default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, March 2021
- Yanfang Mo, Qiulin Lin, Minghua Chen, Si-Zhao Joe Qin:
Online Peak-Demand Minimization Using Energy Storage. - Daniel G. Waddington, Clem Dickey, Moshik Hershcovitch, Sangeetha Seshadri:
An Architecture for Memory Centric Active Storage (MCAS). - Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever:
Learning Transferable Visual Models From Natural Language Supervision. - Qiongwen Xu, Michael D. Wong, Tanvi Wagle, Srinivas Narayana, Anirudh Sivaraman:
Synthesizing Safe and Efficient Kernel Extensions for Packet Processing. - Dominik Aumayr, Stefan Marr, Sophie Kaleba, Elisa Gonzalez Boix, Hanspeter Mössenböck:
Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record & Replay. - Janice Chin, David Pearce:
Finding Bugs with Specification-Based Testing is Easy! - Sebastian Burckhardt, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn:
Serverless Workflows with Durable Functions and Netherite. - John Dunham
, Konstantinos Papangelis, Nicolas J. LaLone, Yihong Wang:
Casual and Hardcore Player Traits and Gratifications of Pokémon GO, Harry Potter: Wizards Unite, Ingress. - Peter Kairouz, Brendan McMahan, Shuang Song, Om Thakkar, Abhradeep Thakurta, Zheng Xu:
Practical and Private (Deep) Learning without Sampling or Shuffling. - Georgios Bakirtzis, Fabrizio Genovese, Cody H. Fleming:
Yoneda Hacking: The Algebra of Attacker Actions. - Abhijat Biswas, Allan Wang, Gustavo Silvera, Aaron Steinfeld, Henny Admoni:
SocNavBench: A Grounded Simulation Testing Framework for Evaluating Social Navigation. - Andreas Stöckel:
Constructing Dampened LTI Systems Generating Polynomial Bases. - Reyhan Kevser Keser, Aydin Ayanzadeh, Omid Abdollahi Aghdam, Çaglar Kilcioglu, Behçet Ugur Töreyin, Nazim Kemal Ure:
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation. - Shiyu Feng, Zixuan Wu, Yipu Zhao, Patricio A. Vela:
Trajectory Servoing: Image-Based Trajectory Tracking Using SLAM. - Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, Peter Stone:
Scalable Multiagent Driving Policies For Reducing Traffic Congestion. - Yikun Ban, Jingrui He:
Local Clustering in Contextual Multi-Armed Bandits. - J. Nathan Matias, Austin Hounsel, Nick Feamster:
Software-Supported Audits of Decision-Making Systems: Testing Google and Facebook's Political Advertising Policies. - Jeremy Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar:
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. - Jakob Meldgaard Kjær, Lasse Kristensen, Mads Alberg Christensen:
Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction. - Isaac Johnson, Martin Gerlach, Diego Sáez-Trumper:
Language-agnostic Topic Classification for Wikipedia. - Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, Huajun Chen:
Knowledge-aware Zero-Shot Learning: Survey and Perspective. - Nan Jiang, Thibaud Lutellier, Lin Tan:
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. - Yingxue Zhou, Xinyan Li, Arindam Banerjee:
Noisy Truncated SGD: Optimization and Generalization. - Haitao Wang:
An Optimal Deterministic Algorithm for Geodesic Farthest-Point Voronoi Diagrams in Simple Polygons. - Anne Canteaut, Alain Couvreur, Léo Perrin:
Recovering or Testing Extended-Affine Equivalence. - C. Sinan Güntürk, Weilin Li:
Quantization for spectral super-resolution. - Xiang Sun, Kenichi Soga, Alp Cinar, Zhenxiang Su, Kecheng Chen, Krishna Kumar, Patrick F. Dobson, Peter S. Nico:
An HPC-Based Hydrothermal Finite Element Simulator for Modeling Underground Response to Community-Scale Geothermal Energy Production. - Leandro Eichenberger, Michael Cochez, Benjamin Heitmann, Stefan Decker:
Secure Evaluation of Knowledge Graph Merging Gain. - Ce Wang, Moshiur R. Farazi, Nick Barnes:
Recursive Training for Zero-Shot Semantic Segmentation. - Jun Hu, Yizhou Liang, Rui Ma:
Conforming finite element DIVDIV complexes and the application for the linearized Einstein-Bianchi system. - André Merzky, Matteo Turilli, Mikhail Titov, Aymen Al-Saadi, Shantenu Jha:
Design and Performance Characterization of RADICAL-Pilot on Leadership-class Platforms. - Md Kamran Chowdhury Shisher, Heyang Qin, Lei Yang, Feng Yan, Yin Sun:
The Age of Correlated Features in Supervised Learning based Forecasting. - Parth Sane:
A Brief Survey of Current Software Engineering Practices in Continuous Integration and Automated Accessibility Testing. - Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Reducing Conservativeness Oriented Offline Reinforcement Learning. - Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare:
Dynamic Oversampling Tecniques for 1-Bit ADCs in Large-Scale MIMO Systems. - Tadashi Kozuno, Yunhao Tang, Mark Rowland, Rémi Munos, Steven Kapturowski, Will Dabney, Michal Valko, David Abel:
Revisiting Peng's Q(λ) for Modern Reinforcement Learning. - Ye Zhang, Yuan Cao, Mahdis Mahdieh, Jeffrey Zhao, Yonghui Wu:
Improving Longer-range Dialogue State Tracking. - Yichong Leng, Xu Tan, Sheng Zhao, Frank K. Soong, Xiangyang Li, Tao Qin:
MBNet: MOS Prediction for Synthesized Speech with Mean-Bias Network. - Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu:
Graph Self-Supervised Learning: A Survey. - Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang:
Transformer in Transformer. - Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. - Yang Yan, Qiuyan Wang:
ISHNE: Influence Self-attention for Heterogeneous Network Embedding. - Ali Pourramezan Fard, Hojjat Abdollahi, Mohammad H. Mahoor:
Deep Active Shape Model for Face Alignment and Pose Estimation in Mobile Environment. - Mozhdeh Rouhsedaghat, Masoud Monajatipoor, Zohreh Azizi, C.-C. Jay Kuo:
Successive Subspace Learning: An Overview. - KrishnaTeja Killamsetty, Durga Sivasubramanian, Baharan Mirzasoleiman, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer:
GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning. - Muhammad Usman, Yannic Noller, Corina S. Pasareanu, Youcheng Sun, Divya Gopinath:
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks. - Swaroop Panda, Vinay P. Namboodiri, Shatarupa Thakurta Roy:
Visualizing Music Genres using a Topic Model. - Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer:
PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization. - Swaroop Panda, Shatarupa Thakurta Roy:
Music Genre Bars. - Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen:
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. - Erfan Nozari, Robert Planas, Jorge Cortés:
Structural Characterization of Oscillations in Brain Networks with Rate Dynamics. - Takeshi Teshima, Masashi Sugiyama:
Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation. - Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal:
Meta-Learning with Graph Neural Networks: Methods and Applications. - Mohammad Ali Javidian, Om Pandey, Pooyan Jamshidi:
Scalable Causal Transfer Learning. - Fei Li, Xiangxu Li, Jun Luo, Shiwei Fan, Hongbo Zhang:
Open-set Intersection Intention Prediction for Autonomous Driving. - Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li:
A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. - Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson:
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models. - Fei Li, Shiwei Fan, Pengzhen Chen, Xiangxu Li:
Pedestrian Motion State Estimation From 2D Pose. - Vinu Sankar Sadasivan, Anirban Dasgupta:
Statistical Measures For Defining Curriculum Scoring Function. - Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Desislava Stoyanova, Ola Spjuth, Salman Toor, Andreas Hellander:
Scalable federated machine learning with FEDn. - Preslav Nakov, Vibha Nayak, Kyle Dent, Ameya Bhatawdekar, Sheikh Muhammad Sarwar, Momchil Hardalov, Yoan Dinkov, Dimitrina Zlatkova, Guillaume Bouchard, Isabelle Augenstein:
Detecting Abusive Language on Online Platforms: A Critical Analysis. - B. D. M. De Zoysa, Y. A. M. M. A. Ali, M. D. I. Maduranga, Indika Perera, Saliya Ekanayake, Anil Vullikanti:
Parallel Algorithms for Densest Subgraph Discovery Using Shared Memory Model. - Yanjie Jiang, Hui Liu, Nan Niu, Lu Zhang, Yamin Hu:
Extracting Concise Bug-Fixing Patches from Human-Written Patches in Version Control Systems. - Renzhe Yu, John Scott, Zachary A. Pardos:
Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment. - Menglin Yang, Ziqiao Meng, Irwin King:
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. - Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng:
Lifelong Learning based Disease Diagnosis on Clinical Notes. - Dirk Fahland, Vadim Denisov, Wil M. P. van der Aalst:
Inferring Unobserved Events in Systems With Shared Resources and Queues. - Mazhar Ali, Elena N. Gryazina, Anatoly Dymarsky, Petr Vorobev:
Voltage Feasibility Boundaries for Power System Security Assessment. - Rodrigo Laigner, Yongluan Zhou, Marcos Antonio Vaz Salles, Yijian Liu, Marcos Kalinowski:
Data Management in Microservices: State of the Practice, Challenges, and Research Directions. - AbuBakr Awad, Wei Pang, David Lusseau, George M. Coghill:
A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications. - Mayank Gokarna:
Reasons behind growing adoption of Cloud after Covid-19 Pandemic and Challenges ahead. - Kostas Kolomvatsos, Christos Anagnostopoulos:
A Soft Method for Outliers Detection at the Edge of the Network. - Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan:
Incorporating Domain Knowledge into Deep Neural Networks. - Ji Zhou, Chengkun Yang, Dawei Wang, Qi Sui, Haide Wang, Shecheng Gao, Yuanhua Feng, Weiping Liu, Yuelin Yan, Jianping Li, Changyuan Yu, Zhaohui Li:
Burst-Error Propagation Suppression for Decision-Feedback Equalizer in Field-Trial Submarine Fiber-Optic Communications. - Michael Walton, Viliam Lisý:
Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report. - Zhepei Wang, Xin Zhou, Chao Xu, Fei Gao:
Geometrically Constrained Trajectory Optimization for Multicopters. - Anna Konrad, Ciarán Eising, Ganesh Sistu, John McDonald, Rudi C. Villing, Senthil Kumar Yogamani:
FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images. - Kingshuk Majumder, Uday Bondhugula:
HIR: An MLIR-based Intermediate Representation for Hardware Accelerator Description. - Abdul Hameed Azeemi, Adeel Waheed:
COVID-19 Tweets Analysis through Transformer Language Models. - Wenrui Gan, Zhulin Liu, C. L. Philip Chen, Tong Zhang:
Siamese Labels Auxiliary Network(SiLaNet). - Giulia Crocioni, Giambattista Gruosso, Danilo Pau, Davide Denaro, Luigi Zambrano, Giuseppe di Giore:
Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers. - Lifeng Xie, Xiaowen Cao, Jie Xu, Rui Zhang:
UAV-Enabled Wireless Power Transfer: A Tutorial Overview. - Hao Chen, Zipeng Qi, Zhenwei Shi:
Efficient Transformer based Method for Remote Sensing Image Change Detection. - Steven X. Ding, Linlin Li, Dong Zhao, Chris Louen, Tianyu Liu:
Application of the unified control and detection framework to detecting stealthy integrity cyber-attacks on feedback control systems. - Hyunseung Kim, Jonggeol Na, Won Bo Lee:
Generative chemical transformer: attention makes neural machine learn molecular geometric structures via text. - Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst:
ProbLP: A framework for low-precision probabilistic inference. - Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo, Lei Ma, Yang Liu:
Countering Malicious DeepFakes: Survey, Battleground, and Horizon. - Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets. - Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data. - András Kovács:
Generalized Universe Hierarchies and First-Class Universe Levels. - Tohid Soleymani Aghdam, Seyed Mohammad Mahdi Alavi, Mehrdad Saif:
Structural Identifiability of Impedance Spectroscopy Fractional-Order Equivalent Circuit Models With Two Constant Phase Elements. - EmadelDin A. Mazied, Lingjia Liu, Scott F. Midkiff:
Towards Intelligent RAN Slicing for B5G: Opportunities and Challenges. - Chris Xing Tian, Haoliang Li, Xiaofei Xie, Yang Liu, Shiqi Wang:
Neuron Coverage-Guided Domain Generalization. - Eniafe Festus Ayetiran, Petr Sojka, Vít Novotný:
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses. - Junru Luo, Hong Qiao, Bo Zhang:
Learning with Smooth Hinge Losses. - Dan You, Shouguang Wang, Carla Seatzu:
Generalized Current-State Opacity With Dynamically Changing Secrets. - Mete Seref Ahunbay, Adrian Vetta:
Improved Two Sample Revenue Guarantees via Mixed-Integer Linear Programming. - Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu, Yanpeng Cao:
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection. - Artyom M. Grigoryan, Sos S. Agaian:
Color-Coded Symbology and New Computer Vision Tool to Predict the Historical Color Pallets of the Renaissance Oil Artworks. - Floor Verhoeven, Amir Vaxman, Tim Hoffmann, Olga Sorkine-Hornung:
Dev2PQ: Planar Quadrilateral Strip Remeshing of Developable Surfaces. - Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh:
Neural Architecture Search From Task Similarity Measure. - Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
A Survey on Stance Detection for Mis- and Disinformation Identification. - Boyan Gao, Henry Gouk, Timothy M. Hospedales:
Searching for Robustness: Loss Learning for Noisy Classification Tasks. - Cleophas Kweyu, Lihong Feng, Matthias Stein, Peter Benner:
Reduced basis method for the nonlinear Poisson-Boltzmann equation regularized by the range-separated canonical tensor format. - Silvia Noschese, Lothar Reichel:
Estimating and increasing the structural robustness of a network. - Alina Elena Baia, Gabriele Di Bari, Valentina Poggioni:
Effective Universal Unrestricted Adversarial Attacks using a MOE Approach. - Harsh Agarwal, Navyata Sanghvi, Vivek Roy, Kris Kitani:
DeepBLE: Generalizing RSSI-based Localization Across Different Devices. - Armin Goudarzi, Carsten Spehr, Steffen Herbold:
Expert decision support system for aeroacoustic classification. - Jiebin Yan, Yu Zhong, Yuming Fang, Zhangyang Wang, Kede Ma:
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition. - Claudio Mura, Renato Pajarola, Konrad Schindler, Niloy J. Mitra:
Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories. - Pablo Alexei Gazca-Orozco:
A semismooth Newton method for implicitly constituted non-Newtonian fluids and its application to the numerical approximation of Bingham flow. - Alex Lamb:
A Brief Introduction to Generative Models. - Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst:
Acceleration of probabilistic reasoning through custom processor architecture. - Naoki Wake, Daichi Saito, Kazuhiro Sasabuchi, Hideki Koike, Katsushi Ikeuchi:
Object affordance as a guide for grasp-type recognition. - Yi Li, Shaohua Wang, Tien N. Nguyen:
A Context-based Automated Approach for Method Name Consistency Checking and Suggestion. - Yi Li, Shaohua Wang, Tien N. Nguyen:
Fault Localization with Code Coverage Representation Learning. - Philipp Steinbach, Daniel Otto Schulte, Bastian Welsch, Ingo Sass, Jens Lang:
Quantification of Bore Path Uncertainty in Borehole Heat Exchanger Arrays. - Tianyu Zhang, Xiangjia Chen, Guoxin Fang, Yingjun Tian, Charlie C. L. Wang:
Singularity-aware motion planning for multi-axis additive manufacturing. - Daniel Zhengyu Huang, Jiaoyang Huang:
Unscented Kalman Inversion: Efficient Gaussian Approximation to the Posterior Distribution. - John Baillieul, Feiyang Kang:
Visual Navigation with a 2-pixel Camera - Possibilities and Limitations. - Amir Ziaee, Raziyeh Dehbozorgi, Mario Döller:
A Novel Adaptive Deep Network for Building Footprint Segmentation. - Yitong Li, Duoduo Liao, Jundong Li, Wenying Ji:
Automated Generation of Interorganizational Disaster Response Networks through Information Extraction. - Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch:
On Optimizing the Trade-off between Privacy and Utility in Data Provenance. - Taha Aksu, Nancy F. Chen, Min-Yen Kan, Zhengyuan Liu:
A Simple But Effective Approach to n-shot Task-Oriented Dialogue Augmentation. - Shahar Maoz, Rafi Shalom:
Unrealizable Cores for Reactive Systems Specifications. - Stefanie Günther, Will Pazner, Dongping Qi:
Spline parameterization of neural network controls for deep learning. - Simón Gutiérrez Brida, Germán Regis, Guolong Zheng, Hamid Bagheri, ThanhVu Nguyen, Nazareno Aguirre, Marcelo F. Frias:
Bounded Exhaustive Search of Alloy Specification Repairs. - Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso, Patricio Clark Di Leoni, Kristian Gustavsson:
Optimal control of point-to-point navigation in turbulent time-dependent flows using Reinforcement Learning. - Daniela Kuinchtner, Afonso Sales, Felipe Meneguzzi:
CP-MDP: A CANDECOMP-PARAFAC Decomposition Approach to Solve a Markov Decision Process Multidimensional Problem. - Ziyun Yang, Somayyeh Soltanian-Zadeh, Sina Farsiu:
BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection. - Alex Lamb, Di He, Anirudh Goyal, Guolin Ke, Chien-Feng Liao, Mirco Ravanelli, Yoshua Bengio:
Transformers with Competitive Ensembles of Independent Mechanisms. - Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Constrained Differentially Private Federated Learning for Low-bandwidth Devices. - Ruochen Jiao, Hengyi Liang, Takami Sato, Junjie Shen, Qi Alfred Chen, Qi Zhu:
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering. - Kate Donahue, Solon Barocas:
Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness. - David Eriksson, Martin Jankowiak:
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces. - Kaylea Champion, Benjamin Mako Hill:
Underproduction: An Approach for Measuring Risk in Open Source Software. - Weixiao Gao, Liangliang Nan, Bas Boom, Hugo Ledoux:
SUM: A Benchmark Dataset of Semantic Urban Meshes. - Lei Gao, Lin Qi, Ling Guan:
Online Behavioral Analysis with Application to Emotion State Identification. - Sirish Srinivasan, Sebastian Nicolas Giles, Alexander Liniger:
A Holistic Motion Planning and Control Solution to Challenge a Professional Racecar Driver. - Lei Gao, Rui Zhang, Lin Qi, Enqing Chen, Ling Guan:
The Labeled Multiple Canonical Correlation Analysis for Information Fusion. - Max Simchowitz, Aleksandrs Slivkins:
Exploration and Incentives in Reinforcement Learning. - Lei Gao, Lin Qi, Enqing Chen, Ling Guan:
Discriminative Multiple Canonical Correlation Analysis for Information Fusion. - Guoyang Xie, Jinbao Wang, Guo Yu, Feng Zheng, Yaochu Jin:
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search. - Rohan Shad, Nicolas Quach, Robyn Fong, Patpilai Kasinpila, Cayley Bowles, Miguel Castro, Ashrith Guha, Eddie Suarez, Stefan Jovinge, Sangjin Lee, Theodore Boeve, Myriam Amsallem, Xiu Tang, Francois Haddad, Yasuhiro Shudo, Y. Joseph Woo, Jeffrey J. Teuteberg, John P. Cunningham, Curtis P. Langlotz, William Hiesinger:
Predicting post-operative right ventricular failure using video-based deep learning. - Lei Gao, Ling Guan:
A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis. - Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang:
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. - Muhammad Umar Karim Khan:
Towards Continual, Online, Unsupervised Depth. - Mark Hamilton, Scott M. Lundberg, Lei Zhang, Stephanie Fu, William T. Freeman:
Model-Agnostic Explainability for Visual Search. - Vinod Menon, Roopak Sinha, Stephen G. MacDonell:
Architectural Challenges in Migrating Plan-driven Projects to Agile. - Chen Wang, Rui Wang, Danfei Xu, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese:
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. - Sherlock A. Licorish, Chan Won Lee, Bastin Tony Roy Savarimuthu, Priyanka Patel, Stephen G. MacDonell:
They'll Know It When They See It: Analyzing Post-Release Feedback from the Android Community. - Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu:
Towards Efficient Local Causal Structure Learning. - Abheesht Sharma, Harshit Pandey:
LRG at TREC 2020: Document Ranking with XLNet-Based Models. - Penglong Zhai, Shihua Zhang:
Adversarial Information Bottleneck. - Gautam Krishna, Mason Carnahan, Shilpa Shamapant, Yashitha Surendranath, Saumya Jain, Arundhati Ghosh, Co Tran, José del R. Millán, Ahmed H. Tewfik:
Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition. - Shaojie Tang, Jing Yuan:
Adaptive Regularized Submodular Maximization. - Yunchou Xing, Theodore S. Rappaport, Amitava Ghosh:
Millimeter Wave and sub-THz Indoor Radio Propagation Channel Measurements, Models, and Comparisons in an Office Environment. - Zümrüt Akçam, Daniel S. Hono II, Paliath Narendran, Andrew Pulver:
On Problems Dual to Unification: The String-Rewriting Case. - Zhouchi Li, Luyao Niu, Andrew Clark:
LQG Reference Tracking with Safety and Reachability Guarantees under Unknown False Data Injection Attacks. - Zhu Wang:
Structure-Preserving Galerkin POD-DEIM Reduced-Order Modeling of Hamiltonian Systems. - Chaolong Jiang, Jin Cui, Xu Qian, Songhe Song:
High-order linearly implicit structure-preserving exponential integrators for the nonlinear Schrödinger equation. - Sushirdeep Narayana, Ian A. Kash:
Fair and Efficient Allocations with Limited Demands. - Luhuan Wu, Andrew Miller, Lauren Anderson, Geoff Pleiss, David M. Blei, John P. Cunningham:
Hierarchical Inducing Point Gaussian Process for Inter-domain Observations. - Yixing Zhang, Xiuyuan Cheng, Galen Reeves:
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples. - Junru Luo, Hong Qiao, Bo Zhang:
A Minimax Probability Machine for Non-Decomposable Performance Measures. - Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang:
Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly. - Hao Li, Daniel Appelö, Xiangxiong Zhang:
Accuracy of spectral element method for wave, parabolic and Schrödinger equations. - Fanze Kong, Wei Xu, Fu Zhang:
Avoiding dynamic small obstacles with onboard sensing and computating on aerial robots. - Zihan Ding, Ya-Yen Tsai, Wang Wei Lee, Bidan Huang:
Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory. - Hui Peng, Qilong Zhai, Ran Zhang, Shangyou Zhang:
A weak Galerkin-mixed finite element method for the Stokes-Darcy problem. - Youngjun Lee, Dongwook Lee, Adam Reyes:
A recursive system-free single-step temporal discretization method for finite difference methods. - Christopher Schymura, Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Tomohiro Nakatani, Shoko Araki, Dorothea Kolossa:
Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization. - Francois P. S. Luus, Prithviraj Sen, Pavan Kapanipathi, Ryan Riegel, Ndivhuwo Makondo, Thabang Lebese, Alexander G. Gray:
Logic Embeddings for Complex Query Answering. - Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. - Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. - Yuqi Han, Rui Wang, Jun Wu, Dian Liu, Haoqi Ren:
Cache Placement Optimization in Mobile Edge Computing Networks with Unaware Environment - An Extended Multi-armed Bandit Approach. - Jialin Peng, Ye Wang:
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models. - Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. - Yu-Chien Lin, Zhi Ding, Zhenyu Liu, Ta-Sung Lee:
Learning-Based Phase Compression and Quantization for Massive MIMO CSI Feedback with Magnitude-Aided Information. - Wojciech Mazurczyk, Steffen Wendzel, Mehdi Chourib, Jörg Keller:
Countering Adaptive Network Covert Communication with Dynamic Wardens. - Wanli Ni, Yuanwei Liu, Zhaohui Yang, Hui Tian, Xuemin Shen:
Integrating Over-the-Air Federated Learning and Non-Orthogonal Multiple Access: What Role can RIS Play? - Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Automated Creative Optimization for E-Commerce Advertising. - Wardah Mahmood, Daniel Strüber, Thorsten Berger, Ralf Lämmel, Mukelabai Mukelabai:
Seamless Variability Management With the Virtual Platform. - Frederic Jumelle, Kelvin So, Didan Deng:
Individual risk profiling for portable devices using a neural network to process the cognitive reactions and the emotional responses to a multivariate situational risk assessment. - Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui:
Explore User Neighborhood for Real-time E-commerce Recommendation. - Oren Peer, Chen Tessler, Nadav Merlis, Ron Meir:
Ensemble Bootstrapping for Q-Learning. - Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
Learning for Visual Navigation by Imagining the Success. - Èric Pairet, Constantinos Chamzas, Yvan R. Pétillot, Lydia E. Kavraki:
Path Planning for Manipulation using Experience-driven Random Trees. - Samrat Mukhopadhyay:
Dynamic Sample Complexity for Exact Sparse Recovery using Sequential Iterative Hard Thresholding. - Giulia Preti, Polina Rozenshtein, Aristides Gionis, Yannis Velegrakis:
Discovering Dense Correlated Subgraphs in Dynamic Networks. - Yanlong Huang:
EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance. - Timo Schick, Sahana Udupa, Hinrich Schütze:
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP. - Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque:
NLP-CUET@DravidianLangTech-EACL2021: Offensive Language Detection from Multilingual Code-Mixed Text using Transformers. - Annamaria Ficara, Lucia Cavallaro, Francesco Curreri, Giacomo Fiumara, Pasquale De Meo, Ovidiu Bagdasar, Wei Song, Antonio Liotta:
Criminal Networks Analysis in Missing Data scenarios through Graph Distances. - Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza:
A Certified Reduced Basis Method for Linear Parametrized Parabolic Optimal Control Problems in Space-Time Formulation. - Djamal Belazzougui, Dmitry Kosolobov, Simon J. Puglisi, Rajeev Raman:
Weighted Ancestors in Suffix Trees Revisited. - Jingnan Li, Rui Wang, Erwu Liu:
Passive Beamforming Design and Channel Estimation for IRS Communication System with Few-Bit ADCs. - Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque:
NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner. - Matteo Brunetto, Giovanni Denaro, Leonardo Mariani, Mauro Pezzè:
On Introducing Automatic Test Case Generation in Practice: A Success Story and Lessons Learned. - Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque:
NLP-CUET@DravidianLangTech-EACL2021: Investigating Visual and Textual Features to Identify Trolls from Multimodal Social Media Memes. - Maria Papadopoulou, Zacharoula Smyrnaiou:
Digital History and History Teaching in the Digital Age. - Jason R. C. Nurse:
Cybersecurity Awareness. - Shikuang Deng, Shi Gu:
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks. - Kishlay Jha:
Knowledge-Base Enriched Word Embeddings for Biomedical Domain. - Fergal Stapleton, Edgar Galván:
Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. - Yuqi Si, Elmer V. Bernstam, Kirk Roberts:
Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data. - Chenyu Tian, Yuchun Zhang, Zefeng Weng:
Learning Large-scale Location Embedding From Human Mobility Trajectories with Graphs. - Momina Masood, Marriam Nawaz, Khalid Mahmood Malik, Ali Javed, Aun Irtaza:
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward. - Sibo Cheng, Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo:
Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating. - Mark He, Dylan Lu, Jason Xu, Rose Mary Xavier:
Community Detection in Weighted Multilayer Networks with Ambient Noise. - Jiaojiao Jiang, Sanjay Jha:
Network Growth From Global and Local Influential Nodes. - Chunguang Pan, Bingyan Song, Shengguang Wang, Zhipeng Luo:
BERT-based Acronym Disambiguation with Multiple Training Strategies. - Yiannis Gkoufas, David Yu Yuan:
Dataset Lifecycle Framework and its applications in Bioinformatics. - Zhuo Xu:
RoBERTa-wwm-ext Fine-Tuning for Chinese Text Classification. - Zhiyong Feng, Zixi Fang, Zhiqing Wei, Xu Chen, Zhi Quan, Danna Ji:
Joint Radar and Communication: A Survey. - Aryan Asadian, Amirali Salehi-Abari:
Distilling Knowledge via Intermediate Classifier Heads. - He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine:
Topic Modelling Meets Deep Neural Networks: A Survey. - Steffen Wendzel:
Protocol-independent Detection of "Messaging Ordering" Network Covert Channels. - Xixi Li, Yun Bai, Yanfei Kang:
Exploring the social influence of Kaggle virtual community on the M5 competition. - Zuowei Shen, Haizhao Yang, Shijun Zhang:
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth. - Xianghui Zhong:
On the Approximation Ratio of the 3-Opt Algorithm for the (1, 2)-TSP. - Florentin D. Hildebrandt, Barrett W. Thomas, Marlin W. Ulmer:
Where the Action is: Let's make Reinforcement Learning for Stochastic Dynamic Vehicle Routing Problems work! - Miguel Arana-Catania, Felix-Anselm van Lier, Rob Procter, Nataliya Tkachenko, Yulan He, Arkaitz Zubiaga, Maria Liakata:
Citizen Participation and Machine Learning for a Better Democracy. - Andreas Holzinger, Anna Saranti, Heimo Müller:
KANDINSKYPatterns - An experimental exploration environment for Pattern Analysis and Machine Intelligence. - Wen Guan, Tadashi Maeno, Brian Paul Bockelman, Torre J. Wenaus, Fahui Lin, Siarhei Padolski, Rui Zhang, Aleksandr Alekseev:
An intelligent Data Delivery Service for and beyond the ATLAS experiment. - Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge:
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. - Paul Breiding, Nick Vannieuwenhoven:
Sensitivity of low-rank matrix recovery. - Muhammad Mudassar Qureshi, Muhammad Shoaib, Kalsoom:
An Efficient Indexing and Searching Technique for Information Retrieval for Urdu Language. - Xilong Pei, Haifan Yin, Li Tan, Lin Cao, Zhanpeng Li, Kai Wang, Kun Zhang, Emil Björnson:
RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials. - Gabriela Cavalcante da Silva, Fernanda Monteiro de Almeida, Sabrina M. Oliveira, Leonardo C. T. Bezerra, Elizabeth F. Wanner, Ricardo H. C. Takahashi:
A multi-objective time series analysis of community mobility reduction comparing first and second COVID-19 waves. - Tanishq Chaudhary, Mayank Goel, Radhika Mamidi:
Towards Conversational Humor Analysis and Design. - Palina Tolmach, Yi Li, Shang-Wei Lin, Yang Liu:
Formal Analysis of Composable DeFi Protocols. - Rafael Antônio Lima Cardoso, Glauco de Figueiredo Carneiro, José Euclimar Xavier de Menezes:
Dados Abertos Governamentais no contexto de Políticas Públicas de Saúde e Sistemas Prisionais: Realidade ou Utopia? - Yuling Jiao, Yanming Lai, Xiliang Lu, Jerry Zhijian Yang:
Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality on Hölder Class. - Saurabh Agarwal, Hongyi Wang, Shivaram Venkataraman, Dimitris S. Papailiopoulos:
On the Utility of Gradient Compression in Distributed Training Systems. - Takato Yasuno, Hiroaki Sugawara, Junichiro Fujii, Ryuto Yoshida:
Snowy Night-to-Day Translator and Semantic Segmentation Label Similarity for Snow Hazard Indicator. - Beiran Chen, Mingming Liu, Yi Zhang, Zhengyong Chen, Yingqi Gu, Noel E. O'Connor:
An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm. - Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu:
A Survey on Deep Semi-supervised Learning. - V. S. Ch Lakshmi Narayana, Mohit Agarwala, Nikhil Karamchandani, Sharayu Moharir:
Online Partial Service Hosting at the Edge. - Hu Ding, Jiawei Huang:
Is Simple Uniform Sampling Efficient for Center-Based Clustering With Outliers: When and Why? - Maxime Vidal, Nathan Wolf, Beth Rosenberg, Bradley P. Harris, Alexander Mathis:
Perspectives on individual animal identification from biology and computer vision. - Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
CREATe: Clinical Report Extraction and Annotation Technology. - Casper Benjamin Freksen:
An Introduction to Johnson-Lindenstrauss Transforms. - Jesmin Jahan Tithi, Fabio Checconi, Douglas Doerfler, Fabrizio Petrini:
Performance Optimization of SU3_Bench on Xeon and Programmable Integrated Unified Memory Architecture. - Vladislav Mikhailov, Ekaterina Taktasheva, Elina Sigdel, Ekaterina Artemova:
RuSentEval: Linguistic Source, Encoder Force! - Justin Bui, Robert J. Marks II:
A Proof of Concept Neural Network Watchdog using a Hybrid Generative Classifier For Optimized Outlier Detection. - Nigora Gafur, Gajanan Kanagalingam, Martin Ruskowski:
Dynamic collision avoidance for multiple robotic manipulators based on a non-cooperative multi-agent game. - Luca Sestini, Benoit Rosa, Elena De Momi, Giancarlo Ferrigno, Nicolas Padoy:
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images. - Vitalis Salis, Thodoris Sotiropoulos, Panos Louridas, Diomidis Spinellis, Dimitris Mitropoulos:
PyCG: Practical Call Graph Generation in Python. - Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Symbolic Operators for Task and Motion Planning. - Antonin Durey, Pierre Laperdrix, Walter Rudametkin, Romain Rouvoy:
An iterative technique to identify browser fingerprinting scripts. - Guanqun Cao, Jiaqi Jiang, Chen Lu, Daniel Fernandes Gomes, Shan Luo:
TouchRoller: A Rolling Optical Tactile Sensor for Rapid Assessment of Large Surfaces. - Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang:
COVID-19: Detecting Depression Signals during Stay-At-Home Period. - Gareth Jones, Jim Parr, Perumal Nithiarasu, Sanjay Pant:
Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database. - Henry Hanifan, Ben Watson, John Cartlidge, Dave Cliff:
Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders. - David A. Noever, Samantha E. Miller Noever:
Virus-MNIST: A Benchmark Malware Dataset. - Yunchou Xing, Theodore S. Rappaport:
Terahertz Wireless Communications: Research Issues and Challenges for Active and Passive Systems in Space and on the Ground above 100 GHz. - Bingzhao Zhu, Mahsa Shoaran:
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection. - Vignesh Prasad, Ruth Stock-Homburg, Jan Peters:
Learning Human-like Hand Reaching for Human-Robot Handshaking. - Bedrich Sousedík, Howard C. Elman, Kookjin Lee, Randy Price:
On Surrogate Learning for Linear Stability Assessment of Navier-Stokes Equations with Stochastic Viscosity. - Julien Pérolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin:
Scaling up Mean Field Games with Online Mirror Descent. - Giuseppe Carere, Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza, Rob Stevenson:
A weighted POD-reduction approach for parametrized PDE-constrained Optimal Control Problems with random inputs and applications to environmental sciences. - Hemant Rathore, Sanjay K. Sahay, Shivin Thukral, Mohit Sewak:
Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering. - Hemant Rathore, Sanjay K. Sahay, Ritvik Rajvanshi, Mohit Sewak:
Identification of Significant Permissions for Efficient Android Malware Detection. - Hassan Jafarzadeh, Cody H. Fleming:
DMPC: A Data-and Model-Driven Approach to Predictive Control. - Jonathan Zhao, Matthew Westerham, Mark Lakatos-Toth, Zhikang Zhang, Avi Moskoff, Fengbo Ren:
OpenICS: Open Image Compressive Sensing Toolbox and Benchmark. - Cristiana de Farias, Naresh Marturi, Rustam Stolkin, Yasemin Bekiroglu:
Simultaneous Tactile Exploration and Grasp Refinement for Unknown Objects. - Eric Pryzant, Qicong Deng, Bill Mei, Evan Shrestha:
Achieving Competitive Play Through Bottom-Up Approach in Semantic Segmentation. - Aasma Aslam, Babar Hussian:
Emotion recognition techniques with rule based and machine learning approaches. - Christopher Brissette, George M. Slota:
A simple method for improving the accuracy of Chung-Lu random graph generation. - Henry Xu, An Ju, David A. Wagner:
Model-Agnostic Defense for Lane Detection against Adversarial Attack. - Avrim Blum, Steve Hanneke, Jian Qian, Han Shao:
Robust learning under clean-label attack. - Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu:
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. - Tomoyuki Iori, Toshiyuki Ohtsuka:
Bayesian filtering for nonlinear stochastic systems using holonomic gradient method with integral transform. - Tom Roth, Yansong Gao, Alsharif Abuadbba, Surya Nepal, Wei Liu:
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey. - Xiaodong Ren, Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen:
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection. - Marina Haliem, Trevor Bonjour, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat K. Bhargava, Mayank Kejriwal:
Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach. - Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair:
High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems. - Daniele Funaro, Gianmarco Manzini:
Stability and conservation properties of Hermite-based approximations of the Vlasov-Poisson system. - Roozbeh Yousefzadeh:
Federated Learning without Revealing the Decision Boundaries. - Don Kurian Dennis, Tian Li, Virginia Smith:
Heterogeneity for the Win: One-Shot Federated Clustering. - (Withdrawn) Infrastructure Assisted Constrained Connected Automated Vehicle Trajectory Optimization on Curved Roads: A Spatial Formulation on a Curvilinear Coordinate.
- Huilan Zeng, Chensong Zhang, Shuo Zhang:
A low-degree strictly conservative finite element method for incompressible flows. - Yudi Chen, Angel Umana, Chaowei Yang, Wenying Ji:
Condition Sensing for Electricity Infrastructure in Disasters by Mining Public Topics from Social Media. - Ruizhe Long, Ying-Chang Liang, Yiyang Pei, Erik G. Larsson:
Active Reconfigurable Intelligent Surface Aided Wireless Communications. - Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. - Yangyu Hu, Haoyu Wang, Tiantong Ji, Xusheng Xiao, Xiapu Luo, Peng Gao, Yao Guo:
CHAMP: Characterizing Undesired App Behaviors from User Comments based on Market Policies. - Xin Li, Yu Zheng:
Lower Bounds and Improved Algorithms for Asymmetric Streaming Edit Distance and Longest Common Subsequence. - Keyu Li, Jian Wang, Yangxin Xu, Hao Qin, Dongsheng Liu, Li Liu, Max Q.-H. Meng:
Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning. - Ziqing Lu, Chang Xu, Bo Du, Takashi Ishida, Lefei Zhang, Masashi Sugiyama:
LocalDrop: A Hybrid Regularization for Deep Neural Networks. - Yunyun Ma, Fuming Ma, Yukun Guo, Jingzhi Li:
Computation of transmission eigenvalues by the regularized Schur complement for the boundary integral operators. - Wang Zijia, Li Ye, Zhu Zhongkai:
BERT-based knowledge extraction method of unstructured domain text. - Rob van Glabbeek, Ursula Goltz, Jens-Wolfhard Schicke:
On Causal Semantics of Petri Nets. - Gwonsoo Che, Hongseok Yang:
Meta-Learning an Inference Algorithm for Probabilistic Programs. - Aoran Xiao, Xiaofei Yang, Shijian Lu, Dayan Guan, Jiaxing Huang:
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation. - Vedang M. Deshpande, Raktim Bhattacharya:
Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments. - Weiguo Wang, Sourav S. Bhowmick, Hui Li, Shafiq R. Joty, Siyuan Liu, Peng Chen:
Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans. - Linping Yuan, Wei Zeng, Siwei Fu, Zhiliang Zeng, Haotian Li, Chi-Wing Fu, Huamin Qu:
Deep Colormap Extraction from Visualizations. - Ziwei Zhang, Xin Wang, Wenwu Zhu:
Automated Machine Learning on Graphs: A Survey. - Jackie Ayoub, X. Jessie Yang, Feng Zhou:
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models. - Vedang M. Deshpande, Raktim Bhattacharya:
Sensor Selection and Optimal Precision in H2/H∞ Estimation Framework: Theory and Algorithms. - Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum:
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. - Atoosa Kasirzadeh:
Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence. - Xindi Wang, Chi-Tsun Cheng, Lei Deng, Xiaojing Chen, Fu Xiao:
Technical Report for A Joint User Scheduling and Trajectory Planning Data Collection Strategy for the UAV-assisted WSN. - Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi:
Adaptive Sampling for Minimax Fair Classification. - Severiano González-Pinto, Domingo Hernández-Abreu, Maria Soledad Pérez-Rodríguez, Arash Sarshar, Steven Roberts, Adrian Sandu:
A unified formulation of splitting-based implicit time integration schemes. - Ghurumuruhan Ganesan:
Real-time error correction codes for deletable errors. - Ukcheol Shin, Kyunghyun Lee, Seokju Lee, In So Kweon:
Unsupervised Depth and Ego-motion Estimation for Monocular Thermal Video using Multi-spectral Consistency Loss. - Fanbo Xiang, Zexiang Xu, Milos Hasan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su:
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering. - Amirali Boroumand, Saugata Ghose, Berkin Akin, Ravi Narayanaswami, Geraldo F. Oliveira, Xiaoyu Ma, Eric Shiu, Onur Mutlu:
Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models. - Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning. - Yinglin Duan, Tianyang Shi, Zhengxia Zou, Yenan Lin, Zhehui Qian, Bohan Zhang, Yi Yuan:
Single-Shot Motion Completion with Transformer. - Fangyu Gai, Ali Farahbakhsh, Jianyu Niu, Chen Feng, Ivan Beschastnikh, Hao Duan:
Dissecting the Performance of Chained-BFT. - Mahsa Paknezhad, Cuong Phuc Ngo, Amadeus Aristo Winarto, Alistair Cheong, Beh Chuen Yang, Jiayang Wu, Hwee Kuan Lee:
Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis. - Hikaru Morita, Saeko Matsuura:
validation method to improve behavioral flows on uml requirements analysis model by cross-checking with state transition model. - Zhilin Chen, Foad Sohrabi, Wei Yu:
Sparse Activity Detection in Multi-Cell Massive MIMO Exploiting Channel Large-Scale Fading. - Mu Hu, Shuling Wang, Bin Li, Shiyu Ning, Li Fan, Xiaojin Gong:
PENet: Towards Precise and Efficient Image Guided Depth Completion. - Masashi Yokozuka, Kenji Koide, Shuji Oishi, Atsuhiko Banno:
LiTAMIN2: Ultra Light LiDAR-based SLAM using Geometric Approximation applied with KL-Divergence. - Chuhui Xue, Shijian Lu, Steven C. H. Hoi:
Detection and Rectification of Arbitrary Shaped Scene Texts by using Text Keypoints and Links. - Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations. - Bahram Yaghooti, Raffaele Romagnoli, Bruno Sinopoli:
Physical Watermarking for Replay Attack Detection in Continuous-time Systems. - Renbo Zhu, Meng Ma, Ping Wang:
RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment. - Namyong Park, Minhyeok Kim, Nguyen Xuan Hoai, Robert I. McKay, Dong-Kyun Kim:
Knowledge-Guided Dynamic Systems Modeling: A Case Study on Modeling River Water Quality. - Shuchang Lyu, Ting-Bing Xu, Guangliang Cheng:
Embedded Knowledge Distillation in Depth-level Dynamic Neural Network. - Haoran You, Zhihan Lu, Zijian Zhou, Yingyan Lin:
GEBT: Drawing Early-Bird Tickets in Graph Convolutional Network Training. - Amirali Boroumand, Saugata Ghose, Geraldo F. Oliveira, Onur Mutlu:
Polynesia: Enabling Effective Hybrid Transactional/Analytical Databases with Specialized Hardware/Software Co-Design. - Yiming Qiu, Kang Zhang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
Query Rewriting via Cycle-Consistent Translation for E-Commerce Search. - He Zhang, Zhixiong Nan, Tao Yang, Yifan Liu, Nanning Zheng:
A Driving Behavior Recognition Model with Bi-LSTM and Multi-Scale CNN. - Je Hyeong Hong, Hanjo Kim, Minsoo Kim, Gi Pyo Nam, Junghyun Cho, Hyeong-Seok Ko, Ig-Jae Kim:
A 3D model-based approach for fitting masks to faces in the wild. - Mingzhe Wang, Zhiyong Wu, Xinyi Xu, Jie Liang, Chijin Zhou, Huafeng Zhang, Yu Jiang:
Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing. - Sai Vemprala, Sami Mian, Ashish Kapoor:
Representation Learning for Event-based Visuomotor Policies. - Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu:
Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images. - Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir:
MFST: Multi-Features Siamese Tracker. - Lu Shi, Konstantinos Karydis:
Enhancement for Robustness of Koopman Operator-based Data-driven Mobile Robotic Systems. - Yi Wei, Xue Mei, Xin Liu, Pengxiang Xu:
DST: Data Selection and joint Training for Learning with Noisy Labels. - Dinh Dung, Van Kien Nguyen, Mai Xuan Thao:
Computation complexity of deep ReLU neural networks in high-dimensional approximation. - Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. - Wenhe Zhang, Jin He, Kevin Song:
Rethinking complexity for software code structures: A pioneering study on Linux kernel code repository. - Vera Sosnovik, Oana Goga:
Understanding the Complexity of Detecting Political Ads. - Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang:
M6: A Chinese Multimodal Pretrainer. - Wenchao Zhai, Yishan Wu, Jun Zhao, Huimei Han:
6G Downlink Transmission via Rate Splitting Space Division Multiple Access Based on Grouped Code Index Modulation. - Jonghyeon Ko, Marco Comuzzi:
Online anomaly detection using statistical leverage for streaming business process events. - Yu Zhang, Xiaoguang Di, Bin Zhang, Qingyan Li, Shiyu Yan, Chunhui Wang:
Self-supervised Low Light Image Enhancement and Denoising. - Thomas Pellegrini, Timothée Masquelier:
Fast threshold optimization for multi-label audio tagging using Surrogate gradient learning. - Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. - Rongjiao Ji, Alessandra Micheletti, Natasa Krklec Jerinkic, Zoranka Desnica:
Emotion pattern detection on facial videos using functional statistics. - Huimin Peng:
A Brief Summary of Interactions Between Meta-Learning and Self-Supervised Learning. - Shahroz Tariq, Sowon Jeon, Simon S. Woo:
Am I a Real or Fake Celebrity? Measuring Commercial Face Recognition Web APIs under Deepfake Impersonation Attack. - Xiao Huang, Hong Qiao, Hui Li, Zhihong Jiang:
A Bioinspired Retinal Neural Network for Accurately Extracting Small-Target Motion Information in Cluttered Backgrounds. - Tomás Gergelits, Bjørn Fredrik Nielsen, Zdenek Strakos:
Numerical approximation of the spectrum of self-adjoint continuously invertible operators. - Aly Magassouba, Komei Sugiura, Hisashi Kawai:
CrossMap Transformer: A Crossmodal Masked Path Transformer Using Double Back-Translation for Vision-and-Language Navigation. - Vinay Kaushik, Kartik Jindgar, Brejesh Lall:
ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation. - Rajaswa Patil, Jasleen Dhillon, Siddhant Mahurkar, Saumitra Kulkarni, Manav Malhotra, Veeky Baths:
Vyākarana: A Colorless Green Benchmark for Syntactic Evaluation in Indic Languages. - Xiao Huang, Hong Qiao, Hui Li, Zhihong Jiang:
A Bioinspired Approach-Sensitive Neural Network for Collision Detection in Cluttered and Dynamic Backgrounds. - Jiaoyi Zhang, Yihan Gao:
CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm. - Chongyi Li, Chunle Guo, Chen Change Loy:
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation. - Mingrui Zhang, Jianzhong Liu, Fuchen Ma, Huafeng Zhang, Yu Jiang:
IntelliGen: Automatic Driver Synthesis for FuzzTesting. - Prerona Chatterjee:
Separating ABPs and Some Structured Formulas in the Non-Commutative Setting. - Wael Mattar, Nir Sharon:
Pyramid Transform of Manifold Data via Subdivision Operators. - Alexander Jaus, Kailun Yang, Rainer Stiefelhagen:
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning. - David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul Newman:
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning. - Phong Tran, Anh Tran, Thao Nguyen, Minh Hoai:
FineNet: Frame Interpolation and Enhancement for Face Video Deblurring. - Tianci Yang, Chen Lv:
Secure Estimation and Attack Isolation for Connected and Automated Driving in the Presence of Malicious Vehicles. - Shuo Chen, Kailun Yang, Rainer Stiefelhagen:
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change Detection. - Akhila Sri Manasa Venigalla, Sridhar Chimalakonda:
Understanding Emotions of Developer Community Towards Software Documentation. - Tianci Yang, Chen Lv:
A Secure Sensor Fusion Framework for Connected and Automated Vehicles under Sensor Attacks. - Lasse Hansen, Mattias P. Heinrich:
Deep learning based geometric registration for medical images: How accurate can we get without visual features? - Zhongqi Yue, Tan Wang, Hanwang Zhang, Qianru Sun, Xian-Sheng Hua:
Counterfactual Zero-Shot and Open-Set Visual Recognition. - Bastian Harrach:
An introduction to finite element methods for inverse coefficient problems in elliptic PDEs. - Yanzhen Ren, Yiwen Liu, Lina Wang:
Using contrastive learning to improve the performance of steganalysis schemes. - Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada:
Computationally Efficient Wasserstein Loss for Structured Labels. - Bamdev Mishra, N. T. V. Satya Dev, Hiroyuki Kasai, Pratik Jawanpuria:
Manifold optimization for optimal transport. - Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo:
STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection. - Zhao-Heng Yin, Lingfeng Sun, Liting Sun, Masayoshi Tomizuka, Wei Zhan:
Diverse Critical Interaction Generation for Planning and Planner Evaluation. - Elliot Anshelevich, Aris Filos-Ratsikas, Nisarg Shah, Alexandros A. Voudouris:
Distortion in Social Choice Problems: The First 15 Years and Beyond. - Hai Dang, Daniel Buschek:
GestureMap: Supporting Visual Analytics and Quantitative Analysis of Motion Elicitation Data by Learning 2D Embeddings. - Hung Du, Yong-Bin Kang:
An open-source framework for ExpFinder integrating N-gram Vector Space Model and μCO-HITS. - Gabriel de Albuquerque Gleizer, Manuel Mazo Jr.:
Computing the sampling performance of event-triggered control. - Sarah Janboecke, Susanne Zajitschek:
Anticipation Next - System-sensitive technology development and integration in work contexts. - Mohammadreza Kasaei, Miguel Abreu, Nuno Lau, Artur Pereira, Luís Paulo Reis:
A CPG-Based Agile and Versatile Locomotion Framework Using Proximal Symmetry Loss. - Huangying Zhan, Chamara Saroj Weerasekera, Jia-Wang Bian, Ravi Garg, Ian D. Reid:
DF-VO: What Should Be Learnt for Visual Odometry? - Xiaoling Hu, Caijun Zhong, Zhaoyang Zhang:
Angle-Domain Intelligent Reflecting Surface Systems: Design and Analysis. - Hao Xu, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, Bing Zeng:
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration. - Fosco Loregiàn, Todd Trimble:
Differential 2-rigs. 159-182 - Michele Marino, Ferdinando Auricchio, Alessandro Reali, Elisabetta Rocca, Ulisse Stefanelli:
Mixed variational formulations for structural topology optimization based on the phase-field approach. - Magnus Steinby:
Directing Words of Fuzzy Finite Automata. - Dengyu Wu, Xinping Yi, Xiaowei Huang:
A Little Energy Goes a Long Way: Energy-Efficient, Accurate Conversion from Convolutional Neural Networks to Spiking Neural Networks. - Roger Marí, Carlo de Franchis, Enric Meinhardt-Llopis, Gabriele Facciolo:
Automatic Stockpile Volume Monitoring using Multi-view Stereo from SkySat Imagery. - Jean-Pierre Sleiman, Farbod Farshidian, Maria Vittoria Minniti, Marco Hutter:
A Unified MPC Framework for Whole-Body Dynamic Locomotion and Manipulation. - Yunshuang Li, Zheyuan Huang, Zexi Chen, Yue Wang, Rong Xiong:
Collaborative Recognition of Feasible region with Aerial and Ground Robots through DPCN. - Anjith George, Sébastien Marcel:
Cross Modal Focal Loss for RGBD Face Anti-Spoofing. - Patrik Joslin Kenfack, Daniil Dmitrievich Arapovy, Rasheed Hussain, S. M. Ahsan Kazmi, Adil Mehmood Khan:
On the Fairness of Generative Adversarial Networks (GANs). - Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian:
Adversarial Reciprocal Points Learning for Open Set Recognition. - Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Linguistic Study on Relevance Modeling in Information Retrieval. - Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. - Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: An Extensive Toolkit for Deep Learning on Graphs. - Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser:
Practices for Engineering Trustworthy Machine Learning Applications. - Francesco Conte, Bruno Gabriele, Stefano Massucco, Federico Silvestro, Diego Cirio, L. Croci:
Flexibility Evaluation of Domestic Electric Water Heater Aggregates. - Lucas N. Ribeiro, Stefan Schwarz, Martin Haardt:
Low-Complexity Zero-Forcing Precoding for XL-MIMO Transmissions. - Tom Philip Huck, Christoph Ledermann, Torsten Kröger:
Virtual Adversarial Humans finding Hazards in Robot Workplaces. - Liqun Qi, Gaohang Yu:
T-Singular Values and T-Sketching for Third Order Tensors. - Lovish Chopra, Sarthak Chakraborty, Abhijit Mondal, Sandip Chakraborty:
PARIMA: Viewport Adaptive 360-Degree Video Streaming. - Stefano Fiorini, Michele Ciavotta, Andrea Maurino:
Listening to the city, attentively: A Spatio-Temporal Attention Boosted Autoencoder for the Short-Term Flow Prediction Problem. - Maryam Sharifi, Dimos V. Dimarogonas:
Fixed-Time Convergent Control Barrier Functions for Coupled Multi-Agent Systems Under STL Tasks. - Christian Wildner, Heinz Koeppl:
Moment-Based Variational Inference for Stochastic Differential Equations. - Pratik Mazumder, Pravendra Singh, Piyush Rai:
Few-Shot Lifelong Learning. - Shun Takagi, Yang Cao, Masatoshi Yoshikawa:
Asymmetric Differential Privacy. - Peter Kokol, Marko Kokol, Saso Zagoranski:
Machine learning on small size samples: A synthetic knowledge synthesis. - Sarthak Pati, Siddhesh P. Thakur, Megh Bhalerao, Ujjwal Baid, Caleb M. Grenko, Brandon Edwards, Micah J. Sheller, Jose Agraz, Bhakti Baheti, Vishnu Bashyam, Parth Sharma, Babak Haghighi, Aimilia Gastounioti, Mark Bergman, Bjoern H. Menze, Despina Kontos, Christos Davatzikos, Spyridon Bakas:
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging. - Johannes Müller, Marius Zeinhofer:
Error Estimates for the Variational Training of Neural Networks with Boundary Penalty. - Charlie Blake, Vitaly Kurin, Maximilian Igl, Shimon Whiteson:
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing. - Lukas Beckenbach, Stefan Streif:
On performance bound estimation in NMPC with time-varying terminal cost. - Jiawei Lyu, Hui-Ming Wang:
Secure UAV Random Networks With Minimum Safety Distance. - Supriya Adhatarao, Cédric Lauradoux, Cristiana Santos:
IP-based Subject Access Requests Denied. - Jun Yuan, Oded Nov, Enrico Bertini:
Visualizing Rule Sets: Exploration and Validation of a Design Space. - Davide Zorzenon, Jan Komenda, Jörg Raisch:
Periodic trajectories in P-time event graphs and the non-positive circuit weight problem. - Piyush Shrivastava:
Neural Code Summarization. - Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani:
Information Discrepancy in Strategic Learning. - Justin Domke:
An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations. - Juliette Millet, Jean-Remi King:
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech. - Milos Savic, Jasna Atanasijevic, Dusan Jakovetic, Natasa Krejic:
Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method. - Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth:
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. - Elmira Amirloo Abolfathi, Mohsen Rohani, Ershad Banijamali, Jun Luo, Pascal Poupart:
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map. - Shoaib Sufi:
The Rise of a New Digital Third Space Professional in Higher Education: Recognising Research Software Engineering. - Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Velickovic:
Persistent Message Passing. - Georgi Nalbantov, Dimitar Todorov, Nikolay Zografov, Stefan Georgiev, Nadia Bojilova:
Predictive Maintenance Tool for Non-Intrusive Inspection Systems. - Jeremy Bernstein, Yisong Yue:
Computing the Information Content of Trained Neural Networks. - Anish Mallick, Anil Shukla:
Extending Prolog for Quantified Boolean Horn Formulas. - Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu:
Diversifying Sample Generation for Accurate Data-Free Quantization. - Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu:
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. - Marek Chrobak, Mordecai J. Golin, J. Ian Munro, Neal E. Young:
On the Cost of Unsuccessful Searches in Search Trees with Two-way Comparisons. - Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham:
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. - Rui Wang, Zhe Xing, Erwu Liu:
Joint Location and Communication Study for Intelligent Reflecting Surface Aided Wireless Communication System. - Badr AlKhamissi, Mohamed Gabr, Muhammad N. ElNokrashy, Khaled Essam:
Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task. - Andrea Asperti, Davide Evangelista, Elena Loli Piccolomini:
A survey on Variational Autoencoders from a GreenAI perspective. - Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler:
OmniNet: Omnidirectional Representations from Transformers. - Aming Wu, Yahong Han, Linchao Zhu, Yi Yang, Cheng Deng:
Universal-Prototype Augmentation for Few-Shot Object Detection. - Renata de Podestá Gaspar, Rodrigo Bonacin, Vinícius P. Gonçalves:
Um Estudo sobre Atividades Participativas para Soluções IoT para o Home care de Pessoas Idosas. - Yanjie Mei, Yao Cheng, Sulei Wang, Zhijie Xu:
Local discontinuous Galerkin method on layer-adapted meshes for singularly perturbed reaction-diffusion problems in two dimensions. - Marek Chrobak, Mordecai J. Golin, J. Ian Munro, Neal E. Young:
A Simple Algorithm for Optimal Search Trees with Two-Way Comparisons. - Akash Kumar Dhaka, Alejandro Catalina, Manushi Welandawe, Michael Riis Andersen, Jonathan H. Huggins, Aki Vehtari:
Challenges and Opportunities in High-dimensional Variational Inference. - Peter Kokol, Marko Kokol, Saso Zagoranski:
Code smells: A Synthetic Narrative Review. - Qingru Zhang, David Wipf, Quan Gan, Le Song:
A Biased Graph Neural Network Sampler with Near-Optimal Regret. - Way Tan, Bihan Wen, Xulei Yang:
Systematic Analysis and Removal of Circular Artifacts for StyleGAN. - Xiaofei Wang, Fangxing Li, Jin Dong, Mohammed M. Olama, Qiwei Zhang, Qingxin Shi, Byungkwon Park, P. Teja Kuruganti:
Trilevel Scheduling Model Considering Residential Demand Flexibility of Aggregated HVACs and EVs under Distribution LMP. - Orsolya Vasarhelyi, Balazs Vedres:
Gender Typicality of Behavior Predicts Success on Creative Platforms. - Peter Kokol, Saso Zagoranski, Marko Kokol:
Software Development with Scrum: A Bibliometric Analysis and Profile. - Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada:
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms. - Peter Kokol, Jernej Zavrsnik, Marko Turcin, Helena Blazun Vosner:
Enhancing the role of academic librarians in conducting scoping reviews. - Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander:
Categorical Depth Distribution Network for Monocular 3D Object Detection. - Nicola Guglielmi, Elisa Iacomini, Alex Viguerie:
Delay differential equations for the spatially-resolved simulation of epidemics with specific application to COVID-19. - Jean-Pierre Sleiman, Jan Carius, Ruben Grandia, Martin Wermelinger, Marco Hutter:
Contact-Implicit Trajectory Optimization for Dynamic Object Manipulation. - Carl Corea, Matthias Thimm, Patrick Delfmann:
Measuring Inconsistency over Sequences of Business Rule Cases. - Georgi Nalbantov, Svetoslav Ivanov:
Optimal Linear Combination of Classifiers. - Juan Carlos Mier, Eddie Huang, Hossein Talebi, Feng Yang, Peyman Milanfar:
Deep Perceptual Image Quality Assessment for Compression. - Rui Wang, Heju Li, Erwu Liu:
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles. - Richard John Preen, Larry Bull:
Deep Learning with a Classifier System: Initial Results. - Mohammad Akyash, Hoda Mohammadzade, Hamid Behroozi:
DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification. - Yigit Alparslan, Edward Kim:
Extreme Volatility Prediction in Stock Market: When GameStop meets Long Short-Term Memory Networks. - Mikhail Sarafanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya:
Automated data-driven approach for gap filling in the time series using evolutionary learning. - Zhihao Yuan, Xu Yan, Yinghong Liao, Ruimao Zhang, Zhen Li, Shuguang Cui:
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring. - Christian Henning, Maria R. Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, João Sacramento, Benjamin F. Grewe:
Posterior Meta-Replay for Continual Learning. - Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP:
Domain Generalization via Inference-time Label-Preserving Target Projections. - Roberto Morelli, Luca Clissa, Marco Dalla, Marco Luppi, Lorenzo Rinaldi, Antonio Zoccoli:
Automatic Cell Counting in Flourescent Microscopy Using Deep Learning. - Mohammad Mozaffari, Xingqin Lin, Stephen Hayes:
Towards 6G with Connected Sky: UAVs and Beyond. - Ahmed Imam, Tapajit Dey, Alexander Nolte, Audris Mockus, James D. Herbsleb:
The Secret Life of Hackathon Code. - Alessandro Budroni, Igor Semaev:
New Public-Key Crypto-System EHT. - Alperen Görmez, Erdem Koyuncu:
Class Means as an Early Exit Decision Mechanism. - Jens Schneider, Marco Agus:
Reflections on the Clinical Acceptance of Artificial Intelligence. - Yunchou Xing, Theodore S. Rappaport:
Propagation Measurements and Path Loss Models for sub-THz in Urban Microcells. - Franco Dassi, Carlo Lovadina, Michele Visinoni:
Hybridization of the Virtual Element Method for linear elasticity problems. - Rediet Abebe, Kehinde D. Aruleba, Abeba Birhane, Sara Kingsley, George Obaido, Sekou L. Remy, Swathi Sadagopan:
Narratives and Counternarratives on Data Sharing in Africa. - Sanja Scepanovic, Luca Maria Aiello, Ke Zhou, Sagar Joglekar, Daniele Quercia:
The Healthy States of America: Creating a Health Taxonomy with Social Media. - Philipp Wiesner, Lauritz Thamsen:
LEAF: Simulating Large Energy-Aware Fog Computing Environments. - William Macke, Reuth Mirsky, Peter Stone:
Expected Value of Communication for Planning in Ad Hoc Teamwork. - Benedikt T. Boenninghoff, Robert M. Nickel, Steffen Zeiler, Dorothea Kolossa:
Unsupervised Classification of Voiced Speech and Pitch Tracking Using Forward-Backward Kalman Filtering. - Giacomo Valente, Tiziana Fanni, Carlo Sau, Francesco Di Battista:
Layering the monitoring action for improved flexibility and overhead control: work-in-progress. - Guillermo Angeris, Alex Evans, Tarun Chitra:
A Note on Privacy in Constant Function Market Makers. - Yu Cao, Jianfeng Lu:
Structure-preserving numerical schemes for Lindblad equations. - Tiziana Fanni, Daniel Madroñal, Claudio Rubattu, Carlo Sau, Francesca Palumbo, Eduardo Juárez, Maxime Pelcat, César Sanz, Luigi Raffo:
Run-time Performance Monitoring of Heterogenous Hw/Sw Platforms Using PAPI. - Kashif Ahmad, Firoj Alam, Junaid Qadir, Basheer Qolomany, Imran Khan, Talhat Khan, Muhammad Suleman, Naina Said, Syed Zohaib Hassan, Asma Gul, Ala I. Al-Fuqaha:
Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset. - Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer, Yoshua Bengio:
Coordination Among Neural Modules Through a Shared Global Workspace. - Sydney M. Katz, Kyle D. Julian, Christopher A. Strong, Mykel J. Kochenderfer:
Generating Probabilistic Safety Guarantees for Neural Network Controllers. - Justin K. Terry, Mario Jayakumar, Kusal De Alwis:
Statistically Significant Stopping of Neural Network Training. - Baturalp Buyukates, Emre Ozfatura, Sennur Ulukus, Deniz Gündüz:
Gradient Coding with Dynamic Clustering for Straggler-Tolerant Distributed Learning. - Houssem Haddar, Mohamed Kamel Riahi:
Near-Field Linear Sampling Method forAxisymmetric Eddy Current Tomography. - Francesco Croce, Matthias Hein:
Mind the box: l1-APGD for sparse adversarial attacks on image classifiers. - Drew A. Hudson, C. Lawrence Zitnick:
Generative Adversarial Transformers. - Eran Malach, Pritish Kamath, Emmanuel Abbe, Nathan Srebro:
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels. - Yan Gu, Omar Obeya, Julian Shun:
Parallel In-Place Algorithms: Theory and Practice. - Gorsev Argin, Burak Pak, Handan Turkoglu:
Between Post-Flaneur and Smartphone Zombie Smartphone Users Altering Visual Attention and Walking Behavior in Public Space. - Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir:
Multiple Convolutional Features in Siamese Networks for Object Tracking. - Atif Ikram, Masita Abdul Jalil, Amir Bin Ngah, Ahmad Salman Khan, Tahir Iqbal:
Offshore Software Maintenance Outsourcing Predicting Clients Proposal using Supervised Learning. - Avia Efrat, Uri Shaham, Dan Kilman, Omer Levy:
Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language. - Lan Fu, Changqing Zhou, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang:
Auto-Exposure Fusion for Single-Image Shadow Removal. - Lara Hoffmann, Ines Fortmeier, Clemens Elster:
Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements. - Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbic:
A Deep Emulator for Secondary Motion of 3D Characters. - Gustavo A. Nunez Segura, Arsenia Chorti, Cíntia Borges Margi:
Centralized and Distributed Intrusion Detection for Resource Constrained Wireless SDN Networks. - C. Mohan, Luis A. Camuñas-Mesa, José M. de la Rosa, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
Implementation of binary stochastic STDP learning using chalcogenide-based memristive devices. - Taeke de Haan, Padmaja Kulkarni, Robert Babuska:
Geometry-Based Grasping of Vine Tomatoes. - Rob van der Goot, Ahmet Üstün, Barbara Plank:
On the Effectiveness of Dataset Embeddings in Mono-lingual, Multi-lingual and Zero-shot Conditions. - Morayo Soetan, Zeyu Mao, Katherine R. Davis:
Statistics for Building Synthetic Power System Cyber Models. - Jacob D. Abernethy, Pranjal Awasthi, Satyen Kale:
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness. - Raef Bassily, Cristóbal Guzmán, Anupama Nandi:
Non-Euclidean Differentially Private Stochastic Convex Optimization. - Nurefsan Sertbas Bülbül, Doganalp Ergenç, Mathias Fischer:
SDN-based Self-Configuration for Time-Sensitive IoT Networks. - Sofi Backman, Daniel M. Lindmark, Kenneth Bodin, Martin Servin, Joakim Mörk, Håkan Löfgren:
Continuous control of an underground loader using deep reinforcement learning. - Matías Molina, Jorge Sánchez:
Performance Variability in Zero-Shot Classification. - Jean-Luc Guermond, Bojan Popov, Eric Tovar, Chris E. Kees:
Hyperbolic relaxation technique for solving the dispersive Serre Equations with topography. - Ziming Li, Dookun Park, Julia Kiseleva, Young-Bum Kim, Sungjin Lee:
A Data-driven Approach to Estimate User Satisfaction in Multi-turn Dialogues. - Florian Klück, Lorenz Klampfl, Franz Wotawa:
Automatic Generation of Challenging Road Networks for ALKS Testing based on Bezier Curves and Search. - Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Generative Particle Variational Inference via Estimation of Functional Gradients. - Wojciech Czaja, Weilin Li, Yiran Li, Michael J. Pekala:
Maximal function pooling with applications. - Huanyu Zhang, Ilya Mironov, Meisam Hejazinia:
Wide Network Learning with Differential Privacy. - Mythra V. Balakuntala, Upinder Kaur, Xin Ma, Juan P. Wachs, Richard M. Voyles:
Learning Multimodal Contact-Rich Skills from Demonstrations Without Reward Engineering. - Jens Helge Reelfs, Max Bergmann, Oliver Hohlfeld, Niklas Henckell:
Understanding & Predicting User Lifetime with Machine Learning in an Anonymous Location-Based Social Network. - Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya:
Multi-Objective Evolutionary Design of Composite Data-Driven Models. - Kumara Kahatapitiya, Michael S. Ryoo:
Coarse-Fine Networks for Temporal Activity Detection in Videos. - Wojciech Czaja, Ilya Kavalerov, Weilin Li:
Exploring the high dimensional geometry of HSI features. - Edward Hutter, Edgar Solomonik:
Accelerating Distributed-Memory Autotuning via Statistical Analysis of Execution Paths. - Philipp Jund, Chris Sweeney, Nichola Abdo, Zhifeng Chen, Jonathon Shlens:
Scalable Scene Flow from Point Clouds in the Real World. - Shurui Li, Wojciech Romaszkan, Alexander Graening, Puneet Gupta:
SWIS - Shared Weight bIt Sparsity for Efficient Neural Network Acceleration. - Alistair G. Sutcliffe, Pete Sawyer, Wei Liu, Nelly Bencomo:
Investigating the potential impact of values on requirements and software engineering. - Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
SWP: Microsecond Network SLOs Without Priorities. - Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. - Devansh Shah, Parijat Dube, Supriyo Chakraborty, Ashish Verma:
Adversarial training in communication constrained federated learning. - Shakila Zaman, Muhammad R. A. Khandaker, Risala T. Khan, Faisal Tariq, Kai-Kit Wong:
Thinking Out of the Blocks: Holochain for Distributed Security in IoT Healthcare. - Tong Xiang, Sean MacAvaney, Eugene Yang, Nazli Goharian:
ToxCCIn: Toxic Content Classification with Interpretability. - Yuki Shirai, Xuan Lin, Ankur Mehta, Dennis W. Hong:
LTO: Lazy Trajectory Optimization with Graph-Search Planning for High DOF Robots in Cluttered Environments. - Juan S. Lara, Mario Ezra Aragón, Fabio A. González, Manuel Montes-y-Gómez:
Deep Bag-of-Sub-Emotions for Depression Detection in Social Media. - Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
How Fair is Fairness-aware Representative Ranking and Methods for Fair Ranking. - Naman Agarwal, Surbhi Goel, Cyril Zhang:
Acceleration via Fractal Learning Rate Schedules. - Annibale Panichella, Cynthia C. S. Liem:
What Are We Really Testing in Mutation Testing for Machine Learning? A Critical Reflection. - Jiachen Yang, Tarik Dzanic, Brenden K. Petersen, Jun Kudo, Ketan Mittal, Vladimir Z. Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio V. Kolev, Robert W. Anderson, Daniel M. Faissol:
Reinforcement Learning for Adaptive Mesh Refinement. - Ali Rahimi, Mohammad Ali Maddah-Ali:
Multi-Party Proof Generation in QAP-based zk-SNARKs. - Will E. Hipson, Saif M. Mohammad:
Emotion Dynamics in Movie Dialogues. - Pengyu Nie, Karl Palmskog, Junyi Jessy Li, Milos Gligoric:
Roosterize: Suggesting Lemma Names for Coq Verification Projects Using Deep Learning. - Nahyun Kwon, Yunjung Lee, Uran Oh:
Supporting a Crowd-powered Accessible Online Art Gallery for People with Visual Impairments: A Feasibility Study. - Xin Ye, Yezhou Yang:
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph. - Dongzhu Liu, Osvaldo Simeone:
Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. - Francisco Rivera Valverde, Juana Valeria Hurtado, Abhinav Valada:
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge. - Gerardo Ibarra-Vázquez, Gustavo Olague, Mariana Chan-Ley, Cesar Puente, Carlos Soubervielle-Montalvo:
Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learning. - Behrouz Rostami, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu:
Multiclass Burn Wound Image Classification Using Deep Convolutional Neural Networks. - Wayne Isaac Tan Uy, Benjamin Peherstorfer:
Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories. - Abdulrahman Alhazmi, Nalin Asanka Gamagedara Arachchilage:
I'm all Ears! Listening to Software Developers on Putting GDPR Principles into Software Development Practice. - Rishabh Singh, José C. Príncipe:
A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts. - Stephany Rajeh, Marinette Savonnet, Éric Leclercq, Hocine Cherifi:
Interplay Between Hierarchy and Centrality in Complex Networks. - Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg:
Contrastive Explanations for Model Interpretability. - Heather Pacella, Alec M. Dunton, Alireza Doostan, Gianluca Iaccarino:
Task-parallel in-situ temporal compression of large-scale computational fluid dynamics data. - Zheng Li:
Stop Building Castles on a Swamp! The Crisis of Reproducing Automatic Search in Evidence-based Software Engineering. - Zheng Li:
On a Factorial Knowledge Architecture for Data Science-powered Software Engineering. - Semih Cayci, Siddhartha Satpathi, Niao He, R. Srikant:
Sample Complexity and Overparameterization Bounds for Projection-Free Neural TD Learning. - Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha:
Object Allocation Over a Network of Objects: Mobile Agents with Strict Preferences. - Peter Baumgartner:
The Fusemate Logic Programming System (System Description). - Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen:
DeepReDuce: ReLU Reduction for Fast Private Inference. - Moses Charikar, Lunjia Hu:
Approximation Algorithms for Orthogonal Non-negative Matrix Factorization. - Aryaman Arora, Nitin Venkateswaran, Nathan Schneider:
Hindi-Urdu Adposition and Case Supersenses v1.0. - Sekitoshi Kanai, Masanori Yamada, Hiroshi Takahashi, Yuki Yamanaka, Yasutoshi Ida:
Smoothness Analysis of Loss Functions of Adversarial Training. - Qing Li, Siyuan Huang, Yining Hong, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
A HINT from Arithmetic: On Systematic Generalization of Perception, Syntax, and Semantics. - Qiukai Qi, Shogo Yoshida, Genki Kakihana, Takuma Torii, Van Anh Ho, Haoran Xie:
BPActuators: Lightweight and Low-Cost Soft Actuators by Balloons and Plastics. - Farhad Farokhi, Alex S. Leong, Iman Shames, Mohammad Zamani:
Safe Learning of Uncertain Environments for Nonlinear Control-Affine Systems. - A. S. M. Mahmudul Hasan, Ferdous Sohel, Dean Diepeveen, Hamid Laga, Michael G. K. Jones:
A Survey of Deep Learning Techniques for Weed Detection from Images. - Lihao Wang, Zongyi Li, Xiaoqing Zheng:
Unsupervised Word Segmentation with Bi-directional Neural Language Model. - Hyun-Suk Lee, Jang-Won Lee:
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning. - Ademola Okerinde, Lior Shamir, William Hsu, Tom Theis:
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines. - Sunny Dhamnani, Ritwik Sinha, Vishwa Vinay, Lilly Kumari, Margarita Savova:
Botcha: Detecting Malicious Non-Human Traffic in the Wild. - Yong-Bin Kang, Timos Sellis:
TopicTracker: A Platform for Topic Trajectory Identification and Visualisation. - Ke-Wen Huang, Hao Deng, Hui-Ming Wang:
Jamming Aided Covert Communication with Multiple Receivers. - Sulabh Kumra, Shirin Joshi, Ferat Sahin:
Learning Robotic Manipulation Tasks through Visual Planning. - Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko:
All at Once Network Quantization via Collaborative Knowledge Transfer. - Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick:
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations. - Zhize Li, Peter Richtárik:
ZeroSARAH: Efficient Nonconvex Finite-Sum Optimization with Zero Full Gradient Computation. - Danfeng Hong, Wei He, Naoto Yokoya, Jing Yao, Lianru Gao, Liangpei Zhang, Jocelyn Chanussot, Xiao Xiang Zhu:
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing. - Xiaodong Chen, Xinchen Liu, Wu Liu, Xiao-Ping Zhang, Yongdong Zhang, Tao Mei:
AttriMeter: An Attribute-guided Metric Interpreter for Person Re-Identification. - Jianzheng Wang, Yipeng Pang, Guoqiang Hu:
Social Profit Optimization with Demand Response Management in Electricity Market: A Multi-timescale Leader-following Approach. - Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. - Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji:
Image-to-image Translation via Hierarchical Style Disentanglement. - Shitong Luo, Wei Hu:
Diffusion Probabilistic Models for 3D Point Cloud Generation. - Timothy Murray, Jugal Garg, Rakesh Nagi:
Trust in Social Network Games. - Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi, Ryo Masumura:
Audio-Visual Speech Separation Using Cross-Modal Correspondence Loss. - Haoxin Ma, Justin S. Smith, Patricio A. Vela:
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies. - Brent A. Griffin, Jason J. Corso:
Depth from Camera Motion and Object Detection. - Eray Can Elumar, Mansi Sood, Osman Yagan:
On the Connectivity and Giant Component Size of Random K-out Graphs Under Randomly Deleted Nodes. - Jolin Shaynn-Ly Kwan, Kwan Hui Lim:
TweetCOVID: A System for Analyzing Public Sentiments and Discussions about COVID-19 via Twitter Activities. - Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu:
On Estimating Recommendation Evaluation Metrics under Sampling. - A. Eashaan Rao, Sridhar Chimalakonda:
Apples, Oranges & Fruits - Understanding Similarity of Software Projects Through The Lens of Dissimilar Artifacts. - Ugo Rosolia, Mohamadreza Ahmadi, Richard M. Murray, Aaron D. Ames:
Time-Optimal Navigation in Uncertain Environments with High-Level Specifications. - Ye Xue, Vincent K. N. Lau:
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method. - Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer:
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition. - Maarten van Steen, Andrew A. Chien, Patrick Eugster:
The Difficulty in Scaling Blockchains: A Simple Explanation. - Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda:
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities. - Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher:
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search. - Rob van Glabbeek, Ursula Goltz, Jens-Wolfhard Schicke-Uffmann:
Abstract Processes and Conflicts in Place/Transition Systems. - Wonyong Jeong, Hayeon Lee, Gun Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang:
Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning. - Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia:
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. - Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon:
A Survey On Universal Adversarial Attack. - Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. - Dongseok Yang, Doyeon Kim, Sung-Hee Lee:
Real-time Lower-body Pose Prediction from Sparse Upper-body Tracking Signals. - Hyunjun Lim, Yeeun Kim, Kwangyik Jung, Sumin Hu, Hyun Myung:
Avoiding Degeneracy for Monocular Visual SLAM with Point and Line Features. - Mohammad Movahednasab, Mohammad Reza Pakravan, Behrooz Makki, Tommy Svensson:
On Energy Allocation and Data Scheduling in Backscatter Networks with Multi-antenna Readers. - Mahdi Soleymani, Mohammad Vahid Jamali, Hessam Mahdavifar:
Coded Computing via Binary Linear Codes: Designs and Performance Limits. - Andrea Atzori, Silvio Barra, Salvatore Carta, Gianni Fenu, Alessandro Sebastian Podda:
Heimdall: an AI-based infrastructure for traffic monitoring and anomalies detection. - Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Multi-label Classification via Adaptive Resonance Theory-based Clustering. - Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar:
Private Stochastic Convex Optimization: Optimal Rates in 𝓁1 Geometry. - Marco Grazioso, Alessandro Sebastian Podda, Silvio Barra, Francesco Cutugno:
Natural interaction with traffic control cameras through multimodal interfaces. - Zhizhong Huang, Junping Zhang, Hongming Shan:
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework. - Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao:
On the Memory Mechanism of Tensor-Power Recurrent Models. - Mingfu Xue, Shichang Sun, Can He, Yushu Zhang, Jian Wang, Weiqiang Liu:
ActiveGuard: An Active DNN IP Protection Technique via Adversarial Examples. - Fanruiqi Zeng, Zaiwei Chen, John-Paul Clarke, David Goldsman:
Nested Vehicle Routing Problem: Optimizing Drone-Truck Surveillance Operations. - Qi Cai, Lilian Zhang, Yuanxin Wu, Wenxian Yu, Dewen Hu:
A Pose-only Solution to Visual Reconstruction and Navigation. - Liyang Zhou, Zhifang Zhang:
Explicit Construction of Minimum Bandwidth Rack-Aware Regenerating Codes. - Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang:
Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation. - Minki Jeong, Seokeon Choi, Changick Kim:
Few-shot Open-set Recognition by Transformation Consistency. - Sahil Dhoked, Neeraj Mittal:
Memory Reclamation for Recoverable Mutual Exclusion. - Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen:
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning. - Aaditya Singh, Shreeshail Hingane, Saim Wani, Ashutosh Modi:
An End-to-End Network for Emotion-Cause Pair Extraction. - Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Real Masks and Fake Faces: On the Masked Face Presentation Attack Detection. - Bingyan Liu, Yao Guo, Xiangqun Chen:
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization. - Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis:
Label-Imbalanced and Group-Sensitive Classification under Overparameterization. - Tamir Bendory, Dan Edidin, Shay Kreymer:
Signal recovery from a few linear measurements of its high-order spectra. - Sanjana Singh, Divyanjali Sharma, Subodh Sharma:
Dynamic Verification of C/C++11 Concurrency over Multi Copy Atomics. - Linda Lastrico, Alessandro Carfì, Alessia Vignolo, Alessandra Sciutti, Fulvio Mastrogiovanni, Francesco Rea:
Careful with That! Observation of Human Movements to Estimate Objects Properties. - Haitong Ma, Jianyu Chen, Shengbo Eben Li, Ziyu Lin, Yang Guan, Yangang Ren, Sifa Zheng:
Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function. - Jiaheng Liu, Yudong Wu, Yichao Wu, Zhenmao Li, Ken Chen, Ding Liang, Junjie Yan:
Inter-class Discrepancy Alignment for Face Recognition. - Yuta Iketo, Takayuki Nozaki:
Efficient Encoding Algorithm of Binary and Non-Binary LDPC Codes Using Block Triangulation. - Vighnesh S. Bhat, G. D. Surabhi, A. Chockalingam:
Performance Analysis of OTFS Modulation with Receive Antenna Selection. - Olcay Kursun, Semih Dinç, Oleg V. Favorov:
Contextually Guided Convolutional Neural Networks for Learning Most Transferable Representations. - Ali Khalesi, Mahtab Mirmohseni, Mohammad Ali Maddah-Ali:
The Capacity Region of Distributed Multi-User Secret Sharing. - Salvatore Cuomo, Wolfgang Erb, Gabriele Santin:
Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization. - Jan Portisch, Michael Hladik, Heiko Paulheim:
FinMatcher at FinSim-2: Hypernym Detection in the Financial Services Domain using Knowledge Graphs. - Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Functions. - Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
Optimal Communication-Computation Trade-Off in Heterogeneous Gradient Coding. - Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, Xin Xia:
An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent. - Philipp Terhörst, Jan Niklas Kolf, Marco Huber, Florian Kirchbuchner, Naser Damer, Aythami Morales, Julian Fiérrez, Arjan Kuijper:
A Comprehensive Study on Face Recognition Biases Beyond Demographics. - Manish Sahu, Anirban Mukhopadhyay, Stefan Zachow:
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation. - Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan:
Probing Product Description Generation via Posterior Distillation. - Johannes Pekkilä, Miikka S. Väisälä, Maarit J. Käpylä, Matthias Rheinhardt, Oskar Lappi:
Scalable communication for high-order stencil computations using CUDA-aware MPI. - Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata:
Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation. - Joerg Schmalenstroeer, Jens Heitkaemper, Joerg Ullmann, Reinhold Haeb-Umbach:
Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech. - Parikshit Bansal, Prathamesh Deshpande, Sunita Sarawagi:
Missing Value Imputation on Multidimensional Time Series. - Junbeom Kim, Hoon Lee, Seok-Hwan Park:
Learning Robust Beamforming for MISO Downlink Systems. - André Santos, Alcino Cunha, Nuno Macedo:
The High-Assurance ROS Framework. - Chaoning Zhang, Chenguo Lin, Philipp Benz, Kejiang Chen, Weiming Zhang, In So Kweon:
A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking. - (Withdrawn) Numerical solutions of electromagnetic wave model of fractional derivative using class of finite difference scheme.
- Tommaso Sorgente, Daniele Prada, Daniela Cabiddu, Silvia Biasotti, Giuseppe Patanè, Micol Pennacchio, Silvia Bertoluzza, Gianmarco Manzini, Michela Spagnuolo:
VEM and the Mesh. - Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang:
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding. - Prashanth Vijayaraghavan, Hugo Larochelle, Deb Roy:
Interpretable Multi-Modal Hate Speech Detection. - Eugene d'Eon:
An analytic BRDF for materials with spherical Lambertian scatterers. - Mirko Kokot, Damjan Miklic, Tamara Petrovic:
Path continuity for multi-wheeled AGVs. - Charlotte Caucheteux, Alexandre Gramfort, Jean-Remi King:
Decomposing lexical and compositional syntax and semantics with deep language models. - Yujiao Shi, Dylan Campbell, Xin Yu, Hongdong Li:
Geometry-Guided Street-View Panorama Synthesis from Satellite Imagery. - Stefan B. Liu, Bastian Schürmann, Matthias Althoff:
Reachability-based Identification, Analysis, and Control Synthesis of Robot Systems. - Chongjian Yuan, Xiyuan Liu, Xiaoping Hong, Fu Zhang:
Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments. - Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, Ruta Mehta, Pranabendu Misra:
Improving EFX Guarantees through Rainbow Cycle Number. - Colin Paterson, Haoze Wu, John Grese, Radu Calinescu, Corina S. Pasareanu, Clark W. Barrett:
DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers. - Babak Maser, Andreas Uhl:
Using CNNs to Identify the Origin of Finger Vein Image. - Nicola Strisciuglio:
Brain-inspired algorithms for processing of visual data. - Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale:
Sparse Training Theory for Scalable and Efficient Agents. - Alarith Uhde, Marc Hassenzahl:
Towards a Better Understanding of Social Acceptability. - Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Learning disentangled representations via product manifold projection. - Alexander Lindermayr, Nicole Megow, Bertrand Simon:
Double Coverage with Machine-Learned Advice. - Albert Dulian, John C. Murray:
Exploiting latent representation of sparse semantic layers for improved short-term motion prediction with Capsule Networks. - Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller:
Learning with Hyperspherical Uniformity. - Guanyu Cai, Xinyang Jiang, Jun Zhang, Yifei Gong, Lianghua He, Pai Peng, Xiaowei Guo, Xing Sun:
Part2Whole: Iteratively Enrich Detail for Cross-Modal Retrieval with Partial Query. - Jinwoo Jeon, Sungwook Jung, Eungchang Mason Lee, Duckyu Choi, Hyun Myung:
Run Your Visual-Inertial Odometry on NVIDIA Jetson: Benchmark Tests on a Micro Aerial Vehicle. - Alessio Russo, Alexandre Proutière:
Minimizing Information Leakage of Abrupt Changes in Stochastic Systems. - Vahideh Keikha:
On Optimal w-gons in Convex Polygons. - Lara Grimminger, Roman Klinger:
Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection. - Enrica Troiano, Sebastian Padó, Roman Klinger:
Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangled. - Alessio Fumagalli, Francesco Saverio Patacchini:
Model adaptation in a discrete fracture network: existence of solutions and numerical strategies. - Johannes Marti, Yde Venema:
Focus-style proof systems and interpolation for the alternation-free μ-calculus. - Anshul Wadhawan:
AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets. - Daniella Bar-Lev, Tuvi Etzion, Eitan Yaakobi:
On the Size of Levenshtein Balls. - Ulrich Langer, Andreas Schafelner:
Simultaneous space-time finite element methods for parabolic optimal control problems. - Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Self-supervised Symmetric Nonnegative Matrix Factorization. - Marco Caliari, Fabio Cassini, Lukas Einkemmer, Alexander Ostermann, Franco Zivcovich:
A μ-mode integrator for solving evolution equations in Kronecker form. - Yu-Jie Yuan, Yu-Kun Lai, Tong Wu, Lin Gao, Ligang Liu:
A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint. - Wadii Boulila, Hamza Ghandorh, Mehshan Ahmed Khan, Fawad Ahmed, Jawad Ahmad:
A Novel CNN-LSTM-based Approach to Predict Urban Expansion. - Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. - Abigail Mosca, Alvitta Ottley, Remco Chang:
Does Interaction Improve Bayesian Reasoning with Visualization? - Alexandros Papadopoulos, Fotis Topouzis, Anastasios Delopoulos:
An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images. - Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang:
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. - Maitreyee Tewari, Thomas Hellström, Suna Bensch:
Conversational Norms for Human-Robot Dialogues. - Erik Henning Thiede, Wenda Zhou, Risi Kondor:
Autobahn: Automorphism-based Graph Neural Nets. - Roberto Francescon, Filippo Campagnaro, Emanuele Coccolo, Alberto Signori, Federico Guerra, Federico Favaro, Michele Zorzi:
An Event-Based Stack For Data Transmission Through Underwater Multimodal Networks. - Noortje J. Venhuizen, Petra Hendriks, Matthew W. Crocker, Harm Brouwer:
Distributional Formal Semantics. - Fadi Boutros, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Unmasking Face Embeddings by Self-restrained Triplet Loss for Accurate Masked Face Recognition.