal:
I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems. - Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao:
Exploring global diverse attention via pairwise temporal relation for video summarization. - Zehan Zhang, Ming Zhang, Zhidong Liang, Xian Zhao, Ming Yang, Wenming Tan, Shiliang Pu:
MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion. - Glebys T. Gonzalez, Juan P. Wachs:
PICs for TECH: Pose Imitation Constraints (PICs) for TEaching Collaborative Heterogeneous robots (TECH). - Antoni C. Navarro, Arthur Francisco Lorenzon, Eduard Ayguadé, Vicenç Beltran:
Enhancing Resource Management through Prediction-based Policies. - Junshan Wang, Guojie Song, Yi Wu, Liang Wang:
Streaming Graph Neural Networks via Continual Learning. - Tianhui Shi, Mingshu Zhai, Yi Xu, Jidong Zhai:
GraphPi: High Performance Graph Pattern Matching through Effective Redundancy Elimination. - Keisuke Kanda, Brian Kenji Iwana, Seiichi Uchida:
What is the Reward for Handwriting? - Handwriting Generation by Imitation Learning. - Ziwei Wan, Zhen Gao, Marco Di Renzo, Mohamed-Slim Alouini:
Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces. - Jinyuan Chen:
Fundamental Limits of Byzantine Agreement. - Alexandre Manoury, Sao Mai Nguyen, Cédric Buche:
Hierarchical Affordance Discovery using Intrinsic Motivation. - Nicholas Carlini:
A Partial Break of the Honeypots Defense to Catch Adversarial Attacks. - Dingqing Yang, Amin Ghasemazar, Xiaowei Ren, Maximilian Golub, Guy Lemieux, Mieszko Lis:
Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training. - Wonseok Lee, Hanbit Lee, Sang-goo Lee:
Semantics-Preserving Adversarial Training. - Kwon Kham Sai, Ryuhei Uehara, Giovanni Viglietta:
Cyclic Shift Problems on Graphs. - Zheming Wang, Raphaël M. Jungers:
A data-driven method for computing polyhedral invariant sets of black-box switched linear systems. - Davide Bilò, Tobias Friedrich, Pascal Lenzner, Anna Melnichenko, Louise Molitor:
Fair Tree Connection Games with Topology-Dependent Edge Cost. - Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang:
Towards a Flexible Embedding Learning Framework. - Rohun Kshirsagar, Li-Yen Hsu, Charles H. Greenberg, Matthew McClelland, Anushadevi Mohan, Wideet Shende, Nicolas P. Tilmans, Min Guo, Ankit Chheda, Meredith Trotter, Shonket Ray, Miguel Alvarado:
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans. - Khang Phuoc-Quy Nguyen, Kiet Van Nguyen:
Exploiting Vietnamese Social Media Characteristics for Textual Emotion Recognition in Vietnamese. - Uli Fahrenberg, Axel Legay:
Behavioral Specification Theories: an Algebraic Taxonomy. - Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Segmented Pairwise Distance for Time Series with Large Discontinuities. - Cong Geng, Jia Wang, Li Chen, Zhiyong Gao:
Generative Model without Prior Distribution Matching. - Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom:
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets. - Zorik Gekhman, Roee Aharoni, Genady Beryozkin, Markus Freitag, Wolfgang Macherey:
KoBE: Knowledge-Based Machine Translation Evaluation. - Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling. - Prabal Banerjee, Chander Govindarajan, Praveen Jayachandran, Sushmita Ruj:
Reliable, Fair and Decentralized Marketplace for Content Sharing Using Blockchain. - Vincent J. Straub, Milena Tsvetkova, Taha Yasseri:
The cost of coordination can exceed the benefit of collaboration in performing complex tasks. - Georgios S. Misyris, Andrea Tosatto, Spyros Chatzivasileiadis, Tilman Weckesser:
Zero-inertia Offshore Grids: N-1 Security and Active Power Sharing. - Shogo Isoda, Masato Hidaka, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto:
Timeliness-aware On-site Planning Method for Tour Navigation. - Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Few-shot Font Generation with Localized Style Representations and Factorization. - Dimche Kostadinov, Davide Scaramuzza:
Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation. - Alberto Sabater, Luis Montesano, Ana C. Murillo:
Robust and efficient post-processing for video object detection. - Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik:
Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation. - Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik:
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph. - Michel Melo Silva, Washington Luis Souza Ramos, Mario Fernando Montenegro Campos, Erickson Rangel do Nascimento:
A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos. - Yuxuan Sun, Wenqi Shi, Xiufeng Huang, Sheng Zhou, Zhisheng Niu:
Edge Learning with Timeliness Constraints: Challenges and Solutions. - Yukang Jiang, Kiichi Tokuyama, Yuichiro Wada, Moeko Yajima:
Correlation Coefficient Analysis of the Age of Information in Multi-Source Systems. - Damián Aparicio-Sánchez, Santiago Escobar, Julia Sapiña:
Variant-based Equational Unification under Constructor Symbols. 38-51 - Shuhao Yan, Mark Cannon, Paul Goulart:
Stochastic output feedback MPC with intermittent observations. - Jia Xue, Hang Zhang, Ko Nishino, Kristin J. Dana:
Differential Viewpoints for Ground Terrain Material Recognition. - Walid R. Ghanem, Vahid Jamali, Robert Schober:
Optimal Resource Allocation for Multi-user OFDMA-URLLC MEC Systems. - Taihua Wang, Donald G. Dansereau:
Multiplexed Illumination for Classifying Visually Similar Objects. - Henrik Schiøler, John Leth, Shibarchi Majumder:
Markovian Performance Model for Token Bucket Filter with Fixed and Varying Packet Sizes. - Malte Breuer, Ulrike Meyer, Susanne Wetzel, Anja Mühlfeld:
A Privacy-Preserving Protocol for the Kidney Exchange Problem. - Dominik Edelmann:
Isoparametric finite element analysis of a generalized Robin boundary value problem on curved domains. - Aditya Chopra, Andrew Thornburg, Ojas Kanhere, Abbas Termos, Saeed S. Ghassemzadeh, Theodore S. Rappaport:
Real-time Millimeter Wave Omnidirectional Channel Sounder Using Phased Array Antennas. - Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee:
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. - Paul Chauchat, Axel Barrau, Silvère Bonnabel:
Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization. - Maanak Gupta, Sudip Mittal, Mahmoud Abdelsalam:
AI assisted Malware Analysis: A Course for Next Generation Cybersecurity Workforce. - Sven Hertling, Jan Portisch, Heiko Paulheim:
Supervised Ontology and Instance Matching with MELT. - Dominik Edelmann:
Finite element analysis for a diffusion equation on a harmonically evolving domain. - Ahmet Serkan Goktas, Alaa Bessadok, Islem Rekik:
Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation. - Gökberk Koçak, Özgür Akgün, Nguyen Dang, Ian Miguel:
Efficient Incremental Modelling and Solving. - Bahrudin Hrnjica:
ANNdotNET - deep learning tool on .NET Platform. - Yuri Campbell:
Too big to see: exploring proxies of structure in a real large-scale university-industry cooperation network. - Vahid Shahrivari, Mohammad Mahdi Darabi, Mohammad Izadi:
Phishing Detection Using Machine Learning Techniques. - Tuong Do, Binh X. Nguyen, Huy Tran, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do:
Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering. - Qi Qin, Wenpeng Hu, Bing Liu:
Text Classification with Novelty Detection. - Konstantinos Nikolaidis, Thomas Plagemann, Stein Kristiansen, Vera Goebel, Mohan S. Kankanhalli:
Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise. - Saba Nazir, Taner Cagali, Chris Newell, Mehrnoosh Sadrzadeh:
Cosine Similarity of Multimodal Content Vectors for TV Programmes. - Nima Karbasizadeh, Niranjan Saikumar, S. Hassan HosseinNia:
Fractional-Order Single State Reset Element. - Sergio Mercado, Marcos Villagra:
Bounds on the Spectral Sparsification of Symmetric and Off-Diagonal Nonnegative Real Matrices. - Jinyun Zhou, Runxin He, Yu Wang, Shu Jiang, Zhenguang Zhu, Jiangtao Hu, Jinghao Miao, Qi Luo:
DL-IAPS and PJSO: A Path/Speed Decoupled Trajectory Optimization and its Application in Autonomous Driving. - Felix Stahlberg, Shankar Kumar:
Seq2Edits: Sequence Transduction Using Span-level Edit Operations. - Sheng Zhang, Xin Zhang, Weiming Zhang, Anders Søgaard:
Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer. - Patrick Rodler, Erich Teppan:
The Scheduling Job-Set Optimization Problem: A Model-Based Diagnosis Approach. - Bai Li:
Evolution of Part-of-Speech in Classical Chinese. - Pepe Eulzer, Sabine Bauer, Francis Kilian, Kai Lawonn:
Visualization of Human Spine Biomechanics for Spinal Surgery. - Jihun Yi, Eunji Kim, Siwon Kim, Sungroh Yoon:
Information-Theoretic Visual Explanation for Black-Box Classifiers. - Emile Chapuis, Pierre Colombo, Matteo Manica, Matthieu Labeau, Chloé Clavel:
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog. - Albert Mosella-Montoro, Javier Ruiz Hidalgo:
2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification. - Junichiro Iwasawa, Yuichiro Hirano, Yohei Sugawara:
Label-Efficient Multi-Task Segmentation using Contrastive Learning. - David G. T. Barrett, Benoit Dherin:
Implicit Gradient Regularization. - Shahriar Shahabuddin, Muhammad Hasibul Islam, Mohammad Shahanewaz Shahabuddin, Mahmoud A. M. Albreem, Markku J. Juntti:
Matrix Decomposition for Massive MIMO Detection. - Nima Tashakor, M. Kilictas, Ehsan Bagheri, Stefan M. Goetz:
Modular Multilevel Converter with Sensorless Diode-Clamped Balancing through Level-Adjusted Phase-Shifted Modulation. - Jakub Tetek:
Sampling an Edge Uniformly in Sublinear Time. - Lance Eliot:
AI and Legal Argumentation: Aligning the Autonomous Levels of AI Legal Reasoning. - Chnoor M. Rahman, Tarik A. Rashid:
A new evolutionary algorithm: Learner performance based behavior algorithm. - Abeer Dyoub, Stefania Costantini, Francesca A. Lisi:
Logic Programming and Machine Ethics. 6-17 - Ulrich Kerzel:
Enterprise AI Canvas - Integrating Artificial Intelligence into Business. - Samuel Pfrommer, Mathew Halm, Michael Posa:
ContactNets: Learning of Discontinuous Contact Dynamics with Smooth, Implicit Representations. - Amr Gomaa, Guillermo Reyes, Alexandra Alles, Lydia Rupp, Michael Feld:
Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle. - Xavier Garcia, Aditya Siddhant, Orhan Firat, Ankur P. Parikh:
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages. - Sylvain Guy, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud:
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset. - Hampei Sasahara, Takayuki Ishizaki, Jun-ichi Imura, Henrik Sandberg:
Disconnection-aware Attack Detection and Isolation with Separation-based Detector Reconfiguration. - Tiziano Piccardi, Robert West:
Crosslingual Topic Modeling with WikiPDA. - Mohamed Handaoui, Jean-Emile Dartois, Jalil Boukhobza, Olivier Barais, Laurent d'Orazio:
ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources. - Péter Almási, Róbert Moni, Bálint Gyires-Tóth:
Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World. - Björn Liljegren-Sailer, Nicole Marheineke:
Port-Hamiltonian approximation of a nonlinear flow problem. Part I: Space approximation ansatz. - Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Róbert Busa-Fekete:
Probabilistic Label Trees for Extreme Multi-label Classification. - Huajian Huang, Wen-Yan Lin, Siying Liu, Dong Zhang, Sai-Kit Yeung:
Dual-SLAM: A framework for robust single camera navigation. - Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions. - Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu:
Representation Learning from Limited Educational Data with Crowdsourced Labels. - Jacek Czaja, Michal Gallus, Joanna Wozna, Adam Grygielski, Luo Tao:
Applying the Roofline model for Deep Learning performance optimizations. - Aditya Jyoti Paul:
Randomized fast no-loss expert system to play tic tac toe like a human. - Alexander Kalinowski, Yuan An:
A Comparative Study on Structural and Semantic Properties of Sentence Embeddings. - Senthil Velan S:
Introducing Aspect-Oriented Programming in Improving the Modularity of Middleware for Internet of Things. - Mourad Oulghelou, Cyrille Allery:
A Riemannian Barycentric Interpolation : Derivation of the Parametric Unsteady Navier-Stokes Reduced Order Model. - Binjie Zhang, Yu Li, Chun Yuan, Dejing Xu, Pin Jiang, Ying Shan:
A Simple Yet Effective Method for Video Temporal Grounding with Cross-Modality Attention. - Ismail Alaoui Abdellaoui, Siamak Mehrkanoon:
Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks. - Luke Metz, Niru Maheswaranathan, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein:
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves. - Mohammad Rafayet Ali, Taylan K. Sen, Benjamin Kane, Shagun Bose, Thomas M. Carroll, Ronald M. Epstein, Lenhart K. Schubert, Ehsan Hoque:
Novel Computational Linguistic Measures, Dialogue System and the Development of SOPHIE: Standardized Online Patient for Healthcare Interaction Education. - Swanand Kadhe, Nived Rajaraman, Onur Ozan Koyluoglu, Kannan Ramchandran:
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning. - Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais:
Interactive Learning for Semantic Segmentation in Earth Observation. - Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas:
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning. - Hwei-Ming Chung, Sabita Maharjan, Yan Zhang, Frank Eliassen, Tingting Yuan:
Edge Intelligence Empowered UAVs for Automated Wind Farm Monitoring in Smart Grids. - Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina B. Caldwell, Tom Gedeon:
A Token-wise CNN-based Method for Sentence Compression. - Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis:
A Linear Transportation Lp Distance for Pattern Recognition. - Satwik Bhattamishra, Kabir Ahuja, Navin Goyal:
On the Ability of Self-Attention Networks to Recognize Counter Languages. - Laszlo Erdodi, Fabio Massimo Zennaro:
The Agent Web Model - Modelling web hacking for reinforcement learning. - David Krieg, Mathias Sonnleitner:
Random points are optimal for the approximation of Sobolev functions. - Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi:
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. - Nidhin Harilal, Udit Bhatia, Mayank Singh:
Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections. - Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora, Mitesh M. Khapra:
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining. - Shanuja Sasi, Vaneet Aggarwal, B. Sundar Rajan:
An Embedded Index Code Construction Using Sub-packetization. - Farzana Beente Yusuf, Camilo Valdes, Vitalii Stebliankin, Giuseppe Vietri, Giri Narasimhan:
EXP4-DFDC: A Non-Stochastic Multi-Armed Bandit for Cache Replacement. - Aditi Laddha, Santosh S. Vempala:
Convergence of Gibbs Sampling: Coordinate Hit-and-Run Mixes Fast. - Tanvi Dinkar, Pierre Colombo, Matthieu Labeau, Chloé Clavel:
The importance of fillers for text representations of speech transcripts. - Eric T. Chung, Wing Tat Leung, Sai-Mang Pun, Zecheng Zhang:
A multi-stage deep learning based algorithm for multiscale modelreduction. - Amir Shalev, Omer Achrack, Brian Fulkerson, Ben-Zion Bobrovsky:
Insights on Evaluation of Camera Re-localization Using Relative Pose Regression. - Runxin He, Jinyun Zhou, Shu Jiang, Yu Wang, Jiaming Tao, Shiyu Song, Jiangtao Hu, Jinghao Miao, Qi Luo:
TDR-OBCA: A Reliable Planner for Autonomous Driving in Free-Space Environment. - Ivan Letteri, Antonio Di Cecco, Giuseppe Della Penna:
Dataset Optimization Strategies for MalwareTraffic Detection. - Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. - Gil Fidel, Ron Bitton, Ziv Katzir, Asaf Shabtai:
Adversarial robustness via stochastic regularization of neural activation sensitivity. - Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, Mikhail Burtsev:
ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ). - Konstantin Avrachenkov, Andrei Bobu, Maximilien Dreveton:
Higher-Order Spectral Clustering for Geometric Graphs. - Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose:
Structure Aware Negative Sampling in Knowledge Graphs. - Qiwei Sheng, Cory D. Hauck:
Uniform convergence of an upwind discontinuous Galerkin method for solving scaled discrete-ordinate radiative transfer equations with isotropic scattering kernel. - Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade:
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data. - Renhao Wang, Ashutosh Bhudia, Brandon Dos Remedios, Minnie Teng, Raymond Ng:
Dense Forecasting of Wildfire Smoke Particulate Matter Using Sparsity Invariant Convolutional Neural Networks. - Peter D. Turney:
Evolution, Symbiosis, and Autopoiesis in the Game of Life. - Desmond J. Higham:
A Personal Perspective on Numerical Analysis and Optimization. - Trevor P. Drayton, Abdul A. Jaiyeola, Nazmul Hoque, Mikhayla Maurer, Hashim A. Hashim:
Fast Adaptation Nonlinear Observer for SLAM. - Neeraj Sarna:
A Positive and Stable L2-minimization Based Moment Method for the Boltzmann Equation of Gas dynamics. - Alessandra Vizzaccaro, Arthur Givois, Pierluigi Longobardi, Yichang Shen, Jean-François Deü, Loïc Salles, Cyril Touzé, Olivier Thomas:
Non-intrusive reduced order modelling for the dynamics of geometrically nonlinear flat structures using three-dimensional finite elements. - Peng Gao, Chiori Hori, Shijie Geng, Takaaki Hori, Jonathan Le Roux:
Multi-Pass Transformer for Machine Translation. - Samuel C. Pinto, Sean B. Andersson, Julien M. Hendrickx, Christos G. Cassandras:
Optimal Minimax Mobile Sensor Scheduling Over a Network. - Yuze Chi, Licheng Guo, Young-kyu Choi, Jie Wang, Jason Cong:
Extending High-Level Synthesis for Task-Parallel Programs. - Yuji Nakatsukasa:
Fast and stable randomized low-rank matrix approximation. - Matthias Rottmann, Mathis Peyron, Natasa Krejic, Hanno Gottschalk:
Detection of Iterative Adversarial Attacks via Counter Attack. - Koundinya Vajjha, Avraham Shinnar, Vasily Pestun, Barry M. Trager, Nathan Fulton:
CertRL: Formalizing Convergence Proofs for Value and Policy Iteration in Coq. - Erin Brintnell, Owen Brierley, Neil Christensen, Christian Jacob:
Balancing simulation and gameplay - applying game user research to LeukemiaSIM. - Chen Zhao, Feng Chen:
Rank-Based Multi-task Learning for Fair Regression. - Chen Zhao, Feng Chen:
Unfairness Discovery and Prevention For Few-Shot Regression. - Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash:
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. - Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang:
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. - Jean R. Ponciano, Claudio D. G. Linhares, Elaine R. Faria, Bruno Augusto Nassif Travençolo:
An Online and Nonuniform Timeslicing Method for Network Visualisation. - Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov:
Task-Oriented Dialogue as Dataflow Synthesis. - Donghaisheng Liu, Shoudong Han, Yang Chen, Chenfei Xia, Jun Zhao:
FTN: Foreground-Guided Texture-Focused Person Re-Identification. - Xiaokang Liu, Haijun Song:
Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks. - Sayali Kulkarni, Tomer Gadot, Chen Luo, Tanya Birch, Eric Fegraus:
Unifying data for fine-grained visual species classification. - Xiangyu Gao, Jianzhong Li, Dongjing Miao, Xianmin Liu:
Dynamic Near Maximum Independent Set with Time Independent of Graph Size. - Riadul Islam, Rafi Ud Daula Refat, Sai Manikanta Yerram, Hafiz Malik:
Graph-Based Intrusion Detection System for Controller Area Networks. - Kyle Kuan, Tosiron Adegbija:
A Study of Runtime Adaptive Prefetching for STTRAM L1 Caches. - Hung Le, Svetha Venkatesh:
Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs. - Taha Hasan Masood Siddique, Muhammad Usman:
3D Object Localization Using 2D Estimates for Computer Vision Applications. - Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri:
Control Policies for Recovery of Interdependent Systems After Disruptions. - Ali Almadan, Anoop Krishnan, Ajita Rattani:
BWCFace: Open-set Face Recognition using Body-worn Camera. - Murat Cubuktepe, Nils Jansen, Sebastian Junges, Ahmadreza Marandi, Marnix Suilen, Ufuk Topcu:
Robust Finite-State Controllers for Uncertain POMDPs. - Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith:
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. - Xiao Hu, Paraschos Koutris, Spyros Blanas:
Algorithms for a Topology-aware Massively Parallel Computation Model. - Yanshi Luo, Abdeslam Boularias, Mridul Aanjaneya:
Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics. - Wenliang Liu, Noushin Mehdipour, Calin Belta:
Recurrent Neural Network Controllers for Signal Temporal Logic Specifications Subject to Safety Constraints. - Hongwei Zhang, Tijin Yan, Zenjun Xie, Yuanqing Xia, Yuan Zhang:
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective. - Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv:
AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation. - Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima:
Theoretical Analysis of the Advantage of Deepening Neural Networks. - Eshwar Chandrasekharan, Shagun Jhaver, Amy S. Bruckman, Eric Gilbert:
Quarantined! Examining the Effects of a Community-Wide Moderation Intervention on Reddit. - Hetong Jiang, Taejun Choi, Ryan K. L. Ko:
Pandora: A Cyber Range Environment for the Safe Testing and Deployment of Autonomous Cyber Attack Tools. - (Withdrawn) CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation.
- Anoop Krishnan, Ali Almadan, Ajita Rattani:
Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups. - Jia Zhao, Jarrod Mau:
Discovery of Governing Equations with Recursive Deep Neural Networks. - Ehsan Aghaei, Waseem G. Shadid, Ehab Al-Shaer:
ThreatZoom: CVE2CWE using Hierarchical Neural Network. - Xaver Mooslechner:
Exactly Divergence-free Hybrid Discontinuous Galerkin Method for Incompressible Turbulent Flows. - (Withdrawn) Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems.
- Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo:
Improving Query Efficiency of Black-box Adversarial Attack. - Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma:
EPNE: Evolutionary Pattern Preserving Network Embedding. - Yanyi Liu, Rafael Pass:
On One-way Functions and Kolmogorov Complexity. - Massimiliano Fasi, Leonardo Robol:
Sampling the eigenvalues of random orthogonal and unitary matrices. - Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith:
Grounded Compositional Outputs for Adaptive Language Modeling. - Xin Lu, Quanquan Li, Buyu Li, Junjie Yan:
MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection. - Mustafa Saglam, Islem Rekik:
Multi-Scale Profiling of Brain Multigraphs by Eigen-based Cross-Diffusion and Heat Tracing for Brain State Profiling. - Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing:
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification. - Majid Rafiei, Wil M. P. van der Aalst:
Practical Aspect of Privacy-Preserving Data Publishing in Process Mining. - Yong Sik Kwon, Cheol Ryu, Sang Kyun Cha, Arthur H. Lee, Kunsoo Park, Bongki Moon:
Compressed Key Sort and Fast Index Reconstruction. - Renpeng Zou, Xixiang Lv:
BCMIX: A Dynamic Self-organizing Blockchain-based Mix Anonymous System. - Khac-Hoang Ngo, Sheng Yang, Maxime Guillaud, Alexis Decurninge:
Joint Constellation Design for Noncoherent MIMO Multiple-Access Channels. - Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari, Jakub Lacki, Vahab S. Mirrokni, Warren Schudy:
Parallel Graph Algorithms in Constant Adaptive Rounds: Theory meets Practice. - Alin Banka, Inis Buzi, Islem Rekik:
Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification. - Khac-Hoang Ngo, Sheng Yang, Maxime Guillaud:
The Optimal DoF for the Noncoherent MIMO Channel with Generic Block Fading. - Takayuki Tanabe, Takashi Hoshino, Hideyuki Kawashima, Osamu Tatebe:
An Analysis of Concurrency Control Protocols for In-Memory Databases with CCBench (Extended Version). - Shunsuke Kanda, Yasuo Tabei:
Dynamic Similarity Search on Integer Sketches. - Jing Tan, Pengfei Xiong, Yuwen He, Kuntao Xiao, Zhengyi Lv:
Local Context Attention for Salient Object Segmentation. - Gerhard Weikum, Luna Dong, Simon Razniewski, Fabian M. Suchanek:
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. - Aman Jhinga, Jayvant Patade, Varsha Daftardar-Gejji:
Solving Volterra Integro-Differential Equations involving Delay: A New Higher Order Numerical Method. - Hui Zhu, Christian Gehrmann:
Lic-Sec: an enhanced AppArmor Docker security profile generator. - Kristian Gingstad, Øyvind Jekteberg, Krisztian Balog:
ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation. - Léa Berthomier, Bruno Pradel, Lior Perez:
Cloud Cover Nowcasting with Deep Learning. - Jihed Khiari, Cristina Olaverri-Monreal:
Boosting Algorithms for Delivery Time Prediction in Transportation Logistics. - John Noll, Mohammad Abdur Razzak, Sarah Beecham:
Motivation and Autonomy in Global Software Development: An Empirical Study. - N. Annamalai, Chinnappillai Durairajan:
Exponent of Cyclic Codes over Fq. - Zhangyang Gao, Haitao Lin, Stan Z. Li:
Clustering Based on Graph of Density Topology. - Jorn M. Reniers, Grietus Mulder, David A. Howey:
Unlocking Extra Value from Grid Batteries Using Advanced Models. - Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu:
N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models. - Cemil Cem Gürsoy, Maksim Jenihhin, Adeboye Stephen Oyeniran, Davide Piumatti, Jaan Raik, Matteo Sonza Reorda, Raimund Ubar:
New categories of Safe Faults in a processor-based Embedded System. - Sebastian Bala, Andrzej Kozik:
On Tractability of Ulams Metric in Highier Dimensions and Dually Related Hierarchies of Problems. - Aniello Murano, Sasha Rubin, Martin Zimmermann:
Optimal Strategies in Weighted Limit Games. 114-130 - Raïda Ktari, Mohamed Ayman Boujelben:
On the use of evidence theory in belief base revision. - Marta Piecyk, Pawel Rzazewski:
Fine-grained complexity of the list homomorphism problem: feedback vertex set and cutwidth. - Stefan Kiefer, Qiyi Tang:
Comparing Labelled Markov Decision Processes. - Lara Orlandic, Tomás Teijeiro, David Atienza:
The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms. - Lance Eliot:
The Next Era of American Law Amid the Advent of Autonomous AI Legal Reasoning. - Michele Linardi:
Effective and Efficient Variable-Length Data Series Analytics. - Zhi Feng, Guoqiang Hu:
Prescribed-Time Fully Distributed Nash Equilibrium Seeking in Noncooperative Games. - Tina Tseng, Amanda Stent, Domenic Maida:
Best Practices for Managing Data Annotation Projects. - B. V. Rathish Kumar, Manisha Chowdhury:
Apriori and aposteriori error estimation of Subgrid multiscale stabilized finite element method for fully coupled Navier-Stokes Transport model. - Jean-François Coulombel:
The Leray-Gårding method for finite difference schemes. II. Smooth crossing modes. - Tooba Aamir, Hai Dong, Athman Bouguettaya:
Heuristics based Mosaic of Social-Sensor Services for Scene Reconstruction. - Langshi Chen, Jiayu Li, Ariful Azad, S. Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu:
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting. - Bahman Rostami Tabar, Mohammad M. Ali, Tao Hong, Rob J. Hyndman, Michael D. Porter, Aris A. Syntetos:
Forecasting for Social Good. - Jaeho Choi, Joongheon Kim:
Kirchhoff's Circuit Law Applications to Graph Simplification in Search Problems. - Benedikt Hosp, Florian Schultz, Enkelejda Kasneci, Oliver Höner:
Eye Movement Feature Classification for Soccer Expertise Identification in Virtual Reality. - Dylan Holden-Sim, Gavin Leech, Laurence Aitchison:
Legally grounded fairness objectives. - Bin Zhang, Cen Chen, Li Wang:
Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy. - Feng-Lin Li, Hehong Chen, Guohai Xu, Tian Qiu, Feng Ji, Ji Zhang, Haiqing Chen:
AliMe KG: Domain Knowledge Graph Construction and Application in E-commerce. - Massimiliano Di Penta, Gabriele Bavota, Fiorella Zampetti:
On the Relationship between Refactoring Actions and Bugs: A Differentiated Replication. - Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang:
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. - Kristian Gundersen, Seyyed A. Hosseini, Anna Oleynik, Guttorm Alendal:
A Variational Auto-Encoder for Reservoir Monitoring. - Vicente Ramm, Jehanzeb H. Chaudhry, Christopher D. Cooper:
Efficient mesh refinement for the Poisson-Boltzmann equation with boundary elements. - Nathan Zhao, Beicheng Lou:
Compressed imitation learning. - Vaishak Belle, Ioannis Papantonis:
Principles and Practice of Explainable Machine Learning. - Jian Li, Jing Yue, Wen Zhang, Wansuo Duan:
The Deep Learning Galerkin Method for the General Stokes Equations. - Chao Yang, Mingxing Jiang, Zhongwen Guo, Yuan Liu:
Gated Res2Net for Multivariate Time Series Analysis. - Cyrus Vahidi, George Fazekas, Charalampos Saitis, Alessandro Palladini:
Timbre Space Representation of a Subtractive Synthesizer. - Alexander Gepperth, Benedikt Pfülb:
A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models. - Ming Yan, Xueli Xiao, Joey Tianyi Zhou, Yi Pan:
Deep Neural Networks with Short Circuits for Improved Gradient Learning. - Sorin Mihai Grigorescu, Tiberiu T. Cocias, Bogdan Trasnea, Andrea Margheri, Federico Lombardi, Leonardo Aniello:
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles. - Víctor Juan Expósito Jiménez, Christian Schwarzl, Helmut Martin:
Evaluation of an indoor localization system for a mobile robot. - Ogbo Ndidi Bianca, Aiman Elgarig, The Anh Han:
Evolution of Coordination in Pairwise and Multi-player Interactions via Prior Commitments. - Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang:
Interpreting and Boosting Dropout from a Game-Theoretic View. - Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller:
A Unifying Review of Deep and Shallow Anomaly Detection. - Hang-Yang Wu, Yi-Ling Chen:
Graph Sparsification with Generative Adversarial Network. - Wolfgang Weiss, Víctor Juan Expósito Jiménez, Herwig Zeiner:
Dynamic Buffer Sizing for Out-of-Order Event Compensation for Time-Sensitive Applications. - Syeda Zainab Akbar, Ankur Sharma, Himani Negi, Anmol Panda, Joyojeet Pal:
Anatomy of a Rumour: Social media and the suicide of Sushant Singh Rajput. - Yihao Chen, Xin Tang, Xianbiao Qi, Chun-Guang Li, Rong Xiao:
Learning Graph Normalization for Graph Neural Networks. - Miguel Araujo, Miguel Almeida, Jaime Ferreira, Luís Moura Silva, Pedro Bizarro:
BreachRadar: Automatic Detection of Points-of-Compromise. - Marc Santolini, Christos Ellinas, Christos Nicolaides:
Uncovering the fragility of large-scale engineering project networks. - Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang:
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. - Yuan-Hsun Lo, Kenneth W. Shum, Wing Shing Wong, Yijin Zhang:
Multichannel Conflict-Avoiding Codes of Weights Three and Four. - Julien Grange:
Successor-Invariant First-Order Logic on Classes of Bounded Degree. - Chenwei Wu, Chenzhuang Du, Yang Yuan:
Secure Data Sharing With Flow Model. - Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang:
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks. - Oleksii Moskalenko, Denis Parra, Diego Sáez-Trumper:
Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning. - Daniele Antonioli, Nils Ole Tippenhauer, Kasper Rasmussen, Mathias Payer:
BLURtooth: Exploiting Cross-Transport Key Derivation in Bluetooth Classic and Bluetooth Low Energy. - Andreas Björklund:
An Asymptotically Fast Polynomial Space Algorithm for Hamiltonicity Detection in Sparse Directed Graphs. - Priyabrata Saha, Saibal Mukhopadhyay:
Neural Identification for Control. - Paulo Sérgio Almeida:
A Case for Partitioned Bloom Filters. - Yuping Wang, Fatemeh Tahmasbi, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, David Magerman, Savvas Zannettou, Gianluca Stringhini:
Understanding the Use of Fauxtography on Social Media. - Saket Saurabh, Prafullkumar Tale:
On the Parameterized Complexity of \textsc{Maximum Degree Contraction} Problem. - Boon Peng Yap, Andrew Koh, Eng Siong Chng:
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences. - Niladri Chatterjee, Neha Kaushik:
Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques. - Sanghyun Kim, Jongmin Park, Jae-Kwan Yun, Jiwon Seo:
Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles. - Oussama Abderrahmane Dambri, Soumaya Cherkaoui:
Design and Evaluation of a Receiver for Wired Nano-Communication Networks. - Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons:
Investigating Applications on the A64FX. - Bruno Klaus de Aquino Afonso, Lilian Berton:
Identifying noisy labels with a transductive semi-supervised leave-one-out filter. - Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Attribute Propagation Network for Graph Zero-shot Learning. - Nauman Ahad, Mark A. Davenport:
Semi-supervised sequence classification through change point detection. - Malgorzata Pikies, Andronicus Riyono, Junade Ali:
Novel Keyword Extraction and Language Detection Approaches. - Khaled Abedrabboh, Matthias Pilz, Zaid Al-Fagih, Othman S. Al-Fagih, Jean-Christophe Nebel, Luluwah Al-Fagih:
Game theory to enhance stock management of personal protective equipment (PPE) during the COVID-19 outbreak. - Ekdeep Singh Lubana, Robert P. Dick:
A Gradient Flow Framework For Analyzing Network Pruning. - Martin Koutecký, Johannes Zink:
Complexity of Scheduling Few Types of Jobs on Related and Unrelated Machines. - Reza Alijani, Siddhartha Banerjee, Kamesh Munagala, Kangning Wang:
The Limits of an Information Intermediary in Auction Design. - Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka:
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks. - Giovanni Sutanto, Isabel M. Rayas Fernández, Peter Englert, Ragesh K. Ramachandran, Gaurav S. Sukhatme:
Learning Equality Constraints for Motion Planning on Manifolds. - Victor Luo, Yazhen Wang:
How Many Factors Influence Minima in SGD? - Yue Wang, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser, Justin Solomon:
Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection. - Stefan Scherzinger, Arne Roennau, Rüdiger Dillmann:
Virtual Forward Dynamics Models for Cartesian Robot Control. - Kumar Akash, Neera Jain, Teruhisa Misu:
Toward Adaptive Trust Calibration for Level 2 Driving Automation. - Xueli Xiao, Chunyan Ji, Thosini Bamunu Mudiyanselage, Yi Pan:
PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks. - Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana:
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games. - Anna V. Glazkova, Yury Egorov, Maksim Glazkov:
A Comparative Study of Feature Types for Age-Based Text Classification. - Ismaeel Al Ridhawi, Moayad Aloqaily, Yaser Jararweh:
An Incentive-Based Mechanism for Volunteer Computing using Blockchain. - Muharrem Ugur Yavas, N. Kemal Ure, Tufan Kumbasar:
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward. - Gautam Raj Mode, Khaza Anuarul Hoque:
Adversarial Examples in Deep Learning for Multivariate Time Series Regression. - David Fajardo-Ortiz, Stefan Hornbostel, Maywa Montenegro-de-Wit, Annie Shattuck:
Funding CRISPR: Understanding the role of government and private sector actors in transformative innovation systems. - Pirazh Khorramshahi, Hossein Souri, Rama Chellappa, Soheil Feizi:
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue. - Shu Hu, Yuezun Li, Siwei Lyu:
Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights. - Lawrence Mosley, Hieu Pham, Yogesh Bansal, Eric Hare:
Image-Based Sorghum Head Counting When You Only Look Once. - Sina Akbarian, Tania Cawston, Laurent Moreno, Samir Patel, Vanessa Allen, Elham Dolatabadi:
A Computer Vision Approach to Combat Lyme Disease. - Bhathiya Rathnayake, Mamadou Diagne, Nicolás Espitia, Iasson Karafyllis:
Observer-based Event-triggered Boundary Control of a Class of Reaction-Diffusion PDEs. - Yidan Qin, Seyedshams Feyzabadi, Max Allan, Joel W. Burdick, Mahdi Azizian:
daVinciNet: Joint Prediction of Motion and Surgical State in Robot-Assisted Surgery. - Ali Karaali, Naomi Harte, Cláudio Rosito Jung:
Deep Multi-Scale Feature Learning for Defocus Blur Estimation. - Moritz Moeller, Tino Ullrich:
L2-norm sampling discretization and recovery of functions from RKHS with finite trace. - Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Online Learning With Adaptive Rebalancing in Nonstationary Environments. - Yi-Fan Chung, Solmaz S. Kia:
A distributed service-matching coverage via heterogeneous mobile agents. - Nikolaos Lykousas, Fran Casino, Constantinos Patsakis:
Inside the x-rated world of "premium" social media accounts. - Thibault Jacquemin, Satyendra Tomar, Konstantinos Agathos, Shoya Mohseni-Mofidi, Stéphane P. A. Bordas:
Taylor-series expansion based numerical methods: a primer, performance benchmarking and new approaches for problems with non-smooth solutions. - Tichakorn Wongpiromsarn, Konstantin Slutsky, Emilio Frazzoli, Ufuk Topcu:
Minimum-Violation Planning for Autonomous Systems: Theoretical and Practical Considerations. - Shirantha Welikala, Christos G. Cassandras:
Event-Driven Receding Horizon Control for Distributed Estimation in Network Systems. - Boris N. Oreshkin, Grzegorz Dudek, Pawel Pelka:
N-BEATS neural network for mid-term electricity load forecasting. - Jonathan Scott Enderle:
Toward a Thermodynamics of Meaning. - Bin Wu, Xue-Cheng Tai, Talal Rahman:
Multidimensional TV-Stokes for image processing. - Bin Wu, Xue-Cheng Tai, Talal Rahman:
Alternating minimization for a single step TV-Stokes model for image denoising. - Jingda Guo, Dominic Carrillo, Sihai Tang, Qi Chen, Qing Yang, Song Fu, Xi Wang, Nannan Wang, Paparao Palacharla:
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles. - Bin Wu, Leszek Marcinkowski, Xue-Cheng Tai, Talal Rahman:
Iterative regularization algorithms for image denoising with the TV-Stokes model. - Fares Fourati, Wided Souidène, Rabah Attia:
An original framework for Wheat Head Detection using Deep, Semi-supervised and Ensemble Learning within Global Wheat Head Detection (GWHD) Dataset. - Jan Glaubitz:
Constructing Positive Interpolatory Cubature Formulas. - Ana Valeria González-Garduño, Maria Barrett, Rasmus Hvingelby, Kellie Webster, Anders Søgaard:
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias. - Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Going to Extremes: Weakly Supervised Medical Image Segmentation. - Meng Wei, Wen Huang, Kyle A. Gallivan, Paul Van Dooren:
Community Detection by a Riemannian Projected Proximal Gradient Method. - Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi:
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder. - Melissa Marchand, Kyle A. Gallivan, Wen Huang, Paul Van Dooren:
Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem. - Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti:
Continual Model-Based Reinforcement Learning with Hypernetworks. - Wen Ma, Jinquan Luo:
Construction on Griesmer Codes with Dimension Not Less than Five. - Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo:
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data. - Yiyan Li, Si Zhang, Rongxing Hu, Ning Lu:
A Meta-learning based Distribution System Load Forecasting Model Selection Framework. - Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, Pascale Fung:
MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems. - Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul:
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. - Weiqun Zhang, Andrew Myers, Kevin Gott, Ann S. Almgren, John B. Bell:
AMReX: Block-Structured Adaptive Mesh Refinement for Multiphysics Applications. - Liyan Xu, Jinho D. Choi:
Revealing the Myth of Higher-Order Inference in Coreference Resolution. - Xudong Wang, Stella X. Yu:
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. - Marco Pavone, Amin Saberi, Maximilian Schiffer, Matthew Tsao:
Online Hypergraph Matching with Delays. - Krishanu Sarker, Xiulong Yang, Yang Li, Saeid Belkasim, Shihao Ji:
A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention. - Jinyong Hou, Xuejie Ding, Stephen Cranefield, Jeremiah D. Deng:
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks. - Xiaomeng Chen, Lingying Huang, Kemi Ding, Subhrakanti Dey, Ling Shi:
Privacy-Preserving Push-sum Average Consensus via State Decomposition. - Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu, Jingyang Li:
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding. - Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu:
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination. - Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino:
Controllable Text Generation with Focused Variation. - Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang:
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. - Julien Bensmail, Sandip Das, Soumen Nandi, Théo Pierron, Sagnik Sen, Éric Sopena:
On the signed chromatic number of some classes of graphs. - Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing:
An Unsupervised Sentence Embedding Method byMutual Information Maximization. - Minsong Ki, Youngjung Uh, Wonyoung Lee, Hyeran Byun:
In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization. - Shunsuke Kitada, Hitoshi Iyatomi:
Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training. - Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raúl Montoliu, Diego Perez Liebana:
Design and Implementation of TAG: A Tabletop Games Framework. - Jin Yang, Gang Peng:
Deep Reinforcement Learning with Stage Incentive Mechanism for Robotic Trajectory Planning. - Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. - Robin Hirsch, Szabolcs Mikulás, Tim Stokes:
The algebra of non-deterministic programs: demonic operators, orders and axioms. - Mohammadreza Doostmohammadian, Nader Meskin:
Sensor Fault Detection and Isolation via Networked Estimation: Full-Rank Dynamical Systems. - Liqin Shi, Yinghui Ye, Xiaoli Chu, Guangyue Lu:
Computation Bits Maximization in a Backscatter Assisted Wirelessly Powered MEC Network. - Sara Mandelli, Nicolò Bonettini, Paolo Bestagini, Stefano Tubaro:
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision. - (Withdrawn) On Pole-Zero Assignment of Vibratory Systems by Multi-Input Feedback Control.
- Amin Heydari Alashti, Ahmad Asgharian Rezaei, Alireza Elahi, Sobhan Sayyaran, Mohammad Ghodsi:
Parsisanj: a semi-automatic component-based approach towards search engine evaluation. - Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik:
Resource-Constrained On-Device Learning by Dynamic Averaging. - José Ignacio Aliaga, Hartwig Anzt, Thomas Grützmacher, Enrique S. Quintana-Ortí, Andrés E. Tomás:
Compressed Basis GMRES on High Performance GPUs. - Zhi Cui, Yanran Li, Jiayi Zhang, Jianwei Cui, Chen Wei, Bin Wang:
Focus-Constrained Attention Mechanism for CVAE-based Response Generation. - Simon Scherrer, Markus Legner, Adrian Perrig, Stefan Schmid:
Incentivizing Stable Path Selection in Future Internet Architectures. - Álvaro Serra-Gómez, Bruno Brito, Hai Zhu, Jen Jen Chung, Javier Alonso-Mora:
With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance. - Mario Kahlhofer, Michael Hölzl, Andreas Berger:
Towards Reconstructing Multi-Step Cyber Attacks in Modern Cloud Environments with Tripwires. - Daegeon Kim, Do Hyung Gu, Huy Kang Kim:
Beyond PS-LTE: Security Model Design Framework for PPDR Operational Environment. - K. Longmate, E. M. Ball, Edmund Dable-Heath, R. J. Young:
Signing Information in the Quantum Era. - Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen:
Towards the Automation of a Chemical Sulphonation Process with Machine Learning. - Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen:
A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process. - Massimo Bartoletti, Andrea Bracciali, Cristian Lepore, Alceste Scalas, Roberto Zunino:
A formal model of Algorand smart contracts. - Brian Fitzpatrick, Enzo De Sena, Toon van Waterschoot:
A Convergence Analysis of the Multipole Expansion Method. - Alessandra Vizzaccaro, Yichang Shen, Loïc Salles, Jirí Blahos, Cyril Touzé:
Direct computation of nonlinear mapping via normal form for reduced-order models of finite element nonlinear structures. - Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran:
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. - Jun Yu, Donglin Zhang, Zhenqiu Shu:
Adaptive Online Multi-modal Hashing via Hadamard Matrix. - Tom Fordyce, Sam Green, Thomas Groß:
Investigation of the Effect of Fear and Stress on Password Choice (Extended Version). - Ian T. Ruginski:
Ethical conceptual replication of visualization research considering sources of methodological bias and practical significance. - Franziska Boenisch:
A Survey on Model Watermarking Neural Networks. - Simon Foster, Yakoub Nemouchi, Mario Gleirscher, Ran Wei, Tim Kelly:
Integration of Formal Proof into Unified Assurance Cases with Isabelle/SACM. - Qiang Xu, Y. Charlie Hu, Abhilash Jindal:
App Parameter Energy Profiling: Optimizing App Energy Drain by Finding Tunable App Parameters. - Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu, Lu Chen, Kai Zheng, Christian S. Jensen:
Spatial-Temporal Demand Forecasting and Competitive Supply via Graph Convolutional Networks. - Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud:
Tarsier: Evolving Noise Injection in Super-Resolution GANs. - Patrick Rodler, Fatima Elichanova:
Do We Really Sample Right In Model-Based Diagnosis? - Chisom Ezinne Ogbuanya:
Improved Dimensionality Reduction of various Datasets using Novel Multiplicative Factoring Principal Component Analysis (MPCA). - Tesshu Hanaka, Yasuaki Kobayashi, Yusuke Kobayashi, Tsuyoshi Yagita:
Finding a Maximum Minimal Separator: Graph Classes and Fixed-Parameter Tractability. - Lukás Adam, Rostislav Horcík, Tomás Kasl, Tomás Kroupa:
Double Oracle Algorithm for Computing Equilibria in Continuous Games. - Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick:
Randomized Progressive Hedging methods for Multi-stage Stochastic Programming. - Patrick Rodler:
Sound, Complete, Linear-Space, Best-First Diagnosis Search. - Benjamin Paul Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein:
Tuning Word2vec for Large Scale Recommendation Systems. - Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou:
Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection. - Cédric Herzog, Valérie Viet Triem Tong, Pierre Wilke, Arnaud Van Straaten, Jean-Louis Lanet:
Evasive Windows Malware: Impact on Antiviruses and Possible Countermeasures. - Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani:
Emergence of complex data from simple local rules in a network game. - Juan Chacon, Mo Chen, Razvan C. Fetecau:
Safe Coverage of Moving Domains for Vehicles with Second Order Dynamics. - Qi Dai, Xunnong Xu, Wen Guo, Suzhou Huang, Dimitar P. Filev:
Towards a Systematic Computational Framework for Modeling Multi-Agent Decision-Making at Micro Level for Smart Vehicles in a Smart World. - Jorge L. Suzuki, Pegah Varghaei, Ehsan Kharazmi, Mohsen Zayernouri:
Anomalous Nonlinear Dynamics Behavior of Fractional Viscoelastic Structures. - Chengwen Xing, Shuai Wang, Sheng Chen, Shaodan Ma, H. Vincent Poor, Lajos Hanzo:
Matrix-Monotonic Optimization Part II: Multi-Variable Optimization. - Jon McCormack, Andy Lomas:
Deep Learning of Individual Aesthetics. - Linda Capito, Bowen Weng, Ümit Özgüner, Keith A. Redmill:
A Modeled Approach for Online Adversarial Test of Operational Vehicle Safety. - Liam Jordon, Philippe Moser:
Pebble-Depth. - Xiu Ye, Shangyou Zhang:
A stabilizer free WG Method for the Stokes Equations with order two superconvergence on polytopal mesh. - Mohammad Javad Salehi, Emanuele Parrinello, Seyed Pooya Shariatpanahi, Petros Elia, Antti Tölli:
Low-Complexity High-Performance Cyclic Caching for Large MISO Systems. - Zhangxuan Gu, Siyuan Zhou, Li Niu, Zihan Zhao, Liqing Zhang:
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation. - Sagar Malhotra, Luciano Serafini:
Weighed Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula. - Mark O. Riedl:
Weird AI Yankovic: Generating Parody Lyrics. - Claudio Menghi, Enrico Viganò, Domenico Bianculli, Lionel C. Briand:
Trace-Checking CPS Properties: Bridging the Cyber-Physical Gap. - Pierre-Louis Antonsanti, Thomas Benseghir, Vincent Jugnon, Joan Glaunès:
Database Annotation with few Examples: An Atlas-based Framework using Diffeomorphic Registration of 3D Trees. - Thomas Faingnaert, Tim Besard, Bjorn De Sutter:
Flexible Performant GEMM Kernels on GPUs. - Ehsan Doostmohammadi, Mohammad Hadi Bokaei, Hossein Sameti:
PerKey: A Persian News Corpus for Keyphrase Extraction and Generation. - Ehsan Doostmohammadi, Mohammad Hadi Bokaei, Hossein Sameti:
Persian Keyphrase Generation Using Sequence-to-Sequence Models. - Thi Ha Ly Dinh, Megumi Kaneko, Ellen Hidemi Fukuda, Lila Boukhatem:
Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks with Outdated Channel Knowledge. - Juncong Fei, Wenbo Chen, Philipp Heidenreich, Sascha Wirges, Christoph Stiller:
SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation. - Raghavendra Selvan, Silas Nyboe Ørting, Erik B. Dam:
Locally orderless tensor networks for classifying two- and three-dimensional medical images. - Cogan Shimizu, Ryan M. McGranaghan, Aaron Eberhart, Adam C. Kellerman:
Towards a Modular Ontology for Space Weather Research. - Yacine Al-Najjar, Walid Ben-Ameur, Jeremie Leguay:
On the Approximability of Robust Network Design. - Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín:
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning. - Matthew Sharpe:
A review of metadata fields associated with podcast RSS feeds. - Céline Comte, Jan-Pieter L. Dorsman:
Pass-and-swap queues. - Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Towards Debiasing NLU Models from Unknown Biases. - Guido Brückner, Ignaz Rutter:
An SPQR-Tree-Like Embedding Representation for Level Planarity. - Simon Baeuerle, Jonas Barth, Elton Renato Tavares de Menezes, Andreas Steimer, Ralf Mikut:
CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings. - Victor Milewski, Marie-Francine Moens, Iacer Calixto:
Are scene graphs good enough to improve Image Captioning? - Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan:
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data. - Son T. Luu, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
Empirical Study of Text Augmentation on Social Media Text in Vietnamese. - Ahmed Ben Said, Abdelkarim Erradi, Hussein Aly, Abdelmonem Mohamed:
Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series. - Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell:
Online Missing Value Imputation and Correlation Change Detection for Mixed-type Data via Gaussian Copula. - Andreas Katis, Grigory Fedyukovich, Jeffrey Chen, David A. Greve, Sanjai Rayadurgam, Michael W. Whalen:
Synthesis of Infinite-State Systems with Random Behavior. - Alex Dytso, Martina Cardone, Cynthia Rush:
Measuring Dependencies of Order Statistics: An Information Theoretic Perspective. - Adrian Sandru, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition. - Yurio Windiatmoko, Ahmad Fathan Hidayatullah, Ridho Rahmadi:
Developing FB Chatbot Based on Deep Learning Using RASA Framework for University Enquiries. - Mika Juuti, Tommi Gröndahl, Adrian Flanagan, N. Asokan:
A little goes a long way: Improving toxic language classification despite data scarcity. - Hunmin Kim, Wenbin Wan, Naira Hovakimyan, Lui Sha, Petros G. Voulgaris:
Robust Vehicle Lane Keeping Control with Networked Proactive Adaptation. - Gan Zhou, Zhi Li, Meng Fu, Yanjun Feng, Xingyao Wang, Chengwei Huang:
Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network. - Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar:
Deep Learning based Covert Attack Identification for Industrial Control Systems. - Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes. - Shuang Gao, Aditya Mahajan:
Networked control of coupled subsystems: Spectral decomposition and low-dimensional solutions. - Pankaj K. Agarwal, Boris Aronov, Tzvika Geft, Dan Halperin:
On Two-Handed Planar Assembly Partitioning. - Alessandro Alla, Maurizio Falcone, Luca Saluzzi:
A tree structure algorithm for optimal control problems with state constraints. - Mohammed Aamir Ali, Thomas Groß, Aad van Moorsel:
Investigation of 3-D Secure's Model for Fraud Detection. - David Frenzel, Jens Lang:
A Third-Order Weighted Essentially Non-Oscillatory Scheme in Optimal Control Problems Governed by Nonlinear Hyperbolic Conservation Laws. - Mohammad Keshavarzi, Aakash Parikh, Xiyu Zhai, Melody Mao, Luisa Caldas, Allen Y. Yang:
SceneGen: Generative Contextual Scene Augmentation using Scene Graph Priors. - Edgar Galván, Fergal Stapleton:
Semantic-based Distance Approaches in Multi-objective Genetic Programming. - Yanpeng Zhao, Ivan Titov:
Visually Grounded Compound PCFGs. - Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan:
Fair and Efficient Online Allocations with Normalized Valuations. - Utkarsh Sarawgi, Wazeer Zulfikar, Rishab Khincha, Pattie Maes:
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles. - Yunchuan Li, Michael C. Fu, Jie Xu:
An Optimal Computing Budget Allocation Tree Policy for Monte Carlo Tree Search. - Luke Drnach, Ye Zhao:
Robust Trajectory Optimization over Uncertain Terrain with Stochastic Complementarity. - Marc-Antoine Beaudoin, Benoit Boulet:
Fundamental limitations to no-jerk gearshift in electric vehicles: the importance of transmission architectures. - Chantal Montgomery, Haruna Isah, Farhana H. Zulkernine:
Towards a Natural Language Query Processing System. - Ruoran Liu, Haruna Isah, Farhana H. Zulkernine:
A Big Data Lake for Multilevel Streaming Analytics. - Rafael Garcia Barbastefano, Maria Clara Lippi, Diego Carvalho:
Process mining classification with a weightless neural network. - Mohammad Javad Shayegan, Maasoumeh Kouhzadi:
An Analysis of the Impact of SEO on University Website Ranking. - Mikhail Romanov, Nikolay Patakin, Anna Vorontsova, Anton Konushin:
Towards General Purpose and Geometry Preserving Single-View Depth Estimation. - Victor Prokhorov, Yingzhen Li, Ehsan Shareghi, Nigel Collier:
Hierarchical Sparse Variational Autoencoder for Text Encoding. - Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
XTE: Explainable Text Entailment. - G. M. Mashrur E Elahi, Yee-Hong Yang:
Online Learnable Keyframe Extraction in Videos and its Application with Semantic Word Vector in Action Recognition. - Trenton S. Sieb, Ajay Singh Ludher, Lorelei Guidos, Hashim A. Hashim:
FLC tuned with Gravitational Search Algorithm for Nonlinear Pose Filter. - Karthekeyan Chandrasekaran, Chandra Chekuri:
Hypergraph k-cut for fixed k in deterministic polynomial time. - Fazeleh Sadat Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani:
A Generic Framework for Clustering Vehicle Motion Trajectories. - Binghan He, Huang Huang, Gray C. Thomas, Luis Sentis:
A Complex Stiffness Human Impedance Model with Customizable Exoskeleton Control. - Sandy Schoettler, Andrew Thompson, Rakshith Gopalakrishna, Trinabh Gupta:
Walnut: A low-trust trigger-action platform. - Jean-Philippe Corbeil, Hadi Abdi Ghadivel:
BET: A Backtranslation Approach for Easy Data Augmentation in Transformer-based Paraphrase Identification Context. - Mario Blaum:
Multiple-Layer Integrated Interleaved Codes: A Class of Hierarchical Locally Recoverable Codes. - Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry, Ümit V. Çatalyürek:
A Block-Based Triangle Counting Algorithm on Heterogeneous Environments. - Jaromír Janisch, Tomás Pevný, Viliam Lisý:
Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks. - Eslam Hussein, Hoda Eldardiry:
Investigating Misinformation in Online Marketplaces: An Audit Study on Amazon. - Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry:
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting. - Seth Frey, Nathan Schneider:
Effective Voice: Beyond Exit and Affect in Online Communities. - Navid Mohammad Imran, Myounggyu Won:
Reducing Operation Cost of LPWAN Roadside Sensors Using Cross Technology Communication. - Deying Kong, Haoyu Ma, Xiaohui Xie:
SIA-GCN: A Spatial Information Aware Graph Neural Network with 2D Convolutions for Hand Pose Estimation. - Kishore Kothapalli, Shreyas Pai, Sriram V. Pemmaraju:
Sample-and-Gather: Fast Ruling Set Algorithms in the Low-Memory MPC Model. - Sumeet Menon, Joshua Galita, David R. Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris:
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN. - David Burth Kurka, Deniz Gündüz:
Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding. - Xihan Chen, Yunlong Cai, An Liu, Lajos Hanzo:
Joint User Scheduling and Resource Allocation for Millimeter Wave Systems Relying on Adaptive-Resolution ADCs. - Abdul Kawsar Tushar, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed:
Mental Health and Sensing. - Jianren Wang, Ziwen Zhuang, Hang Zhao:
SEMI: Self-supervised Exploration via Multisensory Incongruity. - Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie:
Rubik: A Hierarchical Architecture for Efficient Graph Learning. - Qiang Liu:
Modeling Dyadic Conversations for Personality Inference. - Gianluca Longoni, Ryan LaMothe, Jeremy Teuton, Mark Greaves, Nicole Nichols, William Smith:
Machine Learning Algorithms for Active Monitoring of High Performance Computing as a Service (HPCaaS) Cloud Environments. - Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Min Song, Yujia Zhai, Ying Ding:
Can pandemics transform scientific novelty? Evidence from COVID-19. - Yassine Yaakoubi, Simon Lacoste-Julien, François Soumis:
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer. - Sashank Santhanam, Zhuo Cheng, Brodie Mather, Bonnie J. Dorr, Archna Bhatia, Bryanna Hebenstreit, Alan Zemel, Adam Dalton, Tomek Strzalkowski, Samira Shaikh:
Learning to Plan and Realize Separately for Open-Ended Dialogue Systems. - Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng:
Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion. - Haoxin Wang, Tingting Liu, BaekGyu Kim, Chung-Wei Lin, Shinichi Shiraishi, Jiang (Linda) Xie, Zhu Han:
Architectural Design Alternatives based on Cloud/Edge/Fog Computing for Connected Vehicles. - Guangyu Xi, Chao Tao, Yuan Zhou:
Near-Optimal MNL Bandits Under Risk Criteria. - Rijun Liao, Weizhi An, Shiqi Yu, Zhu Li, Yongzhen Huang:
Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN. - Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dinh Phung:
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings. - Serban Stan, Mohammad Rostami:
Unsupervised Model Adaptation for Continual Semantic Segmentation. - Grant O. Passmore, Ruben Gamboa:
Proceedings of the Sixteenth International Workshop on the ACL2 Theorem Prover and its Applications, Worldwide, Planet Earth, May 28-29, 2020. EPTCS 327, 2020 [contents] - Zanyar Zohourianshahzadi, Jugal Kumar Kalita:
Neural Twins Talk. - Xiaolong Zhong, Zhong Yin:
Cross-individual Recognition of Emotions by a Dynamic Entropy based on Pattern Learning with EEG features. - Qifeng Zhang, Lingling Liu:
Uniform convergence and stability of linearized fourth-order conservative compact scheme for Benjamin-Bona-Mahony-Burgers' equation. - Ryoji Tanabe:
Analyzing Adaptive Parameter Landscapes in Parameter Adaptation Methods for Differential Evolution. - A. Phani Kumar Reddy, Navin Kumar, Tirumalasetty Sri Sai Apoorva, Srinivasan S, Vinosh Babu James J.:
Latency Analysis for IMT-2020 Radio Interface Technology Evaluation. - Gaurav Arora:
iNLTK: Natural Language Toolkit for Indic Languages. - Yi Xu, Hai Zhao, Zhuosheng Zhang:
Topic-Aware Multi-turn Dialogue Modeling. - Ashish Rajendra Sai, Jim Buckley, Brian Fitzgerald, Andrew Le Gear:
Taxonomy of Centralization in Public Blockchain Systems: A Systematic Literature Review. - Alfred Schöttl:
A light-weight method to foster the (Grad)CAM interpretability and explainability of classification networks. - Dong Zhang, Hanwang Zhang, Jinhui Tang, Xiansheng Hua, Qianru Sun:
Causal Intervention for Weakly-Supervised Semantic Segmentation. - Wei Zhou, Yukang Wang, Jiajia Chu, Jiehua Yang, Xiang Bai, Yongchao Xu:
Affinity Space Adaptation for Semantic Segmentation Across Domains. - Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck:
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. - Shashwat Aggarwal, Ramesh Singh:
Metaphor Detection using Deep Contextualized Word Embeddings. - Mohamad Mansour, Fouad Khnaisser, Hmayag Partamian:
An Explainable Model for EEG Seizure Detection based on Connectivity Features. - Hongfeng You, Long Yu, Shengwei Tian, Xiang Ma, Yan Xing, Xiaojie Ma:
DT-Net: A novel network based on multi-directional integrated convolution and threshold convolution. - Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow:
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. - Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Crina Tudor:
A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition. - Mario Di Mauro, Antonio Liotta:
An experimental evaluation and characterization of VoIP over an LTE-A network. - Jörg Bornschein, Francesco Visin, Simon Osindero:
Small Data, Big Decisions: Model Selection in the Small-Data Regime. - Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez:
Inductive Graph Embeddings through Locality Encodings. - Rachit Agarwal, Abhik Banerjee:
Infection Risk Score: Identifying the risk of infection propagation based on human contact. - Bilen Emek Abali, Emilio Barchiesi:
Additive manufacturing introduced substructure and computational determination of metamaterials parameters by means of the asymptotic homogenization. - Roman Vasiliev, Dmitrij V. Koznov, George A. Chernishev, Aleksandr Khvorov, Dmitry V. Luciv, Nikita Povarov:
TraceSim: A Method for Calculating Stack Trace Similarity. - Zixuan Xiao, Wei Xue, Ping Zhong:
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images. - Dongwei Zhao, Hao Wang, Jianwei Huang, Xiaojun Lin:
Contract-based Time-of-use Pricing for Energy Storage Investment. - Gavin Rens, Jean-François Raskin, Raphaël Reynouad, Giuseppe Marra:
Online Learning of Non-Markovian Reward Models. - Andreea Deac, Pierre-Luc Bacon, Jian Tang:
Graph neural induction of value iteration. - Chaozheng Wu, Jian Chen, Qiaoyu Cao, Jianchi Zhang, Yunxin Tai, Lin Sun, Kui Jia:
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps. - Greg Anderson, Abhinav Verma, Isil Dillig, Swarat Chaudhuri:
Neurosymbolic Reinforcement Learning with Formally Verified Exploration. - Arthur Malajyan, Karen Avetisyan, Tsolak Ghukasyan:
ARPA: Armenian Paraphrase Detection Corpus and Models. - Lawrence C. Stewart, Carlo Pascoe, Brian W. Sherman, Martin C. Herbordt, Vipin Sachdeva:
An OpenCL 3D FFT for Molecular Dynamics Simulations on Multiple FPGAs. - Donatella Darsena, Giacinto Gelli, Ivan Iudice, Francesco Verde:
Safe and Reliable Public Transportation Systems (SALUTARY) in the COVID-19 pandemic. - Maha J. Althobaiti:
Automatic Arabic Dialect Identification Systems for Written Texts: A Survey. - Klim Zaporojets, Johannes Deleu, Chris Develder, Thomas Demeester:
DWIE: an entity-centric dataset for multi-task document-level information extraction. - Youzhi Zhang, Bo An:
Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. - Mahmoud Afifi, Michael S. Brown:
Interactive White Balancing for Camera-Rendered Images. - Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control. - Nick Brown:
Applying Type Oriented Programming to the PGAS Memory Model. - Nick Brown, Jonathan Mark Bull, Iain Bethune:
A highly scalable approach to solving linear systems using two-stage multisplitting. - Ning Shi, Ziheng Zeng, Haotian Zhang, Yichen Gong:
Recurrent Inference in Text Editing. - John C. Baez, John Foley:
Operads for Designing Systems of Systems. - Yiwen Meng, William Speier, Michael K. Ong, Corey W. Arnold:
Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data for Chronic to Predict Depression. - Olga G. Vikhrova, Federico Chiariotti, Beatriz Soret, Giuseppe Araniti, Antonella Molinaro, Petar Popovski:
Age of Information in Multi-hop Networks with Priorities. - Hossein Sharifi-Noghabi, Hossein Asghari, Nazanin Mehrasa, Martin Ester:
Domain Generalization via Semi-supervised Meta Learning. - Xin Li, Yanyan Li, Evin Pinar Örnek, Jinlong Lin, Federico Tombari:
Co-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry. - Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks. - Rocco Bombardieri, Rauno Cavallaro, Ruben Sanchez, Nicolas R. Gauger:
Aerostructural Wing Shape Optimization assisted by Algorithmic Differentiation. - Twisha Titirsha, Anup Das:
Reliability-Performance Trade-offs in Neuromorphic Computing. - Matthias Kerzel, Fares Abawi, Manfred Eppe, Stefan Wermter:
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks. - Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan:
A Primal-Dual Subgradient Approach for Fair Meta Learning. - Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu:
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. - Benjamin Busam, Hyun Jun Jung, Nassir Navab:
I Like to Move It: 6D Pose Estimation as an Action Decision Process. - Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Clustering-based Unsupervised Generative Relation Extraction. - He Sun, Zhun Deng, Hui Chen, David C. Parkes:
Decision-Aware Conditional GANs for Time Series Data. - Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction. - Jonathan Reiner, Guy Azran, Gal Hyams:
MicroAnalyzer: A Python Tool for Automated Bacterial Analysis with Fluorescence Microscopy. - Luis Rademacher, Chang Shu:
The smoothed complexity of Frank-Wolfe methods via conditioning of random matrices and polytopes. - Vikram Krishnamurthy, George Yin:
Adaptive Non-reversible Stochastic Gradient Langevin Dynamics. - Juan Camilo Fonseca Galindo, Gabriela de Castro Surita, José Maia Neto, Cristiano Leite de Castro, André Paim Lemos:
A Multi-Agent System for Solving the Dynamic Capacitated Vehicle Routing Problem with Stochastic Customers using Trajectory Data Mining. - Chejui Liao, Tabish Maniar, Sravanajyothi N, Anantha Sharma:
Techniques to Improve Q&A Accuracy with Transformer-based models on Large Complex Documents. - Mikhail Dmitrienko, Abhishek Singh, Patrick Erichsen, Ramesh Raskar:
Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic. - Vidya Setlur, Arathi Kumar:
Sentifiers: Interpreting Vague Intent Modifiers in Visual Analysis using Word Co-occurrence and Sentiment Analysis. - Konstantinos Kogkalidis, Michael Moortgat, Richard Moot:
Neural Proof Nets. - Truong Nguyen, Guangye Chen, Luis Chacón:
An Adaptive EM Accelerator for Unsupervised Learning of Gaussian Mixture Models. - Zeren Shui, George Karypis:
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties. - Gasper Begus:
Local and non-local dependency learning and emergence of rule-like representations in speech data by Deep Convolutional Generative Adversarial Networks. - Vu Thai Luan:
Efficient exponential Runge-Kutta methods of high order: construction and implementation. - Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier:
Differentially Private Adversarial Robustness Through Randomized Perturbations. - Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, Minlie Huang:
Stylized Dialogue Response Generation Using Stylized Unpaired Texts. - Hongming Zhang, Xinran Zhao, Yangqiu Song:
A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution. - Shixian Wen, Laurent Itti:
Beneficial Perturbations Network for Defending Adversarial Examples. - Shivangi Mahto, Vy A. Vo, Javier S. Turek, Alexander G. Huth:
Multi-timescale representation learning in LSTM Language Models. - Bo Wang, Wenzhong Zhang, Wei Cai:
Multi-scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains. - Franck Djeumou, Abraham P. Vinod, Eric Goubault, Sylvie Putot, Ufuk Topcu:
On-The-Fly Control of Unknown Smooth Systems from Limited Data. - Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin:
Modeling Topical Relevance for Multi-Turn Dialogue Generation. - Lebsework Negash, Han-Lim Choi:
Resilient Networking in Formation Flying UAVs. - Liwei An, Guang-Hong Yang:
Secure distributed adaptive optimal coordination of nonlinear cyber-physical systems with attack diagnosis. - Shengzhe Xu, Manish Marwah, Naren Ramakrishnan:
STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models. - Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida:
Handwriting Prediction Considering Inter-Class Bifurcation Structures. - Ho Ling Li:
Faster Biological Gradient Descent Learning. - Ali Risheh, Amirmohammad Jalili, Ehsan Nazerfard:
Smart Irrigation IoT Solution using Transfer Learning for Neural Networks. - Shanshan Hao, Renjie Liu, Zhe Weng, Deliang Chang, CongXiao Bao, Xing Li:
Addressless: A New Internet Server Model to Prevent Network Scanning. - Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. - Yinglin Duan, Tianyang Shi, Zhengxia Zou, Jia Qin, Yifei Zhao, Yi Yuan, Jie Hou, Xiang Wen, Changjie Fan:
Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation. - Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Baobao Chang, Zhifang Sui:
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. - Kaihang Guo, Jesse Chan:
High order weight-adjusted discontinuous Galerkin methods for wave propagation on moving curved meshes. - Deepak Gupta, Swati Suman, Asif Ekbal:
Hierarchical Deep Multi-modal Network for Medical Visual Question Answering. - Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, Ulf Geir Indahl, Cecilia Marie Futsaether, Oliver Tomic:
RENT - Repeated Elastic Net Technique for Feature Selection. - Leila Sedghi, Zohaib Ijaz, Md. Noor-A-Rahim, Kritchai Witheephanich, Dirk Pesch:
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues. - Hanna Furmanczyk, Vahan Mkrtchyan:
Graph theoretic and algorithmic aspect of the equitable coloring problem in block graphs. - Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar:
Over-the-Air Federated Learning from Heterogeneous Data. - Ryoji Tanabe, Hisao Ishibuchi:
An Analysis of Quality Indicators Using Approximated Optimal Distributions in a Three-dimensional Objective Space. - Yann Dubois, Douwe Kiela, David J. Schwab, Ramakrishna Vedantam:
Learning Optimal Representations with the Decodable Information Bottleneck. - Thierry Denoeux:
NN-EVCLUS: Neural Network-based Evidential Clustering. - Yanan Liu, Laurie Bose, Colin Greatwood, Jianing Chen, Rui Fan, Thomas S. Richardson, Stephen J. Carey, Piotr Dudek, Walterio W. Mayol-Cuevas:
Agile Reactive Navigation for A Non-Holonomic Mobile Robot Using A Pixel Processor Array. - Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. - Nima Tashakor, Teymoor Ghanbari, Ebrahim Farjah, Ehsan Bagheri, Stefan M. Goetz:
Solid-State Inrush Current Limiter Controller Based on Inrush Prediction for Large Transformers. - Giulio Ermanno Pibiri, Shunsuke Kanda:
Rank/Select Queries over Mutable Bitmaps. - Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. - Neta Shoham, Haim Avron:
Experimental Design for Overparameterized Learning with Application to Single Shot Deep Active Learning. - Ittai Abraham, Gilad Stern:
Information Theoretic HotStuff. - Haoliang Li, Yufei Wang, Renjie Wan, Shiqi Wang, Tie-Qiang Li, Alex C. Kot:
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization. - Atreyee Kundu, Pavithra Prabhakar:
Learning event-driven switched linear systems. - Meng Xia, Reshika Palaniyappan Velumani, Yong Wang, Huamin Qu, Xiaojuan Ma:
QLens: Visual Analytics of Multi-step Problem-solving Behaviors for Improving Question Design. - Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. - Hyesong Choi, Hunsang Lee, Sunkyung Kim, Sunok Kim, Seungryong Kim, Dongbo Min:
Adaptive confidence thresholding for semi-supervised monocular depth estimation. - Navin Raj Prabhu, Chirag Raman, Hayley Hung:
Defining and Quantifying Conversation Quality in Spontaneous Interactions. - Damian Arellanes:
Self-Organizing Software Models for the Internet of Things. - Nick Brown:
A Type-Oriented Graph500 Benchmark. - Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard, Thomas Allen, Mike Rezny:
A highly scalable Met Office NERC Cloud model. - Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard:
A directive based hybrid Met Office NERC Cloud model. - Nicolás E. Díaz Ferreyra, Esma Aïmeur, Hicham Hage, Maritta Heisel, Catherine García van Hoogstraten:
Persuasion Meets AI: Ethical Considerations for the Design of Social Engineering Countermeasures. - Pamela Zave, Jennifer Rexford, John Sonchack:
The Remaining Improbable: Toward Verifiable Network Services. - Rochelle Choenni, Ekaterina Shutova:
What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties. - Lei M. Zhang, Matthias Plappert, Wojciech Zaremba:
Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models. - Ryoji Tanabe, Hisao Ishibuchi:
An Easy-to-use Real-world Multi-objective Optimization Problem Suite. - Francisco Benita, Vittorio Bilò, Barnabé Monnot, Georgios Piliouras, Cosimo Vinci:
Data-Driven Models of Selfish Routing: Why Price of Anarchy Does Depend on Network Topology. - Julian Busch, Evgeniy Faerman, Matthias Schubert, Thomas Seidl:
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering. - Faruk Ahmed, Md. Sultan Mahmud, Kazi Ashraf Moinuddin, Mohammed Istiaque Hyder, Mohammed Yeasin:
Virtual Experience to Real World Application: Sidewalk Obstacle Avoidance Using Reinforcement Learning for Visually Impaired. - Derya Malak, Muriel Médard:
Function Load Balancing over Networks. - Derya Malak, Muriel Médard:
A Distributed Computationally Aware Quantizer Design via Hyper Binning. - Aniruddha Mazumdar, Prabin Kumar Bora:
Two-stream Encoder-Decoder Network for Localizing Image Forgeries. - Thomas Bellitto, Shaohua Li, Karolina Okrasa, Marcin Pilipczuk, Manuel Sorge:
The Complexity of Connectivity Problems in Forbidden-Transition Graphs and Edge-Colored Graphs. - James Nachbar, Haifeng Xu:
The Power of Signaling and its Intrinsic Connection to the Price of Anarchy. - Morteza Shahrezaye, Miriam Meckel, Léa Steinacker, Viktor Suter:
COVID-19's (mis)information ecosystem on Twitter: How partisanship boosts the spread of conspiracy narratives on German speaking Twitter. - Nihal Ezgi Yücetürk, Kutay Candan:
Load Balancing and Mutisource Routing in Information-Centric-Networking. - Prithvi Akella, Ugo Rosolia, Andrew Singletary, Aaron D. Ames:
Formal Verification of Safety Critical Autonomous Systems via Bayesian Optimization. - Anton Hasselgren, Paul Kengfai Wan, Margareth Horn, Katina Kralevska, Danilo Gligoroski, Arild Faxvaag:
GDPR Compliance for Blockchain Applications in Healthcare. - Yingjie Hu, Jimin Wang:
How do people describe locations during a natural disaster: an analysis of tweets from Hurricane Harvey. - Sumit Kumar, Yiming Gu, Jerrick Hoang, Galen Clark Haynes, Micol Marchetti-Bowick:
Interaction-Based Trajectory Prediction Over a Hybrid Traffic Graph. - Simiao Ren, Willie Padilla, Jordan M. Malof:
Benchmarking deep inverse models over time, and the neural-adjoint method. - Xi Chen, David Simchi-Levi, Yining Wang:
Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. - Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu:
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. - Wasiq Khan, Abir Hussain, Sohail Ahmed Khan, Mohammed Al-Jumaily, Raheel Nawaz:
Association Learning Between the COVID-19 Infections and Global Demographic Characteristics Using the Class Rule Mining and Pattern Matching. - Brittany Davis Pierson, Maria Glenski, William Sealy, Dustin Arendt:
Measure Utility, Gain Trust: Practical Advice for XAI Researcher. - Manohar Kaul, Dai Tamaki:
A Weighted Quiver Kernel using Functor Homology. - Qinyi Chen, Mason A. Porter:
Epidemic Thresholds of Infectious Diseases on Tie-Decay Networks. - Yawei Ge, Heike Hofmann:
A grammar of graphics framework for generalized parallel coordinate plots. - Noah Burrell, Grant Schoenebeck:
Relaxing Common Belief for Social Networks. - Hanwen Dai, Li Jin:
Analysis of a Markovian Queuing Model for Autonomous Signal-Free Intersection. - Georgios Takos:
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time. - Trevor Bergstrom, Humphrey Shi:
Human-Object Interaction Detection: A Quick Survey and Examination of Methods. - Vaishnavi Kommaraju, Karthick Gunasekaran, Kun Li, Trapit Bansal, Andrew McCallum, Ivana Williams, Ana-Maria Istrate:
Unsupervised Pre-training for Biomedical Question Answering. - Austin R. Coffman, Ana Busic, Prabir Barooah:
Control oriented modeling of TCLs. - Archiki Prasad, Vishal Jain, Sharayu Moharir:
Decentralized Age-of-Information Bandits. - Bruno Klaus de Aquino Afonso, Lilian Berton:
Analysis of label noise in graph-based semi-supervised learning. - Connor Daly:
Recognition and Synthesis of Object Transport Motion. - Yifang Liu, Zhentao Xu, Qiyuan An, Yang Yi, Yanzhi Wang, Trevor Hastie:
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach. - Fred Valdez Ameneyro, Edgar Galván, Ángel Fernando Kuri Morales:
Playing Carcassonne with Monte Carlo Tree Search. - Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren:
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. - Oscar Darwin, Stefan Kiefer:
Equivalence of Hidden Markov Models with Continuous Observations. - Negar Mokhberian, Andrés Abeliuk, Patrick Cummings, Kristina Lerman:
Moral Framing and Ideological Bias of News. - Tim Sainburg, Leland McInnes, Timothy Q. Gentner:
Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning. - Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee:
AIM 2020 Challenge on Video Temporal Super-Resolution. - Ben Goertzel:
Uncertain Linear Logic via Fibring of Probabilistic and Fuzzy Logic. - Kaihua Tang, Jianqiang Huang, Hanwang Zhang:
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect. - Bin Wu, Xue-Cheng Tai, Talal Rahman:
Sparse-data based 3D surface reconstruction with vector matching. - Haoding Meng, Qingcheng Zeng, Xiaoyang Fang, Zhexin Liang:
Fancy Man Lauches Zippo at WNUT 2020 Shared Task-1: A Bert Case Model for Wet Lab Entity Extraction. - Shaoming Song, Yunfeng Shao, Jian Li:
Loosely Coupled Federated Learning Over Generative Models. - Zhongqi Yue, Hanwang Zhang, Qianru Sun, Xian-Sheng Hua:
Interventional Few-Shot Learning. - Yu Chen, Zhenming Liu, Bin Ren, Xin Jin:
On Efficient Constructions of Checkpoints. - Uri Meir, Ami Paz, Gregory Schwartzman:
Models of Smoothing in Dynamic Networks. - Anjul Kumar Tyagi, Cong Xie, Klaus Mueller:
Visual Steering for One-Shot Deep Neural Network Synthesis. - Latif U. Khan, Walid Saad, Zhu Han, Ekram Hossain, Choong Seon Hong:
Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges. - Tiancheng Zhao, Xiaopeng Lu, Kyusong Lee:
SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval. - Ishan Karunanayake, Nadeem Ahmed, Robert A. Malaney, Rafiqul Islam, Sanjay K. Jha:
Anonymity with Tor: A Survey on Tor Attacks. - Panwen Hu, Jiazhen Liu, Rui Huang:
Concentrated Multi-Grained Multi-Attention Network for Video Based Person Re-Identification. - Tao Jiang, Young-San Lin, Thanh Nguyen:
Market Equilibrium in Multi-tier Supply Chain Networks. - Khurram Shahzad, Xiangyun Zhou:
Covert Wireless Communications under Quasi-Static Fading with Channel Uncertainty. - Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. - Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi:
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence. - Xianchen Zhou, Hongxia Wang:
RoGAT: a robust GNN combined revised GAT with adjusted graphs. - Hang Song, Yuncheng Jiang:
The value chain of Industrial IoT and its reference framework for digitalization. - Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang:
Kernel Based Progressive Distillation for Adder Neural Networks. - Wenhao Zhan, Haoyue Tang, Jintao Wang:
Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint. - Chaoxing Huang:
Event-based Action Recognition Using Timestamp Image Encoding Network. - (Withdrawn) Agent Environment Cycle Games.
- Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin:
Rotated Binary Neural Network. - Luis A. Pineda, Gibrán Fuentes, Rafael Morales:
An Entropic Associative Memory. - Shashwat Aggarwal, Ramesh Singh:
Visual Exploration and Knowledge Discovery from Biomedical Dark Data. - Huy Duc Huynh, Hang Thi-Thuy Do, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
A Simple and Efficient Ensemble Classifier Combining Multiple Neural Network Models on Social Media Datasets in Vietnamese. - Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Yunseong Lee, Byung-Gon Chun:
Accelerating Multi-Model Inference by Merging DNNs of Different Weights. - Jérémy Dubut, Akihisa Yamada:
Fixed Points Theorems for Non-Transitive Relations. - Lima Agnel Tony, Shuvrangshu Jana, Aashay Anil Bhise, Varun V. P., Aruul Mozhi Varman S, Vidyadhara B. V, Mohitvishnu S. Gadde, Debasish Ghose, Raghu Krishnapuram:
Vision based Target Interception using Aerial Manipulation. - Mubarak Albarka Umar, Zhanfang Chen, Yan Liu:
A Hybrid Intrusion Detection with Decision Tree for Feature Selection. - Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan:
ε-net Induced Lazy Witness Complexes on Graphs. - Rajeev Yasarla, Vishwanath A. Sindagi, Vishal M. Patel:
Semi-Supervised Image Deraining using Gaussian Processes. - Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai:
Distribution Matching for Crowd Counting. - Chengling Fang, Jiang Liu, Songqing Ye, Ju Zhang:
The Geometric Unscented Kalman Filter. - Boaz Shmueli, Lun-Wei Ku, Soumya Ray:
Reactive Supervision: A New Method for Collecting Sarcasm Data. - Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, Peter Szolovits:
What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams. - Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang:
PERF-Net: Pose Empowered RGB-Flow Net. - Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin:
Deep Reinforcement Learning for DER Cyber-Attack Mitigation. - Arash Rafiey:
A note on weak near unanimity polymorphisms. - Masahiro Kato, Shota Yasui:
Learning Classifiers under Delayed Feedback with a Time Window Assumption. - Neng Wan, Dapeng Li, Naira Hovakimyan:
f-Divergence Variational Inference. - Takashi Mori, Masahito Ueda:
Improved generalization by noise enhancement. - Rémi Eyraud, Stéphane Ayache:
Distillation of Weighted Automata from Recurrent Neural Networks using a Spectral Approach. - Xian Li, Asa Cooper Stickland, Yuqing Tang, Xiang Kong:
Deep Transformers with Latent Depth. - Maolin Wang, Seyedramin Rasoulinezhad, Philip H. W. Leong, Hayden Kwok-Hay So:
NITI: Training Integer Neural Networks Using Integer-only Arithmetic. - Jiannan Xiang, Xin Eric Wang, William Yang Wang:
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation. - Rungroj Maipradit, Bin Lin, Csaba Nagy, Gabriele Bavota, Michele Lanza, Hideaki Hata, Kenichi Matsumoto:
Automated Identification of On-hold Self-admitted Technical Debt. - Anh Khoa Ngo Ho, François Yvon:
Neural Baselines for Word Alignment. - Anh Khoa Ngo Ho, François Yvon:
Generative latent neural models for automatic word alignment. - Jianqi Ma:
RRPN++: Guidance Towards More Accurate Scene Text Detection. - Sebastian Junges, Joost-Pieter Katoen, Guillermo A. Pérez, Tobias Winkler:
The Complexity of Reachability in Parametric Markov Decision Processes. - Pascal Nardini, Min Chen, Roxana Bujack, Michael Böttinger, Gerik Scheuermann:
A Testing Environment for Continuous Colormaps. - Yuanfei Huang, Jie Li, Xinbo Gao, Yanting Hu, Wen Lu:
Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution. - Hendrik Ranocha, Gregor J. Gassner:
Preventing pressure oscillations does not fix local linear stability issues of entropy-based split-form high-order schemes. - Mario Di Mauro, Maurizio Longo, Fabio Postiglione:
Availability Evaluation of Multi-tenant Service Function Chaining Infrastructures by Multidimensional Universal Generating Function. - Mirsalar Kamari, Oguz Gunes:
Segmentation and Analysis of a Sketched Truss Frame Using Morphological Image Processing Techniques. - Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao:
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients. - William Agnew, Christopher Xie, Aaron Walsman, Octavian Murad, Caelen Wang, Pedro Domingos, Siddhartha S. Srinivasa:
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity. - Mario Di Mauro, Antonio Liotta:
Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach. - Patricia Bouyer, Thomas Brihaye, Mickael Randour, Cédric Rivière, Pierre Vandenhove:
Decisiveness of Stochastic Systems and its Application to Hybrid Models (Full Version). - Zhihua Xia, Qi Gu, Wenhao Zhou, Lizhi Xiong, Jian Weng:
Secure Computation on Additive Shares. - Matias Quintana, Stefano Schiavon, Kwok Wai Tham, Clayton Miller:
Balancing thermal comfort datasets: We GAN, but should we? - Mirsalar Kamari, Oguz Gunes:
Fitting Cyclic Experimental Load-Deformation Data to The Pivot Hysteresis Model Using Genetic Algorithm. - Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion. - Yassine Mouchtak, Faissal El Bouanani:
New Accurate Approximation for Average Error Probability Under κ-μ Shadowed Fading Channel. - Douglas De Rizzo Meneghetti, Reinaldo Augusto da Costa Bianchi:
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks. - Gardave S. Bhumbra:
Quantal synaptic dilution enhances sparse encoding and dropout regularisation in deep networks. - Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
Incomplete Utterance Rewriting as Semantic Segmentation. - Qian Li, Nan Guo, Xiaochun Ye, Dongrui Fan, Zhimin Tang:
Video Face Recognition System: RetinaFace-mnet-faster and Secondary Search. - Mingtao Xia, Sihong Shao, Tom Chou:
Efficient Scaling and Moving Techniques for Spectral Methods in Unbounded Domains. - Prathamesh Saraf, Manan Gupta, Alivelu Manga Parimi:
A Comparative Study Between a Classical and Optimal Controller for a Quadrotor. - Filip De Turck:
Efficient Resource Allocation through Integer Linear Programming: a detailed example. - Trent Kyono, Yao Zhang, Mihaela van der Schaar:
CASTLE: Regularization via Auxiliary Causal Graph Discovery. - Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont:
Position-Based Multiple-Play Bandits with Thompson Sampling. - Archontia C. Giannopoulou, Ken-ichi Kawarabayashi, Stephan Kreutzer, O-joung Kwon:
The canonical directed tree decomposition and its applications to the directed disjoint paths problem. - Min Chen, Alfie Abdul-Rahman, David H. Laidlaw:
The Huge Variable Space in Empirical Studies for Visualization - A Challenge as well as an opportunity for Visualization Psychology. - Xiaoqing Cheng, Wai-Ki Ching, Sini Guo, Tatsuya Akutsu:
Discrimination of attractors with noisy nodes in Boolean networks. - Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. - Rita Borgo, Darren J. Edwards:
The Development of Visualization Psychology Analysis Tools to Account for Trust. - Jakub Fil, Dominique F. Chu:
A thermodynamically consistent chemical spiking neuron capable of autonomous Hebbian learning. - Eoin Delaney, Derek Greene, Mark T. Keane:
Instance-Based Counterfactual Explanations for Time Series Classification. - Md. Zahurul Haque, Md. Rafiqul Islam:
Traffic model of LTE using maximum flow algorithm with binary search technique. - Ahmed Sabbir Arif:
Metrics for Multi-Touch Input Technologies. - Atandra Burman, Jitto Titus, David Gbadebo, Melissa Burman:
ECGDetect: Detecting Ischemia via Deep Learning. - Aaqib Saeed, Victor Ungureanu, Beat Gfeller:
Sense and Learn: Self-Supervision for Omnipresent Sensors. - Joshua Bannister, Andrew Gibbs, David P. Hewett:
Acoustic scattering by impedance screens/cracks with fractal boundary: well-posedness analysis and boundary element approximation. - Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Cédric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby:
Scalable Transfer Learning with Expert Models. - Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, Chen Change Loy:
Texture Memory-Augmented Deep Patch-Based Image Inpainting. - Ishai Rosenberg, Shai Meir, Jonathan Berrebi, Ilay Gordon, Guillaume Sicard, Eli David:
Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability. - Szymon Maksymiuk, Alicja Gosiewska, Przemyslaw Biecek:
Landscape of R packages for eXplainable Artificial Intelligence. - Qianliang Wu, Tong Zhang, Zhen Cui, Jian Yang:
Interest-Behaviour Multiplicative Network for Resource-limited Recommendation. - Tyler J. Shipp, Daniel J. Clouse, Michael J. De Lucia, Metin B. Ahiskali, Kai Steverson, Jonathan M. Mullin, Nathaniel D. Bastian:
Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities. - Efrén Rama-Maneiro, Juan Carlos Vidal, Manuel Lama:
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark. - Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang:
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. - Zeev Nutov:
Approximation algorithms for connectivity augmentation problems. - Paul Gastin, Sayan Mukherjee, B. Srivathsan:
Reachability for Updatable Timed Automata made faster and more effective. - Laurence Illing Midgley:
Deep Reinforcement Learning for Process Synthesis. - Xinyue Zheng, Peng Wang, Qigang Wang, Zhongchao Shi:
Disentangled Neural Architecture Search. - Subhajit Naskar, Amirmohammad Rooshenas, Simeng Sun, Mohit Iyyer, Andrew McCallum:
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models. - Rajiv Movva, Jason Y. Zhao:
Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation. - Kin Ho Lo:
Embedding and generation of indoor climbing routes with variational autoencoder. - Ben Athiwaratkun, Cícero Nogueira dos Santos, Jason Krone, Bing Xiang:
Augmented Natural Language for Generative Sequence Labeling. - Edgar Altszyler, Pablo Brusco, Nikoletta Basiou, John Byrnes, Dimitra Vergyri:
Zero-shot Multi-Domain Dialog State Tracking Using Descriptive Rules. - Mariella Dreissig, Mohamed Hedi Baccour, Tim Schäck, Enkelejda Kasneci:
Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm. - Arijit Mallick, Jörg Stückler, Hendrik P. A. Lensch:
Learning to Adapt Multi-View Stereo by Self-Supervision. - Jae Yong Lee, Jin Woo Jang, Hyung Ju Hwang:
The model reduction of the Vlasov-Poisson-Fokker-Planck system to the Poisson-Nernst-Planck system via the Deep Neural Network Approach. - Liang Zhao, Jingjing Xu, Junyang Lin, Yichang Zhang, Hongxia Yang, Xu Sun:
Graph-based Multi-hop Reasoning for Long Text Generation. - Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Hongjin Qian, Zhanliang Liu, Zhicheng Dou, Ji-Rong Wen:
Pchatbot: A Large-Scale Dataset for Personalized Chatbot. - Xi-An Li, Lei Zhang, Li-Yan Wang, Jian Lu:
Multi-scale Receptive Fields Graph Attention Network for Point Cloud Classification. - Hang Du, Hailin Shi, Dan Zeng, Tao Mei:
The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances. - Siddhartha Mishra, Roberto Molinaro:
Physics Informed Neural Networks for Simulating Radiative Transfer. - Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein:
RecoBERT: A Catalog Language Model for Text-Based Recommendations. - Rohit Rawat:
Virtual Proximity Citation (VCP): A Supervised Deep Learning Method to Relate Uncited Papers On Grounds of Citation Proximity. - Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
A Diagnostic Study of Explainability Techniques for Text Classification. - Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen:
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. - Ananya Gangavarapu, Ellie Daw, Abhishek Singh, Rohan Iyer, Gabriel Harp, Sam Zimmerman, Ramesh Raskar:
Target Privacy Threat Modeling for COVID-19 Exposure Notification Systems. - Akash Sambrekar, El Mehdi Er Raqabi:
A Column Generation based Heuristic for the Tail Assignment Problem. - Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund:
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey. - Lucie Lévêque, Ji Yang, Xiaohan Yang, Pengfei Guo, Kenneth Dasalla, Leida Li, Yingying Wu, Hantao Liu:
Cuid: A new study of perceived image quality and its subjective assessment. - Bernhard Haeupler, Amirbehshad Shahrasbi:
Rate-Distance Tradeoffs for List-Decodable Insertion-Deletion Codes. - Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud:
EvolGAN: Evolutionary Generative Adversarial Networks. - Zheng Zhao, Shay B. Cohen, Bonnie Webber:
Reducing Quantity Hallucinations in Abstractive Summarization. - Susanne Albers, Alexander Eckl:
Explorable Uncertainty in Scheduling with Non-Uniform Testing Times. - Huy L. Nguyen:
A note on differentially private clustering with large additive error. - Halla Sigurthorsdottir, Jérôme Van Zaen, Ricard Delgado-Gonzalo, Mathieu Lemay:
ECG Classification with a Convolutional Recurrent Neural Network. - Sanjay Seshan:
Lightweight assistive technology: A wearable, optical-fiber gesture recognition system. - He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu:
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score. - Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. - Jialin Hong, Diancong Jin, Derui Sheng, Liying Sun:
Numerically asymptotical preservation of the large deviations principles for invariant measures of Langevin equations. - Abhishek Sharma, Maks Ovsjanikov:
Weakly Supervised Deep Functional Map for Shape Matching. - R. N. Buitenhuis, Niranjan Saikumar, S. Hassan HosseinNia:
Frequency-Domain Modelling of Reset Control Systems using an Impulsive Description. - Naiyu Gao, Yanhu Shan, Xin Zhao, Kaiqi Huang:
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation. - Ryoji Tanabe, Hisao Ishibuchi:
A Review of Evolutionary Multi-modal Multi-objective Optimization. - Bolun Wang, Zachary Ferguson, Teseo Schneider, Xin Jiang, Marco Attene, Daniele Panozzo:
A Large Scale Benchmark and an Inclusion-Based Algorithm for Continuous Collision Detection. - Subhash Lakshminarayana, Sondipon Adhikari, Carsten Maple:
Analysis of IoT-Based Load Altering Attacks Against Power Grids Using the Theory of Second-Order Dynamical Systems. - Christel Baier, Florian Funke, Simon Jantsch, Toghrul Karimov, Engel Lefaucheux, Joël Ouaknine, Amaury Pouly, David Purser, Markus A. Whiteland:
Reachability in Dynamical Systems with Rounding. - Yaohua Liu, Risheng Liu:
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning. - Haifeng Li, Zhenqi Cui, Zhiqing Zhu, Li Chen, Jiawei Zhu, Haozhe Huang, Chao Tao:
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification. - Giorgos Vernikos, Katerina Margatina, Alexandra Chronopoulou, Ion Androutsopoulos:
Domain Adversarial Fine-Tuning as an Effective Regularizer. - (Withdrawn) Similarity Detection Pipeline for Crawling a Topic Related Fake News Corpus.
- Ryan Wesslen, Doug Markant, Alireza Karduni, Wenwen Dou:
Using Resource-Rational Analysis to Understand Cognitive Biases inInteractive Data Visualizations. - Lan V. Truong:
Replica Analysis of the Linear Model with Markov or Hidden Markov Signal Priors. - Mehak Maniktala, Christa Cody, Tiffany Barnes, Min Chi:
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. - Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek:
Describing Subjective Experiment Consistency by p-Value P-P Plot. - Yang Liu, Zev Nicolai-Scanio, Zhong-Ping Jiang, Li Jin:
Latency-Robust Control of High-Speed Signal-Free Intersections. - Antonis Maronikolakis, Mark Stevenson, Hinrich Schütze:
Transformers Are Better Than Humans at Identifying Generated Text. - Jianze Li, Konstantin Usevich, Pierre Comon:
Gradient based block coordinate descent algorithms for joint approximate diagonalization of matrices. - Jiujiu Chen, Chunyan Feng, Caili Guo, Xu Zhu:
A Content Driven Resource Allocation Scheme for Video Transmission in Vehicular Networks. - Federico Tavella, Alberto Giaretta, Mauro Conti, Sasitharan Balasubramaniam:
A Machine Learning-based Approach to Detect Threats in Bio-Cyber DNA Storage Systems. - Satoshi Takahashi, Keiko Yamaguchi, Asuka Watanabe:
CAT STREET: Chronicle Archive of Tokyo Street-fashion. - Luca Gemignani, Lucia Romani, Alberto Viscardi:
Bezout-like polynomial equations associated with dual univariate interpolating subdivision schemes. - Adam Chejanovsky, Michael Neunteufel, Ingo Münch, Joachim Schöberl, Patrizio Neff:
A hybrid H1xH(curl) finite element formulation for a planar relaxed micromorphic continuum. - Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, Bharathi Raja Chakravarthi, Juan A. Alonso, Noe Casas, Mihael Arcan:
Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios. - Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang:
Injecting Entity Types into Entity-Guided Text Generation. - André Kempf, Markus Herrmann-Wicklmayr, Steffen Müller:
Robust Model Predictive Longitudinal Position Tracking Control for an Autonomous Vehicle Based on Multiple Models. - Leonard Botha, Thomas Andreas Meyer, Rafael Peñaloza:
The Probabilistic Description Logic BALC. - Lidiya Khalidah binti Khalil, Christian Konrad:
Constructing Large Matchings via Query Access to a Maximal Matching Oracle. - Deepak Alapatt, Pietro Mascagni, Vinkle Srivastav, Nicolas Padoy:
Artificial Intelligence in Surgery: Neural Networks and Deep Learning. - Andreas Dedner, Robert Klöfkorn:
Extendible and Efficient Python Framework for Solving Evolution Equations with Stabilized Discontinuous Galerkin Method. - S. D. Lalitha, K. K. Thyagharajan:
A Study on Lip Localization Techniques used for Lip reading from a Video. - Peilin Zhou, Zhiqi Huang, Fenglin Liu, Yuexian Zou:
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding. - Etienne Perot, Pierre de Tournemire, Davide Nitti, Jonathan Masci, Amos Sironi:
Learning to Detect Objects with a 1 Megapixel Event Camera. - Bernat Coma-Puig, Josep Carmona:
An Iterative Approach based on Explainability to Improve the Learning of Fraud Detection Models. - Yulin Shao, Qi Cao, Soung Chang Liew:
Partially Observable Minimum-Age Scheduling: The Greedy Policy. - Amira A. Elsonbaty, Mahmoud Y. Shams:
The Smart Parking Management System. - Xinyu Crystal Wu, T. S. Eugene Ng:
DCFIT: Initial Trigger-Based PFC Deadlock Detection in the Data Plane. - Jing An, Lexing Ying, Yuhua Zhu:
Why resampling outperforms reweighting for correcting sampling bias. - Mahmoud Y. Shams, Amira A. Elsonbaty, Wael Z. ElSawy:
Arabic Handwritten Character Recognition based on Convolution Neural Networks and Support Vector Machine. - Mihnea-Alexandru Tomita, Mubariz Zaffar, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan:
ConvSequential-SLAM: A Sequence-based, Training-less Visual Place Recognition Technique for Changing Environments. - Mohammed Elbayoumi, Walaa Hamouda, Amr M. Youssef:
Multiple-Association Supporting HTC/MTC in Limited-Backhaul Capacity Ultra-Dense Networks. - Assyr Abdulle, Giacomo Garegnani, Grigorios A. Pavliotis, Andrew M. Stuart, Andrea Zanoni:
Drift Estimation of Multiscale Diffusions Based on Filtered Data. - Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar, Andy Lamperski, Murti V. Salapaka:
Topology Learning in Radial Dynamical Systems with Unreliable Data. - Oliver Markgraf, Chih-Duo Hong, Anthony W. Lin, Muhammad Najib, Daniel Neider:
Parameterized Synthesis with Safety Properties. - Jasmine Kaur, Vinay Kumar:
A complete character recognition and transliteration technique for Devanagari script. - Alessandro Devo, Alberto Dionigi, Gabriele Costante:
Enhancing Continuous Control of Mobile Robots for End-to-End Visual Active Tracking. - Enrico Facca, Michele Benzi:
Fast Iterative Solution of the Optimal Transport Problem on Graphs. - Marcin Pilipczuk, Michal Pilipczuk, Pawel Rzazewski:
Quasi-polynomial-time algorithm for Independent Set in Pt-free and C>t-free graphs via shrinking the space of connecting subgraphs. - Diana C. Roca Arroyo, Josimar E. Chire Saire:
Parameter Experimental Analysis of the Reservoirs Observers using Echo State Network Approach. - Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey:
EIS - a family of activation functions combining Exponential, ISRU, and Softplus. - Zihan Zhang, Xiangyang Ji, Simon S. Du:
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon. - Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov:
Graph Adversarial Networks: Protecting Information against Adversarial Attacks. - Daniel J. Wu, Andrew C. Yang, Vinay U. Prabhu:
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languages. - Amos Beimel, Iftach Haitner, Kobbi Nissim, Uri Stemmer:
On the Round Complexity of the Shuffle Model. - Esteban Wilfredo Vilca Zuñiga, Liang Zhao:
A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions. - Sitan Chen, Adam R. Klivans, Raghu Meka:
Learning Deep ReLU Networks Is Fixed-Parameter Tractable. - Chen Zhao, Changbin Li, Jincheng Li, Feng Chen:
Fair Meta-Learning For Few-Shot Classification. - Ian Malloy:
Zero Knowledge Games. - Anjus George, Arun Ravindran, Matías Mendieta, Hamed Tabkhi:
Mez: A Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge. - Stefan Schwarz:
Recursive CSI Quantization of Time-Correlated MIMO Channels by Deep Learning Classification. - Jacob M. Springer, Bryn Marie Reinstadler, Una-May O'Reilly:
STRATA: Building Robustness with a Simple Method for Generating Black-box Adversarial Attacks for Models of Code. - Jiong Zhu, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra:
Graph Neural Networks with Heterophily. - Michael Axtmann, Sascha Witt, Daniel Ferizovic, Peter Sanders:
Engineering In-place (Shared-memory) Sorting Algorithms. - Shikib Mehri, Mihail Eric, Dilek Hakkani-Tür:
DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue. - Sei Zhen Khong, Lanlan Su:
On the Necessity and Sufficiency of the Zames-Falb Multipliers. - Lanlan Su:
Robust Monotonic Convergent Iterative Learning Control Design: an LMI-based Method. - Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau:
Novelty Search in representational space for sample efficient exploration. - Benjamin Decardi-Nelson, Jinfeng Liu:
Computing robust control invariant sets of constrained nonlinear systems: A graph algorithm approach. - Xuezhe Ma:
Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization. - Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection. - Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A POD-Galerkin reduced order model for a LES filtering approach. - Jan Bouwe van den Berg, Elena Queirolo:
Rigorous validation of a Hopf bifurcation in the Kuramoto-Sivashinsky PDE. - Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar:
Anomaly Detection and Sampling Cost Control via Hierarchical GANs. - Jonathan Smith, Borna Ghotbi, Seungeun Yi, Mahboobeh Parsapoor:
Non-Pharmaceutical Intervention Discovery with Topic Modeling. - Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier:
Visual Pivoting for (Unsupervised) Entity Alignment. - Xiu Ye, Shangyou Zhang:
A Pk+2 polynomial lifting operator on polygons and polyhedrons. - Manuel Beyeler, Gianluca Brero, Benjamin Lubin, Sven Seuken:
Machine Learning-powered Iterative Combinatorial Auctions with Interval Bidding. - Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou:
Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. - Danish Contractor, Shashank Goel, Mausam, Parag Singla:
Joint Spatio-Textual Reasoning for Answering Tourism Questions. - Ruofei Chen, Stephanie Balzer:
Ferrite: A Judgmental Embedding of Session Types in Rust. - Thomas Gebhart, Russell J. Funk:
The Emergence of Higher-Order Structure in Scientific and Technological Knowledge Networks. - Nandan Kulkarni, Christopher Compton, Jooseppi Luna, Mohammad Arif Ul Alam:
Monitoring My Dehydration: A Non-Invasive Dehydration Alert System Using Electrodermal Activity. - Xiaoran Zhang, Michelle Noga, David Glynn Martin, Kumaradevan Punithakumar:
Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter. - Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version). - Nathalie Bertrand, Nicolas Markey, Suman Sadhukhan, Ocan Sankur:
Dynamic network congestion games. - Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Cross-Task Representation Learning for Anatomical Landmark Detection. - Peijun Li, Xu Wang:
An inverse random source problem for the one-dimensional Helmholtz equation with attenuation. - Habib Mostafaei, Mohammad Shojafar, Mauro Conti:
TEL: Low-Latency Failover Traffic Engineering in Data Plane. - Sergio Rajsbaum:
A Distributed Computing Perspective of Unconditionally Secure Information Transmission in Russian Cards Problems. - Amy Rae Fox:
A Psychology of Visualization or (External) Representation? - Yuchen Cui, Qiping Zhang, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox:
The EMPATHIC Framework for Task Learning from Implicit Human Feedback. - Krystal Maughan, Joseph P. Near:
Towards a Measure of Individual Fairness for Deep Learning. - Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Mike Haeger, Haoran Li, Yashar Mehdad, Ves Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta:
Conversational Semantic Parsing. - Andrea Madotto, Samuel Cahyawijaya, Genta Indra Winata, Yan Xu, Zihan Liu, Zhaojiang Lin, Pascale Fung:
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems. - Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang:
Improve Transformer Models with Better Relative Position Embeddings. - Dmitry Zinoviev:
Network Analysis of the 2016 Presidential Campaign Tweets. - Eugene Tam, Shenfei Jiang, Paul Duan, Shawn Meng, Yue Pang, Cayden Huang, Yi Han, Jacke Xie, Yuanjun Cui, Jinsong Yu, Minggui Lu:
Breaking the Memory Wall for AI Chip with a New Dimension. - Juan Cerviño, Harshat Kumar, Alejandro Ribeiro:
Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples. - Mohamed Abdalla, Moustafa Abdalla:
The Grey Hoodie Project: Big Tobacco, Big Tech, and the threat on academic integrity. - Bhagyashri Telsang, Seddik M. Djouadi, Charalambos D. Charalambous:
Numerical Evaluation of Exact Person-by-Person Optimal Nonlinear Control Strategies of the Witsenhausen Counterexample. - Xiaowei Hu, Xi Yin, Kevin Lin, Lijuan Wang, Lei Zhang, Jianfeng Gao, Zicheng Liu:
VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training. - Douglas De Rizzo Meneghetti, Thiago Pedro Donadon Homem, Jonas Henrique Renolfi de Oliveira, Isaac Jesus da Silva, Danilo Hernani Perico, Reinaldo Augusto da Costa Bianchi:
Detecting soccer balls with reduced neural networks: a comparison of multiple architectures under constrained hardware scenarios. - Sajin Sasy, Olga Ohrimenko:
Oblivious Sampling Algorithms for Private Data Analysis. - Mengyuan Lee, Seyyedali Hosseinalipour, Christopher G. Brinton, Guanding Yu, Huaiyu Dai:
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. - Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour:
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. - Brian Lester:
Leader: Prefixing a Length for Faster Word Vector Serialization. - Haosen Wen, Wentao Cai, Mingzhe Du, Louis Jenkins, Benjamin Valpey, Michael L. Scott:
Montage: A General System for Buffered Durably Linearizable Data Structures. - Chenguang Zhao, Xiaorong Hu, Gang Wang:
PDLight: A Deep Reinforcement Learning Traffic Light Control Algorithm with Pressure and Dynamic Light Duration. - Pu Zhao, Sijia Liu, Parikshit Ram, Songtao Lu, Djallel Bouneffouf, Xue Lin:
Learned Fine-Tuner for Incongruous Few-Shot Learning. - Qing Tian, Tal Arbel, James J. Clark:
Deep discriminant analysis for task-dependent compact network search. - Sharan Raja, Rudraksh Tuwani:
Adversarial Attacks Against Deep Learning Systems for ICD-9 Code Assignment. - Chen Li, Yixin Li, Changhao Sun, Hao Chen, Hong Zhang:
A Comprehensive Review for MRF and CRF Approaches in Pathology Image Analysis. - Zhiyuan Zhao, Tao Han, Junyu Gao, Qi Wang, Xuelong Li:
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View. - Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Xiangnan He, Joemon M. Jose, Beibei Kong, Yudong Li:
One Person, One Model, One World: Learning Continual User Representation without Forgetting. - Fredrik Westling, James Patrick Underwood, Mitch Bryson:
Graph-based methods for analyzing orchard tree structure using noisy point cloud data. - Ethan Manilow, Bryan Pardo:
Bespoke Neural Networks for Score-Informed Source Separation. - Alex LaGrassa, Steven Lee, Oliver Kroemer:
Learning Skills to Patch Plans Based on Inaccurate Models. - Mohammad Esmaeili, Aria Nosratinia:
New GCNN-Based Architecture for Semi-Supervised Node Classification. - Yangbin Chen, Yun Ma, Tom Ko, Jianping Wang, Qing Li:
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization. - Yunshu Du, Garrett Warnell, Assefaw Hadish Gebremedhin, Peter Stone, Matthew E. Taylor:
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy. - Jun Fu, Zhibo Chen, Xiaoming Chen, Weiping Li:
Sequential Reinforced 360-Degree Video Adaptive Streaming with Cross-user Attentive Network. - Xiaochen Li, Weiran Liu, Ziyi Chen, Kunzhe Huang, Zhan Qin, Lei Zhang, Kui Ren:
DUMP: A Dummy-Point-Based Framework for Histogram Estimation in Shuffle Model. - Aditya Saraf, Anna R. Karlin, Jamie Morgenstern:
Competition Alleviates Present Bias in Task Completion. - Leonardo Ramos, Bernardo Morales:
SwiftFace: Real-Time Face Detection. - Rabiul Hasan Kabir, Kooktae Lee, Geronimo Macias:
Ergodic Control Strategy for Multi-Agent Environment Exploration. - Ziqi Zhang, Yuanchun Li, Yao Guo, Xiangqun Chen, Yunxin Liu:
Dynamic Slicing for Deep Neural Networks. - Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li:
Double Graph Based Reasoning for Document-level Relation Extraction. - Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation. - Paul Parsons:
How do Visualization Designers Think? Design Cognition as a Core Aspect of Visualization Psychology. - David M. Russinoff:
Formal Verification of Arithmetic RTL: Translating Verilog to C++ to ACL2. 1-15 - Matt Kaufmann, J Strother Moore:
Iteration in ACL2. 16-31 - Sol Swords:
New Rewriter Features in FGL. 32-46 - Rob Sumners:
Computing and Proving Well-founded Orderings through Finite Abstractions. 47-60 - Mertcan Temel:
RP-Rewriter: An Optimized Rewriter for Large Terms in ACL2. 61-74 - Ruben Gamboa, John R. Cowles, Woodrow Gamboa:
Quadratic Extensions in ACL2. 75-86 - Sol Swords:
Generating Mutually Inductive Theorems from Concise Descriptions. 95-107 - Kanat Tangwongsan, Martin Hirzel, Scott Schneider:
In-Order Sliding-Window Aggregation in Worst-Case Constant Time. - Alessandro Coglio:
Ethereum's Recursive Length Prefix in ACL2. 108-124 - Justin H. Le, Andrew R. Teel:
Hybrid Heavy-Ball Systems: Reset Methods for Optimization with Uncertainty. - Alessandro Coglio, Stephen J. Westfold:
Isomorphic Data Type Transformations. 125-141 - Kevin-CY Tsai, Kai-En Yang, Hung-Hao Shen, Mike Jiang, Fammy Tsai, Chung-An Wang, Yiju Ting, Jason Yeh, Citi Lai:
Fast Design Space Adaptation with Deep Reinforcement Learning for Analog Circuit Sizing. - Xing Wang, Alexander Vinel:
Cross Learning in Deep Q-Networks. - Ganesh Samarth, Sheetal Ojha, Nikhil Pareek:
Knowledge Fusion Transformers for Video Action Recognition. - Debopriya Mukherjee, Thanh Tran:
A Shape calculus approach for time harmonic solid-fluid interaction problem in stochastic domains. - Vrushabh Zinage, Efstathios Bakolas:
Far-Field Minimum-Fuel Spacecraft Rendezvous using Koopman Operator and 𝓁2/𝓁1 Optimization. - S. D. Lalitha, K. K. Thyagharajan:
Micro-Facial Expression Recognition in Video Based on Optimal Convolutional Neural Network (MFEOCNN) Algorithm. - Fabrizio Patuzzo:
A comparison of classical and variational autoencoders for anomaly detection. - Weiran Yao, Sean Qian:
From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data. - Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model. - Asif Salim, S. Sumitra:
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory. - Qingbei Guo, Xiao-Jun Wu, Josef Kittler, Zhiquan Feng:
Self-grouping Convolutional Neural Networks. - Renjie Wu, Eamonn J. Keogh:
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress. - Farid Bozorgnia, Sonia Seyed Allaei:
Numerical approximations of chromatographic models. - Yinfei Yang, Ning Jin, Kuo Lin, Mandy Guo, Daniel Cer:
Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation. - Dinghan Shen, Mingzhi Zheng, Yelong Shen, Yanru Qu, Weizhu Chen:
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation. - Ester Livshits, Benny Kimelfeld:
The Shapley Value of Inconsistency Measures for Functional Dependencies. - Nofar Carmeli, Martin Grohe, Benny Kimelfeld, Ester Livshits, Muhammad Tibi:
Database Repairing with Soft Functional Dependencies. - Laura Dörr, Felix Brandt, Martin Pouls, Alexander Naumann:
An Image Processing Pipeline for Automated Packaging Structure Recognition. - Yanlin Li, Shi An, Ruisheng Zhang:
EEMC: Embedding Enhanced Multi-tag Classification. - Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han:
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. - Katharina Eggensperger, Kai Haase, Philipp Müller, Marius Lindauer, Frank Hutter:
Neural Model-based Optimization with Right-Censored Observations. - Ting-Yun Chang, Chi-Jen Lu:
TinyGAN: Distilling BigGAN for Conditional Image Generation. - Gaurav Arora, Chirag Jain, Manas Chaturvedi, Krupal Modi:
HINT3: Raising the bar for Intent Detection in the Wild. - Theban Stanley, Nihar Vanjara, Yanxin Pan, Ekaterina Pirogova, Swagata Chakraborty, Abon Chaudhuri:
SIR: Similar Image Retrieval for Product Search in E-Commerce. - Saurabh Gupta, Arun Balaji Buduru, Ponnurangam Kumaraguru:
imdpGAN: Generating Private and Specific Data with Generative Adversarial Networks. - Lorenzo Botti, Daniele Antonio Di Pietro:
p-Multilevel preconditioners for HHO discretizations of the Stokes equations with static condensation. - Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong:
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. - Jukka Riekki, Aarne Mämmelä:
Research and Education Towards Smart and Sustainable World. - M. Usman Maqbool Bhutta, Manohar Kuse, Rui Fan, Yanan Liu, Ming Liu:
Loop-box: Multi-Agent Direct SLAM Triggered by Single Loop Closure for Large-Scale Mapping. - Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm:
Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary. - Saurabh Gupta, Siddhant Bhambri, Karan Dhingra, Arun Balaji Buduru, Ponnurangam Kumaraguru:
Multi-objective Reinforcement Learning based approach for User-Centric Power Optimization in Smart Home Environments. - Maayan Shuvi, Noa Fish, Kfir Aberman, Ariel Shamir, Daniel Cohen-Or:
Neural Alignment for Face De-pixelization. - Inna Vogel, Meghana Meghana:
Fake News Spreader Detection on Twitter using Character N-Grams. Notebook for PAN at CLEF 2020. - Muhammad Numair Mansur, Benjamin Mariano, Maria Christakis, Jorge A. Navas, Valentin Wüstholz:
Automatically Tailoring Static Analysis to Custom Usage Scenarios. - Wenjia Xu, Jiuniu Wang, Yang Wang, Guangluan Xu, Wei Dai, Yirong Wu:
Where is the Model Looking At?-Concentrate and Explain the Network Attention. - Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
Online Trainable Wireless Link Quality Prediction System using Camera Imagery. - Israr Ali, Syed Hasan Adil, Mansoor Ebrahim:
Intrusion Detection Framework for SQL Injection. - Israr Ali, Aarij Mahmood Hussaan, Syed Hasan Adil:
An Study of The Role of Software Project Manger in the Outcome of the Project. - Dario Garcia-Gasulla, Atia Cortés, Sergio Álvarez-Napagao, Ulises Cortés:
Signs for Ethical AI: A Route Towards Transparency. - Igor Furtat, Pavel A. Gushchin:
Sampled-data in Space Control of Scalar Semilinear Parabolic and Hyperbolic Systems. - Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
MAB-based Client Selection for Federated Learning with Uncertain Resources in Mobile Networks. - Sachihiro Youoku, Yuushi Toyoda, Takahisa Yamamoto, Junya Saito, Ryosuke Kawamura, Xiaoyu Mi, Kentaro Murase:
Multi-term and Multi-task Affect Analysis in the Wild. - Kawin Ethayarajh, Dan Jurafsky:
Utility is in the Eye of the User: A Critique of NLP Leaderboards. - Ferdiant Joshua Muis, Ayu Purwarianti:
Sequence-to-Sequence Learning for Indonesian Automatic Question Generator. - Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu:
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. - Shin-Ichiro Ei, Hiroyuki Ochiai, Yoshitaro Tanaka:
Method of fundamental solutions for Neumann problems of the modified Helmholtz equation in disk domains. - Ben Day, Catalina Cangea, Arian R. Jamasb, Pietro Liò:
Message Passing Neural Processes. - Xin Tian, Ke Xu, Xin Yang, Baocai Yin, Rynson W. H. Lau:
Weakly-supervised Salient Instance Detection. - Chen He, Xie Xie, Xiaoya Li, Kun Yang, Z. Jane Wang:
Weighted Sum-Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Cell MU-MIMO Communications. - Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Utterance-level Dialogue Understanding: An Empirical Study. - Christie L. Alappat, Jan Laukemann, Thomas Gruber, Georg Hager, Gerhard Wellein, Nils Meyer, Tilo Wettig:
Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX. - Jacopo Amidei:
Aligning Intraobserver Agreement by Transitivity. - Shaza Zeitouni, Ghada Dessouky, Ahmad-Reza Sadeghi:
SoK: On the Security Challenges and Risks of Multi-Tenant FPGAs in the Cloud. - Stefano Nardean, Massimiliano Ferronato, Ahmad S. Abushaikha:
A novel block non-symmetric preconditioner for mixed-hybrid finite-element-based flow simulations. - Holger Klapperich, Alarith Uhde, Marc Hassenzahl:
Designing everyday automation with well-being in mind. - Syed Muhammad Asad Zaidi, Marvin Manalastas, Hasan Farooq, Ali Imran:
Mobility Management in Emerging Ultra-Dense Cellular Networks: A Survey, Outlook, and Future Research Directions. - Shahabodin Khadivi Zand:
Towards Intelligent Risk-based Customer Segmentation in Banking. - Xinquan Zhou, Yanhong Leng:
Residual acoustic echo suppression based on efficient multi-task convolutional neural network. - Hichame Yessou, Gencer Sumbul, Begüm Demir:
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification. - Diogo Pernes, Jaime S. Cardoso:
Tackling unsupervised multi-source domain adaptation with optimism and consistency. - Cristian Cioflan, Radu Timofte:
MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search. - Harshdeep Singh, Nicholas McCarthy, Qurrat Ul Ain, Jeremiah Hayes:
ChemoVerse: Manifold traversal of latent spaces for novel molecule discovery. - Kishen N. Gowda, Aditya Lonkar, Fahad Panolan, Vraj Patel, Saket Saurabh:
Improved FPT Algorithms for Deletion to Forest-like Structures. - Shivaank Agarwal, Ravindra Gudi, Paresh Saxena:
One-Shot learning based classification for segregation of plastic waste. - Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti:
Beneficial Perturbation Network for designing general adaptive artificial intelligence systems. - Jinting Wu, Yujia Zhang, Xiaoguang Zhao:
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition. - Xiancheng Li, Luca Verginer, Massimo Riccaboni, Pietro Panzarasa:
A network approach to expertise retrieval based on path similarity and credit allocation. - Toby Howison, Simon Hauser, Josie Hughes, Fumiya Iida:
Reality-assisted evolution of soft robots through large-scale physical experimentation: a review. - Christina Heinze-Deml, Diane Bouchacourt:
Think before you act: A simple baseline for compositional generalization. - YuSheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun:
Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models. - Xuemeng Hu, Rui Wang, Deyu Zhou, Yuxuan Xiong:
Neural Topic Modeling with Cycle-Consistent Adversarial Training. - Deyu Zhou, Xuemeng Hu, Rui Wang:
Neural Topic Modeling by Incorporating Document Relationship Graph. - Ferdi Kara:
Wireless Powered Cooperative Relaying Systems with Non-orthogonal Multiple Access. - Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli:
Identification of Probability weighted ARX models with arbitrary domains. - Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin:
What if Neural Networks had SVDs? - Neetu Sharma, Rajeev Anand Sahu, Vishal Saraswat, Joaquín García-Alfaro:
Anonymous proof-of-asset transactions using designated blind signatures. - Ferdi Kara:
On the Outage Performance of SWIPT-NOMA-CRS with imperfect SIC and CSI. - Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. - Nuobei Shi, Qin Zeng, Raymond Lee:
The design and implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning. - Michael Joswig, Marek Kaluba, Lukas Ruff:
Geometric Disentanglement by Random Convex Polytopes. - Yeachan Park, Myeongho Jeon, Junho Lee, Myungjoo Kang:
MARA-Net: Single Image Deraining Network with Multi-level connection and Adaptive Regional Attention. - Mounia Bouabdellah, Faissal El Bouanani:
A PHY Layer Security of a Jamming-Based Underlay Cognitive Hybrid Satellite-Terrestrial Network. - Kary Främling:
Explainable AI without Interpretable Model. - Moran Feldman, Christopher Harshaw, Amin Karbasi:
Simultaneous Greedys: A Swiss Army Knife for Constrained Submodular Maximization. - Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch:
Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations. - Hariharan Narayanan, Piyush Srivastava:
On the mixing time of coordinate Hit-and-Run. - Sk Aziz Ali, Kerem Kahraman, Christian Theobalt, Didier Stricker, Vladislav Golyanik:
Fast Gravitational Approach for Rigid Point Set Registration with Ordinary Differential Equations. - Tin Tironsakkul, Manuel Maarek, Andrea Eross, Mike Just:
Tracking Mixed Bitcoins. - Spencer Smith, Jacques Carette:
Long-term Productivity for Long-term Impact. - Liyi Zhou, Kaihua Qin, Christof Ferreira Torres, Duc Viet Le, Arthur Gervais:
High-Frequency Trading on Decentralized On-Chain Exchanges. - Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Realistic Image Normalization for Multi-Domain Segmentation. - (Withdrawn) Machine-Learning Approach to Analyze the Status of Forklift Vehicles with Irregular Movement in a Shipyard.
- Peter Fettke, Wolfgang Reisig:
Modelling service-oriented systems and cloud services with Heraklit. - Hans-Joachim Böckenhauer, Elisabet Burjons, Juraj Hromkovic, Henri Lotze, Peter Rossmanith:
Online Simple Knapsack with Reservation Costs. - Bekir Berker Türker, Resul Tugay, Sule Ögüdücü, Ipek Kizil:
Hotel Recommendation System Based on User Profiles and Collaborative Filtering. - Thomas L. Griffiths:
Understanding Human Intelligence through Human Limitations. - Ruichen Li, Jingwen Hu, Shuai Guo, Jinming Zhao:
MUSE2020 challenge report. - Shonosuke Harada, Hisashi Kashima:
GraphITE: Estimating Individual Effects of Graph-structured Treatments. - Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli:
Estimation of Switched Markov Polynomial NARX models. - Jonathan Davies, Rob Procter:
Online platforms of public participation - a deliberative democracy or a delusion? - Alexander Mathiasen, Frederik Hvilshøj:
Fast Fréchet Inception Distance. - Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard:
Attentional Feature Fusion. - Vu D. Tran, Minh Le Nguyen, Ken Satoh:
Building Legal Case Retrieval Systems with Lexical Matching and Summarization using A Pre-Trained Phrase Scoring Model. - Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection. - Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
Task-Based Analog-to-Digital Converters. - Daniel Sánchez, Weiwei Wan, Keisuke Koyama, Kensuke Harada:
Four-Arm Collaboration: Two Dual-Arm Robots Work Together to Maneuver Tethered Tools. - Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Alignment Approximation for Process Trees. - Min Qian, Yan-Fu Li:
Weakly Supervised-Based Oversampling for High Imbalance and High Dimensionality Data Classification. - Vihang Prakash Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter:
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. - Charles Welch, Rada Mihalcea, Jonathan K. Kummerfeld:
Improving Low Compute Language Modeling with In-Domain Embedding Initialisation. - Jaehoon Koo, Diego Klabjan, Jean Utke:
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples. - Yutong Bai, Angtian Wang, Adam Kortylewski, Alan L. Yuille:
CoKe: Localized Contrastive Learning for Robust Keypoint Detection. - Pawan Kumar, Srikanta Bedathur:
A Survey on Semantic Parsing from the perspective of Compositionality. - Emanuel Ben Baruch, Tal Ridnik, Nadav Zamir, Asaf Noy, Itamar Friedman, Matan Protter, Lihi Zelnik-Manor:
Asymmetric Loss For Multi-Label Classification. - Fahad Saeed:
Communication Lower-Bounds for Distributed-Memory Computations for Mass Spectrometry based Omics Data. - Ethan C. Chau, Lucy H. Lin, Noah A. Smith:
Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank. - Xuebin Ren, Chia-Mu Yu, Wei Yu, Xinyu Yang, Jun Zhao, Shusen Yang:
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data. - David Calhas, Rui Henriques:
EEG to fMRI Synthesis: Is Deep Learning a candidate? - Iason-Iraklis Avramidis, Florin Capitanescu, Geert Deconinck:
A Comprehensive Multi-Period Optimal Power Flow Framework for Smart LV Networks. - Qimin Liu, Fang Liu:
Selective Cascade of Residual ExtraTrees. - Çagri Gökçe, Ogulcan Özdemir, Ahmet Alp Kindiroglu, Lale Akarun:
Score-level Multi Cue Fusion for Sign Language Recognition. - Zhaonan Dong, Lorenzo Mascotto, Oliver J. Sutton:
Residual-based a posteriori error estimates for hp-discontinuous Galerkin discretisations of the biharmonic problem. - Jessie James P. Suarez, Prospero C. Naval Jr.:
A Survey on Deep Learning Techniques for Video Anomaly Detection. - Youssef Mroueh, Mattia Rigotti:
Unbalanced Sobolev Descent. - Seyyed Rashid Khazeiynasab, Junjian Qi:
Resilience Analysis and Cascading FailureModeling of Power Systems under Extreme Temperatures. - Eric Sihite, Alireza Ramezani:
Enforcing nonholonomic constraints in Aerobat, a roosting flapping wing model. - Akin Caliskan, Armin Mustafa, Evren Imre, Adrian Hilton:
Multi-View Consistency Loss for Improved Single-Image 3D Reconstruction of Clothed People. - Ludovic Roux, Alexandre Gouaillard:
Performance of AV1 Real-Time Mode. - Siqi Sun, Zhe Gan, Yu Cheng, Yuwei Fang, Shuohang Wang, Jingjing Liu:
Contrastive Distillation on Intermediate Representations for Language Model Compression. - Charu Sharma, Manohar Kaul:
Self-Supervised Few-Shot Learning on Point Clouds. - Niclas Boehmer, Klaus Heeger:
A Fine-Grained View on Stable Many-To-One Matching Problems with Lower and Upper Quotas. - Qiugang Lu, Ranjeet Kumar, Victor M. Zavala:
MPC Controller Tuning using Bayesian Optimization Techniques. - Joris Guérin, Anne Magály de Paula Canuto, Luiz Marcos Garcia Gonçalves:
Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering. - Max Olan Smith, Thomas Anthony, Yongzhao Wang, Michael P. Wellman:
Learning to Play against Any Mixture of Opponents. - Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri:
Policies for Multi-Agency Recovery of Physical Infrastructure After Disasters. - Surabhi S. Nath:
Hear her Fear: Data Sonification for Sensitizing Society on Crime Against Women in India. - Klemens Esterle, Luis Gressenbuch, Alois C. Knoll:
Modeling and Testing Multi-Agent Traffic Rules within Interactive Behavior Planning. - Luka Stopar, Luka Bradesko, Tobias Jacobs, Azur Kurbasic, Miha Cimperman:
Large-Scale Cargo Distribution. - Robert Bredereck, Klaus Heeger, Dusan Knop, Rolf Niedermeier:
Multidimensional Stable Roommates with Master List. - Flavio Amadeu Bernardini, Márcia Terra da Silva, Jair Minoro Abe, Luiz Antônio de Lima, Kanstantsin Miatliuk:
Analysis of the displacement of terrestrial mobile robots in corridors using paraconsistent annotated evidential logic eτ. - Anastasios Angelopoulos, Stephen Bates, Jitendra Malik, Michael I. Jordan:
Uncertainty Sets for Image Classifiers using Conformal Prediction. - Emmanuel Dufourq, Bruce A. Bassett:
Deep Evolution for Facial Emotion Recognition. - Andrew G. Allmon, J. S. Marron, Michael G. Hudgens:
diproperm: An R Package for the DiProPerm Test. - Filippo Maria Castelli, Matteo Roffilli, Giacomo Mazzamuto, Irene Costantini, Ludovico Silvestri, Francesco Saverio Pavone:
Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data. - Panagiota Birmpa, Markos A. Katsoulakis:
Uncertainty quantification for Markov Random Fields. - Giovanni Calice, Carlo Sala, Daniele Tantari:
Contingent Convertible Bonds in Financial Networks. - Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan:
Image Reconstruction of Static and Dynamic Scenes through Anisoplanatic Turbulence. - Dai Feng, Richard Baumgartner:
Random Forest (RF) Kernel for Regression, Classification and Survival. - Muhammad Usman Ghani, W. Clem Karl:
Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium. - Daniel O'Malley, John K. Golden:
Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations. - Rafia Malik, Mai Vu:
Energy-efficient Wireless Charging and Computation Offloading In MEC Systems. - Konstantin T. Matchev, Prasanth Shyamsundar:
InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification. - Siqi Sun:
Unsupervised and Supervised Structure Learning for Protein Contact Prediction. - Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui:
Neural Architecture Search For Keyword Spotting. - Hidekazu Yoshioka, Motoh Tsujimura, Kunihiko Hamagami, Yuta Yaegashi, Yumi Yoshioka:
HJB and Fokker-Planck equations for river environmental management based on stochastic impulse control with discrete and random observation. - Daniel A. Lazar, Ramtin Pedarsani:
Optimal Tolling for Multitype Mixed Autonomous Traffic Networks. - Martin A. Wortman, Ernest Kee, Paul Nelson:
Characterizing the Probability Law on Time Until Core Damage With PRA. - Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, Dietmar Frey, Vince Istvan Madai:
On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking. - Jesse Geneson, Ruth Haas, Leslie Hogben:
Reconfiguration graphs of zero forcing sets. - Ahsan Mehmood, Waqas Aman, Muhammad Mahboob Ur Rahman, Muhammad Ali Imran, Qammer H. Abbasi:
Preventing Identity Attacks in RFID Backscatter Communication Systems: A Physical-Layer Approach. - Jean-Christophe Godin, Olivier Togni:
Choosability with Separation of Cycles and Outerplanar Graphs. - Leyuan Wang, Kunbo Zhang, Min Ren, Yunlong Wang, Zhenan Sun:
Recognition Oriented Iris Image Quality Assessment in the Feature Space. - Takahiro Goto, Quoc-Hoan Tran, Kohei Nakajima:
Universal Approximation Property of Quantum Feature Map. - Lubos Brim, Samuel Pastva, David Safránek, Eva Smijakova:
Parallel One-Step Control of Parametrised Boolean Networks. - Christoph Angermann, Markus Haltmeier:
PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space. - Tomoki Yoshida, Kazutoshi Akita, Muhammad Haris, Norimichi Ukita:
Image Super-Resolution using Explicit Perceptual Loss. - Aleksandr Cariow, Galina Cariowa:
An algorithm for dividing quaternions. - Zhuang Zhao, Yibing Chen, Jianxian Qiu:
A hybrid WENO method with modified ghost fluid method for compressible two-medium flow problems. - Seung-Hwan Baek, Hayato Ikoma, Daniel S. Jeon, Yuqi Li, Wolfgang Heidrich, Gordon Wetzstein, Min H. Kim:
End-to-End Hyperspectral-Depth Imaging with Learned Diffractive Optics. - Athanasios Andrikopoulos, Ioannis Gounaridis:
On Stoltenberg's quasi-uniform completion. - Tijin Yan, Hongwei Zhang, Zirui Li, Yuanqing Xia:
Stochastic Graph Recurrent Neural Network. - Jeroen Zegers, Hugo Van hamme:
Analysis of memory in LSTM-RNNs for source separation. - Ignacio García-Marco, Kolja Knauer:
On sensitivity in bipartite Cayley graphs. - René Carmona, Kenza Hamidouche, Mathieu Laurière, Zongjun Tan:
Linear-Quadratic Zero-Sum Mean-Field Type Games: Optimality Conditions and Policy Optimization. - Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King:
Quality-aware semi-supervised learning for CMR segmentation. - Guilherme G. P. Freitas Pires, Mário A. T. Figueiredo:
Variational Mixture of Normalizing Flows. - Logan E. Beaver, Michael R. Dorothy, Christopher M. Kroninger, Andreas A. Malikopoulos:
Energy-Optimal Motion Planning for Agents: Barycentric Motion and Collision Avoidance Constraints. - Yuval Oren, Saharon Rosset:
Semi-Supervised Empirical Risk Minimization: When can unlabeled data improve prediction. - Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj:
Operational vs Convolutional Neural Networks for Image Denoising. - Sergi Ramos-Calderer, Emanuele Bellini, José I. Latorre, Marc Manzano, Víctor Mateu:
Quantum Search for Scaled Hash Function Preimages. - Carlos G. Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jérôme Waldispühl:
VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA. - Youcef Dahmani, Maâmar El-Amine Hamri, Nesrine Driouche:
Closure under Coupling of Cellular-DEVS for the Optimization of Memory Resource: Wildfire Spread Case Study. - Utkarsh Sarawgi, Wazeer Zulfikar, Nouran Soliman, Pattie Maes:
Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity. - Jérémie Messud, Patrice Guillaume, Gilles Lambaré:
On velocity and migration structural uncertainties: A new approach using non-linear slope tomography. - Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan:
WaveGrad: Estimating Gradients for Waveform Generation. - Markus Kühbach, Matthew Kasemer, Baptiste Gault, Andrew Breen:
On Open and Strong-Scaling Tools for Atom Probe Crystallography: High-Throughput Methods for Indexing Crystal Structure and Orientation. - Yang Zheng, Na Li:
Non-asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories. - Forrest C. Sheldon, Francesco Caravelli, Carleton Coffrin:
Fully analog memristive circuits for optimization tasks: a comparison. - Matthew G. Finley, Tyler Bell:
Depth Range Reduction for 3D Range Geometry Compression. - Wei Xia, John H. L. Hansen:
Speaker Representation Learning using Global Context Guided Channel and Time-Frequency Transformations. - Fabio Giardina, L. Mahadevan:
Models of benthic bipedalism. - Masahiro Takimoto:
An Approximation Scheme for Multivariate Information based on Partial Information Decomposition. - Alfonso Landeros, Oscar Hernan Madrid Padilla, Hua Zhou, Kenneth Lange:
Extensions to the Proximal Distance of Method of Constrained Optimization. - Haichao Cao:
Breast mass detection in digital mammography based on anchor-free architecture. - Olaide Ayodeji Agbolade:
Radio Frequency Speed Bumps for Near-Zero Speed Zone Control in Nigeria. - Moritz Knolle, Georgios Kaissis, Friederike Jungmann, Sebastian Ziegelmayer, Daniel Sasse, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren:
Efficient, high-performance pancreatic segmentation using multi-scale feature extraction. - Lufan Chang, Wenjing Zhuang, Richeng Wu, Sai Feng, Hao Liu, Jing Yu, Jia Ding, Ziteng Wang, Jiaqi Zhang:
DARWIN: A Highly Flexible Platform for Imaging Research in Radiology. - Jan Hubicka:
Big Ramsey degrees using parameter spaces. - Sajjad Abbasi, Mohsen Hajabdollahi, Pejman Khadivi, Nader Karimi, Roshanak Roshandel, Shahram Shirani, Shadrokh Samavi:
Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation. - Peter Benner, Jan Heiland:
Space and Chaos-Expansion Galerkin POD Low-order Discretization of PDEs for Uncertainty Quantification. - Hadeel Elayan, Andrew W. Eckford, Raviraj Adve:
Information Rates of Controlled Protein Interactions Using Terahertz Communication. - Simon Jaxy:
Teaching a Machine to Diagnose a Heart Disease; Beginning from digitizing scanned ECGs to detecting the Brugada Syndrome (BrS). - Ziyi Wang, Oswin So, Keuntaek Lee, Camilo A. Duarte, Evangelos A. Theodorou:
Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search. - Juozas Vaicenavicius, Tilo Wiklund, Auste Grigaite, Ignas Vysniauskas, Steven Keen:
Self-driving car safety quantification via component-level analysis. - Harishwar Reddy Bapathu, Siddhartha S. Borkotoky:
The LoRa Modulation Over Rapidly-Varying Channels: Are the Higher Spreading Factors Necessarily More Robust? - Faezeh Nejati Hatamian, AmirAbbas Davari, Andreas Maier:
The Effect of Various Strengths of Noises and Data Augmentations on Classification of Short Single-Lead ECG Signals Using Deep Neural Networks. - Christian Bayer, Eric Joseph Hall, Raúl Tempone:
Weak error rates for option pricing under the rough Bergomi model. - Sevgi Zubyede Gurbuz, Ali Cafer Gürbüz, Evie Malaia, Darrin J. Griffin, Chris S. Crawford, Mohammad Mahbubur Rahman, Emre Kurtoglu, Ridvan Aksu, Trevor Macks, Robiulhossain Mdrafi:
American Sign Language Recognition Using RF Sensing. - Wasifur Rahman, Sangwu Lee, Md. Saiful Islam, Abdullah Al Mamun, Victor Antony, Harshil Ratnu, Mohammad Rafayet Ali, Ehsan Hoque:
Detecting Parkinson's Disease from Speech-task in an accessible and interpretable manner. - Prasanna Date:
Quantum Discriminator for Binary Classification. - Anatoly Dymarsky, Alfred Shapere:
Quantum stabilizer codes, lattices, and CFTs. - Christopher Strohmeier, Deanna Needell:
Clustering of Nonnegative Data and an Application to Matrix Completion. - Shen Wang, Ahmad F. Taha, Ahmed A. Abokifa:
How Effective is Model Predictive Control in Real-Time Water Quality Regulation? State-Space Modeling and Scalable Control. - Guillermo Cámbara, Jordi Luque, Mireia Farrús:
Convolutional Speech Recognition with Pitch and Voice Quality Features. - Zixiang Zhao, Shuang Xu, Rui Feng, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method. - Zhiqiang Ma, Grace Bang, Chong Wang, Xiaomo Liu:
Towards Earnings Call and Stock Price Movement. - Chao Fan, Xiangqi Jiang, Ali Mostafavi:
Adaptive Reinforcement Learning Model for Simulation of Urban Mobility during Crises. - Matthew Dowling, Yuan Zhao, Il Memming Park:
Non-parametric generalized linear model. - Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding:
Real Image Super Resolution Via Heterogeneous Model using GP-NAS. - Ke Tan, Buye Xu, Anurag Kumar, Eliya Nachmani, Yossi Adi:
SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with Interaural Cue Preservation. - Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael J. L. Townshend, Ron O. Dror:
Learning from Protein Structure with Geometric Vector Perceptrons. - Wenbo Hu, Menghan Xia, Chi-Wing Fu, Tien-Tsin Wong:
Mononizing Binocular Videos. - Bin Huang, Yuanyang Du, Shuai Zhang, Wenfei Li, Jun Wang, Jian Zhang:
Computational prediction of RNA tertiary structures using machine learning methods. - Jing-Xuan Zhang, Li-Juan Liu, Yan-Nian Chen, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling, Li-Rong Dai:
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer. - Sharath M. Shankaranarayana:
Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report. - Marcell Blahota, István Blahota, Attila Szolnoki:
Equal partners do better in defensive alliances. - Lan Liu, Yi Ding, Jiayi Li, Chunsen Liu, Peng Zhou:
Ultrafast non-volatile flash memory based on van der Waals heterostructures. - Malik Tiomoko Ali, Romain Couillet, Hafiz Tiomoko:
Large Dimensional Analysis and Improvement of Multi Task Learning. - Marvin Lerousseau, Eric Deutsch, Nikos Paragios:
Multimodal brain tumor classification. - Peyman Tahghighi, Reza A. Zoroofi, Sareh Saffi, Alireza Ramezani:
Heightmap Reconstruction of Macula on Color Fundus Images Using Conditional Generative Adversarial Networks. - Shunbo Zhang, Shun Zhang, Feifei Gao, Jianpeng Ma, Octavia A. Dobre:
Deep Learning Optimized Sparse Antenna Activation for Reconfigurable Intelligent Surface Assisted Communication. - Yindi Yang, Shun Zhang, Feifei Gao, Chao Xu, Jianpeng Ma, Octavia A. Dobre:
Deep Learning Based Antenna Selection for Channel Extrapolation in FDD Massive MIMO. - Jose David Bermudez Castro, Ricardo Rei, Jose E. Ruiz, Pedro Achanccaray Diaz, Smith W. Arauco Canchumuni, Cristian E. Muñoz Villalobos, Felipe Borges Coelho, Leonardo Forero Mendoza, Marco Aurélio Cavalcanti Pacheco:
A free web service for fast COVID-19 classification of chest X-Ray images. - Brandon Reyes, Amanda A. Howard, Paris Perdikaris, Alexandre M. Tartakovsky:
Learning Unknown Physics of non-Newtonian Fluids. - Michael F. Herbst, Antoine Levitt:
Black-box inhomogeneous preconditioning for self-consistent field iterations in density functional theory. - Zihao Wang, Hervé Delingette:
Quasi-symplectic Langevin Variational Autoencoder. - Yongge Wang:
Automated Market Makers for Decentralized Finance (DeFi). - Quingo: A Programming Framework for Heterogeneous Quantum-Classical Computing with NISQ Features.
- Tom Peetz, Sebastian Vogt, Martin Zaefferer, Thomas Bartz-Beielstein:
Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools. - Vishesh Jain, Ashwin Sah, Mehtaab Sawhney:
On the smoothed analysis of the smallest singular value with discrete noise. - José A. Iglesias:
Symmetry and scaling limits for matching of implicit surfaces based on thin shell energies. - Mikael Escobar-Bach, Olivier Goudet:
On the study of the Beran estimator for generalized censoring indicators. - Marco F. Huber:
Bayesian Perceptron: Towards fully Bayesian Neural Networks. - Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. - Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro:
Model-Free Design of Control Systems over Wireless Fading Channels. - Chun-Chieh Chang, Chieh-Chi Kao, Ming Sun, Chao Wang:
Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging. - Jiawei Chen, Xu Tan, Jian Luan, Tao Qin, Tie-Yan Liu:
HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis. - Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu:
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency. - Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang:
Quantum Long Short-Term Memory. - John Mitros, Arjun Pakrashi, Brian Mac Namee:
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. - Dimitris Perdios, Manuel Vonlanthen, Florian Martinez, Marcel Arditi, Jean-Philippe Thiran:
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking. - Amirhossein Hajavi, Ali Etemad:
Knowing What to Listen to: Early Attention for Deep Speech Representation Learning. - Stavros Efthymiou, Sergi Ramos-Calderer, Carlos Bravo-Prieto, Adrián Pérez-Salinas, Diego García-Martín, Artur García-Sáez, José I. Latorre, Stefano Carrazza:
Qibo: a framework for quantum simulation with hardware acceleration. - Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Federated Learning for Breast Density Classification: A Real-World Implementation. - Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models. - Nina Montaña Brown, Yunguan Fu, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alex Grimwood, Zhe Min, Ester Bonmati, Tom Vercauteren, Matthew J. Clarkson, Yipeng Hu:
Introduction to Medical Image Registration with DeepReg, Between Old and New. - Ashutosh Pandey, DeLiang Wang:
Dense CNN with Self-Attention for Time-Domain Speech Enhancement. - Hassan Hmedi, Ari Arapostathis, Guodong Pang:
System-wide safety staffing and stabilizability of large-scale parallel server networks. - Yunong Chen, Andrew Belmonte, Christopher Griffin:
Imitation of Success Leads to Cost of Living Mediated Fairness in the Ultimatum Game. - Casey Duckering, Jonathan M. Baker, David I. Schuster, Frederic T. Chong:
Virtualized Logical Qubits: A 2.5D Architecture for Error-Corrected Quantum Computing. - David R. Wood:
Nonrepetitive graph colouring. - Yining Wang, Yi Chen, Ethan X. Fang, Zhaoran Wang, Runze Li:
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection. - Thien Huynh-The, Van-Sang Doan, Cam-Hao Hua, Quoc-Viet Pham, Dong-Seong Kim:
Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment. - Van-Sang Doan, Thien Huynh-The, Cam-Hao Hua, Quoc-Viet Pham, Dong-Seong Kim:
Learning Constellation Map with Deep CNN for Accurate Modulation Recognition. - Narayanaswamy Balakrishnan, Francesco Buono, Maria Longobardi:
On cumulative entropies in terms of moments of order statistics. - Yuki Oyama, Yusuke Hara, Takashi Akamatsu:
Markovian Traffic Equilibrium Assignment based on Network Generalized Extreme Value Model. - Brooke Stephenson, Laurent Besacier, Laurent Girin, Thomas Hueber:
What the Future Brings: Investigating the Impact of Lookahead for Incremental Neural TTS. - Seyed Hadi Mirfarshbafan, Mahdi Shabany, Seyed Alireza Nezamalhosseini, Christoph Studer:
Algorithm and VLSI Design for 1-bit Data Detection in Massive MIMO-OFDM. - Marco Tagliasacchi, Yunpeng Li, Karolis Misiunas, Dominik Roblek:
SEANet: A Multi-modal Speech Enhancement Network. - José Andrés González López, Alejandro Gómez Alanís, Juan M. Martín-Doñas, José L. Pérez-Córdoba, Angel M. Gomez:
Silent Speech Interfaces for Speech Restoration: A Review. - Sharmodeep Bhattacharyya, Shirshendu Chatterjee, Soumendu Sundar Mukherjee:
Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences. - Rui Li, Shunyi Zheng, Chenxi Duan, Jianlin Su:
Multi-Attention-Network for Semantic Segmentation of High-Resolution Remote Sensing Images. - René Carmona, Kenza Hamidouche, Mathieu Laurière, Zongjun Tan:
Policy Optimization for Linear-Quadratic Zero-Sum Mean-Field Type Games. - Fernando S. Barbosa, Lars Lindemann, Dimos V. Dimarogonas, Jana Tumova:
Provably Safe Control of Lagrangian Systems in Obstacle-Scattered Environments. - Scott Beveridge, Steffen A. Herff, Estefanía Cano:
Degradation effects of water immersion on earbud audio quality. - Photis Papademas, Eleni Kamilari, M. Aspri, Dimitrios A. Anagnostopoulos, P. Mousikos, Andreas Kamilaris, Dimitris Tsaltas:
Investigation of the Cyprus donkey milk bacterial diversity by 16SrDNA high-throughput sequencing in a Cyprus donkey farm. - Stefan Bittihn, Andreas Schadschneider:
Braess' paradox in the age of traffic information. - Muneki Yasuda, Kei Uchizawa:
A Generalization of Spatial Monte Carlo Integration. - Liang Yin, Chao Yang, Shi-Zhuang Ma, Ying Cai, Keke Zhang:
Parallel finite volume simulation of the spherical shell dynamo with pseudo-vacuum magnetic boundary conditions. - Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka:
Fast ultrasonic imaging using end-to-end deep learning. - Yuanchang Sun, Jack Xin:
Lorentzian Peak Sharpening and Sparse Blind Source Separation for NMR Spectroscopy. - Harun Siljak, Nouman Ashraf, Michael Taynnan Barros, Daniel Perez Martins, Bernard Butler, Arman Farhang, Nicola Marchetti, Sasitharan Balasubramaniam:
Evolving Intelligent Reflector Surface towards 6G for Public Health: Application in Airborne Virus Detection. - Miguel A. Boland, Edward A. K. Cohen, Seth R. Flaxman, Mark A. A. Neil:
Improving axial resolution in SIM using deep learning. - Harsh S. Dhiman, Dipankar Deb:
A Review of Wind Speed and Wind Power Forecasting Techniques. - Liwei Hu, Wenyong Wang, Yu Xiang, Jun Zhang:
Flow Field Reconstructions with GANs based on Radial Basis Functions. - Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka:
Deep data compression for approximate ultrasonic image formation. - Johan Ugander, Hao Yin:
Randomized Graph Cluster Randomization. - Austin Xu, Mark A. Davenport:
Simultaneous Preference and Metric Learning from Paired Comparisons. - Jochen Schmid:
Approximation, characterization, and continuity of multivariate monotonic regression functions. - Haijun Yu, Xinyuan Tian, Weinan E, Qianxiao Li:
OnsagerNet: Learning Stable and Interpretable Dynamics using a Generalized Onsager Principle. - Yudi Huang, Ting He, Nilanjan Ray Chaudhuri, Thomas La Porta:
Power Grid State Estimation under General Cyber-Physical Attacks. - Vasileios Charisopoulos, Austin R. Benson, Anil Damle:
Communication-efficient distributed eigenspace estimation. - Oskar Elek, Joseph N. Burchett, J. Xavier Prochaska, Angus G. Forbes:
Polyphorm: Structural Analysis of Cosmological Datasets via Interactive Physarum Polycephalum Visualization. - Zhenyu Wang, Wei Xia, John H. L. Hansen:
Cross-domain Adaptation with Discrepancy Minimization for Text-independent Forensic Speaker Verification. - Rafael Monteiro:
Binary Classification as a Phase Separation Process. - Peter J. Seiler, Joaquín Carrasco:
Construction of Periodic Counterexamples to the Discrete-Time Kalman Conjecture. - Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh:
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces. - Ahmet M. Elbir, Kumar Vijay Mishra:
A Survey of Deep Learning Architectures for Intelligent Reflecting Surfaces. - José Carlos Marinello, Taufik Abrão, Abolfazl Amiri, Elisabeth de Carvalho, Petar Popovski:
Antenna Selection for Improving Energy Efficiency in XL-MIMO Systems. - Otávio Seidi Nishimura, José Carlos Marinello, Taufik Abrão:
A Grant-based Random Access Protocol in Extra-Large Massive MIMO System. - Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Semi-supervised Pathology Segmentation with Disentangled Representations. - Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling. - Lígia May Taniguchi, Taufik Abrão:
Stochastic Channel Models for Massive and XL-MIMO Systems. - Zhenyu Wang, John H. L. Hansen, Yanlu Xie:
A multi-view approach for Mandarin non-native mispronunciation verification. - Dan Reznik, Ronaldo Garcia, Hellmuth Stachel:
Area-Invariant Pedal-Like Curves Derived from the Ellipse. - Ryan O'Donnell, Xinyu Wu:
Explicit near-fully X-Ramanujan graphs. - Jingjun Liang, Ruichen Li, Qin Jin:
Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching. - Guilherme França, José Bento:
Distributed Optimization, Averaging via ADMM, and Network Topology. - Ashwin Pananjady, Richard J. Samworth:
Isotonic regression with unknown permutations: Statistics, computation, and adaptation. - Gabriel Avanzi Ubiali, Taufik Abrão:
XL-MIMO Energy-Efficient Antenna Selection under Non-Stationary Channels. - Xin Hong, Xiangzhen Zhou, Sanjiang Li, Yuan Feng, Mingsheng Ying:
A Tensor Network based Decision Diagram for Representation of Quantum Circuits. - Heyrim Cho, Allison L. Lewis, Kathleen M. Storey:
Bayesian information-theoretic calibration of patient-specific radiotherapy sensitivity parameters for informing effective scanning protocols in cancer. - Preeti Kumari, Nitin Jonathan Myers, Robert W. Heath Jr.:
Adaptive and Fast Combined Waveform-Beamforming Design for mmWave Automotive Joint Communication-Radar. - Xuqing Bai, Xueliang Li:
Strong rainbow disconnection in graphs. - Kohei Yoshikawa, Shuichi Kawano:
Multilinear Common Component Analysis via Kronecker Product Representation. - Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Catriona Reid, Baba Inusa, Andrew P. King:
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. - George Pantazis, Filiberto Fele, Kostas Margellos:
On the probabilistic feasibility of solutions in multi-agent optimization problems under uncertainty. - Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort, Arno Onken:
CalciumGAN: A Generative Adversarial Network Model for Synthesising Realistic Calcium Imaging Data of Neuronal Populations. - Diogo R. Ferreira, Pedro J. Carvalho, Carlo Sozzi, Peter J. Lomas, J. E. T. Contributors:
Deep Learning for the Analysis of Disruption Precursors based on Plasma Tomography. - Eugène Ndiaye, Olivier Fercoq, Joseph Salmon:
Screening Rules and its Complexity for Active Set Identification. - Songxiang Liu, Yuewen Cao, Disong Wang, Xixin Wu, Xunying Liu, Helen Meng:
Any-to-Many Voice Conversion with Location-Relative Sequence-to-Sequence Modeling. - Tobias Glasmachers, Oswin Krause:
Convergence Analysis of the Hessian Estimation Evolution Strategy. - Chao Liu, Heming Sun, Jiro Katto, Xiaoyang Zeng, Yibo Fan:
A Convolutional Neural Network-Based Low Complexity Filter. - Heng-Li Liu, Quan-Lin Li, Chi Zhang:
Matched Queues with Matching Batch Pair (m, n). - Dong Ma, Guohao Lan, Weitao Xu, Mahbub Hassan, Wen Hu:
Simultaneous Energy Harvesting and Gait Recognition using Piezoelectric Energy Harvester. - Yongxiang Huang, Albert C. S. Chung:
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction. - Thomas Bartz-Beielstein, Eva Bartz, Frederik Rehbach, Olaf Mersmann:
Optimization of High-dimensional Simulation Models Using Synthetic Data. - Smruti Prava Dash:
Vertex-Domatic, Edge-Domatic and Total Domatic Number of Uniform Hypergraphs. - Archontis Politis, Annamaria Mesaros, Sharath Adavanne, Toni Heittola, Tuomas Virtanen:
Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019. - Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
Perfusion Imaging: A Data Assimilation Approach. - Emre Gönültas, Eric Lei, Jack Langerman, Howard Huang, Christoph Studer:
CSI-Based Multi-Antenna and Multi-Point Indoor Positioning Using Probability Fusion. - Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo:
Gradient-based Competitive Learning: Theory. - Ayat Abedalla, Malak Abdullah, Mahmoud Al-Ayyoub, Elhadj Benkhelifa:
The 2ST-UNet for Pneumothorax Segmentation in Chest X-Rays using ResNet34 as a Backbone for U-Net. - Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation. - Jorge Wuth, Richard M. Stern, Néstor Becerra Yoma:
Non causal deep learning based dereverberation. - Jatin Chowdhury:
A Comparison of Virtual Analog Modelling Techniques for Desktop and Embedded Implementations. - Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, Ulas Bagci:
Brain Tumor Survival Prediction using Radiomics Features. - Christian Kümmerle, Claudio Mayrink Verdun:
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method. - Pietro Vischia:
Unfolding by Folding: a resampling approach to the problem of matrix inversion without actually inverting any matrix. - Timothy Roberts, Aaron Nicolson, Kuldip K. Paliwal:
Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio. - Jonathan Ben-Artzi, Marco Marletta, Frank Rösler:
Computing the Sound of the Sea in a Seashell. - Matthew Harrison-Trainor:
An Analysis of Random Elections with Large Numbers of Voters. - Ragnar Freij-Hollanti, Olga Kuznetsova:
Information Hiding Using Matroid Theory. - Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Alex M. Bronstein:
Towards learned optimal q-space sampling in diffusion MRI. - Samudra Herath, Matthew Roughan, Gary Glonek:
Simulating Name-like Vectors for Testing Large-scale Entity Resolution. - Pierre Alquier:
Non-exponentially weighted aggregation: regret bounds for unbounded loss functions. - Sebastian M. Cioaba, Jack H. Koolen, Masato Mimura, Hiroshi Nozaki, Takayuki Okuda:
On the spectrum and linear programming bound for hypergraphs. - Jakub Nemcek, Roman Jakubícek, Jirí Chmelík:
Localization and classification of intracranialhemorrhages in CT data. - Kazuharu Harada, Hironori Fujisawa:
Estimation of Structural Causal Model via Sparsely Mixing Independent Component Analysis. - Soohwan Kim, Seyoung Bae, Cheolhwang Won:
KoSpeech: Open-Source Toolkit for End-to-End Korean Speech Recognition. - Zhengxin Joseph Ye, Björn W. Schuller:
Capturing dynamics of post-earnings-announcement drift using genetic algorithm-optimised supervised learning. - Dan Liu, Shuai Wang, Zhigang Wen, Lei Cheng, Miaowen Wen, Yik-Chung Wu:
Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning. - Jian Wu, Zhuo Chen, Jinyu Li, Takuya Yoshioka, Zhili Tan, Ed Lin, Yi Luo, Lei Xie:
An End-to-end Architecture of Online Multi-channel Speech Separation. - Ankit Sharma, Shreyash Arya, Shashee Kumari, Arnab Chatterjee:
Effect of lockdown interventions to control the COVID-19 epidemic in India. - Yanwei Fu, Feng Li, Wenxuan Wang, Haicheng Tang, Xuelin Qian, Mengwei Gu, Xiangyang Xue:
A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools. - Keith Dillon:
The Resolution Matrix for Visualizing Functional Network Connectivity. - David Gosset, Daniel Grier, Alex Kerzner, Luke Schaeffer:
Fast simulation of planar Clifford circuits. - Petr Skoda, Ondrej Podsztavek, Pavel Tvrdík:
Active deep learning method for the discovery of objects of interest in large spectroscopic surveys. - Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart H. Mostofsky, Archana Venkataraman:
A Joint Network Optimization Framework to Predict Clinical Severity from Resting State Functional MRI Data. - Vivek Subramanian, Joshua Khani:
Graph Convolutional Networks Reveal Neural Connections Encoding Prosthetic Sensation. - Teng Liu, Wenhao Tan, Shaobo Lu, Yalian Yang:
Data-Driven Transferred Energy Management Strategy for Hybrid Electric Vehicles via Deep Reinforcement Learning. - Zachary Chase:
New Upper Bounds for Trace Reconstruction. - Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Going deeper with brain morphometry using neural networks. - Álvaro Ribas, Catherine C. Espaillat, Enrique Macías, Luis M. Sarro:
Modeling protoplanetary disk SEDs with artificial neural networks: Revisiting the viscous disk model and updated disk masses. - Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev:
Topological Data Analysis for Portfolio Management of Cryptocurrencies. - Michal Byra, Grzegorz Styczynski, Cezary Szmigielski, Piotr Kalinowski, Lukasz Michalowski, Rafal Paluszkiewicz, Bogna Ziarkiewicz-Wroblewska, Krzysztof Zieniewicz, Andrzej Nowicki:
Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method. - Saumya Borwankar:
Auction Based Approach For Resource Allocation In D2D Communication. - Wei Zhou, Zhibo Chen:
Deep Local and Global Spatiotemporal Feature Aggregation for Blind Video Quality Assessment. - Yu Zheng, Olugbenga Moses Anubi:
Attack-resilient observer pruning for path-tracking control of Wheeled Mobile Robot. - Rojin Aslani, Mehdi Rasti:
A Distributed Power Control Algorithm for Energy Efficiency Maximization in Wireless Cellular Networks. - Xavier Tricoche, Wayne R. Schlei, Kathleen C. Howell:
Extraction and Visualization of Poincaré Map Topology for Spacecraft Trajectory Design. - Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn:
Alternating Direction Method of Multipliers for Quantization. - Aly Sabri Abdalla, Vuk Marojevic:
Communications and Networking Standards for UASs: The 3GPP Perspective and Research Drivers. - Jianan Zhu, Solmaz S. Kia:
An IMM-based Decentralized Cooperative Localization with LoS and NLoS UWB Inter-agent Ranging. - Rohan Kumar Das, Tomi Kinnunen, Wen-Chin Huang, Zhen-Hua Ling, Junichi Yamagishi, Yi Zhao, Xiaohai Tian, Tomoki Toda:
Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions. - Adi Hanuka, Xiaobiao Huang, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, V. R. Lalchand, Daniel Ratner, Joseph Duris:
Physics-informed Gaussian Process for Online Optimization of Particle Accelerators. - Caijun Ren, Xiangyu Wang, Jian Gao, Huanhuan Chen:
Unsupervised Change Detection in Satellite Images with Generative Adversarial Network. - Bo Zhang, Wenfeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang:
AutoKWS: Keyword Spotting with Differentiable Architecture Search. - Anyan Shi, Jiqing Han, Ziqiang Shi:
Toward the pre-cocktail party problem with TasTas+. - Rao Muhammad Umer, Christian Micheloni:
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution. - Wenjia Ba, Haim Mendelson, Mingxi Zhu:
Sales Policies for a Virtual Assistant. - Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi:
Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People. - Szabolcs Horvát, Carl D. Modes:
Connectivity matters: Construction and exact random sampling of connected graphs. - Andrés Vazquez Sieber, Mónica Romero:
On the assessment of an optimized method to determine the number of turns and the air gap length in ferrite-core low-frequency-current biased inductors. - Wicak Ananduta, Carlos Ocampo-Martinez, Angelia Nedic:
Accelerated Multi-Agent Optimization Method over Stochastic Networks. - Gábor Szárnyas:
Graphs and matrices: A translation of "Graphok és matrixok" by Dénes Kőnig (1931). - Nanyu Li, Yujuan Si, Di Wang, Tong Liu, Jinrun Yu:
ECG Beats Fast Classification Base on Sparse Dictionaries. - Michele Nardin, James W. Phillips, William F. Podlaski, Sander W. Keemink:
Nonlinear computations in spiking neural networks through multiplicative synapses. - Diego Deplano, Mauro Franceschelli, Alessandro Giua:
Dynamic Max-Consensus and Size Estimation of Anonymous Multi-Agent Networks. - Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, Christoph Studer:
High-Bandwidth Spatial Equalization for mmWave Massive MU-MIMO with Processing-In-Memory. - Sanidhya Mangal, Aanchal Chaurasia, Ayush Khajanchi:
Convolution Neural Networks for diagnosing colon and lung cancer histopathological images. - Matthew B. Hastings, Jeongwan Haah, Ryan O'Donnell:
Fiber Bundle Codes: Breaking the N1/2 polylog(N) Barrier for Quantum LDPC Codes. - Arijit Haldar, Omid Tavakol, Thomas Scaffidi:
Variational wavefunctions for Sachdev-Ye-Kitaev models. - Andrea De Simone, Alessandro Morandini:
Nonparametric Density Estimation from Markov Chains. - Alex Evetts, Alex Levine:
Equations in virtually abelian groups: languages and growth. - Seyfeddine Boukhtache, Kamel Abdelouahab, François Berry, Benoît Blaysat, Michel Grédiac, Frédéric Sur:
When Deep Learning Meets Digital Image Correlation. - Michael Stephen Fiske:
Combining Determinism and Indeterminism. - Achyut Mani Tripathi, Ashish Mishra:
Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models. - Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. - Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme:
Data-assisted combustion simulations with dynamic submodel assignment using random forests. - Ganesh Sivaraman, Leighanne Gallington, Anand Narayanan Krishnamoorthy, Marius Stan, Gábor Csányi, Álvaro Vázquez-Mayagoitia, Chris J. Benmore:
An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide. - Liangrui Pan, Pronthep Pipitsunthonsan, Peng Zhang, Chalongrat Daengngam, Apidach Booranawong, Mitchai Chongcheawchamnan:
Noise Reduction Technique for Raman Spectrum using Deep Learning Network. - Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna:
1-Dimensional polynomial neural networks for audio signal related problems. - Liangrui Pan, Pronthep Pipitsunthonsan, Chalongrat Daengngam, Sittiporn Channumsin, Suwat Sreesawet, Mitchai Chongcheawchamnan:
Method for classifying a noisy Raman spectrum based on a wavelet transform and a deep neural network. - Manuel D. Morales, Javier Mauricio Antelis, Claudia Moreno, Alexander I. Nesterov:
Deep learning for gravitational-wave data analysis: A resampling white-box approach. - Zexu Pan, Zhaojie Luo, Jichen Yang, Haizhou Li:
Multi-modal Attention for Speech Emotion Recognition. - Jesper Haahr Christensen, Lars Valdemar Mogensen, Ole Ravn:
Single Image Super-Resolution for Domain-Specific Ultra-Low Bandwidth Image Transmission. - Ofir Lindenbaum, Amir Sagiv, Gal Mishne, Ronen Talmon:
Kernel-based parameter estimation of dynamical systems with unknown observation functions. - Radu Miron, Cosmin Moisii, Mihaela Breaban:
Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data. - Helena Cuesta, Brian McFee, Emilia Gómez:
Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks. - Yi Zhou, Yin Cui, Xiaoke Xu, Jidong Suo, Xiaoming Liu:
Small-floating Target Detection in Sea Clutter via Visual Feature Classifying in the Time-Doppler Spectra. - Bernadette N. Hahn, Melinda-Loren Kienle-Garrido, Christian Klingenberg, Sandra Warnecke:
Using the Navier-Cauchy equation for motion estimation in dynamic imaging. - Tabea Kossen, Pooja Subramaniam, Vince I. Madai, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey:
Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks. - Gergely Buza, Shobhit Jain, George Haller:
Using Spectral Submanifolds for Optimal Mode Selection in Model Reduction. - Yasser Abduallah, Jason T. L. Wang, Yang Nie, Chang Liu, Haimin Wang:
DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction. - Jon Cockayne, Andrew B. Duncan:
Probabilistic Gradients for Fast Calibration of Differential Equation Models. - Shishuo Fu, Zhicong Lin, Yaling Wang:
Refined Wilf-equivalences by Comtet statistics. - Rui Zhao, Daniel Pak-Kong Lun, Kin-Man Lam:
NTGAN: Learning Blind Image Denoising without Clean Reference. - Pieter Appeltans, Wim Michiels:
A scalable controller synthesis method for the robust control of networked systems. - Quan Wang, Ignacio López-Moreno, Mert Saglam, Kevin W. Wilson, Alan Chiao, Renjie Liu, Yanzhang He, Wei Li, Jason Pelecanos, Marily Nika, Alexander Gruenstein:
VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition. - Vivien Cabannes:
Consistency and Regression with Laplacian regularization in Reproducing Kernel Hilbert Space. - Anastasia S. Bizyaeva, Alessio Franci, Naomi Ehrich Leonard:
A General Model of Opinion Dynamics with Tunable Sensitivity. - Hengameh Mirhajianmoghadam, S. Mahmood Ghasemi:
Efficient Parameter Selection for Scaled Trust-Region Newton Algorithm in Solving Bound-constrained Nonlinear Systems. - Huan Li, Zhouchen Lin, Yongchun Fang:
Optimal Accelerated Variance Reduced EXTRA and DIGing for Strongly Convex and Smooth Decentralized Optimization. - Christian Ewert, David Kügler, Anastasia Yendiki, Martin Reuter:
Learning Anatomical Segmentations for Tractography from Diffusion MRI. - Projesh Nath Choudhury, M. Rajesh Kannan:
Interval hulls of N-matrices and almost P-matrices. - HoseinAli Jafari, Mohammad Bagher Heydari, Niloofar Jafari, Hamid Mirhosseini:
Design and Fabrication of Novel Digital Transcranial Electrical Stimulator for Medical and Psychiatry Applications. - Li Zhou, Lihao Yan, Mark A. Caprio, Weiguo Gao, Chao Yang:
Solving the k-sparse Eigenvalue Problem with Reinforcement Learning. - Ryan LaRose, Andrea Mari, Peter J. Karalekas, Nathan Shammah, William J. Zeng:
Mitiq: A software package for error mitigation on noisy quantum computers. - Yixing Huang, Fuxin Fan, Christopher Syben, Philipp Roser, Leonid Mill, Andreas Maier:
Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems. - Mathijs Schuurmans, Panagiotis Patrinos:
Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility. - Seungwook Han, Akash Srivastava, Cole L. Hurwitz, Prasanna Sattigeri, David D. Cox:
not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget. - Jian Pei:
A Survey on Data Pricing: from Economics to Data Science. - Peter Blouw, Gurshaant Malik, Benjamin Morcos, Aaron R. Voelker, Chris Eliasmith:
Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware. - Giacomo De Palma, Milad Marvian, Dario Trevisan, Seth Lloyd:
The quantum Wasserstein distance of order 1. - Vincent Paul Su:
Variational Preparation of the Sachdev-Ye-Kitaev Thermofield Double. - Benoît Legat, Cláudio Gomes, Paschalis Karalis, Raphaël M. Jungers, Eva M. Navarro-López, Hans Vangheluwe:
Stability of Planar Switched Systems under Delayed Event Detection. - Axel Aguerreberry, Ezequiel de la Rosa, Alain Lalande, Elmer Fernandez:
Segmentation-free Estimation of Aortic Diameters from MRI Using Deep Learning. - Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip C. Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey D. Krupa, Kevin Pedro, Nhan Tran:
GPU-accelerated machine learning inference as a service for computing in neutrino experiments. - Kristine Heiney, Gunnar Tufte, Stefano Nichele:
On Artificial Life and Emergent Computation in Physical Substrates. - Vishaal Ram, Laura P. Schaposnik, Nikos Konstantinou, Eliz Volkan, Marietta Papadatou-Pastou, Banu Manav, Domicele Jonauskaite, Christine Mohr:
Extrapolating continuous color emotions through deep learning. - Tobias Rapp, Carsten Dachsbacher:
Uncertain Transport in Unsteady Flows. - Yan Wang, Xuelei Sherry Ni:
Improving Investment Suggestions for Peer-to-Peer (P2P) Lending via Integrating Credit Scoring into Profit Scoring. - Leonhard Helminger, Michael Bernasconi, Abdelaziz Djelouah, Markus Gross, Christopher Schroers:
Blind Image Restoration with Flow Based Priors. - Ying Chen, Peng Liu, Chung-Piaw Teo:
Regularised Text Logistic Regression: Key Word Detection and Sentiment Classification for Online Reviews. - Oluwaseun Joseph Aribido, Ghassan AlRegib, Mohamed Deriche:
Self-Supervised Annotation of Seismic Images using Latent Space Factorization. - Donlapark Ponnoprat:
Universal consistency of Wasserstein k-NN classifier. - Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Tolga Tasdizen:
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent. - Andreas Lundgren, Daniel Jung:
Data-Driven Open Set Fault Classification and Fault Size Estimation Using Quantitative Fault Diagnosis Analysis. - Jianhai Bao, Xing Huang, Shao-Qin Zhang:
Convergence rate of EM algorithm for SDEs under integrability condition. - Neil J. Cronin, Taija Finni, Olivier Seynnes:
Fully automated analysis of muscle architecture from B-mode ultrasound images with deep learning. - Nora Lüthen, Stefano Marelli, Bruno Sudret:
Sparse Polynomial Chaos Expansions: Solvers, Basis Adaptivity and Meta-selection. - Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni:
Deep Iterative Residual Convolutional Network for Single Image Super-Resolution. - Lakshay Narula, Peter Anthony Iannucci, Todd E. Humphreys:
All-Weather sub-50-cm Radar-Inertial Positioning. - Daniele Gammelli, Kasper Pryds Rolsted, Dario Pacino, Filipe Rodrigues:
Generalized Multi-Output Gaussian Process Censored Regression. - Massimo Iuliani, Marco Fontani, Alessandro Piva:
A leak in PRNU based source identification? Questioning fingerprint uniqueness. - Yong Cai, Grant Goehring:
The 2020 Sturgis Motorcycle Rally and COVID-19. - Jiali Liu, Wenxuan Wang, Tianyao Guan, Ningbo Zhao, Xiaoguang Han, Zhen Li:
Ultrasound Liver Fibrosis Diagnosis using Multi-indicator guided Deep Neural Networks. - Daniel Dadush, Bento Natura, László A. Végh:
Revisiting Tardos's Framework for Linear Programming: Faster Exact Solutions using Approximate Solvers. - Shashanka Ubaru, Lior Horesh, Guy Cohen:
Dynamic graph based epidemiological model for COVID-19 contact tracing data analysis and optimal testing prescription. - Kusha Sridhar, Ross Cutler, Ando Saabas, Tanel Pärnamaa, Hannes Gamper, Sebastian Braun, Robert Aichner, Sriram Srinivasan:
ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets and Testing Framework. - Andrea Fronzetti Colladon, Stefano Grassi, Francesco Ravazzolo, Francesco Violante:
Forecasting financial markets with semantic network analysis in the COVID-19 crisis. - Mattia Bianchi, Sergio Grammatico:
Nash equilibrium seeking under partial-decision information over directed communication networks. - Karthik Pandia D. S, Anusha Prakash, Mano Ranjith Kumar, Hema A. Murthy:
Exploration of End-to-end Synthesisers forZero Resource Speech Challenge 2020. - Julian Alberto Palladino, Diego Fernández Slezak, Enzo Ferrante:
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images. - Sheshank Shankar, Ayush Chopra, Rishank Kanaparti, Myungsun Kang, Abhishek Singh, Ramesh Raskar:
Proximity Sensing for Contact Tracing. - Ali Mahmoudzadeh, Sophia Liu, Sol Sadeghi, Paul Luo Li, Somit Gupta:
Bias Variance Tradeoff in Analysis of Online Controlled Experiments. - Riccardo Bonalli, Thomas Lew, Marco Pavone:
Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control. - Jaime Sevilla, C. Jess Riedel:
Forecasting timelines of quantum computing. - Yingjun Dong, Neil G. MacLaren, Yiding Cao, Francis J. Yammarino, Shelley D. Dionne, Michael D. Mumford, Shane Connelly, Hiroki Sayama, Gregory A. Ruark:
Speaker Diarization Using Stereo Audio Channels: Preliminary Study on Utterance Clustering. - Miheer Dewaskar, John Palowitch, Mark He, Michael I. Love, Andrew B. Nobel:
Finding Stable Groups of Cross-Correlated Features in Multi-View data. - Mostafa Honari-Latifpour, Mohammad-Ali Miri:
Mapping the XY Hamiltonian onto a Network of Coupled Lasers. - Shakib Yazdani, Shervin Minaee, Rahele Kafieh, Narges Saeedizadeh, Milan Sonka:
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network. - Andrea La Spina, Martin Kronbichler, Matteo Giacomini, Wolfgang A. Wall, Antonio Huerta:
A weakly compressible hybridizable discontinuous Galerkin formulation for fluid-structure interaction problems. - Riccardo Bonalli, Thomas Lew, Marco Pavone:
Sequential Convex Programming For Non-Linear Stochastic Optimal Control. - Mohammad Adiban, Arash Safari, Giampiero Salvi:
STEP-GAN: A Step-by-Step Training for Multi Generator GANs with application to Cyber Security in Power Systems. - Abdul Wahab, Shujaat Khan:
Comments on "Generalization of the gradient method with fractional order gradient direction". - Masataka Maeda, Kohei Soga:
More on convergence of Chorin's projection method for incompressible Navier-Stokes equations. - Chang Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang:
Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications. - Aditya Tandon, Aiiad Albeshri, Vijey Thayananthan, Wadee Alhalabi, Filippo Radicchi, Santo Fortunato:
Community detection in networks using graph embeddings. - Robin Scheibler:
Generalized Minimal Distortion Principle for Blind Source Separation. - Richard Nickl, Sven Wang:
On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms. - Francesco Da Ros, Uiara Celine de Moura, Metodi P. Yankov:
Machine learning-based EDFA Gain Model Generalizable to Multiple Physical Devices. - Fang Fang, Yanqing Xu, Quoc-Viet Pham, Zhiguo Ding:
Energy-Efficient Design of IRS-NOMA Networks. - Metodi P. Yankov, Uiara Celine de Moura, Francesco Da Ros:
Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling. - Hayden Gunraj, Linda Wang, Alexander Wong:
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images. - Jérémy Scheurer, Claudio Ferrari, Luis Berenguer Todo Bom, Michaela Beer, Werner Kempf, Luis Haug:
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema. - Douglas Soares Gonçalves, Carlile Lavor, Leo Liberti, Michael Souza:
A new algorithm for the KDMDGP subclass of Distance Geometry Problems. - Zhenzhou Wang:
Phase Sampling Profilometry. - Taeheon Lee, Jeonghwan Hwang, Honggu Lee:
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings. - James Hook, Calum Hand, Emma Whitfield:
Bayesian Screening: Multi-test Bayesian Optimization Applied to in silico Material Screening. - Christopher Duffy, Fabien Jacques, Mickaël Montassier, Alexandre Pinlou:
The chromatic number of 2-edge-colored and signed graphs of bounded maximum degree. - Julien M. Hendrickx, Michael G. Rabbat:
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems. - Klaus Ackermann, Alexey Chernikov, Nandini Anantharama, Miethy Zaman, Paul A. Raschky:
Object Recognition for Economic Development from Daytime Satellite Imagery. - Jean-Baptiste Courbot, Bruno Colicchio:
Boosting the Sliding Frank-Wolfe solver for 3D deconvolution. - Long Feng:
Projected Robust PCA with Application to Smooth Image Recovery. - Adriana Stan:
RECOApy: Data recording, pre-processing and phonetic transcription for end-to-end speech-based applications. - Divish Rengasamy, Benjamin Rothwell, Grazziela Patrocinio Figueredo:
Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion. - Alexander Gerharz, Andreas Groll, Gunther Schauberger:
Deducing neighborhoods of classes from a fitted model. - Modibo Camara, Jason D. Hartline, Aleck C. Johnsen:
Mechanisms for a No-Regret Agent: Beyond the Common Prior. - Huy Phan, Lam Dang Pham, Philipp Koch, Ngoc Q. K. Duong, Ian McLoughlin, Alfred Mertins:
On Multitask Loss Function for Audio Event Detection and Localization. - Juste Raimbault, Natalia Zdanowska, Elsa Arcaute:
Modeling growth of urban firm networks. - Youness Arjoune, Saleh Faruque:
Smart Jamming Attacks in 5G New Radio: A Review. - Andrej Bauer, Philipp G. Haselwarter, Peter LeFanu Lumsdaine:
A general definition of dependent type theories. - Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation. - Jason D. Wittenbach, Brian d'Alessandro, C. Bayan Bruss:
Machine Learning for Temporal Data in Finance: Challenges and Opportunities. - Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang:
QRnet: optimal regulator design with LQR-augmented neural networks. - Victor Reis:
Balancing Polynomials in the Chebyshev Norm. - Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations. - Shengkai Li, Bahnisikha Dutta, Sarah Cannon, Joshua J. Daymude, Ram Avinery, Enes Aydin, Andréa W. Richa, Daniel I. Goldman, Dana Randall:
Programming Active Granular Matter with Mechanically Induced Phase Changes. - Ze Cheng, Juncheng Li, Chenxu Wang, Jixuan Gu, Hao Xu, Xinjian Li, Florian Metze:
Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations. - Vukan Ninkovic, Dejan Vukobratovic, Aleksandar Valka, Dejan Dumic:
Preamble-Based Packet Detection in Wi-Fi: A Deep Learning Approach. - Yaohua Bu, Weijun Li, Tianyi Ma, Shengqi Chen, Jia Jia, Kun Li, Xiaobo Lu:
Corrective feedback, emphatic speech synthesis, visual-speech exaggeration, pronunciation learning. - Faizan Munawar, Shoaib Azmat, Talha Iqbal, Christer Grönlund, Hazrat Ali:
Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks. - Qianwen Ye, Xiaochen Fan, Gengfa Fang, Hongxia Bie, Chaocan Xiang, Xudong Song, Xiangjian He:
EdgeLoc: An Edge-IoT Framework for Robust Indoor Localization Using Capsule Networks. - Boris Bukh, Ting-Wei Chao:
Empty axis-parallel boxes. - Antonio Rieser, Alejandra Trujillo:
Kunneth Theorems for Vietoris-Rips Homology. - Arash Hooshmand:
Machine Learning Against Cancer: Accurate Diagnosis of Cancer by Machine Learning Classification of the Whole Genome Sequencing Data. - Bryan Wilder, Michael J. Mina, Milind Tambe:
Tracking disease outbreaks from sparse data with Bayesian inference. - Yuetian Luo, Anru R. Zhang:
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. - Yana Lishkova, Sina Ober-Blöbaum, Mark Cannon, Sigrid Leyendecker:
A multirate variational approach to simulation and optimal control for flexible spacecraft. - Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li:
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network. - Yucheng Hang, Qingmin Liao, Wenming Yang, Yupeng Chen, Jie Zhou:
Attention Cube Network for Image Restoration. - Takashi Takekawa:
Clustering of non-Gaussian data by variational Bayes for normal inverse Gaussian mixture models. - Changyang She, Chengjian Sun, Zhouyou Gu, Yonghui Li, Chenyang Yang, H. Vincent Poor, Branka Vucetic:
A Tutorial of Ultra-Reliable and Low-Latency Communications in 6G: Integrating Theoretical Knowledge into Deep Learning. - Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Daniel Horn, Carsten Jentsch:
Random boosting and random^2 forests - A random tree depth injection approach. - Jose H. Blanchet, Yang Kang, Jose Luis Montiel Olea, Viet Anh Nguyen, Xuhui Zhang:
Machine Learning's Dropout Training is Distributionally Robust Optimal. - Hossein Memarzadeh Sharifipour, Bardia Yousefi:
Mathematical Morphology via Category Theory. - Jianan Cui, Kuang Gong, Paul Han, Huafeng Liu, Quanzheng Li:
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network. - Dinh Hoa Nguyen, Chuanjiang Qin, Toshinori Matsushima, Chihaya Adachi:
Thing-to-Thing Optical Wireless Power Transfer Based on Metal Halide Perovskite Transceivers. - M. P. Wand, J. C. F. Yu:
Density Estimation via Bayesian Inference Engines. - Yuanyuan Shi, Baosen Zhang:
Multi-Agent Reinforcement Learning in Cournot Games. - Ximing Xie, Fang Fang, Zhiguo Ding:
Joint Optimization of Beamforming, Phase-Shifting and Power Allocation in a Multi-cluster IRS-NOMA Network. - Fang Fang, Kaidi Wang, Zhiguo Ding, Victor C. M. Leung:
Energy-Efficient Resource Allocation for NOMA enabled MEC Networks with Imperfect CSI. - Baris Göktepe, Tatiana Rykova, Thomas Fehrenbach, Thomas Schierl, Cornelius Hellge:
Feedback Prediction for Proactive HARQ in the Context of Industrial Internet of Things. - Ziba Assadi:
Decidability of the Multiplicative and Order Theory of Numbers. - Jairo A. Ayala-Godoy, Rosa E. Lillo, Juan Romo:
Automatic elimination of the pectoral muscle in mammograms based on anatomical features. - Fang Fang, Yanqing Xu, Zhiguo Ding, Chao Shen, Mugen Peng, George K. Karagiannidis:
Optimal Resource Allocation for Delay Minimization in NOMA-MEC Networks. - Annika Pick, Sebastian Ginzel, Stefan Rüping, Jil Sander, Ann Christina Foldenauer, Michaela Köhm:
Aligning Subjective Ratings in Clinical Decision Making. - Paschalis Bizopoulos, Nicholas Vretos, Petros Daras:
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans. - Falco J. Bargagli Stoffi, Jan Niederreiter, Massimo Riccaboni:
Supervised learning for the prediction of firm dynamics. - Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu:
Sufficient Dimension Reduction for Average Causal Effect Estimation. - Qingsong Yao, Li Xiao, Peihang Liu, S. Kevin Zhou:
Label-Free Segmentation of COVID-19 Lesions in Lung CT. - Punam Bedi, Shivani, Pushkar Gole, Neha Gupta, Vinita Jindal:
Projections for COVID-19 spread in India and its worst affected five states using the Modified SEIRD and LSTM models. - Alberto Caron, Ioanna Manolopoulou, Gianluca Baio:
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review. - Jonathan Lenchner:
A Finitist's Manifesto: Do we need to Reformulate the Foundations of Mathematics? - Etika Kartikadarma, Sari Wijayanti, Sari Ayu Wulandari, Fauzi Adi Rafrastara:
Principle Component Analysis for Classification of the Quality of Aromatic Rice. - Daniel Gerth, Susann Hannusch, Oliver Ernst, Jörn Ihlemann:
Regularization for the inversion of Fibre Bragg Grating spectra. - Diego Zabaljauregui:
Optimal market making under partial information and numerical methods for impulse control games with applications. - David Obst, Joseph De Vilmarest, Yannig Goude:
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France. - Xilin Liu, Andrew G. Richardson, Jan Van der Spiegel:
An Energy-efficient Wireless Neural Recording System with Compressed Sensing and Encryption. - Miguel Navascués, Costantino Budroni, Yelena Guryanova:
Disease control as an optimization problem. - Ales Zahorski:
Multilevel regression with poststratification for the national level Viber/Street poll on the 2020 presidential election in Belarus. - Maria Athanasiou, Konstantina Sfrintzeri, Konstantia Zarkogianni, Anastasia C. Thanopoulou, Konstantina S. Nikita:
An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus. - Stefano Carrazza, Juan Cruz-Martinez, Marco Rossi:
PDFFlow: parton distribution functions on GPU. - Yasar Sinan Nasir, Dongning Guo:
Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks. - Boram Yoon:
A machine learning approach for efficient multi-dimensional integration. - Ming Min, Tomoyuki Ichiba:
Convolutional Signature for Sequential Data. - Pankaj Rajak, Aravind Krishnamoorthy, Ankit Mishra, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta:
Predictive Synthesis of Quantum Materials by Probabilistic Reinforcement Learning. - Youbang Sun, Shahin Shahrampour:
Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics. - Niander Assis, Renato M. Assunção, Pedro O. S. Vaz de Melo:
Stop the Clock: Are Timeout Effects Real? - Bo Zhou, Yu-Jung Tsai, Chi Liu:
Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning. - Jean-François Rajotte, Raymond T. Ng:
Private data sharing between decentralized users through the privGAN architecture. - Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth Behrman:
Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. - Tuomo Raitio, Ramya Rasipuram, Dan Castellani:
Controllable neural text-to-speech synthesis using intuitive prosodic features. - Yan Liu, Yansha Deng, Nan Jiang, Maged Elkashlan, Arumugam Nallanathan:
Analysis of Random Access in NB-IoT Networks with Three Coverage Enhancement Groups: A Stochastic Geometry Approach. - Cheng Mao, Yihong Wu:
Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments. - Julien Grand-Clément, Christian Kroer:
First-Order Methods for Wasserstein Distributionally Robust MDP. - Haoning Xi, Wei Liu, David Rey, S. Travis Waller, Philip Kilby:
Incentive-compatible mechanisms for continuous resource allocation in mobility-as-a-service: Pay-as-You-Go and Pay-as-a-Package. - Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han:
Microscope Based HER2 Scoring System. - Yujie Jin, Hongliang Zhang, Shuhang Zhang, Zhu Han, Lingyang Song:
Sense-Store-Send: Trajectory Optimization for a Buffer-aided Internet of UAVs. - Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. - Dominique Pastor, Erwan Beurier, Andrée C. Ehresmann, Roger Waldeck:
Interfacing biology, category theory and mathematical statistics. 136-148 - Oussama Ghdiri, Wael Jaafar, Safwan Alfattani, Jihene Ben Abderrazak, Halim Yanikomeroglu:
Energy-Efficient Multi-UAV Data Collection for IoT Networks with Time Deadlines. - Khoi Ly, Nicholas Kellaris, Dade McMorris, Brian K. Johnson, Eric Acome, Vani Sundaram, Mantas Naris, J. Sean Humbert, Mark E. Rentschler, Christoph Keplinger, Nikolaus Correll:
Miniaturized Circuitry for Capacitive Self-sensing and Closed-loop Control of Soft Electrostatic Transducers. - Linlin Zheng, Jiakang Li, Meng Sun, Xiongwei Zhang, Thomas Fang Zheng:
When Automatic Voice Disguise Meets Automatic Speaker Verification. - David Rushing Dewhurst:
Structural time series grammar over variable blocks. - Oscar Martinez-Fuentes, Sergio M. Delfin-Prieto:
Stability of Fractional Nonlinear Systems with Mittag-Leffler Kernel and Design of State Observers. - Xuyun Wen, Li-Ming Hsu, Weili Lin, Han Zhang, Dinggang Shen:
Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy. - Michael Rollins, Dave Cliff:
Which Trading Agent is Best? Using a Threaded Parallel Simulation of a Financial Market Changes the Pecking-Order. - Jianwei Li, Yongtao Wang, Haihua Xie, Kai-Kuang Ma:
Learning a Single Model with a Wide Range of Quality Factors for JPEG Image Artifacts Removal. - Benjamin Patrick Evans, Kirill Glavatskiy, Michael S. Harré, Mikhail Prokopenko:
The impact of social influence in Australian real-estate: market forecasting with a spatial agent-based model. - Jin-Fu Chen, Yi-Mu Du, Hui Dong, Chang-Pu Sun:
Hierarchical Coarse-grained Approach to the Duration-dependent Spreading Dynamics in Complex Networks. - Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. - Sattar Vakili, Kia Khezeli, Victor Picheny:
On Information Gain and Regret Bounds in Gaussian Process Bandits. - Insaf Ismath, K. B. Shashika Manosha, Samad Ali, Nandana Rajatheva, Matti Latva-aho:
Deep Reinforcement Learning Based Fast Initial Access For mmWave Based User-centric Systems. - Abdul Wahab, Shujaat Khan, Farrukh Zeeshan Khan:
Comments on "Design of momentum fractional LMS for Hammerstein nonlinear system identification with application to electrically stimulated muscle model". - Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze:
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network. - Jacques Peter, Florent Renac, Clément Labbé:
Analysis of finite-volume discrete adjoint fields for two-dimensional compressible Euler flows. - Aditya Singh, Akram Mohammed, Lokesh K. Chinthala, Rishikesan Kamaleswaran:
Machine learning predicts early onset of fever from continuous physiological data of critically ill patients. - Yurii Kolomoitsev, Tetiana Lomako:
Asymptotics of the Lebesgue constants for bivariate approximation processes. - Arthur J. Parzygnat:
A functorial characterization of von Neumann entropy. - Zhe Xu, Jie Luo, Jiangpeng Yan, Xiu Li, Jagadeesan Jayender:
F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration. - Matthias Christandl, Alexander Müller-Hermes:
Fault-tolerant Coding for Quantum Communication. - Nader Tavaf, Russell Luke Lagore, Steve Jungst, Shajan Gunamony, Jerahmie Radder, Andrea N. Grant, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Gregor Adriany, Pierre-François van de Moortele:
A Self-Decoupled 32 Channel Receive Array for Human Brain Magnetic Resonance Imaging at 10.5T. - Jon Lee, Daphne E. Skipper, Emily Speakman, Luze Xu:
Gaining or Losing Perspective for Piecewise-Linear Under-Estimators of Convex Univariate Functions. - Eric Benhamou, David Saltiel, Jean-Jacques Ohana, Jamal Atif:
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning. - Joshua Becker, Abdullah Almaatouq, Ágnes Horvát:
Network Structures of Collective Intelligence: The Contingent Benefits of Group Discussion. - Luyang Kong, Lifan Chen, Ming Chen, Parminder Bhatia, Laurent Callot:
Improve black-box sequential anomaly detector relevancy with limited user feedback. - Alp Dener, Marco Andres Miller, Randy Michael Churchill, Todd S. Munson, Choong-Seock Chang:
Training neural networks under physical constraints using a stochastic augmented Lagrangian approach. - Zephan M. Enciso, Seyed Hadi Mirfarshbafan, Oscar Castañeda, Clemens J. S. Schaefer, Christoph Studer, Siddharth Joshi:
Analog vs. Digital Spatial Transforms: A Throughput, Power, and Area Comparison. - Jack K. Horner, John F. Symons:
What Have Google's Random Quantum Circuit Simulation Experiments Demonstrated about Quantum Supremacy? - Rashied B. Amini, Abigail Azari, Shyam Bhaskaran, Patricia Beauchamp, Julie C. Castillo-Rogez, Rebecca Castaño, Seung Chung, John C. Day, Richard J. Doyle, Martin Feather, Lorraine M. Fesq, Jeremy Frank, P. Michael Furlong, Michel D. Ingham, Brian M. Kennedy, Ksenia Kolcio, Issa Nesnas, Robert Rasmussen, Glenn Reeves, Cristina Sorice, Bethany Theiling, Jay Wyatt:
Advancing the Scientific Frontier with Increasingly Autonomous Systems. - Gabriel D. Maher, Casey Fleeter, Daniele Schiavazzi, Alison L. Marsden:
Geometric Uncertainty in Patient-Specific Cardiovascular Modeling with Convolutional Dropout Networks. - Krishnamoorthy Dinesh:
Sensitivity-based Data Augmentation for Learning an Approximate Model Predictive Controller. - Mirek Janatka, Hani J. Marcus, Neil L. Dorward, Danail Stoyanov:
Surgical Video Motion Magnification with Suppression of Instrument Artefacts. - Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing:
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images. - Chang Liu, Weijie Yuan, Zhiqiang Wei, Xuemeng Liu, Derrick Wing Kwan Ng:
Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach. - Anisleidy González Mitjans, Deirel Paz-Linares, Ariosky Areces-Gonzalez, Min Li, Y. Wang, Maria L. Bringas-Vega, Pedro A. Valdés-Sosa:
Computational tool to study high dimensional dynamic in NMM. - Huikang Liu, Man-Chung Yue, Anthony Man-Cho So:
A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group. - Johannes Hertrich, Dang Phoung Lan Nguyen, Jean-François Aujol, Dominique Bernard, Yannick Berthoumieu, Abdellativ Sa'adaldin, Gabriele Steidl:
PCA Reduced Gaussian Mixture Models with Applications in Superresolution. - Anupiya Nugaliyadde, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Hamid Laga, Upeka V. Somaratne, Chris Yeomans, Orchid Foster:
RCNN for Region of Interest Detection in Whole Slide Images. - Mina Ghaffari, Arcot Sowmya, Ruth Oliver:
Brain tumour segmentation using cascaded 3D densely-connected U-net. - Lukman Hakim, Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita:
U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image. - Fan Zhang, Di Ma, Chen Feng, David R. Bull:
Video Compression with CNN-based Post Processing. - Alistair W. R. Smith, Johnnie Gray, M. S. Kim:
Efficient Approximate Quantum State Tomography with Basis Dependent Neural-Networks. - Andreas Hauptmann, Ben T. Cox:
Deep Learning in Photoacoustic Tomography: Current approaches and future directions. - Christopher Strohmeier, Hanbaek Lyu, Deanna Needell:
Online nonnegative tensor factorization and CP-dictionary learning for Markovian data. - Ramesh Kolluru, S. V. Raghurama Rao, G. N. Sekhar:
Numerical Simulation of Dense Gases over simple geometries using novel and robust central solvers. - Dan Reznik, Ronaldo Garcia:
Related by Similarity II: Poncelet 3-Periodics in the Homothetic Pair and the Brocard Porism. - Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud:
Verifying Stochastic Hybrid Systems with Temporal Logic Specifications via Model Reduction. - Zhao Wang, Quande Liu, Qi Dou:
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification. - Patrick Ebel, Andrea Meraner, Michael Schmitt, Xiaoxiang Zhu:
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery. - Casper Solheim Bojer, Jens Peder Meldgaard:
Kaggle forecasting competitions: An overlooked learning opportunity. - Hang Yu, Justin Dauwels:
Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models. - Fan Fang, Carmine Ventre, Lingbo Li, Leslie Kanthan, Fan Wu, Michail Basios:
Better Model Selection with a new Definition of Feature Importance. - Diego Kozlowski, Viktoriya Semeshenko, Andrea Molinari:
Latent Dirichlet Allocation Models for World Trade Analysis. - Sepehr Dehdashtian, Matin Hashemi, Saber Salehkaleybar:
Deep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions. - Maxime Langevin, Hervé Minoux, Maximilien Levesque, Marc Bianciotto:
Scaffold-constrained molecular generation. - Pantelimon Stanica, Constanza Riera, Anton Tkachenko:
Characters, Weil sums and c-differential uniformity with an application to the perturbed Gold function. - Basile Herzog, Giuseppe Di Molfetta:
Nonlinear quantum search via coined quantum walks. - Mingyuan Zhang, Harish G. Ramaswamy, Shivani Agarwal:
Convex Calibrated Surrogates for the Multi-Label F-Measure. - Bilgesu Arif Bilgin, Phillip Stanley-Marbell:
Probabilistic Value-Deviation-Bounded Source-Dependent Bit-Level Channel Adaptation for Approximate Communication. - Noga Alon, Colin Defant, Noah Kravitz:
Typical and Extremal Aspects of Friends-and-Strangers Graphs. - Wei Pu, Barak Sober, Nathan Daly, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues:
Image Separation with Side Information: A Connected Auto-Encoders Based Approach. - Brett McLean:
A categorical duality for algebras of partial functions. - Ramakrishna Tipireddy, Nathan Wiebe:
Bayesian phase estimation with adaptive grid refinement. - Bernard Lidický, Tomás Masarík, Kyle Murphy, Shira Zerbib:
On Weak Flexibility in Planar Graphs. - Rishabh Gupta, Qi Zhang:
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization. - Param Hanji, Fangcheng Zhong, Rafal K. Mantiuk:
Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration. - Nicholas J. Sorensen:
Efficiency-optimized design of PCB-integrated magnetorquers for CubeSats. - Hao Wang, Xiao-Yong Yan, Jinshan Wu:
Free utility model for explaining the social gravity law. - Sachiko Kodera, Akimasa Hirata, Fumiaki Miura, Essam A. Rashed, Natsuko Hatsusaka, Naoki Yamamoto, Eri Kubo, Hiroshi Sasaki:
Model-based approach for analyzing prevalence of nuclear cataracts in elderly residents. - Wenda Chen, Jonathan Huang, Mark Hasegawa-Johnson:
Utterance-level Intent Recognition from Keywords. - Jie Ding, Hui Sun, Shenggao Zhou:
Hysteresis and Linear Stability Analysis on Multiple Steady-State Solutions to the Poisson-Nernst-Planck equations with Steric Interactions. - Robert Prentner:
Attracting Sets in Perceptual Networks. - Giorgio Corani, Alessio Benavoli, João P. S. C. Augusto, Marco Zaffalon:
Automatic Forecasting using Gaussian Processes. - Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey. - Antonio Liguori, Romana Markovic, Thi Thu Ha Dam, Jérôme Frisch, Christoph van Treeck, Francesco Causone:
Indoor Environment Data Time-Series Reconstruction Using Autoencoder Neural Networks. - Sukho Song, Dirk-Michael Drotlef, Donghoon Son, Anastasia Koivikko, Metin Sitti:
Suction-based Soft Robotic Gripping of Rough and Irregular Parts. - (Withdrawn) Online Speaker Diarization with Relation Network.
- Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi:
Mean-Variance Analysis in Bayesian Optimization under Uncertainty. - Christoph Reisinger, Wolfgang Stockinger, Yufei Zhang:
Regularity and time discretization of extended mean field control problems: a McKean-Vlasov FBSDE approach. - Baran Ataman, Esin Guldogan:
Single Frame Deblurring with Laplacian Filters. - Santiago Rodrigo, Sergi Abadal, Eduard Alarcón, Carmen G. Almudéver:
Exploring a Double Full-Stack Communications-Enabled Architecture for Multi-Core Quantum Computers. - Fernando G. S. L. Brandão, Richard Kueng, Daniel Stilck França:
Fast and robust quantum state tomography from few basis measurements. - Mengbang Zou, Luca Zanotti Fragonara, Weisi Guo:
Uncertainty Quantification of Multi-Scale Resilience in Nonlinear Complex Networks using Arbitrary Polynomial Chaos. - Jaimit Parikh, James R. Kozloski, Viatcheslav Gurev:
Integration of AI and mechanistic modeling in generative adversarial networks for stochastic inverse problems. - Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Improving in-home appliance identification using fuzzy-neighbors-preserving analysis based QR-decomposition. - Maryam Nazarieh, Volkhard Helms, Marc P. Hoeppner, Andre Franke:
Identification of Biomarkers Controlling Cell Fate In Blood Cell Development. - Pietro Barbiero, Ramón Viñas Torné, Pietro Lió:
Graph representation forecasting of patient's medical conditions: towards a digital twin. - Jeffrey M. Ede:
Review: Deep Learning in Electron Microscopy. - Jose Agustin Barrachina, Chenfang Ren, Christèle Morisseau, Gilles Vieillard, Jean Philippe Ovarlez:
Complex-Valued vs. Real-Valued Neural Networks for Classification Perspectives: An Example on Non-Circular Data. - Zhouyou Gu, Changyang She, Wibowo Hardjawana, Simon Lumb, David McKechnie, Todd Essery, Branka Vucetic:
Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation. - Felix Rempe, Klaus Bogenberger:
Feature Engineering for Data-driven Traffic State Forecast in Urban Road Networks. - Adam Izdebski, Ronald de Wolf:
Improved Quantum Boosting. - Dhawal Buaria, Alain Pumir, Eberhard Bodenschatz:
Self-attenuation of extreme events in Navier-Stokes turbulence. - Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
A Principle of Least Action for the Training of Neural Networks. - Timo C. Wunderlich, Christian Pehle:
EventProp: Backpropagation for Exact Gradients in Spiking Neural Networks. - Katharina Glomb, Joana Cabral, Anna Cattani, Alberto Mazzoni, Ashish Raj, Benedetta Franceschiello:
Computational models in Electroencephalography. - Joscha Diehl, Kurusch Ebrahimi-Fard, Nikolas Tapia:
Tropical time series, iterated-sums signatures and quasisymmetric functions. - Yukiya Hono, Kazuna Tsuboi, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis. - Elchanan Solomon, Alexander Wagner, Paul Bendich:
A Fast and Robust Method for Global Topological Functional Optimization. - François Baccelli, Nithin S. Ramesan:
A computational framework for evaluating the role of mobility on the propagation of epidemics on point processes. - Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao:
Variational Disentanglement for Rare Event Modeling. - Ryo Hayakawa:
Asymptotic Analysis of ADMM for Compressed Sensing. - Blake Wilson:
On the Enumeration of Sweep-Covers and Their Relation to Raney Numbers. - Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke:
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics. - Ronaldo Garcia, Dan Reznik:
Loci of the Brocard Points over Selected Triangle Families. - Saeed Seyyedi, Margaret J. Wong, Debra M. Ikeda, Curtis P. Langlotz:
SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans. - Miaomiao Wang, Abdelhamid Tayebi:
Observers Design for Inertial Navigation Systems: A Brief Tutorial. - Yi Yu, Tao Yang, Hongyang Chen, Rodrigo C. de Lamare, Yingsong Li:
Sparsity-Aware SSAF Algorithm with Individual Weighting Factors for Acoustic Echo Cancellation. - Siyuan Lu, Meiqi Wang, Shuang Liang, Jun Lin, Zhongfeng Wang:
Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer. - Shuyan Wang:
Causal Clustering for 1-Factor Measurement Models on Data with Various Types. - Mario Manzo, Simone Pellino:
Bucket of deep transfer learning features and classification models for melanoma detection. - Stefan Reinhold, Timo Damm, Sebastian Büsse, Stanislav N. Gorb, Claus C. Glüer, Reinhard Koch:
An Analysis by Synthesis Method that Allows Accurate Spatial Modeling of Thickness of Cortical Bone from Clinical QCT. - Yang Liu, Hisashi Kashima:
Chemical Property Prediction Under Experimental Biases. - Xiaoyu He, Jialin Zhang, Xiaoming Sun:
Quantum Search with Prior Knowledge. - Jesse Mulderij, Karen I. Aardal, Irina Chiscop, Frank Phillipson:
A polynomial size model with implicit SWAP gate counting for exact qubit reordering. - Marc Demange, Marcel Adonis Haddad, Cécile Murat:
Hardness and approximation of the Probabilistic p-Center problem under Pressure. - Lorenzo Gaudio, Mari Kobayashi, Giuseppe Caire, Giulio Colavolpe:
Hybrid Digital-Analog Beamforming and MIMO Radar with OTFS Modulation. - Dhananjay Sonawane, Krishna Prasad Miyapuram, Bharatesh RS, Derek J. Lomas:
GuessTheMusic: Song Identification from Electroencephalography response. - Xi Chen, Yu Guan, Jian Qing Shi, Xiu-Li Du, Janet A. Eyre:
Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments. - Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan:
Deep learning denoising for EOG artifacts removal from EEG signals. - Kadierdan Kaheman, Steven L. Brunton, J. Nathan Kutz:
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data. - Subhro Ghosh, Naoto Miyoshi, Tomoyuki Shirai:
Disordered complex networks: energy optimal lattices and persistent homology. - Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis, Eric Bradford, Jose Eduardo Alves Graciano, Benoît Chachuat:
Modifier Adaptation Meets Bayesian Optimization and Derivative-Free Optimization. - Toyohiro Tsurumaru:
Equivalence of three quantum algorithms: Privacy amplification, error correction, and data compression. - Changlu Guo, Márton Szemenyei, Yugen Yi, Wei Zhou, Haodong Bian:
Residual Spatial Attention Network for Retinal Vessel Segmentation. - Hussin K. Ragb, Ian T. Dover, Redha Ali:
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images. - Saddam Hussain Khan, Anabia Sohail, Asifullah Khan, Yeon Soo Lee:
Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks. - Aritra Sarkar, Koen Bertels:
ACSS-q: Algorithmic complexity for short strings via quantum accelerated approach. - Qi Zhao, Zheng Zhao, Xiaoya Fan, Zhengwei Yuan, Qian Mao, Yudong Yao:
Review of Machine-Learning Methods for RNA Secondary Structure Prediction. - Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb:
PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information. - John Augustine, Khalid Hourani, Anisur Rahaman Molla, Gopal Pandurangan, Adi Pasic:
Economy Versus Disease Spread: Reopening Mechanisms for COVID 19. - Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao:
AdderSR: Towards Energy Efficient Image Super-Resolution. - Benjamin Merlin Bumpus, Kitty Meeks, William Pettersson:
Directed branch-width: A directed analogue of tree-width. - Rémy Garnier, Raphaël Langhendries:
Deviation bound for non-causal machine learning. - Yinxi Wang, Kimmo Kartasalo, Masi Valkonen, Christer Larsson, Pekka Ruusuvuori, Johan Hartman, Mattias Rantalainen:
Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer. - Amy B. Z. Zhang, Itai Gurvich:
Low-rank MDP Approximation via Moment Coupling. - Alexander Cloninger, Haotian Li, Naoki Saito:
Natural Graph Wavelet Packet Dictionaries. - Adam Holmes, Anne Y. Matsuura:
Entanglement Properties of Quantum Superpositions of Smooth, Differentiable Functions. - Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao:
FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces. - Srihari Maruthachalam:
Analysis of artifacts in EEG signals for building BCIs. - Juan Carlos Seck Tuoh Mora, Genaro Juárez Martínez, Norberto Hernandez-Romero, Joselito Medina Marín, Irving Barragán-Vite:
On complex dynamics from reversible cellular automata. - Yeejin Lee, Keigo Hirakawa:
Lossless White Balance For Improved Lossless CFA Image and Video Compression. - Christopher Rose, Andrew J. Medford, C. Franklin Goldsmith, Tejs Vegge, Joshua Weitz, Andrew A. Peterson:
Population Susceptibility Variation and Its Effect on Contagion Dynamics. - Siddhartha Datta:
A study into the impact of anti-extradition bill protests on Bangladeshi immigration into Hong Kong. - Athmane Bakhta, Thomas Boiveau, Yvon Maday, Olga Mula:
Epidemiological short-term Forecasting with Model Reduction of Parametric Compartmental Models. Application to the first pandemic wave of COVID-19 in France. - Binyu Tian, Qing Guo, Felix Juefei-Xu, Wen Le Chan, Yupeng Cheng, Xiaohong Li, Xiaofei Xie, Shengchao Qin:
Bias Field Poses a Threat to DNN-based X-Ray Recognition. - Pantelimon Stanica:
Low c-differential and c-boomerang uniformity of the swapped inverse function. - Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras:
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. - Suyeon Choi, Jonghyun Kim, Yifan Peng, Gordon Wetzstein:
Michelson Holography: Dual-SLM Holography with Camera-in-the-loop Optimization. - Tomas Vaskevicius, Nikita Zhivotovskiy:
Suboptimality of Constrained Least Squares and Improvements via Non-Linear Predictors. - David Grant, John D. Massman III, Srimathy Srinivasan:
Differential Codes on Higher Dimensional Varieties Via Grothendieck's Residue Symbol. - Tolson Bell, Suchakree Chueluecha, Lutz Warnke:
Note on Sunflowers. - Chongwen Huang, Zhaohui Yang, George C. Alexandropoulos, Kai Xiong, Li Wei, Chau Yuen, Zhaoyang Zhang:
Hybrid Beamforming for RIS-Empowered Multi-hop Terahertz Communications: A DRL-based Method. - Antoine Baker, Indaco Biazzo, Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta, Alessandro Ingrosso, Florent Krzakala, Fabio Mazza, Marc Mézard, Anna Paola Muntoni, Maria Refinetti, Stefano Sarao Mannelli, Lenka Zdeborová:
Epidemic mitigation by statistical inference from contact tracing data. - Goffredo Chirco, Luigi Malagò, Giovanni Pistone:
Lagrangian and Hamiltonian Mechanics for Probabilities on the Statistical Manifold. - Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu:
COPOD: Copula-Based Outlier Detection. - Zhenyu Liu, Mason del Rosario, Zhi Ding:
A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback. - Zheng Li, Yue Zhao, Jialin Fu:
SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources. - Nesrine Cherif, Wael Jaafar, Halim Yanikomeroglu, Abbas Yongaçoglu:
3D Aerial Highway: The Key Enabler of the Retail Industry Transformation. - Simeon Babatunde, Nirnay Jain, Vishwas Powar:
Long Range Communication on Batteryless Devices. - Juan Carlos Seck Tuoh Mora, Norberto Hernandez-Romero, Joselito Medina Marín, Genaro J. Martínez, Irving Barragán-Vite:
Random Expansion Method for the Generation of Complex Cellular Automata. - Sehwan Kim, Qifan Song, Faming Liang:
Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts. - Alexandre Barbosa de Lima, Maurício Barbosa Camargo De Salles, José Roberto Cardoso:
State-of-Charge Estimation of a Li-Ion Battery using Deep Forward Neural Networks. - Alfredo Braunstein, Thomas Gueudré, Andrea Pagnani, Mirko Pieropan:
Expectation propagation for the diluted Bayesian classifier. - Mufan Sang, Wei Xia, John H. L. Hansen:
Open-set Short Utterance Forensic Speaker Verification using Teacher-Student Network with Explicit Inductive Bias. - Jiabo Ma, Sibo Liu, Shenghua Cheng, Xiuli Liu, Li Cheng, Shaoqun Zeng:
Reconstruct high-resolution multi-focal plane images from a single 2D wide field image. - Sayan Mandal, Sarthak Yadav, Atul Rai:
End-to-End Bengali Speech Recognition. - Teck Kai Chan, Cheng Siong Chin:
Detecting Acoustic Events Using Convolutional Macaron Net. - Berber T. Snoeijer, Mariska Burger, Shaoxiong Sun, Richard J. B. Dobson, Amos A. Folarin:
Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data. - Amin Bahmanian:
Connected Fair Detachments of Hypergraphs. - Lingchao Guo, Zhaoming Lu, Shuang Zhou, Xiangming Wen, Zhihong He:
When Healthcare Meets Off-the-Shelf WiFi: A Non-Wearable and Low-Costs Approach for In-Home Monitoring. - Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken:
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study. - Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro:
DiffWave: A Versatile Diffusion Model for Audio Synthesis. - Lucas O. Teixeira, Rodolfo Miranda Pereira, Diego Bertolini, Luiz S. Oliveira, Loris Nanni, Yandre M. G. Costa:
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images. - Yongchao Huang, Hugh Miles, Pengfei Zhang:
A Sequential Modelling Approach for Indoor Temperature Prediction and Heating Control in Smart Buildings. - Pritish Chandna, Helena Cuesta, Emilia Gómez:
A Deep Learning Based Analysis-Synthesis Framework For Unison Singing. - Martin Burger, Lisa Maria Kreusser, Claudia Totzeck:
Mean-field optimal control for biological pattern formation. - Yefei Chen, Shuai Wang, Yanmin Qian, Kai Yu:
End-to-End Speaker-Dependent Voice Activity Detection. - Abdurakhmon Sadiev, Aleksandr Beznosikov, Pavel E. Dvurechensky, Alexander V. Gasnikov:
Zeroth-Order Algorithms for Smooth Saddle-Point Problems. - Yinglun Zhu, Sumeet Katariya, Robert Nowak:
Robust Outlier Arm Identification. - Adam Sawyer, Seth Frey:
Super-teams or fair leagues? Parity policies by powerful regulators don't prevent capture. - Artur Sokolovsky, Luca Arnaboldi:
Machine Learning Classification of Price Extrema Based on Market Microstructure Features: A Case Study of S&P500 E-mini Futures. - Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav V. Marathe, Srinivasan Venkatramanan, Anil Vullikanti:
Models for COVID-19 Pandemic: A Comparative Analysis. - Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao:
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing. - Jacob D. Biamonte:
On the Theory of Modern Quantum Algorithms. - Hamed Honari, Ann S. Choe, Martin A. Lindquist:
Evaluating phase synchronization methods in fMRI: a comparison study and new approaches. - Ali Al-Bawi, Karrar Ali Al-Kaabi, Mohammed Jeryo, Ahmad Al-Fatlawi:
CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images. - Du Nguyen:
Operator-valued formulas for Riemannian Gradient and Hessian and families of tractable metrics in optimization and machine learning. - Ming Y. Lu, Dehan Kong, Jana Lipková, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood:
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images. - Mohsen Jafarzadeh, Yonas Tadesse:
End-to-End Learning of Speech 2D Feature-Trajectory for Prosthetic Hands. - Paria Jamshid Lou, Mark Johnson:
End-to-End Speech Recognition and Disfluency Removal. - Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey. - Ricardo Baptista, Olivier Zahm, Youssef M. Marzouk:
An adaptive transport framework for joint and conditional density estimation. - K. Aditya Mohan, Dilworth Y. Parkinson, Jefferson A. Cuadra:
Constrained Non-Linear Phase Retrieval for Single Distance X-ray Phase Contrast Tomography. - Yerbolat Khassanov, Saida Mussakhojayeva, Almas Mirzakhmetov, Alen Adiyev, Mukhamet Nurpeiissov, Huseyin Atakan Varol:
A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline. - Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. - Mathieu Roget, Basile Herzog, Giuseppe Di Molfetta:
Control dynamics using quantum memory. - Vincenzo Bonnici, Giuditta Franco, Vincenzo Manca:
A word recurrence based algorithm to extract genomic dictionaries. - Yuanbo Nie, Eric C. Kerrigan:
Solving Dynamic Optimization Problems to a Specified Accuracy: An Alternating Approach using Integrated Residuals. - Shihui Feng, Alec Kirkley:
Online geolocalized emotion across US cities during the COVID crisis: Universality, policy response, and connection with local mobility. - Alejandro R. Martinez:
Classification of COVID-19 in CT Scans using Multi-Source Transfer Learning. - Amin Coja-Oghlan, Philipp Loick, Balázs F. Mezei, Gregory B. Sorkin:
The Ising antiferromagnet and max cut on random regular graphs. - Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi:
Integration of Clinical Criteria into the Training of Deep Models: Application to Glucose Prediction for Diabetic People. - Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. - Andreas Blass, Yuri Gurevich:
Negative probabilities: What they are and what they are for. - M. Amin Bahmanian, Sadegheh Haghshenas:
On Regular Set Systems Containing Regular Subsystems. - Lipei Zhang, Aozhi Liu, Jing Xiao, Paul Taylor:
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation. - TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Geoffrey J. McLachlan:
An l1-oracle inequality for the Lasso in mixture-of-experts regression models. - Alexis Cooper, Xin Zhou, Scott Heidbrink, Daniel M. Dunlavy:
Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models. - Jie Guo, Hao Yan, Chen Zhang, Steven C. H. Hoi:
Partially Observable Online Change Detection via Smooth-Sparse Decomposition. - Daniel Hsu, Vidya Muthukumar, Ji Xu:
On the proliferation of support vectors in high dimensions. - Ananya Jana, Hui Qu, Puru Rattan, Carlos D. Minacapelli, Vinod Rustgi, Dimitris N. Metaxas:
Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data. - Johannes Bausch:
Fast Black-Box Quantum State Preparation. - Julien Fageot, Alireza Fallah, Thibaut Horel:
Entropic Compressibility of Lévy Processes. - Karim Armanious, Sherif Abdulatif, Wenbin Shi, Shashank Salian, Thomas Küstner, Daniel Weiskopf, Tobias Hepp, Sergios Gatidis, Bin Yang:
Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation. - Amirhossein Bayat, Suprosanna Shit, Adrian Kilian, Jürgen T. Liechtenstein, Jan S. Kirschke, Bjoern H. Menze:
Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement. - Irina V. Limonova, Vladimir N. Temlyakov:
On sampling discretization in L2. - Zhengzhong Tu, Jessie Lin, Yilin Wang, Balu Adsumilli, Alan C. Bovik:
Adaptive Debanding Filter. - Sidra Mehtab, Jaydip Sen, Abhishek Dutta:
Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models. - Martin Jaraiz:
Ants, robots, humans: a self-organizing, goal-driven modeling approach. - Jie Wang:
An Intuitive Tutorial to Gaussian Processes Regression. - Ryuta Mizutani, Senta Noguchi, Rino Saiga, Mitsuhiro Miyashita, Makoto Arai, Masanari Itokawa:
Schizophrenia-mimicking layers outperform conventional neural network layers. - Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean I. Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim:
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation. - D. L. Boyda, Maxim N. Chernodub, N. V. Gerasimeniuk, V. A. Goy, S. D. Liubimov, A. V. Molochkov:
Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window. - Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. - Darshana Priyasad, Tharindu Fernando, Simon Denman, Clinton Fookes, Sridha Sridharan:
Attention Driven Fusion for Multi-Modal Emotion Recognition. - Duy M. H. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag:
Attention with Multiple Sources Knowledges for COVID-19 from CT Images. - Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer:
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound. - Wilfried Meidl, Isabel Pirsic:
Bent and Z2k-bent functions from spread-like partitions. - Takashi Akamatsu, Kentaro Wada, Takamasa Iryo, Shunsuke Hayashi:
A new look at departure time choice equilibrium models with heterogeneous users. - Matthew Drescher, Samuel Fiorini, Tony Huynh:
A simple (2+ε)-approximation algorithm for Split Vertex Deletion. - Jeff Borggaard, Lizette Zietsman:
On Approximating Polynomial-Quadratic Regulator Problems. - Megi Isallari, Islem Rekik:
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes. - Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi, Rajesh Ranganath:
Probabilistic Machine Learning for Healthcare. - Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze:
Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging. - Jessica Van Brummelen, Phoebe Lin:
Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 Classrooms. - Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen:
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. - Zeynep Gürler, Ahmed Nebli, Islem Rekik:
Foreseeing Brain Graph Evolution Over Time Using Deep Adversarial Network Normalizer. - Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang:
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks. - Xiao Yang, Weiqing Liu, Dong Zhou, Jiang Bian, Tie-Yan Liu:
Qlib: An AI-oriented Quantitative Investment Platform. - Mohammadali Sharifshazileh, Karla Burelo, Johannes Sarnthein, Giacomo Indiveri:
An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG. - Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Lajos Hanzo:
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing. - Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen:
Learning Mixtures of Low-Rank Models. - Kazuma Tsuji, Taiji Suzuki:
Estimation error analysis of deep learning on the regression problem on the variable exponent Besov space. - Steve Lawford:
Counting five-node subgraphs. - Emmanuel Iarussi, Felix Sebastian Leo Thomsen, Claudio Delrieux:
Generative Modelling of 3D in-silico Spongiosa with Controllable Micro-Structural Parameters. - Raul Salgado-García, Cesar Maldonado:
Estimating entropy rate from censored symbolic time series: a test for time-irreversibility. - Guodong Zhang, Xuchan Bao, Laurent Lessard, Roger B. Grosse:
A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints. - Mohamed Elsayed, Ahmad A. Aziz El-Banna, Octavia A. Dobre, Wanyi Shiu, Peiwei Wang:
Low Complexity Neural Network Structures for Self-Interference Cancellation in Full-Duplex Radio. - Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes:
ADMM-DIPTV: combining Total Variation and Deep Image Prior for image restoration. - Valdimir Pieter:
Parameters for the best convergence of an optimization algorithm On-The-Fly. - Austin Conner, Hang Huang, J. M. Landsberg:
Bad and good news for Strassen's laser method: Border rank of the 3x3 permanent and strict submultiplicativity. - Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad:
FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning. - Daiki Takeuchi, Yuma Koizumi, Yasunori Ohishi, Noboru Harada, Kunio Kashino:
Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning. - Takahiro Inagaki, Kensuke Inaba, Timothée G. Leleu, Toshimori Honjo, Takuya Ikuta, Koji Enbutsu, Takeshi Umeki, Ryoichi Kasahara, Kazuyuki Aihara, Hiroki Takesue:
Collective and synchronous dynamics of photonic spiking neurons. - Scott S. Howard, Grant Barthelmes, Cara Ravasio, Lisa Huang, Benjamin Poag, Varun Mannam:
Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels. - Mohamed-Amine Lahmeri, Mustafa A. Kishk, Mohamed-Slim Alouini:
Machine learning for UAV-Based networks. - Ahmed Nebli, Islem Rekik:
Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping. - Yoshihiko Susuki, Alexandre Mauroy, Igor Mezic:
Koopman Resolvent: A Laplace-Domain Analysis of Nonlinear Autonomous Dynamical Systems. - Sushil Bikhchandani, Debasis Mishra:
Selling Two Identical Objects. - Jie Liu, Jie Tang, Gangshan Wu:
Residual Feature Distillation Network for Lightweight Image Super-Resolution. - Fangshu Yang, Thanh-An Pham, Nathalie Brandenberg, Matthias P. Lütolf, Jianwei Ma, Michael Unser:
Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging. - Emilien Macault, Marco Scarsini, Tristan Tomala:
Bayesian Learning in Dynamic Non-atomic Routing Games. - Shah B. Shrey, Lukman Hakim, Muthu Subash Kavitha, Hae Won Kim, Takio Kurita:
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection. - Agustín G. Bonifacio, Elena Inarra, Pablo Neme:
Non-convergence to stability in coalition formation games. - Ruiyu Xu, Jianguo Wu, Xiaowei Yue, Yongxiang Li:
Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning. - John H. Lagergren, Erica Rutter, Kevin B. Flores:
Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation. - Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan, John Tencer:
A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems. - Andre Beckus, George K. Atia:
Sketch-based community detection in evolving networks. - Nihad Karim Chowdhury, Md. Muhtadir Rahman, Noortaz Rezoana, Muhammad Ashad Kabir:
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays. - Samuel Dooley, John P. Dickerson:
The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers. - Benson Tsz Kin Leung:
Learning in a Small/Big World. - Hao Zhang:
Compressive Spectral Image Classification using 3D Coded Neural Network. - Vasileios Maroulas, Cassie Putman Micucci, Farzana Nasrin:
Bayesian Topological Learning for Classifying the Structure of Biological Networks. - Md. Mohsin Ahmed, S. M. Salauddin Iqbal, Tazrin Jahan Priyanka, Mohammad Arani, Mohsen Momenitabar, Md. Mashum Billal:
An Environmentally Sustainable Closed-Loop Supply Chain Network Design under Uncertainty: Application of Optimization. - Ravi G. Patel, Nathaniel A. Trask, Mitchell A. Wood, Eric C. Cyr:
A physics-informed operator regression framework for extracting data-driven continuum models. - Essam A. Rashed, José Gómez-Tames, Akimasa Hirata:
Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES. - Harsh Purohit, Ryo Tanabe, Takashi Endo, Kaori Suefusa, Yuki Nikaido, Yohei Kawaguchi:
Deep Autoencoding GMM-based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-parameter Optimization. - Song Guo:
DPN: Detail-Preserving Network with High Resolution Representation for Efficient Segmentation of Retinal Vessels. - Andrea Bommert, Jörg Rahnenführer:
Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features. - Jana Cslovjecsek, Romanos-Diogenes Malikiosis, Márton Naszódi, Matthias Schymura:
Computing the covering radius of a polytope with an application to lonely runners. - Hieu T. Nguyen, Tung T. Le, Thang V. Nguyen, Nhan T. Nguyen:
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network. - Komal Malik, Debasis Mishra:
Pareto efficient combinatorial auctions: dichotomous preferences without quasilinearity. - Élie de Panafieu, Sergey Dovgal, Dimbinaina Ralaivaosaona, Vonjy Rasendrahasina, Stephan G. Wagner:
The birth of the strong components. - Joris Tavernier, Jaak Simm, Adam Arany, Karl Meerbergen, Yves Moreau:
Multilevel Gibbs Sampling for Bayesian Regression. - Thomas Pinder, Christopher Nemeth, David Leslie:
Stein Variational Gaussian Processes. - Nattakorn Promwongsa, Amin Ebrahimzadeh, Diala Naboulsi, Somayeh Kianpisheh, Fatna Belqasmi, Roch H. Glitho, Noël Crespi, Omar Alfandi:
A Comprehensive Survey of the Tactile Internet: State of the art and Research Directions. - Juan Carrillo, Mark Crowley:
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions. - Jianyu Cao, Wei Feng, Ning Ge, Jianhua Lu:
Delay Characterization of Mobile Edge Computing for 6G Time-Sensitive Services. - Poornima Kaniarasu, Galen Clark Haynes, Micol Marchetti-Bowick:
Goal-Directed Occupancy Prediction for Lane-Following Actors. - Rawabi A. Aroud, Anas H. Blasi, Mohammed A. Alsuwaiket:
Intelligent Risk Alarm for Asthma Patients using Artificial Neural Networks. - Laura Mora Ballestar, Verónica Vilaplana:
Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation. - Xiaoqiong Huang, Zejian Chen, Xin Yang, Zhendong Liu, Yuxin Zou, Mingyuan Luo, Wufeng Xue, Dong Ni:
Style-invariant Cardiac Image Segmentation with Test-time Augmentation. - Arthur Cruz de Araujo, Ali Etemad:
End-to-End Prediction of Parcel Delivery Time with Deep Learning for Smart-City Applications. - Kar Wai Lim, Bhanushee Sharma, Payel Das, Vijil Chenthamarakshan, Jonathan S. Dordick:
Explaining Chemical Toxicity using Missing Features. - Hüseyin Duysak, Umut Özkaya, Enes Yigit:
Grain Surface Classification via Machine Learning Methods. - Yun Zhao, Franklin Ly, Qinghang Hong, Zhuowei Cheng, Tyler Santander, Henry T. Yang, Paul K. Hansma, Linda R. Petzold:
How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment. - Patrick Lin:
A Note on Toroidal Maxwell-Cremona Correspondences. - Tor Lattimore, András György:
Mirror Descent and the Information Ratio. - Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi:
EEG Channel Interpolation Using Deep Encoder-decoder Netwoks. - Alec Kirkley, George T. Cantwell, M. E. J. Newman:
Message passing for probabilistic models on networks with loops. - John F. Wu, Joshua E. G. Peek:
Predicting galaxy spectra from images with hybrid convolutional neural networks. - Ender Ozturk, Birsen Saka:
Multilayer Minkowski Reflectarray Antenna with Improved Phase Performance. - (Withdrawn) Generate Novel Molecules With Target Properties Using Conditional Generative Models.
- Eduardo M. Vasconcelos, Adriano Gouveia de Souza:
Regressor: A C program for Combinatorial Regressions. - Mads Sloth Vinding, Christoph Stefan Aigner, Sebastian Schmitter, Torben Ellegaard Lund:
DeepControl: 2D RF pulses facilitating B1+ inhomogeneity and B0 off-resonance compensation in vivo at 7T. - Nathan Davidov, Amanda Hernandez, Justin Jian, Patrick McKenna, K. A. Medlin, Roadra Mojumder, Megan Owen, Andrew Quijano, Amanda Rodriguez, Katherine St. John, Katherine Thai, Meliza Uraga:
Covering Tree-Based Phylogenetic Networks. - Aparna Venkatesan, David Begay, Adam J. Burgasser, Isabel Hawkins, Ka'iu Kimura, Nancy Maryboy, Laura Peticolas:
Towards Inclusive Practices with Indigenous Knowledge. - Saeed Ranjbar Alvar, Ivan V. Bajic:
Pareto-Optimal Bit Allocation for Collaborative Intelligence. - Hamdollah Nasrollahi, Kamran Farajzadeh, Vahid Hosseini, Esmaeil Zarezadeh, Milad Abdollahzadeh:
Deep Artifact-Free Residual Network for Single Image Super-Resolution. - Vikash Gupta, Holger Roth, Varun Buch, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Richard D. White, Dong Yang, Olga Laur, Brian B. Ghoshhajra, Ittai Dayan, Daguang Xu, Mona G. Flores, Barbaros Selnur Erdal:
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. - Dong Huo, Yee-Hong Yang:
Blind Image Super-Resolution with Spatial Context Hallucination. - Bruno Henrique Groenner Barbosa, Nan Xu, Hassan Askari, Amir Khajepour:
Lateral Force Prediction using Gaussian Process Regression for Intelligent Tire Systems. - Mohamed Abdelkhalek, Heba Aguib, Mohamed Moustafa, Khalil Elkhodary:
Enhanced 3D Myocardial Strain Estimation from Multi-View 2D CMR Imaging. - Liguo Wang, Maofeng Lin, Elisabetta Tedeschi, Jens Engström, Jan Isberg:
Improving electric power generation of a standalone wave energy converter via optimal electric load control. - Jing Jin, Junhui Hou, Zhiyu Zhu, Jie Chen, Sam Kwong:
Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution. - Enrico Pomarico, Cédric Schmidt, Florian Chays, David Nguyen, Arielle Planchette, Audrey Tissot, Adrien Roux, Stéphane Pagès, Laura Batti, Christoph Clausen, Theo Lasser, Aleksandra Radenovic, Bruno Sanguinetti, Jérôme Extermann:
Quantifying the effect of image compression on supervised learning applications in optical microscopy. - László Csirmaz:
An optimization problem for continuous submodular functions. - Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar:
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. - Nan Du, Jiayu Shang, Yanni Sun:
ProDOMA: improve PROtein DOMAin classification for third-generation sequencing reads using deep learning. - Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul, Michael J. Horry, Subrata Chakraborty, Manas Saha, Tanmoy Debnath, D. M. Motiur Rahaman:
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients. - David Calhas, Rui Henriques:
fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser. - Young-Gon Kim, Kyung Sang Kim, Dufan Wu, Hui Ren, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Mannudeep K. Kalra, Quanzheng Li:
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis. - Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, Gerard J. Gorman:
Lossy Checkpoint Compression in Full Waveform Inversion. - Amitojdeep Singh, J. Jothi Balaji, Varadharajan Jayakumar, Mohammed Abdul Rasheed, Rajiv Raman, Vasudevan Lakshminarayanan:
Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis. - Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti V. Salapaka:
Estimating Linear Dynamical Networks of Cyclostationary Processes. - Benno van den Berg, Eric Faber:
Effective Kan fibrations in simplicial sets. - Lior Gishboliner:
Modifying a Graph's Degree Sequence and the Testablity of Degree Sequence Properties. - Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj:
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images. - L. B. Tyapaev:
Non-Archimedean dynamics of the complex shift. - Gideon Schechtman:
Entropy versus influence for complex functions of modulus one. - Yunlong Feng, Qiang Wu:
A Statistical Learning Assessment of Huber Regression. - Zhuonan He, Yikun Zhang, Yu Guan, Shanzhou Niu, Yi Zhang, Yang Chen, Qiegen Liu:
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model. - Zhenyu Shi, Wei Wei, Xiangnan Feng, Xing Li, Zhiming Zheng:
Dynamic aspiration based on Win-Stay-Lose-Learn rule in Spatial Prisoner's Dilemma Gam. - Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González:
Multi-task Causal Learning with Gaussian Processes. - Adi Hanuka, Claudio Emma, Timothy Maxwell, Alanb S. Fisher, Bryce Jacobson, Marc J. Hogan, Zhirong Huang:
Accurate and confident prediction of electron beam longitudinal properties using spectral virtual diagnostics. - Ben Henghes, Ofer Lahav, David W. Gerdes, E. Lin, Robert Morgan, Timothy M. C. Abbott, Michel Aguena, Sahar Allam, James Annis, Santiago Ávila, Emmanuel Bertin, David D. Brooks, David L. Burke, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Christopher J. Conselice, Matteo Costanzi, Luiz Nicolaci da Costa, J. DeVicente, Shantanu Desai, H. Thomas Diehl, Peter Doel, S. Everett, I. Ferrero, Joshua A. Frieman, Juan García-Bellido, Enrique Gaztañaga, Daniel Gruen, Robert A. Gruendl, Julia Gschwend, G. Gutierrez, William G. Hartley, Samuel R. Hinton, Klaus Honscheid, Ben Hoyle, David J. James, K. Kuehn, Nikolay Kuropatkin, Jennifer L. Marshall, Peter Melchior, Felipe Menanteau, Ramon Miquel, Ricardo Ogando, Antonella Palmese, Francisco Paz-Chinchón, Andreas Alejandro Plazas, Anita K. Römer, Carles Sánchez, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, M. Smith, Marcelle Soares-Santos, Eric Suchyta, Gregory G. Tarlé, C. To, R. D. Wilkinson:
Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects. - Ziyang Wang, Zhengdong Zhang, Irina Voiculescu:
RRA-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels. - Bryar Shareef, Aleksandar Vakanski, Min Xian, Phoebe E. Freer:
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. - Jun Gao, Jie Ding:
Large Deviation Principle for the Whittaker 2d Growth Model. - Yannick Strümpler, Ren Yang, Radu Timofte:
Learning to Improve Image Compression without Changing the Standard Decoder. - Tashin Ahmed, Noor Hossain Nuri Sabab:
Classification and understanding of cloud structures via satellite images with EfficientUNet. - Jean Barbier, Dmitry Panchenko, Manuel Sáenz:
Strong replica symmetry for high-dimensional disordered log-concave Gibbs measures. - Romain Lopez, Inderjit S. Dhillon, Michael I. Jordan:
Learning from eXtreme Bandit Feedback. - Yuhao Zhang, Xiangru Xu:
Finding Trajectories with High Asymptotic Growth Rate for Linear Constrained Switching Systems via a Lift Approach. - Shihao Ju, Yunchou Xing, Ojas Kanhere, Theodore S. Rappaport:
3-D Statistical Indoor Channel Model for Millimeter-Wave and Sub-Terahertz Bands. - Ankit Pensia, Varun S. Jog, Po-Ling Loh:
Robust regression with covariate filtering: Heavy tails and adversarial contamination. - Zhengfeng Ji, Anand Natarajan, Thomas Vidick, John Wright, Henry Yuen:
Quantum soundness of the classical low individual degree test. - Lintao Ye, Shreyas Sundaram:
Distributed Maximization of Submodular and Approximately Submodular Functions. - Dandan Guo, Bo Chen, Wenchao Chen, Chaojie Wang, Hongwei Liu, Mingyuan Zhou:
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition. - Heng Pan:
Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network. - Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra:
Escaping Saddle-Points Faster under Interpolation-like Conditions. - Hong Zhao:
Inferring Global Dynamics Using a Learning Machine. - Yudong Chen, Xumei Xi:
Likelihood Landscape and Local Minima Structures of Gaussian Mixture Models. - Daniël Reijsbergen, Stephen Gilmore:
A spatial algorithm for the analysis of transportation systems using statistical model checking. - Ajit Mahata, Anish Rai, Om Prakash, Md Nurujjaman:
Modeling and analysis of the effect of COVID-19 on the stock price: V and L-shape recovery. - Jeongho Kim, Insoon Yang:
Hamilton-Jacobi-Bellman Equations for Maximum Entropy Optimal Control. - Sulagna Dasgupta, Debasis Mishra:
Ordinal Bayesian incentive compatibility in random assignment model. - Tao Lei, Risheng Wang, Yong Wan, Xiaogang Du, Hongying Meng, Asoke K. Nandi:
Medical Image Segmentation Using Deep Learning: A Survey. - Jie Yang, Jing Xu, Xiao Li, Shi Jin, Bo Gao:
Integrated Communication and Localization in mmWave Systems. - Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Kensaku Mori:
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. - Maria Kleshnina, K. Kaveh, K. Chatterjee:
The role of behavioural plasticity in finite vs infinite populations. - Luis Badesa, Fei Teng, Goran Strbac:
Conditions for Regional Frequency Stability in Power Systems - Part I: Theory. - Luis Badesa, Fei Teng, Goran Strbac:
Conditions for Regional Frequency Stability in Power Systems - Part II: Applications. - Ferhat Yarkin, Justin P. Coon:
Index and Composition Modulation. - Ahmed Nebli, Ugur Ali Kaplan, Islem Rekik:
Deep EvoGraphNet Architecture For Time-Dependent Brain Graph Data Synthesis From a Single Timepoint. - Fabrice Guillemin, Alain Simonian, Ridha Nasri, Verónica Quintuna Rodriguez:
On the sojourn time of a batch in the M[X]/M/1 Processor Sharing Queue. - Tariq Mahmood Khan, Antonio Robles-Kelly:
A Derivative-free Method for Quantum Perceptron Training in Multi-layered Neural Networks. - Deniz Gündüz, David Burth Kurka, Mikolaj Jankowski, Mohammad Mohammadi Amiri, Emre Ozfatura, Sreejith Sreekumar:
Communicate to Learn at the Edge. - Josimar Edinson Chire Saire, Esteban Wilfredo Vilca Zuñiga:
Characterization of Covid-19 Dataset using Complex Networks and Image Processing. - Conor C. Horgan, Magnus Jensen, Anika Nagelkerke, Jean-Phillipe St-Pierre, Tom Vercauteren, Molly M. Stevens, Mads S. Bergholt:
High-throughput molecular imaging via deep learning enabled Raman spectroscopy. - Pierre Aboulker, Pierre Charbit, Reza Naserasr:
Extension of Gyarfas-Sumner conjecture to digraphs. - Philippe M. Burlina, William Paul, Phil A. Mathew, Neil J. Joshi, Alison W. Rebman, John N. Aucott:
AI Progress in Skin Lesion Analysis. - Ahmet Faruk Saz, Sinan Gezici:
Database Assisted Nonlinear Least Squares Algorithm for Visible Light Positioning in NLOS Environments. - Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek:
Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring. - Sana Yasin, Syed Asad Hussain, Sinem Aslan, Imran Raza, Muhammad Muzammel, Alice Othmani:
Neural Networks based approaches for Major Depressive Disorder and Bipolar Disorder Diagnosis using EEG signals: A review. - Aymen Al Marjani, Alexandre Proutière:
Best Policy Identification in discounted MDPs: Problem-specific Sample Complexity. - Juntao Huang, Zhiting Ma, Yizhou Zhou, Wen-An Yong:
Learning Interpretable and Thermodynamically Stable Partial Differential Equations. - Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders. - Matthew James Vowels, Necati Cihan Camgöz, Richard Bowden:
Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation. - Amirhossein Hajavi, Ali Etemad:
Siamese Capsule Network for End-to-End Speaker Recognition In The Wild. - Weinan E, Stephan Wojtowytsch:
A priori estimates for classification problems using neural networks. - Vikash Gupta, Clayton Taylor, Sarah Bonnet, Luciano M. Prevedello, Jeffrey Hawley, Richard D. White, Mona G. Flores, Barbaros Selnur Erdal:
Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application. - Chuanbo Wang, Ye Guo, Wei Chen, Zeyun Yu:
Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net. - Kasun Chandrarathna, Arman Edalati, AhmadReza Fourozan tabar:
Forecasting Short-term load using Econometrics time series model with T-student Distribution. - Anastasia S. Bizyaeva, Ayanna Matthews, Alessio Franci, Naomi Ehrich Leonard:
Patterns of Nonlinear Opinion Formation on Networks. - Milad Abdollahzadeh, Touba Malekzadeh, Hadi Seyedarabi:
Multi-focus Image Fusion for Visual Sensor Networks. - Zeyu Fu, Yang Sun, Xiangyu Zhang, Scott Stainton, Shaun Barney, Jeffry Hogg, William Innes, Satnam Singh Dlay:
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images. - Christian Sampson, Alberto Carrassi, Ali Aydogdu, Christopher K. R. T. Jones:
Ensemble Kalman Filter for non-conservative moving mesh solvers with a joint physics and mesh location update. - Rafael Prieto Curiel, Humberto González Ramírez:
Vaccination strategies against COVID-19 and the diffusion of anti-vaccination views. - Fahad Al-homayani, Mohammad H. Mahoor:
Deep Learning-based Symbolic Indoor Positioning using the Serving eNodeB. - Ryo Hayakawa:
Noise Variance Estimation Using Asymptotic Residual in Compressed Sensing. - Aayush Surana, Yash Goyal, Vinoo Alluri:
Static and Dynamic Measures of Active Music Listening as Indicators of Depression Risk. - Yuteng Zhu, Graham D. Finlayson:
Mathematical derivation for Vora-Value based filter design method: Gradient and Hessian. - Ping Lang, Xiongjun Fu, Marco Martorella, Jian Dong, Rui Qin, Xianpeng Meng, Min Xie:
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing. - Franco Matzkin, Virginia F. J. Newcombe, Ben Glocker, Enzo Ferrante:
Cranial Implant Design via Virtual Craniectomy with Shape Priors. - Ting-Jui Chang, Shahin Shahrampour:
Distributed Online Linear Quadratic Control for Linear Time-invariant Systems. - Lina Ba, Heping Zhang:
The star-structure connectivity and star-substructure connectivity of hypercubes and folded hypercubes. - Shreeshrita Patnaik, Paul Barford, Dante Fratta, Bill Jensen, Neal Lord, Matthew Malloy, Herb Wang:
Internet Photonic Sensing: Using Internet Fiber Optics for Vibration Measurement and Monitoring. - Naoto Masuzawa, Yoshiro Kitamura, Keigo Nakamura, Satoshi Iizuka, Edgar Simo-Serra:
Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks. - Benjamin Golub, Stephen Morris:
Expectations, Networks, and Conventions. - Jaskaran Singh Grover, Changliu Liu, Katia P. Sycara:
Parameter Identification for Multirobot Systems Using Optimization Based Controllers (Extended Version). - Alec Kirkley:
An information theoretic network approach to socioeconomic correlations. - Milos Simic:
Testing for Normality with Neural Networks. - Seamus Anderson, Martin C. Towner, Phil A. Bland, Christopher Haikings, William Volante, Eleanor K. Sansom, Hadrien A. R. Devillepoix, Patrick Shober, Benjamin Hartig, Martin Cupak, Trent Jansen-Sturgeon, Robert M. Howie, Gretchen K. Benedix, Geoff Deacon:
Machine Learning for Semi-Automated Meteorite Recovery. - Zhuojun Tian, Zhaoyang Zhang, Jue Wang, Xiaoming Chen, Wei Wang, Huaiyu Dai:
Distributed ADMM with Synergetic Communication and Computation. - Andrea Coladangelo, Christian Majenz, Alexander Poremba:
Quantum copy-protection of compute-and-compare programs in the quantum random oracle model. - Stephan Eckstein:
Lipschitz neural networks are dense in the set of all Lipschitz functions. - Burak Soner, Sinem Coleri:
Visible Light Communication based Vehicle Localization and Pose Estimation. - (Withdrawn) Online Action Learning in High Dimensions: A New Exploration Rule for Contextual εt-Greedy Heuristics.
- Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov:
Deep Image Reconstruction using Unregistered Measurements without Groundtruth. - Özgecan Özdogan, Emil Björnson:
Deep Learning-based Phase Reconfiguration for Intelligent Reflecting Surfaces. - Christian Beck, Arnulf Jentzen, Thomas Kruse:
Nonlinear Monte Carlo methods with polynomial runtime for high-dimensional iterated nested expectations. - Duong Thanh Pham, Thanh Tran:
A parabolic equation on domains with random boundaries. - Calvin Tsay, Yanan Cao, Yajun Wang, Jesus Flores-Cerrillo, Michael Baldea:
Identification and online updating of dynamic models for demand response of an industrial air separation unit. - Jingqin Gao, Abhinav Bhattacharyya, Ding Wang, Nick Hudanich, Siva Sooryaa, Muruga Thambiran, Suzana Duran Bernardes, Chaekuk Na, Fan Zuo, Zilin Bian, Kaan Ozbay, Shri Iyer, Hani Nassif, Joseph Y. J. Chow:
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles. - Felix Meister, Tiziano Passerini, Chloé Audigier, Èric Lluch, Viorel Mihalef, Hiroshi Ashikaga, Andreas K. Maier, Henry R. Halperin, Tommaso Mansi:
Graph convolutional regression of cardiac depolarization from sparse endocardial maps. - Yohei Kono, Yoshihiko Susuki, Takashi Hikihara:
Characterizing scale dependence of effective diffusion driven by fluid flows. - Meixu Chen, Todd Goodall, Anjul Patney, Alan C. Bovik:
Learning to Compress Videos without Computing Motion. - Cyrille W. Combettes, Christoph Spiegel, Sebastian Pokutta:
Projection-Free Adaptive Gradients for Large-Scale Optimization. - Eric Benhamou, David Saltiel, Sandrine Ungari, Abhishek Mukhopadhyay:
Time your hedge with Deep Reinforcement Learning. - Hee Soo Heo, Bong-Jin Lee, Jaesung Huh, Joon Son Chung:
Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020. - Amir Shahmoradi, Fatemeh Bagheri:
ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran. - Pingchuan Ma, Yujiang Wang, Jie Shen, Stavros Petridis, Maja Pantic:
Lip-reading with Densely Connected Temporal Convolutional Networks. - Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst:
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. - Matthew Deakin, David M. Greenwood, Sara Walker, Philip C. Taylor:
Hybrid European MV-LV Network Models for Smart Distribution Network Modelling. - Advait Madhavan, Matthew W. Daniels, Mark D. Stiles:
Temporal State Machines: Using temporal memory to stitch time-based graph computations. - Parisa Abdolrahim Poorheravi, Benyamin Ghojogh, Vincent C. Gaudet, Fakhri Karray, Mark Crowley:
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling. - Seongmin Lee, Hyunsik Jeon, U Kang:
Ensemble Multi-Source Domain Adaptation with Pseudolabels. - Yunlong Feng, Qiang Wu:
A Framework of Learning Through Empirical Gain Maximization. - Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang:
Finite-Time Analysis for Double Q-learning. - Abeba Birhane, Olivia Guest:
Towards decolonising computational sciences. - Peter A. Jansen:
Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions. - Nicholas Halliwell, Freddy Lécué:
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach. - Dincy Davis, Reena Murali, Remesh Babu:
Abusive Language Detection and Characterization of Twitter Behavior. - Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang:
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text. - Samreen Anjum, Chi Lin, Danna Gurari:
CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos. - Alexander Scarlatos:
Sonispace: a simulated-space interface for sound design and experimentation. - Sravan Pannala, Puneet Valecha, Peyman Mohtat, Jason B. Siegel, Anna G. Stefanopoulou:
Improved Battery State Estimation Under Parameter Uncertainty Caused by Aging Using Expansion Measurements. - Rasmus E. Christiansen, Ole Sigmund:
A 200 Line MATLAB Code for Inverse Design in Photonics by Topology Optimization. - Logan E. Beaver, Andreas A. Malikopoulos:
An Overview on Optimal Flocking. - Sonja Tilly, Markus Ebner, Giacomo Livan:
Macroeconomic forecasting through news, emotions and narrative. - Gaganjeet Reen, Manasi Mohandas, S. Venkatesan:
Decentralized Patient Centric e-Health Record Management System using Blockchain and IPFS. - Jeet Yadav, Tushar Goyal:
Investigation of Instabilities in Detumbling Algorithms. - Xing Wang, Alexander Vinel:
Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network. - Saurabh Kulshreshtha, José Luis Redondo García, Ching-Yun Chang:
Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study. - Shirley Anugrah Hayati, Dongyeop Kang, Qingxiaoyang Zhu, Weiyan Shi, Zhou Yu:
INSPIRED: Toward Sociable Recommendation Dialog Systems. - Stephan Teichtmeister, Marc-André Keip:
A Variational Framework for the Thermomechanics of Gradient-Extended Dissipative Solids - with Applications to Diffusion, Damage and Plasticity. - Nan Ding, Xinjie Fan, Zhenzhong Lan, Dale Schuurmans, Radu Soricut:
Attention that does not Explain Away. - Dong Quan Ngoc Nguyen, Lin Xing, Lizhen Lin:
Weight Prediction for Variants of Weighted Directed Networks. - Jonatas Santos de Souza, Jair Minoro Abe, Luiz Antônio de Lima, Nilson A. de Souza:
The General Law Principles for Protection the Personal Data and their Importance. - Sergey Goncharov, Renato Neves, José Proença:
Implementing Hybrid Semantics: From Functional to Imperative. - Bappaditya Debnath, Mary O'Brien, Swagat Kumar, Ardhendu Behera:
Attention-Driven Body Pose Encoding for Human Activity Recognition. - Ha Dao, Kensuke Fukuda:
A machine learning approach for detecting CNAME cloaking-based tracking on the Web. - Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Direct Multi-hop Attention based Graph Neural Network. - Zewei Chu, Karl Stratos, Kevin Gimpel:
Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets. - Sualeh Asif, Michael J. Coulombe, Erik D. Demaine, Martin L. Demaine, Adam Hesterberg, Jayson Lynch, Mihir Singhal:
Tetris is NP-hard even with $O(1)$ rows or columns. - Guangmo Tong:
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks. - Abhishek Sharma, Maks Ovsjanikov:
Geometric Matrix Completion: A Functional View. - Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li:
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension. - Liangkai Liu, Sidi Lu, Ren Zhong, Baofu Wu, Yongtao Yao, Qingyang Zhang, Weisong Shi:
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges. - Xiangxi Shi, Xu Yang, Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai:
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning. - Pankaj K. Agarwal, Hsien-Chih Chang, Kamesh Munagala, Erin Taylor, Emo Welzl:
Clustering under Perturbation Stability in Near-Linear Time. - Angus Addlesee, Pierre Albert:
Ethically Collecting Multi-Modal Spontaneous Conversations with People that have Cognitive Impairments. - Yash Vardhan Pant, He Yin, Murat Arcak, Sanjit A. Seshia:
Co-design of Control and Planning for Multi-rotor UAVs with Signal Temporal Logic Specifications. - Mojtaba Mozaffar, Ablodghani Ebrahimi, Jian Cao:
Toolpath design for additive manufacturing using deep reinforcement learning. - Chien-Hsun Lai, Yu-Shuen Wang:
Facilitate the Parametric Dimension Reduction by Gradient Clipping. - John Thickstun, Jennifer Brennan, Harsh Verma:
Rethinking Evaluation Methodology for Audio-to-Score Alignment. - Olga Vechtomova, Gaurav Sahu, Dhruv Kumar:
Generation of lyrics lines conditioned on music audio clips. - Ahmadreza Mosallanezhad, Yasin N. Silva, Michelle V. Mancenido, Huan Liu:
Toward Privacy and Utility Preserving Image Representation. - Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong:
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators. - B. Mansurov, A. Mansurov:
Development of Word Embeddings for Uzbek Language. - Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee:
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers. - Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Yinghui Huang, Kartik Audhkhasi, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory, Luis A. Lastras:
End-to-End Spoken Language Understanding Without Full Transcripts. - Ahmed Roushdy Elkordy, Amir Salman Avestimehr:
Secure Aggregation with Heterogeneous Quantization in Federated Learning. - Liang Du, Haiying Zhang, Xin Ren, Xiaolin Lv:
Manifold Adaptive Multiple Kernel K-Means for Clustering. - Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore:
Multiple Word Embeddings for Increased Diversity of Representation. - Shamil Chollampatt, Raymond Hendy Susanto, Liling Tan, Ewa Szymanska:
Can Automatic Post-Editing Improve NMT? - Yiqing Huang, Jiansheng Chen:
Teacher-Critical Training Strategies for Image Captioning. - Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang:
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification. - Yoonjae Lee, Efstathios Bakolas:
Relay Pursuit of an Evader by a Heterogeneous Group of Pursuers Using Potential Games. - Hyun Dong Lee, Seongmin Lee, U Kang:
AUBER: Automated BERT Regularization. - Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun:
Pruning Filter in Filter. - Viresh Ranjan, Boyu Wang, Mubarak Shah, Minh Hoai:
Uncertainty Estimation and Sample Selection for Crowd Counting. - Dongjie Zhu, Haiwen Du, Yundong Sun, Zhaoshuo Tian:
CTDGM: A Data Grouping Model Based on Cache Transaction for Unstructured Data Storage Systems. - Qi Qian, Hao Li, Juhua Hu:
Efficient Kernel Transfer in Knowledge Distillation. - Bin Zhang, Shengjie Zhao, Rongqing Zhang:
Towards Adaptive Semantic Segmentation by Progressive Feature Refinement. - Daniel H. Lee, Tzyy-Ping Jung:
A Virtual Reality Game as a Tool to Assess Physiological Correlations of Stress. - Yonghwan Kim, Yoshiaki Katayama, Koichi Wada:
Pairbot: A Novel Model for Autonomous Mobile Robot Systems Consisting of Paired Robots. - Xuan Li, Miao Jin:
A General Framework for Charger Scheduling Optimization Problems. - Joaquín Arias, Manuel Carro:
A Theoretical Study of (Full) Tabled Constraint Logic Programming. - Rabiul Hasan Kabir, Kooktae Lee:
Efficient, Decentralized, and Collaborative Multi-Robot Exploration using Optimal Transport Theory. - Camille Coti, David Monniaux, Hang Yu:
A task-based approach to parallel parametric linear programming solving, and application to polyhedral computations. - Jianjun Yuan:
Online Convex Optimization in Changing Environments and its Application to Resource Allocation. - Udi Boker, Denis Kuperberg, Karoliina Lehtinen, Michal Skrzypczak:
On the Succinctness of Alternating Parity Good-for-Games Automata. - Mohammad Moltafet, Markus Leinonen, Marian Codreanu:
Moment Generating Function of the AoI in Multi-Source Systems With Packet Management. - Darshan Gera, S. Balasubramanian:
Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information. - Shay Deutsch, Stefano Soatto:
Spectral Embedding of Graph Networks. - Sébastien Bubeck, Yuanzhi Li, Dheeraj Nagaraj:
A law of robustness for two-layers neural networks. - Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi:
Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding. - Anousheh Gholami, Nariman Torkzaban, John S. Baras, Chrysa Papagianni:
Joint Mobility-Aware UAV Placement and Routing in Multi-Hop UAV Relaying Systems. - Xichen Shi, Michael O'Connell, Soon-Jo Chung:
Numerical Predictive Control for Delay Compensation. - Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Conformance Checking over Uncertain Event Data. - Weihao Tan, Devdhar Patel, Robert Kozma:
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. - Subhojeet Pramanik, Shashank Mujumdar, Hima Patel:
Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning. - Thomas Navidi, Chloe Leblanc, Abbas El Gamal, Ram Rajagopal:
DER Information Unaware Coordination via Day-ahead Dynamic Power Bounds. - Reda Khalaf, Mireille Makary:
LEBANONUPRISING: a thorough study of Lebanese tweets. - Grigorii Guz, Peyman Bateni, Darius Muglich, Giuseppe Carenini:
Neural RST-based Evaluation of Discourse Coherence. - Laura E. Matzen, Kristin Divis, Deborah Cronin, Michael Haass:
Task Matters When Scanning Data Visualizations. - Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Georgios A. Pavlopoulos, Ariful Azad, Aydin Buluç:
Distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices. - Tianyue Lu, Haiyang Pan, Mingyu Chen:
System measurement of Intel AEP Optane DIMM. - Justin K. Terry, Benjamin Black, Ananth Hari, Luis S. Santos, Clemens Dieffendahl, Niall L. Williams, Yashas Lokesh, Caroline Horsch, Praveen Ravi:
PettingZoo: Gym for Multi-Agent Reinforcement Learning. - Yiran Wang, Eric T. Chung, Lina Zhao:
Constraint energy minimization generalized multiscale finite element method in mixed formulation for parabolic equations. - Mark de Berg, Aleksandar Markovic, Seeun William Umboh:
The Online Broadcast Range-Assignment Problem. - Qiang Dong, Shuang-Shuang Xie, Xiaofan Yang, Yuan Yan Tang:
User-item matching for recommendation fairness: a view from item-providers. - Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser:
A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs. - Andrea Lincoln, Adam Polak, Virginia Vassilevska Williams:
Monochromatic Triangles, Intermediate Matrix Products, and Convolutions. - Rongjiang Nie, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, Xianbin Wang:
Impact and Calibration of Nonlinear Reciprocity Mismatch in Massive MIMO. - Arash Akbarinia, Raquel Gil Rodríguez, Alban Flachot, Matteo Toscani:
The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders. - Leonardo Colombo, Patricio Moreno, Mengbin Ye, Héctor García de Marina, Ming Cao:
Forced variational integrator for distance-based shape control with flocking behavior of multi-agent systems. - Anton I. Glushchenko, Vladislav A. Petrov, Konstantin A. Lastochkin:
Robust method to provide exponential convergence of model parameters solving LTI plant identification problem. - Md. Delowar Hossain, Muhammad Ashad Kabir, Adnan Anwar, Md Zahidul Islam:
Detecting Autism Spectrum Disorder using Machine Learning. - Chao Wang, Zan Li, Xianggen Xia, Jia Shi, Jiangbo Si, Yulong Zou:
Physical Layer Security Enhancement Using Artificial Noise in Cellular Vehicle-to-Everything (C-V2X) Networks. - Ruishuang Liu, Weiwei Wan, Keisuke Koyama, Kensuke Harada:
Multi-Pen Robust Robotic 3D Drawing Using Closed-Loop Planning. - Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung:
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks. - Pratik Joshi, Somak Aditya, Aalok Sathe, Monojit Choudhury:
TaxiNLI: Taking a Ride up the NLU Hill. - Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr:
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. - Feilong Zhang:
Discussions on Inverse Kinematics based on Levenberg-Marquardt Method and Model-Free Adaptive (Predictive) Control. - Qiaoyun Wu, Xiaoxi Gong, Kai Xu, Dinesh Manocha, Jingxuan Dong, Jun Wang:
Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning. - Zihan Liu, Genta Indra Winata, Peng Xu, Zhaojiang Lin, Pascale Fung:
Cross-lingual Spoken Language Understanding with Regularized Representation Alignment. - Prashant Goswami, Christopher Batty:
Asynchronous Liquids: Regional Time Stepping for Faster SPH and PCISPH. - Kuno Kurzhals, Michael Burch, Daniel Weiskopf:
What We See and What We Get from Visualization: Eye Tracking Beyond Gaze Distributions and Scanpaths. - Narjes Torabi, Nimar S. Arora, Emma Yu, Kinjal Divesh Shah, Wenshun Liu, Michael Tingley:
Uncertainty Estimation For Community Standards Violation In Online Social Networks. - David Milec, Jakub Cerný, Viliam Lisý, Bo An:
Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games. - Deniz Beker, Hiroharu Kato, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon:
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection. - Piyush Yadav, Edward Curry:
Visual Semantic Multimedia Event Model for Complex Event Detection in Video Streams. - Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard:
Asymmetric Contextual Modulation for Infrared Small Target Detection. - Sinuo Liu, Xiaokun Wang, Xiaojuan Ban, Yanrui Xu, Jing Zhou, Jirí Kosinka, Alexandru C. Telea:
Turbulent Details Simulation for SPH Fluids via Vorticity Refinement. - Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Explainable Natural Language Reasoning via Conceptual Unification. - C. Aiswarya, Paul Gastin:
Weighted Tiling Systems for Graphs: Evaluation Complexity. - Nikolai Huckle, Noa Garcia, Yuta Nakashima:
Demographic Influences on Contemporary Art with Unsupervised Style Embeddings. - Lei He, Nabil Aouf, Bifeng Song:
Explainable Deep Reinforcement Learning for UAV Autonomous Navigation. - Alexander Mathiasen, Frederik Hvilshøj:
One Reflection Suffice. - Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson:
Learning Object Detection from Captions via Textual Scene Attributes. - Sijin Kim, Namhyuk Ahn, Kyung-Ah Sohn:
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network. - Karl B. Hoffmann, Ivo F. Sbalzarini:
A robustness measure for singular point and index estimation in discretized orientation and vector fields. - Stein K. F. Stoter, Marco F. P. ten Eikelder, Frits de Prenter, Ido Akkerman, E. Harald van Brummelen, Clemens V. Verhoosel, Dominik Schillinger:
Unification of variational multiscale analysis and Nitsche's method, and a resulting boundary layer fine-scale model. - Delilah Donick, Sandro Claudio Lera:
Uncovering Feature Interdependencies with Non-Greedy Random Forests. - Takato Yasuno, Akira Ishii, Masazumi Amakata:
Rain Code : Forecasting Spatiotemporal Precipitation based on Multi-frames Feature using ConvLSTM. - Robin Piedeleu, Fabio Zanasi:
A String Diagrammatic Axiomatisation of Finite-State Automata. - Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text. - Lorenzo De Stefani:
Communication-Optimal Parallel Standard and Karatsuba Integer Multiplication in the Distributed Memory Model. - Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales, Pietro Liò:
The Role of Isomorphism Classes in Multi-Relational Datasets. - Weinan E:
Machine Learning and Computational Mathematics. - Orestis Zachariadis, Nitin Satpute, Juan Gómez-Luna, Joaquín Olivares:
Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores. - Katharina Rombach, Gabriel Michau, Olga Fink:
Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data. - Lance Eliot:
Legal Judgment Prediction (LJP) Amid the Advent of Autonomous AI Legal Reasoning. - Jing Ren, Mikhail Panine, Peter Wonka, Maks Ovsjanikov:
Structured Regularization of Functional Map Computations. - Fabio Bobrow, Bruno A. Angelico, Paulo S. P. da Silva:
The Cubli: Modeling and Nonlinear Control Utilizing Unit Complex Numbers. - Fabio Bobrow, Bruno A. Angelico, Flavius Portella Ribas Martins:
The Cubli: Modeling Utilizing Quaternions. - Xiaorong Hu, Chenguang Zhao, Gang Wang:
A Traffic Light Dynamic Control Algorithm with Deep Reinforcement Learning Based on GNN Prediction. - Simon Belieres, Mike Hewitt, Nicolas Jozefowiez, Frédéric Semet:
Meta Partial Benders Decomposition for the Logistics Service Network Design Problem. - Kourosh Meshgi, Maryam Sadat Mirzaei:
Adversarial Semi-Supervised Multi-Domain Tracking. - Okan Köpüklü, Stefan Hörmann, Fabian Herzog, Hakan Cevikalp, Gerhard Rigoll:
Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing. - Gijs van den Oord, Victor Azizi, Alessio Sclocco, Georges-Emmanuel Moulard, David Guibert, Jisk Attema, Erwan Raffin, Ben van Werkhoven:
ESiWACE2 Services: RSE collaborations in Weather and Climate. - Pier Carlo Berri, Matteo D. L. Dalla Vedova, Laura Mainini:
Computational framework for real-time diagnostics and prognostics of aircraft actuation systems. - Youri Xu, Haihong E, Meina Song:
RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion. - Jiaoyan Chen, Pan Hu, Ernesto Jiménez-Ruiz, Ole Magnus Holter, Denvar Antonyrajah, Ian Horrocks:
OWL2Vec*: Embedding of OWL Ontologies. - Hongfei Xu, Qiuhui Liu:
Learning Hard Retrieval Cross Attention for Transformer. - Okan Köpüklü, Jiapeng Zheng, Hang Xu, Gerhard Rigoll:
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach. - Tong Yu, Nicolas Padoy:
Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval. - Jiqian Dong, Sikai Chen, Yujie Li, Runjia Du, Aaron Steinfeld, Samuel Labi:
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control. - Thanh Tung Khuat, Bogdan Gabrys:
An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data. - Neta Barkay, Curtiss Cobb, Roee Eilat, Tal Galili, Daniel Haimovich, Sarah LaRocca, Katherine Morris, Tal Sarig:
Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook. - Karsten Wüllems, Tim W. Nattkemper:
SoRC - Evaluation of Computational Molecular Co-Localization Analysis in Mass Spectrometry Images. - Júlia Borràs Sol, Guillem Alenyà, Carme Torras:
Encoding cloth manipulations using a graph of states and transitions. - Aya Zaki-Ismail, Mohamed Osama, Mohamed Abdelrazek, John Grundy, Amani S. Ibrahim:
RCM: Requirement Capturing Model for Automated Requirements Formalisation. - Ricardo Sanchez-Matilla, Andrea Cavallaro:
Benchmark for Anonymous Video Analytics. - Ömer Faruk Irmak, Arda Yurdakul:
An Embedded RISC-V Core with Fast Modular Multiplication. - Carlos Perales-González:
Global convergence of Negative Correlation Extreme Learning Machine. - Ryoji Tanabe, Hisao Ishibuchi:
A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms. - Andrew Hryniowski, Xiao Yu Wang, Alexander Wong:
Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities. - Vincent Gripon, Matthias Löwe, Franck Vermet:
Some Remarks on Replicated Simulated Annealing. - Tiancong Wang, James Tuck:
Persistent Data Retention Models. - Mel Vecerík, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Christopher Schuster, Raia Hadsell, Lourdes Agapito, Jonathan Scholz:
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency. - Mathis Hoffmann, Claudia Buerhop-Lutz, Luca Reeb, Tobias Pickel, Thilo Winkler, Bernd Doll, Tobias Würfl, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein:
Deep Learning-based Pipeline for Module Power Prediction from EL Measurements. - Tobias Kies, Carsten Gräser, Luigi Delle Site, Ralf Kornhuber:
Free energy computation of particles with membrane-mediated interactions via Langevin dynamics. - Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths:
Learning Rewards from Linguistic Feedback. - Viktor Fredslund-Hansen, Shay Mozes, Christian Wulff-Nilsen:
Truly Subquadratic Exact Distance Oracles with Constant Query Time for Planar Graphs. - Ryoji Tanabe, Hisao Ishibuchi:
Non-elitist Evolutionary Multi-objective Optimizers Revisited. - Marc J. van Kreveld, Tillmann Miltzow, Tim Ophelders, Willem Sonke, Jordi L. Vermeulen:
Between Shapes, Using the Hausdorff Distance. - Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li:
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. - Mohamed Abbas Hedjazi, Yakup Genç:
Texture-aware Multi-resolution Image Inpainting. - Guoqing Luo, Jiaxin Pan, Min Peng:
RDSGAN: Rank-based Distant Supervision Relation Extraction with Generative Adversarial Framework. - Kiet Van Nguyen, Duc-Vu Nguyen, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen:
A Vietnamese Dataset for Evaluating Machine Reading Comprehension. - Michael Elkin, Shaked Matar:
Deterministic PRAM Approximate Shortest Paths in Polylogarithmic Time and Slightly Super-Linear Work. - Grant Schoenebeck, Fang-Yi Yu:
Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach. - Divya Ojha, Sandhya Dwarkadas:
Timing Cache Accesses to Eliminate Side Channels in Shared Software. - Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Point-of-Interest Type Inference from Social Media Text. - Keyu Tian, Chen Lin, Ming Sun, Luping Zhou, Junjie Yan, Wanli Ouyang:
Improving Auto-Augment via Augmentation-Wise Weight Sharing. - Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy:
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks. - Gabriel F. Barros, Adriano M. A. Côrtes, Alvaro L. G. A. Coutinho:
Finite element solution of nonlocal Cahn-Hilliard equations with feedback control time step size adaptivity. - Austen Rainer, Ashley Williams, Vahid Garousi, Michael Felderer:
Retrieving and mining professional experience of software practice from grey literature: an exploratory review. - Zhiqian You, Tingting Yang, Miao Jin:
Multi-channel Deep 3D Face Recognition. - Eranda Çela, Vladimir G. Deineko, Gerhard J. Woeginger:
Travelling salesman paths on Demidenko matrices. - Sashank Modali, Satadal Ghosh, Sujit P. B:
Terminal-Angle-Constrained Guidance based on Sliding Mode Control for UAV Soft Landing on Ground Vehicles. - Zhenzhen Wang, Chunyan Xu, Yap-Peng Tan, Junsong Yuan:
Attention-Aware Noisy Label Learning for Image Classification. - Yuxuan Wu, Hideki Nakayama:
Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network. - Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya:
Byzantine Fault-Tolerance in Decentralized Optimization under Minimal Redundancy. - Tommaso d'Orsi, Gleb Novikov, David Steurer:
Regress Consistently when Oblivious Outliers Overwhelm. - Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris:
Cooperative Path Integral Control for Stochastic Multi-Agent Systems. - Qi Cai, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei:
Joint Contrastive Learning with Infinite Possibilities. - Jonathan Malmaud, Roger Levy, Yevgeni Berzak:
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension. - Yifan Ding, Nicholas Botzer, Tim Weninger:
HetSeq: Distributed GPU Training on Heterogeneous Infrastructure. - Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal:
Measuring Systematic Generalization in Neural Proof Generation with Transformers. - Sara Ayhan:
A cut-free sequent calculus for the bi-intuitionistic logic 2Int. - Hang Yan, Xiaonan Li, Xipeng Qiu:
BERT for Monolingual and Cross-Lingual Reverse Dictionary. - Jugal Garg, Edin Husic, László A. Végh:
Approximating Nash Social Welfare under Rado Valuations. - Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. - Robert R. Hoffman, William J. Clancey, Shane T. Mueller:
Explaining AI as an Exploratory Process: The Peircean Abduction Model. - Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning. - Carson Eisenach, Yagna Patel, Dhruv Madeka:
MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention. - Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji:
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing. - Marwen Belkaid, Luiz Pessoa:
Emotion in Future Intelligent Machines. - Amin Gohari, Gerhard Kramer:
An Upper Bound for Wiretap Multi-way Channels. - Rebecca Bernemann, Benjamin Cabrera, Reiko Heckel, Barbara König:
Uncertainty Reasoning for Probabilistic Petri Nets via Bayesian Networks. - Tanner Fiez, Lillian J. Ratliff:
Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation. - Sareen Shah:
A Systematic Method for On-The-Fly Denormalization of Relational Databases. - Ikhyun Cho, U Kang:
Pea-KD: Parameter-efficient and Accurate Knowledge Distillation. - Chantal Amrhein, Rico Sennrich:
On Romanization for Model Transfer Between Scripts in Neural Machine Translation. - Isin M. Balci, Efstathios Bakolas:
Covariance Steering of Discrete-Time Stochastic Linear Systems Based on Distribution Distance Terminal Costs. - Yusheng Jiao, Feng Ling, Sina Heydari, Nicolas Heess, Josh Merel, Eva Kanso:
Learning to swim in potential flow. - Elias Nehme, Boris Ferdman, Lucien E. Weiss, Tal Naor, Daniel Freedman, Tomer Michaeli, Yoav Shechtman:
Learning an optimal PSF-pair for ultra-dense 3D localization microscopy. - Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon, Bertrand Thirion:
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso. - Michael J. Kurtz, Alberto Accomazzi, Edwin A. Henneken:
Enabling Synergy: Improving the Information Infrastructure for Planetary Science. - Thomas Choi, Peng Luo, Akshay Ramesh, Andreas F. Molisch:
Co-Located vs Distributed vs Semi-Distributed MIMO: Measurement-Based Evaluation. - Tomoharu Iwata, Atsutoshi Kumagai:
Few-shot Learning for Time-series Forecasting. - Alberto Bietti, Francis R. Bach:
Deep Equals Shallow for ReLU Networks in Kernel Regimes. - Mingyang Zhang, Yi Zhou, Li Zhao, Haizhou Li:
Transfer Learning from Speech Synthesis to Voice Conversion with Non-Parallel Training Data. - Tao Jiang, Hei Victor Cheng, Wei Yu:
Learning to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimate. - Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn:
Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation. - Bindya Venkatesh, Jayaraman J. Thiagarajan:
Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification. - Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias:
Accurate and Robust Feature Importance Estimation under Distribution Shifts. - Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. - Hui Zeng, Jianrui Cai, Lida Li, Zisheng Cao, Lei Zhang:
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time. - Dominik Schiller, Silvan Mertes, Elisabeth André:
Embedded Emotions - A Data Driven Approach to Learn Transferable Feature Representations from Raw Speech Input for Emotion Recognition. - Yingxue Pang, Xin Li, Xin Jin, Yaojun Wu, Jianzhao Liu, Sen Liu, Zhibo Chen:
FAN: Frequency Aggregation Network for Real Image Super-resolution. - Francesco Liberati, Andrea Tortorelli, Cesar Mazquiaran, Muhammad Imran, Martina Panfili:
Optimal Control of Industrial Assembly Lines. - Chaosheng Dong, Bo Zeng:
Wasserstein Distributionally Robust Inverse Multiobjective Optimization. - Peter Frankl, Andreas F. Holmsen, Andrey Kupavskii:
Intersection theorems for triangles. - Paola Bermolen, Matthieu Jonckheere, Federico Larroca, Manuel Sáenz:
Sequential Algorithms and Independent Sets Discovering on Large Sparse Random Graphs. - Yassine Laguel, Jérôme Malick, Zaïd Harchaoui:
First-order Optimization for Superquantile-based Supervised Learning. - Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev:
EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data. - Mingchi Zhang, Xuemin Chen, Wei Li:
Hidden Markov Models for Pipeline Damage Detection Using Piezoelectric Transducers. - Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Yong Li:
Disruption in the Chinese E-Commerce During COVID-19: A Case Study of the Beidian Platform. - Rémy Garnier:
Modelisation of competition between times series. - Katarzyna Wardega, Adam Zadrozny, Martin Beroiz, Richard Camuccio, Mario C. Díaz:
Detecting optical transients using artificial neural networks and reference images from different surveys. - Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning. - Che-Jui Chang:
Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice Conversion. - Jiekun Feng, Mark O. Gluzman, Jim G. Dai:
Scalable Deep Reinforcement Learning for Ride-Hailing. - Jean-Luc Marichal, Naïm Zénaïdi:
A generalization of Krull-Webster's theory to higher order convex functions: multiple $Γ$-type functions. - Hanbin Son, Taeoh Kim, Hyeongmin Lee, Sangyoun Lee:
Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks. - Boris Adamczewski, Michael Drmota, Clemens Müllner:
(Logarithmic) densities for automatic sequences along primes and squares. - Matteo Ronchetti:
TorchRadon: Fast Differentiable Routines for Computed Tomography. - V. Nguyen, S. B. Orbell, Dominic T. Lennon, Hyungil Moon, Florian Vigneau, Leon C. Camenzind, Liuqi Yu, Dominik M. Zumbühl, G. Andrew D. Briggs, Michael A. Osborne, Dino Sejdinovic, Natalia Ares:
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices. - Shmuel Onn:
Optimization over Young Diagrams. - Hong-Bin Chen, Jiaming Xia:
Hamilton-Jacobi equations for inference of matrix tensor products. - Braden Kronheim, Michelle P. Kuchera, Harrison B. Prosper:
TensorBNN: Bayesian Inference for Neural Networks using Tensorflow. - Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Inferring the Dynamics of the State Evolution During Quantum Annealing. - Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Advanced anneal paths for improved quantum annealing. - Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Advanced unembedding techniques for quantum annealers. - Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Decomposition algorithms for solving NP-hard problems on a quantum annealer.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-05-13 21:26 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
