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ORCIDCoRR, August 2020
- Nicolas Tempelmeier, Anzumana Sander, Udo Feuerhake, Martin Löhdefink, Elena Demidova:
TA-Dash: An Interactive Dashboard for Spatial-Temporal Traffic Analytics - Demo Paper. - Minh Hoang Nguyen, Huyen Thanh T. Nguyen, Thanh-Hang Pham, Manh-Toan Ho, Quan-Hoang Vuong:
Western ideological homogeneity in entrepreneurial finance research: Evidence from highly cited publications. - Kevin Fu, Tadayoshi Kohno, Daniel Lopresti, Elizabeth D. Mynatt, Klara Nahrstedt, Shwetak N. Patel, Debra J. Richardson, Benjamin G. Zorn:
Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things. - Michael Bryson, Xijiang Miao, Homayoun Valafar:
Process of Efficiently Parallelizing a Protein Structure Determination Algorithm. - Batuhan Mekiker, Mike P. Wittie, Jefferson Jones, Michael Monaghan:
Beartooth Relay Protocol: Supporting Real-Time Application Streams over LoRa. - Gregory D. Hager, Mark D. Hill, Katherine A. Yelick:
Opportunities and Challenges for Next Generation Computing. - Rafael Gomes Mantovani
, André Luis Debiaso Rossi, Edesio Alcobaça, Jadson Castro Gertrudes, Sylvio Barbon Junior, André Carlos Ponce de Leon Ferreira de Carvalho:
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters. - Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Federico Galvanin, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Chance Constrained Policy Optimization for Process Control and Optimization. - Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Francisco Herrera:
Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology: Using Natural Language Processing and Deep Learning for Decision Aid. - Tiziano Fagni, Fabrizio Falchi, Margherita Gambini, Antonio Martella, Maurizio Tesconi:
TweepFake: about Detecting Deepfake Tweets. - Lily Li, Aleksandar Nikolov:
On the Computational Complexity of Linear Discrepancy. - Eric Horvitz, Tom M. Mitchell:
From Data to Knowledge to Action: A Global Enabler for the 21st Century. - Bingyin Zhao, Yingjie Lao:
Class-Oriented Poisoning Attack. - Qi Yang, Khizar Qureshi, Tauhid Zaman:
Mitigating the Backfire Effect Using Pacing and Leading. - Ahmad Ajalloeian, Sebastian U. Stich:
Analysis of SGD with Biased Gradient Estimators. - Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Securing CNN Model and Biometric Template using Blockchain. - Randal E. Bryant, Randy H. Katz, Chase Hensel, Erwin P. Gianchandani:
From Data to Knowledge to Action: Enabling the Smart Grid. - Alireza Karduni, Doug Markant, Ryan Wesslen, Wenwen Dou:
A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations. - Marie Nguyen, Nathan Serafin, James C. Hoe:
Partial Reconfiguration for Design Optimization. - Xinrui Wang, Karen Leung, Marco Pavone:
Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions. - Jonathan Vincent, Mathieu Labbé, Jean-Samuel Lauzon, François Grondin, Pier-Marc Comtois-Rivet, François Michaud:
Dynamic Object Tracking and Masking for Visual SLAM. - Max I. Kanovich, Stepan L. Kuznetsov, Andre Scedrov:
The Multiplicative-Additive Lambek Calculus with Subexponential and Bracket Modalities. - Jacinto A. Dávila:
Posibility conditions for Open Access. - Matheus Nunes, Gisele L. Pappa:
Neural Architecture Search in Graph Neural Networks. - Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu:
Learning to Rank for Active Learning: A Listwise Approach. - Dongning Ma:
MiabNET: Message-in-a-bottle Protocol for MANET. - Jun Sung Choi, Vuk Marojevic, Carl B. Dietrich, Jeffrey H. Reed, Seungyoung Ahn:
Survey of Spectrum Regulation for Intelligent Transportation Systems. - Reza Amini, Mehdi Imani, Petio Ivanov Todorov, Maaruf Ali:
Performance Evaluation of Orchestra Scheduling in Time Slotted Channel Hopping Networks. - Songyang Zhang:
LearningCC: An online learning approach for congestion control. - Kamran Nishat, Omprakash Gnawali, Ahmed Abdelhadi:
Adaptive Bitrate Video Streaming for Wireless nodes: A Survey. - Safa Otoum, Burak Kantarci, Hussein T. Mouftah:
A Comparative Study of AI-based Intrusion Detection Techniques in Critical Infrastructures. - Mahboobeh Parsapoor, Urban Bilstrup:
A Centralized Channel Allocation Method in Clustered Ad Hoc Networks. - Kourosh Sartipi, Tien Do, Tong Ke, Khiem Vuong, Stergios I. Roumeliotis:
Deep Depth Estimation from Visual-Inertial SLAM. - Bryan Donyanavard, Amir M. Rahmani, Axel Jantsch, Onur Mutlu, Nikil D. Dutt:
Intelligent Management of Mobile Systems through Computational Self-Awareness. - Audrey Richard, Ian Cherabier, Martin R. Oswald, Marc Pollefeys, Konrad Schindler:
KAPLAN: A 3D Point Descriptor for Shape Completion. - Karen Leung, Nikos Aréchiga, Marco Pavone:
Back-propagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods. - Liyiming Ke, Ajinkya Kamat, Jingqiang Wang, Tapomayukh Bhattacharjee, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa:
Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations. - David J. Hand, Peter Christen, Nishadi Kirielle:
F*: An Interpretable Transformation of the F-measure. - Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard S. Zemel, Craig Boutilier:
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. - Feiyan Hu, Venkatesh G M, Noel E. O'Connor, Alan F. Smeaton, Suzanne Little:
Utilising Visual Attention Cues for Vehicle Detection and Tracking. - Mahdieh Nejati Javaremi, Brenna D. Argall:
Characterization of Assistive Robot Arm Teleoperation: A Preliminary Study to Inform Shared Control. - Shakila Khan Rumi, Kyle Kai Qin, Flora D. Salim:
Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data. - Ankit Ramchandani, Chao Fan, Ali Mostafavi:
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions. - Lasse Blaauwbroek, Josef Urban, Herman Geuvers:
The Tactician (extended version): A Seamless, Interactive Tactic Learner and Prover for Coq. - N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney:
Noise-response Analysis for Rapid Detection of Backdoors in Deep Neural Networks. - Steven A. Grosz, Joshua J. Engelsma, Anil K. Jain:
White-Box Evaluation of Fingerprint Recognition Systems. - Austin Silveria:
GraphQL Live Querying with DynamoDB. - Sabah Al-Fedaghi:
Dissipating with Relations: Implication for the Entity-Relationship Model. - Almos Zarandy, Ilia Shumailov, Ross J. Anderson:
BatNet: Data transmission between smartphones over ultrasound. - Shawn M. Jones, Martin Klein, Michele C. Weigle, Michael L. Nelson:
MementoEmbed and Raintale for Web Archive Storytelling. - Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Vulnerability Under Adversarial Machine Learning: Bias or Variance? - Shawn M. Jones, Alexander C. Nwala, Martin Klein, Michele C. Weigle, Michael L. Nelson:
SHARI - An Integration of Tools to Visualize the Story of the Day. - Daniel Lee, Rakesh M. Verma, Avisha Das, Arjun Mukherjee:
Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models. - Jing Shi, Zhiheng Li, Haitian Zheng, Yihang Xu, Tianyou Xiao, Weitao Tan, Xiaoning Guo, Sizhe Li, Bin Yang, Zhexin Xu, Ruitao Lin, Zhongkai Shangguan, Yue Zhao, Jingwen Wang, Rohan Sharma, Surya Iyer, Ajinkya Deshmukh, Raunak Mahalik, Srishti Singh, Jayant G. Rohra, Yipeng Zhang, Tongyu Yang, Xuan Wen, Ethan Fahnestock, Bryce Ikeda, Ian Lawson, Alan Finkelstein, Kehao Guo, Richard Magnotti, Andrew Sexton, Jeet Ketan Thaker, Yiyang Su, Chenliang Xu:
Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report. - Yea-Seul Kim, Paula Kayongo, Madeleine Grunde-McLaughlin, Jessica Hullman:
Bayesian-Assisted Inference from Visualized Data. - Lele Liao, Zhaoyi Gu, Jing Lu:
Efficient Independent Vector Extraction of Dominant Target Speech. - Cameron Martin, Hongyuan Zhang, Julia Costacurta, Mihai Nica, Adam R. Stinchcombe:
Solving Elliptic Equations with Brownian Motion: Bias Reduction and Temporal Difference Learning. - Mengyuan Li, Yinqian Zhang, Zhiqiang Lin:
CROSSLINE: Breaking "Security-by-Crash" based Memory Isolation in AMD SEV. - Huihui Wu, Yuanyu Zhang, Yulong Shen, Xiaohong Jiang, Weidong Yang:
Achieving Covertness and Secrecy: A New Paradigm for Secure Wireless Communication. - Gerard Awanou, Maurice Fabien, Johnny Guzmán, Ari Stern:
Hybridization and postprocessing in finite element exterior calculus. - Sarah Hussein Toman, Mohammed Hamzah Abed, Zinah Hussein Toman:
Cluster-Based Information Retrieval by using (K-means)- Hierarchical Parallel Genetic Algorithms Approach. - Takanori Fujiwara, Jian Zhao, Francine Chen, Kwan-Liu Ma:
A Visual Analytics Framework for Contrastive Network Analysis. - Yang Lu, Jianming Lian, Minghui Zhu, Ke Ma, Wei Zhang:
Cyber-Resilient Transactive Energy System Design over Insecure Communication Links. - Abram Rodgers, Daniele Venturi:
Step-truncation integrators for evolution equations on low-rank tensor manifolds. - Xi Huang, Ziyu Shao, Yang Yang:
MIPS: Instance Placement for Stream Processing Systems based on Monte Carlo Tree Search. - Ana Paula G. S. de Almeida, Flavio de Barros Vidal:
L-CNN: A Lattice cross-fusion strategy for multistream convolutional neural networks. - Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo:
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video. - Xi Huang, Ziyu Shao, Yang Yang:
POTUS: Predictive Online Tuple Scheduling for Data Stream Processing Systems. - Xi Huang, Shuang Zhao, Xin Gao, Ziyu Shao, Hua Qian, Yang Yang:
Online User-AP Association with Predictive Scheduling in Wireless Caching Networks. - Bo Wu, Steven Carr, Suda Bharadwaj, Zhe Xu, Ufuk Topcu:
Byzantine-Resilient Distributed Hypothesis Testing With Time-Varying Network Topology. - Rui Li, Shunyi Zheng, Chenxi Duan:
Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network. - Slobodan Gutesa:
Impact and Implementation of Reserved Lanes for Automated Driving on Signalized Urban Arterials. - Vamsee Reddy Kommareddy, Clayton Hughes, Simon David Hammond, Amro Awad:
DeACT: Architecture-Aware Virtual Memory Support for Fabric Attached Memory Systems. - Ajoy Mondal, Kuntal Ghosh:
State-of-The-Art Fuzzy Active Contour Models for Image Segmentation. - Furkan Eris, Sadullah Canakci, Cansu Demirkiran, Ajay Joshi:
Custom Tailored Suite of Random Forests for Prefetcher Adaptation. - Jiahuang Lin, Xin Li, Gennady Pekhimenko:
Multi-node Bert-pretraining: Cost-efficient Approach. - Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib:
Contrastive Explanations in Neural Networks. - Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou:
Correlated Data in Differential Privacy: Definition and Analysis. - Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao, Zhenhui Li:
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records. - Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu:
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition. - Qin Tao, Junwei Wang, Caijun Zhong:
Performance Analysis of Intelligent Reflecting Surface Aided Communication Systems. - Farzad Shahrivari, Nikola Zlatanov:
Nearest Empirical Distribution: An Asymptotically Optimal Algorithm For Supervised Classification of Data Vectors with Independent Non-Identically Distributed Elements. - Chenyu Yang, Bike Zhang, Jun Zeng, Ayush Agrawal, Koushil Sreenath:
Dynamic Legged Manipulation of a Ball Through Multi-Contact Optimization. - Xia Chen, Jianren Wang, Martial Hebert:
PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding. - Xin Gao, Xi Huang, Yinxu Tang, Ziyu Shao, Yang Yang:
Data-Driven Bandit Learning for Proactive Cache Placement in Fog-Assisted IoT Systems. - Xin Gao, Xi Huang, Ziyu Shao, Yang Yang:
Green Offloading in Fog-Assisted IoT Systems: An Online Perspective Integrating Learning and Control. - Malte Ostendorff:
Contextual Document Similarity for Content-based Literature Recommender Systems. - Xin Gao, Xi Huang, Simeng Bian, Ziyu Shao, Yang Yang:
PORA: Predictive Offloading and Resource Allocation in Dynamic Fog Computing Systems. - Jiefeng Li, Can Wang, Wentao Liu, Chen Qian, Cewu Lu:
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation. - Simeng Bian, Xi Huang, Ziyu Shao:
Online Task Scheduling for Fog Computing with Multi-Resource Fairness. - Simeng Bian, Xi Huang, Ziyu Shao, Xin Gao, Yang Yang:
Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective. - S. M. K. C. S. B. Egodawela, H. M. D. M. B. Herath, R. D. Ranaweera, J. V. Wijayakulasooriya:
Device to Remotely Track and Locate the Position of a Child for Safety. - Hong-lin Liao, Bingquan Ji, Luming Zhang:
An adaptive BDF2 implicit time-stepping method for the phase field crystal model. - Vasileios Kouliaridis, Georgios Kambourakis, Dimitrios Geneiatakis:
Dissecting contact tracing apps in the Android platform. - Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao:
Efficient Adversarial Attacks for Visual Object Tracking. - Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Unsupervised Deep Cross-modality Spectral Hashing. - Yusuke Kumakoshi, Sau Yee Chan, Hideki Koizumi, Xiaojiang Li, Yuji Yoshimura:
Standardized Green View Index and Quantification of Different Metrics of Urban Green Vegetation. - Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
RGB-D Salient Object Detection: A Survey. - Carlo Baldassi, Fabio Maccheroni, Massimo Marinacci, Marco Pirazzini:
Ergodic Annealing. - Pavan Rajkumar Magesh, Richard Delwin Myloth, Rijo Jackson Tom:
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery. - Donatella Occorsio, Woula Themistoclakis:
On the filtered polynomial interpolation at Chebyshev nodes. - Atmadeep Banerjee:
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation. - Le Yang, Fu-Chun Zheng, Yi Zhong, Shi Jin:
Analysis and Optimization of Cache-Enabled Networks with Random DTX Scheme. - Kalpana Mahalingam, Palak Pandoh, Anuran Maity:
Theta palindromes in theta conjugates. - Bingchen Zhao, Xin Wen:
Distilling Visual Priors from Self-Supervised Learning. - Nikhil S. Mande, Swagato Sanyal:
On parity decision trees for Fourier-sparse Boolean functions. - Hieu Le, Dimitris Samaras:
From Shadow Segmentation to Shadow Removal. - Ruslan Kapralov, Kamil Khadiev, Joshua Mokut, Yixin Shen, Maxim Yagafarov:
Fast Classical and Quantum Algorithms for Online k-server Problem on Trees. - Sebastian Nielebock, Robert Heumüller, Kevin Michael Schott, Frank Ortmeier:
Guided Pattern Mining for API Misuse Detection by Change-Based Code Analysis. - Hüsnü Ata Erbay, Saadet Erbay, Albert Erkip:
Numerical Computation of Solitary Wave Solutions of the Rosenau Equation. - Jie Zou, Evangelos Kanoulas, Yiqun Liu:
An Empirical Study of Clarifying Question-Based Systems. - Bhaskar Ray Chaudhury, Jugal Garg, Peter McGlaughlin, Ruta Mehta:
Dividing Bads is Harder than Dividing Goods: On the Complexity of Fair and Efficient Division of Chores. - Ernest Davis:
The test set for the TransCoder system. - Maria Carmela De Bonis, Donatella Occorsio:
Quadrature methods for integro-differential equations of Prandtl's type in weighted spaces of continuous functions. - Evgenios M. Kornaropoulos, Silei Ren, Roberto Tamassia:
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures. - Mohammed Bany Muhammad, Mohammed Yeasin:
Eigen-CAM: Class Activation Map using Principal Components. - Mihail Burduja, Radu Tudor Ionescu, Nicolae Verga:
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks. - Nabil Hossain, John Krumm, Michael Gamon, Henry A. Kautz:
SemEval-2020 Task 7: Assessing Humor in Edited News Headlines. - Omid Poursaeed, Tianxing Jiang, Quintessa Qiao, Nayun Xu, Vladimir G. Kim:
Self-supervised Learning of Point Clouds via Orientation Estimation. - Jeremy Kepner, Chad R. Meiners, Chansup Byun, Sarah McGuire, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Raul Harnasch, Matthew Hubbell, Michael Houle, Michael Jones, Andrew C. Kirby, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas:
Multi-Temporal Analysis and Scaling Relations of 100, 000, 000, 000 Network Packets. - Tim Postuvan, Semir Salkic, Lovro Subelj:
Learning-based link prediction analysis for Facebook100 network. - Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai:
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs. - Xinyang Zhang, Zheng Zhang, Ting Wang:
Trojaning Language Models for Fun and Profit. - Zeshi Yang, KangKang Yin:
Improving Skeleton-based Action Recognitionwith Robust Spatial and Temporal Features. - Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson:
Bringing UMAP Closer to the Speed of Light with GPU Acceleration. - Aditya Agarwal, Yupeng Han, Maxim Likhachev:
PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation. - Neeraj Kulkarni, Gonzalo Gonzalez-Pumariega, Amulya Khurana, Christine A. Shoemaker, Christina Delimitrou, David H. Albonesi:
CuttleSys: Data-Driven Resource Management forInteractive Applications on Reconfigurable Multicores. - Raef Bassily, Shay Moran, Anupama Nandi:
Learning from Mixtures of Private and Public Populations. - Vijaya Ramachandran, Elaine Shi:
Data Oblivious Algorithms for Multicores. - Luiz Emilio Allem, Carlos Hoppen, Matheus Micadei Marzo, Lucas Siviero Sibemberg:
A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil. - Wentao Bao, Qi Yu, Yu Kong:
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning. - Haoran Su, Kejian Shi, Li Jin, Joseph Y. J. Chow:
V2I Connectivity-Based Dynamic Queue-Jump Lane for Emergency Vehicles: A Deep Reinforcement Learning Approach. - Ali Hürriyetoglu:
Extracting actionable information from microtexts. - Ali Hürriyetoglu, Erdem Yörük, Deniz Yüret, Çagri Yoltar, Burak Gürel, Firat Durusan, Osman Mutlu, Arda Akdemir:
Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-context Setting. - Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer:
Self-supervised Visual Attribute Learning for Fashion Compatibility. - Ali Hürriyetoglu, Erdem Yörük, Deniz Yüret, Osman Mutlu, Çagri Yoltar, Firat Durusan, Burak Gürel:
Cross-context News Corpus for Protest Events related Knowledge Base Construction. - Reetam Sen Biswas, Behrouz Azimian, Anamitra Pal:
A Micro-PMU Placement Scheme for Distribution Systems Considering Practical Constraints. - Aria Khademi, Vasant G. Honavar:
A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution. - Benjamin Moseley, Kirk Pruhs, Alireza Samadian, Yuyan Wang:
Relational Algorithms for k-means Clustering. - Zili Yi, Qiang Tang, Vishnu Sanjay Ramiya Srinivasan, Zhan Xu:
Animating Through Warping: an Efficient Method for High-Quality Facial Expression Animation. - Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. - Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He:
A Survey on Text Classification: From Shallow to Deep Learning. - Yu Huang, Mostafa Milani, Fei Chiang:
Privacy-Aware Data Cleaning-as-a-Service (Extended Version). - Andrés Páez, Natalia Ramírez-Bustamante:
Análisis jurídico de la discriminación algorítmica en los procesos de selección laboral. - Samuel Bateman, Kyle Harlow, Christoffer Heckman:
Better Together: Online Probabilistic Clique Change Detection in 3D Landmark-Based Maps. - Guillermo A. Castillo, Bowen Weng, Terrence C. Stewart, Wei Zhang, Ayonga Hereid:
Velocity Regulation of 3D Bipedal Walking Robots with Uncertain Dynamics Through Adaptive Neural Network Controller. - Sharmin Majumder, Nasser Kehtarnavaz:
Vision and Inertial Sensing Fusion for Human Action Recognition : A Review. - Lidan Wang, Franck Dernoncourt, Trung Bui:
Bayesian Optimization for Selecting Efficient Machine Learning Models. - Xiaogang Wang, Marcelo H. Ang Jr., Gim Hee Lee:
Point Cloud Completion by Learning Shape Priors. - Yu-Jun Zheng, Xin Chen, Tie-Er Gan, Min-Xia Zhang, Wei-Guo Sheng, Ling Wang:
Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization. - (Withdrawn) SeqDialN: Sequential Visual Dialog Networks in Joint Visual-Linguistic Representation Space.
- Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan:
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning. - Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu:
Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks. - Xuankai Liu, Fengting Li, Bihan Wen, Qi Li:
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data. - Jonathan Pan:
Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations. - Cheng Li, Min Tang, Ruofeng Tong, Ming Cai, Jieyi Zhao, Dinesh Manocha:
P-Cloth: Interactive Complex Cloth Simulation on Multi-GPU Systems using Dynamic Matrix Assembly and Pipelined Implicit Integrators. - Yashesh D. Dhebar, Kalyanmoy Deb:
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems. - Faezeh Farivar, Mohammad Sayad Haghighi, Alireza Jolfaei, Sheng Wen:
On the Security of Networked Control Systems in Smart Vehicle and its Adaptive Cruise Control. - Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, Wangmeng Zuo, Lei Zhang:
Blind Face Restoration via Deep Multi-scale Component Dictionaries. - Yijia Chen, Jörg Flum:
Forbidden Induced Subgraphs and the Łoś-Tarski Theorem. - Fred Mesnard, Étienne Payet, Germán Vidal:
Concolic Testing in CLP. - Jinyi Wang, Yican Sun, Hongfei Fu, Mingzhang Huang, Amir Kafshdar Goharshady, Krishnendu Chatterjee:
Concentration-Bound Analysis for Probabilistic Programs and Probabilistic Recurrence Relations. - Ranjan Kumar Das, Rafikul Alam:
Structured strong linearizations of structured rational matrices. - Ajay Pratap Yadav:
Multiobjective Backstepping Controller for Parallel Buck Converter. - Gouranga Mallik:
Comparison results of P2-finite elements for fourth-order semilinear von Karman equations. - Haiyan Guo, Bo Zhou:
On extremal leaf status and internal status of trees. - Sunil Kumar Sahu, Derek Thomas, Billy Chiu, Neha Sengupta, Mohammady Mahdy:
Relation Extraction with Self-determined Graph Convolutional Network. - Pablo Montero-Manso, Rob J. Hyndman:
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality. - Lei Zhou, Zixin Luo, Mingmin Zhen, Tianwei Shen, Shiwei Li, Zhuofei Huang, Tian Fang, Long Quan:
Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction. - Hong Shen, Tian Ding, Wei Xu, Chunming Zhao:
Beamforming Design with Fast Convergence for IRS-Aided Full-Duplex Communication. - Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian:
Video Super-Resolution with Recurrent Structure-Detail Network. - Iman Nematollahi, Oier Mees, Lukás Hermann, Wolfram Burgard:
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction. - Wenchao Zhang, Chong Fu, Mai Zhu:
Mask Point R-CNN. - Oguzhan Gencoglu:
Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19. - Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas:
Structural Causal Models Are (Solvable by) Credal Networks. - David Dayan, Rivka Kaplinsky, Aryeh Wiesen, Simon Bloch:
MDA Models and PIM/PSM Transformations Using Extended Automata. - Guanlin Li, Chang Liu, Han Yu, Yanhong Fan, Libang Zhang, Zongyue Wang, Meiqin Wang:
SCNet: A Neural Network for Automated Side-Channel Attack. - Ilyos Rabbimov, Iosif Mporas, Vasiliki Simaki, Sami Kobilov:
Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments. - Zuyue Fu, Zhuoran Yang, Zhaoran Wang:
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy. - Yifei Shi, Junwen Huang, Hongjia Zhang, Xin Xu, Szymon Rusinkiewicz, Kai Xu:
SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images. - Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu:
Tensor Low-Rank Reconstruction for Semantic Segmentation. - Raed Jaberi:
Minimum 2-vertex strongly biconnected spanning directed subgraph problem. - Jun Hu, Yizhou Liang:
Conforming Discrete Gradgrad-Complexes in Three Dimensions. - Zhicheng X. Cao, Xi Cen, Liaojun Pang:
HyperFaceNet: A Hyperspectral Face Recognition Method Based on Deep Fusion. - Yanling Chang, Alfredo García, Zhide Wang:
Dynamic Discrete Choice Estimation with Partially Observable States and Hidden Dynamics. - John D. Martin, Kevin J. Doherty, Caralyn Cyr, Brendan J. Englot, John J. Leonard:
Variational Filtering with Copula Models for SLAM. - Sudin Kadam, Ravi N. Banavar, Vivek Natarajan:
Modelling, Controllability and Gait Design for a Spherical Flexible Swimmer. - Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang:
Differentiable Feature Aggregation Search for Knowledge Distillation. - Lea Schönherr, Maximilian Golla, Thorsten Eisenhofer, Jan Wiele, Dorothea Kolossa, Thorsten Holz:
Unacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers. - Andrea Bassich, Francesco Foglino, Matteo Leonetti, Daniel Kudenko:
Curriculum Learning with a Progression Function. - Manu Tom, Melanie Sütterlin, Damien Bouffard, Mathias Rothermel, Stefan Wunderle, Emmanuel Baltsavias:
Integrated monitoring of ice in selected Swiss lakes. Final project report. - Linh Kästner, Cornelius Marx, Jens Lambrecht:
Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments. - Thibaud Trolliet, Nathann Cohen, Frédéric Giroire, Luc Hogie, Stéphane Pérennes:
Interest Clustering Coefficient: a New Metric for Directed Networks like Twitter. - Clélia de Mulatier, Paolo P. Mazza, Matteo Marsili:
Statistical Inference of Minimally Complex Models. - Snehal Jauhri, Carlos Celemin, Jens Kober:
Interactive Imitation Learning in State-Space. - Hitkul, Karmanya Aggarwal, Pakhi Bamdev, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Trawling for Trolling: A Dataset. - Yujie He, Changhong Fu, Fuling Lin, Yiming Li, Peng Lu:
Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters. - Aaron Hein, Casey A. Cole, Homayoun Valafar:
An Investigation in Optimal Encoding of Protein Primary Sequence for Structure Prediction by Artificial Neural Networks. - Yun Kuen Cheung, Yixin Tao:
Chaos of Learning Beyond Zero-sum and Coordination via Game Decompositions. - Yu Shen, Sijie Zhu, Chen Chen, Qian Du, Liang Xiao, Jianyu Chen, Delu Pan:
Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification. - Wentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin:
Video Question Answering on Screencast Tutorials. - Janith C. Petangoda, Nick A. M. Monk, Marc Peter Deisenroth:
A Foliated View of Transfer Learning. - Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Yinhai Wang:
IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing. - Mine Akbas, Abigail Bowers:
Improving accuracy in the Leray model for incompressible non-isothermal flows via adaptive deconvolution-based nonlinear filtering. - Henrik Bengtsson:
A Unifying Framework for Parallel and Distributed Processing in R using Futures. - Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea, Alexandre Xavier Falcão:
Semi-supervised deep learning based on label propagation in a 2D embedded space. - Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu:
SemEval-2020 Task 5: Counterfactual Recognition. - Bo Wang, Wenzhong Zhang, Wei Cai:
Exponential convergence for multipole and local expansions and their translations for sources in layered media: three-dimensional Laplace equation. - Bohan Wang, George Matcuk, Jernej Barbic:
Modeling of Personalized Anatomy using Plastic Strains. - Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji:
A Combinatorial Design for Cascaded Coded Distributed Computing on General Networks. - Verena Haunschmid, Ethan Manilow, Gerhard Widmer:
audioLIME: Listenable Explanations Using Source Separation. - Eike Neumann:
Decision problems for linear recurrences involving arbitrary real numbers. - Haiyong Wang:
On the optimal rates of convergence of Gegenbauer projections. - Erik D. Demaine, Adam C. Hesterberg, Jason S. Ku:
Finding Closed Quasigeodesics on Convex Polyhedra. - Declan Burke, Airlie Chapman, Iman Shames:
Generating Minimum-Snap Quadrotor Trajectories Really Fast. - (Withdrawn) The Amazing Power of Randomness: NP=RP.
- Yujin Tang, Jie Tan, Tatsuya Harada:
Learning Agile Locomotion via Adversarial Training. - Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang:
Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image. - Xiao Ling, Rishabh Agrawal, Tim Menzies:
How Different is Test Case Prioritization for Open and Closed Source Projects? - Xingyu Lu, Kimin Lee, Pieter Abbeel, Stas Tiomkin:
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning. - Xinrong Guan, Qingqing Wu, Rui Zhang:
Anchor-Assisted Intelligent Reflecting Surface Channel Estimation for Multiuser Communications. - Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
DeLighT: Very Deep and Light-weight Transformer. - Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng:
Learning to Purify Noisy Labels via Meta Soft Label Corrector. - Aaron Ott, Amir Mazaheri, Niels da Vitoria Lobo, Mubarak Shah:
Deep Photo Cropper and Enhancer. - Ben Talbot, David Hall, Haoyang Zhang, Suman Raj Bista, Rohan Smith, Feras Dayoub, Niko Sünderhauf:
BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots. - Weihao Yuan, Michael Yu Wang, Qifeng Chen:
Self-supervised Object Tracking with Cycle-consistent Siamese Networks. - Dibakar Gope, Jesse G. Beu, Matthew Mattina:
High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands. - Qinghao Wang, Ruijun Liu, Wei Wang, Guangming Xie:
An Electrocommunication System Using FSK Modulation and Deep Learning Based Demodulation for Underwater Robots. - Jianyuan Ruan, Bo Li, Yingqiang Wang, Zhou Fang:
GP-SLAM+: real-time 3D lidar SLAM based on improved regionalized Gaussian process map reconstruction. - Zhenghang Cui, Issei Sato:
Classification from Ambiguity Comparisons. - Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister:
Interpretable Sequence Learning for COVID-19 Forecasting. - Pawel Parys:
On the Expressive Power of Higher-Order Pushdown Systems. - Matt Wala, Andreas Klöckner:
On the Approximation of Local Expansions of Laplace Potentials by the Fast Multipole Method. - Yuheng Lu, Fan Yang, Fangping Chen, Don Xie:
PIC-Net: Point Cloud and Image Collaboration Network for Large-Scale Place Recognition. - Qiuyan Wang, Ziling Heng:
Near MDS codes from oval polynomials. - Savvas Karatsiolis, Andreas Kamilaris:
The pursuit of beauty: Converting image labels to meaningful vectors. - Jiacheng Pan, Wei Chen, Xiaodong Zhao, Shuyue Zhou, Wei Zeng, Minfeng Zhu, Jian Chen, Siwei Fu, Yingcai Wu:
Exemplar-based Layout Fine-tuning for Node-link Diagrams. - Shaan Aryaman, Nguwi Yok Yen:
Deep Learning based Topic Analysis on Financial Emerging Event Tweets. - Jie Li, Shengbo Eben Li, Kaiming Tang, Yao Lv, Wenhan Cao:
Reinforcement Solver for H-infinity Filter with Bounded Noise. - Joewie J. Koh, Guohui Ding, Christoffer Heckman, Lijun Chen, Alessandro Roncone:
Cooperative Control of Mobile Robots with Stackelberg Learning. - Maison Clouatre, Makhin Thitsa, Michel Fliess, Cédric Join:
A robust but easily implementable remote control for quadrotors: Experimental acrobatic flight tests. - Liyao Lu, Qiang Lyu:
Discovering indicators of dark horse of soccer games by deep learning from sequential trading data. - Shikha Sharma, Markku Suomalainen, Ville Kyrki:
Compliant Manipulation of Free-Floating Objects. - Keywan Mohammadi, Elnaz Azizi, Mohammad Taghi Hamidi Beheshti, Ali Bidram, Sadegh Bolouki:
Asynchronous Periodic Distributed Event-Triggered Frequency Control of Microgrids. - Ziling Heng, Cunsheng Ding:
The Subfield Codes of [q+1, 2, q] MDS Codes. - Hian Lee Kwa, Grgur Tokic, Roland Bouffanais, Dick K. P. Yue:
Heterogeneous Swarms for Maritime Dynamic Target Search and Tracking. - Yanrui Bin, Xuan Cao, Xinya Chen, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang:
Adversarial Semantic Data Augmentation for Human Pose Estimation. - Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann:
Anti-Bandit Neural Architecture Search for Model Defense. - Joshua Lee, Jeffrey Fong, Bing Cai Kok, Harold Soh:
Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration. - Archak Das, Kaustav Bose, Buddhadeb Sau:
Memory Optimal Dispersion by Anonymous Mobile Robots. - Guidong Yang, Simone Mentasti, Mattia Bersani, Yafei Wang, Francesco Braghin, Federico Cheli:
LiDAR point-cloud processing based on projection methods: a comparison. - Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li:
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images. - Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, Zhibo Yang, Tong Lu, Chunhua Shen, Ping Luo:
AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting. - Ari Viitala, Rinu Boney, Juho Kannala:
Learning to Drive Small Scale Cars from Scratch. - Dominik Alfke, Martin Stoll:
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs. - Michael J. Maher:
A lemma on closures and its application to modularity in logic programming semantics. - Dalin Guo, Sofia Ira Ktena, Ferenc Huszar, Pranay Kumar Myana, Wenzhe Shi, Alykhan Tejani:
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. - Denis Anuprienko, Ivan Kapyrin:
Nonlinearity continuation method for steady-state groundwater flow modeling in variably saturated conditions. - Kaustav Bose, Manash Kumar Kundu, Ranendu Adhikary, Buddhadeb Sau:
Distributed Localization of Wireless Sensor Network Using Communication Wheel. - Ivan Anokhin, Dmitry Yarotsky:
Low-loss connection of weight vectors: distribution-based approaches. - El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê Nguyên Hoang, Sébastien Rouault:
Collaborative Learning as an Agreement Problem. - Samuel Albanie, Yang Liu, Arsha Nagrani, Antoine Miech, Ernesto Coto, Ivan Laptev, Rahul Sukthankar, Bernard Ghanem, Andrew Zisserman, Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid, Shizhe Chen, Yida Zhao, Qin Jin, Kaixu Cui, Hui Liu, Chen Wang, Yudong Jiang, Xiaoshuai Hao:
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020). - Dafne E. van Kuppevelt, Rena Bakhshi, Eelke M. Heemskerk, Frank W. Takes:
Community membership consistency in corporate board interlock networks. - Wen Yu, Baiying Lei, Michael K. Ng, Albert C. Cheung, Yanyan Shen, Shuqiang Wang:
Tensorizing GAN with High-Order Pooling for Alzheimer's Disease Assessment. - Liping Zhang, Weijun Li, Lina Yu, Xiaoli Dong, Linjun Sun, Xin Ning, Jian Xu, Hong Qin:
GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian. - Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari:
Proximal Deterministic Policy Gradient. - Marco Maggipinto, Matteo Terzi, Gian Antonio Susto:
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces. - Timo P. Gros, Daniel Höller, Jörg Hoffmann, Verena Wolf:
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning - Extended Version. - Cong Wang, Xiaoying Xing, Zhixun Su, Junyang Chen:
DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal. - Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems. - Daniel Kershaw, Rob Koeling:
Elsevier OA CC-By Corpus. - Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo:
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction. - Carla Groenland, Gwenaël Joret, Wojciech Nadara, Bartosz Walczak:
Approximating pathwidth for graphs of small treewidth. - Anton Steenvoorden, Emanuele Di Gloria, Wanyu Chen, Pengjie Ren, Maarten de Rijke:
Attribute-aware Diversification for Sequential Recommendations. - Andrew Buzzell:
COVID-19 Misinformation and Disinformation on Social Networks - The Limits of Veritistic Countermeasures. - Abdallah Lakhdari, Athman Bouguettaya:
Fluid Composition of Intermittent IoT Energy Services. - Shahan Ali Memon, Kathleen M. Carley:
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset. - Björn Lindqvist, Sina Sharif Mansouri, Ali-akbar Agha-mohammadi, George Nikolakopoulos:
Nonlinear MPC for Collision Avoidance and Controlof UAVs With Dynamic Obstacles. - Guy Goren, Shay Vargaftik, Yoram Moses:
Distributed Dispatching in the Parallel Server Model. - Laurent Kloeker, Christian Kotulla, Lutz Eckstein:
Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation. - Marc Pàmies, Emily Öhman, Kaisla Kajava, Jörg Tiedemann:
LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT? - Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, Bei Yu:
DAMO: Deep Agile Mask Optimization for Full Chip Scale. - Christos Matsoukas, Albert Bou I Hernandez, Yue Liu, Karin Dembrower, Gisele Miranda, Emir Konuk, Johan Fredin Haslum, Athanasios Zouzos, Peter Lindholm, Fredrik Strand, Kevin Smith:
Adding Seemingly Uninformative Labels Helps in Low Data Regimes. - Sumanth Chennupati, Sai Nooka, Shagan Sah, Raymond W. Ptucha:
Adaptive Hierarchical Decomposition of Large Deep Networks. - Xiaolong Liu, Yuqing Hou, Anbang Yao, Yurong Chen, Keqiang Li:
CASNet: Common Attribute Support Network for image instance and panoptic segmentation. - János Balogh, Leah Epstein, Asaf Levin:
Truly asymptotic lower bounds for online vector bin packing. - José L. Escalona:
Kinematics of motion tracking using computer vision. - Ya Lu, Thomai Stathopoulou, Stavroula G. Mougiakakou:
Partially Supervised Multi-Task Network for Single-View Dietary Assessment. - Ali Ayub, Alan R. Wagner:
Tell me what this is: Few-Shot Incremental Object Learning by a Robot. - Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, Chuang Gan:
Generating Visually Aligned Sound from Videos. - Mohanad Abukmeil, Gian Luca Marcialis:
Experimental results on palmvein-based personal recognition by multi-snapshot fusion of textural features. - Yinglong Wang, Yibing Song, Chao Ma, Bing Zeng:
Rethinking Image Deraining via Rain Streaks and Vapors. - Ahnaf Hannan Lodhi, Baris Akgün, Öznur Özkasap:
State-of-the-art Techniques in Deep Edge Intelligence. - Pradyumna Gupta, Himanshu Gupta, Aman Sinha:
DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis. - Debaditya Roy, K. Naveen Kumar, C. Krishna Mohan:
Defining Traffic States using Spatio-temporal Traffic Graphs. - Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat:
Deep Network Ensemble Learning applied to Image Classification using CNN Trees. - Pavanakumar Mohanamuraly, Gabriel Staffelbach:
Hardware locality-aware partitioning and dynamic load-balancing of unstructured meshes for large-scale scientific applications. - Qiao Liu, Xin Li, Zhenyu He, Chenglong Li, Jun Li, Zikun Zhou, Di Yuan, Jing Li, Kai Yang, Nana Fan, Feng Zheng:
LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark. - Tristan Miller, Denis Auroux:
GPP, the Generic Preprocessor. - Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos:
A Survey on the Evolution of Stream Processing Systems. - Caroline Gaze-Maillot, Antonio E. Porreca:
Profiles of dynamical systems and their algebra. - Ivan Khokhlov, Vladimir Litvinenko, Ilya Ryakin, Konstantin S. Yakovlev:
Planning to Score a Goal in Robotic Football with Heuristic Search. - Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. - Blas Kolic, Joel Dyer:
Data-driven modeling of public risk perception and emotion on Twitter during the Covid-19 pandemic. - Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin:
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. - Andrew J. Weinert, Ngaire Underhill, Bilal Gill, Ashley Wicks:
Processing of Crowdsourced Observations of Aircraft in a High Performance Computing Environment. - Paul Ryan, Harshvardhan J. Pandit, Rob Brennan:
Towards a Semantic Model of the GDPR Register of Processing Activities. - Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty:
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. - Ivo Kubjas, Vitaly Skachek:
Failure Probability Analysis for Partial Extraction from Invertible Bloom Filters. - Aritra Banerjee, Michael Clear, Hitesh Tewari:
Demystifying the Role of zk-SNARKs in Zcash. - Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns:
Shape Adaptor: A Learnable Resizing Module. - Batya Kenig, Dan Suciu:
A Dichotomy for the Generalized Model Counting Problem for Unions of Conjunctive Queries. - Congpei An, Hao-Ning Wu:
Tikhonov regularization for polynomial approximation problems in Gauss quadrature points. - Udaya Pratap Singh:
A new technique to solve linear integro-differential equations (IDEs) with modified Bernoulli polynomials. - Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. - Shenghe Xu, Murali S. Kodialam, T. V. Lakshman, Shivendra S. Panwar:
Learning Based Methods for Traffic Matrix Estimation from Link Measurements. - Sadegh Etemad, Maryam Amirmazlaghani:
Color Texture Image Retrieval Based on Copula Multivariate Modeling in the Shearlet Domain. - Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawendé F. Bissyandé, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, Yves Le Traon:
On the Efficiency of Test Suite based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs. - Jonathan R. Williford, Brandon B. May, Jeffrey Byrne:
Explainable Face Recognition. - Nicole Fitzgerald, Jacopo Tagliabue:
On The Plurality of Graphs. - Tianshui Chen, Tao Pu, Yuan Xie, Hefeng Wu, Lingbo Liu, Liang Lin:
Look into Facial Expression Domain Adaptation: Adversarial Graph Learning and A Fair Evaluation Benchmark. - Lars Grasedyck, Maren Klever, Christian Löbbert, Tim A. Werthmann:
A parameter-dependent smoother for the multigrid method. - Piyush Yadav, Dipto Sarkar, Dhaval Salwala, Edward Curry:
Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic Cameras. - Ozge Mercanoglu Sincan, Hacer Yalim Keles:
AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods. - Duygu Sarikaya, Jason J. Corso, Khurshid A. Guru:
Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection. - Dimitrios Michael Manias, Abdallah Shami:
The Need for Advanced Intelligence in NFV Management and Orchestration. - Aristide Baratin, Thomas George, César Laurent, R. Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien:
Implicit Regularization in Deep Learning: A View from Function Space. - Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks with Local Coordinate Coding. - Étienne Goffinet, Anthony Coutant, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi:
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation. - Yingwei Pan, Jun Xu, Yehao Li, Ting Yao, Tao Mei:
Pre-training for Video Captioning Challenge 2020 Summary. - Manuel Rebol, Patrick Knöbelreiter:
Frame-To-Frame Consistent Semantic Segmentation. - Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or:
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation. - Paul Tarau, Eduardo Blanco:
Interactive Text Graph Mining with a Prolog-based Dialog Engine. - Sohini Roy:
SSGMT: A Secure Smart Grid Monitoring Technique. - Tao Guo, Ruida Zhou, Chao Tian:
New Results on the Storage-Retrieval Tradeoff in Private Information Retrieval Systems. - Mohammed Alser, Zülal Bingöl, Damla Senol Cali, Jeremie S. Kim, Saugata Ghose, Can Alkan, Onur Mutlu:
Accelerating Genome Analysis: A Primer on an Ongoing Journey. - Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Deep Traffic Sign Detection and Recognition Without Target Domain Real Images. - Bingyao Huang, Tao Sun, Haibin Ling:
End-to-end Full Projector Compensation. - Mark Nicholas Finean, Wolfgang Merkt, Ioannis Havoutis:
Predicted Composite Signed-Distance Fields for Real-Time Motion Planning in Dynamic Environments. - Ting Yao, Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Tao Mei:
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning. - Ángel González-Prieto, Jorge Pérez, Jessica Díaz, Daniel López-Fernández:
Inter-Coder Agreement for Improving Reliability in Software Engineering Qualitative Research. - Sinisa Druzeta, Stefan Ivic:
Anakatabatic Inertia: Particle-wise Adaptive Inertia for PSO. - Navid Nouri, Darya Ardan, Mahmood Mohassel Feghhi:
Age of Information-Reliability Trade-offs in Energy Harvesting Sensor Networks. - Micah Beck, Terry Moore:
Exposed Buffer Architecture for Programmable and Stateful Networking. - Matteo Dunnhofer, Niki Martinel, Christian Micheloni:
An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers. - Ana Gallego-Cuiñas, Esteban Romero-Frías, Wenceslao Arroyo-Machado:
Independent publishers and social networks in the 21st century: the balance of power in the transatlantic Spanish-language book market. - Ruichen Jiang, Sheng Zhou:
Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning. - Miquel Miró-Nicolau, Biel Moyà Alcover, Manuel González Hidalgo, Antoni Jaume-i-Capó:
Segmenting overlapped objects in images. A study to support the diagnosis of sickle cell disease. - Hao Yin, Xiaojun Guo, Pengyu Liu, Xiaojun Hei, Yayu Gao:
Predicting Channel Quality Indicators for 5G Downlink Scheduling in a Deep Learning Approach. - Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion. - Vitaly Aksenov, Dan Alistarh, Alexandra Drozdova, Amirkeivan Mohtashami:
The Splay-List: A Distribution-Adaptive Concurrent Skip-List. - Parker Lamb, Alexander Millar, Ramón Fuentes:
Swipe dynamics as a means of authentication: results from a Bayesian unsupervised approach. - Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman:
RareAct: A video dataset of unusual interactions. - Yu Han, Shuai Yang, Wenjing Wang, Jiaying Liu:
From Design Draft to Real Attire: Unaligned Fashion Image Translation. - Chengyan Zhao, Masaki Ogura, Kenji Sugimoto:
Finite-time Control of Discrete-time Positive Linear Systems via Convex Optimization. - Adrian Lopez Rodriguez, Benjamin Busam, Krystian Mikolajczyk:
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data. - Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi:
Multiple Descent: Design Your Own Generalization Curve. - Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Lukas Kades, Jan M. Pawlowski, Markus K. Oberthaler, Johannes Schemmel, Mihai A. Petrovici, Thomas Gasenzer, Martin Gärttner:
Spiking neuromorphic chip learns entangled quantum states. - Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Mike Burrows:
A Learned Performance Model for the Tensor Processing Unit. - Christopher Steven Timperley, Lauren Herckis, Claire Le Goues, Michael Hilton:
Understanding and Improving Artifact Sharing in Software Engineering Research. - Lê Thành Dung Nguyên, Camille Noûs, Cécilia Pradic:
Implicit automata in typed λ-calculi II: streaming transducers vs categorical semantics. - Ruikun Luo, Na Du, X. Jessie Yang:
Enhancing autonomy transparency: an option-centric rationale approach. - Jannis Walk, Niklas Kühl, Jonathan Schäfer:
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry. - Andrew L. Orekhov, Nabil Simaan:
Solving Cosserat Rod Models via Collocation and the Magnus Expansion. - Xiao Xue, Deyu Zhou, Yaodan Guo, Zhiyong Feng, Lejun Zhang, Lin Meng:
Value driven Analysis Framework of Service Ecosystem Evolution Mechanism. - Jiawei Chen, Jenson Hsiao, Chiu Man Ho:
Residual Frames with Efficient Pseudo-3D CNN for Human Action Recognition. - Zhengyuan Yang, Tianlang Chen, Liwei Wang, Jiebo Luo:
Improving One-stage Visual Grounding by Recursive Sub-query Construction. - Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang:
QPLEX: Duplex Dueling Multi-Agent Q-Learning. - Jason D. Lee, Qi Lei, Nikunj Saunshi, Jiacheng Zhuo:
Predicting What You Already Know Helps: Provable Self-Supervised Learning. - Tengda Han, Weidi Xie, Andrew Zisserman:
Memory-augmented Dense Predictive Coding for Video Representation Learning. - Yixiang Deng, Guang Lin, Xiu Yang:
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression. - Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong:
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. - Wei-Cheng Lai, Hendrik Schröter:
Ubicomp Digital 2020 - Handwriting classification using a convolutional recurrent network. - Sarang Chaudhari, Michael Clear, Hitesh Tewari:
Framework for a DLT Based COVID-19 Passport. - Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Analyzing the Components of Distributed Coevolutionary GAN Training. - Suyun Liu, Luís Nunes Vicente:
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach. - Gabriel L. S. Machado, Edemir Ferreira, Keiller Nogueira, Hugo N. Oliveira, Pedro H. T. Gama, Jefersson A. dos Santos:
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification. - Yu Wang, Mojtaba Zarei, Borzoo Bonakdarpour, Miroslav Pajic:
Probabilistic Conformance for Cyber-Physical Systems. - Mladen Kovacevic:
On the Maximum Entropy of a Sum of Independent Discrete Random Variables. - Iain J. Cruickshank, Kathleen M. Carley:
Characterizing Communities of Hashtag Usage on Twitter During the 2020 COVID-19 Pandemic by Multi-view Clustering. - Md Mofijul Islam, Tariq Iqbal:
HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm. - Martin Eberlein, Yannic Noller, Thomas Vogel, Lars Grunske:
Evolutionary Grammar-Based Fuzzing. - Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci:
Online Few-shot Gesture Learning on a Neuromorphic Processor. - Michael Burke, Kartic Subr, Subramanian Ramamoorthy:
Action sequencing using visual permutations. - Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans. - Jun Hayakawa, Behzad Dariush:
Recognition and 3D Localization of Pedestrian Actions from Monocular Video. - Nermin Samet, Samet Hicsonmez, Emre Akbas:
Reducing Label Noise in Anchor-Free Object Detection. - Shanghui Yang, Mengxia Zhu, Jingyang Hou, Xuesong Lu:
Deep Knowledge Tracing with Convolutions. - Devante Ayris, Kye Horbury, Blake Williams, Mitchell Blackney, Celine Shi Hui See, Syed Afaq Ali Shah:
Deep Learning Models for Early Detection and Prediction of the spread of Novel Coronavirus (COVID-19). - Ralf Gulde, Marc Tuscher, Akos Csiszar, Oliver Riedel, Alexander Verl:
Deep Reinforcement Learning using Cyclical Learning Rates. - Sebastian Müller, Thomas Vogel, Lars Grunske:
Bet and Run for Test Case Generation. - Qi Liu, Tian Tan, Kai Yu:
An Investigation on Deep Learning with Beta Stabilizer. - K. Seshadri, M. Naresh Kumar:
Mesh Processing Strategies and Fractals for Three Dimensional Morphological Analysis of a Granitic Terrain using IRS LISS IV and Carto DEM. - Renato Cordeiro de Amorim, Carlos David Lopez Ruiz:
Identifying meaningful clusters in malware data. - Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang:
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics. - Nicolas Gonthier, Saïd Ladjal, Yann Gousseau:
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. - Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard:
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. - Chenyun Wu, Mikayla Timm, Subhransu Maji:
Describing Textures using Natural Language. - Yang Chen, Diego Felipe Paez Granados, Hideki Kadone, Kenji Suzuki:
Control Interface for Hands-free Navigation of Standing Mobility Vehicles based on Upper-Body Natural Movements. - Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation via Sub-category Exploration. - Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji:
PhraseCut: Language-based Image Segmentation in the Wild. - Quentin Cohen-Solal:
Learning to Play Two-Player Perfect-Information Games without Knowledge. - Ananth Goyal:
A Self-Assessing Compilation Based Search Approach for Analytical Research and Data Retrieval. - Seungheon Doh, Jongpil Lee, Tae Hong Park, Juhan Nam:
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music. - Sadaqat ur Rehman, Muhammad Waqas, Shanshan Tu, Anis Koubaa, Obaid Ur Rehman, Jawad Ahmad, Muhammad Hanif, Zhu Han:
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval. - Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand:
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens. - Zhiyun Ren, Bo Peng, Titus K. Schleyer, Xia Ning:
Hybrid Collaborative Filtering Models for Clinical Search Recommendation. - Sahil Verma, Ruoyuan Gao, Chirag Shah:
Facets of Fairness in Search and Recommendation. - Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont:
Including Images into Message Veracity Assessment in Social Media. - Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi:
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention. - Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization. - Ivan Papusha, Rosa Wu, Joshua Brulé, Yanni Kouskoulas, Daniel Genin, Aurora C. Schmidt:
Incorrect by Construction: Fine Tuning Neural Networks for Guaranteed Performance on Finite Sets of Examples. - Zachary W. Robertson, Matthew R. Walter:
Concurrent Training Improves the Performance of Behavioral Cloning from Observation. - Bahar Ghadiri Bashardoost, Renée J. Miller, Kelly A. Lyons, Fatemeh Nargesian:
Knowledge Translation: Extended Technical Report. - Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Lorenzo Saule, Mario Scriminaci, Paolo Cremonesi:
ContentWise Impressions: An industrial dataset with impressions included. - Qian Wang, Toby P. Breckon:
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders. - Valentin Flunkert, Quentin Rebjock, Joel Castellon, Laurent Callot, Tim Januschowski:
A simple and effective predictive resource scaling heuristic for large-scale cloud applications. - Satrajit Chatterjee, Piotr Zielinski:
Making Coherence Out of Nothing At All: Measuring the Evolution of Gradient Alignment. - Qian Wang, Neelanjan Bhowmik, Toby P. Breckon:
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. - Stepan Dergachev, Konstantin S. Yakovlev, Ryhor Prakapovich:
A Combination of Theta*, ORCA and Push and Rotate for Multi-agent Navigation. - Rayan El Helou, Dileep M. Kalathil, Le Xie:
Fully Decentralized Reinforcement Learning-based Control of Photovoltaics in Distribution Grids for Joint Provision of Real and Reactive Power. - M. Esat Kalfaoglu, Sinan Kalkan, A. Aydin Alatan:
Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition. - Yijie Mao, Enrico Piovano, Bruno Clerckx:
Rate-Splitting Multiple Access for Overloaded Cellular Internet of Things. - Nguyen Cong Luong, Nguyen Thi Thanh Van, Shaohan Feng, Huy Thanh Nguyen, Dusit Niyato, Dong In Kim:
Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach. - Alexander Cloninger, Hrushikesh N. Mhaskar:
Cautious Active Clustering. - Jin Peng Zhou, Ga Wu, Zheda Mai, Scott Sanner:
Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering. - Motohisa Fukuda, Takashi Okuno, Shinya Yuki:
Central object segmentation by deep learning for fruits and other roundish objects. - Ulrik Brandes, Julian Walter, Johannes Zink:
Erratum: Fast and Simple Horizontal Coordinate Assignment. - Botros N. Hanna, Ly Ly T. Trieu, Tran Cao Son, Nam T. Dinh:
An Application of ASP in Nuclear Engineering: Explaining the Three Mile Island Nuclear Accident Scenario. - Seong Hun Lee, Javier Civera:
Geometric Interpretations of the Normalized Epipolar Error. - Mohini Bariya, Deepjyoti Deka, Alexandra von Meier:
Guaranteed Phase & Topology Identification in Three Phase Distribution Grids. - Sirui Song, Zefang Zong, Yong Li, Xue Liu, Yang Yu:
Reinforced Epidemic Control: Saving Both Lives and Economy. - Seong Hun Lee, Javier Civera:
Robust Uncertainty-Aware Multiview Triangulation. - Akihisa Morikawa, Yutaka Matsubara:
Safety design concepts for statistical machine learning components toward accordance with functional safety standards. - Mehrdad Tahmasbi, Matthieu R. Bloch:
On Covert Quantum Sensing and the Benefits of Entanglement. - Vishnu Vardhan Chetlur, Harpreet S. Dhillon:
On the Load Distribution of Vehicular Users Modeled by a Poisson Line Cox Process. - Mingmin Zhen, Shiwei Li, Lei Zhou, Jiaxiang Shang, Haoan Feng, Tian Fang, Long Quan:
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation. - Upasana Dutta, Rhett Hanscom, Jason Shuo Zhang, Richard Han, Tamara Lehman, Qin Lv, Shivakant Mishra:
Analyzing Twitter Users' Behavior Before and After Contact by the Internet Research Agency. - Wenya Qi, Padmanabhan Seshaiyer, Junping Wang:
Finite element method with the total stress variable for Biot's consolidation model. - Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone:
Reinforced Grounded Action Transformation for Sim-to-Real Transfer. - Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone:
Stochastic Grounded Action Transformation for Robot Learning in Simulation. - Manush Bhatt, Rajesh Kalyanam, Gen Nishida, Liu He, Christopher May, Dev Niyogi, Daniel G. Aliaga:
Design and Deployment of Photo2Building: A Cloud-based Procedural Modeling Tool as a Service. - Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. - Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki:
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping. - Abhinava Sikdar, Niladri Chatterjee:
An improved Bayesian TRIE based model for SMS text normalization. - Teng Liu, Bing Huang, Xingyu Mu, Fuqing Zhao, Xiaolin Tang, Dongpu Cao:
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles. - Shih-Lun Wu, Yi-Hsuan Yang:
The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures. - Yuetian Luo, Anru R. Zhang:
A Schatten-q Matrix Perturbation Theory via Perturbation Projection Error Bound. - Eshan Chattopadhyay, Jason Gaitonde, Chin Ho Lee, Shachar Lovett, Abhishek Shetty:
Fractional Pseudorandom Generators from Any Fourier Level. - Ragesh K. Ramachandran, Pietro Pierpaoli, Magnus Egerstedt, Gaurav S. Sukhatme:
Resilient Monitoring in Heterogeneous Multi-robot Systems through Network Reconfiguration. - Farzane Amirzade, Mohammad-Reza Sadeghi, Daniel Panario:
Construction of protograph-based LDPC codes with chordless short cycles. - Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun:
Structural Plan of Indoor Scenes with Personalized Preferences. - Clement Lork, Michael Cubillas, Benny Kai Kiat Ng, Chau Yuen, Matthew Tan:
Minimizing Electricity Cost through Smart Lighting Control for Indoor Plant Factories. - Eloïse Berson, Catherine Soladié, Nicolas Stoiber:
Real-Time Cleaning and Refinement of Facial Animation Signals. - Jie Shao, Xin Wen, Bingchen Zhao, Changhu Wang, Xiangyang Xue:
Context Encoding for Video Retrieval with Contrastive Learning. - Zhao-Min Chen, Xin Jin, Borui Zhao, Xiu-Shen Wei, Yanwen Guo:
Hierarchical Context Embedding for Region-based Object Detection. - Gabriel Lima, Changyeon Kim, Seungho Ryu, Chihyung Jeon, Meeyoung Cha:
Collecting the Public Perception of AI and Robot Rights. - Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov:
Distributed Non-Negative Tensor Train Decomposition. - Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Appearance Consensus Driven Self-Supervised Human Mesh Recovery. - Yuwen Xiong, Mengye Ren, Raquel Urtasun:
LoCo: Local Contrastive Representation Learning. - Vamsi Karthik Vadlamani, Manish Bhattarai, Meenu Ajith, Manel Martínez-Ramón:
A Novel Indoor Positioning System for unprepared firefighting scenarios. - Rajat Tandon:
A Survey of Distributed Denial of Service Attacks and Defenses. - Junho Choi, Hyun Myung:
BRM Localization: UAV Localization in GNSS-Denied Environments Based on Matching of Numerical Map and UAV Images. - Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari:
PDE-Driven Spatiotemporal Disentanglement. - Hwijeen Ahn, Jimin Sun, Chan Young Park, Jungyun Seo:
NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer. - Chaofan Dai, Wei Pan, Xuequan Lu:
Segmentation Based Mesh Denoising. - Zehao Huang, Zehui Chen, Qiaofei Li, Hongkai Zhang, Naiyan Wang:
1st Place Solutions of Waymo Open Dataset Challenge 2020 - 2D Object Detection Track. - Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie:
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. - Antoine Caillon, Adrien Bitton, Brice Gatinet, Philippe Esling:
Timbre latent space: exploration and creative aspects. - Stefan Heid, Marcel Wever, Eyke Hüllermeier:
Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction. - Te-Yuan Liu, Ata Mahjoubfar, Daniel Prusinski, Luis Stevens:
Neuromorphic Computing for Content-based Image Retrieval. - Roberto J. Cier, Sergio Rojas, Victor M. Calo:
A nonlinear weak constraint enforcement method for advection-dominated diffusion problems. - Pamina Georgiou, Bernhard Gleiss, Laura Kovács:
Trace Logic for Inductive Loop Reasoning. - Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu:
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation. - Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu:
Class-Incremental Domain Adaptation. - Bharathi Raja Chakravarthi, Priya Rani, Mihael Arcan, John P. McCrae:
A Survey of Orthographic Information in Machine Translation. - Mert Bülent Sariyildiz, Julien Perez, Diane Larlus:
Learning Visual Representations with Caption Annotations. - Adrien Bitton, Philippe Esling, Tatsuya Harada:
Neural Granular Sound Synthesis. - Elena Bellodi, Marco Alberti, Fabrizio Riguzzi, Riccardo Zese:
MAP Inference for Probabilistic Logic Programming. - Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon:
Analysis and Transfer of Human Movement Manipulability in Industry-like Activities. - Daizong Liu, Xiaoye Qu, Xiao-Yang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu:
Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization. - Hyungtae Lim, Hyeonjae Gil, Hyun Myung:
MSDPN: Monocular Depth Prediction with Partial Laser Observation using Multi-stage Neural Networks. - Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li:
Memory Efficient Class-Incremental Learning for Image Classification. - Ryoma Sin'ya:
Asymptotic Approximation by Regular Languages. - Pierre Talbot, Éric Monfroy, Charlotte Truchet:
Modular Constraint Solver Cooperation via Abstract Interpretation. - Yenan Jiang, Ying Li, Shanrong Zou, Haokui Zhang, Yunpeng Bai:
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network. - Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi:
PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning. - Borja Martínez, Cristina Cano, Xavier Vilajosana:
Debunking Wireless Sensor Networks Myths. - Enzo Tartaglione, Marco Grangetto:
A non-discriminatory approach to ethical deep learning. - Yu-Hua Chen, Yu-Hsiang Huang, Wen-Yi Hsiao, Yi-Hsuan Yang:
Automatic Composition of Guitar Tabs by Transformers and Groove Modeling. - Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, Junhui Liu:
Boundary Content Graph Neural Network for Temporal Action Proposal Generation. - Dhruv Verma, Kshitij Gulati, Rajiv Ratn Shah:
Addressing the Cold-Start Problem in Outfit Recommendation Using Visual Preference Modelling. - Dmitry Ignatov, Andrey Ignatov:
Controlling Information Capacity of Binary Neural Network. - Luca Bergamaschi, Angeles Martinez:
Parallel Newton-Chebyshev Polynomial Preconditioners for the Conjugate Gradient method. - Robert Ridley, Liang He, Xinyu Dai, Shujian Huang, Jiajun Chen:
Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring. - Ertugrul Basar, Ibrahim Yildirim:
SimRIS Channel Simulator for Reconfigurable Intelligent Surfaces in Future Wireless Networks. - Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Zhicheng Yang, Ruiyu Li, Jiaya Jia:
Prior Guided Feature Enrichment Network for Few-Shot Segmentation. - Eddie Jones, Steven J. Ramsay:
Intensional Datatype Refinement. - Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Learning from a Complementary-label Source Domain: Theory and Algorithms. - Youcai Zhang, Zhonghao Lan, Yuchen Dai, Fangao Zeng, Yan Bai, Jie Chang, Yichen Wei:
Prime-Aware Adaptive Distillation. - Li Wei, Chongwen Huang, George C. Alexandropoulos, Chau Yuen, Zhaoyang Zhang, Mérouane Debbah:
Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications. - Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu:
Taking Notes on the Fly Helps BERT Pre-training. - Kai Fabi, Jonas Schneider:
On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach. - Yuke Zhu, Yan Bai, Yichen Wei:
Spherical Feature Transform for Deep Metric Learning. - Mengzuo Huang, Feng Li, Wuhe Zou, Hongbo Zhang, Weidong Zhang:
SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration. - Lingxi Xie, Xin Chen, Kaifeng Bi, Longhui Wei, Yuhui Xu, Zhengsu Chen, Lanfei Wang, An Xiao, Jianlong Chang, Xiaopeng Zhang, Qi Tian:
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap. - Mara Graziani, Sebastian Otálora, Henning Müller, Vincent Andrearczyk:
Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. - Alan F. Smeaton, Swathikiran Srungavarapu, Cyril Messaraa, Claire Tansey:
Tracking Skin Colour and Wrinkle Changes During Cosmetic Product Trials Using Smartphone Images. - Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman:
Learning Stereo from Single Images. - Alon Oring, Zohar Yakhini, Yacov Hel-Or:
Faithful Autoencoder Interpolation by Shaping the Latent Space. - Rui Liu, Berrak Sisman, Guanglai Gao, Haizhou Li:
Expressive TTS Training with Frame and Style Reconstruction Loss. - Liyao Lyu, Keke Wu, Rui Du, Jingrun Chen:
Enforcing exact boundary and initial conditions in the deep mixed residual method. - Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof:
Generic identifiability of subnetworks in a linear dynamic network: the full measurement case. - Romulo Meira Goes, Eunsuk Kang, Raymond H. Kwong, Stéphane Lafortune:
Synthesis of Sensor Deception Attacks at the Supervisory Layer of Cyber-Physical Systems. - Yuzhu Wu, Zhen Zhang, Gang Kou, Hengjie Zhang, Xiangrui Chao, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence. - Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li:
Multiple Code Hashing for Efficient Image Retrieval. - Charlie Dickens, Eric Meissner, Pablo G. Moreno, Tom Diethe:
Interpretable Anomaly Detection with Mondrian P{ó}lya Forests on Data Streams. - Xinzhi Wang, Huao Li, Rui Liu, Hui Zhang, Michael Lewis, Katia P. Sycara:
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System. - Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci:
Online Continual Learning under Extreme Memory Constraints. - Fleurianne Bertrand, Lena Lambers, Tim Ricken:
Least Squares Finite Element Method for Hepatic Sinusoidal Blood Flow. - Naoki Wake, Riku Arakawa, Iori Yanokura, Takuya Kiyokawa, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi:
A Learning-from-Observation Framework: One-Shot Robot Teaching for Grasp-Manipulation-Release Household Operations. - Arthur D. Reys, Danilo Silva, Daniel Severo, Saulo D. S. Pedro, Marcia M. de Souza e Sá, Guilherme A. C. Salgado:
Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes. - Christoph Böhm, Blaz Hudobivnik, Michele Marino, Peter Wriggers:
Electro-magneto-mechanically response of polycrystalline materials: Computational Homogenization via the Virtual Element Method. - George Baryannis, Ilias Tachmazidis, Sotiris Batsakis, Grigoris Antoniou, Mario Alviano, Emmanuel Papadakis:
A Generalised Approach for Encoding and Reasoning with Qualitative Theories in Answer Set Programming. - Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. - Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
TREND: Transferability based Robust ENsemble Design. - Samarth Rawal:
Multi-Perspective Semantic Information Retrieval in the Biomedical Domain. - Thomas Stahlbuhk, Brooke Shrader, Eytan H. Modiano:
Throughput Maximization in Uncooperative Spectrum Sharing Networks. - Maren Awiszus, Frederik Schubert, Bodo Rosenhahn:
TOAD-GAN: Coherent Style Level Generation from a Single Example. - Qi Liu, Lijuan Wang, Qiang Huo:
A Study on Effects of Implicit and Explicit Language Model Information for DBLSTM-CTC Based Handwriting Recognition. - Fernando Alonso-Fernandez, Nicole Mariah Sharon Belvisi, Kevin Hernandez-Diaz, Naveed Muhammad, Josef Bigün:
Forensic Writer Identification Using Microblogging Texts. - Kwadwo Osei Bonsu:
Weighted Accuracy Algorithmic Approach In Counteracting Fake News And Disinformation. - Qiangang Jia, Zhaoyu Hu, Yiyan Li, Zheng Yan, Sijie Chen:
GenCos' Behaviors Modeling Based on Q Learning Improved by Dichotomy. - Jiamin Jiang:
Localized Nonlinear Solution Strategies for Efficient Simulation of Unconventional Reservoirs. - Qisi Wang, Yutian Tao, Eric Brandt, Court B. Cutting, Eftychios Sifakis:
Optimized Processing of Localized Collisions in Projective Dynamics. - Joppe Valentijn Wouts:
Text-based classification of interviews for mental health - juxtaposing the state of the art. - Manoel Veríssimo dos Santos Neto, Ayrton Denner da Silva Amaral, Nádia Félix Felipe da Silva, Anderson da Silva Soares:
Deep Learning Brasil - NLP at SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets. - Koustava Goswami, Priya Rani, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae:
ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text. - Hozan K. Hamarashid, Soran A. M. Saeed, Tarik A. Rashid:
Next word prediction based on the N-gram model for Kurdish Sorani and Kurmanji. - Shuai Zhang, Peng Zhang, Xindian Ma, Junqiu Wei, Ningning Wang, Qun Liu:
TensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling. - Catherine Yeo, Alyssa Chen:
Defining and Evaluating Fair Natural Language Generation. - Hui Zhou, Xinge Zhu, Xiao Song, Yuexin Ma, Zhe Wang, Hongsheng Li, Dahua Lin:
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation. - Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova:
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection. - Qiangang Jia, Zhaoyu Hu, Yiyan Li, Zheng Yan, Sijie Chen:
A Reinforcement Learning Method For Power Suppliers' Strategic Bidding with Insufficient Information. - Lei Yang, Yanyan Lu, Jiannong Cao, Jiaming Huang, Mingjin Zhang:
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI. - Ali Hürriyetoglu:
Tense, aspect and mood based event extraction for situation analysis and crisis management. - Rui Hu, Yanmin Gong, Yuanxiong Guo:
Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning. - Panagiotis Fountas, Kostas Kolomvatsos, Christos Anagnostopoulos:
Data Synopses Management based on a Deep Learning Model. - Bruce W. Lee, Jason Hyung-Jong Lee:
LXPER Index: a curriculum-specific text readability assessment model for EFL students in Korea. - Md. Rafiqul Islam Rabin, Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang, Mohammad Amin Alipour:
On the Generalizability of Neural Program Analyzers with respect to Semantic-Preserving Program Transformations. - Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Susan A. Murphy:
IntelligentPooling: Practical Thompson Sampling for mHealth. - Abhishek Kumar Dubey, Alina Peluso, Jacob D. Hinkle, Devanshu Agarawal, Zilong Tan:
Model Reduction of Shallow CNN Model for Reliable Deployment of Information Extraction from Medical Reports. - Riccardo Dondi, Pietro Hiram Guzzi, Mohammad Mehdi Hosseinzadeh:
Top-k Connected Overlapping Densest Subgraphs in Dual Networks. - Fei Wen, He-Wen Wei, Yipeng Liu, Peilin Liu:
Simultaneous Consensus Maximization and Model Fitting. - Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li:
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. - David Cian, Jan van Gemert, Attila Lengyel:
Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task. - Alberto Bracci, Matthieu Nadini, Maxwell Aliapoulios, Damon McCoy, Ian W. Gray, Alexander Teytelboym, Angela Gallo, Andrea Baronchelli:
The COVID-19 online shadow economy. - Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Shape Consistent 2D Keypoint Estimation under Domain Shift. - Nick Brettell, Andrea Munaro, Daniël Paulusma:
List k-Colouring Pt-Free Graphs with No Induced 1-Subdivision of K1, s: a Mim-width Perspective. - Junchi Liang, Abdeslam Boularias:
Learning Transition Models with Time-delayed Causal Relations. - Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone:
An Imitation from Observation Approach to Sim-to-Real Transfer. - Mohammad Amin Nabian, Hadi Meidani:
Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo. - Simon Marynissen, Bart Bogaerts, Marc Denecker:
Exploiting Game Theory for Analysing Justifications. - Marc Böhlen, Wawan Sujarwo:
Machine Learning in Ethnobotany - a first experiment. - Adrian Sandu, Michael Günther, Steven Roberts:
Linearly implicit GARK schemes. - Haotian Li, Huan Wei, Yong Wang, Yangqiu Song, Huamin Qu:
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network. - Mohamad Al Ahdab, John Leth, Torben Knudsen, Henrik Glavind Clausen:
Glucose-Insulin Dynamical Model for Type 2 Diabetic Patients. - Andreas Dedner, Alice Hodson:
A general approach for constructing robust virtual element methods for fourth order problems. - Claude Castelluccia, Nataliia Bielova, Antoine Boutet, Mathieu Cunche, Cédric Lauradoux, Daniel Le Métayer, Vincent Roca:
DESIRE: A Third Way for a European Exposure Notification System Leveraging the best of centralized and decentralized systems. - Mohcine Madkour, Keith A. Butler, Eric Mercer, Ali Bahrami, Cui Tao:
Semantic based model of Conceptual Work Products for formal verification of complex interactive systems. - Yanbing Mao, Naira Hovakimyan, Petros G. Voulgaris, Lui Sha:
Finite-Time Model-Learning Based L1-Simplex For Integrated TCS and ABS. - Mona Ghassemian, Paul Muschamp, Dan Warren:
Experience Building A 5G Testbed Platform. - Lorenzo Bacchiani, Mario Bravetti, Saverio Giallorenzo, Jacopo Mauro, Iacopo Talevi, Gianluigi Zavattaro:
Microservice Interface Based Deployment Orchestration. - Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Carsten Stoll, Christian Theobalt:
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations. - A. H. Bell-Thomas:
Exploring Variational Deep Q Networks. - Takanori Fujiwara, Shilpika, Naohisa Sakamoto, Jorji Nonaka, Keiji Yamamoto, Kwan-Liu Ma:
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction. - Xi Huang, Yinxu Tang, Ziyu Shao, Yang Yang, Hong Xu:
Joint Switch-Controller Association and Control Devolution for SDN Systems: An Integration of Online Control and Online Learning. - Xi Huang, Simeng Bian, Xin Gao, Weijie Wu, Ziyu Shao, Yang Yang, John C. S. Lui:
Online VNF Chaining and Predictive Scheduling: Optimality and Trade-offs. - Xi Huang, Simeng Bian, Ziyu Shao, Hong Xu:
Predictive Switch-Controller Association and Control Devolution for SDN Systems. - Boyeong Hong, Bartosz J. Bonczak, Arpit Gupta, Lorna E. Thorpe, Constantine E. Kontokosta:
Exposure Density and Neighborhood Disparities in COVID-19 Infection Risk: Using Large-scale Geolocation Data to Understand Burdens on Vulnerable Communities. - Yanhui Guo, Xi Zhang, Xiaolin Wu:
Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos. - Fei Xue, Xin Wang, Junqiu Wang, Hongbin Zha:
Deep Visual Odometry with Adaptive Memory. - Inaam Ilahi, Hafiz Muhammad Abdullah Zia, Ahtazaz Ehsan, Rauf Tabassam, Armaghan Ahmed:
Efficient Urdu Caption Generation using Attention based LSTMs. - Alastair Flynn:
Inducing game rules from varying quality game play. - Szilvia Lestyán, Gergely Ács, Gergely Biczók:
Privacy-preserving release of mobility data: a clean-slate approach. - Pingfan Kong, Li Li, Jun Gao, Timothée Riom, Yanjie Zhao, Tegawendé F. Bissyandé, Jacques Klein:
Anchor: Locating Android Framework-specific Crashing Faults. - Shuang Li, Binhui Xie, Jiashu Wu, Ying Zhao, Chi Harold Liu, Zhengming Ding:
Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation. - Junqi Zhao, Esther Obonyo:
Applying Incremental Deep Neural Networks-based Posture Recognition Model for Injury Risk Assessment in Construction. - Felipe Garrido-Lucero, Rida Laraki:
Stable Matching Games. - Shihua Huang, Cheng He, Ran Cheng:
Multimodal Image-to-Image Translation via a Single Generative Adversarial Network. - Christian Böhm:
Space-filling Curves for High-performance Data Mining. - Assaf Ben-Yishai, Ofer Shayevitz:
Simple Modulo can Significantly Outperform Deep Learning-based Deepcode. - Duong T. A. Nguyen, Longfei Li, Hangjie Ji:
Stable and accurate numerical methods for generalized Kirchhoff-Love plates. - Murari Mandal, Lav Kush Kumar, Santosh Kumar Vipparthi:
MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos. - Neil Hulbert, Sam Spillers, Brandon Francis, James Haines-Temons, Ken Gil Romero, Benjamin De Jager, Sam Wong, Kevin Flora, Bowei Huang, Athirai A. Irissappane:
EasyRL: A Simple and Extensible Reinforcement Learning Framework. - Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas:
Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing. - Depeng Liu, Bow-Yaw Wang, Lijun Zhang:
Verifying Pufferfish Privacy in Hidden Markov Models. - Mohammad G. Khoshkholgh, Halim Yanikomeroglu:
Faded-Experience Trust Region Policy Optimization for Model-Free Power Allocation in Interference Channel. - Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita:
The Strategic Perceptron. - Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker:
Deep Inverse Q-learning with Constraints. - Sayamindu Dasgupta, Benjamin Mako Hill:
Designing for Critical Algorithmic Literacies. - Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman:
Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors. - Abhishek Tiwari, Jyoti Prakash, Sascha Groß, Christian Hammer:
A Large Scale Analysis of Android-Web Hybridization. - Wasi Uddin Ahmad, Xiao Bai, Soomin Lee, Kai-Wei Chang:
Select, Extract and Generate: Neural Keyphrase Generation with Syntactic Guidance. - Mayank Mundhra, Chester Rebeiro:
SISSLE in consensus-based Ripple: Some Improvements in Speed, Security, Last Mile Connectivity and Ease of Use. - Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang:
Can Adversarial Weight Perturbations Inject Neural Backdoors? - Gilad Asharov, T.-H. Hubert Chan, Kartik Nayak, Rafael Pass, Ling Ren, Elaine Shi:
Bucket Oblivious Sort: An Extremely Simple Oblivious Sort. - Brenden M. Lake, Gregory L. Murphy:
Word meaning in minds and machines. - Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Graph Neural Networks: Architectures, Stability and Transferability. - (Withdrawn) A Data-Structure for Approximate Longest Common Subsequence of A Set of Strings.
- Xiang 'Anthony' Chen:
FaceOff: Detecting Face Touching with a Wrist-Worn Accelerometer. - Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Ankit B. Patel:
Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics. - Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras:
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Robin Rombach, Patrick Esser, Björn Ommer:
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs. - Dikshant Sagar, Jatin Garg, Prarthana Kansal, Sejal Bhalla, Rajiv Ratn Shah, Yi Yu:
PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability. - Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang:
Entropy Guided Adversarial Model for Weakly Supervised Object Localization. - Walter Boscheri, Lorenzo Pareschi:
High order pressure-based semi-implicit IMEX schemes for the 3D Navier-Stokes equations at all Mach numbers. - Elcin Huseyn:
Deep Learning Based Early Diagnostics of Parkinsons Disease. - Andrii Dmytryshyn:
Recovering a perturbation of a matrix polynomial from a perturbation of its linearization. - Yaron Shany, Amit Berman:
A Groebner-bases approach to syndrome-based fast Chase decoding of Reed-Solomon codes. - Yu Huang, Yufei Tang, Hanqi Zhuang, James H. VanZwieten, Laurent M. Chérubin:
Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting. - Lars Diening, Johannes Storn, Tabea Tscherpel:
On the Sobolev and Lp-Stability of the L2-projection. - Krishnendra Shekhawat, Nitant Upasani, Sumit Bisht, Rahil N. Jain:
GPLAN: Computer-Generated Dimensioned Floorplans for given Adjacencies. - Christos Xenophontos, S. Franz, Irene Sykopetritou:
Mixed hp FEM for singularly perturbed fourth order boundary value problems with two small parameters. - Yossi Arjevani, Michael Field:
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry. - Riccardo Galanti, Bernat Coma-Puig, Massimiliano de Leoni, Josep Carmona, Nicolò Navarin:
Explainable Predictive Process Monitoring. - Nicolas Gonthier, Yann Gousseau, Saïd Ladjal:
High resolution neural texture synthesis with long range constraints. - Haoran Zhang, Diane J. Litman:
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring. - Francis McNamee, Schahram Dustdar, Peter Kilpatrick, Weisong Shi, Ivor T. A. Spence, Blesson Varghese:
A Case For Adaptive Deep Neural Networks in Edge Computing. - Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi:
Deep Multi Depth Panoramas for View Synthesis. - Giuseppa Castiglione, Stepan Holub:
The Intersection of 3-Maximal Submonids. - Eugene Vinitsky, Yuqing Du, Kanaad Parvate, Kathy Jang, Pieter Abbeel, Alexandre M. Bayen:
Robust Reinforcement Learning using Adversarial Populations. - Joseph Mesterhazy, Garrick Olson, Somalee Datta:
High performance on-demand de-identification of a petabyte-scale medical imaging data lake. - Charles Grover, Cong Ling, Roope Vehkalahti:
Non-Commutative Ring Learning With Errors From Cyclic Algebras. - Ross Gruetzemacher, Florian Dorner, Niko Bernaola-Alvarez, Charlie Giattino, David Manheim:
Forecasting AI Progress: A Research Agenda. - Ron Korine, Danny Hendler:
DAEMON: Dataset-Agnostic Explainable Malware Classification Using Multi-Stage Feature Mining. - S. Alireza Golestaneh, Kris M. Kitani:
Importance of Self-Consistency in Active Learning for Semantic Segmentation. - Mario D'Acunto, Massimo Martinelli, Davide Moroni:
From Human Mesenchymal Stromal Cells to Osteosarcoma Cells Classification by Deep Learning. - Hao-Ren Yao, Der-Chen Chang, Ophir Frieder, Wendy Huang, I-Chia Liang, Chi-Feng Hung:
Cross-Global Attention Graph Kernel Network Prediction of Drug Prescription. - Mostafa Darvishi:
Optimum Reconfiguration of Routing Interconnection Network in APSoC Fabrics. - Yutong Sun, Mohit Prabhushankar, Ghassan AlRegib:
Implicit Saliency in Deep Neural Networks. - Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau:
Statistical Analysis of Downlink Zero-Forcing Beamforming. - Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings. - Giovanni Pasqualino, Antonino Furnari, Giovanni Signorello, Giovanni Maria Farinella:
Synthetic to Real Unsupervised Domain Adaptation for Single-Stage Artwork Recognition in Cultural Sites. - Zachary M. C. Baum, Yipeng Hu, Dean C. Barratt:
Multimodality Biomedical Image Registration using Free Point Transformer Networks. - Sin-Han Kang, Honggyu Jung, Dong-Ok Won, Seong-Whan Lee:
Counterfactual Explanation Based on Gradual Construction for Deep Networks. - Frank Uhlig:
The Eight Epochs of Math as regards past and future Matrix Computation. - Xu Zhang, Yulong Liu, Wei Cui:
Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information. - Allen Z. Ren, Sushant Veer, Anirudha Majumdar:
Generalization Guarantees for Multi-Modal Imitation Learning. - Liu Yang, Constantinos Daskalakis, George Em Karniadakis:
Generative Ensemble-Regression: Learning Stochastic Dynamics from Discrete Particle Ensemble Observations. - Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu:
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. - Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro:
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications. - Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Xiaoguang Han:
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples. - Changkyu Song, Abdeslam Boularias:
A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties: Identification and Robust Planning. - Hazhar Rahmani, Jason M. O'Kane:
What to Do When You Can't Do It All: Temporal Logic Planning with Soft Temporal Logic Constraints. - Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin:
Component Divide-and-Conquer for Real-World Image Super-Resolution. - Chengbin Hou, Han Zhang, Shan He, Ke Tang:
GloDyNE: Global Topology Preserving Dynamic Network Embedding. - Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang:
COALESCE: Component Assembly by Learning to Synthesize Connections. - Chun-Nan Hsu, Chia-Hui Chang, Thamolwan Poopradubsil, Amanda Lo, Karen A. William, Ko-Wei Lin, Anita E. Bandrowski, Ibrahim Burak Özyurt, Jeffrey S. Grethe, Maryann E. Martone:
Antibody Watch: Text Mining Antibody Specificity from the Literature. - Susumu Matsumae, Makoto Miyazaki:
Solving Dynamic Programming Problem by Pipeline Implementation on GPU. - Matiss Rikters, Ryokan Ri, Tong Li, Toshiaki Nakazawa:
Designing the Business Conversation Corpus. - Ke Wang, Siyuan Zhang, Junlan Chen, Fan Ren, Lei Xiao:
A feature-supervised generative adversarial network for environmental monitoring during hazy days. - Hartger Veeman, Ali Basirat:
An exploration of the encoding of grammatical gender in word embeddings. - Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick:
MusPy: A Toolkit for Symbolic Music Generation. - Wei Song, Boya Li, Zihan Xue, Zhenzhen Li, Wenhao Wang, Peng Liu:
Randomized Last-Level Caches Are Still Vulnerable to Cache Side-Channel Attacks! But We Can Fix It. - Kai Sun:
A Novel Approach for the Process Planning and Scheduling Problem Using the Concept of Maximum Weighted Independent Set. - Kai Sun:
An Algorithm Framework for the Exact Solution and Improved Approximation of the Maximum Weighted Independent Set Problem. - Yanyan Li, Nikolas Brasch, Yida Wang, Nassir Navab, Federico Tombari:
Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments. - Yanli Chen, Xue Jiang, Jun Lai, Peijun Li:
A fast algorithm for the electromagnetic scattering from a large rectangular cavity in three dimensions. - Jingyu Hao, Chengjia Wang, Heye Zhang, Guang Yang:
Annealing Genetic GAN for Minority Oversampling. - Yijiang Lian, Zhenjun You, Fan Wu, Wenqiang Liu, Jing Jia:
Retrieve Synonymous keywords for Frequent Queries in Sponsored Search in a Data Augmentation Way. - Jason A. Fries, Ethan Steinberg, Saelig Khattar, Scott L. Fleming, José D. Posada, Alison Callahan, Nigam H. Shah:
Trove: Ontology-driven weak supervision for medical entity classification. - Abdullah Tarek Farag, Ahmed Raafat Abd El-Wahab, Mahmoud Nada, Mohamed Yasser Abd El-Hakeem, Omar Sayed Mahmoud, Reem Khaled Rashwan, Ahmad El Sallab:
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans. - Tuomas P. Oikarinen, Tsui-Wei Weng, Luca Daniel:
Robust Deep Reinforcement Learning through Adversarial Loss. - Hendrik Heuer, Andreas Breiter:
More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition. - Hendrik Heuer, Andreas Breiter:
How Fake News Affect Trust in the Output of a Machine Learning System for News Curation. - Nurdan Kuru, S. Ilker Birbil, Mert Gürbüzbalaban, Sinan Yildirim:
Differentially Private Accelerated Optimization Algorithms. - Xia Liao, Shengguo Li, Yutong Lu, José E. Román:
A parallel structured divide-and-conquer algorithm for symmetric tridiagonal eigenvalue problems. - Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subclass Contrastive Loss for Injured Face Recognition. - Yusheng Tian, Philip John Gorinski:
Improving End-to-End Speech-to-Intent Classification with Reptile. - Ulrich Langer, Marco Zank:
Efficient Direct Space-Time Finite Element Solvers for Parabolic Initial-Boundary Value Problems in Anisotropic Sobolev Spaces. - Yan Hong, Li Niu, Jianfu Zhang, Weijie Zhao, Chen Fu, Liqing Zhang:
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation. - Xiaozheng Jian, Jianqiu Lu, Zexi Yuan, Ao Li:
Fast top-K Cosine Similarity Search through XOR-Friendly Binary Quantization on GPUs. - Hen Tzaban, Asaf Nadler, Yael Daihes, Asaf Shabtai:
MORTON: Detection of Malicious Routines in Large-Scale DNS Traffic. - Johanna Wald, Torsten Sattler, Stuart Golodetz, Tommaso Cavallari, Federico Tombari:
Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes. - Andrey Belogaev, Evgeny M. Khorov, Artem N. Krasilov, Andrey I. Lyakhov:
Analytical Study of Incremental Approach for Information Dissemination in Wireless Networks. - Bo-Yu Chen, Jordan B. L. Smith, Yi-Hsuan Yang:
Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops. - Yijiang Lian, Zhijie Chen, Xin Pei, Shuang Li, Yifei Wang, Yuefeng Qiu, Zhiheng Zhang, Zhipeng Tao, Liang Yuan, Hanju Guan, Ke-feng Zhang, Zhigang Li, Xiaochun Liu:
Optimizing AD Pruning of Sponsored Search with Reinforcement Learning. - Pedro Cabalar, Jorge Fandinno, Yuliya Lierler:
Modular Answer Set Programming as a Formal Specification Language. - Ankit Kariryaa, Tony Veale, Johannes Schöning:
Activity and mood-based routing for autonomous vehicles. - Masoud Davari, Daniel Hienert, Dagmar Kern, Stefan Dietze:
The Role of Word-Eye-Fixations for Query Term Prediction. - Pedro Cabalar, Jorge Fandinno, Javier Garea, Javier Romero, Torsten Schaub:
eclingo: A solver for Epistemic Logic Programs. - Mauricio Munoz-Arias, Jacquelien M. A. Scherpen, Alessandro Macchelli:
A variable rest length impedance grasping strategy in the port-Hamiltonian framework. - Jorge Fandinno, Vladimir Lifschitz, Patrick Lühne, Torsten Schaub:
Verifying Tight Logic Programs with anthem and Vampire. - Jin Wang, Jia Hu, Geyong Min, Albert Y. Zomaya, Nektarios Georgalas:
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning. - Pedro Cabalar, Martín Diéguez, Torsten Schaub, Anna Schuhmann:
Towards Metric Temporal Answer Set Programming. - Zhijun Liang, Junfa Liu, Yisheng Guan, Juan Rojas:
Pose-based Modular Network for Human-Object Interaction Detection. - Jonghwa Yim, Sang Hwan Kim:
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain. - Alexander Mehler, Wahed Hemati, Pascal Welke, Maxim Konca, Tolga Uslu:
Multiple Texts as a Limiting Factor in Online Learning: Quantifying (Dis-)similarities of Knowledge Networks across Languages. - Pawel Gawrychowski, Shay Mozes, Oren Weimann:
A Note on a Recent Algorithm for Minimum Cut. - Amir Shirian, Tanaya Guha:
Compact Graph Architecture for Speech Emotion Recognition. - Ozsel Kilinc, Giovanni Montana:
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals. - Homayoun Valafar, Faramarz Valafar, Okan K. Ersoy:
Parallel, Self Organizing, Consensus Neural Networks. - Gabriel Meseguer-Brocal, Rachel M. Bittner, Simon Durand, Brian Brost:
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations. - Gabriele Beltramo, Primoz Skraba:
Persistent Homology in 𝓁∞ Metric. - Dou Goodman, Xin Hao:
Attacking and Defending Machine Learning Applications of Public Cloud. - Mahesh Chandra:
A Novel Method for Scalable VLSI Implementation of Hyperbolic Tangent Function. - Raman Singh, Andrew Donegan, Hitesh Tewari:
Framework for a Decentralized Web. - Jinpeng Wang, Yiqi Lin, Andy J. Ma:
Self-supervised learning using consistency regularization of spatio-temporal data augmentation for action recognition. - Jiangwei Zhang, Li Zhang, Vigneshwaran Raveendran, Ziv Ben-Zuk, Leonard Lu:
PriceAggregator: An Intelligent System for Hotel Price Fetching. - Duncan Tilley, Christopher W. Cleghorn, Kshitij Thorat, Roger Deane:
Point Proposal Network: Accelerating Point Source Detection Through Deep Learning. - Andy Lücking, Sebastian Brückner, Giuseppe Abrami, Tolga Uslu, Alexander Mehler:
Computational linguistic assessment of textbook and online learning media by means of threshold concepts in business education. - Petr Kuznetsov, Thibault Rieutord:
On Decidability of 2-process Affine Models. - Raghunandan M. Rao, Harpreet S. Dhillon, Vuk Marojevic, Jeffrey H. Reed:
Underlay Radar-Massive MIMO Spectrum Sharing: Modeling Fundamentals and Performance Analysis. - Yuncheng Jiang:
Modeling and simulation of adaptive cruise control system. - Alp Aydinoglu, Victor M. Preciado, Michael Posa:
Stabilization of Complementarity Systems via Contact-Aware Controllers. - Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig:
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning. - Mariella Bonomo, Armando La Placa, Simona E. Rombo:
Identifying the k Best Targets for an Advertisement Campaign via Online Social Networks. - Mohammad A. Ghazizadeh, Abdolmajid Mohammadian:
An adaptive central-upwind scheme on quadtree grids for variable density shallow water equations. - Andrea Papenmeier, Alfred Sliwa, Dagmar Kern, Daniel Hienert, Ahmet Aker, Norbert Fuhr:
'A Modern Up-To-Date Laptop' - Vagueness in Natural Language Queries for Product Search. - Mike Eichhorn:
Optimal Routing Strategies for Autonomous Underwater Vehicles in Time-Varying Environment. - Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette:
Quality and Diversity in Evolutionary Modular Robotics. - Jingxing Jiang, Zhubin Wang, Fei Fang, Binqiang Zhao:
TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning. - Nicola Botta, Nuria Brede, Patrik Jansson, Tim Richter:
Extensional equality preservation and verified generic programming. - Annie A. M. Cuyt, Wen-shin Lee:
Parametric spectral analysis: scale and shift. - Jinpeng Wang, Yiqi Lin, Andy J. Ma, Pong C. Yuen:
Self-supervised Temporal Discriminative Learning for Video Representation Learning. - Erik M. Fredericks, Jared M. Moore:
Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems. - Stefan S. Dantchev, Nicola Galesi, Abdul Ghani, Barnaby Martin:
Proof complexity and the binary encoding of combinatorial principles. - Francesco Dagnino, Davide Ancona, Elena Zucca:
Flexible coinductive logic programming. - Nuria Brede, Nicola Botta:
Semantic verification of dynamic programming. - Seyedeh Fatemeh Razavi, Reshad Hosseini:
FRMDN: Flow-based Recurrent Mixture Density Network. - A. H. Bell-Thomas:
Interprocess Communication in FreeBSD 11: Performance Analysis. - He Jia, Aditi Laddha, Yin Tat Lee, Santosh S. Vempala:
Reducing Isotropy and Volume to KLS: An O(n3ψ2) Volume Algorithm. - Di Zhao, Sei Zhen Khong, Li Qiu:
Stabilization of Cascaded Two-Port Networked Systems with Simultaneous Nonlinear Uncertainties. - Wanxin Jin, Todd D. Murphey, Dana Kulic, Neta Ezer, Shaoshuai Mou:
Learning from Sparse Demonstrations. - Sophie Wood, Nicholas Matragkas, Dimitris S. Kolovos, Richard F. Paige, Simos Gerasimou:
Supporting Robotic Software Migration Using Static Analysis and Model-Driven Engineering. - Robert Miller, Phil Maguire:
GeoTree: a data structure for constant time geospatial search enabling a real-time mix-adjusted median property price index. - Laura Antonelli, Valentina De Simone, Daniela di Serafino:
Spatially Adaptive Regularization in Image Segmentation. - Ivan Khokhlov, Egor Davydenko, Ilya Osokin, Ilya Ryakin, Azer Babaev, Vladimir Litvinenko, Roman Gorbachev:
Tiny-YOLO object detection supplemented with geometrical data. - Cedric Schockaert:
A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0. - Alireza Sheikh, Alexandre Graell i Amat, Alex Alvarado:
Novel High-Throughput Decoding Algorithms for Product and Staircase Codes based on Error-and-Erasure Decoding. - Anakha V. Babu, Osvaldo Simeone, Bipin Rajendran:
SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks. - Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held:
Active Perception using Light Curtains for Autonomous Driving. - Carlos Eduardo Cancino Chacón, Silvan Peter, Shreyan Chowdhury, Anna Aljanaki, Gerhard Widmer:
On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game. - Alexandros-Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, Sotiris A. Tegos, Vasilis K. Papanikolaou, George K. Karagiannidis:
Machine Learning in Nano-Scale Biomedical Engineering. - Peilun Wu, Nour Moustafa, Shiyi Yang, Hui Guo:
Densely Connected Residual Network for Attack Recognition. - Nisarg Raval, Manisha Verma:
One word at a time: adversarial attacks on retrieval models. - Hsin-Yu Chang, Zhixiang Wang, Yung-Yu Chuang:
Domain-Specific Mappings for Generative Adversarial Style Transfer. - Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin:
Projecting to Manifolds via Unsupervised Learning. - Mohammad Shehab, Alexander K. Hagelskjær, Anders E. Kalør, Petar Popovski, Hirley Alves:
Traffic Prediction Based Fast Uplink Grant for Massive IoT. - Tianyu Cui, Gang Xiong, Gaopeng Gou, Junzheng Shi, Wei Xia:
6VecLM: Language Modeling in Vector Space for IPv6 Target Generation. - Jesse Russell:
Machine Learning Fairness in Justice Systems: Base Rates, False Positives, and False Negatives. - Johannes Klaus Fichte, Markus Hecher, Stefan Szeider:
A Time Leap Challenge for SAT Solving. - Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski:
Fuzzy Jaccard Index: A robust comparison of ordered lists. - Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Milena Pavlovic, Geir Kjetil Sandve, Victor Greiff, David P. Kreil, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter:
Hopfield Networks is All You Need. - Sirui Wang, Yuwei Tu, Qiong Wu, Adam Hare, Zhenming Liu, Christopher G. Brinton, Yanhua Li:
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation. - R. Krishnan, Prasanna Balaprakash:
Meta Continual Learning via Dynamic Programming. - Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Andrew C. Kirby, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Best of Both Worlds: High Performance Interactive and Batch Launching. - Mine Akbas, Aytekin Cibik:
Continuous Data Assimilation for the Double-Diffusive Natural Convection. - Amir Markovitz, Inbal Lavi, Or Perel, Shai Mazor, Roee Litman:
Can You Read Me Now? Content Aware Rectification using Angle Supervision. - Alessio Fiorentino, Jessica Zangari, Marco Manna:
DaRLing: A Datalog rewriter for OWL 2 RL ontological reasoning under SPARQL queries. - Chuhao Liu, Shaojie Shen:
An Augmented Reality Interaction Interface for Autonomous Drone. - Archit Rungta, Yash Soni, Parakh Agarwal, Biswajit Ghosh, Somesh Kumar:
Real-time and Autonomous Detection of Helipad for Landing Quad-Rotors by Visual Servoing. - Aleksander Mendoza-Drosik:
Glushkov's construction for functional subsequential transducers. - Xiao Xue, Zhaojie Chen, Shufang Wang, Zhiyong Feng, Yucong Duan, Zhangbing Zhou:
Value Entropy Model: Metric Method of Service Ecosystem Evolution. - Ryan J. Gallagher, Morgan R. Frank, Lewis Mitchell, Aaron J. Schwartz, Andrew J. Reagan, Christopher M. Danforth, Peter Sheridan Dodds:
Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts. - Thomas Küstner, Tobias Hepp, Marc Fischer, Martin Schwartz, Andreas Fritsche, Hans-Ulrich Häring, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis, Jürgen Machann:
Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies. - Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Pablo V. A. Barros, Sérgio Murilo Maciel Fernandes, Bruno J. T. Fernandes:
Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model. - Zhengyang Guo, Yi Li, Shaoyu Pei:
The Expected Size of Random Convex Layers and Convex Shells. - Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik:
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. - Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth:
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. - Marco Gaido, Mattia Antonino Di Gangi, Matteo Negri, Mauro Cettolo, Marco Turchi:
Contextualized Translation of Automatically Segmented Speech. - Chanoh Park, Peyman Moghadam, Jason L. Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes:
Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM. - Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt:
Aligning AI With Shared Human Values. - Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
MGPU-TSM: A Multi-GPU System with Truly Shared Memory. - Martin Schwarzl, Thomas Schuster, Michael Schwarz, Daniel Gruss:
Speculative Dereferencing of Registers: Reviving Foreshadow. - Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein:
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. - Ruigang Fu, Qingyong Hu, Xiaohu Dong, Yulan Guo, Yinghui Gao, Biao Li:
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs. - Filip Zagórski, Grant McClearn, Sarah Morin, Neal McBurnett, Poorvi L. Vora:
The Athena Class of Risk-Limiting Ballot Polling Audits. - Hongtao Wu, Gregory S. Chirikjian:
Can I Pour into It? Robot Imagining Open Containability Affordance of Previously Unseen Objects via Physical Simulations. - MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif, Aleksander Essex, Abdallah Shami:
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection. - Subhadip Maji, Anudeep Srivatsav Appe, Raghav Bali, Veera Raghavendra Chikka, Arijit Ghosh Chowdhury, Vamsi M. Bhandaru:
An Interpretable Deep Learning System for Automatically Scoring Request for Proposals. - Ashwini Raina, Asaf Cidon, Kyle Jamieson, Michael J. Freedman:
PrismDB: Read-aware Log-structured Merge Trees for Heterogeneous Storage. - Yukino Baba, Jiyi Li, Hisashi Kashima:
CrowDEA: Multi-view Idea Prioritization with Crowds. - Prasanna Date, Thomas E. Potok:
Adiabatic Quantum Linear Regression. - Michael Kissner:
A Neural-Symbolic Framework for Mental Simulation. - Kenneth Lai, Helder Cesar Rodigues de Oliveira, Ming Hou, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support. - Leszek Pecyna, Angelo Cangelosi, Alessandro G. Di Nuovo:
A Robot that Counts Like a Child - a Developmental Model of Counting and Pointing. - Prasanna Date, Davis Arthur, Lauren Pusey-Nazzaro:
QUBO Formulations for Training Machine Learning Models. - Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz:
Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach. - Ruizhe Huang, Ke Li, Ashish Arora, Daniel Povey, Sanjeev Khudanpur:
Efficient MDI Adaptation for n-gram Language Models. - Nihat Engin Toklu, Pawel Liskowski, Rupesh Kumar Srivastava:
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution. - Alejandro F. Queiruga, N. Benjamin Erichson, Dane Taylor, Michael W. Mahoney:
Continuous-in-Depth Neural Networks. - Chloe LeGendre, Wan-Chun Ma, Rohit Pandey, Sean Ryan Fanello, Christoph Rhemann, Jason Dourgarian, Jay Busch, Paul E. Debevec:
Learning Illumination from Diverse Portraits. - Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi:
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data. - Henrique Botelho, Francisco de Assis Zampirolli, Valério Ramos Batista:
An Evolver program for weighted Steiner trees. - Nathan D. Ratliff, Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana:
Optimization Fabrics. - Rameen Abdal, Peihao Zhu, Niloy J. Mitra, Peter Wonka:
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows. - Lynnette Hui Xian Ng, Henry Ng Siong Hock, Nguwi Yok Yen:
Cross-Model Image Annotation Platform with Active Learning. - Zeren Sun, Xian-Sheng Hua, Yazhou Yao, Xiu-Shen Wei, Guosheng Hu, Jian Zhang:
Salvage Reusable Samples from Noisy Data for Robust Learning. - Ronald Fagin, Ryan Riegel, Alexander G. Gray:
Foundations of Reasoning with Uncertainty via Real-valued Logics. - Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee:
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. - Xiaobin Xiong, Aaron D. Ames:
Sequential Motion Planning for Bipedal Somersault via Flywheel SLIP and Momentum Transmission with Task Space Control. - Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu:
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering. - Xiaobin Xiong, Aaron D. Ames:
Dynamic and Versatile Humanoid Walking via Embedding 3D Actuated SLIP Model with Hybrid LIP Based Stepping. - Ying Liu, Wenhong Cai, Xiaohui Yuan, Jinhai Xiang:
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation. - Chuanyi Zhang, Yazhou Yao, Xiangbo Shu, Zechao Li, Zhenmin Tang, Qi Wu:
Data-driven Meta-set Based Fine-Grained Visual Classification. - Junwen Chen, Wentao Bao, Yu Kong:
Group Activity Prediction with Sequential Relational Anticipation Model. - Siddhant Garg, Yingyu Liang:
Functional Regularization for Representation Learning: A Unified Theoretical Perspective. - Xiaoye Qu, Pengwei Tang, Zhikang Zhou, Yu Cheng, Jianfeng Dong, Pan Zhou:
Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos. - Mingyang Li, Louis Hickman, Louis Tay, Lyle H. Ungar, Sharath Chandra Guntuku:
Studying Politeness across Cultures Using English Twitter and Mandarin Weibo. - April Pyone Maung Maung, Hitoshi Kiya:
Training DNN Model with Secret Key for Model Protection. - Dimitrios Dimitriadis, Ken'ichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez:
Federated Transfer Learning with Dynamic Gradient Aggregation. - Yash Bhalgat, Yizhe Zhang, Jamie Menjay Lin, Fatih Porikli:
Structured Convolutions for Efficient Neural Network Design. - Hao Guo, Zhenchang Xing, Xiaohong Li:
Predicting Missing Information of Key Aspects in Vulnerability Reports. - Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
Graph Convolutional Networks for Hyperspectral Image Classification. - Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal:
DeText: A Deep Text Ranking Framework with BERT. - Zihang Jiang, Bingyi Kang, Kuangqi Zhou, Jiashi Feng:
Few-shot Classification via Adaptive Attention. - Lior Lukov, Sanjay Chawla, Wei Liu, Brett Church, Gaurav Pandey:
Unravelling the Architecture of Membrane Proteins with Conditional Random Fields. - Laurent Fribourg, Matthias Heizmann:
Proceedings 8th International Workshop on Verification and Program Transformation and 7th Workshop on Horn Clauses for Verification and Synthesis, VPT/HCVS@ETAPS 2020, Dublin, Ireland, 25-26th April 2020. EPTCS 320, 2020 [contents] - Hao Huang, Yao Lu, Xinjun Mao:
Gathering GitHub OSS Requirements from Q&A Community: an Empirical Study. - Meng-Jiun Chiou, Zhenguang Liu, Yifang Yin, Anan Liu, Roger Zimmermann:
Zero-Shot Multi-View Indoor Localization via Graph Location Networks. - Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
ConvBERT: Improving BERT with Span-based Dynamic Convolution. - Wojciech Michal Matkowski, Adams Wai-Kin Kong:
Gender and Ethnicity Classification based on Palmprint and Palmar Hand Images from Uncontrolled Environment. - Muhammad Javed, Yuqing Lin:
iMER: Iterative Process of Entity Relationship and Business Proces Models Extraction from the Requirements. - Fran Casino, Nikolaos Lykousas, Ivan Homoliak, Constantinos Patsakis, Julio C. Hernandez-Castro:
Intercepting Hail Hydra: Real-Time Detection of Algorithmically Generated Domains. - Tuanir França Rezende, Pierre Sutra:
Leaderless State-Machine Replication: Specification, Properties, Limits (Extended Version). - Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong:
Object-based Illumination Estimation with Rendering-aware Neural Networks. - Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification. - Lei He, Nabil Aouf, James F. Whidborne, Bifeng Song:
Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data. - Sayantan Guha, Adel Alshamrani:
Attaining High Bandwidth In Cloud Computing Through SDN-enabled Multi-tree Multicast. - Rachid Guerraoui, Alex Kogan, Virendra J. Marathe, Igor Zablotchi:
Efficient Multi-word Compare and Swap. - Marco Schreyer, Timur Sattarov, Anita Gierbl, Bernd Reimer, Damian Borth:
Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks. - Li Tao, Xueting Wang, Toshihiko Yamasaki:
Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework. - Ricky Lamberty, Danny de Waard, Alexander Poddey:
Leading Digital Socio-Economy to Efficiency - A Primer on Tokenomics. - Hakan Girgin, Emmanuel Pignat, Noémie Jaquier, Sylvain Calinon:
Active Improvement of Control Policies with Bayesian Gaussian Mixture Model. - Leevi Raivio, Han He, Johanna Virkki, Heikki Huttunen:
Handwritten Character Recognition from Wearable Passive RFID. - Bo Huang, Ye Bi, Zhenyu Wu, Jianming Wang, Jing Xiao:
UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks. - Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
On the Semantics of Abstract Argumentation Frameworks: A Logic Programming Approach. - Shaoe Lin, Beixiong Zheng, George C. Alexandropoulos, Miaowen Wen, Marco Di Renzo, Fangjiong Chen:
Reconfigurable Intelligent Surfaces with Reflection Pattern Modulation: Beamforming Design and Performance Analysis. - Nandan Kumar Jha, Sparsh Mittal:
Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into Cognizance. - Konstantin B. Bulatov, Nadezhda Fedotova, Vladimir V. Arlazarov:
Fast Approximate Modelling of the Next Combination Result for Stopping the Text Recognition in a Video. - Ajoy Mondal, Peter Lipps, C. V. Jawahar:
IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents. - Kathrin Blagec, Georg Dorffner, Milad Moradi, Matthias Samwald:
A critical analysis of metrics used for measuring progress in artificial intelligence. - Andrey Krekhov, Daniel Preuß, Sebastian Cmentowski, Jens H. Krüger:
Silhouette Games: An Interactive One-Way Mirror Approach to Watching Players in VR. - Shilpa Mayannavar, Uday Wali:
Design of Reconfigurable Multi-Operand Adder for Massively Parallel Processing. - Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung:
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models. - Théo Morales, Andriy Sarabakha, Erdal Kayacan:
Image Generation for Efficient Neural Network Training in Autonomous Drone Racing. - Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto:
Newcomer Candidate: Characterizing Contributions of a Novice Developer to GitHub. - Ron Dorfman, Aviv Tamar:
Offline Meta Reinforcement Learning. - Jun Liu, Weitao Xu, Sanjay K. Jha, Wen Hu:
Nephalai: Towards LPWAN C-RAN with Physical Layer Compression. - Jihong Park, Sumudu Samarakoon, Anis Elgabli, Joongheon Kim, Mehdi Bennis, Seong-Lyun Kim, Mérouane Debbah:
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications. - Huafei Zhu:
On the relationship between (secure) multi-party computation and (secure) federated learning. - Dennis Mronga, Frank Kirchner:
Learning Context-Adaptive Task Constraints for Robotic Manipulation. - Daniil V. Tropin, Sergey A. Ilyuhin, Dmitry P. Nikolaev, Vladimir V. Arlazarov:
Approach for document detection by contours and contrasts. - Jan Blumenkamp, Amanda Prorok:
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning. - Wouter J. A. van Heeswijk:
A Gentle Lecture Note on Filtrations in Reinforcement Learning. - Francesco Verdoja, Ville Kyrki:
Notes on the Behavior of MC Dropout. - Patrick S. H. Lewis, Pontus Stenetorp, Sebastian Riedel:
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. - Louis Abraham, Gary Bécigneul, Benjamin Coleman, Bernhard Schölkopf, Anshumali Shrivastava, Alexander J. Smola:
Bloom Origami Assays: Practical Group Testing. - Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. - Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora:
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard. - Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang:
Graph Wasserstein Correlation Analysis for Movie Retrieval. - William G. La Cava, Matthew A. Lackner:
Theory Manual for the Tuned Mass Damper Module in FAST v8. - Peter Mooney, Asher Yair Grinberger, Marco Minghini, Serena Coetzee, Levente Juhász, Godwin Yeboah:
OpenStreetMap data use cases during the early months of the COVID-19 pandemic. - Vikas Kumar, Shivansh Rao, Li Yu:
Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition. - Amir Shirian, Subarna Tripathi, Tanaya Guha:
Learnable Graph Inception Network for Emotion Recognition. - Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir:
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation. - Federico Olimpieri, Lionel Vaux Auclair:
On the Taylor expansion of λ-terms and the groupoid structure of their rigid approximants. - Evgeny Avdotin, Dmitry Bankov, Evgeny M. Khorov, Andrey I. Lyakhov:
Enabling Massive Real-Time Applications in IEEE 802.11be Networks. - Aritra Banerjee:
Machine Learning for Health: Personalized Models for Forecasting of Alzheimer Disease Progression. - Mohammad G. Khoshkholgh, Halim Yanikomeroglu:
Learning Power Control from a Fixed Batch of Data. - Heidi Howard, Aleksey Charapko, Richard Mortier:
Fast Flexible Paxos: Relaxing Quorum Intersection for Fast Paxos. - Alex A. Gorodetsky, John D. Jakeman, Gianluca Geraci:
MFNets: Learning network representations for multifidelity surrogate modeling. - Yang Li, Haidong Yi, Christopher M. Bender, Siyuan Shan, Junier B. Oliva:
Exchangeable Neural ODE for Set Modeling. - Huale Li, Xuan Wang, Shuhan Qi, Jiajia Zhang, Yang Liu, Fengwei Jia:
Solving imperfect-information games via exponential counterfactual regret minimization. - Lukasz Lapczyk, David B. Skillicorn:
Activity Detection from Encrypted Remote Desktop Protocol Traffic. - Bereket Abera Yilma, Najib Aghenda, Marcelo Romero, Yannick Naudet, Hervé Panetto:
Personalised Visual Art Recommendation by Learning Latent Semantic Representations. - Keith Anshilo Diaz, Damian Dailisan, Umang Sharaf, Carissa Santos, Qijian Gan, Francis Aldrine Uy, May T. Lim, Alexandre M. Bayen:
Adaptive Coordination Offsets for Signalized Arterial Intersections using Deep Reinforcement Learning. - Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang:
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. - Jordan Holland, Paul Schmitt, Nick Feamster, Prateek Mittal:
nPrint: A Standard Data Representation for Network Traffic Analysis. - Dmitry Bankov, Evgeny M. Khorov, Andrey I. Lyakhov, Ekaterina Stepanova:
Clock Drift Impact on Target Wake Time in IEEE 802.11ax/ah Networks. - Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. - Dmitry Bankov, Evgeny M. Khorov, Andrey I. Lyakhov, Mark Sandal:
Enabling Low Latency Communications in Wi-Fi Networks. - Joseph N. Stember, Hrithwik Shalu:
Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images. - Konstantin Avrachenkov, Patrick Brown, Nelly Litvak:
Red Light Green Light Method for Solving Large Markov Chains. - Dezhao Luo, Bo Fang, Yu Zhou, Yucan Zhou, Dayan Wu, Weiping Wang:
Exploring Relations in Untrimmed Videos for Self-Supervised Learning. - Palina Tolmach, Yi Li, Shang-Wei Lin, Yang Liu, Zengxiang Li:
A Survey of Smart Contract Formal Specification and Verification. - Yuan Yao, Xutao Li, Yu Zhang, Yunming Ye:
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network. - Frank Uhlig:
Zeroing Neural Networks, an Introduction to, a Survey of, and Predictive Computations for Time-varying Matrix Problems. - Ayush Khaneja, Siddharth Srivastava, Astha Rai, Amarjeet Singh Cheema, Praveen K. Srivastava:
Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks. - Christopher J. Tralie, Elizabeth Dempsey:
Exact, Parallelizable Dynamic Time Warping Alignment with Linear Memory. - Kenneth Skiba, Matthias Thimm:
Towards Ranking-based Semantics for Abstract Argumentation using Conditional Logic Semantics. - Dhrubasish Sarkar:
Recommending Influenceable Targets based on Influence Propagation through Activity Behaviors in Online Social Media. - Frank Dellaert, David M. Rosen, Jing Wu, Robert E. Mahony, Luca Carlone:
Shonan Rotation Averaging: Global Optimality by Surfing SO(p)n. - Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. - (Withdrawn) Towards Accurate Pixel-wise Object Tracking by Attention Retrieval.
- Roberta Costabile, Gelsomina Catalano, Bernardo Cuteri, Maria Concetta Morelli, Nicola Leone, Marco Manna:
A logic-based decision support system for the diagnosis of headache disorders according to the ICHD-3 international classification. - Abhijit Mazumdar, Srinivasan Krishnaswamy, Somanath Majhi:
On Passivity, Feedback Passivity, And Feedback Passivity Over Erasure Network: A Piecewise Affine Approximation Approach. - Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo:
The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval. - Chavoosh Ghasemi, Hamed Yousefi, Beichuan Zhang:
Internet-Scale Video Streaming over NDN. - Bhaskar Ray Chaudhury, Jugal Garg, Peter McGlaughlin, Ruta Mehta:
Competitive Allocation of a Mixed Manna. - Xavier Ferrer Aran, Tom van Nuenen, Jose M. Such, Natalia Criado:
Discovering and Categorising Language Biases in Reddit. - Robert Solli, Daniel Bazin, Michelle P. Kuchera, Ryan R. Strauss, Morten Hjorth-Jensen:
Unsupervised Learning for Identifying Events in Active Target Experiments. - Sadegh Rabiee, Joydeep Biswas:
IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping. - Cong Wang, Yutong Wu, Zhixun Su, Junyang Chen:
Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network. - Nishanth Thumbavanam Arun, Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen, Katharina Hoebel, Sharut Gupta, Jay B. Patel, Mishka Gidwani, Julius Adebayo, Matthew D. Li, Jayashree Kalpathy-Cramer:
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. - Philipp Schepper:
Fine-Grained Complexity of Regular Expression Pattern Matching and Membership. - Elizaveta Kharlova, Daniel C. May, Petr Musílek:
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention. - Suryanarayana Murthy Durbhakula:
Near Linear OS Scheduling Optimization for Memory Intensive Workloads on Multi-socket Multi-core servers. - Bernhard Liebl, Manuel Burghardt:
On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation. - Omar Delarosa, Hang Dong, Mindy Ruan, Ahmed Khalifa, Julian Togelius:
Mixed-Initiative Level Design with RL Brush. - Shay Kutten, William K. Moses Jr., Gopal Pandurangan, David Peleg:
Singularly Optimal Randomized Leader Election. - Nicholas Kluge Corrêa, Nythamar de Oliveira:
Modelos dinâmicos aplicados à aprendizagem de valores em inteligência artificial. - Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O'Toole:
Efficient Non-Line-of-Sight Imaging from Transient Sinograms. - Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn:
Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning. - Yu Wang, Justin Salamon, Mark Cartwright, Nicholas J. Bryan, Juan Pablo Bello:
Few-Shot Drum Transcription in Polyphonic Music. - Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas:
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. - Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya:
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications. - Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely:
Learning to Factorize and Relight a City. - Shriya T. P. Gupta, Sanjay K. Sahay:
A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery. - Adrian García-Rodríguez, David López-Pérez, Lorenzo Galati-Giordano, Giovanni Geraci:
IEEE 802.11be: Wi-Fi 7 Strikes Back. - Stéphane Vujasinovic, Stefan Becker, Timo Breuer, Norbert Scherer-Negenborn, Michael Arens:
Integration of 3D Knowledge for On-Board UAV Visual Tracking. - Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning. - Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb:
Learned convex regularizers for inverse problems. - Siddharth Reddy, Sergey Levine, Anca D. Dragan:
Assisted Perception: Optimizing Observations to Communicate State. - Bryce Doerr, Richard Linares:
Motion Planning and Control for On-Orbit Assembly using LQR-RRT* and Nonlinear MPC. - Rahul Kumar Gupta, Fabrizio Sossan, Mario Paolone:
Grid-aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network: Theory and Experimental Validation. - Dilson Lucas Pereira, Júlio César Alves, Mayron César de Oliveira Moreira:
A Multiperiod Workforce Scheduling and Routing Problem with Dependent Tasks. - T. Bensky:
A no-phone/no-app contact tracing hardware token. - Linh Anh Nguyen, Quang-Thuy Ha, Ngoc Thanh Nguyen, Thi Hong Khanh Nguyen, Thanh-Luong Tran:
Bisimulation and bisimilarity for fuzzy description logics under the Gödel semantics. - Joseph P. McKenna, Samridhi Choudhary, Michael Saxon, Grant P. Strimel, Athanasios Mouchtaris:
Semantic Complexity in End-to-End Spoken Language Understanding. - Shane A. McQuarrie, Cheng Huang, Karen Willcox:
Data-driven reduced-order models via regularized operator inference for a single-injector combustion process. - Loic Cappanera, Gabriela Jaramillo, Cory Ward:
Numerical Methods for a Diffusive Class Nonlocal Operators. - Edward Verenich, Alvaro Velasquez, Nazar Khan, Faraz Hussain:
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia. - Yongwei Zhang, Chupeng Ma, Liqun Cao, Dongyang Shi:
Efficient multiscale algorithms for simulating nonlocal optical response of metallic nanostructure arrays. - Yi Lou, Julian Cheng, DongHu Nie, Gang Qiao:
Performance of Underwater Wireless Optical Communications in Presents of Cascaded Mixture Exponential-Generalized Gamma Turbulence. - Munif Ishad Mujib, Hunter Scott Heidenreich, Colin J. Murphy, Giovanni C. Santia, Asta Zelenkauskaite, Jake Ryland Williams:
NewsTweet: A Dataset of Social Media Embedding in Online Journalism. - Yang Bai, Yu Guan, Wan-Fai Ng:
Fatigue Assessment using ECG and Actigraphy Sensors. - Adithya Venkatadri Hulagadri:
Quality Classification of Defective Parts from Injection Moulding. - Hunter Scott Heidenreich, Munif Ishad Mujib, Jake Ryland Williams:
Investigating Coordinated 'Social' Targeting of High-Profile Twitter Accounts. - Alexandre Bérard, Zae Myung Kim, Vassilina Nikoulina, Eunjeong L. Park, Matthias Gallé:
A Multilingual Neural Machine Translation Model for Biomedical Data. - Sida Wang, Weiwei Guo, Huiji Gao, Bo Long:
Efficient Neural Query Auto Completion. - Yannick Le Cacheux, Adrian Popescu, Hervé Le Borgne:
Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning. - Jana Pavlasek, Stanley R. Lewis, Karthik Desingh, Odest Chadwicke Jenkins:
Parts-Based Articulated Object Localization in Clutter Using Belief Propagation. - Kaiwen Wu, Allen Houze Wang, Yaoliang Yu:
Stronger and Faster Wasserstein Adversarial Attacks. - Yevgen Matusevych, Thomas Schatz, Herman Kamper, Naomi H. Feldman, Sharon Goldwater:
Evaluating computational models of infant phonetic learning across languages. - Madison Beary, Alex Hadsell, Ryan Messersmith, Mohammad-Parsa Hosseini:
Diagnosis of Autism in Children using Facial Analysis and Deep Learning. - Sebastian Grimberg, Charbel Farhat, Radek Tezaur, Charbel Bou-Mosleh:
Mesh sampling and weighting for the hyperreduction of nonlinear Petrov-Galerkin reduced-order models with local reduced-order bases. - Abhinav Mehrotra, Lukasz Dudziak, Jinsu Yeo, Young-Yoon Lee, Ravichander Vipperla, Mohamed S. Abdelfattah, Sourav Bhattacharya, Samin Ishtiaq, Alberto Gil C. P. Ramos, SangJeong Lee, Daehyun Kim, Nicholas D. Lane:
Iterative Compression of End-to-End ASR Model using AutoML. - Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii:
Predicting Visual Importance Across Graphic Design Types. - Bart Iver van Blokland, Theoharis Theoharis:
An Indexing Scheme and Descriptor for 3D Object Retrieval Based on Local Shape Querying. - Xubin Zhong, Changxing Ding, Xian Qu, Dacheng Tao:
Polysemy Deciphering Network for Robust Human-Object Interaction Detection. - Momin M. Malik, Afsaneh Doryab, Michael Merrill, Jürgen Pfeffer, Anind K. Dey:
Can Smartphone Co-locations Detect Friendship? It Depends How You Model It. - Heng-Zhao Ma, Jianzhong Li:
A Sub-linear Time Algorithm for Approximating k-Nearest-Neighbor with Full Quality Guarantee. - Alberto Pettorossi:
A Historical Account of My Early Research Interests. 1-28 - Huan Gao, Zhaojian Li, Yongqiang Wang:
Privacy-Preserved Collaborative Estimation for Networked Vehicles with Application to Road Anomaly Detection. - Alain Finkel:
From Well Structured Transition Systems to Program Verification. 44-49 - Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao:
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. - John P. Gallagher, Manuel V. Hermenegildo, Bishoksan Kafle, Maximiliano Klemen, Pedro López-García, José F. Morales:
From Big-Step to Small-Step Semantics and Back with Interpreter Specialisation. 50-64 - Neil D. Jones, Siddharth Bhaskar, Cynthia Kop, Jakob Grue Simonsen:
Cons-free Programs and Complexity Classes between LOGSPACE and PTIME. 65-79 - Michael Leuschel:
Prolog for Verification, Analysis and Transformation Tools. 80-94 - Emanuele De Angelis, Fabio Fioravanti, Maurizio Proietti:
Transformational Verification of Quicksort. 95-109 - Horatiu Cirstea, Alexis Grall, Dominique Méry:
Generating Distributed Programs from Event-B Models. 110-124 - Geoff W. Hamilton:
Distilling Programs to Prove Termination. 140-154 - John P. Gallagher, Robert Glück:
An Experiment Combining Specialization with Abstract Interpretation. 155-158 - Zhenyu Wu, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin:
A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset. - Philipp Rümmer:
Competition Report: CHC-COMP-20. 197-219 - Zejian Zhou, Hao Xu:
Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment. - Haoye Tian, Kui Liu, Abdoul Kader Kaboré, Anil Koyuncu, Li Li, Jacques Klein, Tegawendé F. Bissyandé:
Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair. - Reetam Sen Biswas, Anamitra Pal, Trevor Werho, Vijay Vittal:
Fast Identification of Saturated Cut-sets using Graph Search Techniques. - Sohini Roychowdhury:
Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images. - Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. - Wenjun Qiu, David Lie:
Deep Active Learning with Crowdsourcing Data for Privacy Policy Classification. - Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping Neural Processes. - Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity. - Tian Lan, Xian-Ling Mao, Wei Wei, Heyan Huang:
Which Kind Is Better in Open-domain Multi-turn Dialog, Hierarchical or Non-hierarchical Models? An Empirical Study. - Ziquan Liu, Yufei Cui, Antoni B. Chan:
Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations. - Chenglizhao Chen, Jia Song, Chong Peng, Guodong Wang, Yuming Fang:
A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception. - Chenglizhao Chen, Guotao Wang, Chong Peng, Dingwen Zhang, Yuming Fang, Hong Qin:
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection. - Wentao Ouyang, Xiuwu Zhang, Lei Zhao, Jinmei Luo, Yu Zhang, Heng Zou, Zhaojie Liu, Yanlong Du:
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction. - Jared Lichtarge, Chris Alberti, Shankar Kumar:
Data Weighted Training Strategies for Grammatical Error Correction. - Alireza Poostindouz, Reihaneh Safavi-Naini:
A Channel Model of Transceivers for Multiterminal Secret Key Agreement. - Iffat Anjum, Mu Zhu, Isaac Polinsky, William Enck, Michael K. Reiter, Munindar P. Singh:
Role-Based Deception in Enterprise Networks. - Ajoy Mondal, C. V. Jawahar:
Textual Description for Mathematical Equations. - Zhiyuan Zhang, Binh-Son Hua, Wei Chen, Yibin Tian, Sai-Kit Yeung:
Global Context Aware Convolutions for 3D Point Cloud Understanding. - Abdulrahman Alhazmi, Nalin Asanka Gamagedara Arachchilage:
Why are Developers Struggling to Put GDPR into Practice when Developing Privacy-Preserving Software Systems? - Tao Yu, Shunqing Zhang, Xiaojing Chen, Shugong Xu:
An Analytical Framework for Delay Optimal Mobile Edge Deployment in Wireless Networks. - Zhongang Cai, Cunjun Yu, Junzhe Zhang, Jiawei Ren, Haiyu Zhao:
Leveraging Localization for Multi-camera Association. - Han-Ting Ye, Xin Kang, Jingon Joung, Ying-Chang Liang:
Joint Uplink-and-Downlink Optimization of 3D UAV Swarm Deployment for Wireless-Powered NB-IoT Networks. - Philipp V. Rouast, Marc T. P. Adam:
Single-stage intake gesture detection using CTC loss and extended prefix beam search. - Alessandro Burigana, Francesco Fabiano, Agostino Dovier, Enrico Pontelli:
Modelling Multi-Agent Epistemic Planning in ASP. - Behnoosh Parsa, Ashis G. Banerjee:
A Multi-Task Learning Approach for Human Action Detection and Ergonomics Risk Assessment. - Zeinab Rajabi, MohammadReza Valavi, Maryam Hourali:
A Context-based Disambiguation Model for Sentiment Concepts Using a Bag-of-concepts Approach. - Huasong Zhong, Chong Chen, Zhongming Jin, Xian-Sheng Hua:
Deep Robust Clustering by Contrastive Learning. - Bakheet Aljedaani, Aakash Ahmad, Mansooreh Zahedi, Muhammad Ali Babar:
An Empirical Study on Developing Secure Mobile Health Apps: The Developers Perspective. - Nicolas Cofre:
A boosted outlier detection method based on the spectrum of the Laplacian matrix of a graph. - Zhensu Sun, Yan Liu, Chen Yang, Yu Qian:
PSCS: A Path-based Neural Model for Semantic Code Search. - Kailai Zhou, Linsen Chen, Xun Cao:
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems. - Clement Alaton, Jesus E. Contreras-Ocaña, Philippine de Radiguès, Thomas Döring, Frédéric Tounquet:
Energy Communities: From European Law to Numerical Modeling. - Alex Serban, Erik Poll, Joost Visser:
Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty. - Esra Erdem, Muge Fidan, David F. Manlove, Patrick Prosser:
A General Framework for Stable Roommates Problems using Answer Set Programming. - Xuliang Zhu, Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu:
Ontology-based Graph Visualization for Summarized View. - Svein Høgemo, Christophe Paul, Jan Arne Telle:
Hierarchical Clusterings of Unweighted Graphs. - Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang:
A Surgery of the Neural Architecture Evaluators. - Babar Shahzaad, Athman Bouguettaya, Sajib Mistry:
A Game-Theoretic Drone-as-a-Service Composition for Delivery. - Thomas Uriot, Dario Izzo, Luís F. Simões, Rasit Abay, Nils Einecke, Sven Rebhan, José A. Martinez-Heras, Francesca Letizia, Jan Siminski, Klaus Merz:
Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition. - Masoumeh Zareapoor, Pourya Shamsolmoali, Jie Yang:
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis. - Philip Sperl, Konstantin Böttinger:
Optimizing Information Loss Towards Robust Neural Networks. - Ehsan Mohammadpour, Jean-Yves Le Boudec:
On Packet Reordering in Time-Sensitive Networks. - Haiping Zhu, Yuheng Zhang, Hongming Shan, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang:
Deep Ordinal Regression Forests. - Jing Gu, Qingyang Wu, Zhou Yu:
Perception Score, A Learned Metric for Open-ended Text Generation Evaluation. - Aritra Banerjee:
SimPatch: A Nearest Neighbor Similarity Match between Image Patches. - Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu:
Cascade Graph Neural Networks for RGB-D Salient Object Detection. - Mohsen Ghaffari, Bernhard Haeupler:
Low-Congestion Shortcuts for Graphs Excluding Dense Minors. - Gökhan Göktürk, Kamer Kaya:
Boosting Parallel Influence-Maximization Kernels for Undirected Networks with Fusing and Vectorization. - Richard Taupe, Antonius Weinzierl, Gerhard Friedrich:
Conflict Generalisation in ASP: Learning Correct and Effective Non-Ground Constraints. - David Ifeoluwa Adelani, Ali Davody, Thomas Kleinbauer, Dietrich Klakow:
Privacy Guarantees for De-identifying Text Transformations. - Giulio Guerrieri, Luc Pellissier, Lorenzo Tortora de Falco:
Gluing resource proof-structures: inhabitation and inverting the Taylor expansion. - Qian Lou, Sarath Chandra Janga, Lei Jiang:
Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling. - Elmehdi Illi, Faissal El Bouanani, Fouad Ayoub:
On the Distribution of the Sum of Málaga-M Random Variables and Applications. - Matthias Stierle, Sven Weinzierl, Maximilian Harl, Martin Matzner:
A Technique for Determining Relevance Scores of Process Activities using Graph-based Neural Networks. - Youngeun Kim, Sungeun Hong, Seunghan Yang, Sungil Kang, Yunho Jeon, Jiwon Kim:
Associative Partial Domain Adaptation. - Jamie Tucker-Foltz:
Approximating Constraint Satisfaction Problems Symmetrically. - Ilia Luchnikov, David Métivier, Henni Ouerdane, Michael Chertkov:
Super-relaxation of space-time-quantized ensemble of energy loads. - Fabio S. Priuli, Claudia Violante:
Sulla decifratura di Enigma - Come un reverendo del XVIII secolo contribuì alla sconfitta degli U-boot tedeschi durante la Seconda Guerra Mondiale. - Md Obaidul Hossen, Yang Zhang, Hesam Fathi Moghadam, Yue Zhang, Michael Dayringer, Muhannad S. Bakir:
Design Space Exploration of Power Delivery For Advanced Packaging Technologies. - Yixiong Zou, Shanghang Zhang, José M. F. Moura, Jianpeng Yu, Yonghong Tian:
Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition. - Alexander Subbotin, Samin Aref:
Brain Drain and Brain Gain in Russia: Analyzing International Migration of Researchers by Discipline using Scopus Bibliometric Data 1996-2020. - Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Convolutional Complex Knowledge Graph Embeddings. - Raphael Yuster:
A 2O(k)n algorithm for k-cycle in minor-closed graph families. - Alexandre Benatti, Henrique Ferraz de Arruda, Filipi Nascimento Silva, Luciano da Fontoura Costa:
Transistors: A Network Science-Based Historical Perspective. - Simon Pfingstl, Dominik Steinweg, Markus Zimmermann, Mirko Hornung:
On the Potential of Extending Aircraft Service Time Using a Fatigue Damage Index. - Dmitry Bankov, Evgeny M. Khorov, Andrey I. Lyakhov:
Mathematical model of LoRaWAN channel access with capture effect. - Nikolaos Halidias, Ioannis S. Stamatiou:
A note on the asymptotic stability of the Semi-Discrete method for Stochastic Differential Equations. - Ho Law, Lok Ming Lui, Chun Yin Siu:
Decomposition of Longitudinal Deformations via Beltrami Descriptors. - Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta:
Better Fine-Tuning by Reducing Representational Collapse. - Jens Kaiser, Dominik Schlechtweg, Sean Papay, Sabine Schulte im Walde:
IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection. - Mena Leemhuis, Özgür L. Özçep, Diedrich Wolter:
Orthologics for Cones. - Audrey Labrie, Jinghui Cheng:
Adapting Nielsen's Usability Heuristics to the Context of Mobile Augmented Reality. - Kaixiang Zhang, Zhaojian Li, Yongqiang Wang, Ali Louati, Jian Chen:
Privacy-Preserving Dynamic Average Consensus via State Decomposition: Case Study on Multi-Robot Formation Control. - Hong-lin Liao, Xuehua Song, Tao Tang, Tao Zhou:
Analysis of the second order BDF scheme with variable steps for the molecular beam epitaxial model without slope selection. - Guotong Ren, Rami M. Younis:
An integrated numerical model for coupled poro-hydro-mechanics and fracture propagation using embedded meshes. - Ailbhe Gill, Emin Zerman, Cagri Ozcinar, Aljosa Smolic:
A Study on Visual Perception of Light Field Content. - Dejan Kostyszyn, Tobias Fechter, Nico Bartl, Anca L. Grosu, Christian Gratzke, August Sigle, Michael Mix, Juri Ruf, Thomas F. Fassbender, Selina Kiefer, Alisa S. Bettermann, Nils H. Nicolay, Simon Spohn, Maria U. Kramer, Peter Bronsert, Hongqian Guo, Xuefeng Qiu, Feng Wang, Christoph Henkenberens, Rudolf A. Werner, Dimos Baltas, Philipp T. Meyer, Thorsten Derlin, Mengxia Chen, Constantinos Zamboglou:
Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer. - Oscar Alvarado, Hendrik Heuer, Vero Vanden Abeele, Andreas Breiter, Katrien Verbert:
Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube. - Sina Däubener, Asja Fischer:
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification. - Abhishek Ninad Kulkarni, Jie Fu:
A Theory of Hypergames on Graphs for Synthesizing Dynamic Cyber Defense with Deception. - Carmine Dodaro, Thomas Eiter, Paul Ogris, Konstantin Schekotihin:
Managing caching strategies for stream reasoning with reinforcement learning. - Charles E. Oestreich, Richard Linares, Ravi Gondhalekar:
Autonomous Six-Degree-of-Freedom Spacecraft Docking Maneuvers via Reinforcement Learning. - Tim W. Reid, Ilse C. F. Ipsen, Jon Cockayne, Chris J. Oates:
A Probabilistic Numerical Extension of the Conjugate Gradient Method. - Mingxuan Li, Michael L. Littman:
Towards Sample Efficient Agents through Algorithmic Alignment. - Shohreh Deldari, Daniel V. Smith, Amin Sadri, Flora D. Salim:
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data. - Tim Martin, Frank Allgöwer:
Dissipativity verification with guarantees for polynomial systems from noisy input-state data. - Fouzi Harrag, Abdullah Al-Nasser, Abdullah Al-Musnad, Rayan Al-Shaya:
Quran Intelligent Ontology Construction Approach Using Association Rules Mining. - Abdulmalik Alwarafy, Khaled A. Al-Thelaya, Mohamed M. Abdallah, Jens Schneider, Mounir Hamdi:
A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet of Things. - Kyle MacMillan, Jordan Holland, Prateek Mittal:
Evaluating Snowflake as an Indistinguishable Censorship Circumvention Tool. - Nicholas Meisburger, Anshumali Shrivastava:
Distributed Tera-Scale Similarity Search with MPI: Provably Efficient Similarity Search over billions without a Single Distance Computation. - Anmol Panda, Divya Siddarth, Joyojeet Pal:
COVID, BLM, and the polarization of US politicians on Twitter. - Xiang Wang, Changxin Gao, Shiwei Zhang, Nong Sang:
Multi-Level Temporal Pyramid Network for Action Detection. - Kyriakos Polymenakos, Nikitas Rontsis, Alessandro Abate, Stephen J. Roberts:
SafePILCO: a software tool for safe and data-efficient policy synthesis. - Amirreza Shirani, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria, Thamar Solorio:
SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media. - Peeyush Singh, Pravir Dutt:
Total Variation Diminishing (TVD) method for Elastohydrodynamic Lubrication (EHL) problem on Parallel Computers. - Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Learning a natural-language to LTL executable semantic parser for grounded robotics. - Robert Tovey, Duncan N. Johnstone, Sean M. Collins, William R. B. Lionheart, Paul A. Midgley, Martin Benning, Carola-Bibiane Schönlieb:
Scanning electron diffraction tomography of strain. - Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim:
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning. - Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, Yi Ma:
HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures. - Ayush Jain, Ujjwal Guin:
A Novel Tampering Attack on AES Cores with Hardware Trojans. - MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami:
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection. - Ivan Gordeev:
FitsGeo - Python package for PHITS geometry development and visualization. - Farhad Shakerin, Gopal Gupta:
White-box Induction From SVM Models: Explainable AI with Logic Programming. - Anitha Kannan, Richard Chen, Vignesh Venkataraman, Geoffrey J. Tso, Xavier Amatriain:
COVID-19 in differential diagnosis of online symptom assessments. - Zichao Zhang, Davide Scaramuzza:
Fisher Information Field: an Efficient and Differentiable Map for Perception-aware Planning. - Brian Brubach, Nathaniel Grammel, David G. Harris, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Approximation Algorithms for Radius-Based, Two-Stage Stochastic Clustering Problems with Budget Constraints. - Sylvia C. Boyd, Joseph Cheriyan, Robert Cummings, Logan Grout, Sharat Ibrahimpur, Zoltán Szigeti, Lu Wang:
A 4/3-Approximation Algorithm for the Minimum 2-Edge Connected Multisubgraph Problem in the Half-Integral Case. - Karolos-Alexandros Tsakalos, Georgios Ch. Sirakoulis, Andrew Adamatzky, Jim Smith:
Protein Structured Reservoir computing for Spike-based Pattern Recognition. - Seyed Sajjad Fazeli, Saravanan Venkatachalam, Jonathon M. Smereka:
Efficient algorithms for autonomous electric vehicles' min-max routing problem. - Jean-Gabriel Young, George T. Cantwell, M. E. J. Newman:
Robust Bayesian inference of network structure from unreliable data. - Xiruo Ding, Trevor Cohen:
Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection. - Pedro Miguel Sánchez Sánchez, José María Jorquera Valero, Alberto Huertas Celdrán, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez:
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets. - Pepijn B. Cox, Roland Tóth:
Linear Parameter-Varying Subspace Identification: A Unified Framework. - Thomas Truong, Jonathan Graf, Svetlana N. Yanushkevich:
Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data. - Jiachen Zhong, Xuanqing Liu, Cho-Jui Hsieh:
Improving the Speed and Quality of GAN by Adversarial Training. - Weilin Li:
Generalization error of minimum weighted norm and kernel interpolation. - Hamid Usefi:
Clustering, multicollinearity, and singular vectors. - Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. - Viktor V. Nikitin, Vincent De Andrade, Azat Slyamov, Benjamin J. Gould, Yuepeng Zhang, Vandana Sampathkumar, Narayanan Kasthuri, Doga Gürsoy, Francesco De Carlo:
Distributed optimization for nonrigid nano-tomography. - Kyeongho Lee, Jinho Jeong, Sungsoo Cheon, Woong Choi, Jongsun Park:
Bit Parallel 6T SRAM In-memory Computing with Reconfigurable Bit-Precision. - Zakariya Ghalmane, Chantal Cherifi, Hocine Cherifi, Mohammed El Hassouni:
Extracting Backbones in Weighted Modular Complex Networks. - Henrik Eisenmann, Yuji Nakatsukasa:
Solving two-parameter eigenvalue problems using an alternating method. - Phillip Lippe, Pengjie Ren, Hinda Haned, Bart Voorn, Maarten de Rijke:
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing. - Chaitanya K. Rudrabhatla:
Security Design Patterns in Distributed Microservice Architecture. - Lana Yeganova, Rezarta Islamaj Dogan, Qingyu Chen, Robert Leaman, Alexis Allot, Chih-Hsuan Wei, Donald C. Comeau, Won Kim, Yifan Peng, W. John Wilbur, Zhiyong Lu:
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view. - Yongquan Fu:
Nyström Approximation with Nonnegative Matrix Factorization. - Yan Xia, Yusheng Xu, Cheng Wang, Uwe Stilla:
VPC-Net: Completion of 3D Vehicles from MLS Point Clouds. - Helen Jiang:
Security for People with Mental Illness in Telehealth Systems: A Proposal. - Bo Wang, Yue Wu, Niall Taylor, Terry J. Lyons, Maria Liakata, Alejo J. Nevado-Holgado, Kate E. A. Saunders:
Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews. - Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas, Shenoy Pratik Gurudatt, Wael AbdAlmageed:
Two-branch Recurrent Network for Isolating Deepfakes in Videos. - Wei Wang:
Using UNet and PSPNet to explore the reusability principle of CNN parameters. - Shubhanshu Mishra, Sijun He, Luca Belli:
Assessing Demographic Bias in Named Entity Recognition. - Xiaohui Song, Songlin Hu:
Point or Generate Dialogue State Tracker. - Xiao Xue, Zhiyong Feng, Shizhan Chen, ZhangBing Zhou, Chengzhi Qin, Bing Li, ZhongJie Wang, Bin Hu, Hongyue Wu, Shufang Wang, Lu Zhang:
Service Ecosystem: A Lens of Smart Society. - Lei Zheng, Jiesen Pan, Rui Yang, Hui Cheng, Haifeng Hu:
Learning-Based Safety-Stability-Driven Control for Safety-Critical Systems under Model Uncertainties. - Xingwen Zhang, Shuang Yang:
Learning (Re-)Starting Solutions for Vehicle Routing Problems. - Yixue Zhao, Justin Chen, Adriana Sejfia, Marcelo Schmitt Laser, Jie Zhang, Federica Sarro, Mark Harman, Nenad Medvidovic:
FrUITeR - A Framework for Evaluating UI Test Reuse. - Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng:
Meta Feature Modulator for Long-tailed Recognition. - John T. Halloran, David M. Rocke:
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification. - Yifan Xie, Rongfeng Li:
Symbolic Music Playing Techniques Generation as a Tagging Problem. - Mohammad Nur Hasan, Brian M. Kurkoski:
Opportunistic Cooperation Strategies for Multiple Access Relay Channels with Compute-and-Forward. - Adam Tutko, Austin Z. Henley, Audris Mockus:
More Effective Software Repository Mining. - Julie Steele, William Byrd:
dxo: A System for Relational Algebra and Differentiation. - Xinyi Xu, Tiancheng Huang, Pengfei Wei, Akshay Narayan, Tze-Yun Leong:
Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection. - Rémy Belmonte, Tesshu Hanaka, Masaaki Kanzaki, Masashi Kiyomi, Yasuaki Kobayashi, Yusuke Kobayashi, Michael Lampis, Hirotaka Ono, Yota Otachi:
Parameterized Complexity of (A, 𝓁)-Path Packing. - Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu:
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. - Akram Aldroubi, Shiying Li, Gustavo K. Rohde:
Partitioning signal classes using transport transforms for data analysis and machine learning. - Md Saifuddin, Mahdi Zaman, Behrad Toghi, Yaser P. Fallah, Jayanthi Rao:
Performance Analysis of Cellular-V2X with Adaptive and Selective Power Control. - Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou:
Hard Class Rectification for Domain Adaptation. - Nader Zare, Mohsen Sadeghipour, Ashkan Keshavarzi, Mahtab Sarvmaili, Amin Nikanjam, Reza Aghayari, Arad Firouzkoohi, Mohammad Abolnejad, Sina Elahimanesh, Amin Akhgari:
Cyrus 2D Simulation Team Description Paper2018. - Can Zhang, Yuexian Zou, Guang Chen, Lei Gan:
PAN: Towards Fast Action Recognition via Learning Persistence of Appearance. - Ziang Ma, Linyuan Wang, Haitao Zhang, Wei Lu, Jun Yin:
RPT: Learning Point Set Representation for Siamese Visual Tracking. - Hongkai Ye, Xin Zhou, Chao Xu, Jian Chu, Fei Gao:
TGK-Planner: An Efficient Topology Guided Kinodynamic Planner for Autonomous Quadrotors. - Sandro Baumgartner, Alpha Renner, Raphaela Kreiser, Dongchen Liang, Giacomo Indiveri, Yulia Sandamirskaya:
Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach. - Dmitry Voloskov, Dimitri Pissarenko:
Adaptive POD Galerkin technique for reservoir simulation and optimization. - Shun Zhang, Benfei Duan, Zhili Chen, Hong Zhong, Qizhi Yu:
A Differentially Private Framework in Spatial Crowdsourcing with Historical Data Learning. - Leonid B. Sokolinsky:
BSF: a parallel computation model for scalability estimation of iterative numerical algorithms on cluster computing systems. - Christoph Wernhard:
Craig Interpolation with Clausal First-Order Tableaux. - Momina Rizwan, Volkan Patoglu, Esra Erdem:
Human Robot Collaborative Assembly Planning: An Answer Set Programming Approach. - Sanaa Hamid Mohamed, Ali Hammadi, Taisir E. H. El-Gorashi, Jaafar Mohamed Hashim Elmirghani:
Optimizing Co-flows Scheduling and Routing in Data Centre Networks for Big Data Applications. - Ilona M. Kulikovskikh, Tarzan Legovic:
Why to "grow" and "harvest" deep learning models? - Zhipu Liu, Lei Zhang, Yang Yang:
Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification. - Keyang Wang, Lei Zhang:
Single-Shot Two-Pronged Detector with Rectified IoU Loss. - Zhongzhou Zhang, Lei Zhang:
Hard Negative Samples Emphasis Tracker without Anchors. - Noman Akbar, Glenn Dickins, Mark R. P. Thomas, Prasanga N. Samarasinghe, Thushara D. Abhayapala:
A Novel Method for Obtaining Diffuse Field Measurements for Microphone Calibration. - Baozhou Zhu, Zaid Al-Ars, H. Peter Hofstee:
NASB: Neural Architecture Search for Binary Convolutional Neural Networks. - Pamela Fleischmann, Lukas Haschke, Florin Manea, Dirk Nowotka, Cedric Tsatia Tsida, Judith Wiedenbeck:
Blocksequences of k-local Words. - Joshua R. Bertram, Peng Wei, Joseph Zambreno:
Scalable FastMDP for Pre-departure Airspace Reservation and Strategic De-conflict. - Lucas Yanan Tian, Kevin Ellis, Marta Kryven, Joshua B. Tenenbaum:
Learning abstract structure for drawing by efficient motor program induction. - Baozhou Zhu, Zaid Al-Ars, Wei Pan:
Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation. - Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra, Mayank Vatsa, Richa Singh:
Unravelling Small Sample Size Problems in the Deep Learning World. - Luke Lockhart, Paul Harvey, Pierre Imai, Peter Willis, Blesson Varghese:
Scission: Context-aware and Performance-driven Edge-based Distributed Deep Neural Networks. - Oleg Arenz, Gerhard Neumann:
Non-Adversarial Imitation Learning and its Connections to Adversarial Methods. - Antonius Weinzierl, Richard Taupe, Gerhard Friedrich:
Advancing Lazy-Grounding ASP Solving Techniques - Restarts, Phase Saving, Heuristics, and More. - Zhiwen Zuo, Qijiang Xu, Huiming Zhang, Zhizhong Wang, Haibo Chen, Ailin Li, Lei Zhao, Wei Xing, Dongming Lu:
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization. - Ali Hakem Alsaeedi, Adil L. Albukhnefis, Dhiah Al-Shammary, Muntasir Al-Asfoor:
Extended Particle Swarm Optimization (EPSO) for Feature Selection of High Dimensional Biomedical Data. - Hamid Rezatofighi, Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid:
How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks? - Ioannis Kansizoglou, Nicholas Santavas, Loukas Bampis, Antonios Gasteratos:
HASeparator: Hyperplane-Assisted Softmax. - Kate O'Leary, Elvira Perez Vallejos, Neil Coulson, Derek McAuley:
The perceptions of social and information privacy risks of Inflammatory Bowel Disease patients using social media platforms for health-related support. - Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh:
A Novel Community Detection Based Genetic Algorithm for Feature Selection. - Héctor García de Marina:
Maneuvering and robustness issues in undirected displacement-consensus-based formation control. - Tipawan Silwattananusarn, Pachisa Kulkanjanapiban:
Mining and Analyzing Patron's Book-Loan Data and University Data to Understand Library Use Patterns. - Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin:
Online Multi-modal Person Search in Videos. - Guilherme Lacerda, Fábio Petrillo, Marcelo Pimenta:
DR-Tools: a suite of lightweight open-source tools to measure and visualize Java source code. - Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin:
A Unified Framework for Shot Type Classification Based on Subject Centric Lens. - Italos Estilon de Souza, Alexandre Xavier Falcão:
Learning CNN filters from user-drawn image markers for coconut-tree image classification. - Robert Spence, Chukwuma Uduku, Kezhi Li, Nick Oliver, Pantelis Georgiou:
A novel hand-held interface supporting the self-management of Type 1 diabetes. - Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh:
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. - Sharbani Pandit, Jienan Liu, Roberto Perdisci, Mustaque Ahamad:
Fighting Voice Spam with a Virtual Assistant Prototype. - Sandeep Inuganti, Vineeth N. Balasubramanian:
Assisting Scene Graph Generation with Self-Supervision. - Kwangjun Ahn:
A simpler strong refutation of random k-XOR. - Cihan Öngün, Alptekin Temizel:
LPMNet: Latent Part Modification and Generation for 3D Point Clouds. - Longlong Jing, Elahe Vahdani, Jiaxing Tan, Yingli Tian:
Cross-modal Center Loss. - K. Murali Krishnan:
eXpOS: A Simple Pedagogical Operating System for Undergraduate Instruction. - Artur Gorokh, Siddhartha Banerjee, Billy Jin, Vasilis Gkatzelis:
Online Nash Social Welfare via Promised Utilities. - Aysu Bogatarkan, Esra Erdem:
Explanation Generation for Multi-Modal Multi-Agent Path Finding with Optimal Resource Utilization using Answer Set Programming. - Dimitris Ampeliotis, Kostas Berberidis:
Potential Games for Distributed Constrained Consensus. - Naorin Hossain, Caroline Trippel, Margaret Martonosi:
TransForm: Formally Specifying Transistency Models and Synthesizing Enhanced Litmus Tests. - Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Deyu Meng:
From Rain Removal to Rain Generation. - Anand Ramakrishnan, Warren B. Jackson, Kent Evans:
A novel residual whitening based training to avoid overfitting. - Ting Su, Yichen Yan, Jue Wang, Zhendong Su:
Automated Functional Fuzzing of Android Apps. - Yu Tsung Lee, William Enck, Haining Chen, Hayawardh Vijayakumar, Ninghui Li, Daimeng Wang, Zhiyun Qian, Giuseppe Petracca, Trent Jaeger:
PolyScope: Multi-Policy Access Control Analysis to Triage Android Systems. - Manuel Wüthrich, Felix Widmaier, Felix Grimminger, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Bernhard Schölkopf, Stefan Bauer:
TriFinger: An Open-Source Robot for Learning Dexterity. - Aditya Dhakal, Junguk Cho, Sameer G. Kulkarni, K. K. Ramakrishnan, Puneet Sharma:
Spatial Sharing of GPU for Autotuning DNN models. - Shuaimin Kang, Krista Gile, Pedro Mateu-Gelabert, Honoria Guarino:
Clustering Network Tree Data From Respondent-driven sampling with application to opioid users in New York City. - Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh:
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning. - Constantinou Miti, Demetriou Zatte, Siraj Sajid Gondal:
Tracking in Crowd is Challenging: Analyzing Crowd based on Physical Characteristics. - Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera:
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges. - David Rudo, Kai Zeng:
Consumer UAV Cybersecurity Vulnerability Assessment Using Fuzzing Tests. - Shichao Xu, Yixuan Wang, Yanzhi Wang, Zheng O'Neill, Qi Zhu:
One for Many: Transfer Learning for Building HVAC Control. - Lijun Wang, Yanting Zhu, Jue Shi, Xiaodan Fan:
Appearance-free Tripartite Matching for Multiple Object Tracking. - Juan Luis Gonzalez, Munchurl Kim:
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes. - Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia:
MODEL: Motif-based Deep Feature Learning for Link Prediction. - Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia:
Big Networks: A Survey. - Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong:
Random Walks: A Review of Algorithms and Applications. - Jie Hou, Hanxiao Pan, Teng Guo, Ivan Lee, Xiangjie Kong, Feng Xia:
Prediction Methods and Applications in the Science of Science: A Survey. - José F. S. Bravo Ferreira, David Cowburn, Yuehaw Khoo, Amit Singer:
NMR Assignment through Linear Programming. - Qifa Yan, Daniela Tuninetti:
Fundamental Limits of Caching for Demand Privacy against Colluding Users. - Daniel de Marchi, Amarjit Budhiraja:
Augmenting Molecular Images with Vector Representations as a Featurization Technique for Drug Classification. - Edward R. Pantridge, Lee Spector:
Code Building Genetic Programming. - Khashayar Gatmiry, Maryam Aliakbarpour, Stefanie Jegelka:
Testing Determinantal Point Processes. - Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia:
Multivariate Relations Aggregation Learning in Social Networks. - Yanming Yang, Xin Xia, David Lo, Tingting Bi, John C. Grundy, Xiaohu Yang:
Predictive Models in Software Engineering: Challenges and Opportunities. - Nitin Rathi, Kaushik Roy:
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks. - Anjin Liu, Jie Lu, Guangquan Zhang:
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations. - Wulin Zou, Pu Duan, Yawen Chen, Ningbo Yu, Ling Shi:
Variable Stiffness Control with Strict Frequency Domain Constraints for Physical Human-Robot Interaction. - Paige Maas, Zack W. Almquist, Eugenia Giraudy, J. W. Schneider:
Using social media to measure demographic responses to natural disaster: Insights from a large-scale Facebook survey following the 2019 Australia Bushfires. - Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Philip S. Yu, Lifang He:
Adversarial Directed Graph Embedding. - Markus Friedrich, Sebastian Feld, Thomy Phan, Pierre-Alain Fayolle:
Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning. - Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling:
Feature Space Augmentation for Long-Tailed Data. - Markus Friedrich, Christoph Roch, Sebastian Feld, Carsten Hahn, Pierre-Alain Fayolle:
A Flexible Pipeline for the Optimization of CSG Trees. - Orr Dunkelman, Zeev Geyzel, Chaya Keller, Nathan Keller, Eyal Ronen, Adi Shamir, Ran J. Tessler:
Consistent High Dimensional Rounding with Side Information. - Shlomo Moran, Irad Yavneh:
Adjustable Coins. - Mohammad J. Hashemi, Eric Keller:
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems. - Zoubir Hamici:
Randomness Evaluation of a Genetic Algorithm for Image Encryption: A Signal Processing Approach. - Chayma Zatout, Slimane Larabi:
From depth image to semantic scene synthesis through point cloud classification and labeling: Application to assistive systems. - Mengmeng Yang, Lingjuan Lyu, Jun Zhao, Tianqing Zhu, Kwok-Yan Lam:
Local Differential Privacy and Its Applications: A Comprehensive Survey. - Johan H. Koskinen, Pete Jones, Darkhan Medeuov, Artem Antonyuk, Kseniia Puzyreva, Nikita Basov:
Analysing Networks of Networks. - Jiang Yue, Weisong Wen, Jing Han, Li-Ta Hsu:
LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR. - Christopher Diehl, Eduard Feicho, Alexander Schwambach, Thomas Dammeier, Eric Mares, Torsten Bertram:
Radar-based Dynamic Occupancy Grid Mapping and Object Detection. - Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman, Mike Enloe:
Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain. - Vitaly Feldman, Chiyuan Zhang:
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation. - Changhong Fu, Xiaoxiao Yang, Fan Li, Juntao Xu, Changjing Liu, Peng Lu:
Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking. - Weifeng Ma, Zhe Chen, Caoting Ji:
Block Shuffle: A Method for High-resolution Fast Style Transfer with Limited Memory. - Hongwei Liu, Shengwei Liu:
New Constructions of MDS Twisted Reed-Solomon Codes and LCD MDS Codes. - Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He:
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks. - Naoshi Uchihira, Masami Yoshida:
Agricultural Knowledge Management Using Smart Voice Messaging Systems: Combination of Physical and Human Sensors. - Gyeongsik Moon, Kyoung Mu Lee:
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image. - Ekaterina Komendantskaya, Dmitry Rozplokhas, Henning Basold:
The New Normal: We Cannot Eliminate Cuts in Coinductive Calculi, But We Can Explore Them. - Antonios Minas Krasakis, Mohammad Aliannejadi, Nikos Voskarides, Evangelos Kanoulas:
Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search. - Jeong-Kyun Lee, Young Ki Baik, Hankyu Cho, Kang Kim, Duck Hoon Kim:
1-Point RANSAC-Based Method for Ground Object Pose Estimation. - Daniel Ritter, Jan Broß:
A Rule-based Language for Application Integration. - Jeong-Kyun Lee, Young Ki Baik, Hankyu Cho, Seungwoo Yoo:
Online Extrinsic Camera Calibration for Temporally Consistent IPM Using Lane Boundary Observations with a Lane Width Prior. - Haoran Duan, Shidong Wang, Yu Guan:
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting. - Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Metric Learning vs Classification for Disentangled Music Representation Learning. - Martin Weyssow, Houari A. Sahraoui, Benoît Vanderose, Benoît Frénay:
Function completion in the time of massive data: A code embedding perspective. - Yu Zhang, Houquan Zhou, Zhenghua Li:
Fast and Accurate Neural CRF Constituency Parsing. - Jingyuan Li, Ning Wang, Lefei Zhang, Bo Du, Dacheng Tao:
Recurrent Feature Reasoning for Image Inpainting. - Chenggang Yan, Zhisheng Li, Yongbing Zhang, Yutao Liu, Xiangyang Ji, Yongdong Zhang:
Depth image denoising using nuclear norm and learning graph model. - Roberto Garrappa, Eva Kaslik:
Stability of fractional-order systems with Prabhakar derivatives. - Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie:
SEALing Neural Network Models in Secure Deep Learning Accelerators. - Gal Beniamini, Nathan Cheng, Olga Holtz, Elaye Karstadt, Oded Schwartz:
Sparsifying the Operators of Fast Matrix Multiplication Algorithms. - Nathalie Bertrand, Patricia Bouyer, Anirban Majumdar:
Synthesizing safe coalition strategies. - Ralph Foorthuis:
Tactics for Internal Compliance: A Literature Review. - Reza Roofegari Nejad, Wei Sun:
Scalable Distributed Non-Convex ADMM-based Active Distribution System Service Restoration. - Chhavi Sharma, Deepesh Bhageria, William Scott, Srinivas PYKL, Amitava Das, Tanmoy Chakraborty, Viswanath Pulabaigari, Björn Gambäck:
SemEval-2020 Task 8: Memotion Analysis - The Visuo-Lingual Metaphor! - Walter Didimo, Michael Kaufmann, Giuseppe Liotta, Giacomo Ortali:
Rectilinear Planarity Testing of Plane Series-Parallel Graphs in Linear Time. - Ahmed Hussain Qureshi, Jiangeng Dong, Austin Choe, Michael C. Yip:
Neural Manipulation Planning on Constraint Manifolds. - Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger:
Flow-Guided Attention Networks for Video-Based Person Re-Identification. - Zhengyi Luo, S. Alireza Golestaneh, Kris M. Kitani:
3D Human Motion Estimation via Motion Compression and Refinement. - Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang:
Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition. - Kaibo Hu, Qian Zhang, Zhimin Zhang:
A family of finite element Stokes complexes in three dimensions. - Manel Slokom, Martha A. Larson, Alan Hanjalic:
Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding. - Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui:
Spatiotemporal Contrastive Video Representation Learning. - Yuanfeng Han, Ruixin Li, Gregory S. Chirikjian:
Can I lift it? Humanoid robot reasoning about the feasibility of lifting a heavy box with unknown physical properties. - Xiuming Zhang, Sean Ryan Fanello, Yun-Ta Tsai, Tiancheng Sun, Tianfan Xue, Rohit Pandey, Sergio Orts-Escolano, Philip Davidson, Christoph Rhemann, Paul E. Debevec, Jonathan T. Barron, Ravi Ramamoorthi, William T. Freeman:
Neural Light Transport for Relighting and View Synthesis. - Mohammed Alqahtani, Susan Gauch, Omar Salman, Mohammed Ibrahim, Reem Al-Saffar:
Diverse Group Formation Based on Multiple Demographic Features. - Lionel M. Levine, Migyeong Gwak, Kimmo Kärkkäinen, Shayan Fazeli, Bita Zadeh, Tara Peris, Alexander S. Young, Majid Sarrafzadeh:
Anxiety Detection Leveraging Mobile Passive Sensing. - Xudong Wang, Ziwei Liu, Stella X. Yu:
Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups. - Hayato Futami, Hirofumi Inaguma, Sei Ueno, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara:
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR. - Sai Bi, Zexiang Xu, Pratul P. Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Milos Hasan, Yannick Hold-Geoffroy, David J. Kriegman, Ravi Ramamoorthi:
Neural Reflectance Fields for Appearance Acquisition. - Manie Tadayon, Greg Pottie:
Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach. - Weiye Zhao, Suqin He, Chengtao Wen, Changliu Liu:
Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization. - Yuxiang Lu, Zhuqing Jia, Syed Ali Jafar:
Double Blind T-Private Information Retrieval. - Frédéric Giroire, Stéphane Pérennes, Thibaud Trolliet:
A Random Growth Model with any Real or Theoretical Degree Distribution. - Jichao Zhang, Jingjing Chen, Hao Tang, Wei Wang, Yan Yan, Enver Sangineto, Nicu Sebe:
Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild. - Rahul Yedida, Tim Menzies:
Improving Deep Learning for Defect Prediction (using the GHOST Hyperparameter Optimizer). - Ahmed Ramzy, Ahmed Elazab:
Question Identification in Arabic Language Using Emotional Based Features. - Xiaomei Bai, Ivan Lee, Zhaolong Ning, Amr Tolba, Feng Xia:
The Role of Positive and Negative Citations in Scientific Evaluation. - Svetlana N. Yanushkevich, Vlad P. Shmerko:
On the Gap between Epidemiological Surveillance and Preparedness. - Yingguo Xu, Lei Zhang, Qingyan Duan:
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition. - Yusong Du, Baoying Fan, Baodian Wei:
An Improved Exact Sampling Algorithm for the Standard Normal Distribution. - Xiaomei Bai, Fuli Zhang, Jie Hou, Ivan Lee, Xiangjie Kong, Amr Tolba, Feng Xia:
Quantifying the Impact of Scholarly Papers Based on Higher-Order Weighted Citations. - Jing Zhang, Yang Cao, Zheng-Jun Zha, Dacheng Tao:
Nighttime Dehazing with a Synthetic Benchmark. - Md Ashraf Ahmed, Arif Mohaimin Sadri, M. Hadi Amini:
Data-driven Inferences of Agency-level Risk and Response Communication on COVID-19 through Social Media based Interactions. - Xiaomei Bai, Hui Liu, Fuli Zhang, Zhaolong Ning, Xiangjie Kong, Ivan Lee, Feng Xia:
An Overview on Evaluating and Predicting Scholarly Article Impact. - Jianhang Chu, Xiaoming Chen, Caijun Zhong, Zhaoyang Zhang:
Robust Design for NOMA-based Multi-Beam LEO Satellite Internet of Things. - Alireza Hafez, Dorsa Nahid, Majid Khabbazian:
Barometers Can Hear, and Sense Finger Taps. - Juncheng Liu, Steven Mills, Brendan McCane:
RocNet: Recursive Octree Network for Efficient 3D Deep Representation. - Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone:
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach. - Hantao Cui, Fangxing Li, Joe H. Chow:
Mass-Matrix Differential-Algebraic Equation Formulation for Transient Stability Simulation. - Kamala Liu, William D. Henshaw:
Multigrid with Nonstandard Coarsening. - Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld:
Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. - Juan C. Quiroz, Tristan Bongolan, Kiran Ijaz:
Alexa Depression and Anxiety Self-tests: A Preliminary Analysis of User Experience and Trust. - Po-Heng Chen, Zhao-Xu Luo, Zu-Kuan Huang, Chun Yang, Kuan-Wen Chen:
IF-Net: An Illumination-invariant Feature Network. - Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye:
Prototype Mixture Models for Few-shot Semantic Segmentation. - David L. Martin, Peter F. Patel-Schneider:
Wikidata Constraints on MARS (Extended Technical Report). - Fanghui Xue, Yingyong Qi, Jack Xin:
RARTS: a Relaxed Architecture Search Method. - Sumit K. Mandal, Anish Krishnakumar, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras:
Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion. - Laxman Dhulipala, Changwan Hong, Julian Shun:
ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms. - Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, Xindong Wu:
A Survey on Large-scale Machine Learning. - Changhong Fu, Fangqiang Ding, Yiming Li, Jin Jin, Chen Feng:
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression. - Steffen Klee, Alexandros Roussos, Max Maass, Matthias Hollick:
NFCGate: Opening the Door for NFC Security Research with a Smartphone-Based Toolkit. - Fangqiang Ding, Changhong Fu, Yiming Li, Jin Jin, Chen Feng:
Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization. - Kuan Fang, Long Zhao, Zhan Shen, RuiXing Wang, RiKang Zhou, LiWen Fan:
Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine. - Jiyong Zhang, Tao Deng, Fei Yan, Wenbo Liu:
Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs. - Prakhar Swarup, Debmalya Chakrabarty, Ashtosh Sapru, Hitesh Tulsiani, Harish Arsikere, Sri Garimella:
Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models. - Hans J. T. Stephensen, Anne Marie Svane, Carlos Benitez, Steven A. Goldman, Jon Sporring:
Measuring shape relations using r-parallel sets. - Shijie Li, Yun Liu, Juergen Gall:
Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation. - Thomas Fischbacher, Iulia M. Comsa, Krzysztof Potempa, Moritz Firsching, Luca Versari, Jyrki Alakuijala:
Intelligent Matrix Exponentiation. - Matej Petkovic, Saso Dzeroski, Dragi Kocev:
Feature Ranking for Semi-supervised Learning. - Mathias Dorier, Guglielmo Frigo, Ali Abur, Mario Paolone:
Leverage Point Identification Method for LAV-Based State Estimation. - Leyang Cui, Sijie Cheng, Yu Wu, Yue Zhang:
Does BERT Solve Commonsense Task via Commonsense Knowledge? - Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang:
A Large-Scale Chinese Short-Text Conversation Dataset. - Samah Khawaled, Moti Freiman:
Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework. - Muhammad Bazm, Masoud Asadpour:
Behavioral Modeling of Persian Instagram Users to detect Bots. - Nadav Merlis, Shie Mannor:
Lenient Regret for Multi-Armed Bandits. - Yexu Zhou, Yuting Gao, Yiran Huang, Michael Hefenbrock, Till Riedel, Michael Beigl:
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone. - Swaroop Mishra, Anjana Arunkumar, Bhavdeep Singh Sachdeva, Chris Bryan, Chitta Baral:
DQI: A Guide to Benchmark Evaluation. - Yi Xie, Yun Xiong, Yangyong Zhu:
ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting. - Zhenzhen Wang, Weixiang Hong, Junsong Yuan:
Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing. - Xuemei Yi, Caijun Zhong:
Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems. - Sangah Lee, Hansol Jang, Yunmee Baik, Suzi Park, Hyopil Shin:
KR-BERT: A Small-Scale Korean-Specific Language Model. - Lei Shi, Alexandra I. Cristea, Ahmad Alamri, Armando Maciel Toda, Wilk Oliveira:
Social Interactions Clustering MOOC Students: An Exploratory Study. - Carlo Rizzardo, Sunny Katyara, Miguel Fernandes, Fei Chen:
The Importance and the Limitations of Sim2Real for Robotic Manipulation in Precision Agriculture. - Mirko D'Angelo, Sona Ghahremani, Simos Gerasimou, Johannes Grohmann, Ingrid Nunes, Sven Tomforde, Evangelos Pournaras:
Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning. - Haoyu Chen, Zitong Yu, Xin Liu, Wei Peng, Yoon Lee, Guoying Zhao:
2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework. - Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane:
HAPI: Hardware-Aware Progressive Inference. - Maryam Hasani-Shoreh, Renato Hermoza Aragonés, Frank Neumann:
Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation. - Barzan A. Yosuf, Amal A. Alahmadi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Cloud Fog Architectures in 6G Networks. - Emilio Tanowe Maddalena, Paul Scharnhorst, Colin N. Jones:
Deterministic error bounds for kernel-based learning techniques under bounded noise. - R. B. Ashith Shyam, Zhou Hao, Umberto Montanaro, Gerhard Neumann:
Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space. - Thomas Eiter, Rafael Kiesel:
ASP(AC): Answer Set Programming with Algebraic Constraints. - Hongchen Tan, Yuhao Bian, Huasheng Wang, Xiuping Liu, Baocai Yin:
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification. - Hongchen Tan, Xiuping Liu, Shengjing Tian, Baocai Yin, Xin Li:
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification. - Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Maeder:
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. - Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Ruili Wang, Jie Yang:
Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks. - Christos Giotitsas, Pedro H. J. Nardelli, Vasilis Kostakis, Arun Narayanan:
From private to public governance: The case for reconfiguring energy systems as a commons. - Zhe Chen, Shohei Nobuhara, Ko Nishino:
Invertible Neural BRDF for Object Inverse Rendering. - Zeyuan Wang, Yifan Zhao, Jia Li, Yonghong Tian:
Cooperative Bi-path Metric for Few-shot Learning. - Ahmed Frikha, Denis Krompaß, Volker Tresp:
ARCADe: A Rapid Continual Anomaly Detector. - Georgios M. Santipantakis, George A. Vouros, Christos Doulkeridis:
Towards Integrated and Open COVID-19 Data. - Andreas Brandstädt, Raffaele Mosca:
Finding Efficient Domination for S1, 3, 3-Free Bipartite Graphs in Polynomial Time. - Abdelhak Loukkal, Yves Grandvalet, Tom Drummond, You Li:
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning. - Simon Jantsch, Hans Harder, Florian Funke, Christel Baier:
SWITSS: Computing Small Witnessing Subsystems. - Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang:
Exploring Cohesive Subgraphs with Vertex Engagement and Tie Strength in Bipartite Graphs. - David Noever, Matthew Ciolino, Josh Kalin:
The Chess Transformer: Mastering Play using Generative Language Models. - Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov:
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. - Alanna Komisar, Mark S. Fox:
An Energy Ontology for Global City Indicators (ISO 37120). - Roman V. Yampolskiy:
On Controllability of AI. - Gabriel Mersy, Vincent Santore, Isaac Rand, Corrine Kleinman, Grant Wilson, Jason Bonsall, Tyler Edwards:
A Comparison of Machine Learning Algorithms Applied to American Legislature Polarization. - Debarag Narayan Banerjee, Sasanka Sekhar Chanda:
AI Failures: A Review of Underlying Issues. - Artem Lunev, Vadim Zborovskii, Teymur Aliev:
Complexity matters: highly-accurate numerical models of coupled radiative-conductive heat transfer in a laser flash experiment. - Qiang Wang, Dachuan Li, Joseph Sifakis:
Safe and efficient collision avoidance control for autonomous vehicles. - Dimitri Jeltsema, Arjan van der Schaft:
Memcapacitors and Meminductors are Overunity Systems! - Zhipeng Gao:
When Deep Learning Meets Smart Contracts. - Alex Serban, Erik Poll, Joost Visser:
Adversarial Examples on Object Recognition: A Comprehensive Survey. - Luca Guarnera, Oliver Giudice, Sebastiano Battiato:
Fighting Deepfake by Exposing the Convolutional Traces on Images. - Amir Hosein Afshar Sedigh, Martin K. Purvis, Bastin Tony Roy Savarimuthu, Maryam A. Purvis, Christopher K. Frantz:
Impact of meta-roles on the evolution of organisational institutions. - Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh:
Review of Swarm Intelligence-based Feature Selection Methods. - Maulik Bhatt, Amit K. Sanyal, Srikant Sukumar:
Optimal multi-rate rigid body attitude estimation based on Lagrange-d'Alembert principle. - Dagnachew Azene Temesgene, Marco Miozzo, Deniz Gündüz, Paolo Dini:
Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells. - Giovambattista Ianni, Francesco Pacenza, Jessica Zangari:
Incremental maintenance of overgrounded logic programs with tailored simplifications. - Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat:
Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents. - Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash:
Data Minimization for GDPR Compliance in Machine Learning Models. - Vikas Singh, Pooja Agrawal, Teena Sharma, Nishchal K. Verma:
Improved Adaptive Type-2 Fuzzy Filter with Exclusively Two Fuzzy Membership Function for Filtering Salt and Pepper Noise. - Hyeonseong Jeon, Youngoh Bang, Junyaup Kim, Simon S. Woo:
T-GD: Transferable GAN-generated Images Detection Framework. - Ross Dempsey, Charles Guinn:
A Phase Transition in Minesweeper. - Max H. Cohen, Calin Belta:
Approximate Optimal Control for Safety-Critical Systems with Control Barrier Functions. - Fernando A. Morales, Jairo A. Martínez:
Expected Performance and Worst Case Scenario Analysis of the Divide-and-Conquer Method for the 0-1 Knapsack Problem. - Emilio Di Giacomo, Walter Didimo, Giuseppe Liotta, Fabrizio Montecchiani, Alessandra Tappini:
Storyline Visualizations with Ubiquitous Actors. - Yusuf Izmirlioglu, Esra Erdem:
Reasoning about Cardinal Directions between 3-Dimensional Extended Objects using Answer Set Programming. - Junchen Jiang, Siddhartha Sen:
A New Abstraction for Internet QoE Optimization. - Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, Xialiang Tong, Jia Zeng, Jun Wang, Dirk Schnieders:
Bilevel Learning Model Towards Industrial Scheduling. - Jarrett Holtz, Arjun Guha, Joydeep Biswas:
Robot Action Selection Learning via Layered Dimension Informed Program Synthesis. - Iker Ceballos, Vivek Sharma, Eduardo Mugica, Abhishek Singh, Alberto Roman, Praneeth Vepakomma, Ramesh Raskar:
SplitNN-driven Vertical Partitioning. - Eric Cancès, Geneviève Dusson, Yvon Maday, Benjamin Stamm, Martin Vohralík:
Guaranteed a posteriori bounds for eigenvalues and eigenvectors: multiplicities and clusters. - Zhe Li, Rui Pu, Yili Xia, Wenjiang Pei, Danilo P. Mandic:
A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals. - Yiheng Liu, Wengang Zhou, Mao Xi, Sanjing Shen, Houqiang Li:
Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation. - Sepehr Assadi, Aaron Bernstein, Zachary Langley:
Improved Bounds for Distributed Load Balancing. - Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander:
Deep Sketch-guided Cartoon Video Synthesis. - Xuehao Wang, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin:
Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object Detection. - Zhenyu Wu, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin:
Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub Networks. - Chenglizhao Chen, Jipeng Wei, Chong Peng, Hong Qin:
Depth Quality Aware Salient Object Detection. - Marius Bozga, Radu Iosif:
Verifying Safety Properties of Inductively Defined Parameterized Systems. - Philip Feldman:
Navigating Language Models with Synthetic Agents. - Alexander Willner, Varun Gowtham:
Towards a Reference Architecture Model for Industrial Edge Computing. - Alasdair Hill, Ekaterina Komendantskaya, Ronald P. A. Petrick:
Proof-Carrying Plans: a Resource Logic for AI Planning. - Manuel Bravo, Gregory V. Chockler, Alexey Gotsman:
Making Byzantine Consensus Live (Extended Version). - Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty. - Jonas Rauber, Matthias Bethge, Wieland Brendel:
EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy. - Triet Huynh Minh Le, Roland Croft, David Hin, Muhammad Ali Babar:
Demystifying the Mysteries of Security Vulnerability Discussions on Developer Q&A Sites. - Niels C. Taubert, Andre Bruns, Christopher Lenke, Graham Stone:
Waiving Article Processing Charges for Least Developed Countries. A Brick Stone of a Large-scale Open Access Transformation. - Raihan Sayeed Khan, Nadim H. Kanan, Jake Scoggin, Helena Silva, Ali Gokirmak:
Scaling of Multi-contact Phase Change Device for Toggle Logic Operations. - Ernesto Kofman, Denise Marzorati, Joaquín Fernández:
Connected Components in Undirected Set-Based Graphs. Applications in Object-Oriented Model Manipulation. - Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong:
Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling. - Titouan Carette, Emmanuel Jeandel:
On a recipe for quantum graphical languages. - Timo Hinzmann, Tobias Stegemann, Cesar Cadena, Roland Siegwart:
Deep Learning-based Human Detection for UAVs with Optical and Infrared Cameras: System and Experiments. - Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri:
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach. - Gunnar Mein, Kevin Hartman, Andrew Morris:
FireBERT: Hardening BERT-based classifiers against adversarial attack. - Seyed Mohammad Mahdi Heidarpoor Yazdi, Abdolhossein Abbassian:
Working Memory for Online Memory Binding Tasks: A Hybrid Model. - Oluwasegun Ayokunle Somefun, Kayode Akingbade, Folasade Mojisola Dahunsi:
The nlogistic-sigmoid function. - Risto Miikkulainen:
Creative AI Through Evolutionary Computation: Principles and Examples. - Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley:
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning. - Scott T. Miller, John F. Lindner, Anshul Choudhary, Sudeshna Sinha, William L. Ditto:
Mastering high-dimensional dynamics with Hamiltonian neural networks. - Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao:
STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence. - (Withdrawn) Using Experts' Opinions in Machine Learning Tasks.
- Changchun Yang, Hengrong Lan, Feng Gao, Fei Gao:
Deep learning for photoacoustic imaging: a survey. - S. Bompas, Bertrand Georgeot, David Guéry-Odelin:
Accuracy of neural networks for the simulation of chaotic dynamics: precision of training data vs precision of the algorithm. - Aijuan Song, Guohua Wu, Witold Pedrycz:
Integrating Variable Reduction Strategy with Evolutionary Algorithm for Solving Nonlinear Equations Systems. - Lucas S. Batista, Felipe Campelo, Frederico G. Guimarães, Jaime A. Ramírez:
The Cone epsilon-Dominance: An Approach for Evolutionary Multiobjective Optimization. - Lucas Sakizloglou, Sona Ghahremani, Matthias Barkowsky, Holger Giese:
A Scalable Querying Scheme for Memory-efficient Runtime Models with History. - Massimo Benerecetti, Daniele Dell'Erba, Marco Faella, Fabio Mogavero:
From Quasi-Dominions to Progress Measures. - Amy X. Zhang, Grant Hugh, Michael S. Bernstein:
PolicyKit: Building Governance in Online Communities. - Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman:
Self-Supervised Learning of Audio-Visual Objects from Video. - Xavier Défago, Yuval Emek, Shay Kutten, Toshimitsu Masuzawa, Yasumasa Tamura:
Communication Efficient Self-Stabilizing Leader Election (Full Version). - Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang:
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective. - Martin Eigel, Robert Gruhlke, Manuel Marschall:
Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion. - Dustin G. Mixon, Kaiying Xie:
Sketching semidefinite programs for faster clustering. - B. Simons, David B. Skillicorn:
A Bootstrapped Model to Detect Abuse and Intent in White Supremacist Corpora. - Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL, Björn Gambäck, Tanmoy Chakraborty, Thamar Solorio, Amitava Das:
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets. - Jameson Cahill, Dustin G. Mixon, Hans Parshall:
Lie PCA: Density estimation for symmetric manifolds. - Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin:
COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform. - Charles Clum, Dustin G. Mixon:
Parameter estimation in the SIR model from early infections. - Guy E. Blelloch, Yuanhao Wei:
Concurrent Fixed-Size Allocation and Free in Constant Time. - Heiko Gimperlein, Ceyhun Özdemir, David Stark, Ernst P. Stephan:
A residual a posteriori error estimate for the time-domain boundary element method. - Heiko Gimperlein, Ceyhun Özdemir, Ernst P. Stephan:
A time-dependent FEM-BEM coupling method for fluid-structure interaction in 3d. - Magnús M. Halldórsson, Fabian Kuhn, Yannic Maus, Alexandre Nolin:
Coloring Fast Without Learning Your Neighbors' Colors. - Sebastian Cassel:
Self-accelerating root search and optimisation methods based on rational interpolation. - Yujie Li, Sikai Chen, Paul Young Joun Ha, Jiqian Dong, Aaron Steinfeld, Samuel Labi:
Leveraging Vehicle Connectivity and Autonomy to Stabilize Flow in Mixed Traffic Conditions: Accounting for Human-driven Vehicle Driver Behavioral Heterogeneity and Perception-reaction Time Delay. - Zahra Goli, Seyed Mohammad Razavizadeh, Hamed Farhadi, Tommy Svensson:
Secure Simultaneous Information and Power Transfer for Downlink Multi-user Massive MIMO. - Paul T. Grogan:
Co-design and Co-simulation for Engineering Systems: Insights from the Sustainable Infrastructure Planning Game. - Jakob Dürrwächter, Marius Kurz, Patrick Kopper, Daniel Kempf, Claus-Dieter Munz, Andrea Beck:
An Efficient Sliding Mesh Interface Method for High-Order Discontinuous Galerkin Schemes. - Sinan G. Aksoy, Emilie Purvine, Stephen J. Young:
Directional Laplacian Centrality for Cyber Situational Awareness. - Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano:
Distributed Personalized Gradient Tracking with Convex Parametric Models. - Meng Zhang, Tuanfeng Y. Wang, Duygu Ceylan, Niloy J. Mitra:
Deep Detail Enhancement for Any Garment. - Lei Shi, Alexandra I. Cristea, Armando Maciel Toda, Wilk Oliveira:
Exploring Navigation Styles in a FutureLearn MOOC. - Preslav Nakov:
Can We Spot the "Fake News" Before It Was Even Written? - Hodaya Binyamini, Ron Bitton, Masaki Inokuchi, Tomohiko Yagyu, Yuval Elovici, Asaf Shabtai:
An Automated, End-to-End Framework for Modeling Attacks From Vulnerability Descriptions. - Yang Li, Shichao Kan, Zhihai He:
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss. - Sanchu Han:
A Survey and Insights on Deployments of the Connected and Autonomous Vehicles in US. - Hao Tang, Song Bai, Philip H. S. Torr, Nicu Sebe:
Bipartite Graph Reasoning GANs for Person Image Generation. - Mohammad Amin Hariri-Ardebili, Farhad Pourkamali-Anaraki, Siamak Sattar:
Uncertainty Quantification of Structural Systems with Subset of Data. - Grgur Kovac, Adrien Laversanne-Finot, Pierre-Yves Oudeyer:
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning. - Guillaume Alain, Maxime Chevalier-Boisvert, Frédéric Osterrath, Rémi Piché-Taillefer:
DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop. - Steven Wei Der Chien, Artur Podobas, Ivy Bo Peng, Stefano Markidis:
tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads. - Steven Wei Der Chien, Jonas Nylund, Gabriel Bengtsson, Ivy Bo Peng, Artur Podobas, Stefano Markidis:
sputniPIC: an Implicit Particle-in-Cell Code for Multi-GPU Systems. - Ibrahim Ahmed, Hamed Khorasgani, Gautam Biswas:
Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control. - Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning. - Giuseppe Patanè:
Meshless Approximation and Helmholtz-Hodge Decomposition of Vector Fields. - David Daniel Albarracin-Molina:
Adaptive music: Automated music composition and distribution. - Arindam Biswas, Venkatesh Raman, Saket Saurabh:
Approximation in (Poly-) Logarithmic Space. - Davis Arthur, Prasanna Date:
Balanced k-Means Clustering on an Adiabatic Quantum Computer. - Armando Castañeda, Miguel Piña:
Fully Read/Write Fence-Free Work-Stealing with Multiplicity. - Logan Gilmour, Nilanjan Ray:
Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention. - Ameet Annasaheb Rahane, Anbumani Subramanian:
Measures of Complexity for Large Scale Image Datasets. - Saavan Patel, Lili Chen, Philip Canoza, Sayeef S. Salahuddin:
Ising Model Optimization Problems on a FPGA Accelerated Restricted Boltzmann Machine. - Shuyue Lan, Zhilu Wang, Amit K. Roy-Chowdhury, Ermin Wei, Qi Zhu:
Distributed Multi-agent Video Fast-forwarding. - Guanqun Cao, Yi Zhou, Danushka Bollegala, Shan Luo:
Spatio-temporal Attention Model for Tactile Texture Recognition. - Amr Elsisy, Aamir Mandviwalla, Boleslaw K. Szymanski, Thomas C. Sharkey:
A Synthetic Network Generator for Covert Network Analytics. - Simon M. Lucas:
Cross-Platform Games in Kotlin. - Jed A. Duersch, Ming Gu:
Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations. - Athar Kharal:
Explainable Artificial Intelligence Based Fault Diagnosis and Insight Harvesting for Steel Plates Manufacturing. - Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton:
Trustworthy AI Inference Systems: An Industry Research View. - Jelle Hellings, Daniel P. Hughes, Joshua Primero, Mohammad Sadoghi:
Cerberus: Minimalistic Multi-shard Byzantine-resilient Transaction Processing. - Korrawe Karunratanakul, Jinlong Yang, Yan Zhang, Michael J. Black, Krikamol Muandet, Siyu Tang:
Grasping Field: Learning Implicit Representations for Human Grasps. - Zheqing Zhu, Erdem Biyik, Dorsa Sadigh:
Multi-Agent Safe Planning with Gaussian Processes. - Jarallah Alqahtani, Bechir Hamdaoui:
Bert: Scalable Source Routed Multicast for Cloud Data Centers. - Liljana Babinkostova, Ariana Chin, Aaron Kirtland, Vladyslav Nazarchuk, Esther Plotnick:
The Polynomial Learning With Errors Problem and the Smearing Condition. - Tianjian Chen, Zhanpeng He, Matei T. Ciocarlie:
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning. - Umair Siddique:
SafetyOps. - Siavash Farzan, Vahid Azimi, Ai-Ping Hu, Jonathan D. Rogers:
Cable Estimation-Based Control for Wire-Borne Underactuated Brachiating Robots: A Combined Direct-Indirect Adaptive Robust Approach. - Rui Wang, Chaitanya Mitash, Shiyang Lu, Daniel Boehm, Kostas E. Bekris:
Safe and Effective Picking Paths in Clutter given Discrete Distributions of Object Poses. - Rui Facundo Vigelis, Luiza Helena Félix de Andrade, Charles C. Cavalcante:
Conditions for the existence of a generalization of Rényi divergence. - Mubin Ul Haque, Leonardo Horn Iwaya, Muhammad Ali Babar:
Challenges in Docker Development: A Large-scale Study Using Stack Overflow. - Jeffrey Byrne, Brian DeCann, Scott Bloom:
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors. - Beixiong Zheng, Changsheng You, Rui Zhang:
Fast Channel Estimation for IRS-Assisted OFDM. - Farhad Farokhi, Peyman Mohajerin Esfahani:
Security Versus Privacy. - Xiaoxue Ma, Shangru Wu, Ernest Bota Pobee, Xiupei Mei, Hao Zhang, Bo Jiang, Wing Kwong Chan:
RegionTrack: A Trace-based Sound and Complete Checker to Debug Transactional Atomicity Violations and Non-Serializable Traces. - Umar Iqbal, Steven Englehardt, Zubair Shafiq:
Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors. - Jack Goetz, Ambuj Tewari:
Federated Learning via Synthetic Data. - Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks. - Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan:
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. - Ruoxi Shi, Zhengrong Xue, Xinyang Li:
Keypoint Autoencoders: Learning Interest Points of Semantics. - Jiacheng Li, Siliang Tang, Juncheng Li, Jun Xiao, Fei Wu, Shiliang Pu, Yueting Zhuang:
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling. - Nguyen-Dong Ho, Ik-Joon Chang:
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers. - Han Zhao, Junjie Hu, Andrej Risteski:
On Learning Language-Invariant Representations for Universal Machine Translation. - Henrique Galvan Debarba, Mario Montagud, Sylvain Chagué, Javier Lajara, Ignacio Lacosta, Sergi Fernández Langa, Caecilia Charbonnier:
Content Format and Quality of Experience in Virtual Reality. - Shiqi Shen, Aashish Kolluri, Zhen Dong, Prateek Saxena, Abhik Roychoudhury:
Localizing Patch Points From One Exploit. - Allison Cohen, Abhishek Gupta:
Montreal AI Ethics Institute's (MAIEI) Submission to the World Intellectual Property Organization (WIPO) Conversation on Intellectual Property (IP) and Artificial Intelligence (AI) Second Session. - Gang Bao, Xiang Xu, Jian Zhai:
An inverse spectral problem for a damped wave operator. - Haotian Zhang, Cristobal Sciutto, Maneesh Agrawala, Kayvon Fatahalian:
Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Players. - Allison Cohen, Abhishek Gupta:
Report prepared by the Montreal AI Ethics Institute In Response to Mila's Proposal for a Contact Tracing App. - Thomas Ehrhard:
Upper approximating probabilities of convergence in probabilistic coherence spaces. - Kenta Nagura, Song Bian, Takashi Sato:
FedNNNN: Norm-Normalized Neural Network Aggregation for Fast and Accurate Federated Learning. - Abhishek Gupta, Nikitasha Kapoor:
Comprehensiveness of Archives: A Modern AI-enabled Approach to Build Comprehensive Shared Cultural Heritage. - Chenggang Cui, Nan Yan, Chuanlin Zhang:
An Intelligent Control Strategy for buck DC-DC Converter via Deep Reinforcement Learning. - Travis Gesslein, Verena Biener, Philipp Gagel, Daniel Schneider, Per Ola Kristensson, Eyal Ofek, Michel Pahud, Jens Grubert:
Pen-based Interaction with Spreadsheets in Mobile Virtual Reality. - Jiachun Feng, Zusheng Zhang, Cheng Ding, Yanghui Rao, Haoran Xie:
Context Reinforced Neural Topic Modeling over Short Texts. - Haonan Lu, Hailin Hu:
DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding. - Bianka Buschbeck, Miriam Exel:
A parallel evaluation data set of software documentation with document structure annotation. - Jan Haltermann, Heike Wehrheim:
Cooperative Verification via Collective Invariant Generation. - Rishi Advani, Madison Crim, Sean O'Hagan:
Random Projections and Dimension Reduction. - Tianhao Zhang, Hung-Yu Tseng, Lu Jiang, Honglak Lee, Irfan Essa, Weilong Yang:
Text as Neural Operator: Image Manipulation by Text Instruction. - Hiroyuki Kobayashi, Hitoshi Kiya:
Extension of JPEG XS for Two-Layer Lossless Coding. - Verena Biener, Daniel Schneider, Travis Gesslein, Alexander Otte, Bastian Kuth, Per Ola Kristensson, Eyal Ofek, Michel Pahud, Jens Grubert:
Breaking the Screen: Interaction Across Touchscreen Boundaries in Virtual Reality for Mobile Knowledge Workers. - Masahiro Sato, Sho Takemori, Janmajay Singh, Tomoko Ohkuma:
Unbiased Learning for the Causal Effect of Recommendation. - Yongchao Liu, Yue Jin, Yong Chen, Teng Teng, Hang Ou, Rui Zhao, Yao Zhang:
Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations. - Bodin Chinthanet, Serena Elisa Ponta, Henrik Plate, Antonino Sabetta, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto:
Code-based Vulnerability Detection in Node.js Applications: How far are we? - Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz:
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. - Peter Meltzer, Marcelo Daniel Gutierrez Mallea, Peter J. Bentley:
PiNet: Attention Pooling for Graph Classification. - Liqiang Song, Ye Bi, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao:
DREAM: A Dynamic Relational-Aware Model for Social Recommendation. - Pietro Hiram Guzzi:
Using Network Embeddings for Improving Network Alignment. - Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang:
Rethinking Pseudo-LiDAR Representation. - Xiaodan Li, Yining Lang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Shuhui Wang, Hui Xue, Quan Lu:
Sharp Multiple Instance Learning for DeepFake Video Detection. - Vadim E. Levit, Eugen Mandrescu:
Critical sets, crowns, and local maximum independent sets. - Leon Keller, Daniel Tanneberg, Svenja Stark, Jan Peters:
Model-Based Quality-Diversity Search for Efficient Robot Learning. - Nestor Sánchez:
The decline of astronomical research in Venezuela. - Gang Chen, Yi Ding, Hugo Edwards, Chong Hin Chau, Sai Hou, Grace Johnson, Mohammed Sharukh Syed, Haoyuan Tang, Yue Wu, Ye Yan, Gil Tidhar, Nir Lipovetzky:
Planimation. - Keyang Liu, Yukio Ohsawa:
Reliable inter-blockchain communication framework for improving scalability. - Shahar Azulay, Lior Raz, Amir Globerson, Tomer Koren, Yehuda Afek:
Holdout SGD: Byzantine Tolerant Federated Learning. - Marta Kwiatkowska, Gethin Norman, David Parker, Gabriel Santos:
Automatic Verification of Concurrent Stochastic Systems. - Maurice Tchoupé Tchendji, Martin Xavier Tchembé, Armelle Linda Maténé Kakeu:
An ad-hoc social network generation approach. - Timo Hinzmann, Roland Siegwart:
Deep UAV Localization with Reference View Rendering. - Laura Dörr, Felix Brandt, Martin Pouls, Alexander Naumann:
Fully-Automated Packaging Structure Recognition in Logistics Environments. - Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap:
R-MNet: A Perceptual Adversarial Network for Image Inpainting. - Angel Ayala, Francisco Cruz, Diego Campos, Rodrigo Rubio, Bruno J. T. Fernandes, Richard Dazeley:
A Comparison of Humanoid Robot Simulators: A Quantitative Approach. - Alex Shafarenko:
A PLS blockchain for IoT applications: protocols and architecture. - Anna Glazkova:
A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification. - Amit Moryossef, Ioannis Tsochantaridis, Roee Aharoni, Sarah Ebling, Srini Narayanan:
Real-Time Sign Language Detection using Human Pose Estimation. - Marco Comunità, Andrea Gerino, Veranika Lim, Lorenzo Picinali:
PlugSonic: a web- and mobile-based platform for binaural audio and sonic narratives. - Wanhong Huang:
High-concurrency Custom-build Relational Database System's design and SQL parser design based on Turing-complete automata. - Willi Menapace, Stéphane Lathuilière, Elisa Ricci:
Learning to Cluster under Domain Shift. - Xiaomei Bai, Fuli Zhang, Jin Ni, Lei Shi, Ivan Lee:
Measure the Impact of Institution and Paper via Institution-citation Network. - Fuli Zhang, Xiaomei Bai, Ivan Lee:
Author Impact: Evaluations, Predictions, and Challenges. - Xiaomei Bai, Hanxiao Pan, Jie Hou, Teng Guo, Ivan Lee, Feng Xia:
Quantifying Success in Science: An Overview. - Youssef Bichiou, Hesham A. Rakha, Hossam M. Abdelghaffar:
A Simple Cooperative Platooning Controller for Connected Vehicles. - Behrouz Jedari, Feng Xia, Zhaolong Ning:
A Survey on Human-centric Communications in Non-cooperative Wireless Relay Networks. - Feng Xia, Haifeng Liu, Ivan Lee, Longbing Cao:
Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences. - Feng Xia, Nana Yaw Asabere, Haifeng Liu, Zhen Chen, Wei Wang:
Socially-Aware Conference Participant Recommendation with Personality Traits. - Feng Xia, Li Liu, Behrouz Jedari, Sajal K. Das:
PIS: A Multi-dimensional Routing Protocol for Socially-aware Networking. - Yang Yang, Zhen-Qiang Sun, Hui Xiong, Jian Yang:
S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification. - Lorenzo Clemente:
On the Complexity of the Universality and Inclusion Problems for Unambiguous Context-Free Grammars. 29-43 - Dimitur Nikolaev Krustev:
Optimizing Program Size Using Multi-result Supercompilation. 125-139 - Yang Chen, Martin Alain, Aljosa Smolic:
Fast and Accurate Optical Flow based Depth Map Estimation from Light Fields. - Hossein Ahmadvand, Fouzhan Foroutan:
DV-ARPA: Data Variety Aware Resource Provisioning for Big Data Processing in Accumulative Applications. - Bobby Filar, David French:
ProblemChild: Discovering Anomalous Patterns based on Parent-Child Process Relationships. - Brian Groenke, Luke Madaus, Claire Monteleoni:
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows. - Xu Zhang, Yiyang Ou, Siddhartha Sen, Junchen Jiang:
SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity. - Susanne C. Brenner:
A General Superapproximation Result. - Eunhyeok Park, Sungjoo Yoo:
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models. - Yang Chen, Martin Alain, Aljosa Smolic:
A Study of Efficient Light Field Subsampling and Reconstruction Strategies. - Anjuli R. K. Shere, Jason R. C. Nurse, Ivan Flechais:
Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things. - Nirupam Gupta, Shuo Liu, Nitin H. Vaidya:
Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE). - John-Clark Levin, Matthijs M. Maas:
Roadmap to a Roadmap: How Could We Tell When AGI is a 'Manhattan Project' Away? - Lixing Zhu, Yulan He, Deyu Zhou:
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. - Ali Sahragard, Hamid Falaghi, Mahdi Farhadi, Amir Mosavi, Abouzar Estebsari:
Generation expansion planning in the presence of wind power plants using a genetic algorithm model. - (Withdrawn) Channel Estimation via Direct Calculation and Deep Learning for RIS-Aided mmWave Systems.
- Stasa Milojevic:
Towards a more realistic citation model: The key role of research team sizes. - Niklas Funk, Dominik Baumann, Vincent Berenz, Sebastian Trimpe:
Learning Event-triggered Control from Data through Joint Optimization. - Jason R. C. Nurse, Louise Axon, Arnau Erola, Ioannis Agrafiotis, Michael Goldsmith, Sadie Creese:
The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes. - Lukas Holzbaur, Rina Polyanskaya, Nikita Polyanskii, Ilya Vorobyev, Eitan Yaakobi:
Lifted Multiplicity Codes. - Edward Robbins, Andy King, Jacob M. Howe:
Backjumping is Exception Handling. - Stasa Milojevic:
Nature, Science, and PNAS - Disciplinary profiles and impact. - Seokeon Choi, Junhyun Lee, Yunsung Lee, Alexander G. Hauptmann:
Robust Long-Term Object Tracking via Improved Discriminative Model Prediction. - Akinari Onishi:
Economical Visual Attention Test for Elderly Drivers. - Andrey de Aguiar Salvi, Nathan Gavenski, Eduardo H. P. Pooch, Felipe Tasoniero, Rodrigo C. Barros:
Attention-based 3D Object Reconstruction from a Single Image. - Jiawen Kang, Zehui Xiong, Chunxiao Jiang, Yi Liu, Song Guo, Yang Zhang, Dusit Niyato, Cyril Leung, Chunyan Miao:
Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework. - Lloyd Allison:
On the complexity of graphs (networks) by information content, and conditional (mutual) information given other graphs. - Xiaofeng Liu, Yimeng Zhang, Xiongchang Liu, Song Bai, Site Li, Jane You:
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving. - Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot:
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification. - Alexander Hudson, Shaogang Gong:
Transfer Learning for Protein Structure Classification at Low Resolution. - Qin Lyu, Kaushik Chakrabarti, Shobhit Hathi, Souvik Kundu, Jianwen Zhang, Zheng Chen:
Hybrid Ranking Network for Text-to-SQL. - Lodovica Marchesi, Michele Marchesi, Livio Pompianu, Roberto Tonelli:
Security checklists for Ethereum smart contract development: patterns and best practices. - Bo Wu, Mohamadreza Ahmadi, Suda Bharadwaj, Ufuk Topcu:
Constrained Active Classification Using Partially Observable Markov Decision Processes. - Antigoni Kleanthous, Timo Betcke, David P. Hewett, Paul Escapil-Inchauspé, Carlos Jerez-Hanckes, Anthony J. Baran:
Accelerated Calderón preconditioning for Maxwell transmission problems. - Shamal Faily, Claudia Iacob, Raian Ali, Duncan Ki-Aries:
Identifying Implicit Vulnerabilities through Personas as Goal Models. - Paolo Felli, Alessandro Gianola, Marco Montali:
SMT-based Safety Verification of Parameterised Multi-Agent Systems. - Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang:
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image. - Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan:
ARX Model Identification using Generalized Spectral Decomposition. - Andrzej Cichocki:
On Multiple Intelligences and Learning Styles for Artificial Intelligence Systems: Future Research Trends in AI with a Human Face? - Jingyang Zhang, Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan:
Learning Stereo Matchability in Disparity Regression Networks. - Ghananeel Rotithor, Daniel Trombetta, Rushikesh Kamalapurkar, Ashwin Dani:
Extension of Full and Reduced Order Observers for Image-based Depth Estimation using Concurrent Learning. - Lei Shi, Alexandra I. Cristea, Armando Maciel Toda, Wilk Oliveira:
Social Engagement versus Learning Engagement - An Exploratory Study of FutureLearn Learners. - Samuel P. Mullinix, Erikton Konomi, Renee Davis Townsend, Reza M. Parizi:
On Security Measures for Containerized Applications Imaged with Docker. - Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, Yulia Tsvetkov:
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification. - Chien-Yi Wang, Ya-Liang Chang, Shang-Ta Yang, Dong Chen, Shang-Hong Lai:
Unified Representation Learning for Cross Model Compatibility. - Kush Grover, Jan Kretínský, Tobias Meggendorfer, Maximilian Weininger:
An Anytime Algorithm for Reachability on Uncountable MDP. - Simon Porcher, Thomas Renault:
Social Distancing Beliefs and Human Mobility: Evidence from Twitter. - Ephrem Admasu Yekun, Petros Reda Samsom:
Detecting Urban Dynamics Using Deep Siamese Convolutional Neural Networks. - Pawel Zuk, Krzysztof Rzadca:
Scheduling Methods to Reduce Response Latency of Function as a Service. - Tomás Soucek, Jakub Lokoc:
TransNet V2: An effective deep network architecture for fast shot transition detection. - Gengxing Wang, Jiahuan Zhou, Ying Wu:
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection. - Fangfang Wang, Yifeng Chen, Fei Wu, Xi Li:
TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection. - Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman:
GeLaTO: Generative Latent Textured Objects. - Praveen Damacharla, Dhwani Mehta, Ahmad Y. Javaid, Vijay K. Devabhaktuni:
Study on State-of-the-art Cloud Services Integration Capabilities with Autonomous Ground Vehicles. - Praveen Damacharla, Ahmad Y. Javaid, Jennie J. Gallimore, Vijay K. Devabhaktuni:
Common Metrics to Benchmark Human-Machine Teams (HMT): A Review. - Xiaoze Jiang, Siyi Du, Zengchang Qin, Yajing Sun, Jing Yu:
KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue. - Shibani Santurkar, Dimitris Tsipras, Aleksander Madry:
BREEDS: Benchmarks for Subpopulation Shift. - Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri, C. V. Jawahar:
Revisiting Low Resource Status of Indian Languages in Machine Translation. - Bozhi Wang, Qin Wang, Shiping Chen, Yang Xiang:
Security Analysis on Tangle-based Blockchain through Simulation. - Jaya Thota, Adnan Aijaz:
Demo: Slicing-Enabled Private 4G/5G Network for Industrial Wireless Applications. - Helen C. Purchase, Daniel Archambault, Stephen G. Kobourov, Martin Nöllenburg, Sergey Pupyrev, Hsiang-Yun Wu:
The Turing Test for Graph Drawing Algorithms. - Xingyu Chen, Xuguang Lan, Fuchun Sun, Nanning Zheng:
A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning. - Zizhao Wang, Junyao Shi, Iretiayo Akinola, Peter K. Allen:
Maximizing BCI Human Feedback using Active Learning. - Andrew W. E. McDonald, Sean Grimes, David E. Breen:
Ortus: an Emotion-Driven Approach to (artificial) Biological Intelligence. - Jiaxi Tang, Hongyi Wen, Ke Wang:
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems. - Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
Hardware-Centric AutoML for Mixed-Precision Quantization. - Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar:
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. - Alex Serban, Magiel Bruntink, Joost Visser:
GraphRepo: Fast Exploration in Software Repository Mining. - Tobias Domhan, Michael J. Denkowski, David Vilar, Xing Niu, Felix Hieber, Kenneth Heafield:
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020. - Hugo Alatrista-Salas, Vincent Gauthier, Miguel Núñez-del-Prado, Monique Becker:
Impact of natural disasters on consumer behavior: case of the 2017 El Nino phenomenon in Peru. - A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Adversarial Generative Grammars for Human Activity Prediction. - Hannes Thaller, Lukas Linsbauer, Brent van Bladel, Alexander Egyed:
Semantic Clone Detection via Probabilistic Software Modeling. - Song Fang, Quanyan Zhu:
Channel Leakage and Fundamental Limits of Privacy Leakage for Streaming Data. - Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto:
Visual Imitation Made Easy. - Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Learning to See Through Obstructions with Layered Decomposition. - Jiaxiang Wang, Kunyong Chen:
Automatic assembly of aero engine low pressure turbine shaft based on 3D vision measurement. - Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla:
PX-NET: Simple, Efficient Pixel-Wise Training of Photometric Stereo Networks. - Brian Thompson, Matt Post:
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity. - Zsolt István, Soujanya Ponnapalli, Vijay Chidambaram:
Towards Software-Defined Data Protection: GDPR Compliance at the Storage Layer is Within Reach. - Joseph Cleveland, Derek Cheng, Michael Zhou, Thorsten Joachims, Douglas R. Turnbull:
Content-based Music Similarity with Triplet Networks. - Girik Malik, Ish K. Gulati:
Little Motion, Big Results: Using Motion Magnification to Reveal Subtle Tremors in Infants. - Satyandra Guthula, Sunil Simon, Harish Karnick:
Analysis of Agricultural Policy Recommendations using Multi-Agent Systems. - Jean-Gabriel Young, Giovanni Petri, Tiago P. Peixoto:
Hypergraph reconstruction from network data. - Steffen Pottel, Asvin Goel:
Scheduling activities with time-dependent durations and resource consumptions. - Conrad Zorn, Elco Koks, Sven Eggimann:
Demand side management impacts on electricity network vulnerability. - Mark Sandler, Andrey Zhmoginov, Liangcheng Luo, Alexander Mordvintsev, Ettore Randazzo, Blaise Agüera y Arcas:
Image segmentation via Cellular Automata. - Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang:
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene. - Amirhossein Moosavi, Onur Ozturk:
Metaheuristics for the operating theater planning and scheduling: A systematic review. - Athar Khodabakhsh, Sule Yildirim Yayilgan:
Data Privacy in IoT Equipped Future Smart Homes. - Tianchen Ji, Katherine Rose Driggs-Campbell:
Robust Model Predictive Control with Recursive State Estimation under Set-Membership Uncertainty. - Rui Liu, Alex Olshevsky:
Asymptotic Convergence Rate of Alternating Minimization for Rank One Matrix Completion. - Tengyang Xie, Nan Jiang:
Batch Value-function Approximation with Only Realizability. - Raul Gomez, Yahui Liu, Marco De Nadai, Dimosthenis Karatzas, Bruno Lepri, Nicu Sebe:
Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation. - Zsolt Gazdag, Károly Hajagos, Szabolcs Iván:
On the number of useful objects in P systems with active membranes. - Keqi Wang, Wencen Wu, Wei Xie, Jinxiang Pei, Qi Zhou:
Blockchain-Enabled Internet-of-Things Platform for End-to-End Industrial Hemp Supply Chain. - Faegheh Sardari, Adeline Paiement, Sion L. Hannuna, Majid Mirmehdi:
VI-Net: View-Invariant Quality of Human Movement Assessment. - Shyam A. Tailor, Javier Fernández-Marqués, Nicholas D. Lane:
Degree-Quant: Quantization-Aware Training for Graph Neural Networks. - Shaojie Tang:
Beyond Pointwise Submodularity: Non-Monotone Adaptive Submodular Maximization in Linear Time. - Xiaomei Bai, Fuli Zhang, Ivan Lee:
Predicting the Citations of Scholarly Paper. - Fouzi Harrag, Selmene Gueliani:
Event Extraction Based on Deep Learning in Food Hazard Arabic Texts. - Bianca Minetto Napoleão, Fábio Petrillo, Sylvain Hallé:
Open Source Software Development Process: A Systematic Review. - Sabah Al-Fedaghi:
Changes, States, and Events: The Thread from Staticity to Dynamism in the Conceptual Modeling of Systems. - Alexander Richard, Colin Lea, Shugao Ma, Juergen Gall, Fernando De la Torre, Yaser Sheikh:
Audio- and Gaze-driven Facial Animation of Codec Avatars. - Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju:
How Much Should I Trust You? Modeling Uncertainty of Black Box Explanations. - Jiangbo Si, Zan Li, Julian Cheng, Lei Guan, Jia Shi, Naofal Al-Dhahir:
Covert Transmission Assisted by Intelligent Reflecting Surface. - Garrison L. H. Johnston, Andrew L. Orekhov, Nabil Simaan:
Kinematic Modeling and Compliance Modulation of Redundant Manipulators Under Bracing Constraints. - Basheer Qolomany, Ihab Mohammed, Ala I. Al-Fuqaha, Mohsen Guizani, Junaid Qadir:
Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services. - Hengnian Qi, Xiaoping Wu, Naixue Xiong:
An Intelligent Prediction System for Mobile Source Localization Using Time Delay Measurements. - Thomas Hardjono:
Trust Infrastructures for Virtual Asset Service Providers. - Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao:
Distantly Supervised Relation Extraction in Federated Settings. - Sisi Ma, Roshan Tourani:
Predictive and Causal Implications of using Shapley Value for Model Interpretation. - Hee-Seung Moon, Jiwon Seo:
Sample-Efficient Training of Robotic Guide Using Human Path Prediction Network. - Prachya Boonkwan, Vorapon Luantangsrisuk, Sitthaa Phaholphinyo, Kanyanat Kriengket, Dhanon Leenoi, Charun Phrombut, Monthika Boriboon, Krit Kosawat, Thepchai Supnithi:
The Annotation Guideline of LST20 Corpus. - Borna Besic, Abhinav Valada:
Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning. - Justin Holmgren, Ran Raz:
A Parallel Repetition Theorem for the GHZ Game. - Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh:
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. - Praveen Damacharla, Parashar Dhakal, Sebastian Stumbo, Ahmad Y. Javaid, Subhashini Ganapathy, David A. Malek, Douglas C. Hodge, Vijay Kumar Devabhaktuni:
Effects of Voice-Based Synthetic Assistant on Performance of Emergency Care Provider in Training. - Hang Yang, Xiaotian Wu, Xinglong Sun:
Select Good Regions for Deblurring based on Convolutional Neural Networks. - Feng Shu, Jiayu Li, Mengxing Huang, Weiping Shi, Yin Teng, Jun Li, Yongpeng Wu, Jiangzhou Wang:
Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS. - Jinming Wen, Rui Zhang, Wei Yu:
Signal-Dependent Performance Analysis of Orthogonal Matching Pursuit for Exact Sparse Recovery. - Liang Yu, Shuqi Qin, Meng Zhang, Chao Shen, Tao Jiang, Xiaohong Guan:
Deep Reinforcement Learning for Smart Building Energy Management: A Survey. - Lixin Yang, Jiasen Li, Wenqiang Xu, Yiqun Diao, Cewu Lu:
BiHand: Recovering Hand Mesh with Multi-stage Bisected Hourglass Networks. - Julie Iskander, Mohammed Hossny:
An ocular biomechanics environment for reinforcement learning. - Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung:
Quaternion Graph Neural Networks. - Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang:
Learning to Caricature via Semantic Shape Transform. - Jinchi Chen, Weiguo Gao, Sihan Mao, Ke Wei:
Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources. - Jianye Pang, Kai Yi, Wanguang Yin, Min Xu:
Experimental Analysis of Legendre Decomposition in Machine Learning. - Xiaolin Zhang, Yunchao Wei, Yi Yang:
Inter-Image Communication for Weakly Supervised Localization. - Peng Chen, Bohan Zhuang, Chunhua Shen:
FATNN: Fast and Accurate Ternary Neural Networks. - Supratik Chakraborty, Aditya A. Shrotri, Moshe Y. Vardi:
On Uniformly Sampling Traces of a Transition System (Extended Version). - Xingxing Xiao, Jianzhong Li:
Sampling Based Approximate Skyline Calculation on Big Data. - Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer:
Local Temperature Scaling for Probability Calibration. - Ray Li:
Improved SETH-hardness of unweighted Diameter. - Juyong Zhang, Keyu Chen, Jianmin Zheng:
Facial Expression Retargeting from Human to Avatar Made Easy. - Jacob J. Johnson, Linjun Li, Fei Liu, Ahmed Hussain Qureshi, Michael C. Yip:
Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots. - Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan:
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. - Manuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini:
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers. - Irfan Ahmad Khan, Anshul Agarwal:
Comments on Mathematical Modeling of Current Source Matrix Converter with Venturini and SVM. - Xin Sun, Chi Zhang, Guosheng Lin, Keck Voon Ling:
Open Set Recognition with Conditional Probabilistic Generative Models. - Yilei Zeng, Deren Lei, Beichen Li, Gangrong Jiang, Emilio Ferrara, Michael Zyda:
Learning to Reason in Round-based Games: Multi-task Sequence Generation for Purchasing Decision Making in First-person Shooters. - Jieshan Chen, Mulong Xie, Zhenchang Xing, Chunyang Chen, Xiwei Xu, Liming Zhu, Guoqiang Li:
Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination? - Zhenxing Cheng, Hu Wang, Gui-Rong Liu, Guangyao Li:
Molecular dynamics simulation of crack growth in mono-crystal nickel with voids and inclusions. - Kijung Kim:
The Italian bondage and reinforcement numbers of digraphs. - Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji:
Coded Elastic Computing on Machines with Heterogeneous Storage and Computation Speed. - Kasper Green Larsen, Jonathan Lindegaard Starup, Jesper Steensgaard:
Further Unifying the Landscape of Cell Probe Lower Bounds. - Hanwen Cao, Yongyi Lu, Cewu Lu, Bo Pang, Gongshen Liu, Alan L. Yuille:
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. - Chaithanya K. Donda, Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan:
Identification of MISO systems in Minimal Realization Form. - Meng Wei, Chun Yuan, Xiaoyu Yue, Kuo Zhong:
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation. - Di Qiu, Jin Zeng, Zhanghan Ke, Wenxiu Sun, Chengxi Yang:
Towards Geometry Guided Neural Relighting with Flash Photography. - Sungho Yoon, Ayoung Kim:
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP. - Leevi Rantala, Mika Mäntylä, David Lo:
Prevalence, Contents and Automatic Detection of KL-SATD. - Muhammad Karam Shehzad, Jam Muhammad Yousif, Muhammad Saqib Ilyas, Adnan Iqbal:
The network footprint of replication in popular DBMSs. - Albert Benveniste, Benoît Caillaud, Mathias Malandain:
The Mathematical Foundations of Physical Systems Modeling Languages. - Erich Schubert, Peter J. Rousseeuw:
Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms. - Jens Hahne, Stephanie Friedhoff, Matthias Bolten:
PyMGRIT: A Python Package for the parallel-in-time method MGRIT. - Yilin Huang, Christophe Billen:
Information Verification for Humanitarians: A Critical Review. - Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis. - Alexander Gellner, Sebastian Lamm, Christian Schulz, Darren Strash, Bogdán Zaválnij:
Boosting Data Reduction for the Maximum Weight Independent Set Problem Using Increasing Transformations. - Shengcheng Yu, Chunrong Fang, Yexiao Yun, Yang Feng, Zhenyu Chen:
Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing. - Latif U. Khan, Walid Saad, Zhu Han, Choong Seon Hong:
Dispersed Federated Learning: Vision, Taxonomy, and Future Directions. - Isaiah Onando Mulang', Kuldeep Singh, Chaitali Prabhu, Abhishek Nadgeri, Johannes Hoffart, Jens Lehmann:
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models. - Yongge Yang, Yu-Ching Lee, Po-An Chen:
Competitive Demand Learning: a Data-Driven Pricing Algorithm. - Wenjing Yan, Shan Li, Chengtao Que, JiQuan Pei, Weihong Deng:
RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations. - Qihao Zhu, Zeyu Sun, Xiran Liang, Yingfei Xiong, Lu Zhang:
OCoR: An Overlapping-Aware Code Retriever. - Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang:
Representative Graph Neural Network. - (Withdrawn) The Wisdom and Persuadability of Threads.
- Iason Katsamenis, Eftychios Protopapadakis, Anastasios D. Doulamis, Nikolaos Doulamis, Athanasios Voulodimos:
Pixel-level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour Segmentation. - Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart:
Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. - Heechang Ryu, Hayong Shin, Jinkyoo Park:
REMAX: Relational Representation for Multi-Agent Exploration. - Manish Gupta, Puneet Agrawal:
Compression of Deep Learning Models for Text: A Survey. - Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu:
A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images. - Haidar Mohamad, Marcel Oliver:
High-order uniformly accurate time integrators for semilinear wave equations of Klein-Gordon type in the non-relativistic limit. - Jugoslav Stojcheski, Valkyrie Felso, Falk Lieder:
Optimal to-do list gamification. - Wenqing Liu, Miaojing Shi, Teddy Furon, Li Li:
Defending Adversarial Examples via DNN Bottleneck Reinforcement. - Nicola Messina, Giuseppe Amato, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet:
Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders. - Gregor Cerar, Halil Yetgin, Carolina Fortuna:
Learning to Detect Anomalous Wireless Links in IoT Networks. - Niklas Lüdemann, Ageda Shiba, Nikolaos Thymianis, Nicolas Heist, Christopher Ludwig, Heiko Paulheim:
A Knowledge Graph for Assessing Agressive Tax Planning Strategies. - Elizabeth A. Stone, Nathan F. Lepora, David A. W. Barton:
Walking on TacTip toes: A tactile sensing foot for walking robots. - Markus Heinrich, Arwed Gölz, Tolga Arul, Stefan Katzenbeisser:
Rule-based Anomaly Detection for Railway Signalling Networks. - Myoungha Song, Jeongho Lee, Dong Hwan Kim:
PAM: Point-wise Attention Module for 6D Object Pose Estimation. - Francesco Di Lauro, István Zoltán Kiss, Daniela Rus, Cosimo Della Santina:
Trajectory Tracking of Optimal Social Distancing Strategies with Application to a CoVid-19 Scenario. - Alex Serban, Erik Poll, Joost Visser:
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise. - Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto:
Null-sampling for Interpretable and Fair Representations. - Nam Hong Nguyen, My Anh Vu, Dinh Van Bui, Anh Ngoc Ta, Manh Duc Hy:
Optimizing fire allocation in a NCW-type model. - Marco Ewerton, Oleg Arenz, Jan Peters:
Assisted Teleoperation in Changing Environments with a Mixture of Virtual Guides. - G. Radenkovic, A. Borkovic, Benjamin Marussig:
Nonlinear static isogeometric analysis of arbitrarily curved Kirchhoff-Love shells. - Zichuan Xu, Jiangkai Wu, Qiufen Xia, Pan Zhou, Jiankang Ren, Huizhi Liang:
Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds. - Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W. H. Lau:
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning. - Tracie Farrell, Genevieve Gorrell, Kalina Bontcheva:
Vindication, Virtue and Vitriol: A study of online engagement and abuse toward British MPs during the COVID-19 Pandemic. - Alexandros Haridis:
The Topology of Shapes Made with Points. - Gillian Bolsover, Janet Tokitsu Tizon:
Social Media and Health Misinformation during the US COVID Crisis. - Zhenyu Liu, Chaohong Lu, Haiwei Huang, Shengfei Lyu, Zhenchao Tao:
Text Classification based on Multi-granularity Attention Hybrid Neural Network. - Md Shihabul Islam, Mustafa Safa Özdayi, Latifur Khan, Murat Kantarcioglu:
Secure IoT Data Analytics in Cloud via Intel SGX. - Unnikrishnan Menon, Atharva Hudlikar, Divyani Panda:
Scytale - An Evolutionary Cryptosystem. - Franco Alberto Cardillo, Umberto Straccia:
Fuzzy OWL-BOOST: Learning Fuzzy Concept Inclusions via Real-Valued Boosting. - Vasileios Kouliaridis, Georgios Kambourakis, Tao Peng:
Feature importance in mobile malware detection. - Divya Siddarth, Sergey Ivliev, Santiago Siri, Paula Berman:
Who Watches the Watchmen? A Review of Subjective Approaches for Sybil-resistance in Proof of Personhood Protocols. - Maryam Alimardani, Linda Kemmeren, Kazuki Okumura, Kazuo Hiraki:
Robot-Assisted Mindfulness Practice: Analysis of Neurophysiological Responses and Affective State Change. - Arbaz Khan, Pietro Zanotti:
A nonsymmetric approach and a quasi-optimal and robust discretization for the Biot's model. Part I - Theoretical aspects. - Johannes Pöschmann, Tim Pfeifer, Peter Protzel:
Factor Graph based 3D Multi-Object Tracking in Point Clouds. - Yibo Hu, Xiang Wu, Ran He:
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search. - Peng Xu, Gaojie Chen, Zheng Yang, Marco Di Renzo:
Reconfigurable Intelligent Surfaces Assisted Communications with Discrete Phase Shifts: How Many Quantization Levels are Required to Achieve Full Diversity? - Hanz Richter, Holly Warner:
Motion Optimization for Musculoskeletal Dynamics: A Flatness-Based Polynomial Approach. - Liang Chen:
Variance-reduced Language Pretraining via a Mask Proposal Network. - Alessandro Cimatti, Luca Geatti, Nicola Gigante, Angelo Montanari, Stefano Tonetta:
Reactive Synthesis from Extended Bounded Response LTL Specifications. - Paul L. Rosin, Yu-Kun Lai:
Image-based Portrait Engraving. - Till Hoffmann, Nick S. Jones:
Inference of a universal social scale and segregation measures using social connectivity kernels. - Shuyang Ling:
Near-Optimal Performance Bounds for Orthogonal and Permutation Group Synchronization via Spectral Methods. - Pinzhen Chen, Kenneth Heafield:
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task. - (Withdrawn) On inner iterations of the joint bidiagonalization based algorithms for solving large scale linear discrete ill-posed problems.
- Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Shuqiang Jiang:
LogoDet-3K: A Large-Scale Image Dataset for Logo Detection. - Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury:
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. - Amir Averbuch, Pekka Neittaanmäki, Valery A. Zheludev:
Directional wavelet packets originating from polynomial splines. - David Dehaene, Pierre Eline:
Anomaly localization by modeling perceptual features. - Shyam A. Tailor, Jagmohan Chauhan, Cecilia Mascolo:
A First Step Towards On-Device Monitoring of Body Sounds in the Wild. - Abdelrahman Abdallah, Mohamed Hamada, Daniyar B. Nurseitov:
Attention-based Fully Gated CNN-BGRU for Russian Handwritten Text. - Marek Cygan, Magnús M. Halldórsson, Guy Kortsarz:
Tight Bounds on Subexponential Time Approximation of Set Cover and Related Problems. - Shashank Manjunath, Aitzaz Nathaniel, Jeff Druce, Stan German:
Improving the Performance of Fine-Grain Image Classifiers via Generative Data Augmentation. - Moojan Ghafurian, Colin Ellard, Kerstin Dautenhahn:
Social Companion Robots to Reduce Isolation: A Perception Change Due to COVID-19. - Yuting Liu, Zheng Wang, Miaojing Shi, Shin'ichi Satoh, Qijun Zhao, Hongyu Yang:
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer. - Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan:
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint. - Feng Xia, Hannan Bin Liaqat, Jing Deng, Jiafu Wan, Sajal K. Das:
Overhead Control with Reliable Transmission of Popular Packets in Ad-Hoc Social Networks. - Feng Xia, Hannan Bin Liaqat, Ahmedin Mohammed Ahmed, Li Liu, Jianhua Ma, Runhe Huang, Amr Tolba:
User Popularity-based Packet Scheduling for Congestion Control in Ad-hoc Social Networks. - Chenglizhao Chen, Hongmeng Zhao, Huan Yang, Chong Peng, Teng Yu:
Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity. - Zhenyu Wu, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin:
Rethinking of the Image Salient Object Detection: Object-level Semantic Saliency Re-ranking First, Pixel-wise Saliency Refinement Latter. - Gerth Stølting Brodal:
Soft Sequence Heaps. - Ziwei Fan, Evan Burgun, Zhiyun Ren, Titus Schleyer, Xia Ning:
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering. - Mourad A. Kenk, Mahmoud Hassaballah:
DAWN: Vehicle Detection in Adverse Weather Nature Dataset. - Daniel Fernandes Gomes, Zhonglin Lin, Shan Luo:
GelTip: A Finger-shaped Optical Tactile Sensor for Robotic Manipulation. - A. Torres-Hernandez, F. Brambila-Paz, J. J. Brambila:
A nonlinear system related to investment under uncertainty solved using the fractional pseudo-Newton method. - Youssef Alami Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii:
Look here! A parametric learning based approach to redirect visual attention. - Dongjiang Li, Xuesong Shi, Qiwei Long, Shenghui Liu, Wei Yang, Fangshi Wang, Qi Wei, Fei Qiao:
DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features. - Stefan Hoffmann:
State Complexity Bounds for Shuffle and Iterated Shuffle Combined with the Commutative Closure on Group Languages. - Karthik C. S., Merav Parter:
Deterministic Replacement Path Covering. - Stephen Metcalfe, Siva Nadarajah:
A robust quasi-optimal test norm for a DPG discretization of the convection-diffusion equation. - Kostas Kolomvatsos, Christos Anagnostopoulos:
An Intelligent Edge-Centric Queries Allocation Scheme based on Ensemble Models. - Johnny Guzmán, Anna Lischke, Michael Neilan:
Exact sequences on Worsey-Farin Splits. - Meraj Hashemizadeh, Michelle Liu, Jacob Miller, Guillaume Rabusseau:
Adaptive Tensor Learning with Tensor Networks. - Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao:
DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry. - Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki:
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network. - Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet:
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean. - Peter J. Baddoo:
The AAAtrig algorithm for rational approximation of periodic functions. - Gerardo Canfora, Andrea Di Sorbo, Sonia Laudanna, Anna Vacca, Corrado Aaron Visaggio:
GasMet: Profiling Gas Leaks in the Deployment of Solidity Smart Contracts. - Mohammad Esmaeilpour, Raymel Alfonso Sallo, Olivier St-Georges, Patrick Cardinal, Alessandro Lameiras Koerich:
Improving Stability of LS-GANs for Audio and Speech Signals. - Sakshi Mishra, Kate Anderson:
Probabilistic Resilience of DER systems - A Simulation Assisted Optimization Approach. - Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang:
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification. - Jun Qi, Jun Du, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee:
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression. - Will Trojak, Freddie D. Witherden:
On Fourier analysis of polynomial multigrid for arbitrary multi-stage cycles. - Armando Maciel Toda, Ana Carolina Tomé Klock, Wilk Oliveira, Paula Toledo Palomino, Luiz A. L. Rodrigues, Lei Shi, Ig Ibert Bittencourt, Isabela Gasparini, Seiji Isotani, Alexandra I. Cristea:
Analysing gamification elements in educational environments using an existing Gamification taxonomy. - Zeeshan Ahmad, Naimul Mefraz Khan:
Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal. - Pierre Aboulker, Isolde Adler, Eun Jung Kim, Ni Luh Dewi Sintiari, Nicolas Trotignon:
On the tree-width of even-hole-free graphs. - Tiffany D. Do, Joseph J. LaViola Jr., Ryan P. McMahan:
The Effects of Object Shape, Fidelity, Color, and Luminance on Depth Perception in Handheld Mobile Augmented Reality. - Arthur Selle Jacobs, Ricardo José Pfitscher, Ronaldo Alves Ferreira, Lisandro Zambenedetti Granville:
Refining Network Intents for Self-Driving Networks. - Qiqi Ren, Jian Chen, Omid Abbasi, Gunes Karabulut-Kurt, Halim Yanikomeroglu, F. Richard Yu:
An Application-Driven Non-Orthogonal Multiple Access Enabled Computation Offloading Scheme. - Gernot Riegler, Vladlen Koltun:
Free View Synthesis. - Simin Wang, Liguo Huang, Jidong Ge, Tengfei Zhang, Haitao Feng, Ming Li, He Zhang, Vincent Ng:
Synergy between Machine/Deep Learning and Software Engineering: How Far Are We? - Paula Gradu, John Hallman, Elad Hazan:
Non-Stochastic Control with Bandit Feedback. - Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Feris, Abir Das:
Mitigating Dataset Imbalance via Joint Generation and Classification. - Ajwad Akil, Ishrat Jahan Eliza, Md. Hasibul Hussain Hisham, Fahim Morshed, Nazmus Sakib, Nuwaisir Rabi, Abir Mohammad Turza, Sriram Chellappan, A. B. M. Alim Al Islam:
The Past, Present, and Future of COVID-19: A Data-Driven Perspective. - Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning. - Gabriel Villalonga, Antonio M. López:
Co-training for On-board Deep Object Detection. - Sheng Li, Maxim Egorov, Mykel J. Kochenderfer:
Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations. - Rahul Singh, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto:
Model Robustness with Text Classification: Semantic-preserving adversarial attacks. - Vaivaswatha Nagaraj, Jacob Johannsen, Anton Trunov, George Pîrlea, Amrit Kumar, Ilya Sergey:
Compiling a Higher-Order Smart Contract Language to LLVM. - Arthur Argenson, Gabriel Dulac-Arnold:
Model-Based Offline Planning. - Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Joseph Henry, Paul Thomson, Nassir Navab:
Continual Class Incremental Learning for CT Thoracic Segmentation. - Geoff Boeing:
The Right Tools for the Job: The Case for Spatial Science Tool-Building. - Bita Houshmand, Naimul Mefraz Khan:
Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning. - Anika Tabassum, Naimul Mefraz Khan:
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks. - Till Niese, Sören Pirk, Matthias Albrecht, Bedrich Benes, Oliver Deussen:
Procedural Urban Forestry. - David G. Harris, Fotis Iliopoulos, Vladimir Kolmogorov:
A new notion of commutativity for the algorithmic Lovász Local Lemma. - Siwei Zhang, Yan Zhang, Qianli Ma, Michael J. Black, Siyu Tang:
Generating Person-Scene Interactions in 3D Scenes. - Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot:
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations. - Swayamjit Saha, Niladri Majumder, Devansh Sangani:
Comprehensive forecasting based analysis using stacked stateless and stateful Gated Recurrent Unit models. - Ross Drummond, Yang Zheng:
Impact of Disturbances on Mixed Traffic Control with Autonomous Vehicles. - Abu Reyan Ahmed, Felice De Luca, Sabin Devkota, Stephen G. Kobourov, Mingwei Li:
Graph Drawing via Gradient Descent, (GD)2. - Zhili Zhang, Quanyan Zhu:
Deceptive Kernel Function on Observations of Discrete POMDP. - Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit:
Sequential recommendation with metric models based on frequent sequences. - Sixie Yu, Leonardo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik:
Optimizing Graph Structure for Targeted Diffusion. - Nishant Yadav, Sai Ravela, Auroop R. Ganguly:
Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling. - Julian Pape-Lange:
Cadences in Grammar-Compressed Strings. - Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva:
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos. - Aske Plaat, Walter A. Kosters, Mike Preuss:
Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey. - Udaya Pratap Singh:
A new operational matrix technique to solve linear boundary value problems. - Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. - Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer:
A clarification of misconceptions, myths and desired status of artificial intelligence. - Poria Pirozmand, Guowei Wu, Behrouz Jedari, Feng Xia:
Human Mobility in Opportunistic Networks: Characteristics, Models and Prediction Methods. - Moju Zhao, Tomoki Anzai, Fan Shi, Toshiya Maki, Takuzumi Nishio, Keita Ito, Naoya Kuromiya, Kei Okada, Masayuki Inaba:
Versatile Multilinked Aerial Robot with Tilting Propellers: Design, Modeling, Control and State Estimation for Autonomous Flight and Manipulation. - Chao Ma, Lei Wu, Weinan E:
The Slow Deterioration of the Generalization Error of the Random Feature Model. - Jianing Qian, Thomas Weng, Luxin Zhang, Brian Okorn, David Held:
Cloth Region Segmentation for Robust Grasp Selection. - Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. - Nicholas Woolsey, Xingyue Wang, Rong-Rong Chen, Mingyue Ji:
FLCD: A Flexible Low Complexity Design of Coded Distributed Computing. - Julian Gutierrez, Muhammad Najib, Giuseppe Perelli, Michael J. Wooldridge:
Automated Temporal Equilibrium Analysis: Verification and Synthesis of Multi-Player Games. - Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. - Julian Gutierrez, Aniello Murano, Giuseppe Perelli, Sasha Rubin, Thomas Steeples, Michael J. Wooldridge:
Equilibria for Games with Combined Qualitative and Quantitative Objectives. - Tong Yang, Long Sha, Justin Li, Pengyu Hong:
A Deep Learning Approach for COVID-19 Trend Prediction. - Sudipta Paul, Subhankar Mishra:
LAC : LSTM AUTOENCODER with Community for Insider Threat Detection. - Julian Gutierrez, Giuseppe Perelli, Michael J. Wooldridge:
Multi-Player Games with LDL Goals over Finite Traces. - Antares Chen, Jonathan Shi, Luca Trevisan:
Cut Sparsification of the Clique Beyond the Ramanujan Bound. - Homagni Saha, Sin Yong Tan, Ali Saffari, Mohamad Katanbaf, Joshua R. Smith, Soumik Sarkar:
Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras. - Weiqing Min, Linhu Liu, Zhiling Wang, Zhengdong Luo, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang:
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network. - Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian:
Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images. - Yiru Wang, Shen Huang, Gongfu Li, Qiang Deng, Dongliang Liao, Pengda Si, Yujiu Yang, Jin Xu:
Cognitive Representation Learning of Self-Media Online Article Quality. - Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell:
What Should Not Be Contrastive in Contrastive Learning. - Nathan Gavenski, Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros:
Imitating Unknown Policies via Exploration. - Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang:
Dialogue State Induction Using Neural Latent Variable Models. - Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce:
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. - Chen-Hsiu Huang, Ja-Ling Wu:
JQF: Optimal JPEG Quantization Table Fusion by Simulated Annealing on Texture Images and Predicting Textures. - Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou:
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. - M. H. Khalifeh, Abdol-Hossein Esfahanian:
Inset Edges Effect and Average Distance of Trees. - Jialian Wu, Liangchen Song, Tiancai Wang, Qian Zhang, Junsong Yuan:
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation. - M. H. Khalifeh, Abdol-Hossein Esfahanian:
Some Preliminary Result About the Inset Edge and Average Distance of Trees. - Dongfang Liu, Yiming Cui, Xiaolei Guo, Wei Ding, Baijian Yang, Yingjie Victor Chen:
Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze. - Amir Hussain Zolfaghari, Herbert Daly, Mahdi Nasiri, Roxana Sharifian:
Blockchain applications in Healthcare: A model for research. - P. Balasubramanian, Douglas L. Maskell, Nikos E. Mastorakis:
Area Optimized Quasi Delay Insensitive Majority Voter for TMR Applications. - Weituo Hao, Nikhil Mehta, Kevin J. Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin:
WAFFLe: Weight Anonymized Factorization for Federated Learning. - Kelly Mack, Danielle Bragg, Meredith Ringel Morris, Maarten W. Bos, Isabelle Albi, Andrés Monroy-Hernández:
Social App Accessibility for Deaf Signers. - Ozan Temiz, Melih Çakmakci, Yildiray Yildiz:
A Fault-Tolerant Integrated Vehicle Stability Control Using Adaptive Control Allocation. - Bochan Lee, Vishnu Saj, Moble Benedict, Dileep Kalathil:
A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS. - Rui Wang, Dhruv Mahajan, Vignesh Ramanathan:
What leads to generalization of object proposals? - Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini:
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? - Yichen Li, Xingchao Peng:
Network Architecture Search for Domain Adaptation. - Hao Huang, Jianchun Chen, Xiang Li, Lingjing Wang, Yi Fang:
Robust Image Matching By Dynamic Feature Selection. - Jonah Philion, Sanja Fidler:
Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D. - Vasudevan Rengasamy, Sathish Vadhiyar:
Strategies for Efficient Executions of Irregular Message-Driven Parallel Applications on GPU Systems. - Jai Aggarwal, Ella Rabinovich, Suzanne Stevenson:
Exploration of Gender Differences in COVID-19 Discourse on Reddit. - Keyu Chen, Jianmin Zheng, Jianfei Cai, Juyong Zhang:
Modeling Caricature Expressions by 3D Blendshape and Dynamic Texture. - Xixia Xu, Qi Zou, Xue Lin:
Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose Estimation. - Ashirbad Mishra, Sathish Vadhiyar, Rupesh Nasre, Keshav Pingali:
A Fine-Grained Hybrid CPU-GPU Algorithm for Betweenness Centrality Computations. - Taeoh Kim, Hyeongmin Lee, MyeongAh Cho, Ho Seong Lee, Dong Heon Cho, Sangyoun Lee:
Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition. - Yi-Fan Chung, Solmaz S. Kia:
Dynamic Active Average Consensus and its Application in Containment Control. - Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora:
Contextual Diversity for Active Learning. - Samir Datta, Anuj Tawari, Yadu Vasudev:
Dynamic Complexity of Expansion. - Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener:
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis. - Kenneth Lai, Svetlana N. Yanushkevich:
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition. - Redouane Douaifia, Samir Bendoukha, Salem Abdelmalek:
A Newton interpolation based predictor-corrector numerical method for fractional differential equations with an activator-inhibitor case study. - Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Reliability of Decision Support in Cross-spectral Biometric-enabled Systems. - Jiapeng Tang, Xiaoguang Han, Mingkui Tan, Xin Tong, Kui Jia:
SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images. - Istan Gergo Gal, Daniel Barath, Levente Hajder:
Pose Estimation for Vehicle-mounted Cameras via Horizontal and Vertical Planes. - Akash Gupta, Rameswar Panda, Sujoy Paul, Jianming Zhang, Amit K. Roy-Chowdhury:
Adversarial Knowledge Transfer from Unlabeled Data. - Cedric Le Gentil, Florian Tschopp, Ignacio Alzugaray, Teresa A. Vidal-Calleja, Roland Siegwart, Juan I. Nieto:
IDOL: A Framework for IMU-DVS Odometry using Lines. - Jan Lorenz Svensen, Hans Henrik Niemann, Anne Katrine Vinther Falk, Niels Kjølstad Poulsen:
Chance-Constrained Model Predictive Control A reformulated approach suitable for sewer networks. - Tadej Skvorc, Polona Gantar, Marko Robnik-Sikonja:
MICE: Mining Idioms with Contextual Embeddings. - Carlos Daniel Hernandez Mena, Albert Gatt, Andrea DeMarco, Claudia Borg, Lonneke van der Plas, Amanda Muscat, Ian Padovani:
MASRI-HEADSET: A Maltese Corpus for Speech Recognition. - Hugo Touvron, Matthijs Douze, Matthieu Cord, Hervé Jégou:
Powers of layers for image-to-image translation. - Jihun Oh, SangJeong Lee, Meejeong Park, Pooni Walagaurav, Kiseok Kwon:
Weight Equalizing Shift Scaler-Coupled Post-training Quantization. - Chen Li, Gim Hee Lee:
Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses. - Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye:
CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration. - Tianyi Ko:
A Tendon-driven Robot Gripper with Passively Switchable Underactuated Surface and its Physics Simulation Based Parameter Optimization. - Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Identifying candidate routines for Robotic Process Automation from unsegmented UI logs. - Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov:
Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings. - Marco Manfredi, Yu Wang:
Shift Equivariance in Object Detection. - Erik Scharwächter, Emmanuel Müller:
Statistical Evaluation of Anomaly Detectors for Sequences. - Ying Cheng, Ruize Wang, Zhihao Pan, Rui Feng, Yuejie Zhang:
Look, Listen, and Attend: Co-Attention Network for Self-Supervised Audio-Visual Representation Learning. - Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev, Anca Delia Jurcut:
Detecting Abnormal Traffic in Large-Scale Networks. - Xingwang Li, Mengle Zhao, Ming Zeng, Shahid Mumtaz, Varun G. Menon, Zhiguo Ding, Octavia A. Dobre:
Hardware Impaired Ambient Backscatter NOMA Systems: Reliability and Security. - Marcus M. Scheunemann, Raymond H. Cuijpers, Christoph Salge:
Warmth and Competence to Predict Human Preference of Robot Behavior in Physical Human-Robot Interaction. - Isolde Adler, Noleen Köhler, Pan Peng:
On Testability of First-Order Properties in Bounded-Degree Graphs. - Isolde Adler, Noleen Köhler:
On graphs of bounded degree that are far from being Hamiltonian. - João Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska:
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay. - Dell Zhang, Alexander Kuhnle, Julian Richardson, Murat Sensoy:
Process Discovery for Structured Program Synthesis. - Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi:
Small Towers Make Big Differences. - Dipjyoti Paul, P. V. Muhammed Shifas, Yannis Pantazis, Yannis Stylianou:
Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion. - Philip L. Lederer, Christian Merdon:
Guaranteed upper bounds for the velocity error of pressure-robust Stokes discretisations. - An Xu, Zhouyuan Huo, Heng Huang:
Training Faster with Compressed Gradient. - Thorsten Glüsenkamp:
Unifying supervised learning and VAEs - automating statistical inference in high-energy physics. - Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek:
Localizing the Common Action Among a Few Videos. - Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
On the Importance of Local Information in Transformer Based Models. - Hazel Murray, David Malone:
Costs and benefits of authentication advice. - Peter Hines:
A diagrammatic approach to information flow in encrypted communication (extended version). - Rahul Kumar Singh, Sanjeev Saxena:
On seat allocation problem with multiple merit lists. - Armando Maciel Toda, Paula Toledo Palomino, Luiz A. L. Rodrigues, Wilk Oliveira, Lei Shi, Seiji Isotani, Alexandra I. Cristea:
Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study. - Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea, Filipe D. Pereira, Elaine H. T. Oliveira, Lei Shi, Craig D. Stewart:
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities. - Lei Shi, Alexandra I. Cristea, Armando M. Toda, Wilk Oliveira:
Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students. - Feng Xia, Fangwei Ding, Jie Li, Xiangjie Kong, Laurence T. Yang, Jianhua Ma:
Phone2Cloud: Exploiting Computation Offloading for Energy Saving on Smartphones in Mobile Cloud Computing. - Feng Xia, Xuhai Zhao, Jianhui Zhang, Jianhua Ma, Xiangjie Kong:
BeeCup: A Bio-Inspired Energy-Efficient Clustering Protocol for Mobile Learning. - Oded Nov, Yindalon Aphinyanaphongs, Yvonne W. Lui, Devin M. Mann, Maurizio Porfiri, Mark O. Riedl, John-Ross Rizzo, Batia Mishan Wiesenfeld:
The Transformation of Patient-Clinician Relationships With AI-Based Medical Advice: A "Bring Your Own Algorithm" Era in Healthcare. - Hongyuan Yu, Yan Huang, Lihong Pi, Liang Wang:
Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation. - Thomas Fischbacher, Luciano Sbaiz:
Single-Photon Image Classification. - Kaidi Xu, Yunlong Cai, Min-Jian Zhao, Yong Niu, Lajos Hanzo:
MIMO-Aided Nonlinear Hybrid Transceiver Design for Multiuser mmWave Systems Relying on Tomlinson-Harashima Precoding. - Jiangliu Wang, Jianbo Jiao, Yun-Hui Liu:
Self-supervised Video Representation Learning by Pace Prediction. - Ming Fan, Le Yu, Sen Chen, Hao Zhou, Xiapu Luo, Shuyue Li, Yang Liu, Jun Liu, Ting Liu:
An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps. - Ming Tao, Hao Tang, Songsong Wu, Nicu Sebe, Fei Wu, Xiao-Yuan Jing:
DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis. - Jan Tepper, Aygün Baltaci, Bernd Schleicher, Andreas Drexler, Svetoslav Duhovnikov, Mustafa Özger, Morteza Tavana, Cicek Cavdar, Dominic Schupke:
Evaluation of RF Wireless Power Transfer for Low-Power Aircraft Sensors. - Anna Sebernegg, Peter Kán, Hannes Kaufmann:
Motion Similarity Modeling - A State of the Art Report. - Sakshi Mishra, Josiah Pohl, Nick Laws, Dylan Cutler, Ted Kwasnik, William Becker, Alex Zolan, Kate Anderson, Dan Olis, Emma Elgqvist:
Computational Framework for Behind-The-Meter DER Techno-Economic Modeling and Optimization - REopt Lite. - Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He:
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. - Jiyao Li, Vicki H. Allan:
Balancing Taxi Distribution in City-Scale Dynamic Ridesharing Service: A Hybrid Solution Based on Demand Learning. - Quan Meng, Jiakai Zhang, Qiang Hu, Xuming He, Jingyi Yu:
LGNN: A Context-aware Line Segment Detector. - Ming Fan, Wenying Wei, Xiaofei Xie, Yang Liu, Xiaohong Guan, Ting Liu:
Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis. - Ninghan Chen, Zhiqiang Zhong, Jun Pang:
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. - Md Fahimuzzman Sohan:
So You Need Datasets for Your COVID-19 Detection Research Using Machine Learning? - Janet Rafner, Arthur Hjorth, Sebastian Risi, Lotte Philipsen, Charles Dumas, Michael Mose Biskjær, Lior Noy, Kristian Tylén, Carsten Bergenholtz, Jesse Lynch, Blanka Zana, Jacob Friis Sherson:
crea.blender: A Neural Network-Based Image Generation Game to Assess Creativity. - Yue Qi, Mojtaba Vaezi:
Secure Transmission in MIMO-NOMA Networks. - Xingxun Jiang, Yuan Zong, Wenming Zheng, Chuangao Tang, Wanchuang Xia, Cheng Lu, Jiateng Liu:
DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild. - Cunxiang Wang, Jinhang Wu, Luxin Liu, Yue Zhang:
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why? - Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun:
End-to-end Contextual Perception and Prediction with Interaction Transformer. - Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun:
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. - Vincenzo Bonnici:
A maximum value for the Kullback-Leibler divergence between quantum discrete distributions. - Weisi Luo, Dong Chai, Xiaoyue Run, Jiang Wang, Chunrong Fang, Zhenyu Chen:
Graph-Based Fuzz Testing for Deep Learning Inference Engine. - Francesco Secci, Andrea Ceccarelli:
On failures of RGB cameras and their effects in autonomous driving applications. - Canhui Wang, Xiaowen Chu:
Performance Characterization and Bottleneck Analysis of Hyperledger Fabric. - Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani:
Learning Stability Certificates from Data. - Mona Jalal, Josef B. Spjut, Ben Boudaoud, Margrit Betke:
SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors. - Antoine Rondelet:
Zecale: Reconciling Privacy and Scalability on Ethereum. - Philippe Esling, Ninon Devis:
Creativity in the era of artificial intelligence. - Manaar Alam, Sayandeep Saha, Debdeep Mukhopadhyay, Sandip Kundu:
Deep-Lock: Secure Authorization for Deep Neural Networks. - Tong Yang, Long Sha, Pengyu Hong:
Variance Regularization for Accelerating Stochastic Optimization. - Pramod Vadiraja, Muhammad Ali Chattha:
A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models. - Ling-An Zeng, Fa-Ting Hong, Wei-Shi Zheng, Qi-Zhi Yu, Wei Zeng, Yao-Wei Wang, Jian-Huang Lai:
Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos. - Kanav Anand, Ziqi Wang, Marco Loog, Jan van Gemert:
Black Magic in Deep Learning: How Human Skill Impacts Network Training. - Elena Arcari, Andrea Carron, Melanie N. Zeilinger:
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations. - Zhen Yu Ding, Benjamin Khakshoor, Justin Paglierani, Mantej Rajpal:
Sniffing for Codebase Secret Leaks with Known Production Secrets in Industry. - Frédéric Marazzato, Alexandre Ern, Christian Mariotti, Laurent Monasse:
An explicit pseudo-energy conserving time-integration scheme for Hamiltonian dynamics. - Sohaib ul Hassan, Iaroslav Gridin, Ignacio M. Delgado-Lozano, Cesar Pereida García, Jesús-Javier Chi-Domínguez, Alejandro Cabrera Aldaya, Billy Bob Brumley:
Déjà Vu: Side-Channel Analysis of Mozilla's NSS. - James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian:
Analyzing Who and What Appears in a Decade of US Cable TV News. - Eleonora Dagiene:
Prestige of scholarly book publishers: an investigation into criteria, processes, and practices across countries. - Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun:
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. - Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli:
BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions. - Nicolas P. Rougier:
On the design of text editors. - Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu:
Towards Visually Explaining Similarity Models. - Yonathan Efroni, Nadav Merlis, Shie Mannor:
Reinforcement Learning with Trajectory Feedback. - Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun:
DSDNet: Deep Structured self-Driving Network. - Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn:
Offline Meta-Reinforcement Learning with Advantage Weighting. - Chris Rockwell, David F. Fouhey:
Full-Body Awareness from Partial Observations. - Jeffrey Ens, Philippe Pasquier:
MMM : Exploring Conditional Multi-Track Music Generation with the Transformer. - Riccardo Franco:
Constructed emotions and superinformation: a constructor-theoretic approach. - Omid Taghizadeh, Slawomir Stanczak, Hiroki Iimori, Giuseppe Abreu:
Full-Duplex Amplify-and-Forward MIMO Relaying: Impairments Aware Design and Performance Analysis. - Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro:
Semantically Adversarial Learnable Filters. - Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, Marcus Dominguez-Kuhne, Animesh Garg, Roberto Martín-Martín, Silvio Savarese:
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter. - Francielle Alves Vargas, Thiago Alexandre Salgueiro Pardo:
Studying Dishonest Intentions in Brazilian Portuguese Texts. - Jiameng Fan, Wenchao Li:
Adversarial Training and Provable Robustness: A Tale of Two Objectives. - Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan:
Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs. - Cheuk Ting Li:
Infinite Divisibility of Information. - Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib:
Novelty Detection Through Model-Based Characterization of Neural Networks. - Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loïc Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary:
Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface. - David Baum, Stefan Bechert, Ulrich W. Eisenecker, Isabelle Meichsner, Richard Müller:
Identifying Usability Issues of Software Analytics Applications in Immersive Augmented Reality. - Xiangyu Guo, Janardhan Kulkarni, Shi Li, Jiayi Xian:
Consistent k-Median: Simpler, Better and Robust. - Manuel Maarek, Léon McGregor:
Development of a Web Platform for Code Peer-Testing. - Mustafa Akin Yilmaz, Ahmet Murat Tekalp:
Effect of Architectures and Training Methods on the Performance of Learned Video Frame Prediction. - Nima Akbarzadeh, Aditya Mahajan:
Restless bandits: indexability and computation of Whittle index. - Onur Mutlu:
Intelligent Architectures for Intelligent Machines. - Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc Le:
Can weight sharing outperform random architecture search? An investigation with TuNAS. - Lajos Lóczi:
Explicit and recursive estimates of the Lambert W function. - Stav Yanovsky, Nicholas Hoernle, Omer Lev, Kobi Gal:
One Size Does Not Fit All: A Study of Badge Behavior in Stack Overflow. - Andres Cotorruelo, Ilya V. Kolmanovsky, Emanuele Garone:
A Sum-of-Squares-Based Procedure to Approximate the Pontryagin Difference of Semialgebraic Sets. - Francisco M. Bersetche, Juan Pablo Borthagaray:
Finite element approximation of fractional Neumann problems. - Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros, Bernd G. Pfrommer, Marc F. Schmidt, Kostas Daniilidis:
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View. - Dening Luo:
Interactive volume illumination of slice-based ray casting. - Hongmei He, Mengyuan Chen, Gang Xu, Zhilong Zhu, Zhenhuan Zhu:
Learnability and Robustness of Shallow Neural Networks Learned With a Performance-Driven BP and a Variant PSO For Edge Decision-Making. - Mehdi Monemi, Hina Tabassum:
Performance of UAV-assisted D2D Networks in the Finite Block-length Regime. - Trevor Avant, Kristi A. Morgansen:
Analytical bounds on the local Lipschitz constants of affine-ReLU functions. - Vasileios Klimis, George Parisis, Bernhard Reus:
Model Checking Software-Defined Networks with Flow Entries that Time Out. - Kazuichi Oe:
Consideration for effectively handling parallel workloads on public cloud system. - Takao Miki, Takayuki Yamada:
Topology optimization for considering distortion in additive manufacturing. - Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li, Lijun Sun:
On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic. - Noha Hassan, Md. Tanvir Hossan, Hina Tabassum:
User Association in Coexisting RF and TeraHertz Networks in 6G. - Yixuan Wang, Chao Huang, Qi Zhu:
Energy-Efficient Control Adaptation with Safety Guarantees for Learning-Enabled Cyber-Physical Systems. - Tiantian Ji, Binxing Fang, Xiang Cui, Zhongru Wang, Jiawen Diao, Tian Wang, Weiqiang Yu:
First Step Towards Modeling Unbreakable Malware. - Ioannis Avramopoulos:
A polynomial algorithm for the maximum clique. - Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi:
Privacy Preserving Vertical Federated Learning for Tree-based Models. - Milind Rao, Anirudh Raju, Pranav Dheram, Bach Bui, Ariya Rastrow:
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces. - Ye Bi, Shuo Wang, Zhongrui Fan:
A Hybrid BERT and LightGBM based Model for Predicting Emotion GIF Categories on Twitter. - Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan:
PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly. - Ye Bi, Shuo Wang, Zhongrui Fan:
A Multimodal Late Fusion Model for E-Commerce Product Classification. - Sohei Itahara, Takayuki Nishio, Yusuke Koda, Masahiro Morikura, Koji Yamamoto:
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data. - Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Apparel-invariant Feature Learning for Apparel-changed Person Re-identification. - Syed Ali Hassan, Tariq Rahim, Soo Young Shin:
An Improved Deep Convolutional Neural Network-Based Autonomous Road Inspection Scheme Using Unmanned Aerial Vehicles. - Hengyi Liang, Zhilu Wang, Ruochen Jiao, Qi Zhu:
Leveraging Weakly-hard Constraints for Improving System Fault Tolerance with Functional and Timing Guarantees. - Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang:
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. - Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun:
Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. - Wensheng Cheng, Hao Luo, Wen Yang, Lei Yu, Wei Li:
Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor. - Jan Ladleif, Mathias Weske:
Time in Blockchain-Based Process Execution. - Asif Imran, Tevfik Kosar:
The Impact of Auto-Refactoring Code Smells on the Resource Utilization of Cloud Software. - Xiaochao Zhou, Zekun Zhu, Shunchuan Yang:
Formulation of Single-Source Surface Integral Equation for Electromagnetic Analysis of Composite Penetrable Objects. - Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu:
Towards Class Imbalance in Federated Learning. - Wonyoung Shin, Jung-Woo Ha, Shengzhe Li, Yongwoo Cho, Hoyean Song, Sunyoung Kwon:
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty. - Andrea Ebner, Jürgen Frikel, Dirk A. Lorenz, Johannes Schwab, Markus Haltmeier:
Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition. - Abhimanyu Dubey, Alex Pentland:
Kernel Methods for Cooperative Multi-Agent Contextual Bandits. - Stavros Assimakopoulos, Rebecca Vella Muskat, Lonneke van der Plas, Albert Gatt:
Annotating for Hate Speech: The MaNeCo Corpus and Some Input from Critical Discourse Analysis. - Haijun Liu, Xiaoheng Tan:
Parameters Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification. - Xianghui Yang, Bairun Wang, Kaige Chen, Xinchi Zhou, Shuai Yi, Wanli Ouyang, Luping Zhou:
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation. - Varun Sundar, Sumanth Hegde, Divya Kothandaraman, Kaushik Mitra:
Deep Atrous Guided Filter for Image Restoration in Under Display Cameras. - Jan Portisch, Omaima Fallatah, Sebastian Neumaier, Mohamad Yaser Jaradeh, Axel Polleres:
Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs. - Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. - Andrea Madotto, Zihan Liu, Zhaojiang Lin, Pascale Fung:
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems. - Yuchen Zhang, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
On Localized Discrepancy for Domain Adaptation. - Abhimanyu Dubey, Alex Pentland:
Cooperative Multi-Agent Bandits with Heavy Tails. - Chaojie Ji, Yijia Zheng, Ruxin Wang, Yunpeng Cai, Hongyan Wu:
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization. - Mario Kapl, Vito Vitrih:
Cs-smooth isogeometric spline spaces over planar multi-patch parameterizations. - Mingming Zhang, Minquan Cheng, Jinyu Wang, Xi Zhong, Yishan Chen:
New coded caching schemes from placement delivery arrays. - Martin Zaefferer, Frederik Rehbach:
Continuous Optimization Benchmarks by Simulation. - Christoph Benzmüller, Bertram Lomfeld:
Reasonable Machines: A Research Manifesto. - Ye Liu, Junsong Yuan, Chang Wen Chen:
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection. - Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Seung-Min Mun, Heung-Kyu Lee:
WAN: Watermarking Attack Network. - Chen Yang, Xi Lin, Meng Li, Fang He:
Simulation Comparisons of Vehicle-based and Phase-based Traffic Control for Autonomous Vehicles at Isolated Intersections. - Leanne Nortje, Herman Kamper:
Unsupervised vs. transfer learning for multimodal one-shot matching of speech and images. - Mareike Thies, Jan-Nico Zäch, Cong Gao, Russell H. Taylor, Nassir Navab, Andreas K. Maier, Mathias Unberath:
A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance. - Ruben Taelman, Simon Steyskal, Sabrina Kirrane:
Towards Querying in Decentralized Environments with Privacy-Preserving Aggregation. - Jacob König, Mark David Jenkins, Mike Mannion, Peter Barrie, Gordon Morison:
Optimized Deep Encoder-Decoder Methods for Crack Segmentation. - Muddassar A. Sindhu:
An Efficient Model Inference Algorithm for Learning-based Testing of Reactive Systems. - Shantanu Chandra, Pushkar Mishra, Helen Yannakoudakis, Madhav Nimishakavi, Marzieh Saeidi, Ekaterina Shutova:
Graph-based Modeling of Online Communities for Fake News Detection. - Priyadarshi Mukherjee, Souhir Lajnef, Ioannis Krikidis:
MIMO SWIPT Systems with Power Amplifier Nonlinearities and Memory Effects. - Shenyu Zhang, Zichen Zhu, Qingquan Bao:
Rb-PaStaNet: A Few-Shot Human-Object Interaction Detection Based on Rules and Part States. - Weidong Zhang, Wei Zhang, Yinda Zhang:
GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes. - Ivar Stefansson, Inga Berre, Eirik Keilegavlen:
A fully coupled numerical model of thermo-hydro-mechanical processes and fracture contact mechanics in porous media. - Dmitri Goldenberg, Javier Albert, Lucas Bernardi, Pablo Estevez:
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints. - Maria Hügle, Gabriel Kalweit, Thomas Huegle, Joschka Boedecker:
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis. - (Withdrawn) Proving Almost-Sure Termination of Probabilistic Programs via Incremental Pruning.
- Craig Gotsman, Kai Hormann:
Secure Data Hiding for Contact Tracing. - Marcel Radermacher, Ignaz Rutter, Peter Stumpf:
Towards a characterization of stretchable aligned graphs. - Arash Bozorgchenani, Setareh Maghsudi, Daniele Tarchi, Ekram Hossain:
Computation Offloading in Heterogeneous Vehicular Edge Networks: On-line and Off-policy Bandit Solutions. - Nana Yaw Asabere, Feng Xia, Wei Wang, Joel J. P. C. Rodrigues, Filippo Basso, Jianhua Ma:
Improving Smart Conference Participation through Socially-Aware Recommendation. - Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia:
DINE: A Framework for Deep Incomplete Network Embedding. - Dongyu Zhang, Teng Guo, Hanxiao Pan, Jie Hou, Zhitao Feng, Liang Yang, Hongfei Lin, Feng Xia:
Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks. - Zelong Yang, Zhufeng Pan, Yan Wang, Deng Cai, Shuming Shi, Shao-Lun Huang, Xiaojiang Liu:
Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport. - Stanly Samuel, Kaushik Mallik, Anne-Kathrin Schmuck, Daniel Neider:
Resilient Abstraction-Based Controller Design. - Toby P. Breckon, Aishah Alsehaim:
Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification. - Christian D. Hubbs, Hector D. Perez, Owais Sarwar, Nikolaos V. Sahinidis, Ignacio E. Grossmann, John M. Wassick:
OR-Gym: A Reinforcement Learning Library for Operations Research Problem. - Shashank Gupta, Antonio Robles-Kelly:
Feature-Extracting Functions for Neural Logic Rule Learning. - Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Ch V. Radha Sai Rupesh, Sakthi Balan Muthiah, Amit P. Sheth:
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India. - (Withdrawn) Catching a Polygonal Fish with a Minimum Net.
- Andrew Flynn, Vassilios A. Tsachouridis, Andreas Amann:
Multifunctionality in a Reservoir Computer. - Richard Moot:
Partial Orders, Residuation, and First-Order Linear Logic. - Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Survey of XAI in digital pathology. - Debangshu Banerjee:
HEX and Neurodynamic Programming. - Shruti Jadon:
An Overview of Deep Learning Architectures in Few-Shot Learning Domain. - Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann:
Error analysis for probabilities of rare events with approximate models. - Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek:
PointMixup: Augmentation for Point Clouds. - Jason Armitage, Endri Kacupaj, Golsa Tahmasebzadeh, Swati, Maria Maleshkova, Ralph Ewerth, Jens Lehmann:
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities. - Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb:
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. - Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Jörg Stückler, Michal Rolínek, Georg Martius:
Sample-efficient Cross-Entropy Method for Real-time Planning. - Gnana Praveen R., Eric Granger, Patrick Cardinal:
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled Videos. - Francesco Mannella:
Supervised Topological Maps. - Dylan S. Shah, Joshua P. Powers, Liana G. Tilton, Sam Kriegman, Josh C. Bongard, Rebecca Kramer-Bottiglio:
Gaining environments through shape change. - Branislav Micusík, Georgios Evangelidis:
Renormalization for Initialization of Rolling Shutter Visual-Inertial Odometry. - Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane:
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud. - Marco Baldi, Massimo Battaglioni, Franco Chiaraluce, Anna-Lena Horlemann-Trautmann, Edoardo Persichetti, Paolo Santini, Violetta Weger:
A New Path to Code-based Signatures via Identification Schemes with Restricted Errors. - Juan Manuel Pérez, Aymé Arango, Franco M. Luque:
ANDES at SemEval-2020 Task 12: A jointly-trained BERT multilingual model for offensive language detection. - A. Dileep, Kuldeep S. Meel, Ammar Fathin Sabili:
Induction Models on \mathbb{N}. - Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut:
Cannot Predict Comment Volume of a News Article before (a few) Users Read It. - Gianira N. Alfarano, Karan Khathuria, Violetta Weger:
On single server private information retrieval in a coding theory perspective. - Michael Neilan, M. Baris Otus:
Divergence-free Scott-Vogelius elements on curved domains. - Pavlos Papadopoulos, Nikolaos Pitropakis, William J. Buchanan, Owen Lo, Sokratis K. Katsikas:
Privacy Preserving Passive DNS. - Manoj Acharya, Tyler L. Hayes, Christopher Kanan:
RODEO: Replay for Online Object Detection. - Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia:
Self-adapting confidence estimation for stereo. - Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu:
Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics. - Fei Cheng, Yusuke Miyao:
Predicting Event Time by Classifying Sub-Level Temporal Relations Induced from a Unified Representation of Time Anchors. - Davide Ancona, Angelo Ferrando, Viviana Mascardi:
Can determinism and compositionality coexist in RML? (extended version). - Lucas Willems, Salem Lahlou, Yoshua Bengio:
Mastering Rate based Curriculum Learning. - Avinash Kori, Parth Natekar, Ganapathy Krishnamurthi, Balaji Srinivasan:
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability. - Marzieh Mozafari, Reza Farahbakhsh, Noël Crespi:
Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model. - (Withdrawn) On the Sample Complexity of Super-Resolution Radar.
- (Withdrawn) Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network.
- Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar:
ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter. - Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Self-Sampling for Neural Point Cloud Consolidation. - Hiroki Tsuda, Eisuke Shibuya, Kazuhiro Hotta:
Feedback Attention for Cell Image Segmentation. - Xi Wang, Iadh Ounis, Craig Macdonald:
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. - Yuandong Tian, Qucheng Gong, Tina Jiang:
Joint Policy Search for Multi-agent Collaboration with Imperfect Information. - Florian Zaruba, Fabian Schuiki, Luca Benini:
Manticore: A 4096-core RISC-V Chiplet Architecture for Ultra-efficient Floating-point Computing. - Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge J. Belongie, Noah Snavely, Bharath Hariharan:
Learning Gradient Fields for Shape Generation. - Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
Three Variants of Differential Privacy: Lossless Conversion and Applications. - Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, James Tompkin:
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images. - Adriana Szekeres, Irene Zhang, Katelin Bailey, Isaac Ackerman, Haichen Shen, Franziska Roesner, Dan R. K. Ports, Arvind Krishnamurthy, Henry M. Levy:
Making Distributed Mobile Applications SAFE: Enforcing User Privacy Policies on Untrusted Applications with Secure Application Flow Enforcement. - Barton P. Miller, Mengxiao Zhang, Elisa R. Heymann:
The Relevance of Classic Fuzz Testing: Have We Solved This One? - Yaqing Wang, Quanming Yao, James T. Kwok:
Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization. - Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen:
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. - Haotian Wang, Abhirup Ghosh, Jiaxin Ding, Rik Sarkar, Jie Gao:
Targeted Interventions Reduce the Spread of COVID-19: Simulation Study on Real Mobility Data. - Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty:
Sketch-Guided Object Localization in Natural Images. - Kai-Min Chung, Kuan-Yi Ho, Xiaorui Sun:
On the Hardness of Massively Parallel Computation. - Márcio Antônio de Andrade Bortoloti, Teles Araujo Fernandes, Orizon Pereira Ferreira:
On the globalization of Riemannian Newton method. - Zadid Khan, Sakib Mahmud Khan, Mashrur Chowdhury, Mizanur Rahman, Mhafuzul Islam:
An Evaluation Framework of End-to-End 5G Millimeter Wave Communication for Connected Vehicle Applications. - Peter Kairouz, Mónica Ribero, Keith Rush, Abhradeep Thakurta:
Dimension Independence in Unconstrained Private ERM via Adaptive Preconditioning. - Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra:
Toward an End-to-End Auto-tuning Framework in HPC PowerStack. - Saad Wazir, Hamza Ali Imran, Usama Latif, Usama Mujahid, Muhammad Bilal:
Single Board Computers (SBC): The Future of Next Generation Pedagogies in Pakistan. - Bin Duan, Hao Tang, Wei Wang, Ziliang Zong, Guowei Yang, Yan Yan:
Audio-Visual Event Localization via Recursive Fusion by Joint Co-Attention. - Adarsh Jagan Sathyamoorthy, Utsav Patel, Yash Ajay Savle, Moumita Paul, Dinesh Manocha:
COVID-Robot: Monitoring Social Distancing Constraints in Crowded Scenarios. - Maâmar El-Amine Hamri:
An Object-Oriented Framework for Designing Reusable and Maintainable DEVS Models using Design Patterns. - Thomas Wright, Ian Stark:
Technical Report: Property-Directed Verified Monitoring of Signal Temporal Logic. - Mina Dalirrooyfard, Andrea Lincoln, Virginia Vassilevska Williams:
New Techniques for Proving Fine-Grained Average-Case Hardness. - Feng Wang, Dongjie Shi, Teng Liu, Xiaolin Tang:
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning. - Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin:
Weakly supervised cross-domain alignment with optimal transport. - Peter F. Patel-Schneider, David L. Martin:
Wikidata on MARS. - Omid Halimi Milani, Seyed Ahmad Motamedi, Saeed Sharifian:
Intelligent Service Selection in a Multi-dimensional Environment of Cloud Providers for IoT stream Data through cloudlets. - Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty:
Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation. - Mihir P. Khambete, William Su, Juan Garcia, Joseph Lehar, Martin Kang, Marcus A. Badgeley:
Quantification of BERT Diagnosis Generalizability Across Medical Specialties Using Semantic Dataset Distance. - Jianbo Jiao, Yifan Cai, Mohammad Alsharid, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound. - Kylie Peppler, Joey Huang, Michael C. Richey, Michael Ginda, Katy Börner, Haden Quinlan, A. John Hart:
Key principles for workforce upskilling via online learning: a learning analytics study of a professional course in additive manufacturing. - Ahmed Alshehri, Malek Ben Salem, Lei Ding:
Are Smart Home Devices Abandoning IPV Victims? - Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu:
Object Detection with a Unified Label Space from Multiple Datasets. - Edward Burnell, Priya P. Pillai, Maria C. Yang:
Maps, Mirrors, and Participants: Design Lenses for Sociomateriality in Engineering Organizations. - Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman:
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. - Akifumi Wachi, Yanan Sui:
Safe Reinforcement Learning in Constrained Markov Decision Processes. - Rishabh Poddar, Stephanie Wang, Jianan Lu, Raluca Ada Popa:
Practical Volume-Based Attacks on Encrypted Databases. - Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon:
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. - Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. - Chengcheng Wan, Henry Hoffmann, Shan Lu, Michael Maire:
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks. - Hongzhi Wang, Yan Wei, Hao Yan:
Automatic Storage Structure Selection for hybrid Workload. - Xinyu Huang, Lijun He, Wanyue Zhang:
Vehicle Speed Aware Computing Task Offloading and Resource Allocation Based on Multi-Agent Reinforcement Learning in a Vehicular Edge Computing Network. - Stephen Whitelam, Viktor Selin, Sang-Won Park, Isaac Tamblyn:
Correspondence between neuroevolution and gradient descent. - Zhongyang Zhao, Caisheng Wang:
A Two-Stage Optimal Bidding Algorithm for Incentive-based Aggregation of Electric Vehicles in Workplace Parking Lots. - Priyanka Singh, Abhishek Singh, Gabriel Cojocaru, Praneeth Vepakomma, Ramesh Raskar:
PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic. - Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu:
Graph Edit Distance Reward: Learning to Edit Scene Graph. - Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse:
Evaluating Lossy Compression Rates of Deep Generative Models. - Xiang Li, Yuan Tian, Fuyao Zhang, Shuxue Quan, Yi Xu:
Object Detection in the Context of Mobile Augmented Reality. - Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou:
Compositional Generalization via Neural-Symbolic Stack Machines. - Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu:
Accountable Off-Policy Evaluation With Kernel Bellman Statistics. - Nanyu Li, Yujuan Si, Duo Deng, Chunyu Yuan:
ECG beats classification via online sparse dictionary and time pyramid matching. - Yonghyun Kim, Wonpyo Park, Jongju Shin:
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition. - Amir Aminzadeh Ghavifekr, Saeed Pezeshki, Arash Arjmandi:
Evaluation of Three Nonlinear Control Methods to Reject the Constant Bounded Disturbance for Robotic Manipulators. - Alessio Benavoli, Dario Azzimonti, Dario Piga:
Preferential Bayesian optimisation with Skew Gaussian Processes. - Aoyu Wu, Wai Tong, Tim Dwyer, Bongshin Lee, Petra Isenberg, Huamin Qu:
MobileVisFixer: Tailoring Web Visualizations for Mobile Phones Leveraging an Explainable Reinforcement Learning Framework. - Mingshu Cong, Han Yu, Xi Weng, Jiabao Qu, Yang Liu, Siu-Ming Yiu:
A VCG-based Fair Incentive Mechanism for Federated Learning. - Amir Aminzadeh Ghavifekr, Amir Rikhtehgar Ghiasi, Mohammad Ali Badamchizadeh, Farzad Hashemzadeh, Paolo Fiorini:
Stability analysis of the linear discrete teleoperation systems with stochastic sampling and data dropout. - Amir Aminzadeh Ghavifekr, Amir Rikhtehgar Ghiasi, Mohammad Ali Badamchizadeh:
Discrete-time control of bilateral teleoperation systems: a review. - Eugene Valassakis, Zihan Ding, Edward Johns:
Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics. - Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay:
Natural Wake-Sleep Algorithm. - Zhengdao Yuan, Fei Liu, Weijie Yuan, Qinghua Guo, Zhongyong Wang, Jinhong Yuan:
Iterative Detection for Orthogonal Time Frequency Space Modulation Using Approximate Message Passing with Unitary Transformation. - Roland Kaminski, Javier Romero, Torsten Schaub, Philipp Wanko:
How to build your own ASP-based system?! - Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez:
Explainability in Deep Reinforcement Learning. - Cristian Martín, Iván Alba, Joaquín Trillo, Enrique Soler, Bartolomé Rubio, Manuel Díaz:
Providing reliability and auditability to the IoT LwM2M protocol through Blockchain. - Han Liu, Caixia Yuan, Xiaojie Wang:
Label-Wise Document Pre-Training for Multi-Label Text Classification. - Varshit S. Dubey, Ruhshad Kasad, Karan Agrawal:
Autonomous Braking and Throttle System: A Deep Reinforcement Learning Approach for Naturalistic Driving. - Maria Gonzalez-i-Calabuig, Carles Ventura, Xavier Giró-i-Nieto:
Curriculum Learning for Recurrent Video Object Segmentation. - Lorenz Kuger, Gaël Rigaud:
Joint fan-beam CT and Compton scattering tomography: analysis and image reconstruction. - Vincent Cohen-Addad, Karthik C. S., Guillaume Lagarde:
On Efficient Low Distortion Ultrametric Embedding. - Luis Roldão, Joshué Pérez, David González, Vicente Milanés:
Description and Technical specification of Cybernetic Transportation Systems: an urban transportation concept. - Daniel Semrau, Shahzaib Durrani, Georgios Zervas, Robert I. Killey, Polina Bayvel:
On the Relationship Between Network Topology and Throughput in Mesh Optical Networks. - Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin:
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. - Kiran Mahesh ND:
Site Reliability Engineering: Application of Item Response Theory to Application Deployment Practices and Controls. - Tariq Rahim, Syed Ali Hassan, Soo Young Shin:
A Deep Convolutional Neural Network for the Detection of Polyps in Colonoscopy Images. - Miguel Crespo, Felix Bernal, Adrián Jarabo, Adolfo Muñoz:
Primary-Space Adaptive Control Variates using Piecewise-Polynomial Approximations. - Connor Esterwood, Lionel P. Robert:
Personality in Healthcare Human Robot Interaction (H-HRI): A Literature Review and Brief Critique. - Md. Mostafizur Rahman Komol, Mohammed Elhenawy, Shamsunnahar Yasmin, Mahmoud Masoud, Andry Rakotonirainy:
A Review on Drivers Red Light Running and Turning Behaviour Prediction. - Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi:
Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences. - Weiming Li, Peng Song, Yanli Wang:
An asymptotic-preserving IMEX method for nonlinear radiative transfer equation. - John J. H. Miller:
The parameter-uniform convergence of a fitted operator method on non-uniform meshes for a singularly perturbed initial value problem. - Jingfeng Wu, Vladimir Braverman, Lin F. Yang:
Obtaining Adjustable Regularization for Free via Iterate Averaging. - Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone:
Reducing Sampling Error in Batch Temporal Difference Learning. - Hou-Teng Cheong, Hsueh-I Lu:
Finding a Shortest Even Hole in Polynomial Time. - Brian Crafton, Samuel Spetalnick, Gauthaman Murali, Tushar Krishna, Sung Kyu Lim, Arijit Raychowdhury:
Breaking Barriers: Maximizing Array Utilization for Compute In-Memory Fabrics. - Antonella Falini, Tadej Kanduc, Maria Lucia Sampoli, Alessandra Sestini:
Cubature rules based on bivariate spline quasi-interpolation for weakly singular integrals. - Shailesh Mishra, Shivam Kumar:
Smart Voltage Monitoring: Centralised and Blockchain-based Decentralised Approach. - David Leslie:
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction. - Xiaowei Liu, Weiwei Guo, Huiji Gao, Bo Long:
Deep Search Query Intent Understanding. - Zakwan Jaroucheh, Baraq Ghaleb, William J. Buchanan:
SklCoin: Toward a Scalable Proof-of-Stake and Collective Signature Based Consensus Protocol for Strong Consistency in Blockchain. - Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen:
Heterogeneous Federated Learning. - Karan Goel, Albert Gu, Yixuan Li, Christopher Ré:
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation. - Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
The Evaluation of Rating Systems in Online Free-for-All Games. - Goran Glavas, Ivan Vulic:
Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation. - Shufang Zhu, Lucas M. Tabajara, Geguang Pu, Moshe Y. Vardi:
On the Power of Automata Minimization in Temporal Synthesis. 117-134 - Geoffrey X. Yu, Tovi Grossman, Gennady Pekhimenko:
Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training. - Divyanshu Marwah, Sneha Srivastava, Anusha Gupta, Shruti Verma:
Chrome Dino Run using Reinforcement Learning. - Edinah K. Gnang:
On Partial Differential Encodings, with Application to Boolean Circuits. - András Z. Salamon, Michael Wehar:
Stronger Lower Bounds for Polynomial Time Problems. - Henry Tsai, Jayden Ooi, Chun-Sung Ferng, Hyung Won Chung, Jason Riesa:
Finding Fast Transformers: One-Shot Neural Architecture Search by Component Composition. - Yanwu Yang, Kang Zhao, Daniel Zeng, Bernard Jim Jansen:
How Search Engine Advertising Affects Sales over Time: An Empirical Investigation. - Qiuyu Chen, Wei Zhang, Jianping Fan:
Cluster-level Feature Alignment for Person Re-identification. - Yuan Feng, Mingsheng Ying:
Quantum Hoare logic with classical variables. - Nissy Sombatruang, Tan Omiya, Daisuke Miyamoto, M. Angela Sasse, Youki Kadobayashi, Michelle Baddeley:
Attributes affecting user decision to adopt a Virtual Private Network (VPN) app. - Roy Miles, Krystian Mikolajczyk:
Cascaded channel pruning using hierarchical self-distillation. - Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang:
Attack on Multi-Node Attention for Object Detection. - Neil J. Gunther:
Erlang Redux: An Ansatz Method for Solving the M/M/m Queue. - Balder ten Cate, Victor Dalmau:
Conjunctive Queries: Unique Characterizations and Exact Learnability. - Guan'an Wang, Shaogang Gong, Jian Cheng, Zengguang Hou:
Faster Person Re-Identification. - Hieu X. Le, Phuong D. Nguyen, Thang H. Nguyen, Khanh N. Q. Le, Thanh T. Nguyen:
A novel approach to remove foreign objects from chest X-ray images. - Tin Vu, Ahmed Eldawy:
DeepSampling: Selectivity Estimation with Predicted Error and Response Time. - Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu:
Differentially Private Multi-Agent Planning for Logistic-like Problems. - Matloob Khushi:
Benchmarking database performance for genomic data. - Rui Fan, Hengli Wang, Mohammud Junaid Bocus, Ming Liu:
We Learn Better Road Pothole Detection: from Attention Aggregation to Adversarial Domain Adaptation. - Zhiwen Zeng, Matloob Khushi:
Wavelet Denoising and Attention-based RNN-ARIMA Model to Predict Forex Price. - Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo:
Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision. - Desheng Li, Ruijing Wang:
New Schemes for Solving the Principal Eigenvalue Problems of Perron-like Matrices via Polynomial Approximations of Matrix Exponentials. - Shaoxin Wang:
An efficient numerical method for condition number constrained covariance matrix approximation. - Ce Ju:
Geometric Foundations of Data Reduction. - Akansha Gautam, Koteswar Rao Jerripothula:
SGG: Spinbot, Grammarly and GloVe based Fake News Detection. - Guy Amit, Moshe Levy, Ishai Rosenberg, Asaf Shabtai, Yuval Elovici:
GLOD: Gaussian Likelihood Out of Distribution Detector. - Sachin Saxena:
TextDecepter: Hard Label Black Box Attack on Text Classifiers. - Daksh Goyal, Koteswar Rao Jerripothula, Ankush Mittal:
Detection of Gait Abnormalities caused by Neurological Disorders. - Tafseer Ahmed, Muhammad Suffian Nizami, Muhammad Yaseen Khan:
Discovering Lexical Similarity Through Articulatory Feature-based Phonetic Edit Distance. - Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. - Ralph Foorthuis:
SECODA: Segmentation- and Combination-Based Detection of Anomalies. - Anirudh Nath, Raghvendra Gupta, Rohit Mehta, Supreet Singh Bahga, Amit Gupta, Shubhendu Bhasin:
Attractive Ellipsoid Sliding Mode Observer Design for State of Charge Estimation of Lithium-ion Cells. - Sergey Prokudin, Michael J. Black, Javier Romero:
SMPLpix: Neural Avatars from 3D Human Models. - Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Mohammad Ali Balafar, Cina Motamed:
TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection. - Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Jie Liu, Jingren Zhou, Hongxia Yang, Fei Wu:
Poet: Product-oriented Video Captioner for E-commerce. - Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu:
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning. - Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu:
DeVLBert: Learning Deconfounded Visio-Linguistic Representations. - Takahiko Henmi, Esmeraldo Ronnie Rey Zara, Yoshihiro Hirohashi, Tsuyoshi Kato:
Adaptive Signal Variances: CNN Initialization Through Modern Architectures. - Adhirath Kabra, Sumit Kumar, Gaurav S. Kasbekar:
Efficient, Flexible and Secure Group Key Management Protocol for Dynamic IoT Settings. - Zhangxuan Gu, Siyuan Zhou, Li Niu, Zihan Zhao, Liqing Zhang:
Context-aware Feature Generation for Zero-shot Semantic Segmentation. - Chunyang Chen, Sidong Feng, Zhengyang Liu, Zhenchang Xing, Shengdong Zhao:
From Lost to Found: Discover Missing UI Design Semantics through Recovering Missing Tags. - Jiaming Qi, Wanyu Ma, David Navarro-Alarcon, Han Gao, Guangfu Ma:
Adaptive Shape Servoing of Elastic Rods using Parameterized Regression Features and Auto-Tuning Motion Controls. - Zhijun Zhang, Lingdong Kong, Yaru Niu, Ziang Liang:
Modification of Gesture-Determined-Dynamic Function with Consideration of Margins for Motion Planning of Humanoid Robots. - Chenghua Duan, Wenbin Chen, Chun Liu, Xingye Yue, Shenggao Zhou:
Structure-Preserving Numerical Methods for Nonlinear Fokker-Planck Equations with Nonlocal Interactions by an Energetic Variational Approach. - Jasper Wollaston James, Stephen J. Redmond, Nathan F. Lepora:
A Biomimetic Tactile Fingerprint Induces Incipient Slip. - Parth Tiwari, Yash Jain, Shivansh Mundra, Jenny A. Harding, Manoj Kumar Tiwari:
Visually Aware Skip-Gram for Image Based Recommendations. - Da Chen, Jian Zhu, Xinxin Zhang, Minglei Shu, Laurent D. Cohen:
Geodesic Paths for Image Segmentation with Implicit Region-based Homogeneity Enhancement. - Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
Neural Descent for Visual 3D Human Pose and Shape. - Harry Halpin:
SoK: Why Johnny Can't Fix PGP Standardization. - Libo Qin, Wanxiang Che, Yangming Li, Minheng Ni, Ting Liu:
DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification. - Zhuojia Gu, Hancheng Lu, Ming Zhang, Haizhou Sun, Chang Wen Chen:
Association and Caching in Relay-Assisted mmWave Networks: From A Stochastic Geometry Perspective. - Zhihuai Chen, Bo Li, Xiaohan Shan, Xiaoming Sun, Jialin Zhang:
Discouraging Pool Block Withholding Attacks in Bitcoins. - Li Zhou, Kevin Small:
Inverse Reinforcement Learning with Natural Language Goals. - Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos, Xiaorui Liu, Raj Gautam Dutta, Yier Jin, Charalambos Konstantinou:
A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems. - Anna Bogomolova, Kseniia Kingsep, Boris Voskresenskii:
The reinforcement learning-based multi-agent cooperative approach for the adaptive speed regulation on a metallurgical pickling line. - (Withdrawn) Automatic Translation of tock-CSP into Timed Automata.
- Brian Gardner, André Grüning:
Supervised Learning with First-to-Spike Decoding in Multilayer Spiking Neural Networks. - Mustafa Cemil Coskun, Gianluigi Liva, Alexandre Graell i Amat, Michael Lentmaier, Henry D. Pfister:
Successive Cancellation Decoding of Single Parity-Check Product Codes: Analysis and Improved Decoding. - Elijah F. W. Bowen, Antonio Rodriguez, Damian Sowinski, Richard Granger:
Visual stream connectivity predicts assessments of image quality. - Khushnood Abbas, Alireza Abbasi, Shi Dong, Niu Ling, Mingsheng Shang, Chen Liong, Bolun Chen:
TempNodeEmb: Temporal Node Embedding considering temporal edge influence matrix. - Zhu Zhang, Zhou Zhao, Zhijie Lin, Baoxing Huai, Nicholas Jing Yuan:
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding. - Domenico Cotroneo, Roberto Natella, Stefano Rosiello:
Dependability Evaluation of Middleware Technology for Large-scale Distributed Caching. - Carl Martin Rosenberg, Leon Moonen:
Spectrum-Based Log Diagnosis. - Aaron Zweig, Joan Bruna:
A Functional Perspective on Learning Symmetric Functions with Neural Networks. - Pavel Karban, David Pánek, Tamás Orosz, Ivo Dolezel:
Semi-Analytical Solution for a Multi-Objective TEAM Benchmark Problem. - Suchithra Rajendran, John Fennewald:
Improving Services Offered by Internet Providers by Analyzing Online Reviews using Text Analytics. - Iaroslav Melekhov, Gabriel J. Brostow, Juho Kannala, Daniyar Turmukhambetov:
Image Stylization for Robust Features. - Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun:
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians. - Yu Feng, Boyuan Tian, Tiancheng Xu, Paul N. Whatmough, Yuhao Zhu:
Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation. - S. Amirreza Badran, Mansoor Rezghi:
An adaptive synchronization approach for weights of deep reinforcement learning. - Alyssa Smith, David Assefa Tofu, Mona Jalal, Edward Edberg Halim, Yimeng Sun, Vidya Akavoor, Margrit Betke, Prakash Ishwar, Lei Guo, Derry Wijaya:
OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames. - Robin R. Murphy, Vignesh Babu Manjunath Gandudi, Justin Adams:
Applications of Robots for COVID-19 Response. - José Ribeiro, Lair Meneses, Denis Costa, Wando Miranda, Ronnie Alves:
Prediction of Homicides in Urban Centers: A Machine Learning Approach. - Zhipeng Bao, Yu-Xiong Wang, Martial Hebert:
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. - Khoi Nguyen, Sinisa Todorovic:
A Self-supervised GAN for Unsupervised Few-shot Object Recognition. - Subrata Goswami:
False Detection (Positives and Negatives) in Object Detection. - Vítor Albiero, Kevin W. Bowyer:
Is Face Recognition Sexist? No, Gendered Hairstyles and Biology Are. - Tong Shu, Yanfei Guo, Justin M. Wozniak, Xiaoning Ding, Ian T. Foster, Tahsin M. Kurç:
In-situ Workflow Auto-tuning via Combining Performance Models of Component Applications. - Ayed M. Alrashdi, Abla Kammoun, Ali H. Muqaibel, Tareq Y. Al-Naffouri:
Optimum M-PAM Transmission for Massive MIMO Systems with Channel Uncertainty. - Yaqing Wang, Fenglong Ma, Jing Gao:
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. - Marah Halawa, Manuel Wöllhaf, Eduardo Vellasques, Urko Sánchez Sanz, Olaf Hellwich:
Learning Disentangled Expression Representations from Facial Images. - Kacper Sokol, Peter A. Flach:
Towards Faithful and Meaningful Interpretable Representations. - Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab:
InstanceMotSeg: Real-time Instance Motion Segmentation for Autonomous Driving. - Lucas N. Ferreira, Levi H. S. Lelis, Jim Whitehead:
Computer-Generated Music for Tabletop Role-Playing Games. - Qahhar Muhammad Qadir, Alexander A. Kist, Zhongwei Zhang:
A Novel Traffic Rate Measurement Algorithm for QoE-Aware Video Admission Control. - Yanchao Yang, Brian Lai, Stefano Soatto:
Time-Supervised Primary Object Segmentation. - Elahe Arani, Fahad Sarfraz, Bahram Zonooz:
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks. - Xinyu Gong, Wuyang Chen, Yifan Jiang, Ye Yuan, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang:
AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation. - Matthew Abate, Samuel Coogan:
Enforcing Safety at Runtime for Systems with Disturbances. - Patrick Kreitzberg, Kyle Lucke, Jake Pennington, Oliver Serang:
Selection on X1 + X1 + ... Xm via Cartesian product tree. - Jiayu Han, Lei Yan, Zuyi Li:
LfEdNet: A Task-based Day-ahead Load Forecasting Model for Stochastic Economic Dispatch. - Davis Yoshida, Allyson Ettinger, Kevin Gimpel:
Adding Recurrence to Pretrained Transformers for Improved Efficiency and Context Size. - Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints. - Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui:
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. - Nuh Aydin, Thomas Guidotti, Peihan Liu:
Good Classical and Quantum Codes from Multi-Twisted Codes. - Ahmed Badawy, Ahmed El Shafie:
Securing OFDM-Based NOMA SWIPT Systems. - Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors. - Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff:
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. - Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida, Nachiappan Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed:
A Deep Dive on the Impact of COVID-19 in Software Development. - Yuzheng Xu, Yang Wu, Nur Sabrina binti Zuraimi, Shohei Nobuhara, Ko Nishino:
Video Region Annotation with Sparse Bounding Boxes. - Yifei Wu, Xiaofei Zhao:
Embedded exponential-type low-regularity integrators for KdV equation under rough data. - Mark Herbster, Stephen Pasteris, Lisa Tse:
Online Multitask Learning with Long-Term Memory. - Shuhan Chen, Yun Fu:
Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection. - Patrick Lam, Jens Dietrich, David J. Pearce:
Putting the Semantics into Semantic Versioning. - Shahin Tajik, Fatemeh Ganji:
Artificial Neural Networks and Fault Injection Attacks. - Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang:
Alpha Net: Adaptation with Composition in Classifier Space. - Vipin Singh Sehrawat, Yogendra Shah, Vinod Kumar Choyi, Alec Brusilovsky, Samir Ferdi:
Certificate and Signature Free Anonymity for V2V Communications. - Quentin Gendre, Tomoyuki Kaneko:
Playing Catan with Cross-dimensional Neural Network. - Xiaoyi Chen, Pratik Chaudhari:
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation. - Seung Wook Kim, Keunsoo Ko, Haneul Ko, Victor C. M. Leung:
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving. - Hongyu Ren, Yuke Zhu, Jure Leskovec, Anima Anandkumar, Animesh Garg:
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. - Carlo Russo, Sidong Liu, Antonio Di Ieva:
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI. - Mahima Chaudhary, Sumona Mukhopadhyay, Marin Litoiu, Lauren E. Sergio, Meaghan S. Adams:
Understanding Brain Dynamics for Color Perception using Wearable EEG headband. - Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Decomposition-Based Multi-Objective Evolutionary Algorithm Design under Two Algorithm Frameworks. - Benjamin Sliwa, Manuel Patchou, Christian Wietfeld:
The Best of Both Worlds: Hybrid Data-Driven and Model-Based Vehicular Network Simulation. - Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining. - Wanqing Tu:
An Efficient Transition Algorithm For Seamless Drone Multicasting. - George Retsinas, Giorgos Sfikas, Petros Maragos:
WSRNet: Joint Spotting and Recognition of Handwritten Words. - Seowoo Jang, Namwoo Kang:
Generative Design by Reinforcement Learning: Maximizing Diversity of Topology Optimized Designs. - Ziyu Wang, Dingsu Wang, Yixiao Zhang, Gus Xia:
Learning Interpretable Representation for Controllable Polyphonic Music Generation. - Luca Demetrio, Scott E. Coull, Battista Biggio, Giovanni Lagorio, Alessandro Armando, Fabio Roli:
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection. - Alessio Burrello, Angelo Garofalo, Nazareno Bruschi, Giuseppe Tagliavini, Davide Rossi, Francesco Conti:
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs. - Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia:
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation. - Tianyang Shi, Zhengxia Zou, Yi Yuan, Changjie Fan:
Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation. - Davide Catta, Richard Moot, Christian Retoré:
Logical Semantics, Dialogical Argumentation, and Textual Entailment. - Junjie Huang, Zheng Zhu, Guan Huang, Dalong Du:
How to Train Your Robust Human Pose Estimator: Pay Attention to the Constraint Cue. - Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen:
AIPerf: Automated machine learning as an AI-HPC benchmark. - Ziyu Wang, Ke Chen, Junyan Jiang, Yiyi Zhang, Maoran Xu, Shuqi Dai, Xianbin Gu, Gus Xia:
POP909: A Pop-song Dataset for Music Arrangement Generation. - Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita:
A Large-scale Open Dataset for Bandit Algorithms. - Rui Huang, Yuanjie Zheng, Zhiqiang Hu, Shaoting Zhang, Hongsheng Li:
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets. - (Withdrawn) Sublinear bounds for nullity of flows and approximating Tutte's flow conjectures.
- Tianyang Shi, Zhengxia Zou, Xinhui Song, Zheng Song, Changjian Gu, Changjie Fan, Yi Yuan:
Neutral Face Game Character Auto-Creation via PokerFace-GAN. - Takahiro Sasaki, Kyohei Otsu, Rohan Thakker, Sofie Haesaert, Ali-akbar Agha-mohammadi:
Where to Map? Iterative Rover-Copter Path Planning for Mars Exploration. - Chuan-Chi Lai, Chuan-Ming Liu, Yan-Lin Chen, Li-Chun Wang:
Probabilistic Skyline Query Processing over Uncertain Data Streams in Edge Computing Environments. - Vilho Räisänen, Mohammed Elbamby, Dmitry Petrov:
Cross-stakeholder service orchestration for B5G through capability provisioning. - Siddharth Rai, Trevor E. Carlson:
CARGO : Context Augmented Critical Region Offload for Network-bound datacenter Workloads. - Chu-Tak Li, Wan-Chi Siu, Zhi-Song Liu, Li-Wen Wang, Daniel Pak-Kong Lun:
DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting. - Enrique Iglesias, Samaneh Jozashoori, David Chaves-Fraga, Diego Collarana, Maria-Esther Vidal:
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs. - Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang:
Disentangled Item Representation for Recommender Systems. - Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh:
Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs. - Na Dong, Meng-die Zhai, Jianfang Chang, Chun-Ho Wu:
White blood cell classification. - Javier Cabrera-Arteaga, Orestis Floros Malivitsis, Oscar Luis Vera-Pérez, Benoit Baudry, Martin Monperrus:
CROW: Code Diversification for WebAssembly. - Martin Eigel, Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini:
On the convergence of adaptive stochastic collocation for elliptic partial differential equations with affine diffusion. - (Withdrawn) A near-optimal direct-sum theorem for communication complexity.
- Maria Biryukov:
Comparison of Syntactic Parsers on Biomedical Texts. - Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
How to Put Users in Control of their Data via Federated Pair-Wise Recommendation. - Xingxing Zuo, Yulin Yang, Patrick Geneva, Jiajun Lv, Yong Liu, Guoquan Huang, Marc Pollefeys:
LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking. - Diego Rodriguez, Florian Huber, Sven Behnke:
Category-Level 3D Non-Rigid Registration from Single-View RGB Images. - Jessica Maria Echterhoff, Edward Jay Wang:
PAR: Personal Activity Radius Camera View for Contextual Sensing. - David Melhart, Daniele Gravina, Georgios N. Yannakakis:
Moment-to-moment Engagement Prediction through the Eyes of the Observer: PUBG Streaming on Twitch. - Jong Yoon Hyun, Hyun Kwang Kim, Yansheng Wu, Qin Yue:
Optimal minimal Linear codes from posets. - Igor Semaev:
Algorithm for SIS and MultiSIS problems. - Luis C. García-Naranjo, Mats Vermeeren:
Structure preserving discretization of time-reparametrized Hamiltonian systems with application to nonholonomic mechanics. - Pooyan Safari, Behnam Shariati, Johannes Karl Fischer:
Privacy-Preserving Distributed Learning Framework for 6G Telecom Ecosystems. - Andres Ferraro, Dietmar Jannach, Xavier Serra:
Exploring Longitudinal Effects of Session-based Recommendations. - Xinhuan Shu, Aoyu Wu, Junxiu Tang, Benjamin Bach, Yingcai Wu, Huamin Qu:
What Makes a Data-GIF Understandable? - Jaspar Pahl, Ines Rieger, Dominik Seuss:
Multi-label Learning with Missing Values using Combined Facial Action Unit Datasets. - Yantong Wang, Vasilis Friderikos:
A Survey of Deep Learning for Data Caching in Edge Network. - Alex Samorodnitsky, Ori Sberlo:
On codes decoding a constant fraction of errors on the BSC. - Qingrui Zhang, Wei Pan, Vasso Reppa:
Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles. - Max Hermann, Boitumelo Ruf, Martin Weinmann, Stefan Hinz:
Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery. - Jessica Quach, Reza Malekian:
Exploring the weather impact on bike sharing usage through a clustering analysis. - Johannes Blum:
W[1]-Hardness of the k-Center Problem Parameterized by the Skeleton Dimension. - Soufien Hamrouni, Hakim Ghazzai, Hamid Menouar, Yehia Massoud:
An Improved Dilated Convolutional Network for Herd Counting in Crowded Scenes. - Subhadeep Sahoo:
Research on Survivability Strategies of Virtual Network. - Yuan Liang, Yange Guo, Yanxia Gong, Chunjie Luo, Jianfeng Zhan, Yunyou Huang:
An Isolated Data Island Benchmark Suite for Federated Learning. - Josef Jon, Martin Fajcík, Martin Docekal, Pavel Smrz:
BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense. - Florian Stertz, Juergen Mangler, Stefanie Rinderle-Ma:
Temporal Conformance Checking at Runtime based on Time-infused Process Models. - Christopher Schröder, Andreas Niekler:
A Survey of Active Learning for Text Classification using Deep Neural Networks. - Annette S. Lee, Sally Brummel, Kaitlin Ehret, Sarah Komperud, Thaddeus LaCoursiere:
Building a Framework for Indigenous Astronomy Collaboration: Native Skywatchers, Indigenous Scientific Knowledge Systems, and The Bell Museum. - C. Maria Keet:
Why a computer program is a functional whole. - Md Monzur Morshed:
mHealth Strategy to Fight Tuberculosis in Bangladesh. - Léa Steinacker, Miriam Meckel, Genia Kostka, Damian Borth:
Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination. - Darlington Ahiale Akogo:
A Standardized Radiograph-Agnostic Framework and Platform For Evaluating AI Radiological Systems. - Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Adaptive Multi-level Hyper-gradient Descent. - Vishwali Mhasawade, Yuan Zhao, Rumi Chunara:
Machine Learning in Population and Public Health. - Shanya Sharma, Manan Dey:
Assessing Viewer's Mental Health by Detecting Depression in YouTube Videos. - Eiji Uchibe, Kenji Doya:
Imitation learning based on entropy-regularized forward and inverse reinforcement learning. - Carlos Bendicho:
Modelo de Evaluación Técnico-Económica de Tecnologías de Acceso / Model for Techno-Economic Assessment of Access Technologies. Doctoral Dissertation for PhD, Telecommunications Engineering (EECS). - Hsien-Wen Deng, Mizanur Rahman, Mashrur Chowdhury, M. Sabbir Salek, Mitch Shue:
Commercial Cloud Computing for Connected Vehicle Applications in Transportation Cyber-Physical Systems. - Michael Sejr Schlichtkrull, Weiwei Cheng:
Evaluating for Diversity in Question Generation over Text. - Cornelis A. Middelburg:
A classical-logic view of a paraconsistent logic. - Kean Chen, Weiyao Lin, Jianguo Li, John See, Ji Wang, Junni Zou:
AP-Loss for Accurate One-Stage Object Detection. - Buse Gul Atli, Yuxi Xia, Samuel Marchal, N. Asokan:
WAFFLE: Watermarking in Federated Learning. - Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring:
Visual Analytics for Temporal Hypergraph Model Exploration. - Chris C. Emezue, Bonaventure F. P. Dossou:
Lanfrica: A Participatory Approach to Documenting Machine Translation Research on African Languages. - Philipp Geiger, Christoph Nikolas Straehle:
Multiagent trajectory models via game theory and implicit layer-based learning. - Xavier Ferrer Aran, Tom van Nuenen, Jose M. Such, Mark Coté, Natalia Criado:
Bias and Discrimination in AI: a cross-disciplinary perspective. - Daniele Mortari, David Arnas:
Bijective Mapping Analysis to Extend the Theory of Functional Connections to Non-rectangular 2-dimensional Domains. - Philip E. Pare, Sebin Gracy, Henrik Sandberg, Karl Henrik Johansson:
Data-Driven Distributed Mitigation Strategies and Analysis of Mutating Epidemic Processes. - Xi Yang, Suining He:
Towards Dynamic Urban Bike Usage Prediction for Station Network Reconfiguration. - Heather M. Roff:
Expected Utilitarianism. - Florian Meyer, Ivonne Andrea Mantilla-González, Volker Turau:
New CAP Reduction Mechanisms for IEEE 802.15.4 DSME to Support Fluctuating Traffic in IoT Systems. - Karl Fezer, Andrew N. Sloss:
Intelligence Primer. - Ramesh Raskar, Ranu Dhillon, Suraj Kapa, Deepti Pahwa, Renaud Falgas, Lagnojita Sinha, Aarathi Prasad, Abhishek Singh, Andrea Nuzzo, Rohan Iyer, Vivek Sharma:
Comparing manual contact tracing and digital contact advice. - Teresa Scantamburlo, Atia Cortés, Marie Schacht:
Progressing Towards Responsible AI. - Lance Eliot:
An Ontological AI-and-Law Framework for the Autonomous Levels of AI Legal Reasoning. - Shuby Deshpande, Benjamin Eysenbach, Jeff Schneider:
Interactive Visualization for Debugging RL. - Jinho Choi:
On Improving Throughput of Multichannel ALOHA using Preamble-based Exploration. - (Withdrawn) Simpler Hyperparameter Optimization for Software Analytics: Why, How, When?
- Jonatan Almagor, Stefano Picascia:
Can the app contain the spread? An agent-based model of COVID-19 and the effectiveness of smartphone-based contact tracing. - Shawn K. McGuire, Charles B. Delahunt:
Predicting United States policy outcomes with Random Forests. - Susan Leavy, Barry O'Sullivan, Eugenia Siapera:
Data, Power and Bias in Artificial Intelligence. - Shayan Fazeli, Babak Moatamed, Majid Sarrafzadeh:
Statistical Analytics and Regional Representation Learning for COVID-19 Pandemic Understanding. - Thanh Thi Nguyen:
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions. - Venkatesan Guruswami, Sai Sandeep:
An Algorithmic Study of the Hypergraph Turán Problem. - Federico Ruggeri, Francesca Lagioia, Marco Lippi, Paolo Torroni:
Memory networks for consumer protection: unfairness exposed. - Leon Weber, Mario Sänger, Jannes Münchmeyer, Maryam Habibi, Ulf Leser, Alan Akbik:
HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition. - Matthew C. Dirks, David Poole:
Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves. - Wenlong Mou, Zheng Wen, Xi Chen:
On the Sample Complexity of Reinforcement Learning with Policy Space Generalization. - Darlan Felipe Klotz, Richardson Ribeiro, Fabrício Enembreck, Gustavo Weber Denardin, Marco A. C. Barbosa, Dalcimar Casanova, Marcelo Teixeira:
Estimating action plans for smart poultry houses. - Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification. - Ana Paula Appel, Gabriel Louzada Malfatti, Renato Luiz de Freitas Cunha, Bruno Lima, Rogério de Paula:
Predicting Account Receivables with Machine Learning. - Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei:
Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy. - Qian Ye, Xiaohong Chen, Onur Kalan, Kaan Ozbay:
Using LDA and LSTM Models to Study Public Opinions and Critical Groups Towards Congestion Pricing in New York City through 2007 to 2019. - Steve Alpern, Thomas Lidbetter, Katerina Papadaki:
Continuous Patrolling Games. - Jens Helge Reelfs, Oliver Hohlfeld, Ingmar Poese:
Corona-Warn-App: Tracing the Start of the Official COVID-19 Exposure Notification App for Germany. - John Mark Bishop:
Artificial Intelligence is stupid and causal reasoning won't fix it. - Welverton R. Silva, Rafael C. S. Schouery:
Maximum Customers' Satisfaction in One-way Car-sharing: Modeling, Exact and Heuristic Solving. - Ekaterina Sherina, Lisa Krainz, Simon Hubmer, Wolfgang Drexler, Otmar Scherzer:
Displacement field estimation from OCT images utilizing speckle information with applications in quantitative elastography. - Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee, Kushagra Manglik, Satyam Dwivedi, Vikas Raykar:
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail. - Boudewijn F. Roukema:
[not Rp] Reproducibility of 'Poincare dodecahedral space parameter estimates'. - Kaspar Rosager Ludvigsen, Shishir Nagaraja:
Dissecting liabilities in adversarial surgical robot failures: A national (Danish) and European law perspective. - Hengjin Cai:
On Digital Currency and the Transfer of World Wealth and Technology Centers. - Ilgiz Murzakhanov, Spyros Chatzivasileiadis:
Extended mathematical derivations for the decentralized loss minimization algorithm with the use of inverters. - Fabio Massimo Zennaro, Audun Jøsang:
Using Subjective Logic to Estimate Uncertainty in Multi-Armed Bandit Problems. - Wandong Zhang, Yimin Yang, Q. M. Jonathan Wu:
Deep Networks with Fast Retraining. - Bowen Jing, Vinay Uday Prabhu, Angela Gu, John Whaley:
Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks. - Daniel Engelsman:
A Study of a Genetic Algorithm for Polydisperse Spray Flames. - Chiara Plizzari, Marco Cannici, Matteo Matteucci:
Spatial Temporal Transformer Network for Skeleton-based Action Recognition. - Mubarak Albarka Umar, Zhanfang Chen, Yan Liu:
Network Intrusion Detection Using Wrapper-based Decision Tree for Feature Selection. - Thomas Rood, Marcel van Gerven, Pablo Lanillos:
A deep active inference model of the rubber-hand illusion. - Iosif-Angelos Fyrigos, Vasileios G. Ntinas, Georgios Ch. Sirakoulis, Panagiotis Dimitrakis, Ioannis G. Karafyllidis:
Versatile Filamentary Resistive Switching Model. - Chidubem Iddianozie, Paulito Palmes:
Towards Smart Sustainable Cities: Addressing semantic heterogeneity in building management systems using discriminative models. - Marc Bosch, Christian Conroy, Benjamin Ortiz, Philip Bogden:
Improving Emergency Response during Hurricane Season using Computer Vision. - Rémy Belmonte, Eun Jung Kim, Michael Lampis, Valia Mitsou, Yota Otachi:
Grundy Distinguishes Treewidth from Pathwidth. - Maryam Matin, Matias Valdenegro-Toro:
Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks! - Cecilia Pagliantini:
Dynamical reduced basis methods for Hamiltonian systems. - Marco Gori:
An Overview on the Web of Clinical Data. - Sriram Vasudevan, Krishnaram Kenthapadi:
LiFT: A Scalable Framework for Measuring Fairness in ML Applications. - Michael Allen, Thomas Monks:
Integrating Deep Reinforcement Learning Networks with Health System Simulations. - Shivang Patel, Senthil Hariharan Arul, Pranav Dhulipala, Ming C. Lin, Dinesh Manocha, Huan Xu, Michael W. Otte:
Multi-Agent Coverage in Urban Environments. - Mary Lai O. Salvaña, Sameh Abdulah, Huang Huang, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
High Performance Multivariate Spatial Modeling for Geostatistical Data on Manycore Systems. - Jiangbin Lyu, Dan Yu, Liqun Fu:
Analysis and Optimization for Large-Scale LoRa Networks: Throughput Fairness and Scalability. - Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian:
Zero Shot Domain Generalization. - Abel Molina:
Parallel repetition with a threshold in quantum interactive proofs. - Muhammad Nazrul Islam, Toki Tahmid Inan, Suzzana Rafi, Syeda Sabrina Akter, Iqbal H. Sarker, A. K. M. Najmul Islam:
A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic. - Amit Seal Ami, Asif Imran, Alim Ul Gias, Kazi Sakib:
Effects of Internship on Fresh Graduates: A case study on IIT, DU students. - Meghan Booker, Anirudha Majumdar:
Learning to Actively Reduce Memory Requirements for Robot Control Tasks. - Othon Michail, Paul G. Spirakis, Michail Theofilatos:
Gathering in 1-Interval Connected Graphs. - Yosvany Medina Carbó, C. Álvaro Celestino Alonso Vázquez, Reina María Rodríguez García:
Herramientas tecnológicas en Android para la formación de mapeadores y promotores de Mapa Verde. - Sabiha Tahrat, Germán Alejandro Braun, Alessandro Artale, Marco Gario, Ana Ozaki:
Automated Reasoning in Temporal DL-Lite. - Su Wang, Greg Durrett, Katrin Erk:
Narrative Interpolation for Generating and Understanding Stories. - Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang:
Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement. - Bruno Courcelle, Irène Durand, Michael Raskin:
A unified algorithm for colouring graphs of bounded clique-width. - Yasin Yazicioglu:
Absorption in Time-Varying Markov Chains: Graph-Based Conditions. - Aniruddha Tammewar, Alessandra Cervone, Giuseppe Riccardi:
Emotion Carrier Recognition from Personal Narratives. - Eloise de Carvalho Rodrigues, Adrian García-Rodríguez, Lorenzo Galati-Giordano, Giovanni Geraci:
On the Latency of IEEE 802.11ax WLANs with Parameterized Spatial Reuse. - Yuxin Wang, Zeyu Ding, Daniel Kifer, Danfeng Zhang:
CheckDP: An Automated and Integrated Approach for Proving Differential Privacy or Finding Precise Counterexamples. - Gianfranco Chicco, Andrea Mazza:
Metaheuristic optimization of power and energy systems: underlying principles and main issues of the 'rush to heuristics'. - Laksh Bhatia, Ivana Tomic, Anqi Fu, Michael Breza, Julie A. McCann:
Control Communication Co-Design for Wide Area Cyber-Physical Systems. - Yasin Yazicioglu, Mudassir Shabbir, Waseem Abbas, Xenofon D. Koutsoukos:
Strong Structural Controllability of Diffusively Coupled Networks: Comparison of Bounds Based on Distances and Zero Forcing. - Mert R. Sabuncu:
Intelligence plays dice: Stochasticity is essential for machine learning. - Constantinos Psomas, Ioannis Krikidis:
Wireless Powered Mobile Edge Computing: Offloading Or Local Computation? - Zhusheng Wang, Karim Banawan, Sennur Ulukus:
Multi-Party Private Set Intersection: An Information-Theoretic Approach. - Karl Bringmann, Marvin Künnemann, André Nusser:
When Lipschitz Walks Your Dog: Algorithm Engineering of the Discrete Fréchet Distance under Translation. - Narayan Bhusal, Mukesh Gautam, Mohammed Benidris:
Cybersecurity of Electric Vehicle Smart Charging Management Systems. - Shiliang Zuo:
A Realistic Example in 2 Dimension that Gradient Descent Takes Exponential Time to Escape Saddle Points. - Yunzhong Hou, Liang Zheng:
Source Free Domain Adaptation with Image Translation. - Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun:
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. - Neha S. Wadia, Daniel Duckworth, Samuel S. Schoenholz, Ethan Dyer, Jascha Sohl-Dickstein:
Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible. - Narayan Bhusal, Mukesh Gautam, Mohammed Benidris:
Sizing of Movable Energy Resources for Service Restoration and Reliability Enhancement. - Kaustubh D. Dhole:
Resolving Intent Ambiguities by Retrieving Discriminative Clarifying Questions. - Narayan Bhusal, Mukesh Gautam, Michael Abdelmalak, Mohammed Benidris:
Modeling of Natural Disasters and Extreme Events in Power System Resilience Enhancement and Evaluation Methods. - Che-Hao Yu, Lin Huang, Cheng-Shang Chang, Duan-Shin Lee:
Poisson Receivers: a Probabilistic Framework for Analyzing Coded Random Access. - Sairam Sri Vatsavai, Venkata Sai Praneeth Karempudi, Ishan G. Thakkar:
PROTEUS: Rule-Based Self-Adaptation in Photonic NoCs for Loss-Aware Co-Management of Laser Power and Performance. - Patrick Henning, Johan Wärnegård:
Superconvergence of time invariants for the Gross-Pitaevskii equation. - Bahare Askari, Jaroslaw Szlichta, Amirali Salehi-Abari:
Joint Variational Autoencoders for Recommendation with Implicit Feedback. - Fernando Freire Scattone, Kelly Rosa Braghetto:
A Microservices Architecture for Distributed Complex Event Processing in Smart Cities. - (Withdrawn) Stochastic Bayesian Neural Networks.
- Aleksander Lukasiewicz, Przemyslaw Uznanski:
Cardinality estimation using Gumbel distribution. - Divyansh Singh:
Polyth-Net: Classification of Polythene Bags for Garbage Segregation Using Deep Learning. - Ajay Singh Ludher, Trenton S. Sieb, James H. Howe, Hashim A. Hashim:
Nonlinear Attitude Filter on SO(3): Fast Adaptation and Robustness. - Steven Cheng-Xian Li, Benjamin M. Marlin:
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective. - Alessia Andò, Dimitri Breda:
Convergence analysis of collocation methods for computing periodic solutions of retarded functional differential equations. - Yue Zhou, Kerstin Voigt:
Stock Index Prediction with Multi-task Learning and Word Polarity Over Time. - Shubhada Agrawal, Wouter M. Koolen, Sandeep Juneja:
Optimal Best-Arm Identification Methods for Tail-Risk Measures. - N. Ericsson:
A framework for approximation of the Stokes equations in an axisymmetric domain. - Shreekanth M. Prabhu, Natarajan Subramanyam:
Surveillance of COVID-19 Pandemic using Hidden Markov Model. - Hooman Hedayati, Ryo Suzuki, Daniel Leithinger, Daniel Szafir:
PufferBot: Actuated Expandable Structures for Aerial Robots. - Yipeng Zhang, Haofu Liao, Jin Xiao, Nisreen Al Jallad, Oriana Ly-Mapes, Jiebo Luo:
A Smartphone-based System for Real-time Early Childhood Caries Diagnosis. - Wei Xiao, Christos G. Cassandras, Calin A. Belta:
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles. - Ying Zhang, Zhiqiang Zhao, Zhuo Feng:
SF-GRASS: Solver-Free Graph Spectral Sparsification. - Sabine Cornelsen, Maximilian Pfister, Henry Förster, Martin Gronemann, Michael Hoffmann, Stephen G. Kobourov, Thomas Schneck:
Drawing Shortest Paths in Geodetic Graphs. - Aleksandar Haber, Sebastian A. Nugroho, Patricio Torres, Ahmad F. Taha:
Control Node Selection Algorithm for Nonlinear Dynamic Networks. - Pau Riba, Andreas Fischer, Josep Lladós, Alicia Fornés:
Learning Graph Edit Distance by Graph Neural Networks. - Fajrian Yunus, Chloé Clavel, Catherine Pelachaud:
Sequence-to-Sequence Predictive Model: From Prosody To Communicative Gestures. - Peleg Harel, Ohad Ben-Shahar:
Lazy caterer jigsaw puzzles: Models, properties, and a mechanical system-based solver. - Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen:
Learning Two-Layer Residual Networks with Nonparametric Function Estimation by Convex Programming. - Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Pinar Duygulu:
A Deep Dive into Adversarial Robustness in Zero-Shot Learning. - Lorina Dascal, Gautam Pai, Ron Kimmel:
A modified Allen-Cahn model for pattern synthesis on surfaces. - Minchul Kim, Jungwoo Lee:
Information-Theoretic Privacy in Federated Submodel learning. - Javad Rahimipour Anaraki, Jae Moon, Tom Chau:
Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets. - Javad Rahimipour Anaraki, Saeed Samet:
Privacy-preserving feature selection: A survey and proposing a new set of protocols. - Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni:
Inverse Distance Aggregation for Federated Learning with Non-IID Data. - Weichao Zhou, Ruihan Gao, BaekGyu Kim, Eunsuk Kang, Wenchao Li:
Runtime-Safety-Guided Policy Repair. - Hooman Hedayati, Annika Muehlbradt, Daniel J. Szafir, Sean Andrist:
REFORM: Recognizing F-formations for Social Robots. - Albert Gu, Tri Dao, Stefano Ermon, Atri Rudra, Christopher Ré:
HiPPO: Recurrent Memory with Optimal Polynomial Projections. - Jia Chen, Evangelos E. Papalexakis:
Ensemble Node Embeddings using Tensor Decomposition: A Case-Study on DeepWalk. - Erin MacDonald, Denilson Barbosa:
An Annotated Corpus of Webtables for Information Extraction Tasks. - Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy:
Residual Learning from Demonstration. - Karthik Gopalakrishnan, Behnam Hedayatnia, Longshaokan Wang, Yang Liu, Dilek Hakkani-Tür:
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study. - Vaibhav Kumar, Vikas Raunak, Jamie Callan:
Ranking Clarification Questions via Natural Language Inference. - Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel M. DiPietro, Bo Zhu:
Soft Multicopter Control using Neural Dynamics Identification. - Silvia Bertoluzza, Erik Burman, Cuiyu He:
An a posteriori error estimate of the outer normal derivative using dual weights. - Haikun Dang, Hehu Xie, Gang Zhao, Chenguang Zhou:
A Nonnested Augmented Subspace Method for Eigenvalue Problems with Curved Interfaces. - Jiachun Pan, Yonglong Li, Vincent Y. F. Tan, Yonina C. Eldar:
On the Error Exponent of Approximate Sufficient Statistics for M-ary Hypothesis Testing. - Siddharth Ghiya, Katia P. Sycara:
Learning Complex Multi-Agent Policies in Presence of an Adversary. - Alexey Ivanov:
Evaluating BBRv2 on the Dropbox Edge Network. - Michael Oppermann, Robert Kincaid, Tamara Munzner:
VizCommender: Computing Text-Based Similarity in Visualization Repositories for Content-Based Recommendations. - Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu:
PopMAG: Pop Music Accompaniment Generation. - Zhiwen Xiao, Xin Xu, Huanlai Xing, Juan Chen:
RTFN: Robust Temporal Feature Network. - Shusuke Kobayashi, Susumu Shirayama:
Selecting Data Adaptive Learner from Multiple Deep Learners using Bayesian Networks. - Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu:
One-pixel Signature: Characterizing CNN Models for Backdoor Detection. - Pan Zhang, Wilfredo Torres Calderon, Bokyung Lee, Alex Tessier, Jacky Bibliowicz, Liviu-Mihai Calin, Michael Lee:
Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects. - Maliha Arif, Abhijit Mahalanobis:
Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning. - Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor:
Age of Information in Random Access Networks: A Spatiotemporal Study. - Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang:
Ordinal Pattern Kernel for Brain Connectivity Network Classification. - Pham Thuc Hung, Kenji Yamanishi:
Word2vec Skip-gram Dimensionality Selection via Sequential Normalized Maximum Likelihood. - Massieh Kordi Boroujeny, Brian L. Mark:
Design of a Stochastic Traffic Regulator for End-to-End Network Delay Guarantees. - Xiaoyu Kou, Bingfeng Luo, Huang Hu, Yan Zhang:
NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search. - Pulkit Khandelwal, Paul A. Yushkevich:
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging. - Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov:
SoDA: Multi-Object Tracking with Soft Data Association. - Le Yang, Dingwen Zhang, Tao Zhao, Junwei Han:
Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization. - Muhammad Waseem, Peng Liang, Mojtaba Shahin:
A Systematic Mapping Study on Microservices Architecture in DevOps. - Haoyan Xu, Ziheng Duan, Yida Huang, Jie Feng, Anni Ren, Qianru Zhang, Pengyu Song, Xiaoqian Wang:
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting. - Thomas P. Quinn, Manisha Senadeera, Stephan Jacobs, Simon Coghlan, Vuong Le:
Trust and Medical AI: The challenges we face and the expertise needed to overcome them. - Luling Cao, Yinnian He, Jian Li:
Decoupled Modified Characteristic Finite Element Method with Different Subdomain Time Steps for Nonstationary Dual-Porosity-Navier-Stokes Model. - Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration. - Helen Jiang, Erwen Senge:
Usable Security for ML Systems in Mental Health: A Framework. - Lifeng Gu:
Positive semidefinite support vector regression metric learning. - Minhui Huang, Shiqian Ma, Lifeng Lai:
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method. - Lance Eliot:
Turing Test and the Practice of Law: The Role of Autonomous Levels of AI Legal Reasoning. - Jakob Thrane, Benjamin Sliwa, Christian Wietfeld, Henrik Lehrmann Christiansen:
Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge. - Michael Dorner, Maximilian Capraro, Ann Barcomb:
Quo Vadis, Open Source? The Limits of Open Source Growth. - Fei Zheng:
Efficient Private Machine Learning by Differentiable Random Transformations. - Senci Ying:
Shared MF: A privacy-preserving recommendation system. - Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy J. Mitra, Leonidas J. Guibas:
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images. - Amyra Meidiana, Seok-Hee Hong, Peter Eades:
New Quality Metrics for Dynamic Graph Drawing. - Xiaodong Liu, Kevin Duh, Liyuan Liu, Jianfeng Gao:
Very Deep Transformers for Neural Machine Translation. - Umer Siddique, Paul Weng, Matthieu Zimmer:
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards. - Devendra Swami, Alay Dilipbhai Shah, Subhrajeet K. B. Ray:
Predicting Future Sales of Retail Products using Machine Learning. - Guangming Yao, Yi Yuan, Tianjia Shao, Kun Zhou:
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks. - Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese:
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. - Vipul Gupta, Soham R. Phade, Thomas A. Courtade, Kannan Ramchandran:
Utility-based Resource Allocation and Pricing for Serverless Computing. - Stephan Wiefling, Tanvi Patil, Markus Dürmuth, Luigi Lo Iacono:
Evaluation of Risk-based Re-Authentication Methods. - Hao Guo, Xintao Ren, Rongrong Wang, Zhun Cai, Kai Shuang, Yue Sun:
A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection. - Minfeng Zhu, Wei Chen, Yuanzhe Hu, Yuxuan Hou, Liangjun Liu, Kaiyuan Zhang:
DRGraph: An Efficient Graph Layout Algorithm for Large-scale Graphs by Dimensionality Reduction. - Gabriel Michau, Olga Fink:
Transferring Complementary Operating Conditions for Anomaly Detection. - Anbang Yao, Dawei Sun:
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation. - Tomu Tahara, Takashi Seno, Gaku Narita, Tomoya Ishikawa:
Retargetable AR: Context-aware Augmented Reality in Indoor Scenes based on 3D Scene Graph. - Tianqi Ma, Lin Zhang, Xiumin Diao, Ou Ma:
ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome Prediction. - Michele Albano, Matteo Mordacchini, Laura Ricci:
AoI-based Multicast Routing over Voronoi Overlays with Minimal Overhead. - Miroslav Valan, Lukás Picek:
Mastering Large Scale Multi-label Image Recognition with high efficiency overCamera trap images. - Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen:
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models. - Patrizio Angelini, Steven Chaplick, Sabine Cornelsen, Giordano Da Lozzo:
Planar L-Drawings of Bimodal Graphs. - Lina Wang, Rui Tang, Yawei Yue, Xingshu Chen, Wei Wang, Yi Zhu, Xuemei Zeng:
Improving adversarial robustness of deep neural networks by using semantic information. - Kartik Chaudhary, Raghav Bali:
EASTER: Efficient and Scalable Text Recognizer. - Jonas Kusch, Louisa Schlachter:
Oscillation Mitigation of Hyperbolicity-Preserving Intrusive Uncertainty Quantification Methods for Systems of Conservation Laws. - Ovi Paul:
Image Pre-processing on NumtaDB for Bengali Handwritten Digit Recognition. - Yuri Feldman, Yoel Shapiro, Dotan Di Castro:
Depth Completion with RGB Prior. - David Baum:
Exploring the Design Space of Aesthetics with the Repertory Grid Technique. - Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing, Tomi Westerlund:
Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces. - Dan Olteanu:
The Relational Data Borg is Learning. - Maximilian Toller, Bernhard C. Geiger, Roman Kern:
A Formally Robust Time Series Distance Metric. - Aleem Akhtar:
Implementation of Course Recommender System for Virtual University of Pakistan. - Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic, Slobodan Vucetic:
Multi-Modal Trajectory Prediction of NBA Players. - Amirhossein Kardoost, Kalun Ho, Peter Ochs, Margret Keuper:
Self-supervised Sparse to Dense Motion Segmentation. - Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. - Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing, Tomi Westerlund:
Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning. - Rebekka Wohlrab, Jennifer Horkoff, Rashidah Kasauli, Salome Maro, Jan-Philipp Steghöfer, Eric Knauss:
Modeling and Analysis of Boundary Objects and Methodological Islands in Large-Scale Systems Development. - Karin Verspoor, Simon Suster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno-Yepes, David Martínez:
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research. - Muhammad Omer, Moayad El-Amin, Ammar Nasr, Rami Ahmed:
Modeling, Visualization, and Analysis of African Innovation Performance. - Meichen Liu, Kejun Wang, Juihang Ji, Shuzhi Sam Ge:
Person image generation with semantic attention network for person re-identification. - Tobias Pfandzelter, Jonathan Hasenburg, David Bermbach:
From Zero to Fog: Efficient Engineering of Fog-Based IoT Applications. - Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Chanan Singh, Joydeep Mitra:
A Sensitivity-based Approach for Optimal Siting of Distributed Energy Resources. - Martin Kucera, Ondrej Suchý:
Minimum Eccentricity Shortest Path Problem with Respect to Structural Parameters. - Narayan Bhusal, Mukesh Gautam, Mohammed Benidris, Sushil J. Louis:
Optimal Sizing and Siting of Multi-purpose Utility-scale Shared Energy Storage Systems. - David Scott Warren, Yanhong A. Liu:
LPOP: Challenges and Advances in Logic and Practice of Programming. - Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li:
Glancing Transformer for Non-Autoregressive Neural Machine Translation. - Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Sushil J. Louis:
A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration. - Andrew Cropper, Sebastijan Dumancic:
Inductive logic programming at 30: a new introduction. - Mahmoud A. Hasabelnaby, Anas Chaaban:
End-to-End Rate Enhancement in C-RAN Using Multi-Pair Two-Way Computation. - Matthew Painter, Jonathon S. Hare, Adam Prügel-Bennett:
Linear Disentangled Representations and Unsupervised Action Estimation. - Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang:
Visibility-aware Multi-view Stereo Network. - Philipp Grüning, Thomas Martinetz, Erhardt Barth:
Feature Products Yield Efficient Networks. - Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou, Hujun Bao:
Motion Capture from Internet Videos. - Ye Zhu, Yu Wu, Yi Yang, Yan Yan:
Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents. - Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. - Vahan Yoghourdjian, Yalong Yang, Tim Dwyer, Lawrence Lee, Michael Wybrow, Kim Marriott:
Scalability of Network Visualisation from a Cognitive Load Perspective. - Henry Cox:
Differential coverage: automating coverage analysis. - Jiaxin Ma, Ryo Yonetani, Zahid Iqbal:
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients. - Akanksha Agrawal, Madhumita Kundu, Abhishek Sahu, Saket Saurabh, Prafullkumar Tale:
Parameterized Complexity of Maximum Edge Colorable Subgraph. - Farhan Khawar, Leonard Kin Man Poon, Nevin Lianwen Zhang:
Learning the Structure of Auto-Encoding Recommenders. - Lamprini Zarpala, Fran Casino:
A blockchain-based Forensic Model for Financial Crime Investigation: The Embezzlement Scenario. - Shuqiang Jiang, Yaohui Zhu, Chenlong Liu, Xinhang Song, Xiangyang Li, Weiqing Min:
Dataset Bias in Few-shot Image Recognition. - Ye Zhu, Yan Yan, Oleg Komogortsev:
Hierarchical HMM for Eye Movement Classification. - Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu, Man Lan:
Relational Reflection Entity Alignment. - Janderson Ferreira, Agostinho A. F. Júnior, Letícia Castro, Yves M. Galvão, Pablo V. A. Barros, Bruno J. T. Fernandes:
Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning. - Saket Saurabh, Uéverton dos Santos Souza, Prafullkumar Tale:
On the Parameterized Complexity Of Grid Contraction. - Dániel Marx:
Four short stories on surprising algorithmic uses of treewidth. - Vipin Singh Sehrawat, Yvo Desmedt:
Access Structure Hiding Secret Sharing from Novel Set Systems and Vector Families. - Divya Gaur, Joachim Folz, Andreas Dengel:
Training Deep Neural Networks Without Batch Normalization. - Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Dürr:
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. - Ningyu Sha, Lei Shi, Ming Yan:
Fast algorithms for robust principal component analysis with an upper bound on the rank. - Chen Chen, Jaewoo Lee:
Stochastic Adaptive Line Search for Differentially Private Optimization. - Ziv Aharoni, Oron Sabag, Haim Henri Permuter:
Reinforcement Learning Evaluation and Solution for the Feedback Capacity of the Ising Channel with Large Alphabet. - Zach Parish, Connor Cushing, Shourya Aggarwal, Amirali Salehi-Abari, Julie Thorpe:
Password Guessers Under a Microscope: An In-Depth Analysis to Inform Deployments. - Jascha Kolberg, Marcel Grimmer, Marta Gomez-Barrero, Christoph Busch:
Anomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection. - Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker:
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP. - Aritra Konar, Nicholas D. Sidiropoulos:
Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods. - Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode and Modulo-SK are Designed for Different Settings. - Siddharth Nayak, Balaraman Ravindran:
Reinforcement Learning for Improving Object Detection. - Badih Ghazi, Ravi Kumar, Pasin Manurangsi:
Differentially Private Clustering: Tight Approximation Ratios. - Gouthaman KV, Athira M. Nambiar, Kancheti Sai Srinivas, Anurag Mittal:
Linguistically-aware Attention for Reducing the Semantic-Gap in Vision-Language Tasks. - Harry Halpin:
Deconstructing the Decentralization Trilemma. - Adnane Cabani, Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi:
MaskedFace-Net - A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19. - Jatin Gupta, Vandana Saini, Kamaldeep Garg:
Multilanguage Number Plate Detection using Convolutional Neural Networks. - Alexander Nolte, Ei Pa Pa Pe-Than, Abasi-Amefon Obot Affia, Chalalai Chaihirunkarn, Anna Filippova, Arun Kalyanasundaram, Maria Angelica Medina Angarita, Erik H. Trainer, James D. Herbsleb:
How to organize a hackathon - A planning kit. - Jinsol Lee, Ghassan AlRegib:
Gradients as a Measure of Uncertainty in Neural Networks. - Samrat Mukhopadhyay, Mrityunjoy Chakraborty:
A Two Stage Generalized Block Orthogonal Matching Pursuit (TSGBOMP) Algorithm. - Talya Eden, Saleet Mossel, Ronitt Rubinfeld:
Amortized Edge Sampling. - Christopher Jung, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra:
Moment Multicalibration for Uncertainty Estimation. - Fazel Hadadifard, Satbir Malhi, Zhengyi Xiao:
A class of Finite difference Methods for solving inhomogeneous damped wave equations. - Tomás Báca, Matej Petrlík, Matous Vrba, Vojtech Spurný, Robert Penicka, Daniel Hert, Martin Saska:
The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles. - Art B. Owen:
On dropping the first Sobol' point. - Guy Leroy, Daniel Rueckert, Amir Alansary:
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images. - Siddharth Samsi, Andrew Prout, Michael Jones, Andrew C. Kirby, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, Jeremy Kepner:
Benchmarking network fabrics for data distributed training of deep neural networks. - Eran Malach, Shai Shalev-Shwartz:
When Hardness of Approximation Meets Hardness of Learning. - Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu:
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems. - Siddharth Samsi, Michael Jones, Mark M. Veillette:
Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision Training. - Xinshuo Weng, Jianren Wang, David Held, Kris Kitani:
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics. - I. Shovkun, T. Garipov, Hamdi A. Tchelepi:
Embedded Fracture Model for Coupled Flow and Geomechanics. - Semih Köklücan, Mehmet Kemal Leblebicioglu:
Energy-Optimal Control of a Submarine-Launched Cruise Missile. - Lunjia Hu, Omer Reingold:
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers. - Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova:
AssembleNet++: Assembling Modality Representations via Attention Connections. - Sohini Roy, Arunabha Sen:
Identification of the K-most Vulnerable Entities in a Smart Grid System. - Kurt Shuster, Jack Urbanek, Emily Dinan, Arthur Szlam, Jason Weston:
Deploying Lifelong Open-Domain Dialogue Learning. - Roland Glowinski, Shingyu Leung, Hao Liu, Jianliang Qian:
On the Numerical Solution of Nonlinear Eigenvalue Problems for the Monge-Ampère Operator. - Yalchin Efendiev, Petr N. Vabishchevich:
Splitting methods for solution decomposition in nonstationary problems. - Ralph Foorthuis, Marlies van Steenbergen, Sjaak Brinkkemper, Wiel Bruls:
A Theory Building Study of Enterprise Architecture Practices and Benefits. - Filip Ilievski, Pedro A. Szekely, Daniel Schwabe:
Commonsense Knowledge in Wikidata. - Daniel Bolya, Sean Foley, James Hays, Judy Hoffman:
TIDE: A General Toolbox for Identifying Object Detection Errors. - Kaidi Yang, Matthew W. Tsao, Xin Xu, Marco Pavone:
Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems. - Martin Aumüller, Anders Bourgeat, Jana Schmurr:
Differentially Private Sketches for Jaccard Similarity Estimation. - Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, Didier Stricker:
DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR. - Susanne C. Brenner:
Finite Element Methods for Elliptic Distributed Optimal Control Problems with Pointwise State Constraints. - Amanda Cardoso Duarte, Shruti Palaskar, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, Xavier Giró-i-Nieto:
How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language. - Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges:
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis. - Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabás Póczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu:
Robust Handwriting Recognition with Limited and Noisy Data. - Dihan Dai, Yekaterina Epshteyn, Akil Narayan:
Hyperbolicity-Preserving and Well-Balanced Stochastic Galerkin Method for Shallow Water Equations. - Oliver Limoyo, Bryan Chan, Filip Maric, Brandon Wagstaff, A. Rupam Mahmood, Jonathan Kelly:
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics. - Bayan Al-Nahhas, Qurrat-Ul-Ain Nadeem, Anas Chaaban:
Intelligent Reflecting Surface Assisted MISO Downlink: Channel Estimation and Asymptotic Analysis. - Junhua Yan, Hasan Faik Alan, Jasleen Kaur:
Fingerprinting Search Keywords over HTTPS at Scale. - Bahareh Sarrafzadeh, Sujay Kumar Jauhar, Michael Gamon, Edward Lank, Ryen White:
Characterizing Stage-Aware Writing Assistance in Collaborative Document Authoring. - Chinwe Ekenna, Bharvee Acharya:
Clustering and Analysis of Vulnerabilities Present in Different Robot Types. - Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, Hao Li:
Learning to Generate Diverse Dance Motions with Transformer. - Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held:
Uncertainty-aware Self-supervised 3D Data Association. - Yuanyuan Tang, Farzad Farnoud:
Error-correcting Codes for Noisy Duplication Channels. - Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa:
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models. - Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard:
Discovering Multi-Hardware Mobile Models via Architecture Search. - Jason Ingyu Choi, Surya Kallumadi, Bhaskar Mitra, Eugene Agichtein, Faizan Javed:
Semantic Product Search for Matching Structured Product Catalogs in E-Commerce. - Muchuang Hu, Jiahui Chen, Wensheng Gan, Chien-Ming Chen:
A Jumping Mining Attack and Solution. - Vardan Papyan, X. Y. Han, David L. Donoho:
Prevalence of Neural Collapse during the terminal phase of deep learning training. - Xuewen Yang, Dongliang Xie, Xin Wang, Jiangbo Yuan, Wanying Ding, Pengyun Yan:
Learning Tuple Compatibility for Conditional OutfitRecommendation. - Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, Weiping Ding:
Discovering High Utility-Occupancy Patterns from Uncertain Data. - Sudip Poddar, Anirban Mukhopadhyay:
EXCLUVIS: A MATLAB GUI Software for Comparative Study of Clustering and Visualization of Gene Expression Data. - Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas:
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. - Muhammad Umar Bin Farooq, Marvin Manalastas, Waseem Raza, Aneeqa Ijaz, Syed Muhammad Asad Zaidi, Adnan A. Abu-Dayya, Ali Imran:
Data Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Multi-band Networks. - Yubo Kou, Xinning Gui:
Mediating Community-AI Interaction through Situated Explanation: The Case of AI-Led Moderation. - Dongfang Zhao:
An Algebraic-Topological Approach to Processing Cross-Blockchain Transactions. - Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee:
DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling. - Xiaoyu Zhang, Wei Wang, Xianyu Qi, Ziwei Liao:
Stereo Plane SLAM Based on Intersecting Lines. - Zhaoyuan Fang, Adam Czajka:
Open Source Iris Recognition Hardware and Software with Presentation Attack Detection. - Zhaoyi Xu, Joseph Homer Saleh:
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities. - Vidhi Zala, Robert M. Kirby, Akil Narayan:
Structure-preserving function approximation via convex optimization. - Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan:
Victim or Perpetrator? Analysis of Violent Characters Portrayals from Movie Scripts. - Lingdong Kong:
Kinematic Resolutions of Redundant Robot Manipulators using Integration-Enhanced RNNs. - Qiaohua Liu, Zhigang Jia:
On the condition number of the total least squares problem with linear equality constraint. - Beth Porter, Burçin Bozkaya:
Assessing the Effectiveness of Using Live Interactions and Feedback to Increase Engagement in Online Learning. - Huaijiang Zhu, Manali Sharma, Kai Pfeiffer, Marco Mezzavilla, Jia Shen, Sundeep Rangan, Ludovic Righetti:
Enabling Remote Whole-Body Control with 5G Edge Computing. - Yepeng Ding, Hiroyuki Sato:
Formalizing and Verifying Decentralized Systems with Extended Concurrent Separation Logic. - Jialun Pei, He Tang, Chuanbo Chen:
Weakly Supervised Learning with Region and Box-level Annotations for Salient Instance Segmentation. - Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
Leveraging Historical Interaction Data for Improving Conversational Recommender System. - Guoting Song, Junhao Hu, Shuaibin Gao, Xiaoyue Li:
The Strong Convergence and Stability of Explicit Approximations for Nonlinear Stochastic Delay Differential Equations. - Ke-Yue Zhang, Taiping Yao, Jian Zhang, Ying Tai, Shouhong Ding, Jilin Li, Feiyue Huang, Haichuan Song, Lizhuang Ma:
Face Anti-Spoofing Via Disentangled Representation Learning. - Alex Cummaudo, Scott Barnett, Rajesh Vasa, John C. Grundy:
Threshy: Supporting Safe Usage of Intelligent Web Services. - Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
A Color Elastica Model for Vector-Valued Image Regularization. - Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He:
Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos. - Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan:
Learning Connectivity of Neural Networks from a Topological Perspective. - Jessica Hoffmann, Matt Jordan, Constantine Caramanis:
Quarantines as a Targeted Immunization Strategy. - Maksim V. Kubrikov, Mikhail V. Saramud, M. V. Karaseva:
Problem of robotic precision cutting of the geometrically complex shape from an irregular honeycomb grid. - Tung D. Le, Gheorghe-Teodor Bercea, Tong Chen, Alexandre E. Eichenberger, Haruki Imai, Tian Jin, Kiyokuni Kawachiya, Yasushi Negishi, Kevin O'Brien:
Compiling ONNX Neural Network Models Using MLIR. - Sung Min Cho, Eunhyeok Park, Sungjoo Yoo:
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. - Shengnan Hu, Yang Zhang, Sumit Laha, Ankit Kumar Sharma, Hassan Foroosh:
CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection. - Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck:
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs. - Xu Qian, Victor Li, Darren Crews:
Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks. - Andrew Borthwick, Stephen Ash, Bin Pang, Shehzad Qureshi, Timothy Jones:
Scalable Blocking for Very Large Databases. - Jihoon Cha, Junil Choi, David J. Love:
Noncoherent OOK Symbol Detection with Supervised-Learning Approach for BCC. - Sujoy Bhore, Robert Ganian, Fabrizio Montecchiani, Martin Nöllenburg:
Parameterized Algorithms for Queue Layouts. - Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna:
Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference. - Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Zero-Shot Learning. - Swetha Hariharan, Prakash Murali, Abhishek Pasari, Sathish Vadhiyar:
End-to-End Predictions-Based Resource Management Framework for Supercomputer Jobs. - Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov:
TNT: Target-driveN Trajectory Prediction. - Li-Wen Wang, Wan-Chi Siu, Zhi-Song Liu, Chu-Tak Li, Daniel Pak-Kong Lun:
Deep Relighting Networks for Image Light Source Manipulation. - (Withdrawn) Using Sampling Strategy to Assist Consensus Sequence Analysis.
- Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai:
E-commerce Recommendation with Weighted Expected Utility. - Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, Jaegul Choo:
Towards Lightweight Lane Detection by Optimizing Spatial Embedding. - Katri Leino, Juho Leinonen, Mittul Singh, Sami Virpioja, Mikko Kurimo:
FinChat: Corpus and evaluation setup for Finnish chat conversations on everyday topics. - Ben Mussay, Dan Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy:
Data-Independent Structured Pruning of Neural Networks via Coresets. - Dan Wang, Arun Vishwanath, Ramesh K. Sitaraman, Iven Mareels:
Organizing Virtual Conferences through Mirrors: The ACM e-Energy 2020 Experience. - Adrian Montgomery Ruf:
Flux-stability for conservation laws with discontinuous flux and convergence rates of the front tracking method. - Yu Rong, Takaaki Shiratori, Hanbyul Joo:
FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration. - Ulrik Skre Fjordholm, Adrian Montgomery Ruf:
Second-order accurate TVD numerical methods for nonlocal nonlinear conservation laws. - Maarten Blommaert, Yannick Wack, Martine Baelmans:
An Adjoint Optimization Approach to Network Topology and Discrete Pipe Size Design for District Heating Networks. - Junjie Tan, Ying-Chang Liang, Nguyen Cong Luong, Dusit Niyato:
Toward Smart Security Enhancement of Federated Learning Networks. - Yuxi Li, Weiyao Lin, John See, Ning Xu, Shugong Xu, Yan Ke, Cong Yang:
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization. - (Withdrawn) Towards Class-incremental Object Detection with Nearest Mean of Exemplars.
- Wazen M. Shbair, Thibault Cholez, Jérôme François, Isabelle Chrisment:
A Survey of HTTPS Traffic and Services Identification Approaches. - Dominik Engel, Timo Ropinski:
Deep Volumetric Ambient Occlusion. - Wazen M. Shbair, Thibault Cholez, Jérôme François, Isabelle Chrisment:
Early Identification of Services in HTTPS Traffic. - Michele Coscia, Michael Szell:
Multiplex Graph Association Rules for Link Prediction. - Furui Cheng, Yao Ming, Huamin Qu:
DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models. - Aliakbar Akbaritabar:
Berlin: A Quantitative View of the Structure of Institutional Scientific Collaborations. - Junyan Wang, Yang Bai, Yang Long, Bingzhang Hu, Zhenhua Chai, Yu Guan, Xiaolin Wei:
Query Twice: Dual Mixture Attention Meta Learning for Video Summarization. - Kristina Gligoric, Manoel Horta Ribeiro, Martin Müller, Olesia Altunina, Maxime Peyrard, Marcel Salathé, Giovanni Colavizza, Robert West:
Experts and authorities receive disproportionate attention on Twitter during the COVID-19 crisis. - Saeed Akhoondian Amiri:
Disjoint Shortest Paths with Congestion on DAGs. - Artjoms Gorpincenko, Geoffrey French, Michal Mackiewicz:
Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation. - Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti, Stefano Cresci, Maurizio Tesconi:
Coordinated Behavior on Social Media in 2019 UK General Election. - Norah Abokhodair, AbdelRahim A. Elmadany, Walid Magdy:
Holy Tweets: Exploring the Sharing of Quran on Twitter. - Daniel Lokshtanov, Saket Saurabh, Meirav Zehavi:
Efficient Graph Minors Theory and Parameterized Algorithms for (Planar) Disjoint Paths. - Alfred Laugros, Alice Caplier, Matthieu Ospici:
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training. - Hendrik Bernd Petersen, Peter Jung:
Robust Instance-Optimal Recovery of Sparse Signals at Unknown Noise Levels. - Steffen Goebbels:
ReLU activated Multi-Layer Neural Networks trained with Mixed Integer Linear Programs. - Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji:
Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations. - Lukas Kölsch:
On CCZ-equivalence of the inverse function. - César Soto-Valero, Thomas Durieux, Nicolas Harrand, Benoit Baudry:
Trace-based Debloat for Java Bytecode. - Yun Wang, Tong Zhang, Zhen Cui, Chunyan Xu, Jian Yang:
Instance-Aware Graph Convolutional Network for Multi-Label Classification. - Xinhui Lai, Maksim Jenihhin, Georgios N. Selimis, Sven Goossens, Roel Maes, Kolin Paul:
Early RTL Analysis for SCA Vulnerability in Fuzzy Extractors of Memory-Based PUF Enabled Devices. - Alexandre Skoda:
Inheritance of Convexity for the P̃min-Restricted Game. - Maya Dotan, Yvonne-Anne Pignolet, Stefan Schmid, Saar Tochner, Aviv Zohar:
Survey on Cryptocurrency Networking: Context, State-of-the-Art, Challenges. - Toshiya Itoh, Shuichi Miyazaki, Makoto Satake:
Competitive Analysis for Two Variants of Online Metric Matching Problem. - Jooyeol Yun, Jungwoo Oh, Ildong Yun:
Gradually Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images. - Jean Cardinal, John Iacono:
Modular Subset Sum, Dynamic Strings, and Zero-Sum Sets. - Alexander Wolpert, Michael Teutsch, M. Saquib Sarfraz, Rainer Stiefelhagen:
Anchor-free Small-scale Multispectral Pedestrian Detection. - Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet:
AutoSimulate: (Quickly) Learning Synthetic Data Generation. - Nithin V. Sabu, Abhishek K. Gupta:
Detection Probability in a Molecular Communication via Diffusion System with Multiple Fully-absorbing Receivers. - Sho Sonoda, Ming Li, Feilong Cao, Changqin Huang, Yu Guang Wang:
On the Approximation Lower Bound for Neural Nets with Random Weights. - Shuo Zhang, Krisztian Balog, Jamie Callan:
Generating Categories for Sets of Entities. - Gael Kamdem De Teyou, Yuliya Tarabalka, Isabelle Manighetti, Rafael Almar, Sébastien Tripodi:
Deep Neural Networks for automatic extraction of features in time series satellite images. - Qingjie Meng, Daniel Rueckert, Bernhard Kainz:
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment. - Lucas Rafael Costella Pessutto, Tiago de Melo, Viviane P. Moreira, Altigran S. da Silva:
BabelEnconding at SemEval-2020 Task 3: Contextual Similarity as a Combination of Multilingualism and Language Models. - Thang Bui, Scott D. Stoller:
Learning Attribute-Based and Relationship-Based Access Control Policies with Unknown Values. - Hao Wang, Jingrong Chen, Xinchen Wan, Han Tian, Jiacheng Xia, Gaoxiong Zeng, Weiyan Wang, Kai Chen, Wei Bai, Junchen Jiang:
Domain-specific Communication Optimization for Distributed DNN Training. - Duncan Eddy, Mykel J. Kochenderfer:
A Maximum Independent Set Method for Scheduling Earth Observing Satellite Constellations. - Asif Shahriyar Sushmit, Partho Ghosh, Md. Abrar Istiak, Nayeeb Rashid, Ahsan Habib Akash, Taufiq Hasan:
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras. - Xiaoling Hu, Junwei Wang, Caijun Zhong:
Statistical CSI based Design for Intelligent Reflecting Surface Assisted MISO Systems. - Dali Wang:
MineNav: An Expandable Synthetic Dataset Based on Minecraft for Aircraft Visual Navigation. - Amir Aminzadeh Ghavifekr, Mohammad Ali Badamchizadeh, Ghasem Alizadeh, A. Arjmandi:
Designing inverse dynamic controller with integral action for motion planning of surgical robot in the presence of bounded disturbances. - Chao Zhang, Wenqiang Yi, Yuanwei Liu:
Reconfigurable Intelligent Surfaces Aided Multi-Cell NOMA Networks: A Stochastic Geometry Model. - Benjamin Kurt Miller, Mario Geiger, Tess E. Smidt, Frank Noé:
Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties. - Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
CosyPose: Consistent multi-view multi-object 6D pose estimation. - Cedric Nimpa Fondje, Shuowen Hu, Nathaniel J. Short, Benjamin S. Riggan:
Cross-Domain Identification for Thermal-to-Visible Face Recognition. - Jie Song, Xu Chen, Otmar Hilliges:
Human Body Model Fitting by Learned Gradient Descent. - Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. - Yuhsiang Mike Tsai, Terry Cojean, Hartwig Anzt:
Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse Linear Algebra Computations. - Christine T. Cheng, Will Rosenbaum:
Simple Counting and Sampling Algorithms for Graphs with Bounded Pathwidth. - Christine T. Cheng, Will Rosenbaum:
Stable Matchings with Restricted Preferences: Structure and Complexity. - Nikita Kruk, José A. Carrillo, Heinz Koeppl:
A Finite Volume Method for Continuum Limit Equations of Nonlocally Interacting Active Chiral Particles. - Alessandro Zavoli, Lorenzo Federici:
Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions. - Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas:
Learning Trailer Moments in Full-Length Movies. - Sara Giuliani, Shunsuke Inenaga, Zsuzsanna Lipták, Nicola Prezza, Marinella Sciortino, Anna Toffanello:
Novel Results on the Number of Runs of the Burrows-Wheeler-Transform. - Célestin Marot, Jean-François Remacle:
Quality tetrahedral mesh generation with HXT. - Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices. - Hugo Jair Escalante:
Automated Machine Learning - a brief review at the end of the early years. - Marta Golabek, Robin Senge, Rainer Neumann:
Demand Forecasting using Long Short-Term Memory Neural Networks. - Anna Zhu, Hang Du, Shengwu Xiong:
Scene Text Detection with Selected Anchor. - Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena:
Tractable Inference in Credal Sentential Decision Diagrams. - Boqiang Xu, Lingxiao He, Xingyu Liao, Wu Liu, Zhenan Sun, Tao Mei:
Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification. - Andreas Nuyts:
The Transpension Type: Technical Report. - Andreas Nuyts, Dominique Devriese:
Transpension: The Right Adjoint to the Pi-type. - Ahmed A. A. Osman, Timo Bolkart, Michael J. Black:
STAR: Sparse Trained Articulated Human Body Regressor. - Wah Meng Lim, Harish Tayyar Madabushi:
UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information. - Shiqi Zhang, Mohan Sridharan:
A Survey of Knowledge-based Sequential Decision Making under Uncertainty. - Himan Abdollahpouri:
Popularity Bias in Recommendation: A Multi-stakeholder Perspective. - Baoliang Chen, Haoliang Li, Hongfei Fan, Shiqi Wang:
No-reference Quality Assessment with Unsupervised Domain Adaptation. - Ying Qu, Razieh Kaviani Baghbaderani, Wei Li, Lianru Gao, Hairong Qi:
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification. - Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Lagrange Coded Computing. - Wei Li, Brian Mak:
Transformer based Multilingual document Embedding model. - Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector. - Thatchaphol Saranurak:
A Simple Deterministic Algorithm for Edge Connectivity. - James Halverson, Anindita Maiti, Keegan Stoner:
Neural Networks and Quantum Field Theory. - (Withdrawn) A Survey on Text Simplification.
- Yida Huang, Haoyan Xu, Ziheng Duan, Anni Ren, Jie Feng, Qianru Zhang, Xiaoqian Wang:
Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks. - Steven W. Zucker:
On Qualitative Shape Inferences: a journey from geometry to topology. - Mary Akinyemi, Chika Yinka-Banjo, Ogban-Asuquo Ugot, Akwarandu Ugo Nwachuku:
Estimating the time-lapse between medical insurance reimbursement with non-parametric regression models. - Guangyi Zhang, S. Ali Etemad:
RFNet: Riemannian Fusion Network for EEG-based Brain-Computer Interfaces. - Fareed Qararyah, Mohamed Wahib, Doga Dikbayir, Mehmet Esat Belviranli, Didem Unat:
A Computational-Graph Partitioning Method for Training Memory-Constrained DNNs. - Qahhar Muhammad Qadir, Tarik A. Rashid, Nawzad K. Al-Salihi, Birzo Ismael, Alexander A. Kist, Zhongwei Zhang:
Low Power Wide Area Networks: A Survey of Enabling Technologies, Applications and Interoperability Needs. - Amparo Gil, Javier Segura, Nico M. Temme:
Fast and reliable high accuracy computation of Gauss-Jacobi quadrature. - Shervin Rahimzadeh Arashloo:
𝓁1-Norm Multiple Kernel One-Class Fisher Null-Space. - Amir Jalaly Bidgoly, Zoleikha Rahmanian:
A Robust Opinion Spam Detection Method Against Malicious Attackers in Social Media. - Leonardo A. F. Leite, Gustavo Pinto, Fabio Kon, Paulo Meirelles:
The Organization of Software Teams in the Quest for Continuous Delivery: A Grounded Theory Approach. - Thomas Dybdahl Ahle, Jakob Bæk Tejs Knudsen, Mikkel Thorup:
The Power of Hashing with Mersenne Primes. - Ozan Tuncer, Anthony Byrne, Nilton Bila, Sastry S. Duri, Canturk Isci, Ayse K. Coskun:
ConfEx: A Framework for Automating Text-based Software Configuration Analysis in the Cloud. - Maximilian Schleich, Dan Olteanu:
LMFAO: An Engine for Batches of Group-By Aggregates. - Musadig Aliyev, Elvin Ahmadov, Habil Gadirli, Arzu Mammadova, Emin Alasgarov:
Segmenting Bank Customers via RFM Model and Unsupervised Machine Learning. - Hyunsung Lee:
Intelligent Replication Management for HDFS Using Reinforcement Learning. - Mohammad Sayad Haghighi, Orwa Nader, Alireza Jolfaei:
A Computationally Intelligent Hierarchical Authentication and Key Establishment Framework for Internet of Things. - Anders Andreassen, Ethan Dyer:
Asymptotics of Wide Convolutional Neural Networks. - Kaushik Sinha, Parikshit Ram:
Neural Neighborhood Encoding for Classification. - Ryo Suzuki, Rubaiat Habib Kazi, Li-Yi Wei, Stephen DiVerdi, Wilmot Li, Daniel Leithinger:
RealitySketch: Embedding Responsive Graphics and Visualizations in AR through Dynamic Sketching. - Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu:
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. - Sven Weinzierl, Sebastian Dunzer, Sandra Zilker, Martin Matzner:
Prescriptive Business Process Monitoring for Recommending Next Best Actions. - Ryo Suzuki, Hooman Hedayati, Clement Zheng, James L. Bohn, Daniel Szafir, Ellen Yi-Luen Do, Mark D. Gross, Daniel Leithinger:
RoomShift: Room-scale Dynamic Haptics for VR with Furniture-moving Swarm Robots. - Debobroto Das Robin, Javed I. Khan:
Toward an Abstract Model of Programmable Data Plane Devices. - Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely:
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails. - Zixian Cai, Zhengyang Liu, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi:
Synthesizing Optimal Collective Algorithms. - Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Using Ensemble Classifiers to Detect Incipient Anomalies. - Yingshui Tan, Baihong Jin, Qiushi Cui, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli:
Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation. - Sudipta Paul, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury:
Text-based Localization of Moments in a Video Corpus. - Lisa Claus, Matthias Bolten:
Non-overlapping block smoothers for the Stokes equations. - William Kretschmer:
The Quantum Supremacy Tsirelson Inequality. - Aparna Elangovan, Melissa J. Davis, Karin Verspoor:
Assigning function to protein-protein interactions: a weakly supervised BioBERT based approach using PubMed abstracts. - Jing Lai, Junlin Xiong, Zhan Shu:
Model-free optimal control of discrete-time systems with additive and multiplicative noises. - Shuangjun Liu, Xiaofei Huang, Nihang Fu, Cheng Li, Zhongnan Su, Sarah Ostadabbas:
Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions. - Seth Pettie, Dingyu Wang, Longhui Yin:
Simple and Efficient Cardinality Estimation in Data Streams. - Junyuan Gao, Yongpeng Wu, Wenjun Zhang:
Energy-efficiency of Massive Random Access with Individual Codebook. - Xinyu Xie, Yongpeng Wu, Junyuan Gao, Wenjun Zhang:
Massive Unsourced Random Access for Massive MIMO Correlated Channels. - Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia:
Understanding the Advisor-advisee Relationship via Scholarly Data Analysis. - Yiran Wang, Eric T. Chung, Shubin Fu:
A comparison of mixed multiscale finite element methods for multiphase transport in highly heterogeneous media. - Jeffrey M. Dudek, Vu H. N. Phan, Moshe Y. Vardi:
DPMC: Weighted Model Counting by Dynamic Programming on Project-Join Trees. - Ramin Zarei Sabzevar, Kamaledin Ghiasi-Shirazi, Ahad Harati:
Prototype-based interpretation of the functionality of neurons in winner-take-all neural networks. - Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Xiaoxi Ji, Alex Liu, Hao Wang, Cheng Hong:
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. - Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh:
On 𝓁p-norm Robustness of Ensemble Stumps and Trees. - Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon:
iCaps: An Interpretable Classifier via Disentangled Capsule Networks. - Masato Tajima:
Corrections to "An Innovations Approach to Viterbi Decoding of Convolutional Codes". - Jianxiong Guo, Xingjian Ding, Weili Wu:
Reliable Traffic Monitoring Mechanisms Based on Blockchain in Vehicular Networks. - Prarthana Bhattacharyya, Krzysztof Czarnecki:
Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations. - Alexandre Lopes, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo, Hélio Pedrini:
Lite Training Strategies for Portuguese-English and English-Portuguese Translation. - Qingsong Xu, Xin Yuan, Chaojun Ouyang, Yue Zeng:
Spatial-spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images. - Monica Perusquía-Hernández, Felix Dollack, Chun Kwang Tan, Shushi Namba, Saho Ayabe-Kanamura, Kenji Suzuki:
Facial movement synergies and Action Unit detection from distal wearable Electromyography and Computer Vision. - Tao Li, Keli Fu, Xiaozheng Fu:
Distributed Stochastic Subgradient Optimization Algorithms Over Random and Noisy Networks. - Ryoga Mahara:
Existence of EFX for Two Additive Valuations. - Tingting Hao, Manman Ma, Xuejun Xu:
Adaptive finite element approximation for steady-state Poisson-Nernst-Planck equations. - Christoph Schmidt, Paul Rosenthal, Heidrun Schumann:
Varying Annotations in the Steps of the Visual Analysis. - Benjamin Zi Hao Zhao, Mohamed Ali Kâafar, Nicolas Kourtellis:
Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning. - Tianze Zhou, Fubiao Zhang, Chenfei Wang:
Multi-Agent Reinforcement Learning with Graph Clustering. - Son T. Luu, Kiet Van Nguyen, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen:
An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension. - Rahul Kumar Gautam, Anjeneya Swami Kare, S. Durga Bhavani:
Faster Heuristics for Graph Burning. - Liting Sun, Zheng Wu, Hengbo Ma, Masayoshi Tomizuka:
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference. - Haiyue Zhu, Yiting Li, Fengjun Bai, Wenjie Chen, Xiaocong Li, Jun Ma, Chek Sing Teo, Pey Yuen Tao, Wei Lin:
Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation. - Alessio Arleo, Walter Didimo, Giuseppe Liotta, Silvia Miksch, Fabrizio Montecchiani:
VAIM: Visual Analytics for Influence Maximization. - Alin Bostan, Ryuhei Mori:
A Simple and Fast Algorithm for Computing the N-th Term of a Linearly Recurrent Sequence. - Georgios Albanis, Nikolaos Zioulis, Anastasios Dimou, Dimitrios Zarpalas, Petros Daras:
DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss. - Peter Benner, Carolin Penke:
Efficient and Accurate Algorithms for Solving the Bethe-Salpeter Eigenvalue Problem for Crystalline Systems. - ShiJie Sun, Naveed Akhtar, Xiangyu Song, HuanSheng Song, Ajmal Mian, Mubarak Shah:
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking. - Oswin Aichholzer, Michael Hoffmann, Johannes Obenaus, Rosna Paul, Daniel Perz, Nadja Seiferth, Birgit Vogtenhuber, Alexandra Weinberger:
Plane Spanning Trees in Edge-Colored Simple Drawings of Kn. - Pedro Valero:
On the Use of Quasiorders in Formal Language Theory. - Wentao Weng, Xingyu Zhou, R. Srikant:
Optimal Load Balancing in Bipartite Graphs. - Xin Zhou, Zhepei Wang, Chao Xu, Fei Gao:
EGO-Planner: An ESDF-free Gradient-based Local Planner for Quadrotors. - Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup:
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. - Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup:
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks. - Qizhang Li, Yiwen Guo, Hao Chen:
Yet Another Intermediate-Level Attack. - Thomas Bolander, Robin Engelhardt, Thomas S. Nicolet:
The Curse of Shared Knowledge: Recursive Belief Reasoning in a Coordination Game with Imperfect Information. - Liesbeth Allein, Marie-Francine Moens:
Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets. - Stefan Karlsson, Adnan Causevic, Daniel Sundmark, Mårten Larsson:
Model-based Automated Testing of Mobile Applications: An Industrial Case Study. - Xinhui Song, Tianyang Shi, Zunlei Feng, Mingli Song, Jackie Lin, Chuanjie Lin, Changjie Fan, Yi Yuan:
Unsupervised Learning Facial Parameter Regressor for Action Unit Intensity Estimation via Differentiable Renderer. - Satheesh K. Perepu, Bala Shyamala Balaji, Hemanth Kumar Tanneru, Sudhakar Kathari, Vivek Shankar Pinnamaraju:
Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting. - Md. Kamrul Islam, Sabeur Aridhi, Malika Smaïl-Tabbone:
A comparative study of similarity-based and GNN-based link prediction approaches. - Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Christian Theobalt:
PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time. - Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun:
Does MAML really want feature reuse only? - Kris Nikov, Mohammad Hosseinabady, Rafael Asenjo, Andrés Rodríguez, Angeles G. Navarro, José L. Núñez-Yáñez:
High-Performance Simultaneous Multiprocessing for Heterogeneous System-on-Chip. - Lev Teplyakov, Kirill V. Kaymakov, Evgeny A. Shvets, Dmitry P. Nikolaev:
Line detection via a lightweight CNN with a Hough Layer. - Sayak Ray Chowdhury, Aditya Gopalan:
No-regret Algorithms for Multi-task Bayesian Optimization. - Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon, Duncan Roweth, Torsten Hoefler:
An In-Depth Analysis of the Slingshot Interconnect. - Tingxiang Fan, Zhiming Chen, Xuan Zhao, Jing Liang, Cong Shen, Dinesh Manocha, Jia Pan, Wei Zhang:
Autonomous Social Distancing in Urban Environments using a Quadruped Robot. - Andreas Papadimitriou, George Nikolakopoulos:
Switching Model Predictive Control for Online Structural Reformations of a Foldable Quadrotor. - Kenya Tajima, Yoshihiro Hirohashi, Esmeraldo Ronnie Rey Zara, Tsuyoshi Kato:
Frank-Wolfe algorithm for learning SVM-type multi-category classifiers. - Juri Opitz, Anette Frank:
Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR. - Minesh Mathew, Rubèn Tito, Dimosthenis Karatzas, R. Manmatha, C. V. Jawahar:
Document Visual Question Answering Challenge 2020. - Mozhgan Bayat, Kai Wan, Giuseppe Caire:
Coded Caching over Multicast Routing Networks. - Prabhat Kumar, Christina Schmidleithner, Niels Bent Larsen, Ole Sigmund:
Topology Optimization and 3D-printing of Large Deformation Compliant Mechanisms for Straining Biological Tissues. - Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim:
Generative Adversarial Networks for Spatio-temporal Data: A Survey. - Zezhong Zhang, Seung-Woo Ko, Rui Wang, Kaibin Huang:
Cooperative Multi-Point Vehicular Positioning Using Millimeter-Wave Surface Reflection (Extended version). - Zijing Wang, Mihai-Alin Badiu, Justin P. Coon:
A Value of Information Framework for Latent Variable Models. - Guangshuai Gao, Wenting Zhao, Qingjie Liu, Yunhong Wang:
Co-Saliency Detection with Co-Attention Fully Convolutional Network. - Alexey A. Bobtsov, Nikolay A. Nikolaev, Romeo Ortega, Denis V. Efimov:
State Observation of LTV Systems with Delayed Measurements: A Parameter Estimation-based Approach. - Wissam Maamar Kouadri, Salima Benbernou, Mourad Ouziri, Themis Palpanas, Iheb Ben Amor:
SentiQ: A Probabilistic Logic Approach to Enhance Sentiment Analysis Tool Quality. - Lucca Portes Cavalheiro, Jean Paul Barddal, Alceu de Souza Britto Jr., Laurent Heutte:
scikit-dyn2sel - A Dynamic Selection Framework for Data Streams. - Xiao Tan, Dimos V. Dimarogonas:
Construction of control barrier function and C2 reference trajectory for constrained attitude maneuvers. - Jurriaan Hage:
Proceedings Eighth and Ninth International Workshop on Trends in Functional Programming in Education, TFPIE 2020, Vancouver, Canada and Krakow, Poland, 11th June 2019 and 12th February 2020. EPTCS 321, 2020 [contents] - Ziqiang Li, Rentuo Tao, Bin Li:
Regularization And Normalization For Generative Adversarial Networks: A Review. - Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai:
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. - Justin K. Terry, Benjamin Black, Ananth Hari:
SuperSuit: Simple Microwrappers for Reinforcement Learning Environments. - Vinh-Thong Ta:
DataProVe: A Data Protection Policy and System Architecture Verification Tool. - Christopher K. Frantz, Saba N. Siddiki:
Institutional Grammar 2.0 Codebook. - Dimitra Apostolopoulou, Rahmat Poudineh, Anupama Sen:
Distributed Vehicle Grid Integration Over Communication and Physical Networks. - Hui Lv, Chuanwei Zhou, Chunyan Xu, Zhen Cui, Jian Yang:
Localizing Anomalies from Weakly-Labeled Videos. - Hamdi Joudeh, Giuseppe Caire:
Cellular Networks With Finite Precision CSIT: GDoF Optimality of Multi-Cell TIN and Extremal Gains of Multi-Cell Cooperation. - Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. - Ching-Lun Tai, Tzu-Han Wang, Yu-Hua Huang:
An Overview of Generalized Frequency Division Multiplexing (GFDM). - Rahim Mammadli, Ali Jannesari, Felix Wolf:
Static Neural Compiler Optimization via Deep Reinforcement Learning. - Boris Ryabko:
Linear hash-functions and their applications to error detection and correction. - Siddharth Vohra, Manikandan Ravikiran:
Investigating the Effect of Intraclass Variability in Temporal Ensembling. - Jinhe Shi, Xiangyu Gao, Chenyu Ha, Yage Wang, Guodong Gordon Gao, Yi Chen:
Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim Codes. - Jonathan Klawitter, Peter Stumpf:
Drawing Tree-Based Phylogenetic Networks with Minimum Number of Crossings. - Rahul Jain, Srijita Kundu:
A Direct Product Theorem for One-Way Quantum Communication. - Adrian Ebert, Peter Kritzer, Onyekachi Osisiogu, Tetiana Stepaniuk:
Component-by-component digit-by-digit construction of good polynomial lattice rules in weighted Walsh spaces. - Mónika Csikós, Nabil H. Mustafa:
A Simple Proof of Optimal Approximations. - Pedro Moura, Uday Sriram, Javad Mohammadi:
Transactive Community Microgrids to Share Energy Storage Resources in Portugal. - Ryan Self, S. M. Nahid Mahmud, Katrine Hareland, Rushikesh Kamalapurkar:
Online inverse reinforcement learning with limited data. - Evita Bakopoulou, Anastasia Shuba, Athina Markopoulou:
Exposures Exposed: A Measurement and User Study to Assess Mobile Data Privacy in Context. - Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen:
ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data. - Gioele Zardini, Nicolas Lanzetti, Andrea Censi, Emilio Frazzoli, Marco Pavone:
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions. - Naitik Bhise, Zhenfei Zhang, Tien D. Bui:
Improving Text to Image Generation using Mode-seeking Function. - Yuan Zhou, Mingfei Wang, Ruolin Wang, Shuwei Huo:
Generating Adjacency Matrix for Video-Query based Video Moment Retrieval. - Xiang Zhang, Nicholas Woolsey, Mingyue Ji:
Cache-aided Interference Management using Hypercube Combinatorial Cache Design with Reduced Subpacketizations and Order Optimal Sum-Degrees of Freedom. - Bas J. Dietzenbacher, Aleksei Y. Kondratev:
Fair and consistent prize allocation in competitions. - Amir Gilad, Yuval Moskovitch:
Towards Inferring Queries from Simple and Partial Provenance Examples. - Seunghak Yu, Tianxing He, James R. Glass:
Constructing a Knowledge Graph from Unstructured Documents without External Alignment. - Qian Zheng, Weikai Wu, Hanting Pan, Niloy J. Mitra, Daniel Cohen-Or, Hui Huang:
Object Properties Inferring from and Transfer for Human Interaction Motions. - Michael A. Bekos, Carla Binucci, Giuseppe Di Battista, Walter Didimo, Martin Gronemann, Karsten Klein, Maurizio Patrignani, Ignaz Rutter:
On Turn-Regular Orthogonal Representations. - Nick Brettell, Andrea Munaro, Daniël Paulusma:
Solving problems on generalized convex graphs via mim-width. - Saeed Akhoondian Amiri:
On Fine-Grained Exact Computation in Regular Graphs. - Marco Maggipinto, Matteo Terzi, Gian Antonio Susto:
β-Variational Classifiers Under Attack. - Andrea Mambrini, Andrea Baronchelli, Michele Starnini, Daniele Marinazzo, Manlio De Domenico:
PRINCIPIA: a Decentralized Peer-Review Ecosystem. - Julia Lieb, Joachim Rosenthal:
Erasure decoding of convolutional codes using first order representations. - Gourab Ghosh, Ravindra Duddu, Chandrasekhar Annavarapu:
A stabilized finite element method for delamination analysis of composites using cohesive elements. - Mekaal Swerhun, Jasmine Foley, Brandon Massop, Vijay Mago:
A summary of the prevalence of Genetic Algorithms in Bioinformatics from 2015 onwards. - Lu Duan, Haoyuan Hu, Zili Wu, Guozheng Li, Xinhang Zhang, Yu Gong, Yinghui Xu:
Balanced Order Batching with Task-Oriented Graph Clustering. - Sezana Fahmida, Venkata P. Modekurthy, Mahbubur Rahman, Abusayeed Saifullah, Marco Brocanelli:
Long-Lived LoRa: Prolonging the Lifetime of a LoRa Network. - Md. Khaledur Rahman:
Training Sensitivity in Graph Isomorphism Network. - Marcelo Schreiber Fernandes, Weverton Cordeiro, Mariana Recamonde Mendoza:
Detecting Aedes Aegypti Mosquitoes through Audio Classification with Convolutional Neural Networks. - Rajdeep Mukherjee, Sriyash Poddar, Atharva Naik, Soham Dasgupta:
How Have We Reacted To The COVID-19 Pandemic? Analyzing Changing Indian Emotions Through The Lens of Twitter. - Benjamin Heinzerling, Kentaro Inui:
Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries. - Matthew Hutchinson, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Andrew C. Kirby, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Albert Reuther, Charles Yee, Vijay Gadepally:
Accuracy and Performance Comparison of Video Action Recognition Approaches. - (Withdrawn) Battery State of Charge Modeling for Solar PV Array using Polynomial Regression.
- Alexandra Sasha Luccioni, Joseph Bullock, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel A. Luengo-Oroz:
Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19. - Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee:
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose. - Jer Shyuan Ng, Wei Yang Bryan Lim, Nguyen Cong Luong, Zehui Xiong, Alia Asheralieva, Dusit Niyato, Cyril Leung, Chunyan Miao:
A Survey of Coded Distributed Computing. - Nishant Subramani, Nivedita Suresh:
Discovering Useful Sentence Representations from Large Pretrained Language Models. - Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai:
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. - Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas, Michael J. Black:
Monocular Expressive Body Regression through Body-Driven Attention. - Muhammad Nazrul Islam, Iyolita Islam, Kazi Md. Munim, A. K. M. Najmul Islam:
A review on the mobile applications developed for COVID-19: An exploratory analysis. - Toby Walsh:
Adventures in Mathematical Reasoning. - Pablo Krupa, Ignacio Alvarado, Daniel Limón, Teodoro Alamo:
Implementation of model predictive control for tracking in embedded systems using a sparse extended ADMM algorithm. - Muhammad Sabih, Frank Hannig, Jürgen Teich:
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks. - Prakhar Gupta, Jeffrey P. Bigham, Yulia Tsvetkov, Amy Pavel:
Controlling Dialogue Generation with Semantic Exemplars. - Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton:
Do Syntax Trees Help Pre-trained Transformers Extract Information? - Wentao Yuan, Benjamin Eckart, Kihwan Kim, Varun Jampani, Dieter Fox, Jan Kautz:
DeepGMR: Learning Latent Gaussian Mixture Models for Registration. - Rilwan Adewoyin, Peter Dueben, Peter Watson, Yulan He, Ritabrata Dutta:
TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall. - Jeevan Devaranjan, Amlan Kar, Sanja Fidler:
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation. - Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun:
PARADE: Passage Representation Aggregation for Document Reranking. - Nicholas Lourie, Ronan Le Bras, Yejin Choi:
Scruples: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. - Mahsan Nourani, Joanie T. King, Eric D. Ragan:
The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems. - Yunxiao Li, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin:
A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video Data. - S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. - Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan, Chuang Gan:
Location-aware Graph Convolutional Networks for Video Question Answering. - Tewodros Habtegebrial, Varun Jampani, Orazio Gallo, Didier Stricker:
Generative View Synthesis: From Single-view Semantics to Novel-view Images. - Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun:
Weakly-supervised 3D Shape Completion in the Wild. - Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein:
Inducing Language-Agnostic Multilingual Representations. - Diedre Carmo, Marcos Piau, Israel Campiotti, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo:
PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data. - Yunzhe Xue, Meiyan Xie, Usman Roshan:
Towards adversarial robustness with 01 loss neural networks. - Houda Alberts, Teresa Huang, Yash Deshpande, Yibo Liu, Kyunghyun Cho, Clara Vania, Iacer Calixto:
VisualSem: a high-quality knowledge graph for vision and language. - Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. - Houda Alberts, Iacer Calixto:
ImagiFilter: A resource to enable the semi-automatic mining of images at scale. - Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz:
Causal Future Prediction in a Minkowski Space-Time. - Qahhar Muhammad Qadir, Alexander A. Kist, Zhongwei Zhang:
Mechanisms for QoE optimisation of Video Traffic: A review paper. - Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan R. Mayer:
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset. - Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar:
NoPeek: Information leakage reduction to share activations in distributed deep learning. - Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall:
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform. - Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim:
PyTorch Metric Learning. - Georgios Papagiannis, Yunpeng Li:
Imitation Learning with Sinkhorn Distances. - Davide Rigoni, Nicolò Navarin, Alessandro Sperduti:
A Systematic Assessment of Deep Learning Models for Molecule Generation. - Roya Sabbagh Novin, Ellen Taylor, Tucker Hermans, Andrew Merryweather:
Development of a Novel Computational Model for Evaluating Fall Risk in Patient Room Design. - Matthew Middlehurst, James Large, Anthony J. Bagnall:
The Canonical Interval Forest (CIF) Classifier for Time Series Classification. - Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Detecting natural disasters, damage, and incidents in the wild. - Qahhar Muhammad Qadir, Alexander A. Kist, Zhongwei Zhang:
A quality of experience-aware cross-layer architecture for optimizing video streaming services. - Craig Laprade, Benjamin Bowman, H. Howie Huang:
PicoDomain: A Compact High-Fidelity Cybersecurity Dataset. - Baiwu Zhang, Jin Peng Zhou, Ilia Shumailov, Nicolas Papernot:
Not My Deepfake: Towards Plausible Deniability for Machine-Generated Media. - Justin Engelmann, Stefan Lessmann:
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning. - Massimiliano Morrelli:
Addestramento con Dataset Sbilanciati. - Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, Matei Zaharia:
Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. - Ryan Brummet, Md Kowsar Hossain, Octav Chipara, Ted Herman, David E. Steward:
Recorp: Receiver-Oriented Policies for Industrial Wireless Networks. - Mohammad Ali Abooshahab, Mohammed M. J. Alyaseen, Robert R. Bitmead, Morten Hovd:
Simultaneous input & state estimation, singular filtering and stability. - Bingbing Zhuang, Quoc-Huy Tran:
Image Stitching and Rectification for Hand-Held Cameras. - Jialu Bao, Simon Docherty, Justin Hsu, Alexandra Silva:
A Logic to Reason about Dependence and Independence. - John E. Wenskovitch, Chris North:
An Examination of Grouping and Spatial Organization Tasks for High-Dimensional Data Exploration. - Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh:
Learning to Abstract and Predict Human Actions. - Sayali Kulkarni, Shailee Jain, Mohammad Javad Hosseini, Jason Baldridge, Eugene Ie, Li Zhang:
Spatial Language Representation with Multi-Level Geocoding. - Zuohui Fu, Yikun Xian, Yaxin Zhu, Yongfeng Zhang, Gerard de Melo:
COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce. - Jim de Groot, Helle Hvid Hansen, Alexander Kurz:
Logic-Induced Bisimulations. - Andrew W. Berning Jr., Dominic Liao-McPherson, Anouck Girard, Ilya V. Kolmanovsky:
Suboptimal Nonlinear Model Predictive Control Strategies for Tracking Near Rectilinear Halo Orbits. - Tushar Nagarajan, Kristen Grauman:
Learning Affordance Landscapes forInteraction Exploration in 3D Environments. - Lingxiao Li, Donghang Zhang, Weiying Zheng:
A constrained transport divergence-free finite element method for Incompressible MHD equations. - Jie Xu, Wei Zhang, Fei Wang:
A(DP)2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy. - Xiaoling Hu, Caijun Zhong, Yu Zhang, Xiaoming Chen, Zhaoyang Zhang:
Location Information Aided Multiple Intelligent Reflecting Surface Systems. - Xinya Du, Alexander M. Rush, Claire Cardie:
Document-level Event-based Extraction Using Generative Template-filling Transformers. - Yuanhao Wang, Kefan Dong:
Refined Analysis of FPL for Adversarial Markov Decision Processes. - Oliver Westphal, Janis Voigtländer:
Describing Console I/O Behavior for Testing Student Submissions in Haskell. 19-36 - Marco T. Morazán, Joshua M. Schappel, Sachin Mahashabde:
Visual Designing and Debugging of Deterministic Finite-State Machines in FSM. 55-77 - Allan Borodin, Calum MacRury, Akash Rakheja:
Greedy Approaches to Online Stochastic Matching. - Aakanksha Naik, Jill Lehman, Carolyn P. Rosé:
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift. - Meihui Zhang, Zhongle Xie, Cong Yue, Ziyue Zhong:
Spitz: A Verifiable Database System. - Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler:
Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid. - Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher:
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. - Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Defending Regression Learners Against Poisoning Attacks. - Qiaochu Wang, Yan Huang, Stefanus Jasin, Param Vir Singh:
Algorithmic Transparency with Strategic Users. - Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie:
Defending Distributed Classifiers Against Data Poisoning Attacks. - Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman:
Occupancy Anticipation for Efficient Exploration and Navigation. - Nathaniel J. Bloomfield, Susan Wei, Bartholomew Woodham, Peter Wilkinson, Andrew Robinson:
Automating the assessment of biofouling in images using expert agreement as a gold standard. - Mohan Zhang, Luchen Tan, Zhengkai Tu, Zihang Fu, Kun Xiong, Ming Li, Jimmy Lin:
To Paraphrase or Not To Paraphrase: User-Controllable Selective Paraphrase Generation. - Kishor Jothimurugan, Rajeev Alur, Osbert Bastani:
A Composable Specification Language for Reinforcement Learning Tasks. - Connor Kurtz, Houssam Abbas:
FairFly: A Fair Motion Planner for Fleets of Autonomous UAVs in Urban Airspace. - (Withdrawn) Optimal algorithm for computing Steiner 3-eccentricities of trees.
- Dou Xu, Chang Cai, Chaowei Fang, Bin Kong, Jihua Zhu, Zhongyu Li:
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics. - Hengli Wang, Yuxuan Liu, Huaiyang Huang, Yuheng Pan, Wenbin Yu, Jialin Jiang, Dianbin Lyu, Mohammud Junaid Bocus, Ming Liu, Ioannis Pitas, Rui Fan:
ATG-PVD: Ticketing Parking Violations on A Drone. - Shirley Liu, Charles Lehman, Ghassan AlRegib:
Robustness and Overfitting Behavior of Implicit Background Models. - Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee:
InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image. - Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Chris Sweeney:
Domain Adaptation of Learned Features for Visual Localization. - Geonho Han, Junil Choi:
Radar Imaging Based on IEEE 802.11ad Waveform. - Shiliang Zuo:
Near Optimal Adversarial Attack on UCB Bandits. - Seyed Amir Tafrishi, Xiaotian Dai, Vahid Esmaeilzadeh Kandjani:
Line-Circle-Square (LCS): A Multilayered Geometric Filter for Edge-Based Detection. - Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi:
Explainable Recommender Systems via Resolving Learning Representations. - Aayush Jain, Huijia Lin, Amit Sahai:
Indistinguishability Obfuscation from Well-Founded Assumptions. - Frank Po-Chen Lin, Christopher G. Brinton, Nicolò Michelusi:
Federated Learning with Communication Delay in Edge Networks. - Patrizio Angelini, Giordano Da Lozzo, Henry Förster, Thomas Schneck:
2-Layer k-Planar Graphs: Density, Crossing Lemma, Relationships, and Pathwidth. - Zishan Ahmad, Mukuntha N. S., Asif Ekbal, Pushpak Bhattacharyya:
Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation. - Haoran Li, Abhinav Arora, Shuohui Chen, Anchit Gupta, Sonal Gupta, Yashar Mehdad:
MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark. - Francesco Malandrino, Carla-Fabiana Chiasserini, Gian Michele Dell'Aera:
An Edge-powered Approach to Assisted Driving. - Ayyoob Hamza, Hassan Habibi Gharakheili, Vijay Sivaraman:
IoT Network Security: Requirements, Threats, and Countermeasures. - Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. - Dingheng Wang, Bijiao Wu, Guangshe Zhao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li:
Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs. - René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. - Bo-Rong Chen, Yih-Chun Hu:
BlindSignedID: Mitigating Denial-of-Service Attacks on Digital Contact Tracing. - Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao:
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples. - Pierre Monmarché, Mathias Rousset, Pierre-André Zitt:
Exact targeting of Gibbs distributions using velocity-jump processes. - Ben Jacobsen, Markus Wallinger, Stephen G. Kobourov, Martin Nöllenburg:
MetroSets: Visualizing Sets as Metro Maps. - Xu He, Bo An, Yanghua Li, Haikai Chen, Qingyu Guo, Xin Li, Zhirong Wang:
Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. - Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang:
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. - Ke-Chi Chang, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, Hwann-Tzong Chen:
Learning Camera-Aware Noise Models. - Neeraj Varshney, Swaroop Mishra, Chitta Baral:
It's better to say "I can't answer" than answering incorrectly: Towards Safety critical NLP systems. - Wietse M. Boon, Dennis Gläser, Rainer Helmig, Ivan Yotov:
Flux-mortar mixed finite element methods on non-matching grids. - Ikram Singh, Peter J. Smith, Pawel A. Dmochowski:
Optimal SNR Analysis for Single-user RIS Systems. - Binyamin Manela, Armin Biess:
Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks. - Peng Xu, Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Pascale Fung:
EmoGraph: Capturing Emotion Correlations using Graph Networks. - Takahiro Shintaku, Yuichi Sudo, Hirotsugu Kakugawa, Toshimitsu Masuzawa:
Efficient Dispersion of Mobile Agents without Global Knowledge. - Julia Lust, Alexandru Paul Condurache:
A Survey on Assessing the Generalization Envelope of Deep Neural Networks at Inference Time for Image Classification. - Florian Schäfer, Jan-Hendrik Menke, Martin Braun:
Evaluating Machine Learning Models for the Fast Identification of Contingency Cases. - Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Zehong Cao, Weiping Ding:
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network. - Nicolás E. Díaz Ferreyra, Rene Meis, Maritta Heisel:
Learning from Online Regrets: From Deleted Posts to Risk Awareness in Social Network Sites. - Evgenii Safronov, Michele Colledanchise, Lorenzo Natale:
Task Planning with Belief Behavior Trees. - Ziqian Zeng, Wenxuan Zhou, Xin Liu, Zizheng Lin, Yangqiu Song, Michael David Kuo, Wan Hang Keith Chiu:
A Variational Approach to Unsupervised Sentiment Analysis. - Uri Shaham, Omer Levy:
Neural Machine Translation without Embeddings. - Jiaming Han, Jian Ding, Jie Li, Gui-Song Xia:
Align Deep Features for Oriented Object Detection. - Tommaso Campari, Paolo Eccher, Luciano Serafini, Lamberto Ballan:
Exploiting Scene-specific Features for Object Goal Navigation. - Sixian Li, Bin Duo, Marco Di Renzo, Meixia Tao, Xiaojun Yuan:
Robust Secure UAV Communications with the Aid of Reconfigurable Intelligent Surfaces. - Emanuele Balloni, Giuseppe Di Battista, Maurizio Patrignani:
A Tipping Point for the Planarity of Small and Medium Sized Graphs. - Anne Driemel, Ioannis Psarros:
(2+ε)-ANN for time series under the Fréchet distance. - Ruo Ando, Yoshiyasu Takefuji:
A constrained recursion algorithm for batch normalization of tree-sturctured LSTM. - Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao:
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. - Yiming Li, Jiawang Bai, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia:
Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning. - Giuseppe Di Battista, Fabrizio Frati, Maurizio Patrignani, Marco Tais:
Schematic Representation of Large Biconnected Graphs. - Jan Bok, Nikola Jedlicková, Barnaby Martin, Daniël Paulusma, Siani Smith:
Acyclic, Star and Injective Colouring: A Complexity Picture for H-Free Graphs. - Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Automatic sleep stage classification with deep residual networks in a mixed-cohort setting. - Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio M. López:
Action-Based Representation Learning for Autonomous Driving. - Hemanth Nadipineni:
Method to Classify Skin Lesions using Dermoscopic images. - Özer Özkahraman, Petter Ögren:
Combining Control Barrier Functions and Behavior Trees for Multi-Agent Underwater Coverage Missions. - Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu:
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification. - Aytül Bozkurt:
Analytical models and performance evaluation of vehicular-to-infrastructure networks with optimal retransmission number. - Ivan V. Timokhin, Sergey A. Matveev, Eugene E. Tyrtyshnikov, Alexander P. Smirnov:
Model reduction in Smoluchowski-type equations. - Gillian Bolsover:
Balancing freedoms, rights and responsibilities during COVID in US: a study of anti- and pro-restriction discourse. - Sajad Amouei Sheshkal, Kazim Fouladi-Ghaleh, Hossein Aghababa:
An Improved Person Re-identification Method by light-weight convolutional neural network. - Myungjae Shin, Joongheon Kim:
Adversarial Imitation Learning via Random Search. - Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy, Grégory Rogez:
DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild. - Taciana Novo Kudo, Renato de Freitas Bulcão-Neto, Auri Marcelo Rizzo Vincenzi:
Metamodel Quality Requirements and Evaluation (MQuaRE). - Peter Hardy, Leandro Soriano Marcolino, José F. Fontanari:
The paradox of productivity during quarantine: an agent-based simulation. - Jan Kretínský, Emanuel Ramneantu, Alexander Slivinskiy, Maximilian Weininger:
Comparison of Algorithms for Simple Stochastic Games (Full Version). - Arnab Kumar Mondal, Prathosh A. P.:
RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns. - Qi Wang, Herke van Hoof:
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables. - Dimo Angelov:
Top2Vec: Distributed Representations of Topics. - Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes:
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation. - Zexi Chen, Xuecheng Xu, Yue Wang, Rong Xiong:
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching. - Xi Chen, Yuwen Li, Corina S. Drapaca, John Cimbala:
A unified framework of continuous and discontinuous Galerkin methods for solving the incompressible Navier-Stokes equation. - Hao Luo, Li Liu:
Counterfactual-based minority oversampling for imbalanced classification. - Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri:
Beyond Individual and Group Fairness. - Jashwant Raj Gunasekaran, Prashanth Thinakaran, Cyan Subhra Mishra, Mahmut Taylan Kandemir, Chita R. Das:
Towards Designing a Self-Managed Machine Learning Inference Serving System inPublic Cloud. - Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel J. Brostow:
Single-Image Depth Prediction Makes Feature Matching Easier. - Guoxing Chen, Yinqian Zhang:
MAGE: Mutual Attestation for a Group of Enclaves without Trusted Third Parties. - Jun-Jie Yu, Han Wang, Mingxiong Zhao, Wen-Tao Li, HuiQi Bao, Li Yin, Mi Wu:
Energy Minimization for Mobile Edge Computing Networks with Time-Sensitive Constraints. - Xinshuo Weng, Yongxin Wang, Yunze Man, Kris Kitani:
Graph Neural Networks for 3D Multi-Object Tracking. - Lance Eliot:
Authorized and Unauthorized Practices of Law: The Role of Autonomous Levels of AI Legal Reasoning. - Xingyu Zhao, Kizito Salako, Lorenzo Strigini, Valentin Robu, David Flynn:
Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles. - Nofar Carmeli, Martin Grohe, Peter Lindner, Christoph Standke:
Tuple-Independent Representations of Infinite Probabilistic Databases. - Eirini Papagiannopoulou, Grigorios Tsoumakas, Apostolos N. Papadopoulos:
Keywords lie far from the mean of all words in local vector space. - Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang, Yongfeng Zhang:
Neural Logic Reasoning. - Ugarte-Rojas Hector, Chullo-Llave Boris:
BLONDiE: Blockchain Ontology with Dynamic Extensibility. - Chuan-Chi Lai, Li-Chun Wang, Zhu Han:
The Coverage Overlapping Problem of Serving Arbitrary Crowds in 3D Drone Cellular Networks. - Olivier Rousselle:
Evaluation of the cumulated impacts on the marine resource of a socio-ecological coral system: approach by agent-based modeling. - B. Subbareddy, Aditya Siripuram, Jingxin Zhang:
Graph learning under spectral sparsity constraints. - Tim De Ryck, Maarten De Vos, Alexander Bertrand:
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation. - Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey:
Deterministic PointNetLK for Generalized Registration. - Md Momen Bhuiyan, Amy X. Zhang, Connie Moon Sehat, Tanushree Mitra:
Investigating Differences in Crowdsourced News Credibility Assessment: Raters, Tasks, and Expert Criteria. - Aaron J. Gutknecht, Michael Wibral, Abdullah Makkeh:
Bits and Pieces: Understanding Information Decomposition from Part-whole Relationships and Formal Logic. - Santosh Sharma, Qifeng Li, Qiuhua Huang, Ahmad Tbaileh:
Achieving Disaster-Resilient Distribution Systems via Emergency Response Resources: A Practical Approach. - Tobias Rapp, Christoph Peters, Carsten Dachsbacher:
Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries. - Jean-Marc Alliot, Marta Cialdea Mayer, Robert Demolombe, Martín Diéguez, Luis Fariñas del Cerro:
A framework for modelling Molecular Interaction Maps. - Tom Baumgartl, Markus Petzold, Marcel Wunderlich, Markus Höhn, Daniel Archambault, M. Lieser, A. Dalpke, Simone Scheithauer, Michael Marschollek, Vanessa Eichel, Nico T. Mutters, Tatiana von Landesberger:
In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals. - Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna A. Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich:
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining. - Paresh Saxena, Mandan Naresh, Manik Gupta, Anirudh Achanta, Sastri Kota, Smrati Gupta:
NANCY: Neural Adaptive Network Coding methodologY for video distribution over wireless networks. - Martín Menchón, Estefanía Talavera, Jose M. Massa, Petia Radeva:
Behavioural pattern discovery from collections of egocentric photo-streams. - Nemanja Stefan Perovic, Le-Nam Tran, Marco Di Renzo, Mark F. Flanagan:
Achievable Rate Optimization for MIMO Systems with Reconfigurable Intelligent Surfaces. - Wolfgang Roth, Franz Pernkopf:
Differentiable TAN Structure Learning for Bayesian Network Classifiers. - Md. Abul Bashar, Richi Nayak:
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks. - Suvodeep Majumder, Pranav Mody, Tim Menzies:
Revisiting Process versus Product Metrics: a Large Scale Analysis. - Punit Rathore, James C. Bezdek, Paolo Santi, Carlo Ratti:
ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge. - Vipul Mann, Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian:
Robust and Efficient Swarm Communication Topologies for Hostile Environments. - Jonathan Zong, Dhiraj Barnwal, Rupayan Neogy, Arvind Satyanarayan:
Lyra 2: Designing Interactive Visualizations by Demonstration. - Amir Shahmoradi, Fatemeh Bagheri:
ParaDRAM: A Cross-Language Toolbox for Parallel High-Performance Delayed-Rejection Adaptive Metropolis Markov Chain Monte Carlo Simulations. - Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia:
Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems. - Ian T. Foster, Carl Kesselman:
Translating the Grid: How a Translational Approach Shaped the Development of Grid Computing. - Caitlyn E. Seim, Chuzhang Han, Alexis J. Lowber, Claire Brooks, Marie Payne, Maarten G. Lansberg, Kara E. Flavin, Julius P. A. Dewald, Allison M. Okamura:
Isometric force pillow: using air pressure to quantify involuntary finger flexion in the presence of hypertonia. - Sam Kayyali:
Resource Management and Quality of Service Provisioning in 5G Cellular Networks. - Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee:
Delving Deeper into Anti-aliasing in ConvNets. - Raphael Tang, Jaejun Lee, Afsaneh Razi, Julia Cambre, Ian Bicking, Jofish Kaye, Jimmy Lin:
Howl: A Deployed, Open-Source Wake Word Detection System. - Magnus Lie Hetland:
Optimal Metric Search Is Equivalent to the Minimum Dominating Set Problem. - Anisa Halimi, Erman Ayday:
Profile Matching Across Online Social Networks. - Wlodzimierz Drabent:
Implementing backjumping by throw/1 and catch/3 of Prolog. - Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh Kumar Ramakrishnan, Kristen Grauman:
Audio-Visual Waypoints for Navigation. - Mohammad Rasool Izadi, Yihao Fang, Robert Stevenson, Lizhen Lin:
Optimization of Graph Neural Networks with Natural Gradient Descent. - Jun Yuan, Changjian Chen, Weikai Yang, Mengchen Liu, Jiazhi Xia, Shixia Liu:
A Survey of Visual Analytics Techniques for Machine Learning. - Morteza Ghahremani, Bernard Tiddeman, Yonghuai Liu, Ardhendu Behera:
Orderly Disorder in Point Cloud Domain. - Nicolás Astorga, Pablo Huijse, Pavlos Protopapas, Pablo A. Estévez:
MPCC: Matching Priors and Conditionals for Clustering. - Rachel Luo, Shengjia Zhao, Jiaming Song, Jonathan Kuck, Stefano Ermon, Silvio Savarese:
Privacy Preserving Recalibration under Domain Shift. - Pranoy Panda, Martin Barczyk:
Blending of Learning-based Tracking and Object Detection for Monocular Camera-based Target Following. - Sheng Liu, Zuo-Jun Max Shen, Xiang Ji:
Urban Bike Lane Planning with Bike Trajectories: Models, Algorithms, and a Real-World Case Study. - Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman:
Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models. - Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman:
Semantic Segmentation and Data Fusion of Microsoft Bing 3D Cities and Small UAV-based Photogrammetric Data. - Magnus Lie Hetland:
Metrics and Ambits and Sprawls, Oh My. - Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky:
DeepLandscape: Adversarial Modeling of Landscape Video. - Sara Kingsley, Clara Wang, Alex Mikhalenko, Proteeti Sinha, Chinmay Kulkarni:
Auditing Digital Platforms for Discrimination in Economic Opportunity Advertising. - Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu:
GraphReach: Locality-Aware Graph Neural Networks using Reachability Estimations. - Akash Kumar, Mithilesh Kumar:
Deletion to Induced Matching. - Jonathan W. Siegel, Jianhong Chen, Jinchao Xu:
Training Sparse Neural Networks using Compressed Sensing. - Alhabib Abbas, Yiannis Andreopoulos:
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations. - Erik Burman, Cuiyu He, Mats G. Larson:
Comparison of Shape Derivatives using CutFEM for Ill-posed Bernoulli Free Boundary Problem. - Anna Solovyova, Sergiy Danylov, Shpenkov Oleksii, Aleksandr Kravchenko:
Early Autism Spectrum Disorders Diagnosis Using Eye-Tracking Technology. - Jorge Beltrán, Carlos Guindel, Irene Cortés, Alejandro Barrera, Armando Astudillo, Jesús Urdiales, Mario Álvarez, Farid Bekka, Vicente Milanés, Fernando García:
Towards Autonomous Driving: a Multi-Modal 360° Perception Proposal. - Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth:
Eco-Routing Navigation System for Electric Vehicles. - Alexandra Savelieva, Bryan Au-Yeung, Vasanth Ramani:
Abstractive Summarization of Spoken and Written Instructions with BERT. - Angel Santamaria-Navarro, Rohan Thakker, David D. Fan, Benjamin Morrell, Ali-akbar Agha-mohammadi:
Towards Resilient Autonomous Navigation of Drones. - Ryan Bernstein, Matthijs Vákár, Jeannette M. Wing:
Transforming Probabilistic Programs for Model Checking. - Jingji Chen, Xuehai Qian:
DwarvesGraph: A High-Performance Graph Mining System with Pattern Decomposition. - Rafael C. Pinto:
Model-Free Episodic Control with State Aggregation. - Xiomara Camacho Medina, Tatiana Manrique:
Experimental Black-box System identification and control of a Torus Cassegrain Telescope. - Wensi Wu, Christophe Bonneville, Christopher J. Earls:
A Principled Approach to Design Using High Fidelity Fluid-Structure Interaction Simulations. - Xi Wang, Zoya Bylinskii, Aaron Hertzmann, Robert Pepperell:
Toward Quantifying Ambiguities in Artistic Images. - Yunjiang Jiang, Yue Shang, Hongwei Shen, Wen-Yun Yang, Yun Xiao:
Fine-tune BERT for E-commerce Non-Default Search Ranking. - Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot:
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection. - Long Chen, Zheheng Jiang, Lei Tong, Zhihua Liu, Aite Zhao, Qianni Zhang, Junyu Dong, Huiyu Zhou:
Detection perceptual underwater image enhancement with deep learning and physical priors. - Rafael G. L. D'Oliveira, Salman Salamatian, Muriel Médard, Parastoo Sadeghi:
Low Influence, Utility, and Independence in Differential Privacy: A Curious Case of (3 2). - Michael Kranzlein, Shabnam Behzad, Nazli Goharian:
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles. - Yangjun Zhang, Pengjie Ren, Maarten de Rijke:
Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology. - Sumukh Shivakumar, Hazem Torfah, Ankush Desai, Sanjit A. Seshia:
SOTER on ROS: A Run-Time Assurance Framework on the Robot Operating System. - Johannes Obermaier, Marc Schink, Kosma Moczek:
One Exploit to Rule them All? On the Security of Drop-in Replacement and Counterfeit Microcontrollers. - Bowen Chen, Huan Ling, Xiaohui Zeng, Gao Jun, Ziyue Xu, Sanja Fidler:
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation. - Xingjian Ding, Jianxiong Guo, Deying Li, Weili Wu:
Pricing and Budget Allocation for IoT Blockchain with Edge Computing. - Serge Prudhomme, Patrick Diehl:
On the treatment of boundary conditions for bond-based peridynamic models. - Thien Q. Tran, Jun Sakuma:
Seasonal-adjustment Based Feature Selection Method for Large-scale Search Engine Logs. - Sumit K. Mandal, Ümit Y. Ogras, Janardhan Rao Doppa, Raid Zuhair Ayoub, Michael Kishinevsky, Partha Pratim Pande:
Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs. - Brenner S. Rego, Davide Martino Raimondo, Guilherme V. Raffo:
Set-based state estimation and fault diagnosis of linear discrete-time descriptor systems using constrained zonotopes. - Junyu Cao, Wei Sun, Zuo-Jun Shen, Markus Ettl:
Fatigue-aware Bandits for Dependent Click Models. - Yanhong A. Liu, Scott D. Stoller:
Assurance of Distributed Algorithms and Systems: Runtime Checking of Safety and Liveness. - Gang Zhao, Teng Zhang, Chenxiao Wang, Ping Lv, Ji Wu:
Applications of BERT Based Sequence Tagging Models on Chinese Medical Text Attributes Extraction. - Feida Zhu, Chaowei Fang, Kai-Kuang Ma:
PNEN: Pyramid Non-Local Enhanced Networks. - Guanghao Yin, Shouqian Sun, Dian Yu, Kejun Zhang:
A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals. - Zeeshan Ahmad, Naimul Mefraz Khan:
Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data. - Zeeshan Ahmad, Naimul Mefraz Khan:
Multidomain Multimodal Fusion For Human Action Recognition Using Inertial Sensors. - Feilong Zhang:
Self-Tuning Control based on Modified Equivalent-Dynamic-Linearization Mode. - Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, Yi Chang:
Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior. - Ling Yuan, Siyuan Zhou, Neal N. Xiong:
MLD: An Intelligent Memory Leak Detection Scheme Based on Defect Modes in Smart Grids. - Hongyuan Dong, Jiaqing Xie, Zhi Jing, Dexin Ren:
Variational Autoencoder for Anti-Cancer Drug Response Prediction. - Guiyun Xiao, Zheng-Jian Bai:
A Modified Orthogonal Matching Pursuit for Construction of Sparse Probabilistic Boolean Networks. - Yuying Liu, J. Nathan Kutz, Steven L. Brunton:
Hierarchical Deep Learning of Multiscale Differential Equation Time-Steppers. - Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. - Yoav Goldstein, Martin Schätz, Mireille Avigal:
Chest Area Segmentation in Depth Images of Sleeping Patients. - Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen:
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data. - Julien Siems, Lucas Zimmer, Arber Zela, Jovita Lukasik, Margret Keuper, Frank Hutter:
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search. - Hung-Min Hsu, Yizhou Wang, Jenq-Neng Hwang:
Traffic-Aware Multi-Camera Tracking of Vehicles Based on ReID and Camera Link Model. - Jae Sung Park, Trevor Darrell, Anna Rohrbach:
Identity-Aware Multi-Sentence Video Description. - David Kraljic, Miha Troha:
Solution space of optimal heat pump schedules. - Bikash Chandra Singh, Md. Zulfikar Alom, Mohammad Muntasir Rahman, Mrinal Kanti Baowaly, Mohammad Abdul Azim:
COVID-19 Pandemic Outbreak in the Subcontinent: A data-driven analysis. - Pratibha Choudhary, Venkatesh Raman:
Structural Parameterizations of Tracking Paths Problem. - Jialun Liu, Jingwei Zhang, Wenhui Li, Chi Zhang, Yifan Sun:
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory. - Andrew Adamatzky, Antoni Gandia, Alessandro Chiolerio:
Fungal sensing skin. - Elizabeth Y. Huang, Dario Paccagnan, Wenjun Mei, Francesco Bullo:
Assign and Appraise: Achieving Optimal Performance in Collaborative Teams. - Meghana Bhange, Nirant Kasliwal:
HinglishNLP: Fine-tuned Language Models for Hinglish Sentiment Detection. - Zijian Xu, Vorapong Suppakitpaisarn:
On the Size of Minimal Separators for Treedepth Decomposition. - Iman Saberi, Fathiyeh Faghih:
Self-Competitive Neural Networks. - Hinako Sassa, Maxime Cordeil, Mitsuo Yoshida, Takayuki Itoh:
Brushing Feature Values in Immersive Graph Visualization Environment. - Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares:
RANSIP : From noisy point clouds to complete ear models, unsupervised. - Jinwoo Kim, Qinheping Hu, Loris D'Antoni, Thomas W. Reps:
Semantics-Guided Synthesis. - Le Yang, Houwen Peng, Dingwen Zhang, Jianlong Fu, Junwei Han:
Revisiting Anchor Mechanisms for Temporal Action Localization. - Christian Killer, Lucas Thorbecke, Bruno Rodrigues, Eder J. Scheid, Muriel Figueredo Franco, Burkhard Stiller:
Proverum: A Hybrid Public Verifiability and Decentralized Identity Management. - Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
On the Intrinsic Differential Privacy of Bagging. - Vladimir Joukov, Dana Kulic:
Fast Approximate Multi-output Gaussian Processes. - Alex Falcon, Oswald Lanz, Giuseppe Serra:
Data augmentation techniques for the Video Question Answering task. - Verena Blaschke, Maxim Korniyenko, Sam Tureski:
CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection. - Aritra Chowdhury, Alberto Santamaría-Pang, James R. Kubricht, Peter H. Tu:
Emergent symbolic language based deep medical image classification. - José Eduardo Carvajal-Rubio, Juan Diego Sánchez-Torres, Michael Defoort, Alexander G. Loukianov, Mohamed Djemai:
A Discrete-Time Matching Filtering Differentiator. - Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Tackling Over-Smoothing for General Graph Convolutional Networks. - Aritra Chowdhury, Alberto Santamaría-Pang, James R. Kubricht, Jianwei Qiu, Peter H. Tu:
Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages. - Elena Mikhalkova, Nadezhda Ganzherli, Anna Glazkova, Yuliya Bidulya:
UTMN at SemEval-2020 Task 11: A Kitchen Solution to Automatic Propaganda Detection. - Qiang Fu, Hongshan Yu, Xiaolong Wang, Zhengeng Yang, Hong Zhang, Ajmal Mian:
FastORB-SLAM: a Fast ORB-SLAM Method with Coarse-to-Fine Descriptor Independent Keypoint Matching. - Xuanji Xiao, Huabin Chen, Yuzhen Liu, Xing Yao, Pei Liu, Chaosheng Fan, Nian Ji, Xirong Jiang:
LT4REC: A Lottery Ticket Hypothesis Based Multi-task Practice for Video Recommendation System. - Bochan Lee, Moble Benedict:
Development and Validation of a Comprehensive Helicopter Flight Dynamics Code. - Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee:
Multiple Classification with Split Learning. - Michael Elkin, Yuval Gitlitz, Ofer Neiman:
Improved Weighted Additive Spanners. - Gurpreet Singh, Soumyajit Gupta, Clint N. Dawson:
Prevention is Better than Cure: Handling Basis Collapse and Transparency in Dense Networks. - Vasilis Margonis, Athanasios Davvetas, Iraklis A. Klampanos:
WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels. - Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss. - Ghalib Ahmed Tahir, Chu Kiong Loo, Foong Ming Moy, Nadine Kong:
Evaluation Of Issues, Usability And Functionality Of Dietary Related Mobile Applications: A Systematic Literature Review. - Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland:
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. - Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Rishabh K. Iyer, Ganesh Ramakrishnan:
Data Programming using Semi-Supervision and Subset Selection. - Dima Damen, Michael Wray:
Supervision Levels Scale (SLS). - Hossein Kashiani, Amir Abbas Hamidi Imani, Shahriar Baradaran Shokouhi, Ahmad Ayatollahi:
Online Visual Tracking with One-Shot Context-Aware Domain Adaptation. - Vivek Roy, Yan Xu, Yu-Xiong Wang, Kris Kitani, Ruslan Salakhutdinov, Martial Hebert:
Few-Shot Learning with Intra-Class Knowledge Transfer. - Anastasios Bairaktaris, Symeon Symeonidis, Avi Arampatzis:
DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification. - Leonardo Enzo Brito da Silva, Nagasharath Rayapati, Donald C. Wunsch II:
iCVI-ARTMAP: Accelerating and improving clustering using adaptive resonance theory predictive mapping and incremental cluster validity indices. - Yotam M. Y. Feldman, Mooly Sagiv, Sharon Shoham, James R. Wilcox:
Learning the Boundary of Inductive Invariants. - Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu:
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. - Margaret Trautner, Gabriel B. Margolis, Sai Ravela:
Informative Neural Ensemble Kalman Learning. - Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu:
One Weight Bitwidth to Rule Them All. - Oscar Koller:
Quantitative Survey of the State of the Art in Sign Language Recognition. - Dinh-Liem Nguyen, Trung Truong:
Imaging of bi-anisotropic periodic structures from electromagnetic near field data. - Jeff Kinne, Ashwin Murali, Arash Rafiey:
Digraphs Homomorphism Problems with Maltsev Condition. - Shashi Bhushan Jha, Vijay Pandey, Rajesh Kumar Jha, Radu F. Babiceanu:
Machine Learning Approaches to Real Estate Market Prediction Problem: A Case Study. - Anuraganand Sharma:
Optimistic variants of single-objective bilevel optimization for evolutionary algorithms. - Guanjin Qu, Huaming Wu:
DMRO: A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing. - Hong-Ning Dai, Muhammad Imran, Noman Haider:
Blockchain-enabled Internet of Medical Things to Combat COVID-19. - Cunsheng Ding, Chunming Tang:
The linear codes of t-designs held in the Reed-Muller and Simplex codes. - Zhiqiang Wei, Yuanxin Cai, Zhuo Sun, Derrick Wing Kwan Ng, Jinhong Yuan:
Sum-Rate Maximization for IRS-Assisted UAV OFDMA Communication Systems. - Yalong Yang, Maxime Cordeil, Johanna Beyer, Tim Dwyer, Kim Marriott, Hanspeter Pfister:
Embodied Navigation in Immersive Abstract Data Visualization: Is Overview+Detail or Zooming Better for 3D Scatterplots? - Jianyi Li, Guizhong Liu:
Few-Shot Image Classification via Contrastive Self-Supervised Learning. - Yiwei Chen, Yu Pan, Daoyi Dong:
Quantum Language Model with Entanglement Embedding for Question Answering. - Huimin Lao, Hao Chen, Jian Weng, Xiaoqing Tan:
Parameter-controlled inserting constructions of constant dimension subspace codes. - Junjie Zhang, Cong Zhang, Neal N. Xiong:
DSP: A Differential Spatial Prediction Scheme for Comprehensive real industrial datasets. - Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu:
Ptolemy: Architecture Support for Robust Deep Learning. - Kaiyu Yue, Jiangfan Deng, Feng Zhou:
Matching Guided Distillation. - Christina Chaccour, Walid Saad:
On the Ruin of Age of Information in Augmented Reality over Wireless Terahertz (THz) Networks. - Prateek Verma, Constantin Basica, Pamela Davis Kivelson:
Translating Paintings Into Music Using Neural Networks. - Timothy R. Tangherlini, Shadi Shahsavari, Behnam Shahbazi, Ehsan Ebrahimzadeh, Vwani P. Roychowdhury:
An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web. - Zirui Wang, Victor Adrian Prisacariu:
Neighbourhood-Insensitive Point Cloud Normal Estimation Network. - Alireza Abdoli, Ali Jahanian:
A Cost & Performance-Efficient Field-Programmable Pin-Constrained Digital Microfluidic Biochip. - Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. - Duy N. Nguyen, Linh Nguyen:
Sampling for the V-line Transform with Vertex in a Circle. - Liangwei Li, Liucheng Sun, Chenwei Weng, Chengfu Huo, Weijun Ren:
Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection. - Sahaana Suri, Raghuveer Chanda, Neslihan Bulut, Pradyumna Narayana, Yemao Zeng, Peter Bailis, Sugato Basu, Girija Narlikar, Christopher Ré, Abishek Sethi:
Leveraging Organizational Resources to Adapt Models to New Data Modalities. - Alexander V. Belikov, Andrey Rzhetsky, James A. Evans:
Detecting signal from science: The structure of research communities and prior knowledge improves prediction of genetic regulatory experiments. - Junpeng Tan, Yukai Shi, Zhijing Yang, Caizhen Wen, Liang Lin:
Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View. - Zhida Huang, Kaiyu Yue, Jiangfan Deng, Feng Zhou:
Visible Feature Guidance for Crowd Pedestrian Detection. - Chuan-Xian Ren, You-Wei Luo, Xiao-Lin Xu, Dao-Qing Dai, Hong Yan:
Discriminative Residual Analysis for Image Set Classification with Posture and Age Variations. - Muhammad Shahab Alam, Muhammad Usman Rafique, M. Umer Khan:
Mobile Robot Path Planning in Static Environments using Particle Swarm Optimization. - Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou:
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. - Jingying Liu, Binyuan Hui, Kun Li, Yunke Liu, Yu-Kun Lai, Yuxiang Zhang, Yebin Liu, Jingyu Yang:
Geometry-guided Dense Perspective Network for Speech-Driven Facial Animation. - K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild. - Vikram Krishnamurthy, George Yin:
Multi-kernel Passive Stochastic Gradient Algorithms. - Jinsong Li, Jianhua Peng, Shuxin Liu, Lintianran Weng, Cong Li:
TSAM: Temporal Link Prediction in Directed Networks based on Self-Attention Mechanism. - Oladapo Oyebode, Chinenye Ndulue, Dinesh Mulchandani, Banuchitra Suruliraj, Ashfaq Adib, Fidelia Anulika Orji, Evangelos E. Milios, Stan Matwin, Rita Orji:
COVID-19 Pandemic: Identifying Key Issues using Social Media and Natural Language Processing. - Mingxuan Sun, Xing Li:
Time-Varying and Nonlinearly Scaled Consensus of Multiagent Systems: A Generic Attracting Law Approach. - You-Wei Luo, Chuan-Xian Ren, Dao-Qing Dai, Hong Yan:
Unsupervised Domain Adaptation via Discriminative Manifold Propagation. - Ali Shariq Imran, Sher Mohammad Doudpota, Zenun Kastrati, Rakhi Bhatra:
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning - a Case Study on COVID-19. - Jiaqi Wang, Wenwei Zhang, Yuhang Zang, Yuhang Cao, Jiangmiao Pang, Tao Gong, Kai Chen, Ziwei Liu, Chen Change Loy, Dahua Lin:
Seesaw Loss for Long-Tailed Instance Segmentation. - Hamed Taghavian:
A systematic approach towards robust stability analysis of integral delay systems with general interval kernels. - Suryanarayana Murthy Durbhakula:
ILP Aware Scheduling on Multithreaded Multi-core Processors. - Pengfei Ge, Chuan-Xian Ren, Jiashi Feng, Shuicheng Yan:
Dual Adversarial Auto-Encoders for Clustering. - Toshiyuki T. Yokoyama, Masashi Okada, Tadahiro Taniguchi:
Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs. - Taisuke Kobayashi:
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning. - Zbigniew Wojna, Krzysztof Maziarz, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iasonas Kokkinos:
Holistic Multi-View Building Analysis in the Wild with Projection Pooling. - Hiroshi Hirai, Motoki Ikeda:
Node-Connectivity Terminal Backup, Separately-Capacitated Multiflow, and Discrete Convexity. - Haoyi Zhu, Cheng Jie, Shaofei Jiang:
Multi-Person Full Body Pose Estimation. - Samuel Teuber, Marko Kleine Büning, Carsten Sinz:
An Incremental Abstraction Scheme for Solving Hard SMT-Instances over Bit-Vectors. - Roie Levin, David Wajc:
Streaming Submodular Matching Meets the Primal-Dual Method. - Georg Heiler, Tobias Reisch, Jan Hurt, Mohammad Forghani, Aida Omani, Allan Hanbury, Farid Karimipour:
Country-wide mobility changes observed using mobile phone data during COVID-19 pandemic. - Harshit Sikchi, Wenxuan Zhou, David Held:
Learning Off-Policy with Online Planning. - Pradip Pramanick, Chayan Sarkar, Balamuralidhar Purushothaman, Ajay Kattepur, Indrajit Bhattacharya, Arpan Pal:
Enabling human-like task identification from natural conversation. - Pradip Pramanick, Chayan Sarkar, Indrajit Bhattacharya:
Your instruction may be crisp, but not clear to me! - Qing Sun, James Cross:
Learn to Talk via Proactive Knowledge Transfer. - Hrishav Bakul Barua, Pradip Pramanick, Chayan Sarkar, Theint Haythi Mg:
Let me join you! Real-time F-formation recognition by a socially aware robot. - Tristan Cazenave:
Mobile Networks for Computer Go. - Pradip Pramanick, Hrishav Bakul Barua, Chayan Sarkar:
DeComplex: Task planning from complex natural instructions by a collocating robot. - Léo Pio-Lopez, Alberto Valdeolivas, Laurent Tichit, Elisabeth Remy, Anaïs Baudot:
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach. - Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson:
Learning Personalized Models of Human Behavior in Chess. - David M. Beskow, Kathleen M. Carley:
Social Cybersecurity Chapter 13: Casestudy with COVID-19 Pandemic. - Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang:
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning. - Benedikt T. Boenninghoff, Julian Rupp, Robert M. Nickel, Dorothea Kolossa:
Deep Bayes Factor Scoring for Authorship Verification. - Ian McDiarmid-Sterling, Allan Moser:
Developing and Defeating Adversarial Examples. - Qahhar Muhammad Qadir, Alexander A. Kist, Zhongwei Zhang:
Optimization of Quality of Experience for Video Traffic. - Rohit Mohan, Abhinav Valada:
Robust Vision Challenge 2020 - 1st Place Report for Panoptic Segmentation. - Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). - Robin M. Schmidt, Moritz Hahn:
Collaborative Filtering under Model Uncertainty. - Ling Guo, Akil Narayan, Yongle Liu, Tao Zhou:
Sparse approximation of data-driven Polynomial Chaos expansions: an induced sampling approach. - Varun Badrinath Krishna:
Ballroom Dance Movement Recognition Using a Smart Watch. - Yipu Zhao, Justin S. Smith, Patricio A. Vela:
Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment in Visual SLAM. - Abdalraheem Alsmadiv, Shadi AlZu'bi, Mahmoud Al-Ayyoub, Yaser Jararweh:
Predicting Helpfulness of Online Reviews. - Salman Maqbool, Aqsa Riaz, Hasan Sajid, Osman Hasan:
m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks. - Md. Shirajum Munir, Sarder Fakhrul Abedin, Ki Tae Kim, DoHyeon Kim, Md. Golam Rabiul Alam, Choong Seon Hong:
Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System. - Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone:
Efficient Online Learning for Cognitive Radar-Cellular Coexistence via Contextual Thompson Sampling. - Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu:
Contrastive learning, multi-view redundancy, and linear models. - Xiaodan Shao, Xiaoming Chen, Derrick Wing Kwan Ng, Caijun Zhong, Zhaoyang Zhang:
Covariance-Based Cooperative Activity Detection for Massive Grant-Free Random Access. - Miao Rong, Dongxiao Zhang, Nanzhe Wang:
A Lagrangian Dual-based Theory-guided Deep Neural Network. - Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell:
Hierarchical Style-based Networks for Motion Synthesis. - Jinfen Li, Lu Xiao:
syrapropa at SemEval-2020 Task 11: BERT-based Models Design For Propagandistic Technique and Span Detection. - Feilong Zhang:
Model-Free Adaptive Control based on Modified Full-Form-Dynamic-Linearization. - Chuan-Xian Ren, Pengfei Ge, Dao-Qing Dai, Hong Yan:
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification. - Jiaxu Dao, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles. - Zaid Qureshi, Vikram Sharma Mailthody, Seungwon Min, I-Hsin Chung, Jinjun Xiong, Wen-Mei W. Hwu:
Tearing Down the Memory Wall. - Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor S. Lempitsky:
Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars. - Thomas Lew, Marco Pavone:
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling. - Skyler Seto, Martin T. Wells, Wenyu Zhang:
Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training. - Nabiha Nasir Orpa, Lichun Li:
LP Formulations of Two-Player Zero-Sum Stochastic Bayesian games. - José Ignacio Orlicki:
Sequential Proof-of-Work for Fair Staking and Distributed Randomness Beacons. - Xinyan Zhang, Yunfeng Wang, Pengfei Xiong:
Affinity-aware Compression and Expansion Network for Human Parsing. - Alon Efrat, Radoslav Fulek, Stephen G. Kobourov, Csaba D. Tóth:
Polygons with Prescribed Angles in 2D and 3D. - Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi:
Initial-Value Privacy of Linear Dynamical Systems. - Ruobin Gong, Xiao-Li Meng:
Congenial Differential Privacy under Mandated Disclosure. - Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu:
Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency. - Jaeyoung Hwang, Lionel Nkenyereye, NakMyoung Sung, Jaeho Kim, JaeSeung Song:
IoT service slicing and task offloading for edge computing. - Alexander A. Sherstov, Andrey A. Storozhenko, Pei Wu:
An Optimal Separation of Randomized and Quantum Query Complexity. - Cristian Camilo Beltran-Hernandez, Damien Petit, Ixchel Georgina Ramirez-Alpizar, Kensuke Harada:
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach. - Tian Xie, Linglong Dai, Derrick Wing Kwan Ng, Chan-Byoung Chae:
On the Power Leakage Problem in Millimeter-Wave Massive MIMO with Lens Antenna Arrays. - Sunny Goondram, Akansel Cosgun, Dana Kulic:
Strawberry Detection using Mixed Training on Simulated and Real Data. - Minuk Ma, Sunjae Yoon, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo:
VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval. - Wanjing Ma, Ruochen Hao, Chunhui Yu, Tuo Sun, Bart van Arem:
Managing connected and automated vehicles with flexible routing at "lane-allocation-free" intersections. - Ali Vardasbi, Harrie Oosterhuis, Maarten de Rijke:
When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. - Marc Aubreville, Christof A. Bertram, Taryn A. Donovan, Christian Marzahl, Andreas Maier, Robert Klopfleisch:
Dogs as Model for Human Breast Cancer: A Completely Annotated Whole Slide Image Dataset. - Mallikarjun B. R., Ayush Tewari, Tae-Hyun Oh, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Mohamed Elgharib, Christian Theobalt:
Monocular Reconstruction of Neural Face Reflectance Fields. - Yikun Bai, Xiugang Wu, Ayfer Özgür:
Information Constrained Optimal Transport: From Talagrand, to Marton, to Cover. - Michal Romaszewski, Przemyslaw Glomb, Arkadiusz Sochan, Michal Cholewa:
A Dataset for Evaluating Blood Detection in Hyperspectral Images. - Milad Malekzadeh, Ioannis Papamichail, Markos Papageorgiou, Klaus Bogenberger:
Real-time internal boundary control of lane-free automated vehicle traffic. - Aniket Joshi, Gaurav Mishra, Jayanthi Sivaswamy:
Explainable Disease Classification via weakly-supervised segmentation. - Bharath Comandur, Avinash C. Kak:
Semantic Labeling of Large-Area Geographic Regions Using Multi-View and Multi-Date Satellite Images, and Noisy OSM Training Labels. - Evangelia Daskalaki, Katerina Psaroudaki, Marieva Karkanaki, Paraskevi Fragopoulou:
Understanding the online behavior and risks of children: results of a large-scale national survey on 10-18 year olds. - Roman Weinhandl, Peter Benner, Thomas Richter:
A Low-rank Method for Parameter-dependent Fluid-structure Interaction Discretizations With Hyperelasticity. - Abhay Shukla, Jairaj Sathyanarayana, Dipyaman Banerjee:
Sample-Rank: Weak Multi-Objective Recommendations Using Rejection Sampling. - Patrizio Angelini, Ignaz Rutter, Sandhya T. P.:
Extending Partial Orthogonal Drawings. - Praphula Kumar Jain, Rajendra Pamula:
A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews. - Hao Fei, Meishan Zhang, Fei Li, Donghong Ji:
Cross-lingual Semantic Role Labeling with Model Transfer. - David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool:
Automated Search for Resource-Efficient Branched Multi-Task Networks. - Armin Runge, Thomas Wenzel, Dimitrios Bariamis, Benedikt Sebastian Staffler, Lucas Rêgo Drumond, Michael Pfeiffer:
Bosch Deep Learning Hardware Benchmark. - Robin Kips, Pietro Gori, Matthieu Perrot, Isabelle Bloch:
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer. - Guohao Li, Mengmeng Xu, Silvio Giancola, Ali K. Thabet, Bernard Ghanem:
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks. - Igor Beati, Eliana Andreica, Peter Majer:
ImarisWriter: Open Source Software for Storage of Large Images in Blockwise Multi-Resolution Format. - Evgenii Zheltonozhskii, Chaim Baskin, Alex M. Bronstein, Avi Mendelson:
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering. - Yixiao Ge, Shijie Yu, Dapeng Chen:
Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID. - Thomas Bläsius, Maximilian Böther, Philipp Fischbeck, Tobias Friedrich, Alina Gries, Falk Hüffner, Otto Kißig, Pascal Lenzner, Louise Molitor, Leon Schiller, Armin Wells, Simon Wietheger:
A Strategic Routing Framework and Algorithms for Computing Alternative Paths. - Hongying Liu, Zhubo Ruan, Chaowei Fang, Peng Zhao, Fanhua Shang, Yuanyuan Liu, Lijun Wang:
A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution. - Yizhar Or, Péter L. Várkonyi:
Experimental Verification of Stability Theory for a Planar Rigid Body with Two Unilateral Frictional Contacts. - Pavan A, Adithya Bennur, Mohit Gaggar, Shylaja S. S:
LCA-Net: Light Convolutional Autoencoder for Image Dehazing. - Nikolaj Ignatieff Schwartzbach:
An Incentive-Compatible Smart Contract for Decentralized Commerce. - Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He, Jun Huang:
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources. - Jianwei Zhang, Zhenxing Wang, Yuhui Zheng, Guoqing Zhang:
Cascade Convolutional Neural Network for Image Super-Resolution. - Huu Phuoc Le, Mohab Safey El Din, Timo de Wolff:
Computing the Real Isolated Points of an Algebraic Hypersurface. - Jawaherul Md. Alam, Michael A. Bekos, Martin Gronemann, Michael Kaufmann, Sergey Pupyrev:
Lazy Queue Layouts of Posets. - Yousef Abuseta:
A Context Aware Framework for IoT Based Healthcare Monitoring Systems. - Varun Pandey, Alexander van Renen, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Alfons Kemper:
The Case for Learned Spatial Indexes. - Lucas Hu, Caleb Robinson, Bistra Dilkina:
Model Generalization in Deep Learning Applications for Land Cover Mapping. - Shengjun Liu, Ningkang Jiang, Yuanbin Wu:
Visual Attack and Defense on Text. - Safeen Qadir, Alexander A. Kist, Zhongwei Zhang:
QoE-aware cross-layer architecture for video traffic over Internet. - Sarveswararao Vangala, Vadlamani Ravi:
ATM Cash demand forecasting in an Indian Bank with chaos and deep learning. - Benjamin Niedermann, Ignaz Rutter:
An Integer-Linear Program for Bend-Minimization in Ortho-Radial Drawings. - Katharina Börsig, Ulrik Brandes, Barna Pásztor:
Stochastic Gradient Descent Works Really Well for Stress Minimization. - Gang Mei, Jingzhi Tu, Lei Xiao, Francesco Piccialli:
KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs. - Kazi Zainab Khanam, Gautam Srivastava, Vijay Mago:
The Homophily Principle in Social Network Analysis. - Chathurika P. Mediwaththe, Marnie E. Shaw, Saman K. Halgamuge, David B. Smith, Paul Scott:
An Incentive-compatible Energy Trading Framework for Neighborhood Area Networks with Shared Energy Storage. - Chathurika P. Mediwaththe, Lachlan Blackhall:
Network-Aware Demand-side Management Framework with A Community Energy Storage System Considering Voltage Constraints. - Evgenii Safronov, Michele Colledanchise, Lorenzo Natale:
Compact Belief State Representation for Task Planning. - Ondrej Mekota, Memduh Gökirmak, Petr Laitoch:
End to End Dialogue Transformer. - Soheil Habibian, Mehdi Dadvar, Behzad Peykari, Alireza Hosseini, M. Hossein Salehzadeh, Alireza H. M. Hosseini, Farshid Najafi:
Design and Implementation of a Maxi-Sized Mobile Robot (Karo) for Rescue Missions. - Sanghyeon An, Min Jun Lee, Sanglee Park, Heerin Yang, Jungmin So:
An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition. - Mark Dukes, Anthony A. Casey:
Combinatorial diversity metrics for the analysis of policy processes. - Ido Zoref, Ariel Orda:
An Efficient Algorithm for Finding Sets of Optimal Routes. - Augustin Arnault, Nicolas Riche:
CRNNs for Urban Sound Tagging with spatiotemporal context. - Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris:
INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs. - Amine Dadoun, Ismail Harrando, Pasquale Lisena, Alison Reboud, Raphaël Troncy:
Two Stages Approach for Tweet Engagement Prediction. - Hongchang Gao, Heng Huang:
Adaptive Serverless Learning. - Ajay M. Patrikar:
Efficient Design of Neural Networks with Random Weights. - Nathalie Bertrand, Patricia Bouyer, Thomas Brihaye, Paulin Fournier:
Taming denumerable Markov decision processes with decisiveness. - Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar:
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics. - Hezhen Hu, Wengang Zhou, Junfu Pu, Houqiang Li:
Global-local Enhancement Network for NMFs-aware Sign Language Recognition. - Francesco Varoli, Guido Novati, Pantelis-Rafail Vlachas, Petros Koumoutsakos:
Improved Memories Learning. - Hongchang Gao, Heng Huang:
Periodic Stochastic Gradient Descent with Momentum for Decentralized Training. - Ming Zhu, Chao Ma, Pan Ji, Xiaokang Yang:
Cross-Modality 3D Object Detection. - Amir Rikhtehgar Ghiasi, Amir Aminzadeh Ghavifekr, Y. Shabbouei Hagh, H. SeyedGholami:
Designing adaptive robust extended Kalman filter based on Lyapunov-based controller for robotics manipulators. - Amir Aminzadeh Ghavifekr, Seyedshahab Chehraghi, Giacomo De Rossi:
An Analysis of Sampling Effect on the Absolute Stability of Discrete-time Bilateral Teleoperation Systems. - Hui Wen, Yue Wu, Chenming Yang, Jingjing Li, Yue Zhu, Xu Jiang, Hancong Duan:
Transferring Inter-Class Correlation. - Xiaomei Bai, Fuli Zhang, Jie Hou, Feng Xia, Amr Tolba, Elsayed Elashkar:
Implicit Multi-feature Learning for Dynamic Time Series Prediction of the Impact of Institutions. - Hannan Bin Liaqat, Feng Xia, Jianhua Ma, Laurence Tianruo Yang, Ahmedin Mohammed Ahmed, Nana Yaw Asabere:
Social-Similarity-aware TCP with Collision Avoidance in Ad-hoc Social Networks. - Feng Xia, Qiuyuan Yang, Jie Li, Jiannong Cao, Li Liu, Ahmedin Mohammed Ahmed:
Data Dissemination Using Interest Tree in Socially Aware Networking. - Hanuman Verma, Akshansh Gupta, Utkarsh Niranjan:
Analysis of COVID-19 cases in India through Machine Learning: A Study of Intervention. - Sebastiano Verde, Paolo Bestagini, Simone Milani, Giancarlo Calvagno, Stefano Tubaro:
FOCAL: A Forgery Localization Framework based on Video Coding Self-Consistency. - Marthe Bonamy, Bojan Mohar, Alexandra Wesolek:
Limiting crossing numbers for geodesic drawings on the sphere. - Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, Xiaowei Xu:
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation. - Anirudh Allam, Simona Onori:
On-line Capacity Estimation for Lithium-ion Battery Cells via an Electrochemical Model-based Adaptive Interconnected Observer. - Guiqiu Liao, Jiankang Zhao, Chao Cui, Haihui Long, Jianbin Zhu, Achraf Djerida:
Dynamic Attitude Estimation Improvement for Low-cost MEMS IMU by Integrating Low-cost GPS. - Safeen Qadir, Alexander A. Kist:
Video-aware measurement-based admission control. - Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger:
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks. - Patrizio Angelini, Michael A. Bekos, Philipp Kindermann, Tamara Mchedlidze:
On Mixed Linear Layouts of Series-Parallel Graphs. - Imdad Ullah, Salil S. Kanhere, Roksana Boreli:
Privacy-preserving targeted mobile advertising: A Blockchain-based framework for mobile ads. - Ke Mei, Lei li, Jinchang Xu, Yanhua Cheng, Yugeng Lin:
3rd Place Solution to "Google Landmark Retrieval 2020". - Leonhard Helminger, Abdelaziz Djelouah, Markus Gross, Christopher Schroers:
Lossy Image Compression with Normalizing Flows. - Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li:
EfficientFCN: Holistically-guided Decoding for Semantic Segmentation. - Brent Biseda, Gaurav Desai, Haifeng Lin, Anish Philip:
Prediction of ICD Codes with Clinical BERT Embeddings and Text Augmentation with Label Balancing using MIMIC-III. - Pouyan Fotouhi Tehrani, Eric Osterweil, Jochen H. Schiller, Thomas C. Schmidt, Matthias Wählisch:
Who ya gonna call? (Alerting Authorities): Measuring Namespaces, Web Certificates, and DNSSEC. - Anna Sigridur Islind, María Óskarsdóttir, Harpa Steingrímsdóttir:
Changes in mobility patterns in Europe during the COVID-19 pandemic: Novel insights using open source data. - Krikor Maroukian, Stephen R. Gulliver:
Leading DevOps Practice and Principle Adoption. - Ajinkya Jain, Rudolf Lioutikov, Scott Niekum:
ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory. - Peter Klimczak, Günther Wirsching, Peter beim Graben:
Machine Semiotics. - Toby Phillips, Claire E. Heaney, Paul N. Smith, Christopher C. Pain:
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion. - Ye Cheng, Matilde D'Arpino, Giorgio Rizzoni:
Structural Analysis for Fault Diagnosis and Sensor Placement in Battery Packs. - Kenneth Lai, Svetlana N. Yanushkevich:
Decision Support for Video-based Detection of Flu Symptoms. - Kiichi Tokuyama, Tatsuaki Kimura, Naoto Miyoshi:
Time-based Handover Skipping in Cellular Networks: Spatially Stochastic Modeling and Analysis. - Florian Wilkens, Samuel Botzler, Julia Curts, Skadi Dinter, Malte Hamann, Vincent Hubbe, Aleksandra Kornivetc, Nurefsan Sertbas Bülbül, Mathias Fischer:
Towards Flexible Security Testing of OT Devices. - Martin Gerdzhev, Ryan Razani, Ehsan Taghavi, Bingbing Liu:
TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module. - Yalong Bai, Yuxiang Chen, Wei Yu, Linfang Wang, Wei Zhang:
Products-10K: A Large-scale Product Recognition Dataset. - Lingkai Kong, Jimeng Sun, Chao Zhang:
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. - Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman:
Certainty Pooling for Multiple Instance Learning. - Alireza Heidari, Shrinu Kushagra, Ihab F. Ilyas:
On sampling from data with duplicate records. - Sven-Erik Ekström, Carlo Garoni, Adam Jozefiak, Jesse Perla:
Eigenvalues and Eigenvectors of Tau Matrices with Applications to Markov Processes and Economics. - Luis Roldão, Raoul de Charette, Anne Verroust-Blondet:
LMSCNet: Lightweight Multiscale 3D Semantic Completion. - Kexin Rong, Yao Lu, Peter Bailis, Srikanth Kandula, Philip Alexander Levis:
Approximate Partition Selection for Big-Data Workloads using Summary Statistics. - Morteza Ziyadi, Yuting Sun, Abhishek Goswami, Jade Huang, Weizhu Chen:
Example-Based Named Entity Recognition. - Lance Eliot:
Multidimensionality of Legal Singularity: Parametric Analysis and the Autonomous Levels of AI Legal Reasoning. - Kyriakos Axiotis, Arturs Backurs, Karl Bringmann, Ce Jin, Vasileios Nakos, Christos Tzamos, Hongxun Wu:
Fast and Simple Modular Subset Sum. - Paul Hand, Oscar Leong, Vladislav Voroninski:
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors. - Brian McClannahan, Krushi Patel, Usman Sajid, Cuncong Zhong, Guanghui Wang:
Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks. - Aman Sinha, Matthew O'Kelly, John C. Duchi, Russ Tedrake:
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems. - Hung Le, Shay Solomon:
A Unified and Fine-Grained Approach for Light Spanners. - Julian Walter, Johannes Zink, Joachim Baumeister, Alexander Wolff:
Layered Drawing of Undirected Graphs with Generalized Port Constraints. - Siddhesh Khandelwal, William Qi, Jagjeet Singh, Andrew Hartnett, Deva Ramanan:
What-If Motion Prediction for Autonomous Driving. - Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola:
What makes fake images detectable? Understanding properties that generalize. - Kousha Etessami, Emanuel Martinov:
Qualitative Multi-Objective Reachability for Ordered Branching MDPs. - Benjamin Wilson, Zsolt Kira, James Hays:
3D for Free: Crossmodal Transfer Learning using HD Maps. - Michael Schlottke-Lakemper, Andrew R. Winters, Hendrik Ranocha, Gregor J. Gassner:
A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics. - Twinkle Jain, Gene Cooperman:
CRAC: Checkpoint-Restart Architecture for CUDA with Streams and UVM. - Hsin-Ping Huang, Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang:
Semantic View Synthesis. - William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba:
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. - Guilherme Froes Silva, Alejandro Donaire, Aaron McFadyen, Jason J. Ford:
String Stable Integral Control of Vehicle Platoons with Actuator Dynamics and Disturbances. - Kris Nikov, José L. Núñez-Yáñez, Matthew Horsnell:
Evaluation of hybrid run-time power models for the ARM big.LITTLE architecture. - Matthias Müller, Vladlen Koltun:
OpenBot: Turning Smartphones into Robots. - Thomas L. Carroll:
Adding Filters to Improve Reservoir Computer Performance. - Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow:
DiverseNet: When One Right Answer is not Enough. - Lakshmi Nair, Nithin Shrivatsav Srikanth, Sonia Chernova:
Tool Macgyvering: A Novel Framework for Combining Tool Substitution and Construction. - Julian L. Pistorius, Chris Martin, Sanjana Sudarshan:
Exosphere - Bringing The Cloud Closer. - Chujie Zheng, Harry Jiannan Wang, Kunpeng Zhang, Ling Fan:
A Baseline Analysis for Podcast Abstractive Summarization. - Samiya Khan, Mohammad Moazum Wani, Mansaf Alam:
IoT Applications in Urban Sustainability. - Konstantinos Koufos, Harpreet S. Dhillon, Mehrdad Dianati, Carl P. Dettmann:
On the k Nearest-Neighbor Path Distance from the Typical Intersection in the Manhattan Poisson Line Cox Process. - Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller:
Probabilistic Deep Learning for Instance Segmentation. - Zhihao Shi, Xiaohong Liu, Kangdi Shi, Linhui Dai, Jun Chen:
Video Interpolation via Generalized Deformable Convolution. - Timothy J. Forman, Adam J. Aviv:
Double Patterns: A Usable Solution to Increase the Security of Android Unlock Patterns. - Tonmoy Dhar, Kishor Kunal, Yaguang Li, Meghna Madhusudan, Jitesh Poojary, Arvind K. Sharma, Wenbin Xu, Steven M. Burns, Ramesh Harjani, Jiang Hu, Desmond A. Kirkpatrick, Parijat Mukherjee, Sachin S. Sapatnekar, Soner Yaldiz:
ALIGN: A System for Automating Analog Layout. - Lakshmi Nair, Sonia Chernova:
Feature Guided Search for Creative Problem Solving Through Tool Construction. - Hassan Khan, Jason Ceci, Jonah Stegman, Adam J. Aviv, Rozita Dara, Ravi Kuber:
Widely Reused and Shared, Infrequently Updated, and Sometimes Inherited: A Holistic View of PIN Authentication in Digital Lives and Beyond. - Julian Panetta:
Analytic Eigensystems for Isotropic Membrane Energies. - Shammya Shananda Saha, Christopher Gorog, Adam Moser, Anna Scaglione, Nathan G. Johnson:
Integrating Hardware Security into a Blockchain-Based Transactive Energy Platform. - Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn:
Patching as Translation: the Data and the Metaphor. - Soham Chakraborty, Sourav Patel, Murti V. Salapaka:
Design of H-infinity-based Robust Controller for Single-phase Grid-feeding Voltage Source Inverters. - Aaron Berger, William Kuszmaul, Adam Polak, Jonathan Tidor, Nicole Wein:
Algorithms and Lower Bounds for the Worker-Task Assignment Problem. - Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta:
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. - Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. - Tianchang Shen, Jun Gao, Amlan Kar, Sanja Fidler:
Interactive Annotation of 3D Object Geometry using 2D Scribbles. - Arpit Narechania, Arjun Srinivasan, John T. Stasko:
NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries. - Kyle Ross, Paul Hungler, Ali Etemad:
Unsupervised Multi-Modal Representation Learning for Affective Computing with Multi-Corpus Wearable Data. - Henrique K. Miyamoto, Sueli I. R. Costa, Henrique N. Sá Earp:
Constructive Spherical Codes by Hopf Foliations. - Chandra Thapa, Seyit Camtepe:
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy. - Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul, Amin Ahsan Ali, Md. Ashraful Amin, A K M Mahbubur Rahman:
LULC Segmentation of RGB Satellite Image Using FCN-8. - Steven L. Brunton, J. Nathan Kutz, Krithika Manohar, Aleksandr Y. Aravkin, Kristi Morgansen, Jennifer Klemisch, Nicholas Goebel, James Buttrick, Jeffrey Poskin, Agnes Blom-Schieber, Thomas A. Hogan, Darren McDonald:
Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning. - Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko:
An empirical investigation of different classifiers, encoding and ensemble schemes for next event prediction using business process event logs. - Federico Albanese, Leandro Lombardi, Esteban Feuerstein, Pablo Balenzuela:
Predicting Shifting Individuals Using Text Mining and Graph Machine Learning on Twitter. - Amirhossein Farzam, Areejit Samal, Jürgen Jost:
Degree difference: A simple measure to characterize structural heterogeneity in complex networks. - Yashesh D. Dhebar, Sparsh Gupta, Kalyanmoy Deb:
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods. - Samer Israwi, Henrik Kalisch, Theodoros Katsaounis, Dimitrios Mitsotakis:
A regularized shallow-water waves system with slip-wall boundary conditions in a basin: Theory and numerical analysis. - David Joseph Munzer, Siawpeng Er, Minshuo Chen, Yan Li, Naga Sasikanth Mannem, Tuo Zhao, Hua Wang:
Residual Network Based Direct Synthesis of EM Structures: A Study on One-to-One Transformers. - Connor Brooks, Daniel Szafir:
Visualization of Intended Assistance for Acceptance of Shared Control. - Jing Yi Xie, Graeme Hirst, Yang Xu:
Contextualized moral inference. - Yukai Gong, Jessy W. Grizzle:
Angular Momentum about the Contact Point for Control of Bipedal Locomotion: Validation in a LIP-based Controller. - Dong Lao, Peihao Zhu, Peter Wonka, Ganesh Sundaramoorthi:
Channel-Directed Gradients for Optimization of Convolutional Neural Networks. - Chiwoo Park, David J. Borth, Nicholas S. Wilson, Chad N. Hunter:
Variable selection for Gaussian process regression through a sparse projection. - (Withdrawn) Privacy-Preserving Data Publishing via Mutual Cover.
- Ben Kaiser, Jerry Wei, Elena Lucherini, Kevin Lee, J. Nathan Matias, Jonathan R. Mayer:
Adapting Security Warnings to Counter Online Disinformation. - Saeed Anwar, Muhammad Tahir, Chongyi Li, Ajmal Mian, Fahad Shahbaz Khan, Abdul Wahab Muzaffar:
Image Colorization: A Survey and Dataset. - Emre Ates, Burak Aksar, Vitus J. Leung, Ayse K. Coskun:
Counterfactual Explanations for Machine Learning on Multivariate Time Series Data. - A. H. M. Jakaria, Mohammad Ashiqur Rahman, Matthew Anderson, Steven Drager:
Automated Trajectory Synthesis for UAV Swarms Based on Resilient Data Collection Objectives. - Chuan-Xian Ren, Pengfei Ge, Peiyi Yang, Shuicheng Yan:
Learning Target Domain Specific Classifier for Partial Domain Adaptation. - Chiwoo Park, Sang Do Noh, Anuj Srivastava:
Data Science for Motion and Time Analysis with Modern Motion Sensor Data. - A. H. M. Jakaria, Md Mosharaf Hossain, Mohammad Ashiqur Rahman:
Smart Weather Forecasting Using Machine Learning: A Case Study in Tennessee. - Michael Hoffmann, Chih-Hung Liu, Meghana M. Reddy, Csaba D. Tóth:
Simple Topological Drawings of k-Planar Graphs. - Susan Wei, Marc Niethammer:
The Fairness-Accuracy Pareto Front. - Jorge González, Alexander Gazman, Maarten Hattink, Mauricio G. Palma, Meisam Bahadori, Ruth Rubio-Noriega, Lois Orosa, Madeleine Glick, Onur Mutlu, Keren Bergman, Rodolfo Azevedo:
Optically Connected Memory for Disaggregated Data Centers. - Lingwei Zhu, Takamitsu Matsubara:
Ensuring Monotonic Policy Improvement in Entropy-regularized Value-based Reinforcement Learning. - Mingkai Huang, Hao Li, Bing Bai, Chang Wang, Kun Bai, Fei Wang:
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations. - Ningyu Zhang, Qianghuai Jia, Kangping Yin, Liang Dong, Feng Gao, Nengwei Hua:
Conceptualized Representation Learning for Chinese Biomedical Text Mining. - Mohammad Abujubbeh, Sai Munikoti, Balasubramaniam Natarajan:
Probabilistic Voltage Sensitivity based Preemptive Voltage Monitoring in Unbalanced Distribution Networks. - Shengzeng Huo, David Navarro-Alarcon, David Chik:
A Robotic Line Scan System with Adaptive ROI for Inspection of Defects over Convex Free-form Specular Surfaces. - Xidong Wang, Zhan Li, Zhen He, Huijun Gao:
Adaptive Fast Smooth Second-Order Sliding Mode Control for Attitude Tracking of a 3-DOF Helicopter. - Jiachen Sun, Hao Liu, Xiao Ma:
Transmitting Extra Bits by Rotating Signal Constellations. - Danny Suarez Vargas, Lucas Rafael Costella Pessutto, Viviane Pereira Moreira:
Simple Unsupervised Similarity-Based Aspect Extraction. - Varuna De Silva:
A Critical Analysis of Patch Similarity Based Image Denoising Algorithms. - Jiakang Zheng, Jiayi Zhang, Emil Björnson, Bo Ai:
Cell-Free Massive MIMO with Channel Aging and Pilot Contamination. - Ishita Doshi, Sreekalyan Sajjalla, Jayesh Choudhari, Rushi Bhatt, Anirban Dasgupta:
Efficient Hierarchical Clustering for Classification and Anomaly Detection. - Madhav Agarwal, Ajoy Mondal, C. V. Jawahar:
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images. - Shanshan Zhao, Mingming Gong, Huan Fu, Dacheng Tao:
Adaptive Context-Aware Multi-Modal Network for Depth Completion. - Chenhan Zhang:
Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel. - Yan Kang, Yang Liu, Tianjian Chen:
FedMVT: Semi-supervised Vertical Federated Learning with MultiView Training. - Mohanad Obeed, Anas Chaaban, Anas M. Salhab, Salam A. Zummo, Mohamed-Slim Alouini:
Physical Layer Security in Cooperative NOMA Hybrid VLC/RF Systems. - Ranajit Saha, Ajoy Mondal, C. V. Jawahar:
Graphical Object Detection in Document Images. - Dilruk Perera, Roger Zimmermann:
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users. - Dilruk Perera, Roger Zimmermann:
LSTM Networks for Online Cross-Network Recommendations. - Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu:
Discriminability Distillation in Group Representation Learning. - Maryam Habibi, Johannes Starlinger, Ulf Leser:
TabSim: A Siamese Neural Network for Accurate Estimation of Table Similarity. - Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto:
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning. - Saadullah Amin, Stalin Varanasi, Katherine Ann Dunfield, Günter Neumann:
LowFER: Low-rank Bilinear Pooling for Link Prediction. - Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo:
t-Soft Update of Target Network for Deep Reinforcement Learning. - Jan Neerbek:
Sensitive Information Detection: Recursive Neural Networks for Encoding Context. - Fabio Nobile, Davide Pradovera:
Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates. - Dilruk Perera, Roger Zimmermann:
Exploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations. - David Fernández Llorca, Mahdi Biparva, Rubén Izquierdo Gonzalo, John K. Tsotsos:
Two-Stream Networks for Lane-Change Prediction of Surrounding Vehicles. - Arunselvan Ramaswamy:
Theory of Deep Q-Learning: A Dynamical Systems Perspective. - Geneviève Dusson, Israel Sigal, Benjamin Stamm:
Analysis of the Feshbach-Schur method for the planewave discretizations of Schr{ö}dinger operators. - Gérard H. E. Duchamp, Vincel Hoang Ngoc Minh, Vu Nguyen Dinh:
Towards a noncommutative Picard-Vessiot theory. - Saja Khaled Tawalbeh, Mohammad Al-Smadi:
Is this sentence valid? An Arabic Dataset for Commonsense Validation. - Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Continual Domain Adaptation for Machine Reading Comprehension. - Ginevra Carbone, Gabriele Sarti:
ETC-NLG: End-to-end Topic-Conditioned Natural Language Generation. - Rik Helwegen, Christos Louizos, Patrick Forré:
Improving Fair Predictions Using Variational Inference In Causal Models. - Jing Chang, Wenrui Wang, Damien Chablat, Fouad Bennis:
Evaluating the Effect of Crutch-using on Trunk Muscle Loads. - Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Query Understanding via Intent Description Generation. - Zhaohua Chen, Guang Yang:
Decentralized Custody Scheme with Game-Theoretic Security. - Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik:
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. - Liang Liu, Ya-Feng Liu, Pratik Patil, Wei Yu:
Uplink-Downlink Duality Between Multiple-Access and Broadcast Channels with Compressing Relays. - Shuaiyi Huang, Qiuyue Wang, Xuming He:
Confidence-aware Adversarial Learning for Self-supervised Semantic Matching. - Mahdi Mohseni, Volker Gast, Christoph Redies:
Comparative Computational Analysis of Global Structure in Canonical, Non-Canonical and Non-Literary Texts. - Niranjan Saikumar, Kars Heinen, S. Hassan HosseinNia:
Loop-shaping for reset control systems - A higher-order sinusoidal-input describing functions approach. - Lorenzo Bertoni, Sven Kreiss, Taylor Mordan, Alexandre Alahi:
MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization. - Di Weng, Chengbo Zheng, Zikun Deng, Mingze Ma, Jie Bao, Yu Zheng, Mingliang Xu, Yingcai Wu:
Towards Better Bus Networks: A Visual Analytics Approach. - Shuxin Qin, Sijiang Liu:
Towards End-to-end Car License Plate Location and Recognition in Unconstrained Scenarios. - Jinheng Xie, Jun Wan, Linlin Shen, Zhihui Lai:
Think about boundary: Fusing multi-level boundary information for landmark heatmap regression. - Dimitri Braininger, Wolfgang Mauerer, Stefanie Scherzinger:
Replicability and Reproducibility of a Schema Evolution Study in Embedded Databases. - Meysam Nasimi, Mohammad Asif Habibi, Hans D. Schotten:
Platoon-assisted Vehicular Cloud in VANET: Vision and Challenges. - Kathrin Hanauer, Christian Schulz, Jonathan Trummer:
Faster Reachability in Static Graphs. - Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
A Survey on Evolutionary Neural Architecture Search. - Shuji Ohira, Araya Kibrom Desta, Tomoya Kitagawa, Ismail Arai, Kazutoshi Fujikawa:
Divider: Delay-Time Based Sender Identification in Automotive Networks. - Aisling McGlinchey, Oliver Mason:
Bounding the l_2 sensitivity for positive linear observers. - Estefania Recayte, Andrea Munari, Federico Clazzer:
Grant-Free Access: Machine Learning for Detection of Short Packets. - Anja Feldmann, Oliver Gasser, Franziska Lichtblau, Enric Pujol, Ingmar Poese, Christoph Dietzel, Daniel Wagner, Matthias Wichtlhuber, Juan Tapiador, Narseo Vallina-Rodriguez, Oliver Hohlfeld, Georgios Smaragdakis:
The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic. - Julien Despois, Frédéric Flament, Matthieu Perrot:
AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs. - Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi:
In-Home Daily-Life Captioning Using Radio Signals. - Eden Belouadah, Adrian Popescu, Umang Aggarwal, Léo Saci:
Active Class Incremental Learning for Imbalanced Datasets. - Shinji Hara, Tetsuya Iwasaki, Yutaka Hori:
Instability Margin Analysis with Application to Biological Oscillations. - Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann:
End-to-End Neural Transformer Based Spoken Language Understanding. - Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich:
Investigating the Performance Gap between Testing on Real and Denoised Aggregates in Non-Intrusive Load Monitoring. - Foto N. Afrati, Matthew Damigos:
On the complexity of query containment and computing certain answers in the presence of ACs. - Jorge A. Laval, Hao Zhou:
Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control. - Seyed MohammadReza Sajadi, S. H. Mahdioun, Amir Aminzadeh Ghavifekr:
Design of mechanical structure and tracking control system for 5 DOF surgical robot. - Christoph Salge, Emily Short, Mike Preuss, Spyridon Samothrakis, Pieter Spronck:
Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP). - Julien Siebert, Lisa Jöckel, Jens Heidrich, Koji Nakamichi, Kyoko Ohashi, Isao Namba, Rieko Yamamoto, Mikio Aoyama:
Towards Guidelines for Assessing Qualities of Machine Learning Systems. - Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection. - Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu:
Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field. - Mengyu Zhou, Qingtao Li, Yuejiang Li, Shi Han, Dongmei Zhang:
Table2Charts: Learning Shared Representations for Recommending Charts on Multi-dimensional Data. - Boyu Li, Kun He, Geng Sun:
Local Generalization and Bucketization Technique for Personalized Privacy Preservation. - Ralph Foorthuis, Marlies van Steenbergen, Nino Mushkudiani, Wiel Bruls, Sjaak Brinkkemper, Rik Bos:
On Course, But Not There Yet: Enterprise Architecture Conformance and Benefits in Systems Development. - Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang:
Multiple-Source Adaptation with Domain Classifiers. - Jiawei Ren, Cunjun Yu, Zhongang Cai, Haiyu Zhao:
Balanced Activation for Long-tailed Visual Recognition. - Kenneth Lai, Svetlana N. Yanushkevich:
Machine Reasoning to Assess Pandemics Risks: Case of USS Theodore Roosevelt. - Yu-Hui Lee, Shang-Hong Lai:
ByeGlassesGAN: Identity Preserving Eyeglasses Removal for Face Images. - Jun Wei, Shuhui Wang, Zhe Wu, Chi Su, Qingming Huang, Qi Tian:
Label Decoupling Framework for Salient Object Detection. - Dario Andrea Bini, Guy Latouche, Beatrice Meini:
A family of fast fixed point iterations for M/G/1-type Markov chains. - Martin Docekal, Martin Fajcik, Josef Jon, Pavel Smrz:
JokeMeter at SemEval-2020 Task 7: Convolutional humor. - Gabriel Lefundes, Luciano Oliveira:
On estimating gaze by self-attention augmented convolutions. - Mojtaba Barzegari, Liesbet Geris:
Highly scalable numerical simulation of coupled reaction-diffusion systems with moving interfaces. - Stefan Felsner, Michael Hoffmann, Kristin Knorr, Irene Parada:
On the Maximum Number of Crossings in Star-Simple Drawings of Kn with No Empty Lens. - Jalves Nicácio, Fábio Petrillo:
Applying system descriptors to address ambiguity on deployment diagrams. - Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang:
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework. - Vincent Danos, Tobias Heindel, Ricardo Honorato-Zimmer, Sandro Stucki:
Rate Equations for Graphs. - Volker Strobel, Alexandra Kirsch:
MyPDDL: Tools for efficiently creating PDDL domains and problems. - Denis Tan Jing Yu, Adrian Wing-Keung Law:
An Economic Perspective on Predictive Maintenance of Filtration Units. - Miriam Bellver, Amaia Salvador, Jordi Torres, Xavier Giró-i-Nieto:
Mask-guided sample selection for Semi-Supervised Instance Segmentation. - Amanuel Alambo, Ryan Andrew, Sid Gollarahalli, Jacqueline Vaughn, Tanvi Banerjee, Krishnaprasad Thirunarayan, Daniel M. Abrams, Nirmish Shah:
Measuring Pain in Sickle Cell Disease using Clinical Text. - William Diggin, Michael Diggin:
Using the discrete radon transformation for grayscale image moments. - Shreepad Shukla:
Historical Context and Key Features of Digital Money Tokens. - Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang:
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. - Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang:
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. - Samson Abramsky, Dan Marsden:
Comonadic semantics for guarded fragments. - Jialiang Wang, Varun Jampani, Deqing Sun, Charles T. Loop, Stan Birchfield, Jan Kautz:
Improving Deep Stereo Network Generalization with Geometric Priors. - Amir Aminzadeh Ghavifekr, Mohammad Ali Badamchizadeh, Amir Rikhtehgar Ghiasi, Farzad Hashemzadeh:
Passivity Analysis of Discrete-time Counterparts of the Bilateral Controlled Teleoperation Systems. - Aqeel Anwar, Arijit Raychowdhury:
Masked Face Recognition for Secure Authentication. - Simon Eismann, Joel Scheuner, Erwin Van Eyk, Maximilian Schwinger, Johannes Grohmann, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup:
A Review of Serverless Use Cases and their Characteristics. - Jonathan Ashbrock, Alexander M. Powell:
Stochastic Markov Gradient Descent and Training Low-Bit Neural Networks. - Temitayo O. Olowu, Arif I. Sarwat:
Smart Inverters Functionalities and their Impacts on Distribution Feeders at High Photovoltaic Penetration: An Overview. - Miguel A. López-Carmona, Alvaro Paricio:
LED wristbands for Cell-based Crowd Evacuation: an Adaptive Exit-choice Guidance System Architecture. - Amine Dadoun, Raphaël Troncy:
Many-to-one Recurrent Neural Network for Session-based Recommendation. - Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor:
Convergence of Federated Learning over a Noisy Downlink. - Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, Nachiappan Nagappan:
A Tale of Two Cities: Software Developers Working from Home During the COVID-19 Pandemic. - Akshat Gupta, Milan Desai, Wusheng Liang, Magesh Kannan:
Spatiotemporal Action Recognition in Restaurant Videos. - Feiyan Hu, Kevin McGuinness:
FastSal: a Computationally Efficient Network for Visual Saliency Prediction. - Léopold Cambier, Rahul Sarkar:
The Index of Invariance and its Implications for a Parameterized Least Squares Problem. - Lukas Faber, Sandro Luck, Damian Pascual, Andreas Roth, Gino Brunner, Roger Wattenhofer:
Medley2K: A Dataset of Medley Transitions. - Taylor J. Smith, Kai Salomaa:
Concatenation Operations and Restricted Variants of Two-Dimensional Automata. - Arno Pauly:
An update on Weihrauch complexity, and some open questions. - Tingting Xie, Christos Tzelepis, Ioannis Patras:
Boundary Uncertainty in a Single-Stage Temporal Action Localization Network. - Robin Strudel, Ricardo Garcia Pinel, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid:
Learning Obstacle Representations for Neural Motion Planning. - Mahdi Barzegar Khalilsarai, Tianyu Yang, Saeid Haghighatshoar, Xinping Yi, Giuseppe Caire:
Dual-Polarized FDD Massive MIMO: A Comprehensive Framework. - Vladimir Vargas-Calderón, Juan S. Flórez, Leonel F. Ardila, Nicolás Parra-A., Jorge E. Camargo, Nelson Vargas:
Learning from students' perception on professors through opinion mining. - William Thong, Cees G. M. Snoek:
Bias-Awareness for Zero-Shot Learning the Seen and Unseen. - Ramesh Bobby Addanki, S. Durga Bhavani:
Multi-team Formation using Community Based Approach in Real-World Networks. - Jonathan Sillito, Esdras Kutomi:
Failures and Fixes: A Study of Software System Incident Response. - Vitaly Feldman, Tijana Zrnic:
Individual Privacy Accounting via a Renyi Filter. - Omid Taheri, Nima Ghorbani, Michael J. Black, Dimitrios Tzionas:
GRAB: A Dataset of Whole-Body Human Grasping of Objects. - Vít Ruzicka, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Deep Active Learning in Remote Sensing for data efficient Change Detection. - Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang:
Learning to Learn in a Semi-Supervised Fashion. - Anna M. Kruspe:
A simple method for domain adaptation of sentence embeddings. - Olumide Leshi:
Uncovering Soccer Teams Passing Strategies Using Implication Rules. - Zhe Jiang, Arpan Man Sainju:
A Hidden Markov Tree Model for Flood Extent Mapping in Heavily Vegetated Areas based on High Resolution Aerial Imagery and DEM: A Case Study on Hurricane Matthew Floods. - Stefan Zellmann, Martin Weier, Ingo Wald:
Accelerating Force-Directed Graph Drawing with RT Cores. - Vishal Dey, Peter Krasniak, Minh Nguyen, Clara Lee, Xia Ning:
Understanding Breast Implant Illness via Social Media Data Analysis. - Dorin Ungureanu, Federica Bogo, Silvano Galliani, Pooja Sama, Xin Duan, Casey Meekhof, Jan Stühmer, Thomas J. Cashman, Bugra Tekin, Johannes L. Schönberger, Pawel Olszta, Marc Pollefeys:
HoloLens 2 Research Mode as a Tool for Computer Vision Research. - Marco Liuni, Luc Ardaillon, Louise Bonal, Lou Seropian, Jean-Julien Aucouturier:
ANGUS: Real-time manipulation of vocal roughness for emotional speech transformations. - Xavier Garcia, Adrian Rodriguez-Herrera:
Machine learning applied in the multi-scale 3D stress modelling. - Michael Correll:
What Do We Actually Learn from Evaluations in the "Heroic Era" of Visualization? - Ting-Ting Xie, Christos Tzelepis, Ioannis Patras:
Temporal Action Localization with Variance-Aware Networks. - Gilbert Bernstein, Michael Mara, Tzu-Mao Li, Dougal Maclaurin, Jonathan Ragan-Kelley:
Differentiating a Tensor Language. - Alberto Poncelas, Pintu Lohar, Andy Way, James Hadley:
The Impact of Indirect Machine Translation on Sentiment Classification. - Megan Charity, Dipika Rajesh, Rachel Ombok, Lisa B. Soros:
Say "Sul Sul!" to SimSim, A Sims-Inspired Platform for Sandbox Game AI. - Niki Gitinabard, Ruth Okoilu, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
Student Teamwork on Programming Projects: What can GitHub logs show us? - Luyao Shang, Morteza Hashemi, Taejoon Kim, Erik Perrins:
Delay-Efficient and Reliable Data Relaying in Ultra Dense Networks using Rateless Codes. - Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan:
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. - Helen L. Cleaves, Alen Alexanderian, Bilal Saad:
Structure exploiting methods for fast uncertainty quantification in multiphase flow through heterogeneous media. - Hassan Arbabi, Judith E. Bunder, Giovanni Samaey, Anthony J. Roberts, Ioannis G. Kevrekidis:
Linking Machine Learning with Multiscale Numerics: Data-Driven Discovery of Homogenized Equations. - Yi Li, Jing Lin, Kaiqi Xiong:
An Adversarial Attack Defending System for Securing In-Vehicle Networks. - Dimitris Stripelis, José Luis Ambite:
Accelerating Federated Learning in Heterogeneous Data and Computational Environments. - Andrew Wentzel, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, G. Elisabeta Marai:
Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology. - Krishna Somandepalli, Rajat Hebbar, Shrikanth Narayanan:
Multi-Face: Self-supervised Multiview Adaptation for Robust Face Clustering in Videos. - Athar Sefid, Clyde Lee Giles, Prasenjit Mitra:
Extractive Summarizer for Scholarly Articles. - Emily Jensen, Bassam Bamieh:
On Structured-Closed-Loop versus Structured-Controller Design: the Case of Relative Measurement Feedback. - William Sims, Meera Sitharam:
Flip Paths Between Lattice Triangulations. - Byron C. Wallace, Sayantan Saha, Frank Soboczenski, Iain James Marshall:
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization. - Alexander V. Shvets, Leo Wanner:
Concept Extraction Using Pointer-Generator Networks. - Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed:
Transductive Information Maximization For Few-Shot Learning. - Abhiroop Bhattacharjee, Priyadarshini Panda:
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks. - Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman:
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses. - Karishma Sharma, Emilio Ferrara, Yan Liu:
Identifying Coordinated Accounts in Disinformation Campaigns. - Enrico Bertini, Michael Correll, Steven Franconeri:
Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations. - Édouard Bonnet:
Inapproximability of Diameter in super-linear time: Beyond the 5/3 ratio. - Mohsen Minaei, Mainack Mondal, Aniket Kate:
"My Friend Wanted to Talk About It and I Didn't": Understanding Perceptions of Deletion Privacy in Social Platforms. - Ka Wing Tsang, Haotian Li, Fuk Ming Lam, Yifan Mu, Yong Wang, Huamin Qu:
TradAO: A Visual Analytics System for Trading Algorithm Optimization. - Maciej Besta, Armon Carigiet, Zur Vonarburg-Shmaria, Kacper Janda, Lukas Gianinazzi, Torsten Hoefler:
High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality. - Charlene Yang:
8 Steps to 3.7 TFLOP/s on NVIDIA V100 GPU: Roofline Analysis and Other Tricks. - Alan Chan, Kristopher De Asis, Richard S. Sutton:
Inverse Policy Evaluation for Value-based Sequential Decision-making. - T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Eigenvector Centrality Rankings. - Jiarong Ye, Yuan Xue, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Keith C. Cheng, Xiaolei Huang:
Synthetic Sample Selection via Reinforcement Learning. - Hongyinping Feng, Xiao-hui Wu, Bao-Zhu Guo:
Actuator Dynamics Compensation in Stabilization of Abstract Linear Systems. - Antonio Bracco, Federico Grunwald, Agustin Navcevich, Germán Capdehourat, Federico Larroca:
Museum Accessibility Through Wi-Fi Indoor Positioning. - Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang:
APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm. - Josimar E. Chire Saire:
Data Mining Approach to Analyze Covid19 Dataset of Brazilian Patients. - Maythem K. Abbas, Mohd Noh Karsiti, Madzlan Napiah, Brahim B. Samir:
Integrated Self-Organized Traffic Light Controllers for Signalized Intersections. - Rui Fan, Hengli Wang, Peide Cai, Ming Liu:
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection. - Lu Lv, Qingqing Wu, Zan Li, Naofal Al-Dhahir, Jian Chen:
Secure Two-Way Communications via Intelligent Reflecting Surfaces. - Shan Jia, Shuo Wang, Chuanbo Hu, Paula Webster, Xin Li:
Detection of Genuine and Posed Facial Expressions of Emotion: A Review. - Atsunobu Kotani, Stefanie Tellex, James Tompkin:
Generating Handwriting via Decouple Style Descriptors. - Fatemeh Ganji, Shahin Tajik:
Physically Unclonable Functions and AI: Two Decades of Marriage. - Sultangali Arzykulov, Abdulkadir Celik, Galymzhan Nauryzbayev, Ahmed M. Eltawil:
UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation. - Kaihua Qin, Henryk Hadass, Arthur Gervais, Joel Reardon:
Applying Private Information Retrieval to Lightweight Bitcoin Clients. - Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang:
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems. - Taotao Jing, Ming Shao, Zhengming Ding:
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation. - Simon Janin, Kaihua Qin, Akaki Mamageishvili, Arthur Gervais:
FileBounty: Fair Data Exchange. - Umur Aybars Ciftci, Ilke Demir, Lijun Yin:
How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals. - Zhengming Zhang, Zhewei Yao, Yaoqing Yang, Yujun Yan, Joseph E. Gonzalez, Michael W. Mahoney:
Benchmarking Semi-supervised Federated Learning. - Liping Zhang, Yue Zhu, Wei Ren, Yinghan Wang, Neal N. Xiong:
An Energy Efficient Authentication Scheme using Chebyshev Chaotic Map for Smart Grid Environment. - Chao-Hsuan Huang, Ishan G. Thakkar:
Mitigating the Latency-Area Tradeoffs for DRAM Design with Coarse-Grained Monolithic 3D (M3D) Integration. - Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh:
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification. - Chad Kelterborn, Marcin Mazur, Bogdan V. Petrenko:
Gravilon: Applications of a New Gradient Descent Method to Machine Learning. - Raha Moraffah, Bahman Moraffah, Mansooreh Karami, Adrienne Raglin, Huan Liu:
CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions. - Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See:
Effective Action Recognition with Embedded Key Point Shifts. - Hengli Wang, Rui Fan, Yuxiang Sun, Ming Liu:
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots. - Hiroshi Hirai, Motoki Ikeda:
A cost-scaling algorithm for computing the degree of determinants. - (Withdrawn) Time-frequency equivalence using chirp signals for electrochemical impedance spectroscopy.
- Gaurav Singh:
Decision Tree J48 at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text (Hinglish). - Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson:
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. - Ping Liu, Yuewei Lin, Zibo Meng, Weihong Deng, Joey Tianyi Zhou, Yi Yang:
Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition in the Wild. - Darius Afchar, Romain Hennequin:
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction. - Yuzhao Yang, Jérôme Darmont, Franck Ravat, Olivier Teste:
Automatic Integration Issues of Tabular Data for On-Line Analysis Processing. - Ivica Kopriva, Fei Shi, Mingying Lai, Marija Stanfel, Haoyu Chen, Xinjian Chen:
Low Tensor Train- and Low Multilinear Rank Approximations for De-speckling and Compression of 3D Optical Coherence Tomography Images. - Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan:
Learning Robust Node Representations on Graphs. - Meng Wang, Shiqi Wang, Junru Li, Li Zhang, Yue Wang, Siwei Ma, Sam Kwong:
Low Complexity Trellis-Coded Quantization in Versatile Video Coding. - Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen, Aleksandr Drozd, Jens Domke, Lingqi Zhang, Ryousei Takano, Satoshi Matsuoka:
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA. - Tsai-Shien Chen, Chih-Ting Liu, Chih-Wei Wu, Shao-Yi Chien:
Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network. - Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. - Andreas Bayha, Vincent Aravantinos:
Generic Analysis of Model Product Lines via Constraint Lifting. - Tobin South, Matthew Roughan, Lewis Mitchell:
Popularity and Centrality in Spotify Networks: Critical transitions in eigenvector centrality. - Diego Sánchez-Moreno, Yong Zheng, María N. Moreno García:
Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach. - Ajitabh Kumar:
Uncertainty-Aware Surrogate Model For Oilfield Reservoir Simulation. - Changsheng You, Beixiong Zheng, Rui Zhang:
Wireless Communication via Double IRS: Channel Estimation and Passive Beamforming Designs. - Sungho Suh, Paul Lukowicz, Yong Oh Lee:
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label. - Jason Armitage, Shramana Thakur, Rishi Tripathi, Jens Lehmann, Maria Maleshkova:
Training Multimodal Systems for Classification with Multiple Objectives. - Samik Some, Mithun Das Gupta, Vinay P. Namboodiri:
Determinantal Point Process as an alternative to NMS. - Hanif Emamgholizadeh, Milad Nourizade, Mir Saman Tajbakhsh, Mahdieh Hashminezhad, Farzaneh Nasr Esfahani:
A Framework for Quantifying Controversy of Social Network Debates Using Attributed Networks: Biased Random Walk (BRW). - Arda Asik, Ibrahim Bugra Demir, Berker Demirel, Baris Batuhan Topal, Kamer Kaya:
Vertex Ordering Algorithms for Graph Coloring Problem. - Yunhao Mao, Meng Wang, Shiqi Wang, Sam Kwong:
High Efficiency Rate Control for Versatile Video Coding Based on Composite Cauchy Distribution. - Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong Liu, Wanlong Li, Feng Wen:
Semantic Graph Based Place Recognition for 3D Point Clouds. - Thilo Hagendorff:
Ethical behavior in humans and machines - Evaluating training data quality for beneficial machine learning. - Coline Devin, Payam Rowghanian, Chris Vigorito, William Richards, Khashayar Rohanimanesh:
Self-Supervised Goal-Conditioned Pick and Place. - Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao, Xiaowei Zhou:
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation. - M. Akif Özkan, Burak Ok, Bo Qiao, Jürgen Teich, Frank Hannig:
HipaccVX: Wedding of OpenVX and DSL-based Code Generation. - Koya Tango, Marie Katsurai, Hayato Maki, Ryosuke Goto:
Anime-to-Real Clothing: Cosplay Costume Generation via Image-to-Image Translation. - Wanhong Huang:
Machine learning approach of Japanese composition scoring and writing aided system's design. - Rubén Izquierdo, Álvaro Quintanar, Ignacio Parra, David Fernández Llorca, Miguel Ángel Sotelo:
Vehicle Trajectory Prediction in Crowded Highway Scenarios Using Bird Eye View Representations and CNNs. - André Brás, Miguel A. Simão, Pedro Neto:
Gesture Recognition from Skeleton Data for Intuitive Human-Machine Interaction. - Markus Faustmann, Jens Markus Melenk, Maryam Parvizi:
Caccioppoli-type estimates and H-Matrix approximations to inverses for FEM-BEM couplings. - Rob van Glabbeek:
Reactive Bisimulation Semantics for a Process Algebra with Time-Outs. - Bernhard Beckermann, Alice Cortinovis, Daniel Kressner, Marcel Schweitzer:
Low-rank updates of matrix functions II: Rational Krylov methods. - Melisa Idil Sener, Yukie Nagai, Erhan Öztop, Emre Ugur:
Intrinsic Motivation in Object-Action-Outcome Blending Latent Space. - Juepeng Zheng, Haohuan Fu, Weijia Li, Wenzhao Wu, Yi Zhao, Runmin Dong, Le Yu:
Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network. - Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Sebastian Hennen, Laura Leal-Taixé, Bastian Leibe:
Making a Case for 3D Convolutions for Object Segmentation in Videos. - Sai Sidhardh, Sansit Patnaik, Fabio Semperlotti:
Fractional-Order Structural Stability: Formulation and Application to the Critical Load of Slender Structures. - Xueyuan Han, Xiao Yu, Thomas F. J.-M. Pasquier, Ding Li, Junghwan Rhee, James Mickens, Margo I. Seltzer, Haifeng Chen:
SIGL: Securing Software Installations Through Deep Graph Learning. - Azlan Iqbal:
The Effects of Quantum Randomness on a System Exhibiting Computational Creativity. - Hampei Sasahara, Takayuki Ishizaki, Jun-ichi Imura:
Parameterization of All Output-Rectifying Retrofit Controllers. - Weiming Zhuang, Yonggang Wen, Xuesen Zhang, Xin Gan, Daiying Yin, Dongzhan Zhou, Shuai Zhang, Shuai Yi:
Performance Optimization for Federated Person Re-identification via Benchmark Analysis. - Aniello Murano, Sasha Rubin, Martin Zimmermann:
Optimal Strategies in Weighted Limit Games (full version). - Jen Rogers, Austin H. Patton, Luke Harmon, Alexander Lex, Miriah Meyer:
Insights From Experiments With Rigor in an EvoBio Design Study. - Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He:
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. - Thomas Ponn, Fabian Müller, Frank Diermeyer:
Systematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models. - Selim Firat Yilmaz, E. Batuhan Kaynak, Aykut Koç, Hamdi Dibeklioglu, Suleyman Serdar Kozat:
Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance. - Sunny Katyara, Fanny Ficuciello, Darwin G. Caldwell, Bruno Siciliano, Fei Chen:
Leveraging Kernelized Synergies on Shared Subspace for Precision Grasp and Dexterous Manipulation. - John Charlton, Luis Rene Montana Gonzalez, Steve Maddock, Paul Richmond:
Simulating Crowds and Autonomous Vehicles. - Thomas Ponn, Thomas Lanz, Frank Diermeyer:
Automatic Generation of Road Geometries to Create Challenging Scenarios for Automated Vehicles Based on the Sensor Setup. - Dmitry Grigorev, Vladimir Ivanov:
Inno at SemEval-2020 Task 11: Leveraging Pure Transformer for Multi-Class Propaganda Detection. - Payal, Sangita Kansal:
Logic Signed Petri Net. - Lele Cheng, Xiangzeng Zhou, Liming Zhao, Dangwei Li, Hong Shang, Yun Zheng, Pan Pan, Yinghui Xu:
Weakly Supervised Learning with Side Information for Noisy Labeled Images. - Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós:
A Prospective Study on Sequence-Driven Temporal Sampling and Ego-Motion Compensation for Action Recognition in the EPIC-Kitchens Dataset. - Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, Kaustav Goswami, Dip Sankar Banerjee:
An Approximate Carry Estimating Simultaneous Adder with Rectification. - Min Zhang, Weizhang Huang, Jianxian Qiu:
A well-balanced positivity-preserving quasi-Lagrange moving mesh DG method for the shallow water equations. - Xinshuo Weng, Ye Yuan, Kris Kitani:
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting. - Chirag Agarwal, Sara Hooker:
Estimating Example Difficulty using Variance of Gradients. - Christina Müller, Marcus Brandenburger, Christian Cachin, Pascal Felber, Christian Göttel, Valerio Schiavoni:
TZ4Fabric: Executing Smart Contracts with ARM TrustZone. - Chunhui Li, Xingshu Chen, Haizhou Wang, Yu Zhang, Peiming Wang:
An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network. - Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigün:
Cross-Spectral Periocular Recognition with Conditional Adversarial Networks. - Marco Caliari, Lukas Einkemmer, Alexander Moriggl, Alexander Ostermann:
An accurate and time-parallel rational exponential integrator for hyperbolic and oscillatory PDEs. - Daniel Loureiro, Kiamehr Rezaee, Mohammad Taher Pilehvar, José Camacho-Collados:
Language Models and Word Sense Disambiguation: An Overview and Analysis. - Thomas Ponn, Matthias Breitfuß, Xiao Yu, Frank Diermeyer:
Identification of Challenging Highway-Scenarios for the Safety Validation of Automated Vehicles Based on Real Driving Data. - Ruslan Alexandrovich Morozov:
Convolutional Polar Kernels. - Andrew Quijano, Kemal Akkaya:
Server-side Fingerprint-Based Indoor Localization Using Encrypted Sorting. - Sunny Katyara, Fanny Ficuciello, Darwin G. Caldwell, Fei Chen, Bruno Siciliano:
Reproducible Pruning System on Dynamic Natural Plants for Field Agricultural Robots. - Zheng Xiao, Dan He, Yu Chen, Anthony Theodore Chronopoulos, Schahram Dustdar, Jiayi Du:
A Bilateral Game Approach for Task Outsourcing in Multi-access Edge Computing. - Xiaowen Ye, Yiding Yu, Liqun Fu:
The optimal network throughputs when the model-aware node coexists with other nodes using different MAC protocols. - Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh:
GuardNN: Secure DNN Accelerator for Privacy-Preserving Deep Learning. - Alvaro Cabrejas Egea, Shaun Howell, Maksis Knutins, Colm Connaughton:
Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations. - Mikolaj Bojanczyk:
Languages recognised by finite semigroups, and their generalisations to objects such as trees and graphs, with an emphasis on definability in monadic second-order logic. - Kishan Kumar Ganguly, Noshin Tahsin, Mridha Md. Nafis Fuad, Toukir Ahammed, Moumita Asad, Syed Fatiul Huq, A. T. M. Fazlay Rabbi, Kazi Sakib:
Impact on the Productivity of Remotely Working IT Professionals of Bangladesh during the Coronavirus Disease 2019. - Abhinav Ravi, Sandeep Repakula, Ujjal Kr Dutta, Maulik Parmar:
Buy Me That Look: An Approach for Recommending Similar Fashion Products. - Samir S. Yadav, Mininath R. Bendre, Pratap S. Vikhe, Shivajirao M. Jadhav:
Analysis of deep machine learning algorithms in COVID-19 disease diagnosis. - Carlo Michaelis, Andrew B. Lehr, Christian Tetzlaff:
Robust robotic control on the neuromorphic research chip Loihi. - Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Wouter Verbeke:
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks. - Tingyu Wang, Zhedong Zheng, Chenggang Yan, Yi Yang:
Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization. - Javier Lorenzo, Ignacio Parra, Florian Wirth, Christoph Stiller, David Fernández Llorca, Miguel Ángel Sotelo:
RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features. - Masataro Asai, Zilu Tang:
Discrete Word Embedding for Logical Natural Language Understanding. - Huan Zhao, Lanning Wei, Quanming Yao:
Simplifying Architecture Search for Graph Neural Network. - Jacques Wainer, Pablo Fonseca:
How to tune the RBF SVM hyperparameters?: An empirical evaluation of 18 search algorithms. - Elias Brugger, Christian Freude, Michael Wimmer:
Test Scene Design for Physically Based Rendering. - Rajdeep Hazra Banerjee, Abhinav Ravi, Ujjal Kr Dutta:
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes. - Yewei Zhang, Kejie Huang, Rui Xiao, Haibin Shen:
An 8-bit In Resistive Memory Computing Core with Regulated Passive Neuron and Bit Line Weight Mapping. - Mahdi Rezaei, Mohsen Azarmi:
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic. - Nina Mujkanovic, Karthee Sivalingam, Alfio Lazzaro:
Optimising AI Training Deployments using Graph Compilers and Containers. - Michael L. Nelson, Herbert Van de Sompel:
A 25 Year Retrospective on D-Lib Magazine. - Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang:
What is being transferred in transfer learning? - Yanyu Zhang, Osama Alshaykh:
5G Utility Pole Planner Using Google Street View and Mask R-CNN. - Vignesh Prasad, Ruth Stock-Homburg, Jan Peters:
Advances in Human-Robot Handshaking. - Thomas Lew, Apoorva Sharma, James Harrison, Marco Pavone:
Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework. - Alberto Casagrande, Francesco Fabris, Rossano Girometti:
Computing Information Agreement. - Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Delving into Inter-Image Invariance for Unsupervised Visual Representations. - Samiul Anwar, Francesco Lettich, Mario A. Nascimento:
Towards A Personal Shopper's Dilemma: Time vs Cost. - Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang:
Bandit Data-driven Optimization: AI for Social Good and Beyond. - Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, Haizhou Wang:
A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo. - Yun-Chun Chen, Chen Gao, Esther Robb, Jia-Bin Huang:
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search. - Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang:
DRG: Dual Relation Graph for Human-Object Interaction Detection. - Maryam Abdirad, Krishna Krishnan, Deepak Gupta:
A Three-Stage Algorithm for the Large Scale Dynamic Vehicle Routing Problem with an Industry 4.0 Approach. - Hua Shen, Ting-Hao Kenneth Huang:
How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels. - Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane, Swagatam Das:
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis. - Petr Jancar, Petr Osicka, Zdenek Sawa:
Countdown games, and simulation on (succinct) one-counter nets. - Sainul Islam Ansary, Sankha Deb, Alok Kanti Deb:
Design of a sensor integrated adaptive gripper. - Mohammad Zaki Zadeh, Ashwin Ramesh Babu, Ashish Jaiswal, Fillia Makedon:
Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks. - Oliver J. Woodford, Edward Rosten:
Large Scale Photometric Bundle Adjustment. - Bi Li, Chengquan Zhang, Zhibin Hong, Xu Tang, Jingtuo Liu, Junyu Han, Errui Ding, Wenyu Liu:
Learning Global Structure Consistency for Robust Object Tracking. - Shasha Li, Karim Khalil, Rameswar Panda, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, Ananthram Swami:
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks. - Yunan Yang:
Anderson Acceleration for Seismic Inversion. - Giacomo Capodaglio, Marta D'Elia, Max D. Gunzburger, Pavel B. Bochev, Manuel Klar, Christian Vollmann:
A general framework for substructuring-based domain decomposition methods for models having nonlocal interactions. - Taesup Kim, Sungwoong Kim, Yoshua Bengio:
Visual Concept Reasoning Networks. - Joachim Deutscher, Nicole Gehring:
Output Feedback Control of Coupled Linear Parabolic ODE-PDE-ODE Systems. - Guy Clarke Marshall, Caroline Jay, André Freitas:
Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework. - Daniel Gibney, Gary Hoppenworth, Sharma V. Thankachan:
Simple Reductions from Formula-SAT to Pattern Matching on Labeled Graphs and Subtree Isomorphism. - Erlend Storvik, Jakub Wiktor Both, Juan Michael Sargado, Jan Martin Nordbotten, Florin Adrian Radu:
An accelerated staggered scheme for phase-field modeling of brittle fracture. - Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh:
Expressive Telepresence via Modular Codec Avatars. - David Maoujoud, Gavin Rens:
Reputation-driven Decision-making in Networks of Stochastic Agents. - Daniela Vorkel, Robert Haase:
GPU-accelerating ImageJ Macro image processing workflows using CLIJ. - Abdullah Yousafzai, Choong Seon Hong:
SmartSON: A Smart contract driven incentive management framework for Self-Organizing Networks. - Fatima Zahrah, Jason R. C. Nurse, Michael Goldsmith:
#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives. - Harsh Satija, Philip Amortila, Joelle Pineau:
Constrained Markov Decision Processes via Backward Value Functions. - Kien Nguyen, John Krumm, Cyrus Shahabi:
Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces. - Pouria A. Mistani, Samira Pakravan, Frédéric Gibou:
A fractional stochastic theory for interfacial polarization of cell aggregates. - Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield:
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera. - Wei Zhao, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto:
SHAP values for Explaining CNN-based Text Classification Models. - Rohit Agarwal, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad:
Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs. - Hammond A. Pearce, Xin Yang, Partha S. Roop, Marc Katzef, Tórur Biskopstø Strøm:
Designing Neural Networks for Real-Time Systems. - Sai Munikoti, Kexing Lai, Balasubramaniam Natarajan:
Robustness Assessment of Hetero-Functional Graph Theory Based Model of Interdependent Urban Utility Networks. - Wenqian Dong, Jie Liu, Zhen Xie, Dong Li:
Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation. - Francisco Luongo, Ryan Hakim, Jessica H. Nguyen, Animashree Anandkumar, Andrew J. Hung:
Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery. - Adam S. Williams, Sarah Coler, Francisco R. Ortega:
Conversations On Multimodal Input Design With Older Adults. - Rylan Perumal, Terence L. van Zyl:
Surrogate Assisted Methods for the Parameterisation of Agent-Based Models. - Vijay K. Garg, Saptaparni Kumar, Lewis Tseng, Xiong Zheng:
Amortized Constant Round Atomic Snapshot in Message-Passing Systems. - Changwan Hong, Laxman Dhulipala, Julian Shun:
Exploring the Design Space of Static and Incremental Graph Connectivity Algorithms on GPUs. - Paul Égré, Benjamin Spector, Adèle Mortier, Steven Verheyen:
On the Optimality of Vagueness: "Around", "Between", and the Gricean Maxims. - Soumyadeep Dey, Jayanta Mukhopadhyay, Shamik Sural:
Tabular Structure Detection from Document Images for Resource Constrained Devices Using A Row Based Similarity Measure. - Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau:
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. - Habib Asseiss Neto, Ronnie Cley de Oliveira Alves, Sérgio Vale Aguiar Campos:
NASirt: AutoML based learning with instance-level complexity information. - Ziheng Wang:
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference. - Hao Chen, Xiaolin Tang, Teng Liu:
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon. - Mohammad Jafar Mashhadi, Hadi Hemmati:
Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems. - José Antonio Hernández López, Jesús Sánchez Cuadrado:
MAR: A structure-based search engine for models. - Xiaoling Hu, Caijun Zhong, Mohamed-Slim Alouini, Zhaoyang Zhang:
Robust Design for IRS-Aided Communication Systems with User Location Uncertainty. - Vardan Papyan:
Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra. - Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai:
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. - Hyunjong Lee, Shadi A. Noghabi, Brian Noble, Matthew Furlong, Landon P. Cox:
BumbleBee: Application-aware adaptation for container orchestration. - Xinsong Zhang, Hang Li:
AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization. - Wenceslao Villegas Marset, Diego Sebastián Pérez, Carlos Ariel Díaz, Facundo Bromberg:
Deep Learning for 2D grapevine bud detection. - Taotao Jing, Haifeng Xia, Zhengming Ding:
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation. - Nematollah Iri:
Type Size Code for Compressing Erdös-Rényi Graphs. - Hailiang Liu, Peimeng Yin:
On the SAV-DG method for a class of fourth order gradient flows. - Taotao Jing, Zhengming Ding:
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation. - Sana Keita, Abdelaziz Beljadid, Yves Bourgault:
Efficient second-order semi-implicit finite element method for fourth-order nonlinear diffusion equations. - Martin Khannouz, Tristan Glatard:
A benchmark of data stream classification for human activity recognition on connected objects. - Parth Mannan, Ananda Samajdar, Tushar Krishna:
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices. - Xuewen Yang, Dongliang Xie, Xin Wang:
Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation. - Samir Chowdhury, Steve Huntsman, Matvey Yutin:
Path homology and temporal networks. - Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee:
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. - Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng, Ping Luo, Wayne Zhang:
Webly Supervised Image Classification with Self-Contained Confidence. - Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning. - Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz, Ahmet Baki Kocaballi, Ying Wang, Liliana Laranjo, Enrico W. Coiera:
Automatic Speech Summarisation: A Scoping Review. - Ji Liu, Heshan Liu, Mang Tik Chiu, Yu-Wing Tai, Chi-Keung Tang:
Pose-Guided High-Resolution Appearance Transfer via Progressive Training. - Xiao Xie, Moqi He, Yingcai Wu:
CausalFlow: Visual Analytics of Causality in Event Sequences. - Robson A. Campêlo, Marco A. Casanova, Dorgival O. Guedes, Alberto H. F. Laender:
A Brief Survey on Replica Consistency in Cloud Environments. - Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez:
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving. - Oussama Dhifallah, Yue M. Lu:
A Precise Performance Analysis of Learning with Random Features. - Oliver Biggar, Mohammad Zamani, Iman Shames:
A principled analysis of Behavior Trees and their generalisations. - Ensieh Davoodijam, Nasser Ghadiri, Maryam Lotfi Shahreza, Fabio Rinaldi:
MultiGBS: A multi-layer graph approach to biomedical summarization. - Brady Zhou, Nimit Kalra, Philipp Krähenbühl:
Domain Adaptation Through Task Distillation. - Ai Takahashi, Yoshinori Koda, Koichi Ito, Takafumi Aoki:
Fingerprint Feature Extraction by Combining Texture, Minutiae, and Frequency Spectrum Using Multi-Task CNN. - Tigran Ishkhanov, Maxim Naumov, Xianjie Chen, Yan Zhu, Yuan Zhong, Alisson Gusatti Azzolini, Chonglin Sun, Frank Jiang, Andrey Malevich, Liang Xiong:
Time-based Sequence Model for Personalization and Recommendation Systems. - Allan Costa, Benjamin Jenett, Irina Kostitsyna, Amira Abdel-Rahman, Neil Gershenfeld, Kenneth C. Cheung:
Algorithmic Approaches to Reconfigurable Assembly Systems. - Karan Khathuria:
Galois ring isomorphism problem. - Ke Ma, Bo Zhao, Leonid Sigal:
Attribute-guided image generation from layout. - Mikael Laakso, Lisa Matthias, Najko Jahn:
Open is not forever: a study of vanished open access journals. - Takeshi Onishi:
Relation/Entity-Centric Reading Comprehension. - Nathan de Lara, Thomas Bonald:
A Consistent Diffusion-Based Algorithm for Semi-Supervised Classification on Graphs. - Yongquan Yang, Zhongxi Zheng:
Moderately supervised learning: definition and framework. - Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion. - Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field. - Setareh Maghsudi, Max Davy:
Computational Models of Human Decision-Making with Application to the Internet of Everything. - Salman Mohebi, Mattia Lecci, Andrea Zanella, Michele Zorzi:
The challenges of Scheduling and Resource Allocation in IEEE 802.11ad/ay. - Chen-Hsiu Huang, Ja-Ling Wu:
Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos. - Qiang Han:
Improvement of a dedicated model for open domain persona-aware dialogue generation. - Yang Deng, Wenxuan Zhang, Wai Lam:
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce. - Ankan Bansal, Yuting Zhang, Rama Chellappa:
Visual Question Answering on Image Sets. - Jonghyun Kim, Gen Li, Inyong Yun, Cheolkon Jung, Joongkyu Kim:
Edge and Identity Preserving Network for Face Super-Resolution. - Sergio Barrachina-Muñoz, Boris Bellalta, Edward W. Knightly:
Wi-Fi All-Channel Analyzer. - Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski:
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. - Dmitri Kuzmin:
A new perspective on flux and slope limiting in discontinuous Galerkin methods for hyperbolic conservation laws. - Diego Mollá, Christopher Jones, Vincent Nguyen:
Query Focused Multi-document Summarisation of Biomedical Texts. - Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, Marius Kloft:
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. - Dongming Han, Wei Chen, Rusheng Pan, Yijing Liu, Jiehui Zhou, Ying Xu, Tianye Zhang, Changjie Fan, Jianrong Tao, Xiaolong Luke Zhang:
GraphFederator: Federated Visual Analysis for Multi-party Graphs. - Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla:
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. - Amelie Royer, Christoph H. Lampert:
A Flexible Selection Scheme for Minimum-Effort Transfer Learning. - Michael Hanus, Finn Teegen:
Memoized Pull-Tabbing for Functional Logic Programming. - Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. - Antoine Vanderschueren, Victor Joos, Christophe De Vleeschouwer:
How semantic and geometric information mutually reinforce each other in ToF object localization. - Yang Qiu, Nikolaos Tziortziotis, Martial Hue, Michalis Vazirgiannis:
Predicting conversions in display advertising based on URL embeddings. - Zaida Chinchilla-Rodríguez, Yi Bu, Nicolás Robinson-García, Cassidy R. Sugimoto:
An empirical review of the different variants of the Probabilistic Affinity Index as applied to scientific collaboration. - Zhongyuan Hau, Soteris Demetriou, Luis Muñoz-González, Emil C. Lupu:
GhostBuster: Looking Into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing. - Ananya B. Sai, Akash Kumar Mohankumar, Mitesh M. Khapra:
A Survey of Evaluation Metrics Used for NLG Systems. - Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee:
OFFER: A Motif Dimensional Framework for Network Representation Learning. - John Koutsikakis, Ilias Chalkidis, Prodromos Malakasiotis, Ion Androutsopoulos:
GREEK-BERT: The Greeks visiting Sesame Street. - Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy:
Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks? - Sajida Karim, Hui He, Asif Ali Laghari, Hina Madiha:
Quality of Service (QoS): Measurements of Video Streaming. - Jason R. Rambach, Gergana Lilligreen, Alexander Schäfer, Ramya Bankanal, Alexander Wiebel, Didier Stricker:
A survey on applications of augmented, mixed and virtual reality for nature and environment. - Ludmila I. Kuncheva, Clare E. Matthews, Álvar Arnaiz-González, Juan José Rodríguez:
Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale. - Benoit Duvocelle, János Flesch, Mathias Staudigl, Dries Vermeulen:
A competitive search game with a moving target. - Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari:
Meta-Learning with Shared Amortized Variational Inference. - Angelika Romanou, Panayiotis Smeros, Carlos Castillo, Karl Aberer:
SciLens News Platform: A System for Real-Time Evaluation of News Articles. - Claudio Ferrari, Lorenzo Berlincioni, Marco Bertini, Alberto Del Bimbo:
Inner Eye Canthus Localization for Human Body Temperature Screening. - Zhibo Zou, Junjie Huang, Ping Luo:
Compensation Tracker: Data Association Method for Lost Object. - Hiroaki Nishikawa:
On Fake Accuracy Verification. - Md. Abul Bashar, Kieren Astin-Walmsley, Kerina Heath, Richi Nayak:
Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty. - Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds. - Fernando Piñero, Prasant Singh:
Orbit Structure of Grassmannian G2, m and a decoder for Grassmann code C(2, m). - Antonios Antoniadis, Sándor Kisfaludi-Bak, Bundit Laekhanukit, Daniel Vaz:
On the Approximability of the Traveling Salesman Problem with Line Neighborhoods. - Philip Feldman:
Training robust anomaly detection using ML-Enhanced simulations. - Francesco Romor, Marco Tezzele, Andrea Lario, Gianluigi Rozza:
Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method. - Juan Diego Ortega, Neslihan Kose, Paola Cañas, Min-An Chao, Alexander Unnervik, Marcos Nieto, Oihana Otaegui, Luis Salgado:
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis. - Jakob Struye, Filip Lemic, Jeroen Famaey:
Towards Ultra-Low-Latency mmWave Wi-Fi for Multi-User Interactive Virtual Reality. - Armin Eftekhari, Konstantinos Zygalakis:
Implicit Regularization in Matrix Sensing: A Geometric View Leads to Stronger Results. - Mario A. Santillo, Mrdjan Jankovic:
Collision Free Navigation with Interacting, Non-Communicating Obstacles. - Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. - Katya Kudashkina, Patrick M. Pilarski, Richard S. Sutton:
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI. - Bernd Dudzik, Joost Broekens, Mark A. Neerincx, Hayley Hung:
A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context. - Pietro Chittò, Marcos Báez, Florian Daniel, Boualem Benatallah:
Automatic Generation of Chatbots for Conversational Web Browsing. - Audrey M. Bertin, Benjamin S. Baumer:
Creating optimal conditions for reproducible data analysis in R with 'fertile'. - Muhammad Surahman, Leon Andretti Abdillah, Ferdiansyah:
Penerapan Metode SVM-Based Machine Learning Untuk Menganalisa Pengguna Data Trafik Internet (Studi Kasus Jaringan Internet Wlan Mahasiswa Bina Darma). - Farooque Hassan Kumbhar, Syed Ali Hassan, Soo Young Shin:
New Normal: Cooperative Paradigm for Covid-19 Timely Detection and Containment using Internet of Things and Deep Learning. - Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis. - Rafael Morales-Gamboa, Luis Enrique Sucar:
Competence-Based Student Modelling with Dynamic Bayesian Networks. - Marco T. Morazán:
Using Video Game Development to Motivate Program Design and Algebra Among Inner-City High School Students. 78-99 - Bruce Collie, Philip Ginsbach, Jackson Woodruff, Ajitha Rajan, Michael F. P. O'Boyle:
M3: Semantic API Migrations. - Aneesh Mathews Paul, Sinnu SusanThomas:
Multifaceted COVID-19 Outbreak. - Lina Zhao, Ming Fai Lam, Eric T. Chung:
A uniformly robust staggered DG method for the unsteady Darcy-Forchheimer-Brinkman problem. - Christina Uhl, Nadia Abou Nabout, Klaus Miller:
How Much Ad Viewability is Enough? The Effect of Display Ad Viewability on Advertising Effectiveness. - Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao, Jianbing Shen, Ce Zhu:
Siamese Network for RGB-D Salient Object Detection and Beyond. - Galit Shmueli:
"Improving" prediction of human behavior using behavior modification. - Sherin Muckatira:
Properties Of Winning Tickets On Skin Lesion Classification. - Jesper Larsson Träff:
k-ported vs. k-lane Broadcast, Scatter, and Alltoall Algorithms. - William Cheung, Sudip Vhaduri:
Context-Dependent Implicit Authentication for Wearable Device User. - Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar:
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems. - Graham Dove, Martina Balestra, Devin M. Mann, Oded Nov:
Good for the Many or Best for the Few? A Dilemma in the Design of Algorithmic Advice. - Joost Engelfriet:
Computability by Monadic Second-Order Logic. - Aiusha Sangadiev, Rodrigo Rivera-Castro, Kirill Stepanov, Andrey Poddubny, Kirill Bubenchikov, Nikita Bekezin, Polina Pilyugina, Evgeny Burnaev:
DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data. - Shuai Wang, Qingchao Kong, Yuqi Wang, Lei Wang:
Enhancing Rumor Detection in Social Media Using Dynamic Propagation Structures. - Lingjuan Lyu, Xinyi Xu, Qian Wang:
Collaborative Fairness in Federated Learning. - Hiroaki Nishikawa:
Grid Quality Measures for Iterative Convergence. - Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images. - Tommi Jauhiainen, Heidi Jauhiainen, Niko Partanen, Krister Lindén:
Uralic Language Identification (ULI) 2020 shared task dataset and the Wanca 2017 corpus. - Anna M. Kruspe, Matthias Häberle, Iona Kuhn, Xiao Xiang Zhu:
Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic. - Wenceslao Shaw-Cortez, Dimos V. Dimarogonas:
On Compatibility and Region of Attraction for Safe, Stabilizing Control Laws. - Zhengbang Zha, Lei Hu:
Some classes of power functions with low c-differential uniformity over finite fields. - Shengli Jiang, Prasanna Balaprakash:
Graph Neural Network Architecture Search for Molecular Property Prediction. - Samira Briongos, Ida Bruhns, Pedro Malagón, Thomas Eisenbarth, José Manuel Moya:
CACHE SNIPER : Accurate timing control of cache evictions. - Akshunna S. Dogra, William T. Redman:
Local error quantification for efficient neural network dynamical system solvers. - Geert Heyman, Tom Van Cutsem:
Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent. - Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang:
Instance Adaptive Self-Training for Unsupervised Domain Adaptation. - Michael Feischl:
Inf-sup stability implies quasi-orthogonality. - Chi Liu, Tianqing Zhu, Jun Zhang, Wanlei Zhou:
Privacy Intelligence: A Survey on Image Sharing on Online Social Networks. - Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang:
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information. - Hualing Ren, Yingjie Song, Shubin Li:
Two-stage optimization of urban rail transit formation and real-time station control at comprehensive transportation hub. - Mohammed Hossny, Julie Iskander:
Biomechanic Posture Stabilisation via Iterative Training of Multi-policy Deep Reinforcement Learning Agents. - Olga Valba, A. S. Gorsky, Sergei Nechaev, Mikhail V. Tamm:
Analysis of English free association network reveals mechanisms of efficient solution of the Remote Association Tests. - Jerry Chee, Ping Li:
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum. - Peter A. Johnson, John C. Johnson, Lucas Tombrowski, Svetozar Zirnov, Riley Witiw, Austin A. Mardon:
Development of a biomechanical motion sensorimotor platform for enhanced locomotion under microgravity conditions. - Gaétan Berthe, Barnaby Martin, Daniël Paulusma, Siani Smith:
The complexity of L(p, q)-Edge-Labelling. - Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller:
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. - Junseok Lee, Christian Tirtawardhana, Hyun Myung:
Development and Analysis of Digging and Soil Removing Mechanisms for Mole-Bot: Bio-Inspired Mole-Like Drilling Robot. - Farbod Khoshnoud, Marco B. Quadrelli, Ibrahim I. Esat, Dario Robinson:
Quantum Cooperative Robotics and Autonomy. - Aranya Koshy, Shahin Tavakoli:
Exploring British Accents: Modeling the Trap-Bath Split with Functional Data Analysis. - Audrunas Gruslys, Marc Lanctot, Rémi Munos, Finbarr Timbers, Martin Schmid, Julien Pérolat, Dustin Morrill, Vinícius Flores Zambaldi, Jean-Baptiste Lespiau, John Schultz, Mohammad Gheshlaghi Azar, Michael Bowling, Karl Tuyls:
The Advantage Regret-Matching Actor-Critic. - Elliot Anshelevich, Wennan Zhu:
Forming better stable solutions in Group Formation Games inspired by Internet Exchange Points (IXPs). - Afonso S. Bandeira, Jess Banks, Dmitriy Kunisky, Cristopher Moore, Alexander S. Wein:
Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs. - Yuhao Kang, Song Gao, Yunlei Liang, Mingxiao Li, Jinmeng Rao, Jake Kruse:
Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic. - Fabio Montagna, Stefan Mach, Simone Benatti, Angelo Garofalo, Gianmarco Ottavi, Luca Benini, Davide Rossi, Giuseppe Tagliavini:
A transprecision floating-point cluster for efficient near-sensor data analytics. - Yi-Jin Pan, Kezhi Wang, Cunhua Pan, Huiling Zhu, Jiangzhou Wang:
Sum Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications. - Emily Clark, Angelie Vincent, J. Nathan Kutz, Steven L. Brunton:
Bracketing brackets with bras and kets. - Yunhao Yang, Andrew B. Whinston:
A Survey on Reinforcement Learning for Combinatorial Optimization. - Leonid B. Sokolinsky:
BSF-skeleton: user manual. - Hao Gong, Qifang Zhao, Tianyu Li, Derek Cho, DuyKhuong Nguyen:
Learning to Profile: User Meta-Profile Network for Few-Shot Learning. - Nassim Dehouche:
The k-interchange-constrained diameter of a transit network: A connectedness indicator that accounts for travel convenience. - Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing:
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. - Yuval Nirkin, Lior Wolf, Yosi Keller, Tal Hassner:
DeepFake Detection Based on the Discrepancy Between the Face and its Context. - Yu Sun, Qian Bao, Wu Liu, Yili Fu, Tao Mei:
CenterHMR: a Bottom-up Single-shot Method for Multi-person 3D Mesh Recovery from a Single Image. - Josimar E. Chire Saire, Kobby Panford-Quainoo:
Twitter Interaction to Analyze Covid-19 Impact in Ghana, Africa from March to July. - Minh Nguyen, Gia H. Ngo, Nancy F. Chen:
Adaptable Filtering using Hierarchical Embeddings for Chinese Spell Check. - Saskia Nuñez von Voigt, Mira Pauli, Johanna Reichert, Florian Tschorsch:
Every Query Counts: Analyzing the Privacy Loss of Exploratory Data Analyses. - Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang:
Entity and Evidence Guided Relation Extraction for DocRED. - Sébastien M. R. Arnold, Praateek Mahajan, Debajyoti Datta, Ian Bunner, Konstantinos Saitas Zarkias:
learn2learn: A Library for Meta-Learning Research. - Josimar E. Chire Saire, Khalid Mahmood:
Hope Amid of a Pandemic: Is Psychological Distress Alleviating in South America while Coronavirus is still on Surge? - Aleksander Holynski, David Geraghty, Jan-Michael Frahm, Chris Sweeney, Richard Szeliski:
Reducing Drift in Structure from Motion using Extended Features. - Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael F. Cohen:
One Shot 3D Photography. - Miriam Redi, Martin Gerlach, Isaac Johnson, Jonathan T. Morgan, Leila Zia:
A Taxonomy of Knowledge Gaps for Wikimedia Projects (First Draft). - David Z. Li, Masaru Ishii, Russell H. Taylor, Gregory D. Hager, Ayushi Sinha:
Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision. - Matilde Sánchez Fernández, Vahid Jamali, Jaime Llorca, Antonia M. Tulino:
Gridless Multidimensional Angle of Arrival Estimation for Arbitrary 3D Antenna Arrays. - Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
A Scene-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video. - Ralph Foorthuis:
The Impact of Discretization Method on the Detection of Six Types of Anomalies in Datasets. - Sarah Dean, Benjamin Recht:
Certainty Equivalent Perception-Based Control. - Gabe Schamberg, Marcus A. Badgeley, Emery N. Brown:
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning. - Vahid Noroozi, Yang Zhang, Evelina Bakhturina, Tomasz Kornuta:
A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset. - Taha Atahan Akyildiz, Amro Alabsi Aljundi, Kamer Kaya:
GOSH: Embedding Big Graphs on Small Hardware. - Gianluigi Pillonetto, Mauro Bisiacco, Giorgio Palù, Claudio Cobelli:
Tracking the time course of reproduction number and lockdown's effect during SARS-CoV-2 epidemic: nonparametric estimation. - Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde:
Adversarially Robust Learning via Entropic Regularization. - Tianyang Xie, Jie Ding:
Forecasting with Multiple Seasonality. - Jakob Kotas, Peter Pham, Sam Koellmann:
Optimal minimal-perturbation university timetabling with faculty preferences. - Ashwin Paranjape, Abigail See, Kathleen Kenealy, Haojun Li, Amelia Hardy, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Christopher D. Manning:
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations. - Tejaswini Mallavarapu, Luke Cranfill, Junggab Son, Eun Hye Kim, Reza M. Parizi, John Morris:
A Federated Approach for Fine-Grained Classification of Fashion Apparel. - Connor T. Heaton, Prasenjit Mitra:
Repurposing TREC-COVID Annotations to Answer the Key Questions of CORD-19. - Connor T. Heaton, David M. Schwartz:
Language Models as Emotional Classifiers for Textual Conversations. - Isha Ghodgaonkar, Subhankar Chakraborty, Vishnu Banna, Shane Allcroft, Mohammed Metwaly, Fischer Bordwell, Kohsuke Kimura, Xinxin Zhao, Abhinav Goel, Caleb Tung, Akhil Chinnakotla, Minghao Xue, Yung-Hsiang Lu, Mark Daniel Ward, Wei Zakharov, David S. Ebert, David M. Barbarash, George K. Thiruvathukal:
Analyzing Worldwide Social Distancing through Large-Scale Computer Vision. - Dongliang Jing, Yongzhao Li, Andrew W. Eckford:
Power Control for ISI Mitigation in Mobile Molecular Communication. - Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong:
Data-driven Computational Social Science: A Survey. - Marco T. Morazán:
How to Design While Loops. 1-18 - Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Metrics for Exposing the Biases of Content-Style Disentanglement. - Wentao Wu, Philip A. Bernstein, Alex Raizman, Christina Pavlopoulou:
Cost-based Query Rewriting Techniques for Optimizing Aggregates Over Correlated Windows. - Alvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela-Arrieta, Orçun Göksel:
Modality Attention and Sampling Enables Deep Learning with Heterogeneous Marker Combinations in Fluorescence Microscopy. - Nevin Vunka Jungum, Nawaz Mohamudally, Nimal Nissanke:
A Dynamic Load Balancing Algorithm for Distributing Mobile Codes in Multi-Applications and Multi-Hosts Environment. - Xi Chen, Anindya De, Chin Ho Lee, Rocco A. Servedio, Sandip Sinha:
Polynomial-time trace reconstruction in the smoothed complexity model. - Matthew Jones, Huy Le Nguyen, Thy Dinh Nguyen:
Differentially Private Clustering via Maximum Coverage. - Jordi Ventura, David Codony, Sonia Fernández-Méndez:
A C0 interior penalty finite element method for flexoelectricity. - Giulia De Pasquale, Maria Elena Valcher:
Consensus for Clusters of Agents with Cooperative and Antagonistic Relationships. - Sizhe Yuen, John D. Thomson, Oliver Don:
Automatic Player Identification in Dota 2. - Ben Saunders, Necati Cihan Camgöz, Richard Bowden:
Adversarial Training for Multi-Channel Sign Language Production. - Sam John, Akshay Gadde, Balu Adsumilli:
Rate distortion optimization over large scale video corpus with machine learning. - Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart H. Mostofsky, Archana Venkataraman:
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations. - Ornela Dardha, Jurriaan Rot:
Proceedings Combined 27th International Workshop on Expressiveness in Concurrency and 17th Workshop on Structural Operational Semantics, EXPRESS/SOS 2020, and 17th Workshop on Structural Operational SemanticsOnline, 31 August 2020. EPTCS 322, 2020 [contents] - Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng:
Regularized Densely-connected Pyramid Network for Salient Instance Segmentation. - Tianrou Xia, Yuanyi Sun, Sencun Zhu, Zeeshan Rasheed, Khurram Hassan-Shafique:
A Network-Assisted Approach for Ransomware Detection. - Seyedali Meghdadi, Guido Tack, Ariel Liebman:
Data-Driven Security Assessment of the Electric Power System. - Xuancong Wang, Nikola Vouk, Creighton Heaukulani, Thisum Buddhika, Wijaya Martanto, Jimmy Lee, Robert J. T. Morris:
HOPES - An Integrative Digital Phenotyping Platform for Data Collection, Monitoring and Machine Learning. - Pallabi Ghosh, Nirat Saini, Larry S. Davis, Abhinav Shrivastava:
All About Knowledge Graphs for Actions. - Md. Abul Bashar, Richi Nayak, Thirunavukarasu Balasubramaniam:
Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media. - Yingzhou Li, Jack Poulson, Lexing Ying:
Distributed-memory H-matrix Algebra I: Data Distribution and Matrix-vector Multiplication. - Wenchong He, Zhe Jiang:
Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction. - Jiangjing Lyu, Xiaobo Li, Xiangyu Zhu, Cheng Cheng:
Pixel-Face: A Large-Scale, High-Resolution Benchmark for 3D Face Reconstruction. - Zhenhang Huang, Shihao Sun, Ruirui Li:
Fast Single-shot Ship Instance Segmentation Based on Polar Template Mask in Remote Sensing Images. - Md. Abul Bashar, Richi Nayak:
QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. - Julie Stephany Berrio, Stewart Worrall, Mao Shan, Eduardo M. Nebot:
Long-term map maintenance pipeline for autonomous vehicles. - Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang:
Decoupled Variational Embedding for Signed Directed Networks. - Fei Ye, Pin Wang, Ching-Yao Chan, Jiucai Zhang:
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles. - Md. Abul Bashar, Richi Nayak, Nicolas Suzor, Bridget Weir:
Misogynistic Tweet Detection: Modelling CNN with Small Datasets. - Robert Bassett, Mitchell Graves:
Color and Edge-Aware Adversarial Image Perturbations. - Xu Ouyang, Gady Agam:
Adaptive WGAN with loss change rate balancing. - Meng Shen, Yaqian Wei, Tong Li:
Bluetooth-based COVID-19 Proximity Tracing Proposals: An Overview. - Guangshuai Gao, Qingjie Liu, Yunhong Wang:
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method. - Taehyun Kim, Hyomin Shin, Hyung Ju Hwang, Seungwon Jeong:
Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques. - Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Predicting Training Time Without Training. - Geonuk Kim, Honggyu Jung, Seong-Whan Lee:
Few-Shot Object Detection via Knowledge Transfer. - Muhammad Ali, Hendra I. Nurdin, John E. Fletcher:
Synthesizing Averaged Virtual Oscillator Dynamics to Control Inverters with an Output LCL Filter. - Kazuichi Oe:
Analysis of Interference between RDMA and Local Access on Hybrid Memory System. - Onel L. Alcaraz López, Francisco A. Monteiro, Hirley Alves, Rui Zhang, Matti Latva-aho:
A Low-Complexity Beamforming Design for Multiuser Wireless Energy Transfer. - Dinh Hoa Nguyen:
Electric Vehicle - Wireless Charging-Discharging Lane Decentralized Peer-to-Peer Energy Trading. - Ryota Akai, Yuzuko Utsumi, Yuka Miwa, Masakazu Iwamura, Koichi Kise:
Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images. - Dinh Hoa Nguyen, Andrew Chapman:
Universal Wireless Power Transfer for Energy Security, Availability and Convenience. - Oliver Biggar, Mohammad Zamani, Iman Shames:
On modularity in reactive control architectures, with an application to formal verification. - Rohan Garg:
Fast and Work-Optimal Parallel Algorithms for Predicate Detection. - Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura:
A Dataset and Baselines for Visual Question Answering on Art. - Genggeng Liu, Canyang Guo, Lin Xie, Wenxi Liu, Naixue Xiong, Guolong Chen:
An Intelligent CNN-VAE Text Representation Technology Based on Text Semantics for Comprehensive Big Data. - Simone Romano, Davide Fucci, Giuseppe Scanniello, Maria Teresa Baldassarre, Burak Turhan, Natalia Juristo:
Researcher Bias in Software Engineering Experiments: a Qualitative Investigation. - Saeed Vasebi, Yeganeh M. Hayeri:
Investigating Taxi and Uber competition in New York City: Multi-agent modeling by reinforcement-learning. - Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin Solomon:
Continuous Regularized Wasserstein Barycenters. - Paraskevi Chasani, Aristidis Likas:
The UU-test for Statistical Modeling of Unimodal Data. - Philipp Körner, David Schneider, Michael Leuschel:
On the Performance of Bytecode Interpreters in Prolog. - Isabel Wingen, Philipp Körner:
Effectiveness of Annotation-Based Static Type Inference. - Tingting Cai, Yangming Zhou, Hong Zheng:
Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition. - Yashank Singh, Niladri Chatterjee:
Temporal Random Indexing of Context Vectors Applied to Event Detection. - Yong-chan Park, Jun-Gi Jang, U Kang:
Fast Partial Fourier Transform. - Guy Clarke Marshall, André Freitas, Caroline Jay:
How Researchers Use Diagrams in Communicating Neural Network Systems. - Tripti Agarwal, Yashwanth Ramamurthi, Amit Chattopadhyay:
A Topological Similarity Measure between Multi-Field Data using Multi-Resolution Reeb Spaces. - Pavlos Charalampidis, Alexandros G. Fragkiadakis:
When Distributed Ledger Technology meets Internet of Things - Benefits and Challenges. - Waheeda Saib, David Sengeh, Gcininwe Dlamini, Elvira Singh:
Hierarchical Deep Learning Ensemble to Automate the Classification of Breast Cancer Pathology Reports by ICD-O Topography. - Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows. - Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis:
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization. - Andrea Madotto, Zhaojiang Lin, Yejin Bang, Pascale Fung:
The Adapter-Bot: All-In-One Controllable Conversational Model. - Mahsa Ghanavatinasab, Mastaneh Bahmani, Reza Azmi:
SAF: Simulated Annealing Fair Scheduling for Hadoop Yarn Clusters. - Michael Feischl, Andrea Scaglioni:
Convergence of adaptive stochastic collocation with finite elements. - Nick Webster, Marco Servetto:
Smoothly Navigating between Functional Reactive Programming and Actors. - Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, Xavier Alameda-Pineda:
Dynamical Variational Autoencoders: A Comprehensive Review. - Rafal Madonski, Krzysztof Lakomy, Momir R. Stankovic, Sally Shao, Jun Yang, Shihua Li:
Robust converter-fed motor control based on active rejection of multiple disturbances. - Shaoshuai Shi, Chaoxu Guo, Jihan Yang, Hongsheng Li:
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges. - Amirreza Mahbod, Philipp Tschandl, Georg Langs, Rupert Ecker, Isabella Ellinger:
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification. - Alzayat Saleh, Issam H. Laradji, Dmitry A. Konovalov, Michael Bradley, David Vázquez, Marcus Sheaves:
A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis. - Niyazi Ulas Dinç, Demetri Psaltis, Daniel Brunner:
Optical Neural Networks: The 3D connection. - Yurui Ren, Ge Li, Shan Liu, Thomas H. Li:
Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation. - Jorge Peña Queralta, Jussi Taipalmaa, Bilge Can Pullinen, Victor Kathan Sarker, Tuan Nguyen Gia, Hannu Tenhunen, Moncef Gabbouj, Jenni Raitoharju, Tomi Westerlund:
Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception. - Kiara Grouwstra:
Type-driven Neural Programming by Example. - Lance Eliot:
An Impact Model of AI on the Principles of Justice: Encompassing the Autonomous Levels of AI Legal Reasoning. - Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu:
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection. - Michael V. Klibanov, Alexey V. Smirnov, Vo Anh Khoa, Anders J. Sullivan, Lam H. Nguyen:
Through-the-Wall Nonlinear SAR Imaging. - Smitha Milli, Luca Belli, Moritz Hardt:
From Optimizing Engagement to Measuring Value. - Hansenclever F. Bassani, Renie A. Delgado, José Nilton de O. Lima Junior, Heitor R. Medeiros, Pedro H. M. Braga, Mateus G. Machado, Lucas H. C. Santos, Alain Tapp:
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer. - Martin Hoefer, Pasin Manurangsi, Alexandros Psomas:
Algorithmic Persuasion with Evidence. - Alireza Soroudi, Soheil Jafari:
Power to Air-transportation via Hydrogen. - Kai Jiang, Wei Si:
High-order energy stable schemes of incommensurate phase-field crystal model. - Saber M. Elsayed, Hemant K. Singh, Essam Soliman Debie, Anthony Perry, Benjamin Campbell, Robert A. Hunjet, Hussein A. Abbass:
Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution. - Maan Qraitem, Dhanushka Kularatne, Eric Forgoston, M. Ani Hsieh:
Bridging the Gap: Machine Learning to Resolve Improperly Modeled Dynamics. - Awnon Bhowmik, Unnikrishnan Menon:
Dragon Crypto - An Innovative Cryptosystem. - Yun Peng, Byron Choi, Jianliang Xu:
Graph Embedding for Combinatorial Optimization: A Survey. - Yiren Lu, Jonathan Tompson:
ADAIL: Adaptive Adversarial Imitation Learning. - Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson:
Active learning of deep surrogates for PDEs: Application to metasurface design. - Peter Meer:
Are Deep Neural Networks "Robust"? - Daryl Peralta, Joel Casimiro, Aldrin Michael Nilles, Justine Aletta Aguilar, Rowel Atienza, Rhandley Cajote:
Next-Best View Policy for 3D Reconstruction. - Danila Piatov, Sven Helmer, Anton Dignös, Fabio Persia:
Cache-Efficient Sweeping-Based Interval Joins for Extended Allen Relation Predicates (Extended Version). - Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas:
Data-driven control on encrypted data. - Frank Emmert-Streib:
From the digital data revolution to digital health and digital economy toward a digital society: Pervasiveness of Artificial Intelligence. - Anoop Sathyan, Kelly Cohen, Ou Ma:
Comparison Between Genetic Fuzzy Methodology and Q-learning for Collaborative Control Design. - Weidong Yin, Ziwei Liu, Leonid Sigal:
Person-in-Context Synthesiswith Compositional Structural Space. - Yang Chen, Nami Ashizawa, Seanglidet Yean, Chai Kiat Yeo, Naoto Yanai:
Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion Detection. - Oguzhan Cebe, Carlo Tiseo, Guiyang Xin, Hsiu-Chin Lin, Joshua Smith, Michael N. Mistry:
Online Dynamic Trajectory Optimization and Control for a Quadruped Robot. - Evelyn Heylen, Goran Strbac, Fei Teng:
Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems. - Trevor A. McInroe:
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back. - Siliang Tang, Qi Zhang, Tianpeng Zheng, Mengdi Zhou, Zhan Chen, Lixing Shen, Xiang Ren, Yueting Zhuang, Shiliang Pu, Fei Wu:
Two Step Joint Model for Drug Drug Interaction Extraction. - Francisco Maturana, K. V. Rashmi:
Bandwidth Cost of Code Conversions in Distributed Storage: Fundamental Limits and Optimal Constructions. - Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass:
Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance. - David Novotný, Roman Shapovalov, Andrea Vedaldi:
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction. - Kentaro Shibata, Eita Nakamura, Kazuyoshi Yoshii:
Non-Local Musical Statistics as Guides for Audio-to-Score Piano Transcription. - Nicholas Smith, Lindsey Gray, Matteo Cremonesi, Bo Jayatilaka, Oliver Gutsche, Allison Hall, Kevin Pedro, Maria Acosta Flechas, Andrew Melo, Stefano Belforte, Jim Pivarski:
Coffea - Columnar Object Framework For Effective Analysis. - Baltasar Trancón y Widemann, Markus Lepper:
Practical Idiomatic Considerations for Checkable Meta-Logic in Experimental Functional Programming. - Ece Çigdem Mutlu, Amirarsalan Rajabi, Ivan Garibay:
CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter. - Antonio Zea, Uwe D. Hanebeck:
iviz: A ROS Visualization App for Mobile Devices. - Yunbum Kook, Jihoon Ko, Kijung Shin:
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. - Donald R. Honeycutt, Mahsan Nourani, Eric D. Ragan:
Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy. - Shalini Pandey, Jaideep Srivastava:
RKT : Relation-Aware Self-Attention for Knowledge Tracing. - Ronald Denaux, José Manuél Gómez-Pérez:
Linked Credibility Reviews for Explainable Misinformation Detection. - Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen:
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. - Alexandra Lee, Daniel Archambault, Miguel A. Nacenta:
The Effectiveness of Interactive Visualization Techniques for Time Navigation of Dynamic Graphs on Large Displays. - Oliver Westphal:
A Framework for Generating Diverse Haskell-IO Exercise Tasks. - Mazen Ali, Stefan A. Funken, Anja Schmidt:
H1-Stability of the L2-Projection onto Finite Element Spaces on Adaptively Refined Quadrilateral Meshes. - Luca Weihs, Jordi Salvador, Klemen Kotar, Unnat Jain, Kuo-Hao Zeng, Roozbeh Mottaghi, Aniruddha Kembhavi:
AllenAct: A Framework for Embodied AI Research. - Ju Fan, Tongyu Liu, Guoliang Li, Junyou Chen, Yuwei Shen, Xiaoyong Du:
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration. - Tanwi Mallick, Mariam Kiran, Bashir Mohammed, Prasanna Balaprakash:
Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks. - Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson:
On the model-based stochastic value gradient for continuous reinforcement learning. - Yujia Jin, Aaron Sidford:
Efficiently Solving MDPs with Stochastic Mirror Descent. - Martin Fajcik, Josef Jon, Santosh Kesiraju, Pavel Smrz:
Rethinking the objectives of extractive question answering. - Jerin Yasmin, Yuan Tian, Jinqiu Yang:
A First Look at the Deprecation of RESTful APIs: An Empirical Study. - Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji:
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. - Abigail Brauer, Megan Krawick, Manuel Santana:
Numerical Analysis of the 1-D Parabolic Optimal Transport Problem. - Niki Efthymiou, Panagiotis Paraskevas Filntisis, Petros Koutras, Antigoni Tsiami, Jack Hadfield, Gerasimos Potamianos, Petros Maragos:
ChildBot: Multi-Robot Perception and Interaction with Children. - Jashwant Raj Gunasekaran, Prashanth Thinakaran, Nachiappan Chidambaram Nachiappan, Mahmut T. Kandemir, Chita R. Das:
Fifer: Tackling Underutilization in the Serverless Era. - Malte Brunn, Naveen Himthani, George Biros, Miriam Mehl, Andreas Mang:
Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems. - Salman Salamatian, Wasim Huleihel, Ahmad Beirami, Asaf Cohen, Muriel Médard:
Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing with Side-Information. - Jay Mardia:
Is the space complexity of planted clique recovery the same as that of detection? - Ge Zhang, Mike A. Merrill, Yang Liu, Jeffrey Heer, Tim Althoff:
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis. - Ryan J. Urbanowicz, Pranshu Suri, Yuhan Cui, Jason H. Moore, Karen Ruth, Rachael Stolzenberg-Solomon, Shannon M. Lynch:
A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments. - Ronak Gupta, Prerana Mukherjee, Brejesh Lall, Varshul Gupta:
Semantics Preserving Hierarchy based Retrieval of Indian heritage monuments. - Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun:
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning. - Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman:
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. - Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam:
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. - Jim Stright, Peter Cheetham, Charalambos Konstantinou:
Defensive Cost-Benefit Analysis of Smart Grid Digital Functionalities. - Mahbubur Rahman:
Low-Power Wide-Area Network Design. - Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas:
Formal methods for aN Iterated volunteer's dilemma. - S. E. H. M. van Bree, Ondrej Rokos, Ron H. J. Peerlings, Martin Doskár, Marc G. D. Geers:
A Newton Solver for Micromorphic Computational Homogenization Enabling Multiscale Buckling Analysis of Pattern-Transforming Metamaterials. - Anh Tuan Nguyen:
TATL at W-NUT 2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets. - Ali Rostami, Vaibhav Pandey, Nitish Nag, Vesper Wang, Ramesh C. Jain:
Personal Food Model. - Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy:
Real-world Video Adaptation with Reinforcement Learning. - Olugbenga Moses Anubi, Charalambos Konstantinou, Carlos A. Wong, Satish Vedula:
Multi-Model Resilient Observer under False Data Injection Attacks. - Gagik Gavalian, Polykarpos Thomadakis, Angelos Angelopoulos, Veronique Ziegler, Nikos Chrisochoides:
Using Artificial Intelligence for Particle Track Identification in CLAS12 Detector. - Alexis Montoison, Dominique Orban:
TriCG and TriMR: Two Iterative Methods for Symmetric Quasi-Definite Systems. - Shuai Liu, Sheeraz Athar, Michael Yu Wang:
Vacuum Driven Auxetic Switching Structure and Its Application on a Gripper and Quadruped. - Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian:
Background Splitting: Finding Rare Classes in a Sea of Background. - Marcos Netto, Yoshihiko Susuki, Venkat Krishnan, Yingchen Zhang:
On analytical construction of observable functions in extended dynamic mode decomposition for nonlinear estimation and prediction. - Raúl Arrabales:
Perla: A Conversational Agent for Depression Screening in Digital Ecosystems. Design, Implementation and Validation. - Yu Guan, Shuyu Dong, Pierre-Antoine Absil, François Glineur:
Alternating minimization algorithms for graph regularized tensor completion. - Hai Wang:
Knowledge Efficient Deep Learning for Natural Language Processing. - Hugo Latapie, Özkan Kiliç:
A Metamodel and Framework for AGI. - Leandro Marcio Bertholdo, João M. Ceron, Wouter B. de Vries, Ricardo de Oliveira Schmidt, Lisandro Zambenedetti Granville, Roland van Rijswijk-Deij, Aiko Pras:
Tangled: A Cooperative Anycast Testbed. - Josimar E. Chire Saire:
New feature for Complex Network based on Ant Colony Optimization for High Level Classification. - Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj:
Self-Organized Operational Neural Networks for Severe Image Restoration Problems. - Sharmin Akter, Mohammad Shahriar Rahman, Nafees Mansoor:
An Efficient Routing Protocol for Secured Communication in Cognitive Radio Sensor Networks. - Hossein Soleimani, Oleg V. Michailovich:
On segmentation of pectoralis muscle in digital mammograms by means of deep learning. - Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala:
Batching and Matching for Food Delivery in Dynamic Road Networks. - Athanasios N. Nikolakopoulos:
Random Surfing Revisited: Generalizing PageRank's Teleportation Model. - Linxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, Chongyang Tao:
Zero-Resource Knowledge-Grounded Dialogue Generation. - Keran Ye, Gustavo J. Correa, Tom Guda, Hanzhe Teng, Anandasankar Ray, Konstantinos Karydis:
Development and Testing of a Novel Automated Insect Capture Module for Sample Collection and Transfer. - Seok-Ju Hahn, Junghye Lee:
GRAFFL: Gradient-free Federated Learning of a Bayesian Generative Model. - Peter Kandolf, Antti Koskela, Samuel D. Relton, Marcel Schweitzer:
Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods. - Klaus Jansen, Kim-Manuel Klein, Alexandra Lassota:
The Double Exponential Runtime is Tight for 2-Stage Stochastic ILPs. - Itzel Vázquez Sandoval, Gabriele Lenzini:
A Formal Security Analysis of the pEp Authentication Protocol for Decentralized Key Distribution and End-to-End Encrypted Email. - I-Chao Shen, Kuan-Hung Liu, Li-Wen Su, Yu-Ting Wu, Bing-Yu Chen:
ClipFlip : Multi-view Clipart Design. - Shaghayegh Roohi, Asko Relas, Jari Takatalo, Henri Heiskanen, Perttu Hämäläinen:
Predicting Game Difficulty and Churn Without Players. - Kagan Incetan, Ibrahim Omer Celik, Abdulhamid Obeid, Guliz Irem Gokceler, Kutsev Bengisu Ozyoruk, Yasin Almalioglu, Richard J. Chen, Faisal Mahmood, Hunter Gilbert, Nicholas J. Durr, Mehmet Turan:
VR-Caps: A Virtual Environment for Capsule Endoscopy. - Geesara Kulathunga, Dmitry Devitt, Roman Fedorenko, Sergei Savin, Alexandr Klimchik:
Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial Vehicles (MAVs). - Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann:
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More. - Lin Lei, Yuli Sun, Gangyao Kuang:
Adaptive Local Structure Consistency based Heterogeneous Remote Sensing Change Detection. - Mohammadreza Salehi, Ainaz Eftekhar, Niousha Sadjadi, Mohammad Hossein Rohban, Hamid R. Rabiee:
Puzzle-AE: Novelty Detection in Images through Solving Puzzles. - Bo Liu, Qiulei Dong, Zhanyi Hu:
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature. - Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert:
Patch-based Brain Age Estimation from MR Images. - Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard:
Driving Through Ghosts: Behavioral Cloning with False Positives. - Kuangen Zhang, Jongwoo Lee, Zhimin Hou, Clarence W. de Silva, Chenglong Fu, Neville Hogan:
How does the structure embedded in learning policy affect learning quadruped locomotion? - Martina Bukac, Anyastassia Seboldt, Catalin Trenchea:
Refactorization of Cauchy's method: a second-order partitioned method for fluid-thick structure interaction problems. - Xuewei Feng, Chuanpu Fu, Qi Li, Kun Sun, Ke Xu:
Off-Path TCP Exploits of the Mixed IPID Assignment. - Mohammadhossein Ghahramani, Yan Qiao, MengChu Zhou, Adrian O'Hagan, James Sweeney:
AI-based Modeling and Data-driven Evaluation for Smart Manufacturing Processes. - Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Efficient Computation of Expectations under Spanning Tree Distributions. - Mohammadhossein Ghahramani, MengChu Zhou, Gang Wang:
Urban Sensing based on Mobile Phone Data: Approaches, Applications and Challenges. - Akash Roy:
AKHCRNet: Bengali Handwritten Character Recognition Using Deep Learning. - Pengfei Xia, Bin Li:
Improving Resistance to Adversarial Deformations by Regularizing Gradients. - Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu:
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity. - Bakheet Aljedaani, Aakash Ahmad, Mansooreh Zahedi, Muhammad Ali Babar:
Security Awareness of End-Users of Mobile Health Applications: An Empirical Study. - Gangeshwar Krishnamurthy, Raj Kumar Gupta, Yinping Yang:
SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda using Sentence-Level Emotional Salience Features. - Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin:
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. - Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei:
Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking. - Linda Brodo, Roberto Bruni, Moreno Falaschi:
SOS Rules for Equivalences of Reaction Systems. - Sehrish Iqbal, Saeed-Ul Hassan, Naif Radi Aljohani, Salem Alelyani, Raheel Nawaz, Lutz Bornmann:
A Decade of In-text Citation Analysis based on Natural Language Processing and Machine Learning Techniques: An overview of empirical studies. - Saeed-Ul Hassan, Naif Radi Aljohani, Usman Iqbal Tarar, Iqra Safder, Raheem Sarwar, Salem Alelyani, Raheel Nawaz:
Exploiting Tweet Sentiments in Altmetrics Large-Scale Data. - Hao Tang, Song Bai, Nicu Sebe:
Dual Attention GANs for Semantic Image Synthesis. - Guizhen Wang, Jingjing Guo, Mingjie Tang, José Florencio de Queiroz Neto, Calvin Yau, Anas Daghistani, Morteza Karimzadeh, Walid G. Aref, David S. Ebert:
STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data. - Vladimir N. Temlyakov:
A remark on entropy numbers. - Ali Tavasoli, Ehsan Ardjmand, Heman Shakeri:
Maximizing the algebraic connectivity in multilayer networks with arbitrary interconnections. - Daniel Klug:
"It took me almost 30 minutes to practice this". Performance and Production Practices in Dance Challenge Videos on TikTok. - Zongyuan Shen, James P. Wilson, Shalabh Gupta:
ε*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles. - Stephen Chung, Robert Kozma:
Reinforcement Learning with Feedback-modulated TD-STDP. - James P. Wilson, Zongyuan Shen, Shalabh Gupta, Thomas A. Wettergren:
T*-Lite: A Fast Time-Risk Optimal Motion Planning Algorithm for Multi-Speed Autonomous Vehicles. - Odyssée Merveille, Thomas Andrew Lampert, Jessica Schmitz, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images. - Aman Tyagi, Joshua Uyheng, Kathleen M. Carley:
Affective Polarization in Online Climate Change Discourse on Twitter. - Aman Tyagi, Matthew Babcock, Kathleen M. Carley, Douglas C. Sicker:
Polarizing Tweets on Climate Change. - Po-Ming Law, Alex Endert, John T. Stasko:
What are Data Insights to Professional Visualization Users? - Sheng Lei, Alexander J. Flueck:
Initialization Process of a Power System Transient Simulation Scheme for Stability Studies. - Po-Ming Law, Alex Endert, John T. Stasko:
Characterizing Automated Data Insights. - Lucas V. R. Alves, Patrícia Nascimento Pena:
Secure Recovery Procedure for Manufacturing Systems using Synchronizing Automata and Supervisory Control Theory. - Md. Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali, Mohammad Amin Alipour:
Towards Demystifying Dimensions of Source Code Embeddings. - Kaiyang Li, Guangchun Luo, Yang Ye, Wei Li, Shihao Ji, Zhipeng Cai:
Adversarial Privacy Preserving Graph Embedding against Inference Attack. - Tiffany Fan, Kailai Xu, Jay Pathak, Eric Darve:
Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks. - Maiara F. Bollauf, Vinay A. Vaishampayan, Sueli I. R. Costa:
On Communication for Distributed Babai Point Computation. - Xi-Yuan Yin, Linan Chen, Jean-Christophe Nave:
A diffusion-driven Characteristic Mapping method for particle management. - Qiang Ge, Qi Sun, Zhen Wang, Shengbo Eben Li, Ziqing Gu, Sifa Zheng:
Centralized Coordination of Connected Vehicles at Intersections using Graphical Mixed Integer Optimization. - Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He:
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. - Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto:
Transfer Learning-based Road Damage Detection for Multiple Countries. - Hridoy Sankar Dutta, Tanmoy Chakraborty:
Blackmarket-driven Collusion on Online Media: A Survey. - Attique Ur Rehman, Ali Nawaz, Muhammad Abbas:
Agile Methods: Testing Challenges, Solutions & Tool Support. - Attique Ur Rehman, Ali Nawaz, Muhammad Abbas:
Role of Project Management in Virtual Teams Success. - Ali Nawaz, Attique Ur Rehman, Wasi Haider Butt:
A Survey of Requirement Engineering Process in Android Application Development. - Ali Nawaz, Attique Ur Rehman, Muhammad Abbas:
A Novel Multiple Ensemble Learning Models Based on Different Datasets for Software Defect Prediction. - Michael J. Maher:
Corruption and Audit in Strategic Argumentation. - Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta:
Analysis, Modeling, and Representation of COVID-19 Spread: A Case Study on India. - Ali Nawaz, Attique Ur Rehman:
Vehicle Route Prediction through Multiple Sensors Data Fusion. - Tom Tabak, Matthew Purver:
Temporal Mental Health Dynamics on Social Media. - Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Adversarial Learning for Counterfactual Fairness. - Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang:
Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond. - Tomás Alves, Bárbara Ramalho, Joana Henriques-Calado, Daniel Gonçalves, Sandra Gama:
Exploring How Personality Models Information Visualization Preferences. - Hyunsung Lee, Yeongjae Jang, Jaekwang Kim, Honguk Woo:
A Differentiable Ranking Metric Using Relaxed Sorting Opeartion for Top-K Recommender Systems. - John W. Lawson:
Performance portability through machine learning guided kernel selection in SYCL libraries. - Arvind W. Kiwelekar, Geetanjali S. Mahamunkar, Laxman D. Netak, Valmik B. Nikam:
Deep Learning Techniques for Geospatial Data Analysis. - María Virginia Sabando, Pavol Ulbrich, Matias Nicolás Selzer, Jan Byska, Jan Mican, Ignacio Ponzoni, Axel J. Soto, Maria Luján Ganuza, Barbora Kozlíková:
ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening. - Milan Lopuhaä-Zwakenberg, Haochen Tong, Boris Skoric:
Data Sanitisation Protocols for the Privacy Funnel with Differential Privacy Guarantees. - Rabab Alkhalifa, Theodore Yoong, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata:
QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions. - Wojciech Kretowicz, Przemyslaw Biecek:
MementoML: Performance of selected machine learning algorithm configurations on OpenML100 datasets. - Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi:
Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) based on a Multi Agent Simulation. - Xiaozhou Li:
How to Design A Generic Accuracy-Enhancing Filter for Discontinuous Galerkin Methods. - Somnath Banerjee, Sahar Ghannay, Sophie Rosset, Anne Vilnat, Paolo Rosso:
LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis. - Vipul Nair, Paul Hemeren, Alessia Vignolo, Nicoletta Noceti, Elena Nicora, Alessandra Sciutti, Francesco Rea, Erik Billing, Francesca Odone, Giulio Sandini:
Action similarity judgment based on kinematic primitives. - Yanan Sun, Xian Sun, Yuhan Fang, Gary G. Yen:
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms. - Xiongwei Wu, Xiuhua Li, Jun Li, P. C. Ching, Victor C. M. Leung, H. Vincent Poor:
Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic. - Yue Fan, Shilei Chu, Wei Zhang, Ran Song, Yibin Li:
Learn by Observation: Imitation Learning for Drone Patrolling from Videos of A Human Navigator. - Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu:
Finding Action Tubes with a Sparse-to-Dense Framework. - Pawel Gawrychowski, Tomasz Kociumaka, Wojciech Rytter, Tomasz Walen:
Tight Bound for the Number of Distinct Palindromes in a Tree. - Dimosthenis Pasadakis, Christie Louis Alappat, Olaf Schenk, Gerhard Wellein:
K-way p-spectral clustering on Grassmann manifolds. - Christopher Neal, Hanane Dagdougui, Andrea Lodi, José M. Fernandez:
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm. - Vinicius G. Goecks:
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems. - Oren Spector, Miriam Zacksenhouse:
Deep Reinforcement Learning for Contact-Rich Skills Using Compliant Movement Primitives. - Tharun Medini, Beidi Chen, Anshumali Shrivastava:
SOLAR: Sparse Orthogonal Learned and Random Embeddings. - Samad Zabihi, Hamed Rezazadegan Tavakoli, Ali Borji:
A Compact Deep Architecture for Real-time Saliency Prediction. - Benjamin Moseley, Yuyan Wang:
An Objective for Hierarchical Clustering in Euclidean Space and its Connection to Bisecting K-means. - Vanderson Martins do Rosario, Raphael Moreira Zinsly, Sandro Rigo, Edson Borin:
Employing Simulation to Facilitate the Design of Dynamic Code Generators. - Jean-Marc Schlenker:
The prestige and status of research fields within mathematics. - Karn Dubey, Urja Kothari, Shrisha Rao:
Floating-Point Multiplication Using Neuromorphic Computing. - Edgar Galván, Oxana Gorshkova, Peter Mooney, Fred Valdez Ameneyro, Erik Cuevas:
Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing. - Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison:
Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression. - Mohammed Alsuwaiket, Anas H. Blasi, Ra'Fat Al-Msie'deen:
Formulating Module Assessment for Improved Academic Performance Predictability in Higher Education. - Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Benchmarking adversarial attacks and defenses for time-series data. - Aysien Ivanov, Daria Trinitatova, Dzmitry Tsetserukou:
LinkRing: A Wearable Haptic Display for Delivering Multi-contact and Multi-modal Stimuli at the Finger Pads. - (Withdrawn) A Meta-Learning Control Algorithm with Provable Finite-Time Guarantees.
- Holger Boche, Rafael F. Schaefer, H. Vincent Poor:
Shannon Meets Turing: Non-Computability and Non-Approximability of the Finite State Channel Capacity. - Dominik Peters, Grzegorz Pierczynski, Piotr Skowron:
Proportional Participatory Budgeting with Cardinal Utilities. - Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré:
On a plausible concept-wise multipreference semantics and its relations with self-organising maps. - Makbule Gulcin Ozsoy:
Beyond Next Item Recommendation: Recommending and Evaluating List of Sequences. - Weichen Li, Xiaojia Shelly Zhang:
Momentum-based Accelerated Mirror Descent Stochastic Approximation for Robust Topology Optimization under Stochastic Loads. - Zafar Ahmad, Rezaul Chowdhury, Rathish Das, Pramod Ganapathi, Aaron Gregory, Mohammad Mahdi Javanmard:
Low-Depth Parallel Algorithms for the Binary-Forking Model without Atomics. - Akshay Balsubramani:
Sharp finite-sample large deviation bounds for independent variables. - Shalisha Witherspoon, Dean Steuer, Graham A. Bent, Nirmit Desai:
SEEC: Semantic Vector Federation across Edge Computing Environments. - Michael Luby:
SOPI design and analysis for LDN. - Zhijian Li, Bao Wang, Jack Xin:
An Integrated Approach to Produce Robust Models with High Efficiency. - Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban:
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. - Minxian Xu, Adel Nadjaran Toosi, Rajkumar Buyya:
A Self-adaptive Approach for Managing Applications and Harnessing Renewable Energy for Sustainable Cloud Computing. - Felipe Lepe, Gonzalo Rivera:
A priori error analysis for a mixed VEM discretization of the spectral problem for the Laplacian operator. - Daniel Perille, Abigail Truong, Xuesu Xiao, Peter Stone:
Benchmarking Metric Ground Navigation. - Sang-Yoon Chang:
Share Withholding Attack in Blockchain Mining: Technical Report. - Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang:
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL. - Fabio Miranda, Maryam Hosseini, Marcos Lage, Harish Doraiswamy, Graham Dove, Cláudio T. Silva:
Urban Mosaic: Visual Exploration of Streetscapes Using Large-Scale Image Data. - Weinan E, Jiequn Han, Arnulf Jentzen:
Algorithms for Solving High Dimensional PDEs: From Nonlinear Monte Carlo to Machine Learning. - Thanh Tran, Di You, Kyumin Lee:
Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation. - Ali Borji:
Shape Defense. - Xukun Luo, Weijie Liu, Meng Ma, Ping Wang:
BiTT: Bidirectional Tree Tagging for Joint Extraction of Overlapping Entities and Relations. - Yuhang Li, Xuejin Chen, Binxin Yang, Zihan Chen, Zhihua Cheng, Zheng-Jun Zha:
DeepFacePencil: Creating Face Images from Freehand Sketches. - Lingxiao Zhang, Jiangpeng Yan, Yujiu Yang, Xiu Li:
Match4Rec: A Novel Recommendation Algorithm Based on Bidirectional Encoder Representation with Matching Task. - Ouyang Junjie, Naoto Yanai, Tatsuya Takemura, Masayuki Okada, Shingo Okamura, Jason Paul Cruz:
APVAS: Reducing Memory Size of AS_PATH Validation by Using Aggregate Signatures. - Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell:
Discovering Bilingual Lexicons in Polyglot Word Embeddings. - Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Hui Xiong, Jian Yang:
Learning Adaptive Embedding Considering Incremental Class. - Bas Luttik:
Divergence-Preserving Branching Bisimilarity. 3-11 - Mark Bouwman, Bas Luttik, Wouter Schols, Tim A. C. Willemse:
A process algebra with global variables. 33-50 - Rob van Glabbeek:
Reactive Temporal Logic. 51-68 - Ryan Kavanagh:
Substructural Observed Communication Semantics. 69-87 - Manfred Schmidt-Schauß, David Sabel:
Correctly Implementing Synchronous Message Passing in the Pi-Calculus By Concurrent Haskell's MVars. 88-105 - Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang:
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. - Mrigank Rochan, Mahesh Kumar Krishna Reddy, Yang Wang:
Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation. - Harsh Mehta, Ashok Cutkosky, Behnam Neyshabur:
Extreme Memorization via Scale of Initialization. - Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf:
VarifocalNet: An IoU-aware Dense Object Detector. - Hai-Tao Yu:
PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank. - Leena Mathur, Maja J. Mataric:
Introducing Representations of Facial Affect in Automated Multimodal Deception Detection. - Hai-Tao Yu:
Optimize What You Evaluate With: A Simple Yet Effective Framework For Direct Optimization Of IR Metrics. - Arturs Backurs, Avrim Blum, Neha Gupta:
Active Local Learning. - Zahra Anvari, Vassilis Athitsos:
Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze. - Ziran Wang, Kyungtae Han, Prashant Tiwari:
Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles. - Reza Khalilisenobari, Meng Wu:
Impact of Battery Degradation on Market Participation of Utility-Scale Batteries: Case Studies. - Jose Capco, Mohab Safey El Din, Josef Schicho:
Robots, computer algebra and eight connected components. - Xiaofeng Zheng, Ruohan Cao:
Uplink Channel Estimation and Signal Extraction Against Malicious Intelligent Reflecting Surface in Massive MIMO System. - Stella Mikrou, Anastasios Papagiannis, Giorgos Saloustros, Manolis Marazakis, Angelos Bilas:
Power and Performance Analysis of Persistent Key-Value Stores. - Travis Greene, Galit Shmueli:
Beyond Our Behavior: The GDPR and Humanistic Personalization. - Seyedmostafa Safavi, Zarina Shukur:
CenterYou: A cloud-based Approach to Simplify Android Privacy Management. - Bin Hu, Zongyang Zhang, Jianwei Liu, Yizhong Liu, Jiayuan Yin, Rongxing Lu, Xiaodong Lin:
A Comprehensive Survey on Smart Contract Construction and Execution: Paradigms, Tools and Systems. - Linh Kästner, Leon Eversberg, Marina Mursa, Jens Lambrecht:
Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks. - Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Wei Liu, Yunhui Liu:
Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics. - Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured Graph Learning for Clustering and Semi-supervised Classification. - Oriol Arcas-Abella, Abhinav Agarwal:
Architectural Analysis of FPGA Technology Impact. - Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. - Alireza Abdoli, Sedigheh Farhadtoosky, Ali Jahanian:
Low-Cost Performance-Efficient Field-Programmable Pin-Constrained Digital Microfluidic Biochip. - Hao Guo, Behrooz Makki, Tommy Svensson:
Predictor Antennas for Moving Relays: Finite Block-length Analysis. - Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
Matrix Profile Goes MAD: Variable-Length Motif And Discord Discovery in Data Series. - Guanshuo Wang, Yufeng Yuan, Jiwei Li, Shiming Ge, Xi Zhou:
Receptive Multi-granularity Representation for Person Re-Identification. - Yordanos Tibebu Woldeyohannes, Besmir Tola, Yuming Jiang, K. K. Ramakrishnan:
CoShare: An Efficient Approach for Redundancy Allocation in NFV. - Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif:
Complex-valued embeddings of generic proximity data. - Seif Haridi, Lars Kroll, Paris Carbone:
Lecture Notes on Leader-based Sequence Paxos - An Understandable Sequence Consensus Algorithm. - Jan C. Dageförde, Herbert Kuchen:
Constraint-Logic Object-Oriented Programming with Free Arrays. - Gianira N. Alfarano, Julia Lieb, Joachim Rosenthal:
Construction of LDPC convolutional codes via difference triangle sets. - Anna Boschi, Francesco Salvetti, Vittorio Mazzia, Marcello Chiaberge:
A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge. - Samaneh Jozashoori, David Chaves-Fraga, Enrique Iglesias, Maria-Esther Vidal, Óscar Corcho:
FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation. - Filipe Gama, Maksym Shcherban, Matthias Rolf, Matej Hoffmann:
Active exploration for body model learning through self-touch on a humanoid robot with artificial skin. - Andrea Valenti, Michele Barsotti, Raffaello Brondi, Davide Bacciu, Luca Ascari:
ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs. - Ke Li, Zilin Xiang, Tao Chen, Kay Chen Tan:
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. - Michael A. Henning, Arti Pandey, Vikash Tripathi:
Semipaired Domination in Some Subclasses of Chordal Graphs. - Binbin Xu, Andrew J. Davison, Stefan Leutenegger:
Deep Probabilistic Feature-metric Tracking. - Zihao Mu, Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Yan-Ran Li, Shiqi Yu:
iLGaCo: Incremental Learning of Gait Covariate Factors. - Md Ashfaqur Rahman:
Torrit: A GUI-Based Power System Simulation Platform. - Michael H. Fischer, Giovanni Campagna, Euirim Choi, Monica S. Lam:
Multi-Modal End-User Programming of Web-Based Virtual Assistant Skills. - Aleksei Pupyshev, Elshan Dzhafarov, Ilya Sapranidi, Inal Kardanov, Shamil Khalilov, Sten Laureyssens:
SuSy: a blockchain-agnostic cross-chain asset transfer gateway protocol based on Gravity. - Dilruk Perera, Roger Zimmermann:
Towards Comprehensive Recommender Systems: Time-Aware UnifiedcRecommendations Based on Listwise Ranking of Implicit Cross-Network Data. - Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates:
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. - Nuriel S. Mor, Kathryn L. Dardeck:
Applying Deep Learning to Specific Learning Disorder Screening. - Sami Khenissi, Mariem Boujelbene, Olfa Nasraoui:
Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System. - Zhimeng Pan, Wenzheng Tao, Qingyao Ai:
Review Regularized Neural Collaborative Filtering. - Scott Graham, Jun-Ki Min, Tao Wu:
Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems. - Rohan Anand, Joeran Beel:
Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization. - Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Cliff Brunk, Andrew Tomkins:
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. - Min Fu, Jiwei Guan, James Xi Zheng, Jie Zhou, Jianchao Lu, Tianyi Zhang, Shoujie Zhuo, Lijun Zhan, Jian Yang:
ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses. - Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi:
DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems. - He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine:
Neural Sinkhorn Topic Model. - Xiaomei Bai, Mengyang Wang, Ivan Lee, Zhuo Yang, Xiangjie Kong, Feng Xia:
Scientific Paper Recommendation: A Survey. - Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu:
Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix. - Alexander Lebedev, Andrei Yu. Khrennikov:
Introductory review to quantum information retrieval. - Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson:
COVID-19 Kaggle Literature Organization. - Hamada M. Zahera, Rricha Jalota, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo:
I-AID: Identifying Actionable Information from Disaster-related Tweets. - Clara H. McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain:
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs. - Qiming Zhu, Zeliang Liu, Jinhui Yan:
Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks. - Anurag Sarkar, Seth Cooper:
Towards Game Design via Creative Machine Learning (GDCML). - Laksh Advani, Clement Lu, Suraj Maharjan:
C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text using Feature Engineering. - Frédérique E. Oggier, Gilles Zémor:
Coding Constructions for Efficient Oblivious Transfer from Noisy Channels. - Sven Gedicke, Annika Bonerath, Benjamin Niedermann, Jan-Henrik Haunert:
Zoomless Maps: External Labeling Methods for the Interactive Exploration of Dense Point Sets at a Fixed Map Scale. - Nina Körber, Lisa Bailey, Gordon Fraser, Barbara Sabitzer, Marina Rottenhofer:
An Experience of Introducing Primary School Children to Programming using Ozobots. - Suman Bhoi, Mong-Li Lee, Wynne Hsu:
PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records. - Steven Martin Turnbull, Dion R. J. O'Neale:
Entropy of Co-Enrolment Networks Reveal Disparities in High School STEM Participation. - Tushar M. Athawale, Bo Ma, Elham Sakhaee, Chris R. Johnson, Alireza Entezari:
Direct Volume Rendering with Nonparametric Models of Uncertainty. - Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran:
MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. - Mehdi Jokar, Sansit Patnaik, Fabio Semperlotti:
Variable-Order Approach to Nonlocal Elasticity: Theoretical Formulation and Order Identification via Deep Learning Techniques. - Isabelle Tingzon, Niccolo Dejito, Ren Avell Flores, Rodolfo De Guzman, Liliana Carvajal, Katerine Zapata Erazo, Ivan Enrique Contreras Cala, Jeffrey Villaveces, Daniela Rubio, Rayid Ghani:
Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis. - Adam Yonge, M. Ross Kunz, Rakesh Batchu, Zongtang Fang, Tobin Issac, Rebecca Fushimi, Andrew J. Medford:
TAPsolver: A Python package for the simulation and analysis of TAP reactor experiments. - Jacopo de Berardinis, Gabriella Pizzuto, Francesco Lanza, Antonio Chella, Jorge Meira, Angelo Cangelosi:
At Your Service: Coffee Beans Recommendation From a Robot Assistant. - Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo:
Biased Opinion Dynamics: When the Devil Is in the Details. - Malena Reiners, Kathrin Klamroth, Michael Stiglmayr:
Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach. - Gabriela Molina León, Michael Lischka, Andreas Breiter:
Mapping the Global South: Equal-Area Projections for Choropleth Maps. - Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay:
Classifier Combination Approach for Question Classification for Bengali Question Answering System. - Dionysis Manousakas, Cecilia Mascolo:
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers. - Cristina Borralleras, Daniel Larraz, Albert Oliveras, Enric Rodríguez-Carbonell, Albert Rubio:
Incomplete SMT Techniques for Solving Non-Linear Formulas over the Integers. - Martin Leinberger, Philipp Seifer, Tjitze Rienstra, Ralf Lämmel, Steffen Staab:
Deciding SHACL Shape Containment through Description Logics Reasoning (Extended Version). - Hadrien Pouget, Hana Chockler, Youcheng Sun, Daniel Kroening:
Ranking Policy Decisions. - Sourav Das, Anup Kumar Kolya:
Detecting Generic Music Features with Single Layer Feedforward Network using Unsupervised Hebbian Computation. - Claire Dross, Carlo A. Furia, Marieke Huisman, Rosemary Monahan, Peter Müller:
VerifyThis 2019: A Program Verification Competition (Extended Report). - Shreyas Kalvankar, Hrushikesh Pandit, Pranav Parwate:
Galaxy Morphology Classification using EfficientNet Architectures. - Sanchari Das, Andrew Kim, Sayar Karmakar:
Change-Point Analysis of Cyberbullying-Related Twitter Discussions During COVID-19. - Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek:
Learning All Credible Bayesian Network Structures for Model Averaging. - Chunzhi Gu, Xuequan Lu, Chao Zhang:
Continuous Color Transfer. - Anmol Kagrecha, Jayakrishnan Nair, Krishna P. Jagannathan:
Statistically Robust, Risk-Averse Best Arm Identification in Multi-Armed Bandits. - Xiu Ye, Shangyou Zhang:
A stabilizer free weak Galerkin finite element method on polytopal mesh: Part II. - Zakwan Jaroucheh, Mohamad Alissa, William J. Buchanan:
TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies. - Matthias Kaiser, Andrew Tzer-Yeu Chen, Peter D. Gluckman:
Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation. - Anthony Labarre:
Sorting by Prefix Block-Interchanges. - Ritu Yadav, Axel Vierling, Karsten Berns:
Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles. - Vikram Ramanathan:
Footstep Planning with Encoded Linear Temporal Logic Specifications. - Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
Machine Learning Clustering Techniques for Selective Mitigation of Critical Design Features. - Matthew A. Petroff:
A Square Equal-area Map Projection. - Ajaya Adhikari, Richard den Hollander, Ioannis Tolios, Michael van Bekkum, Anneloes Bal, Stijn Hendriks, Maarten Kruithof, Dennis Gross, Nils Jansen, Guillermo A. Pérez, Kit Buurman, Stephan Raaijmakers:
Adversarial Patch Camouflage against Aerial Detection. - Jussi Tohka, Mark J. van Gils:
Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial. - Sasha Spala, Nicholas A. Miller, Franck Dernoncourt, Carl Dockhorn:
SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpus. - Mustafa Hajij, Kyle Istvan:
Topology and Deep Learning. - Beixiong Zheng, Changsheng You, Rui Zhang:
Double-IRS Assisted Multi-User MIMO: Cooperative Passive Beamforming Design. - Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei:
Learning to Localize Actions from Moments. - Xiaoyong Yuan, Lei Ding, Malek Ben Salem, Xiaolin Li, Dapeng Wu:
Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks. - Eden Belouadah, Adrian Popescu, Ioannis Kanellos:
Initial Classifier Weights Replay for Memoryless Class Incremental Learning. - Aakriti Agrawal, V. S. Rajashekhar, Rohitkumar Arasanipalai, Debasish Ghose:
Control of a Nature-inspired Scorpion using Reinforcement Learning. - Lele Luan, Jingwei Zheng, Yongchao Yang, Ming L. Wang, Hao Sun:
Extracting full-field subpixel structural displacements from videos via deep learning. - Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai:
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. - Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Langevin Cooling for Domain Translation. - Spyros Angelopoulos:
Online Search With a Hint. - Maria Angelica Arroyo, Luis Felipe Giraldo:
Data-driven Outer-Loop Control Using Deep Reinforcement Learning for Trajectory Tracking. - Jingqiu Ding, Samuel B. Hopkins, David Steurer:
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks. - Maythem K. Abbas, Mohd Noh Karsiti, Madzlan Napiah, Brahim B. Samir, Marwan Al-Jemeli:
High Accuracy Traffic Light Controller for Increasing the Given Green Time Utilization. - Claus Kadelka, Benjamin Keilty, Reinhard C. Laubenbacher:
Collectively canalizing Boolean functions. - Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi, Cong Xie, Kevin A. Huck, Jong Youl Choi, Abid Malik, Li Tang, Hubertus Van Dam, Line Pouchard, Wei Xu, Shinjae Yoo, Nicholas D'Imperio, Kerstin Kleese van Dam:
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. - Sandeep Mishra, Oindrila Saha:
RecSal : Deep Recursive Supervision for Visual Saliency Prediction. - Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou, Qi Tian:
Reinforced Axial Refinement Network for Monocular 3D Object Detection. - Elaine Huynh, Angela Nyhout, Patricia Ganea, Fanny Chevalier:
Designing Narrative-Focused Role-Playing Games for Visualization Literacy in Young Children. - Gurkirt Singh:
Online Spatiotemporal Action Detection and Prediction via Causal Representations. - Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger:
Anomaly Detection by Recombining Gated Unsupervised Experts. - Wei Wang, Guozhu Meng, Haoyu Wang, Kai Chen, Weimin Ge, Xiaohong Li:
A3Ident: A Two-phased Approach to Identify the Leading Authors of Android Apps. - Shahid Nawaz Khan, Maitree Leekha, Jainendra Shukla, Rajiv Ratn Shah:
Vyaktitv: A Multimodal Peer-to-Peer Hindi Conversations based Dataset for Personality Assessment. - Shao-Chen Hsu, Vaishnav Tadiparthi, Raktim Bhattacharya:
A Lagrangian Method for Constrained Dynamics in Tensegrity Systems with Compressible Bars. - Wesley Chung, Valentin Thomas, Marlos C. Machado, Nicolas Le Roux:
Beyond variance reduction: Understanding the true impact of baselines on policy optimization. - Jyot R. Buch, Murat Arcak, Peter J. Seiler:
An Efficient Algorithm to Compute Norms for Finite Horizon, Linear Time-Varying Systems. - Menashe Benjamin, Guy Engelhard, Alex Aisen, Yinon Aradi, Elad Benjamin:
A Multisite, Report-Based, Centralized Infrastructure for Feedback and Monitoring of Radiology AI/ML Development and Clinical Deployment. - Ben Adlam, Jasper Snoek, Samuel L. Smith:
Cold Posteriors and Aleatoric Uncertainty. - Nadejda Drenska, Jeff Calder:
Online Prediction With History-Dependent Experts: The General Case. - Jacob Adamczyk:
Neural Network Degeneration and its Relationship to the Brain. - Max I. Kanovich, Stepan L. Kuznetsov, Andre Scedrov:
Language Models for Some Extensions of the Lambek Calculus. - Hu Hu, Sabato Marco Siniscalchi, Yannan Wang, Xue Bai, Jun Du, Chin-Hui Lee:
An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances. - Hu Hu, Sabato Marco Siniscalchi, Yannan Wang, Chin-Hui Lee:
Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification. - James Stokes, Javier Robledo Moreno, Eftychios A. Pnevmatikakis, Giuseppe Carleo:
Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states. - Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Rewa Sood, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Pejman Ghanouni, Nikola C. Teslovich, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu:
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis. - Mohammed Hamzah Abed, Lamia Abed Noor Muhammed, Sarah Hussein Toman:
Diabetic Retinopathy Diagnosis based on Convolutional Neural Network. - Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E:
DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory. - Guanghao Yin, Shouqian Sun, Chao Li, Xin Min:
Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation. - Aitor Arronte Alvarez, Francisco Gómez-Martin:
Singer Identification Using Convolutional Acoustic Motif Embeddings. - Jiawen Huang, Yun-Ning Hung, Ashis Pati, Siddharth Kumar Gururani, Alexander Lerch:
Score-informed Networks for Music Performance Assessment. - Hiroshi Fuketa, Yukinori Morita:
Neural ODE with Temporal Convolution and Time Delay Neural Networks for Small-Footprint Keyword Spotting. - Paulo José Fernandes Almeida, Diego Napp:
Superregular matrices over small finite fields. - Aneeqa Fatima, Igor L. Markov:
Faster Schrödinger-style simulation of quantum circuits. - Regev Cohen, Michael Elad, Peyman Milanfar:
Regularization by Denoising via Fixed-Point Projection (RED-PRO). - Ruicheng Feng, Weipeng Guan, Yu Qiao, Chao Dong:
Exploring Multi-Scale Feature Propagation and Communication for Image Super Resolution. - Rui Zhao, Xinjie Wang, Junjuan Xia, Liseng Fan:
Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things. - Zhiyu He, Jianping He, Cailian Chen, Xinping Guan:
Distributed Nonconvex Optimization: Oracle-free Iterations and Globally Optimal Solution. - Francesco Bardozzo, Pietro Liò, Roberto Tagliaferri:
Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks. - Yanxin Hu, Yun Liu, Shubo Lv, Mengtao Xing, Shimin Zhang, Yihui Fu, Jian Wu, Bihong Zhang, Lei Xie:
DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement. - Martin Balko, David Chodounský, Jan Hubicka, Matej Konecný, Lluís Vena:
Big Ramsey degrees of 3-uniform hypergraphs are finite. - Saurav Roy, Arkka Bhattacharyya, Sriram Krishnamoorthy:
Analytical Modeling and Design of Gallium Oxide Schottky Barrier Diodes Beyond Unipolar Figure of Merit Using High-k Dielectric Superjunction Structures. - Mine Çetinkaya-Rundel, Victoria Ellison:
A fresh look at introductory data science. - Abhisek Panda, Colin Benjamin:
Order from chaos in quantum walks on cyclic graphs. - Shashwat Shukla, Rohan Pathak, Vivek Saraswat, Udayan Ganguly:
Adaptive Chemotaxis for improved Contour Tracking using Spiking Neural Networks. - David R. Burt, Carl Edward Rasmussen, Mark van der Wilk:
Convergence of Sparse Variational Inference in Gaussian Processes Regression. - Themistoklis Botsas, Lachlan Robert Mason, Indranil Pan:
Rule-based Bayesian regression. - Christoph Günther, Daniel Günther:
Contact Classification in COVID-19 Tracing. - Kirill P. Kalinin, Natalia G. Berloff:
Complexity continuum within Ising formulation of NP problems. - Arkadiy Skopenkov:
Extendability of simplicial maps is undecidable. - Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song:
Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video. - Badr M. Abdullah, Tania Avgustinova, Bernd Möbius, Dietrich Klakow:
Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages. - Konrad K. Dabrowski, François Dross, Jisu Jeong, Mamadou Moustapha Kanté, O-joung Kwon, Sang-il Oum, Daniël Paulusma:
Tree pivot-minors and linear rank-width. - Georgios Arvanitidis, Søren Hauberg, Bernhard Schölkopf:
Geometrically Enriched Latent Spaces. - María Florencia Acosta, Hugo Aimar, Ivana Gómez:
On Frink's type metrization of weighted graphs. - Luis E. Rueda G., Edward Silva, Andres Centeno, Elkim Roa:
All-Digital FPGA-based DAC with None or Few External Components. - Endre Boros, Vladimir Gurvich, Martin Milanic, Jernej Vicic:
On the degree sequences of dual graphs on surfaces. - Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar:
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. - Fengyu Yang, Shan Yang, Qinghua Wu, Yujun Wang, Lei Xie:
Exploiting Deep Sentential Context for Expressive End-to-End Speech Synthesis. - Yun-Ning Hung, Alexander Lerch:
Multitask learning for instrument activation aware music source separation. - Ahmed Hussen Abdelaziz, Anushree Prasanna Kumar, Chloe Seivwright, Gabriele Fanelli, Justin Binder, Yannis Stylianou, Sachin Kajarekar:
Audiovisual Speech Synthesis using Tacotron2. - Yukio Hayashi, Atsushi Tanaka, Jun Matsukubo:
Effective Self-Healing Networks against Attacks or Disasters in Resource Allocation Control. - Brian Coyle, Maxwell Henderson, Justin Chan Jin Le, Niraj Kumar, Marco Paini, Elham Kashefi:
Quantum versus Classical Generative Modelling in Finance. - Monica Sunkara, Srikanth Ronanki, Dhanush Bekal, Sravan Bodapati, Katrin Kirchhoff:
Multimodal Semi-supervised Learning Framework for Punctuation Prediction in Conversational Speech. - Brian Coyle, Elham Kashefi, Matty Hoban:
Certified Randomness From Steering Using Sequential Measurements. - Ritajit Majumdar, Susmita Sur-Kolay:
Exploiting degeneracy to construct good ternary quantum error correcting code. - Okko Räsänen, María Andrea Cruz Blandón:
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics. - Rohit M. A., Preeti Rao:
Structure and Automatic Segmentation of Dhrupad Vocal Bandish Audio. - Tomás Nekvinda, Ondrej Dusek:
One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech. - Yilun Zhao, Xinda Wu, Yuqing Ye, Jia Guo, Kejun Zhang:
MusiCoder: A Universal Music-Acoustic Encoder Based on Transformers. - Thuong Nguyen Canh, Byeungwoo Jeon:
Multi-Scale Deep Compressive Imaging. - Weitao Yuan, Bofei Dong, Shengbei Wang, Masashi Unoki, Wenwu Wang:
Evolving Multi-Resolution Pooling CNN for Monaural Singing Voice Separation. - Shihao Zhang, Huazhu Fu, Yanwu Xu, Yanxia Liu, Mingkui Tan:
Retinal Image Segmentation with a Structure-Texture Demixing Network. - Ashish R. Hota, Kavish Gupta:
A Generalized SIS Epidemic Model on Temporal Networks with Asymptomatic Carriers and Comments on Decay Ratio. - Stefan Rothe, Qian Zhang, Nektarios Koukourakis, Jürgen W. Czarske:
Intensity-only Mode Decomposition on Multimode Fibers using a Densely Connected Convolutional Network. - Tamás Gábor Csapó:
Speaker dependent articulatory-to-acoustic mapping using real-time MRI of the vocal tract. - Mirko Schäfer, Bo Tranberg, Dave Jones, Anke Weidlich:
Tracing carbon dioxide emissions in the European electricity markets. - Chao Chai, Pengchong Qiao, Bin Zhao, Huiying Wang, Guohua Liu, Hong Wu, E. Mark Haacke, Wen Shen, Chen Cao, Xinchen Ye, Zhiyang Liu, Shuang Xia:
Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network. - Jairo Viola, YangQuan Chen, Jing Wang:
FaultFace: Deep Convolutional Generative Adversarial Network (DCGAN) based Ball-Bearing Failure Detection Method. - Qi Liu, Zhehuai Chen, Hao Li, Mingkun Huang, Yizhou Lu, Kai Yu:
Modular End-to-end Automatic Speech Recognition Framework for Acoustic-to-word Model. - Rahul Ramachandran:
Using neural networks to predict icephobic performance. - Faramarz Valafar, Homayoun Valafar, William S. York:
Identification of 1H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation. - Nina Kudryashova, Theoklitos Amvrosiadis, Nathalie Dupuy, Nathalie Rochefort, Arno Onken:
Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships. - Philipp Grohs, Andreas Klotz, Felix Voigtländer:
Phase Transitions in Rate Distortion Theory and Deep Learning. - Carlo Sanna, Jeffrey O. Shallit, Shun Zhang:
The Largest Entry in the Inverse of a Vandermonde Matrix. - Wenzhong Zhang, Bo Wang, Wei Cai:
A Matrix Basis Formulation For The Green's Functions Of Maxwell's Equations And The Elastic Wave Equations In Layered Media. - Emily Zhang:
On the Broadcast Dimension of a Graph. - Donghyun Kim:
Sharing Nim and Enumeration of Nim Characteristics. - Pooyan Safari, Miquel India, Javier Hernando:
Self-attention encoding and pooling for speaker recognition. - Supratik Banerjee, Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic, Michael Manzke:
Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution. - Vladimir Gurvich, Matjaz Krnc, Martin Milanic, Mikhail N. Vyalyi:
Shifting paths to avoidable ones. - Minghui LiWang, Zhibin Gao, Xianbin Wang:
Energy-aware Graph Job Allocation in Software Defined Air-Ground Integrated Vehicular Networks. - Hongliang Li, Tal Mezheritsky, Liset Vázquez Romaguera, Samuel Kadoury:
3D B-mode ultrasound speckle reduction using deep learning for 3D registration applications. - Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner:
A Spectral Energy Distance for Parallel Speech Synthesis. - Philipp Sibler, Yuanyuan Wang, Stefan Auer, Mohsin Ali, Xiao Xiang Zhu:
Generative Adversarial Networks for Synthesizing InSAR Patches. - Pim van der Hoorn, William J. Cunningham, Gabor Lippner, Carlo A. Trugenberger, Dmitri V. Krioukov:
Ollivier-Ricci curvature convergence in random geometric graphs. - Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation. - Haoqiang Guo, Lu Peng, Jian Zhang, Fang Qi, Lide Duan:
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks. - Xueyuan Zhao, Zhuoran Qi, Dario Pompili:
Configuration Learning in Underwater Optical Links. - Behrad Soleimani, Behzad Khamidehi, Maryam Sabbaghian:
No Cross-Validation Required: An Analytical Framework for Regularized Mixed-Integer Problems (Extended Version). - Feihu Huang, Songcan Chen, Heng Huang:
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. - Mengli Cheng, Chengyu Wang, Xu Hu, Jun Huang, Xiaobo Wang:
Weakly Supervised Construction of ASR Systems with Massive Video Data. - Naoki Hayashi:
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation. - Fayha ALmutairy, Reem Shadid, Safwan Wshah:
Identification and Correction of False Data Injection Attacks against AC State Estimation using Deep Learning. - Yoohwan Kwon, Soo-Whan Chung, Hong-Goo Kang:
Intra-class variation reduction of speaker representation in disentanglement framework. - Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye:
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data. - Martin Skrodzki:
Illustrations of non-Euclidean geometry in virtual reality. - Fengnan Gao, Zongming Ma, Hongsong Yuan:
Community detection in sparse latent space models. - Roberto J. Cier, Thomas Poulet, Sergio Rojas, Victor M. Calo, Manolis Veveakis:
Adaptive stabilized finite elements: Continuation analysis of compaction banding in geomaterials. - Wanyu Bian, Yunmei Chen, Xiaojing Ye:
Deep Parallel MRI Reconstruction Network Without Coil Sensitivities. - Tom de Jong, Martín Hötzel Escardó:
Domain Theory in Constructive and Predicative Univalent Foundations. - Elio D. Di Claudio, Paolo Giannitrapani, Giovanni Jacovitti:
Predicting the Blur Visual Discomfort for Natural Scenes by the Loss of Positional Information. - Hendrik Richter:
Constructing transient amplifiers for death-Birth updating: A case study of cubic and quartic regular graphs. - Heedong Do, Sungmin Cho, Jeonghun Park, Ho-Jin Song, Namyoon Lee, Angel Lozano:
Terahertz Line-Of-Sight MIMO Communication: Theory and Practical Challenges. - Sandro M. Reia, José F. Fontanari:
Wisdom of crowds: much ado about nothing. - Arseniy Gorin, Daniil Kulko, Steven Grima, Alex Glasman:
"This is Houston. Say again, please". The Behavox system for the Apollo-11 Fearless Steps Challenge (phase II). - Israel F. Araujo, Kyungdeock Daniel Park, Francesco Petruccione, Adenilton J. da Silva:
A divide-and-conquer algorithm for quantum state preparation. - Alexander Bills, Shashank Sripad, William L. Fredericks, Matthew Guttenberg, Devin Charles, Evan Frank, Venkatasubramanian Viswanathan:
Universal Battery Performance and Degradation Model for Electric Aircraft. - Vitaly Vanchurin:
The world as a neural network. - Vikram Krishnamurthy, Kunal Pattanayak, Sandeep Gogineni, Bosung Kang, Muralidhar Rangaswamy:
Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference. - Soumendu Majee, Thilo Balke, Craig A. J. Kemp, Gregery T. Buzzard, Charles A. Bouman:
Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction. - Thomas Blazek, Danilo Radovic:
Performance Evaluation of OTFS Over Measured V2V Channels at 60 GHz. - Hanieh Marvi-Khorasani, Hamid Usefi, Lourdes Peña Castillo:
Detecting ulcerative colitis from colon samples using efficient feature selection and machine learning. - Ken-ichi Kawarabayashi, Bojan Mohar, Roman Nedela, Peter Zeman:
Automorphism groups of maps in linear time. - Alex Suzdaltsev:
Distributionally Robust Pricing in Independent Private Value Auctions. - T. Kowsalya, Silvia Liberata Ullo, Chiara Zarro, K. L. Hemalatha, Parameshachari Bidare Divakarachari:
Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images. - Jim G. Dai, Mark O. Gluzman:
Queueing Network Controls via Deep Reinforcement Learning. - Alireza Abedin, Farbod T. Motlagh, Qinfeng Shi, Seyed Hamid Rezatofighi, Damith Chinthana Ranasinghe:
Towards Deep Clustering of Human Activities from Wearables. - Li Gao, Mark M. Wilde:
Recoverability for optimized quantum f-divergences. - Zhongfang Zhuang, Chin-Chia Michael Yeh, Liang Wang, Wei Zhang, Junpeng Wang:
Multi-stream RNN for Merchant Transaction Prediction. - Janak Parmar, Pritikana Das, Sanjaykumar Dave:
A Machine Learning Approach for Modelling Parking Duration in Urban Land-use. - Laura Azzimonti, Giorgio Corani, Marco Scutari:
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. - Hyewon Han, Soo-Whan Chung, Hong-Goo Kang:
MIRNet: Learning multiple identities representations in overlapped speech. - Jerry Li, Aaron Sidford, Kevin Tian, Huishuai Zhang:
Well-Conditioned Methods for Ill-Conditioned Systems: Linear Regression with Semi-Random Noise. - Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan:
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution. - Joseph O'Rourke, Costin Vîlcu:
Tailoring for Every Body: Reshaping Convex Polyhedra. - Mark Tygert:
Plotting the cumulative deviation of a subgroup from the full population as a function of score. - Greg Harrington, Fady Alajaji, Bahman Gharesifard:
Initialization and Curing Policies for Polya Contagion Networks. - Shuai Huang, James J. Lah, Jason W. Allen, Deqiang Qiu:
Fast Nonconvex T2^* Mapping Using ADMM. - Xiuyuan Cheng, Zichen Miao, Qiang Qiu:
Graph Neural Networks with Low-rank Learnable Local Filters. - James Ostrowski, Rebekah Herrman, Travis S. Humble, George Siopsis:
Lower Bounds on Circuit Depth of the Quantum Approximate Optimization Algorithm. - Daniel L. Mendoza, Tabitha M. Benney, Rajive Ganguli, Rambabu Pothina, Benjamin Krick, Cheryl S. Pirozzi, Erik T. Crosman, Yue Zhang:
Understanding the Relationship between Social Distancing Policies, Traffic Volume, Air Quality, and the Prevalence of COVID-19 Outcomes in Urban Neighborhoods. - Qi Liu, Yanmin Qian, Kai Yu:
Future Vector Enhanced LSTM Language Model for LVCSR. - Furqan Jameel, Zheng Chang, Riku Jäntti:
Secrecy Limits of Energy Harvesting IoT Networks under Channel Imperfections. - Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter:
Sketching Datasets for Large-Scale Learning (long version). - Weiwen Wu, Dianlin Hu, Hengyong Yu, Hongming Shan, Shaoyu Wang, Wenxiang Cong, Chuang Niu, Pingkun Yan, Vince Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. - Wouter Cames van Batenburg:
Minimum maximal matchings in cubic graphs. - Masanori Koyama, Shoichiro Yamaguchi:
Out-of-Distribution Generalization with Maximal Invariant Predictor. - Kamilla Haworth Buchter, Bjarke Mønsted, Sune Lehmann:
Self-interested behaviour as a social norm. - Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang:
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint. - Yihang Zhang, Aristotelis-Angelos Papadopoulos, Pengfei Chen, Faisal Alasiri, Tianchen Yuan, Jin Zhou, Petros A. Ioannou:
Integrated Traffic Simulation-Prediction System using Neural Networks with Application to the Los Angeles International Airport Road Network. - Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich:
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. - Jirong Yi, Myung Cho, Xiaodong Wu, Raghu Mudumbai, Weiyu Xu:
Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints. - Gyeongjun Kim, Keemin Sohn:
Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner. - Mengbin Ye, Lorenzo Zino, Alessandro Rizzo, Ming Cao:
Modelling epidemic dynamics under collective decision making. - Ying Cui, Shuaichao Li, Wanqing Zhang:
Jointly Sparse Signal Recovery and Support Recovery via Deep Learning with Applications in MIMO-based Grant-Free Random Access. - Vladimir Puzyrev, Chris Elders:
Unsupervised seismic facies classification using deep convolutional autoencoder. - Valentin Liévin, Andrea Dittadi, Anders Christensen, Ole Winther:
Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds. - Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer:
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs. - Josselin Garnier:
Low-frequency source imaging in an acoustic waveguide. - Yunpeng Li, Beat Gfeller, Marco Tagliasacchi, Dominik Roblek:
Learning to Denoise Historical Music. - Sebastian Gündel, Arnaud Arindra Adiyoso Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu:
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. - Christina Büsing, Arie M. C. A. Koster, Sabrina Schmitz:
Robust Minimum Cost Flow Problem Under Consistent Flow Constraints. - Joachim Schreurs, Iwein Vranckx, Bart De Ketelaere, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw:
Outlier detection in non-elliptical data by kernel MRCD. - Gabriel Meseguer-Brocal, Geoffroy Peeters:
Content based singing voice source separation via strong conditioning using aligned phonemes. - Faramarz Valafar, Homayoun Valafar:
A Comparative study of Artificial Neural Networks Using Reinforcement learning and Multidimensional Bayesian Classification Using Parzen Density Estimation for Identification of GC-EIMS Spectra of Partially Methylated Alditol Acetates. - Tamás Gábor Csapó:
Speaker dependent acoustic-to-articulatory inversion using real-time MRI of the vocal tract. - Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance. - Giacomo Cacciapaglia, Corentin Cot, Francesco Sannino:
Mining Google and Apple mobility data: Temporal Anatomy for COVID-19 Social Distancing. - Meike Hatzel, Pawel Komosa, Marcin Pilipczuk, Manuel Sorge:
Constant Congestion Brambles. - Rula Amer, Maayan Frid-Adar, Ophir Gozes, Jannette Nassar, Hayit Greenspan:
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring. - Joaquim Dias Garcia, Guilherme Machado, André Dias, Gerson Couto Oliveira, John Ollis, John Fazio, Daniel Hua:
Multiscale Stochastic Simulation of the US Pacific Northwest Using Distributed Computing and Databases with Integrated Inflow and Variable Renewable Energy. - Sreejith K. Pallathumadam, Deepak Rajendraprasad:
Characterization and a 2D Visualization of B0-VPG Cocomparability Graphs. - Hossein Shahabadi Farahani, Alireza Fatehi, Mahdi Aliyari Shoorehdeli, Alireza Nadali:
A Novel Method For Designing Transferable Soft Sensors And Its Application. - Bo Shen, Zhenyu James Kong:
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model. - Chris Criscitiello, Nicolas Boumal:
An accelerated first-order method for non-convex optimization on manifolds. - Amin Gholami, Xu Andy Sun:
A Fast Certificate for Power System Small-Signal Stability. - Antonio Blanca, Reza Gheissari:
Random-cluster dynamics on random graphs in tree uniqueness. - Tselil Schramm, Alexander S. Wein:
Computational Barriers to Estimation from Low-Degree Polynomials. - Varun Mannam, Yide Zhang, Xiaotong Yuan, Cara Ravasio, Scott S. Howard:
Machine learning for faster and smarter fluorescence lifetime imaging microscopy. - Saurabh Adya, Vineet Garg, Siddharth Sigtia, Pramod Simha, Chandra Dhir:
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering. - Zhengyang Wang, Yaochen Xie, Shuiwang Ji:
Global Voxel Transformer Networks for Augmented Microscopy. - Aryansh Omray, Samyak Jain, Utsav Krishnan, Pratik Chattopadhyay:
Exploiting Temporal Attention Features for Effective Denoising in Videos. - David M. Rogers:
Protein Conformational States: A First Principles Bayesian Method. - Wenting Li, Deepjyoti Deka:
Physics Regulated Neural Network for High Impedance Faults Detection. - Sean A. Adamson, Petros Wallden:
Quantum Magic Rectangles: Characterisation and Application to Certified Randomness Expansion. - Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai:
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning. - Behdad Chalaki, Andreas A. Malikopoulos:
Optimal Control of Connected and Automated Vehicles at Multiple Adjacent Intersections. - Parichehr Behjati, Pau Rodríguez, Armin Mehri, Isabelle Hupont, Jordi Gonzàlez, Carles Fernández Tena:
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network. - Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Valeria Andreoli, Thomas Vandeputte, Liping Wang:
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes. - Zhe Wan, Tianyi Wang, Yiming Zhou, Subramanian S. Iyer, Vwani P. Roychowdhury:
Accuracy and Resiliency of Analog Compute-in-Memory Inference Engines. - Michael Wilbur, Afiya Ayman, Anna Ouyang, Vincent Poon, Riyan Kabir, Abhiram Vadali, Philip Pugliese, Daniel Freudberg, Aron Laszka, Abhishek Dubey:
Impact of COVID-19 on Public Transit Accessibility and Ridership. - Harrison Hartle, Brennan Klein, Stefan McCabe, Alexander Daniels, Guillaume St-Onge, Charles Murphy, Laurent Hébert-Dufresne:
Network comparison and the within-ensemble graph distance. - Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang:
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. - Hideki Kawahara, Ken-Ichi Sakakibara, Mitsunori Mizumachi, Masanori Morise, Hideki Banno:
Simultaneous measurement of time-invariant linear and nonlinear, and random and extra responses using frequency domain variant of velvet noise. - Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang:
Concentration Bounds for Co-occurrence Matrices of Markov Chains. - Tamás Gábor Csapó, Kele Xu:
Quantification of Transducer Misalignment in Ultrasound Tongue Imaging. - Richard A. Davis, Mikkel S. Nielsen:
Modeling of time series using random forests: theoretical developments. - Ching-Yu Chiu, Wen-Yi Hsiao, Yin-Cheng Yeh, Yi-Hsuan Yang, Alvin Wen-Yu Su:
Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation. - Mohsen Karimi, Fahimeh Arab:
Machine Learning Based Framework for Estimation of Data Center Power Using Acoustic Side Channel. - Santi Prieto, Alfonso Ortega Giménez, Iván López-Espejo, Eduardo Lleida:
Shouted Speech Compensation for Speaker Verification Robust to Vocal Effort Conditions. - Yahuan Cong, Ran Zhang, Jian Luan:
PPSpeech: Phrase based Parallel End-to-End TTS System. - Carlos Esteve, Borjan Geshkovski, Dario Pighin, Enrique Zuazua:
Large-time asymptotics in deep learning. - Ollie McCarthy, Zohaib Ahmed:
HooliGAN: Robust, High Quality Neural Vocoding. - Dmitry Berdinsky, Murray Elder, Prohrak Kruengthomya:
Cayley Polynomial-Time Computable Groups. - Jinglin Liu, Yi Ren, Zhou Zhao, Chen Zhang, Baoxing Huai, Jing Yuan:
FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire. - Mario Lezcano Casado:
Curvature-Dependant Global Convergence Rates for Optimization on Manifolds of Bounded Geometry. - Xiang Li, Xin Tian, Henry Luo, Jinyu Qian, Xihong Wu, Dingsheng Luo, Jing Chen:
Spectral-change enhancement with prior SNR for the hearing impaired. - Roman N. Karasev, Arkadiy Skopenkov:
Some 'converses' to intrinsic linking theorems. - Dimche Kostadinov, Davide Scaramuzza:
Online Weight-adaptive Nonlinear Model Predictive Control. - Alexander Cloninger, Timo Klock:
ReLU nets adapt to intrinsic dimensionality beyond the target domain. - William Taylor, Syed Aziz Shah, Kia Dashtipour, Adnan Zahid, Qammer H. Abbasi, Muhammad Ali Imran:
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare. - Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges:
Optical Flow and Mode Selection for Learning-based Video Coding. - Shiva Shankar:
The Canonical Controller for Distributed Systems. - Peter M. C. Harrison, Raja Marjieh, Federico Adolfi, Pol van Rijn, Manuel Anglada-Tort, Ofer Tchernichovski, Pauline Larrouy-Maestri, Nori Jacoby:
Gibbs Sampling with People. - Judith Gaspers, Quynh Ngoc Thi Do, Fabian Triefenbach:
Data balancing for boosting performance of low-frequency classes in Spoken Language Understanding. - Qianru Zhang, Meng Zhang, Chinthaka Gamanayake, Chau Yuen, Zehao Geng, Hirunima Jayasekaraand, Xuewen Zhang, Chia-wei Woo, Jenny Chen Ni Low, Xiang Liu:
Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images. - Milena Lopreite, Pietro Panzarasa, Michelangelo Puliga, Massimo Riccaboni:
Early warnings of COVID-19 outbreaks across Europe from social media? - Filip Granqvist, Matt Seigel, Rogier C. van Dalen, Áine Cahill, Stephen Shum, Matthias Paulik:
Improving on-device speaker verification using federated learning with privacy. - Asma Azaiez, Mondher Benjemaa, Aida Jrajria, Hatem Zaag:
An explicit discontinuous Galerkin method for blow-up solutions of nonlinear wave equations. - Liangfa Wei, Jie Zhang, Junfeng Hou, Lirong Dai:
Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition. - Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kumar Kathania, Mikko Kurimo:
Aalto's End-to-End DNN systems for the INTERSPEECH 2020 Computational Paralinguistics Challenge. - Anthony Ngo, Max Paul Bauer, Michael Resch:
A Sensitivity Analysis Approach for Evaluating a Radar Simulation for Virtual Testing of Autonomous Driving Functions. - Adam Polyak, Lior Wolf, Yossi Adi, Yaniv Taigman:
Unsupervised Cross-Domain Singing Voice Conversion. - Andrew C. Miller, Nicholas J. Foti, Emily B. Fox:
Learning Insulin-Glucose Dynamics in the Wild. - Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra:
Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem. - Pengfei Guo, Puyang Wang, Rajeev Yasarla, Jinyuan Zhou, Vishal M. Patel, Shanshan Jiang:
Confidence-guided Lesion Mask-based Simultaneous Synthesis of Anatomic and Molecular MR Images in Patients with Post-treatment Malignant Gliomas. - Sitong Zhou, Homayoon S. M. Beigi:
A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition. - Jake Ryland Williams, Diana Solano-Oropeza, Jacob R. Hunsberger:
A general solution to the preferential selection model. - Chelsea Villanueva, Joshua Vincent, Alexander Slowinski, Mohammad-Parsa Hosseini:
Respiratory Sound Classification Using Long-Short Term Memory. - Zhu Li, Weijie J. Su, Dino Sejdinovic:
Benign Overfitting and Noisy Features. - Abdelkareem Jaradat, Hanan Lutfiyya, Anwar Haque:
Demand Response For Residential Uses: A Data Analytics Approach. - Roeland Wiersema, Cunlu Zhou, Yvette de Sereville, Juan Felipe Carrasquilla, Yong Baek Kim, Henry Yuen:
Exploring entanglement and optimization within the Hamiltonian Variational Ansatz. - Kentaro Mitsui, Tomoki Koriyama, Hiroshi Saruwatari:
Multi-speaker Text-to-speech Synthesis Using Deep Gaussian Processes. - Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. - Chongyi Li, Huazhu Fu, Runmin Cong, Zechao Li, Qianqian Xu:
NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal. - Jingyi Zhang, Wenxuan Zhong, Ping Ma:
A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research. - Jason M. Altschuler, Enric Boix-Adserà:
Polynomial-time algorithms for Multimarginal Optimal Transport problems with structure. - Bayu A. Nugroho:
The Ensemble Method for Thorax Diseases Classification. - Liqiang Zhang, Chengzhu Yu, Heng Lu, Chao Weng, Chunlei Zhang, Yusong Wu, Xiang Xie, Zijin Li, Dong Yu:
DurIAN-SC: Duration Informed Attention Network based Singing Voice Conversion System. - Yuze Zhang, Yiteng Li, Lei Zhang, Shuyu Sun:
Construction of a minimum energy path for the VT flash model by an exponential time differencing scheme with the string method. - Woo Hyun Kang, Sung Hwan Mun, Min Hyun Han, Nam Soo Kim:
Disentangled speaker and nuisance attribute embedding for robust speaker verification. - Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu:
Peking Opera Synthesis via Duration Informed Attention Network. - Timo Dimitriadis, Tilmann Gneiting, Alexander I. Jordan:
Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited. - Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang:
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos. - Clement Lee, Emma Eastoe:
From the power law to extreme value mixture distributions. - Wen-Chin Huang, Tomoki Hayashi, Yi-Chiao Wu, Hirokazu Kameoka, Tomoki Toda:
Pretraining Techniques for Sequence-to-Sequence Voice Conversion. - Karl Jansen, Eike Hermann Müller, Robert Scheichl:
Multilevel Monte Carlo for quantum mechanics on a lattice. - Devang S. Ram Mohan, Raphael Lenain, Lorenzo Foglianti, Tian Huey Teh, Marlene Staib, Alexandra Torresquintero, Jiameng Gao:
Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning. - Siddhartha Bandyopadhyay, Antonio Cabrales:
Pricing group membership. - Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin:
A Machine of Few Words - Interactive Speaker Recognition with Reinforcement Learning. - Oliver Schulz, Frederik Beaujean, Allen Caldwell, Cornelius Grunwald, Vasyl Hafych, Kevin Kröninger, Salvatore La Cagnina, Lars Röhrig, Lolian Shtembari:
BAT.jl - A Julia-based tool for Bayesian inference. - Hiroki Ito, Yuma Kinoshita, Hitoshi Kiya:
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation. - Ziqiang Shi, Rujie Liu, Jiqing Han:
Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss. - Tamás Gábor Csapó, Csaba Zainkó, László Tóth, Gábor Gosztolya, Alexandra Markó:
Ultrasound-based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis. - Shady E. Ahmed, Suraj Pawar, Omer San, Adil Rasheed, Mandar V. Tabib:
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. - Asma Azizi Boroojeni, Zhuolin Qu, Bryan L. Lewis, James Mac Hyman:
Generating a Heterosexual Bipartite Network Embedded in Social Network. - Kao Hayashi, Tomoyuki Obuchi, Yoshiyuki Kabashima:
Perfect Reconstruction of Sparse Signals via Greedy Monte-Carlo Search. - Gábor Gosztolya, László Tóth:
Applying Speech Tempo-Derived Features, BoAW and Fisher Vectors to Detect Elderly Emotion and Speech in Surgical Masks. - Si Ioi Ng, Cymie Wing-Yee Ng, Jiarui Wang, Tan Lee, Kathy Yuet-Sheung Lee, Michael Chi-Fai Tong:
CUCHILD: A Large-Scale Cantonese Corpus of Child Speech for Phonology and Articulation Assessment. - Si Ioi Ng, Tan Lee:
Automatic Detection of Phonological Errors in Child Speech Using Siamese Recurrent Autoencoder. - Xinyu Chen, Yixian Chen, Lijun Sun:
Scalable Low-Rank Autoregressive Tensor Learning for Spatiotemporal Traffic Data Imputation. - Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal:
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images. - Sebastiano Battiato, Oliver Giudice, Francesco Guarnera, Giovanni Puglisi:
In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation. - Harsh Tataria, Mansoor Shafi, Andreas F. Molisch, Mischa Dohler, Henrik Sjöland, Fredrik Tufvesson:
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities. - Zsigmond Benko, Marcell Stippinger, Roberta Rehus, Attila Bencze, Dániel Fabó, Boglárka Hajnal, Loránd Eröss, András Telcs, Zoltán Somogyvári:
Manifold-adaptive dimension estimation revisited. - (Withdrawn) The Photoswitch Dataset: A Molecular Machine Learning Benchmark for the Advancement of Synthetic Chemistry.
- Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert:
Individual Treatment Effect Estimation in a Low Compliance Setting. - Shahnawaz Ahmed, Carlos Sánchez Muñoz, Franco Nori, Anton Frisk Kockum:
Quantum State Tomography with Conditional Generative Adversarial Networks. - Vishwas M. Shetty, Metilda Sagaya Mary N. J, Srinivasan Umesh:
Investigation of Speaker-adaptation methods in Transformer based ASR. - Chris Brunsdon, Alexis J. Comber:
Opening practice: supporting Reproducibility and Critical spatial data science. - Steve Huntsman, Jimmy Paladino, Michael Robinson:
Topology in cyber research. - Rodrigo Carrasco-Davis, Esteban Reyes, Camilo Valenzuela, Francisco Förster, Pablo A. Estévez, Giuliano Pignata, Franz E. Bauer, Ignacio Reyes, Paula Sánchez-Sáez, Guillermo Cabrera-Vives, Susana Eyheramendy, Márcio Catelán, Javier Arredondo, Ernesto Castillo-Navarrete, Diego Rodríguez-Mancini, Daniela Ruz-Mieres, Alberto Moya, Luis Sabatini-Gacitúa, Cristóbal Sepúlveda-Cobo, Ashish Mahabal, Javier Silva-Farfán, Ernesto Camacho-Iñiquez, Lluís Galbany:
Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier. - Marco Mondelli, Christos Thrampoulidis, Ramji Venkataramanan:
Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models. - Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Siqi Wang, Ruisheng Diao, Zhiwei Wang:
Evaluating Load Models and Their Impacts on Power Transfer Limits. - Anurenjan Purushothaman, Anirudh Sreeram, Rohit Kumar, Sriram Ganapathy:
Deep Learning Based Dereverberation of Temporal Envelopesfor Robust Speech Recognition. - Thomas Truong, Svetlana N. Yanushkevich:
Generative Adversarial Network for Radar Signal Generation. - Chieh-Chi Kao, Bowen Shi, Ming Sun, Chao Wang:
A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling. - Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison:
Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization. - Anna Solovyova, Igor Solovyov:
X-Ray bone abnormalities detection using MURA dataset. - Lin Ai, Shih-Ying Jeng, Homayoon S. M. Beigi:
A New Approach to Accent Recognition and Conversion for Mandarin Chinese. - Matthew Perez, Wenyu Jin, Duc Le, Noelle Carlozzi, Praveen Dayalu, Angela Roberts, Emily Mower Provost:
Classification of Huntington Disease using Acoustic and Lexical Features. - Alexander J. Dittmann:
High-Order Multiderivative IMEX Schemes. - Renato J. Cintra, Hélio M. de Oliveira, C. O. Cintra:
Rounded Hartley Transform: A Quasi-involution. - Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer:
Classifying sleep-wake stages through recurrent neural networks using pulse oximetry signals. - Max Morrison, Zeyu Jin, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore:
Controllable Neural Prosody Synthesis. - Kefei Liu, Qi Long, Li Shen:
Grouping effects of sparse CCA models in variable selection. - Keishi Sando, Hideitsu Hino:
Modal Principal Component Analysis. - Ahmed Ali, Steve Renals:
Word Error Rate Estimation Without ASR Output: e-WER2. - Takuya Higuchi, Mohammad Ghasemzadeh, Kisun You, Chandra Dhir:
Stacked 1D convolutional networks for end-to-end small footprint voice trigger detection. - Wei Wang:
Using PSPNet and UNet to analyze the internal parameter relationship and visualization of the convolutional neural network. - Leda Sari, Mark Hasegawa-Johnson:
Deep F-measure Maximization for End-to-End Speech Understanding. - Renwei Dian, Shutao Li, Bin Sun, Anjing Guo:
Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion. - Jian Wang, Juzheng Miao, Xin Yang, Rui Li, Guangquan Zhou, Yuhao Huang, Zehui Lin, Wufeng Xue, Xiaohong Jia, Jianqiao Zhou, Ruobing Huang, Dong Ni:
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound. - Bowen Jiang, Maohao Shen:
Dimensionality Reduction via Diffusion Map Improved with Supervised Linear Projection. - Rajiv Kashyap, Mohamed Menisy, Peter Caiazzo, Jim Samuel:
Transparency versus Performance in Financial Markets: The Role of CSR Communications. - Daniel Vidali Fryer, Hien D. Nguyen, Pascal Castellazzi:
k-means on Positive Definite Matrices, and an Application to Clustering in Radar Image Sequences. - Rahul T. P, P. R. Aravind, Ranjith C, Usamath Nechiyil, Nandakumar Paramparambath:
Audio Spoofing Verification using Deep Convolutional Neural Networks by Transfer Learning. - Hongwei Li, Aurore Menegaux, Felix J. B. Bäuerlein, Suprosanna Shit, Benita Schmitz-Koep, Christian Sorg, Bjoern H. Menze, Dennis M. Hedderich:
Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum. - Perla Mayo, Oktay Karakus, Robin Holmes, Alin Achim:
Representation Learning via Cauchy Convolutional Sparse Coding. - Youri Raaijmakers, Sem C. Borst:
Achievable Stability in Redundancy Systems. - Shengye Hu, Baiying Lei, Yong Wang, Zhiguang Feng, Yanyan Shen, Shuqiang Wang:
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis. - Philipp O. Tsvetkov, Rémi Eyraud, Stéphane Ayache, Anton A. Bougaev, Soazig Malesinski, Hamed Benazha, Svetlana Gorokhova, Christophe Buffat, Caroline Dehais, Marc Sanson, Franck Bielle, Dominique Figarella-Branger, Olivier Chinot, Emeline Tabouret, François Devred:
An AI-powered blood test to detect cancer using nanoDSF. - Anurag Chowdhury, Austin Cozzo, Arun Ross:
JukeBox: A Multilingual Singer Recognition Dataset. - Li Zhang, Jian Wu, Lei Xie:
NPU Speaker Verification System for INTERSPEECH 2020 Far-Field Speaker Verification Challenge. - Raphael Gautier, Piyush Pandita, Sayan Ghosh, Dimitri Mavris:
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes. - Prashant G. Mehta, Sean P. Meyn:
Convex Q-Learning, Part 1: Deterministic Optimal Control. - Tejas Bhojraj:
Quantum algorithmic randomness. - Valentin Bartier, Laurine Bénéteau, Marthe Bonamy, Hoang La, Jonathan Narboni:
A note on deterministic zombies. - Alexey Sholokhov, Tomi Kinnunen, Ville Vestman, Kong Aik Lee:
Extrapolating false alarm rates in automatic speaker verification. - Sefik Emre Eskimez, You Zhang, Zhiyao Duan:
Speech Driven Talking Face Generation from a Single Image and an Emotion Condition. - Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu:
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. - Linhai Ma, Liang Liang:
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length. - Vijay Ravi, Ruchao Fan, Amber Afshan, Huanhua Lu, Abeer Alwan:
Exploring the Use of an Unsupervised Autoregressive Model as a Shared Encoder for Text-Dependent Speaker Verification. - Amber Afshan, Jinxi Guo, Soo Jin Park, Vijay Ravi, Alan McCree, Abeer Alwan:
Variable frame rate-based data augmentation to handle speaking-style variability for automatic speaker verification. - Amber Afshan, Jody Kreiman, Abeer Alwan:
Speaker discrimination in humans and machines: Effects of speaking style variability. - Loc Hoang Tran, Linh Hoang Tran:
Directed hypergraph neural network. - Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao:
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. - Berrak Sisman, Junichi Yamagishi, Simon King, Haizhou Li:
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning. - Lanston Hau Man Chu, Tejas Bhojraj, Rui Huang:
Global Optimum Search in Quantum Deep Learning. - Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu:
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition. - Dong Li, Tao Tang:
Stability analysis for the Implicit-Explicit discretization of the Cahn-Hilliard equation. - Li Xia:
Risk-Sensitive Markov Decision Processes with Combined Metrics of Mean and Variance. - Yeunju Choi, Youngmoon Jung, Hoirin Kim:
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling. - Jiadong Liang, Liangyu Zhang, Cheng Zhang, Zhihua Zhang:
Intervention Generative Adversarial Networks. - Chirag Raman, Stephanie Tan, Hayley Hung:
A Modular Approach for Synchronized Wireless Multimodal Multisensor Data Acquisition in Highly Dynamic Social Settings. - Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam:
Disentangled Multidimensional Metric Learning for Music Similarity. - M. V. Andreeva, Alexander V. Kalyuzhnyuk, V. V. Krutko, N. E. Russkikh, Iskander A. Taimanov:
Representative elementary volume via averaged scalar Minkowski functionals. - Deepak Anand, Gaurav Patel, Yaman Dang, Amit Sethi:
Switching Loss for Generalized Nucleus Detection in Histopathology. - Florian L. Kreyssig, Philip C. Woodland:
Cosine-Distance Virtual Adversarial Training for Semi-Supervised Speaker-Discriminative Acoustic Embeddings. - José L. Escalona:
A methodology for the measurement of track geometry based on computer vision and inertial sensors. - Yu Guo, Yuxu Lu, Ryan Wen Liu, Meifang Yang, Kwok Tai Chui:
Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression. - Alphan Sahin, Nozhan Hosseini, Hosseinali Jamal, David W. Matolak:
DFT-spread-OFDM Based Chirp Transmission. - Zhi Huang, Paul Salama, Wei Shao, Jie Zhang, Kun Huang:
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters. - Christin Jose, Yuriy Mishchenko, Thibaud Senechal, Anish Shah, Alex Escott, Shiv Vitaladevuni:
Accurate Detection of Wake Word Start and End Using a CNN. - Jan Vainer, Ondrej Dusek:
SpeedySpeech: Efficient Neural Speech Synthesis. - Zhe Wang, Yingbin Liang, Pengsheng Ji:
Spectral Algorithms for Community Detection in Directed Networks. - Hossein Estiri, Zachary H. Strasser, Shawn N. Murphy:
Individualized Prediction of COVID-19 Adverse outcomes with MLHO. - Jing Yuan, Xiangkun Kong, Xuemeng Wang, Shunliu Jiang, Lingqi Kong:
Polarization-independent reconfigurable frequency selective rasorber/absorber with low insertion loss. - Dingquan Li, Tingting Jiang, Ming Jiang:
Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment. - Gianluca Bianchin, Jorge I. Poveda, Emiliano Dall'Anese:
Online Optimization of Switched LTI Systems Using Continuous-Time and Hybrid Accelerated Gradient Flows. - Houman Owhadi:
Do ideas have shape? Plato's theory of forms as the continuous limit of artificial neural networks. - Daniele Bartoli, Marco Calderini:
On construction and (non)existence of c-(almost) perfect nonlinear functions. - Steffen Bruns, Jelmer M. Wolterink, Richard A. P. Takx, Robbert W. van Hamersvelt, Dominika Suchá, Max A. Viergever, Tim Leiner, Ivana Isgum:
Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT. - Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei:
A model-guided deep network for limited-angle computed tomography. - Alexander Tarakanov, Ahmed H. Elsheikh:
Optimal Bayesian experimental design for subsurface flow problems. - (Withdrawn) Cooperative Communications for Internet of Everything in B5G/6G Hybrid and Ubiquitous Networks: Foundation, Further Optimization and Solutions.
- Junchen Lu, Kun Zhou, Berrak Sisman, Haizhou Li:
VAW-GAN for Singing Voice Conversion with Non-parallel Training Data. - Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang:
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI. - Egor Lakomkin, Jahn Heymann, Ilya Sklyar, Simon Wiesler:
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition. - Linwei Hu, Jie Chen, Joel Vaughan, Hanyu Yang, Kelly Wang, Agus Sudjianto, Vijayan N. Nair:
Supervised Machine Learning Techniques: An Overview with Applications to Banking. - Mohsen Shahhosseini, Guiping Hu, Sotirios V. Archontoulis, Isaiah Huber:
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt. - Runshan Fu, Yan Huang, Param Vir Singh:
Crowd, Lending, Machine, and Bias. - Taha Yassine, Luc Le Magoarou:
mpNet: variable depth unfolded neural network for massive MIMO channel estimation. - Tomasz Waclawczyk:
Modeling of non-equilibrium effects in intermittency region between two phases. - Marlene Staib, Tian Huey Teh, Alexandra Torresquintero, Devang S. Ram Mohan, Lorenzo Foglianti, Raphael Lenain, Jiameng Gao:
Phonological Features for 0-shot Multilingual Speech Synthesis. - Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes:
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks. - Kyeongbo Kong, Woo-Jin Song, Moonsik Min:
Deep-learning-based precoding in multiuser MIMO downlink channels with limited feedback. - Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi:
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. - Ran Xin, Usman A. Khan, Soummya Kar:
An improved convergence analysis for decentralized online stochastic non-convex optimization. - Osama Amin, Hayssam Dahrouj, Nojood Almayouf, Tareq Y. Al-Naffouri, Basem Shihada, Mohamed-Slim Alouini:
Viral Aerosol Concentration Characterization and Detection in Bounded Environments. - Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana:
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices. - Christian Bär:
The Faddeev-LeVerrier algorithm and the Pfaffian. - Rakshit Ramesh, Aaron John-Sabu, Harshitha S, Siddarth Ramesh, Vishwas Navada B, Mukunth Arunachalam, Bharadwaj Amrutur:
Robust and Scalable Techniques for TWR and TDoA based localization using Ultra Wide Band Radios. - Lê Nguyên Hoang:
Purely Bayesian counterfactuals versus Newcomb's paradox. - Jeremy Avigad, Floris van Doorn:
Progress on a perimeter surveillance problem. - Jian Cong, Shan Yang, Lei Xie, Guoqiao Yu, Guanglu Wan:
Data Efficient Voice Cloning from Noisy Samples with Domain Adversarial Training. - Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi:
Robust Validation: Confident Predictions Even When Distributions Shift. - Milad Afzalan, Farrokh Jazizadeh, Hoda Eldardiry:
Two-stage building energy consumption clustering based on temporal and peak demand patterns. - Mohammad Khairul Bashar, Antik Mallick, Daniel S. Truesdell, Benton H. Calhoun, Siddharth Joshi, Nikhil Shukla:
Experimental Demonstration of a Reconfigurable Coupled Oscillator Platform to Solve the Max-Cut Problem. - Oliver Maier, Steven H. Baete, Alexander Fyrdahl, Kerstin Hammernik, Seb Harrevelt, Lars Kasper, Agah Karakuzu, Michael Loecher, Franz Patzig, Ye Tian, Ke Wang, Daniel Gallichan, Martin Uecker, Florian Knoll:
CG-SENSE revisited: Results from the first ISMRM reproducibility challenge. - Tian Hong Loh, Fabien Héliot, David Cheadle, Tom Fielder:
An Assessment of the Radio Frequency Electromagnetic Field Exposure from A Massive MIMO 5G Testbed. - Maryam Abdirad, Krishna Krishnan, Deepak Gupta:
A Two-Stage Metaheuristic Algorithm for the Dynamic Vehicle Routing Problem in Industry 4.0 approach. - Ashish Bora, Siva Balasubramanian, Boris Babenko, Sunny Virmani, Subhashini Venugopalan, Akinori Mitani, Guilherme de Oliveira Marinho, Jorge Cuadros, Paisan Ruamviboonsuk, Gregory S. Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu, Pinal Bavishi:
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning. - Yaofeng Desmond Zhong, Vaibhav Srivastava, Naomi Ehrich Leonard:
Influence Spread in the Heterogeneous Multiplex Linear Threshold Model. - Pawel Jan Kalczynski, Atsuo Suzuki, Zvi Drezner:
Obnoxious facility location: the case of weighted demand points. - Majid Asadi, Karthik Devarajan, Nader Ebrahimi, Ehsan S. Soofi, Lauren Spirko-Burns:
Probability Link Models with Symmetric Information Divergence. - Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative:
GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis. - Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative:
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI. - Yang Lou, Lin Wang, Guanrong Chen:
A Framework of Hierarchical Attacks to Network Controllability. - Hao Cui, János Kertész:
Attention dynamics on the Chinese social media Sina Weibo during the COVID-19 pandemic. - Olivier Binette, Rebecca C. Steorts:
(Almost) All of Entity Resolution. - Umut Isik, Ritwik Giri, Neerad Phansalkar, Jean-Marc Valin, Karim Helwani, Arvindh Krishnaswamy:
PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss. - Whitney K. Huang, Yu-Min Chung, Yu-Bo Wang, Jeff E. Mandel, Hau-Tieng Wu:
Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression. - Xi Chen, Songyang Zhang, Dandan Song, Peng Ouyang, Shouyi Yin:
Transformer with Bidirectional Decoder for Speech Recognition. - Chang-Bin Jeon, Hyeong-Seok Choi, Kyogu Lee:
Exploring Aligned Lyrics-Informed Singing Voice Separation. - Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay, Weixiong Zhang, Baozhou Sun:
ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images. - Junlan Chen, Ke Wang, Huanhuan Bao, Tao Chen:
A Design of Cooperative Overtaking Based on Complex Lane Detection and Collision Risk Estimation. - Ryan M. Corey, Uriah Jones, Andrew C. Singer:
Acoustic effects of medical, cloth, and transparent face masks on speech signals. - Srijay Deshpande, Fayyaz A. Minhas, Simon Graham, Nasir M. Rajpoot:
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images. - Shreyas Ramoji, Prashant Krishnan V, Sriram Ganapathy:
Neural PLDA Modeling for End-to-End Speaker Verification. - Chenxi Duan, Jun Pan, Rui Li:
Thick Cloud Removal of Remote Sensing Images Using Temporal Smoothness and Sparsity-Regularized Tensor Optimization. - Naoyuki Kanda, Xuankai Chang, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Zhuo Chen, Takuya Yoshioka:
Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings. - Haitong Zhang, Yue Lin:
Unsupervised Learning For Sequence-to-sequence Text-to-speech For Low-resource Languages. - Andi Han, Junbin Gao:
Riemannian stochastic recursive momentum method for non-convex optimization. - Zongyang Du, Kun Zhou, Berrak Sisman, Haizhou Li:
Spectrum and Prosody Conversion for Cross-lingual Voice Conversion with CycleGAN. - Omar Aloui, David Orden, Nizar Bel Hadj Ali, Landolf Rhode-Barbarigos:
Analysis of self-equilibrated networks through cellular modeling. - Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane:
Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems. - Rosa González Hautamäki, Tomi Kinnunen:
Why Did the x-Vector System Miss a Target Speaker? Impact of Acoustic Mismatch Upon Target Score on VoxCeleb Data. - Steffen Illium, Robert Müller, Andreas Sedlmeier, Claudia Linnhoff-Popien:
Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms. - Vít Jelínek, Michal Opler, Jakub Pekárek:
A Complexity Dichotomy for Permutation Pattern Matching on Grid Classes. - Jonathan Zopes, Moritz Platscher, Silvio Paganucci, Christian Federau:
Multi-modal segmentation of 3D brain scans using neural networks. - Serkan Kiranyaz, Aysen Degerli, Tahir Hamid, Rashid Mazhar, Rayyan Ahmed, Rayaan Abouhasera, Morteza Zabihi, Junaid Malik, Ridha Hamila, Moncef Gabbouj:
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection. - Edward L. Campbell, Laura Docío Fernández, Javier Jiménez Raboso, Carmen García-Mateo:
Alzheimer's Dementia Detection from Audio and Text Modalities. - Qiaoqiao Ding, Yuesong Nan, Hao Gao, Hui Ji:
AHP-Net: adaptive-hyper-parameter deep learning based image reconstruction method for multilevel low-dose CT. - Yuanbo Hou, Frank K. Soong, Jian Luan, Shengchen Li:
Transfer Learning for Improving Singing-voice Detection in Polyphonic Instrumental Music. - Metilda Sagaya Mary N. J, Sandesh V. Katta, Srinivasan Umesh:
S-vectors: Speaker Embeddings based on Transformer's Encoder for Text-Independent Speaker Verification. - Dário Augusto Borges Oliveira:
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams. - Lucas Eiermann, Florian Wirthmüller, Kay Massow, Gabi Breuel, Ilja Radusch:
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions. - Malin Stanescu, Ovidiu Vaduvescu:
The Umbrella software suite for automated asteroid detection. - Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang:
AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information. - Zheng Zhao, Muhammad F. Emzir, Simo Särkkä:
Deep State-Space Gaussian Processes. - Xinyu Zhang:
Error Bounds for Generalized Group Sparsity. - Brian Yueshuai He, Jinkai Zhou, Ziyi Ma, Ding Wang, Di Sha, Mina Lee, Joseph Y. J. Chow, Kaan Ozbay:
A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City. - Konstantin Avrachenkov, Maximilien Dreveton, Lasse Leskelä:
Estimation of Static Community Memberships from Temporal Network Data. - Richard D. White, Barbaros S. Erdal, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Engin Dikici, Sema Candemir, Mauricio S. Galizia, Jessica L. Carpenter, Thomas P. O'Donnell, Abdul H. Halabi, Luciano M. Prevedello:
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis during CCTA Evaluation of Chest-Pain in the Emergency Department: Preparing an Application for Real-World Use. - Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein:
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. - Md. Milon Islam, Fakhri Karray, Reda Alhajj, Jia Zeng:
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19). - Kevin M. Byrnes:
The Maximum Length and Isomorphism of Circuit Codes with Long Bit Runs. - Alberto Rojas, Maya Stein:
3-Colouring Pt-free graphs without short odd cycles. - Amir Kazemi, Hadi Meidani:
IGANI: Iterative Generative Adversarial Networks for Imputation Applied to Prediction of Traffic Data. - Shubhada Agrawal, Siddharth Bhandari, Anirban Bhattacharjee, Anand Deo, Narendra M. Dixit, Prahladh Harsha, Sandeep Juneja, Poonam Kesarwani, Aditya Krishna Swamy, Preetam Patil, Nihesh Rathod, Ramprasad Saptharishi, Sharad Shriram, Piyush Srivastava, Rajesh Sundaresan, Nidhin Koshy Vaidhiyan, Sarath Yasodharan:
City-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic. - Kyle M. Burk, Akil Narayan, Joseph A. Orr:
Efficient sampling for polynomial chaos-based uncertainty quantification and sensitivity analysis using weighted approximate Fekete points. - Masaki Ikuta, Jun Zhang:
TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse Problems. - Sanskriti Singh:
PneumoXttention: A CNN compensating for Human Fallibility when Detecting Pneumonia through CXR images with Attention. - Farzin Salek, Andreas J. Winter:
Multi-User Distillation of Common Randomness and Entanglement from Quantum States. - Jakub Byszewski, Gunther Cornelissen, Djurre Tijsma:
Automata and finite order elements in the Nottingham group. - Farzin Haddadpour, Belhal Karimi, Ping Li, Xiaoyun Li:
FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching. - Victoria A. Webster-Wood, Jeffrey P. Gill, Peter J. Thomas, Hillel J. Chiel:
Control for Multifunctionality: Bioinspired Control Based on Feeding in Aplysia californica. - Ziran Wang, Guoyuan Wu, George Scora:
MOVESTAR: An Open-Source Vehicle Fuel and Emission Model based on USEPA MOVES. - Munir Georges, Jonathan Huang, Tobias Bocklet:
Compact Speaker Embedding: lrx-vector. - Kuo-Wei Lai, Manisha Aggarwal, Peter C. M. van Zijl, Xu Li, Jeremias Sulam:
Learned Proximal Networks for Quantitative Susceptibility Mapping. - Mustafa Akin Yilmaz, Ahmet Murat Tekalp:
End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compression. - Vladislav V. Kravchenko, Elina L. Shishkina, Sergii M. Torba:
A Neumann series of Bessel functions representation for solutions of the radial Dirac system. - Eric Z. Chen, Xiao Chen, Jingyuan Lyu, Yuan Zheng, Terrence Chen, Jian Xu, Shanhui Sun:
Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network. - Nicolas Delfosse, Ben W. Reichardt:
Short Shor-style syndrome sequences. - Yongjiang He:
Research on the construction method of vehicle driving cycle based on Mean Shift clustering. - Yang Chen, Martin Alain, Aljosa Smolic:
Self-supervised Light Field View Synthesis Using Cycle Consistency. - Vikas Joshi, Rui Zhao, Rupesh R. Mehta, Kshitiz Kumar, Jinyu Li:
Transfer Learning Approaches for Streaming End-to-End Speech Recognition System. - Longfei Yin, Bruno Clerckx:
Rate-Splitting Multiple Access for Multigroup Multicast and Multibeam Satellite Systems. - Stefano Cerri, Andrew Hoopes, Douglas N. Greve, Mark Mühlau, Koen Van Leemput:
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. - Yan Qin, Chau Yuen, Stefan Adams:
Invariant learning based multi-stage identification for Lithium-ion battery performance degradation. - Jiajun Cai, Bo Huang:
An Inter- and Intra-Band Loss for Pansharpening Convolutional Neural Networks. - Rudolf Jagdhuber, Jörg Rahnenführer:
Implications on Feature Detection when using the Benefit-Cost Ratio. - Tiankui Zhang, Ziduan Wang, Yuanwei Liu, Wenjun Xu, Arumugam Nallanathan:
Caching Placement and Resource Allocation for Cache-Enabling UAV NOMA Networks. - Haiwei Wu, Lin Zhang, Lin Yang, Xuyang Wang, Junjie Wang, Dong Zhang, Ming Li:
Mask Detection and Breath Monitoring from Speech: on Data Augmentation, Feature Representation and Modeling. - Yosef Rinott, Tomer Shoham, Gil Kalai:
Statistical Aspects of the Quantum Supremacy Demonstration. - Ahmad Biniaz:
A short proof of the non-biplanarity of K9. - Gil Kalai:
The Argument against Quantum Computers, the Quantum Laws of Nature, and Google's Supremacy Claims. - Matthieu Rosenfeld:
Lower-bounds on the growth of power-free languages over large alphabets. - Rui Tang, Zhenxiong Miao, Shuyu Jiang, Xingshu Chen, Haizhou Wang, Wenxian Wang, Mingyong Yin, Wei Wang:
Interlayer Link Prediction in Multiplex Social Networks Based on Multiple Types of Consistency between Embedding Vectors. - Haohe Liu, Lei Xie, Jian Wu, Geng Yang:
Channel-wise Subband Input for Better Voice and Accompaniment Separation on High Resolution Music. - Julie Fitzpatrick, Nicolas Basty, Madeleine Cule, Yi Liu, Jimmy D. Bell, E. Louise Thomas, Brandon J. Whitcher:
Large-Scale Analysis of Iliopsoas Muscle Volumes in the UK Biobank. - Patrick Leydon, Martin O'Connell, Derek Greene, Kathleen M. Curran:
Bone Segmentation in Contrast Enhanced Whole-Body Computed Tomography. - Shuiyang Mao, P. C. Ching, Tan Lee:
Emotion Profile Refinery for Speech Emotion Classification. - Adam J. Svahn, Mikhail Prokopenko:
An Ansatz for undecidable computation in RNA-world automata. - Rui Liu, Berrak Sisman, Feilong Bao, Guanglai Gao, Haizhou Li:
Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS. - Dipjyoti Paul, Yannis Pantazis, Yannis Stylianou:
Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording Conditions. - Zeyu Gao, Pargorn Puttapirat, Jiangbo Shi, Chen Li:
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images. - Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin:
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC. - Arsham Ghavasieh, Massimo Stella, Jacob D. Biamonte, Manlio De Domenico:
Unraveling the effects of multiscale network entanglement on disintegration of empirical systems. - Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar:
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion. - Laura Merker, Torsten Ueckerdt:
The Local Queue Number of Graphs with Bounded Treewidth. - Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia, John S. Duncan, Keyoumars Ashkan, Rachel Sparks, Sébastien Ourselin:
Using convolution neural networks to learn enhanced fiber orientation distribution models from commercially available diffusion magnetic resonance imaging. - Denis Boyda, Gurtej Kanwar, Sébastien Racanière, Danilo Jimenez Rezende, Michael S. Albergo, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan:
Sampling using SU(N) gauge equivariant flows. - Sakshi Mishra, Anya Petersen, Stephen M. Frank, Michelle Slovensky:
Deep Learning Based Load Forecasting: from Research to Deployment - Opportunities and Challenges. - Roger Hsiao, Dogan Can, Tim Ng, Ruchir Travadi, Arnab Ghoshal:
Online Automatic Speech Recognition with Listen, Attend and Spell Model. - Jiequn Han, Ruimeng Hu, Jihao Long:
Convergence of Deep Fictitious Play for Stochastic Differential Games. - N. J. B. Aza, D. A. Barbosa T:
Entropy Power Inequality in Fermionic Quantum Computation. - Martin Jørgensen, Søren Hauberg:
Reparametrization Invariance in non-parametric Causal Discovery. - Amir Ali Ahmadi, Jeffrey Zhang:
On the complexity of finding a local minimizer of a quadratic function over a polytope. - Richard Granger:
Toward the quantification of cognition. - Rongqun Lin, Linwei Zhu, Shiqi Wang, Sam Kwong:
Towards Modality Transferable Visual Information Representation with Optimal Model Compression. - Zhenpeng Zheng, Jianzong Wang, Ning Cheng, Jian Luo, Jing Xiao:
MLNET: An Adaptive Multiple Receptive-field Attention Neural Network for Voice Activity Detection. - Zhen Zeng, Jianzong Wang, Ning Cheng, Jing Xiao:
Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit. - Xueli Jia, Jianzong Wang, Zhiyong Zhang, Ning Cheng, Jing Xiao:
Large-scale Transfer Learning for Low-resource Spoken Language Understanding. - Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification. - Koji Nuida:
An Elementary Linear-Algebraic Proof without Heavy Computation for the Group Law on Elliptic Curves. - Kjetil O. Lye, Siddhartha Mishra, Deep Ray, Praveen Chandrasekhar:
Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks. - Wenyong Huang, Wenchao Hu, Yu Ting Yeung, Xiao Chen:
Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition. - Jawook Gu, Jong Chul Ye:
AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising. - Margherita Grandini, Enrico Bagli, Giorgio Visani:
Metrics for Multi-Class Classification: an Overview. - Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat:
Conservative Stochastic Optimization with Expectation Constraints. - Takashi Isobe, Fang Zhu, Xu Jia, Shengjin Wang:
Revisiting Temporal Modeling for Video Super-resolution. - Sanyuan Chen, Yu Wu, Zhuo Chen, Jinyu Li, Chengyi Wang, Shujie Liu, Ming Zhou:
Continuous Speech Separation with Conformer. - Zhen Zhang, Chenyu Liu, Wangbin Ding, Sihan Wang, Chenhao Pei, Mingjing Yang, Liqin Huang:
Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images. - Byoung S. Ham:
Experimental demonstrations of unconditional security in a purely classical regime. - Francis X. Diebold:
On the Origin(s) of the Term "Big Data". - Chi-Ching Hsu, Gabriel Michau, Olga Fink:
Interpretable Partial Discharge Detection with Temporal Convolution and Pulse Activation Maps: An application to Power Lines. - Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann:
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography. - Murali Padmanabha, Alexander Kobelski, Arne-Jens Hempel, Stefan Streif:
A comprehensive dynamic growth and development model of Hermetia illucens larvae. - Grigory Antipov, Nicolas Gengembre, Olivier Le Blouch, Gaël Le Lan:
Automatic Quality Assessment for Audio-Visual Verification Systems. The LOVe submission to NIST SRE Challenge 2019. - José Manuel Rodríguez Caballero:
Homophilic networks evolving by mimesis. - Kateryna Melnyk, Stefan Klus, Grégoire Montavon, Tim O. F. Conrad:
GraphKKE: Graph Kernel Koopman Embedding for Human Microbiome Analysis. - Karim Fadhloun, Hesham A. Rakha, Archak Mittal:
Bicycle Longitudinal Motion Modeling. - Nina Moorman, Peter Ralli, Prasad Tetali:
On the Bipartiteness Constant and Expansion of Cayley Graphs. - Laurence Aitchison:
A statistical theory of cold posteriors in deep neural networks. - Laurence Aitchison:
A statistical theory of semi-supervised learning. - Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu:
Estimating Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks. - Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz:
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs. - Seong Min Kye, Yoohwan Kwon, Joon Son Chung:
Cross attentive pooling for speaker verification. - Lukas Exl, Norbert J. Mauser, Sebastian Schaffer, Thomas Schrefl, Dieter Suess:
Prediction of magnetization dynamics in a reduced dimensional feature space setting utilizing a low-rank kernel method. - Alqamah Sayeed, Yunsoo Choi, Ebrahim Eslami, Jia Jung, Yannic Lops, Ahmed Khan Salman:
A Novel CMAQ-CNN Hybrid Model to Forecast Hourly Surface-Ozone Concentrations Fourteen Days in Advance. - Lars A. Bratholm, Will Gerrard, Brandon M. Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, J. Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants:
A community-powered search of machine learning strategy space to find NMR property prediction models. - Shaojin Ding, Ye Jia, Ke Hu, Quan Wang:
Textual Echo Cancellation. - Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya:
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI. - Jianhe Du, Hesham A. Rakha, Helena Breuer:
An In-Depth Analysis of Ride-Hailing Travel Using a Large-scale Trip-Based Dataset. - Mikhail V. Goubko, Alexander Veremyev:
Bilinear matrix equation characterizes Laplacian and distance matrices of weighted trees. - Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Arash Mohammadi, Konstantinos N. Plataniotis:
MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction. - Karl Kratkiewicz, Rayyan Manwar, Yang Zhou, Moein Mozaffarzadeh, Kamran Avanaki:
Technical Considerations when using Verasonics Research Ultrasound Platform for Developing a Photoacoustic Imaging System. - Marie-Pier Côté, Brian Hartman, Olivier Mercier, Joshua Meyers, Jared Cummings, Elijah Harmon:
Synthesizing Property & Casualty Ratemaking Datasets using Generative Adversarial Networks. - Arindrima Datta, Guanlong Zhao, Bhuvana Ramabhadran, Eugene Weinstein:
LSTM Acoustic Models Learn to Align and Pronounce with Graphemes. - Cory McCartan, Kosuke Imai:
Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans. - Hui Xue, Jessica Artico, Marianna Fontana, James C. Moon, Rhodri H. Davies, Peter Kellman:
Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network. - Hyeonmook Park, Jungbae Park, Sang Wan Lee:
End-to-End Trainable Self-Attentive Shallow Network for Text-Independent Speaker Verification. - Amir Ali Ahmadi, Jeffrey Zhang:
Complexity aspects of local minima and related notions. - Emanuel A. Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, Todd B. Parrish, S. Kathleen Bandt, Aggelos K. Katsaggelos:
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes. - Rihuan Ke, Carola-Bibiane Schönlieb:
Unsupervised Image Restoration Using Partially Linear Denoisers. - Juan Liu, Kevin M. Koch:
Weakly-supervised Learning for Single-step Quantitative Susceptibility Mapping. - Taewoo Lee, Min-Joong Lee, Tae Gyoon Kang, Seokyeong Jung, Minseok Kwon, Yeona Hong, Jungin Lee, Kyoung-Gu Woo, Ho-Gyeong Kim, Jiseung Jeong, Jihyun Lee, Hosik Lee, Young Sang Choi:
Adaptable Multi-Domain Language Model for Transformer ASR. - Jie Fang, Jianwu Lin, Shutao Xia, Yong Jiang, Zhikang Xia, Xiang Liu:
Neural Network-based Automatic Factor Construction. - Farhan Musanna, Sanjeev Kumar:
A novel three party Quantum secret sharing scheme based on Bell state sequential measurements with application in quantum image sharing. - Katharina Prinz, Arthur Flexer, Gerhard Widmer:
The Impact of Label Noise on a Music Tagger. - Ishanki A. De Mel, Oleksiy V. Klymenko, Michael Short:
Balancing Accuracy and Complexity in Optimisation Models of Distributed Energy Systems and Microgrids: A Review. - Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu:
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. - Zeng Li, Chuanlong Xie, Qinwen Wang:
Provable More Data Hurt in High Dimensional Least Squares Estimator. - Rudolf Jagdhuber, Michel Lang, Jörg Rahnenführer:
Feature Selection Methods for Cost-Constrained Classification in Random Forests. - Chandra Sekhar Mukherjee, Subhamoy Maitra:
An Exact Quantum Query Algorithm Beyond Parity using Maiorana-McFarland (MM) type Bent functions. - Eduardo Jose Mortani Barbosa Jr., Warren B. Gefter, Rochelle Yang, Florin C. Ghesu, Siqi Liu, Boris Mailhé, Awais Mansoor, Sasa Grbic, Sebastian Piat, Guillaume Chabin, R. S. Vishwanath, Abishek Balachandran, Sebastian Vogt, Valentin Ziebandt, Steffen Kappler, Dorin Comaniciu:
Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth. - Lisa Herzog, Elvis Murina, Oliver Dürr, Susanne Wegener, Beate Sick:
Integrating uncertainty in deep neural networks for MRI based stroke analysis. - Stefano Botteghi, Martina Brasini, Patrizio Frosini, Nicola Quercioli:
On the finite representation of group equivariant operators via permutant measures. - Jonathan Devlin, Micah D. Schuster:
Probabilistic Cellular Automata for Granular Media in Video Games. - A. Torres-Signes, María Pilar Frías, María Dolores Ruiz-Medina:
Spatiotemporal Prediction of COVID-19 Mortality and Risk Assessment. - Michelle George, Saurav R. Tuladhar, Siva Sivananthan:
A study of uncompensated latency in ADS-B reports. - Sangeun Kum, Jing-Hua Lin, Li Su, Juhan Nam:
Semi-supervised learning using teacher-student models for vocal melody extraction. - Patrick Zulian, Philipp Schädle, Liudmila Karagyaur, Maria Giuseppina Chiara Nestola:
Comparison and Application of non-Conforming Mesh Models for Flow in Fractured Porous Media using dual {L}agrange multipliers. - Michael L. Schneider, K. Segall:
Fan-out and Fan-in properties of superconducting neuromorphic circuits. - John J. Cherian, Andrew G. Taube, Robert T. McGibbon, Panagiotis Angelikopoulos, Guy Blanc, Michael Snarski, Daniel D. Richman, John L. Klepeis, David E. Shaw:
Efficient hyperparameter optimization by way of PAC-Bayes bound minimization. - Paul M. Baggenstoss:
The Projected Belief Network Classfier : both Generative and Discriminative. - Dmitri Maslov, Jin-Sung Kim, Sergey Bravyi, Theodore J. Yoder, Sarah Sheldon:
Quantum advantage for computations with limited space. - Alqamah Sayeed, Yunsoo Choi, Jia Jung, Yannic Lops, Ebrahim Eslami, Ahmed Khan Salman:
A Deep Convolutional Neural Network Model for improving WRF Forecasts. - Yaroslav Balytskyi, Sang-Yoon Chang, Anatoliy Pinchuk, Manohar Raavi:
Discriminating an Arbitrary Number of Pure Quantum States by the Combined CPT and Hermitian Measurements. - Lalit Jain, Kevin G. Jamieson:
A New Perspective on Pool-Based Active Classification and False-Discovery Control. - R. Marc Lebel:
Performance characterization of a novel deep learning-based MR image reconstruction pipeline. - Peter Bell, Joachim Fainberg, Ondrej Klejch, Jinyu Li, Steve Renals, Pawel Swietojanski:
Adaptation Algorithms for Speech Recognition: An Overview. - Cristian Candia, Brian Uzzi:
The rising of collective forgetting and cultural selectivity in inventors and physicists communities. - Venkat Anantharam, François Baccelli:
Nash equilibrium structure of Cox process Hotelling games. - Yue Xing, Qifan Song, Guang Cheng:
On the Generalization Properties of Adversarial Training. - Zahra Anvari, Vassilis Athitsos:
Dehaze-GLCGAN: Unpaired Single Image De-hazing via Adversarial Training. - Shuiyang Mao, P. C. Ching, Tan Lee:
EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification. - Shuiyang Mao, P. C. Ching, C.-C. Jay Kuo, Tan Lee:
Advancing Multiple Instance Learning with Attention Modeling for Categorical Speech Emotion Recognition. - Shamane Siriwardhana, Andrew Reis, Rivindu Weerasekera, Suranga Nanayakkara:
Jointly Fine-Tuning "BERT-like" Self Supervised Models to Improve Multimodal Speech Emotion Recognition. - Sanjay Kumar, Wong Sze Wing, Teng Mingbang, Heow Pueh Lee:
Experimental investigations of psychoacoustic characteristics of household vacuum cleaners. - Ayush Singh, Ajay Bhave, Dilip K. Prasad:
Single image dehazing for a variety of haze scenarios using back projected pyramid network. - Lei Li, Qihang Peng, Jun Wang:
Deep Architectures for Modulation Recognition with Multiple Receive Antennas. - Rahul Kumar Verma, K. K. Pattanaik, P. B. R. Dissanayake, A. J. Dammika, H. A. D. Samith Buddika, Mosbeh R. Kaloop:
Damage Detection in Bridge Structures: An Edge Computing Approach. - Aditya Joglekar, John H. L. Hansen, Meena Chandra Shekhar, Abhijeet Sangwan:
FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data. - Francesco La Rosa, Erin S. Beck, Ahmed Abdulkadir, Jean-Philippe Thiran, Daniel S. Reich, Pascal Sati, Meritxell Bach Cuadra:
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. - Alex Berian, Kory Staab, Noel Teku, Gregory Ditzler, Tamal Bose, Ravi Tandon:
Adversarial Filters for Secure Modulation Classification. - Ben Adlam, Jeffrey Pennington:
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization. - Yijun Ran, Xiaomin Deng, Xiaomeng Wang, Tao Jia:
A generalized linear threshold model for an improved description of the spreading dynamics. - Matloob Khushi, Georgina Edwards, Diego Alonso de Marcos, Jane E. Carpenter, J. Dinny Graham, Christine L. Clarke:
Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information. - Thomas R. Cameron, Sebastian Charmot, Jonad Pulaj:
Diameter Polytopes of Feasible Binary Programs. - Hyun-Wook Yoon, Sang-Hoon Lee, Hyeong-Rae Noh, Seong-Whan Lee:
Audio Dequantization for High Fidelity Audio Generation in Flow-based Neural Vocoder. - Mingjie Chen, Thomas Hain:
Unsupervised Acoustic Unit Representation Learning for Voice Conversion using WaveNet Auto-encoders. - Federica Onori, Giovanna Jona-Lasinio:
Modeling "Equitable and Sustainable Well-being" (BES) using Bayesian Networks: A Case Study of the Italian regions. - Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas G. Day, David Lloyd, Bernhard Kainz:
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. - Asad Mansoor Khan, Ayesha Sadiq, Sajid Gul Khawaja, Muhammad Usman Akram, Ali Saeed Khan:
Physical Action Categorization using Signal Analysis and Machine Learning. - Yu Feng, Shaoshan Liu, Yuhao Zhu:
Real-Time Spatio-Temporal LiDAR Point Cloud Compression. - Changchun Yang, Hengrong Lan, Fei Gao:
Deep Learning Enables Robust and Precise Light Focusing on Treatment Needs. - Yurii Kolomoitsev, Maria Skopina:
Uniform approximation by multivariate quasi-projection operators. - Elizabeth Buechler, Siobhan Powell, Tao Sun, Chad Zanocco, Nicolas Astier, Jose Bolorinos, June A. Flora, Hilary Boudet, Ram Rajagopal:
Power and the Pandemic: Exploring Global Changes in Electricity Demand During COVID-19. - Anjali Sandip:
Elmer FEM-Dakota: A unified open-source computational framework for electromagnetics and data analytics. - Dmitry Krotov, John J. Hopfield:
Large Associative Memory Problem in Neurobiology and Machine Learning. - Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography. - Marc Gantenbein, Ertunc Erdil, Ender Konukoglu:
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation. - Tomasz Wlodarczyk, Szymon Plotka, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michal Lipa, Tomasz Trzcinski:
Spontaneous preterm birth prediction using convolutional neural networks. - Nikhil Bansal, Makrand Sinha:
k-Forrelation Optimally Separates Quantum and Classical Query Complexity. - Chun Kit Wong, Stéphanie Marchesseau, Maria Kalimeri, Tiang Siew Yap, Serena S. H. Teo, Lingaraj Krishna, Alfredo Franco-Obregón, Stacey K. H. Tay, Chin Meng Khoo, Philip T. H. Lee, Melvin K. S. Leow, John J. Totman, Mary C. Stephenson:
Training CNN Classifiers for Semantic Segmentation using Partially Annotated Images: with Application on Human Thigh and Calf MRI. - Youxiang Zhu, Xiaohui Liang:
Exploiting Fully Convolutional Network and Visualization Techniques on Spontaneous Speech for Dementia Detection. - Philippe Goulet Coulombe:
To Bag is to Prune. - Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi:
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation. - Soham Deshmukh, Bhiksha Raj, Rita Singh:
Multi-Task Learning for Interpretable Weakly Labelled Sound Event Detection. - Kevin M. Chen, Ronald Y. Chang:
Semi-Supervised Learning with GANs for Device-Free Fingerprinting Indoor Localization. - Yuyao Sun, Wei Xu, Lisheng Fan, Geoffrey Ye Li, George K. Karagiannidis:
AnciNet: An Efficient Deep Learning Approach for Feedback Compression of Estimated CSI in Massive MIMO Systems. - Lu Zhang, Liwei Xu, Tao Yin:
An accurate hyper-singular boundary integral equation method for dynamic poroelasticity in two dimensions. - Ziyu Wang, Yiyi Zhang, Yixiao Zhang, Junyan Jiang, Ruihan Yang, Junbo Zhao, Gus Xia:
PIANOTREE VAE: Structured Representation Learning for Polyphonic Music. - Rahim Rahmani, Ramin Firouzi, Theo Kanter:
Distributed Adaptive Formation Control for Multi-UAV to Enable Connectivity. - Andrey Kupavskii, Stefan Weltge:
Binary scalar products. - Xuqing Bai, Xueliang Li:
Graph colorings under global structural conditions. - Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci, Xavier Alameda-Pineda:
Deep Variational Generative Models for Audio-visual Speech Separation. - Ji Guan, Wang Fang, Mingsheng Ying:
Robustness Verification of Quantum Machine Learning. - Piotr Masztalski, Mateusz Matuszewski, Karol Piaskowski, Michal Romaniuk:
StoRIR: Stochastic Room Impulse Response Generation for Audio Data Augmentation. - Samy Abbes:
Deterministic concurrent systems. - Michal Romaniuk, Piotr Masztalski, Karol Piaskowski, Mateusz Matuszewski:
Efficient Low-Latency Speech Enhancement with Mobile Audio Streaming Networks. - Zuzanna Kwiatkowska, Beniamin Kalinowski, Michal Kosmider, Krzysztof Rykaczewski:
Deep Learning Based Open Set Acoustic Scene Classification. - Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen:
MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG. - Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques:
One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing. - Jun Qi, Jun Du, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee:
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression. - Wenzel Pilar von Pilchau, Varun Gowtham, Maximilian Gruber, Matthias Riedl, Nikolaos-Stefanos Koutrakis, Jawad Tayyub, Jörg Hähner, Sascha Eichstädt, Eckart Uhlmann, Julian Polte, Volker Frey, Alexander Willner:
An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems. - Sergio Garrido, Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira:
Estimating Causal Effects with the Neural Autoregressive Density Estimator. - Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi, Jane Lydia Adams, Andrew J. Reagan, Christopher M. Danforth:
Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy. - Charlie Kirkwood, Theo Economou, Nicolas Pugeault:
Bayesian deep learning for mapping via auxiliary information: a new era for geostatistics? - Puja Sahu, Nandyala Hemachandra:
Optimal Posteriors for Chi-squared Divergence based PAC-Bayesian Bounds and Comparison with KL-divergence based Optimal Posteriors and Cross-Validation Procedure. - Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy, Irina Fedulova, Mikhail Belyaev:
First U-Net Layers Contain More Domain Specific Information Than The Last Ones. - Veronica Rotemberg, Nicholas R. Kurtansky, Brigid Betz-Stablein, Liam J. Caffery, Emmanouil Chousakos, Noel Codella, Marc Combalia, Stephen W. Dusza, Pascale Guitera, David A. Gutman, Allan Halpern, Harald Kittler, Kivanç Köse, Steve Langer, Konstantinos Liopryis, Josep Malvehy, Shenara Musthaq, Jabpani Nanda, Ofer Reiter, George Shih, Alexander Stratigos, Philipp Tschandl, Jochen Weber, H. Peter Soyer:
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. - Luis H. John, Jan A. Kors, Jenna Marie Reps, Patrick B. Ryan, Peter R. Rijnbeek:
How little data do we need for patient-level prediction? - Hamid Jalalzai, Rémi Leluc:
Informative Clusters for Multivariate Extremes. - Matthias Kunik:
Further results and examples for formal mathematical systems with structural induction. - Joshua Kaufmann, Suyi Li:
Harnessing The Multi-Stability Of Kresling Origami For Reconfigurable Articulation In Soft Robotic Arms. - Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel:
Siloed Federated Learning for Multi-Centric Histopathology Datasets. - Ran Xin, Usman A. Khan, Soummya Kar:
A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization. - Lauren Pusey-Nazzaro, Prasanna Date:
Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem. - Guodong Zhang, Yuanhao Wang:
On the Suboptimality of Negative Momentum for Minimax Optimization. - Gregory Rosenthal:
Bounds on the QAC0 Complexity of Approximating Parity. - Nathan Kallus, Xiaojie Mao:
Stochastic Optimization Forests. - Anastassia Loukina, Keelan Evanini, Matthew Mulholland, Ian Blood, Klaus Zechner:
Do face masks introduce bias in speech technologies? The case of automated scoring of speaking proficiency. - Owen Lockwood, Mei Si:
Reinforcement Learning with Quantum Variational Circuits. - Carlos Hernandez-Olivan, José Ramón Beltrán, David Diaz-Guerra:
Music Boundary Detection using Convolutional Neural Networks: A comparative analysis of combined input features. - Ibrahim Al-Nahhal, Octavia A. Dobre, Salama Ikki:
On the Complexity Reduction of Uplink Sparse Code Multiple Access for Spatial Modulation. - Daan Rutten, Debankur Mukherjee:
Load Balancing Under Strict Compatibility Constraints. - Pingjun Chen, Xiao Chen, Eric Z. Chen, Hanchao Yu, Terrence Chen, Shanhui Sun:
Anatomy-Aware Cardiac Motion Estimation. - Abhinav Sagar:
Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation. - Luis Fernando Abanto-Leon, Gek Hong Sim, Matthias Hollick, Amnart Boonkajay, Fumiyuki Adachi:
SWAN: Swarm-Based Low-Complexity Scheme for PAPR Reduction. - Guannan He, Dharik S. Mallapragada, Abhishek Bose, Clara F. Heuberger, Emre Gençer:
Hydrogen Supply Chain Planning with Flexible Transmission and Storage Scheduling. - Qiang Liu, Tao Han, Ning Zhang, Ye Wang:
DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing. - Pranav Kairon, Siddhartha Bhattacharyya:
Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions. - Yen-Ju Lu, Chien-Feng Liao, Xugang Lu, Jeih-weih Hung, Yu Tsao:
Incorporating Broad Phonetic Information for Speech Enhancement. - Gautam Krishna, Co Tran, Mason Carnahan, Morgan M. Hagood, Ahmed H. Tewfik:
Speech Recognition using EEG signals recorded using dry electrodes. - Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer:
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. - Guannan He, Jeremy Michalek, Soummya Kar, Qixin Chen, Da Zhang, Jay F. Whitacre:
The economics of utility-scale portable energy storage systems in a high-renewable grid. - Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gómez:
Deep Learning Based Source Separation Applied To Choir Ensembles. - David B. Huberman, Brian J. Reich, Howard D. Bondell:
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting. - Mathew Zuparic, Duy Khuu, Tzachi Zach:
Information theory and player deck choice in online Collectable Card Games. - Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, Shrikanth Narayanan:
Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems. - Liangyuan Hu, Chenyang Gu:
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes. - Wenqi Wei, Jianzong Wang, Jiteng Ma, Ning Cheng, Jing Xiao:
A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection. - Neil F. Johnson, Nicolas Velasquez, Pedro D. Manrique, Richard F. Sear, Rhys Leahy, Nicholas Johnson Restrepo, Lucia Illari, Yonatan Lupu:
Hidden order in online extremism and its disruption by nudging collective chemistry. - Yuqian Zhou, Michael Kwan, Kyle Tolentino, Neil Emerton, Sehoon Lim, Timothy A. Large, Lijiang Fu, Zhihong Pan, Baopu Li, Qirui Yang, Yihao Liu, Jigang Tang, Tao Ku, Shibin Ma, Bingnan Hu, Jiarong Wang, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. V. Jiji, Varun Sundar, Sumanth Hegde, Divya Kothandaraman, Kaushik Mitra, Akashdeep Jassal, Nisarg A. Shah, Sabari Nathan, Nagat Abdalla Esiad Rahel, Dafan Chen, Shichao Nie, Shuting Yin, Chengconghui Ma, Haoran Wang, Tongtong Zhao, Shanshan Zhao, Joshua Rego, Huaijin G. Chen, Shuai Li, Zhenhua Hu, Kin Wai Lau, Lai-Man Po, Dahai Yu, Yasar Abbas Ur Rehman, Yiqun Li, Lianping Xing:
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results. - Lisu Yu, Jingxian Wu, Andong Zhou, Erik G. Larsson, Pingzhi Fan:
Massively Distributed Antenna Systems with Non-Ideal Optical Fiber Front-hauls: A Promising Technology for 6G Wireless Communication Systems. - Sean M. Ellison, Jeffrey A. Nanzer:
Open-Loop Distributed Beamforming Using Scalable High Accuracy Localization. - Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar:
Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences. - Maitreya Patel, Mirali Purohit, Jui Shah, Hemant A. Patil:
CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech Conversion. - Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas, Hamza M. Ruzayqat:
Score-Based Parameter Estimation for a Class of Continuous-Time State Space Models. - Tien Mai, Patrick Jaillet:
A Relation Analysis of Markov Decision Process Frameworks. - Malek El Husseini, Anjany Sekuboyina, Maximilian Löffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke:
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection. - Peter Belcak, Jan-Peter Calliess, Stefan Zohren:
Fast Agent-Based Simulation Framework of Limit Order Books with Applications to Pro-Rata Markets and the Study of Latency Effects. - Guoli Wu, Hefeng Dong, Junqiang Song, Jingya Zhang:
Bayesian geoacoustic inversion using mixture density network. - Arjun Haridas Pallath, Martin Dyrba:
Comparison of Convolutional neural network training parameters for detecting Alzheimers disease and effect on visualization. - Alexander Warsewa, Michael Böhm, Oliver Sawodny, Cristina Tarín:
A port-Hamiltonian approach to modeling the structural dynamics of complex systems. - Bo Yang, Xuelin Cao, Chau Yuen, Lijun Qian:
Offloading Optimization in Edge Computing for Deep Learning Enabled Target Tracking by Internet-of-UAVs. - Jesus Lago, Grzegorz Marcjasz, Bart De Schutter, Rafal Weron:
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. - Grzegorz Marcjasz, Jesus Lago, Rafal Weron:
Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs. - Guillaume Gisbert, Neel Dey, Hiroshi Ishikawa, Joel S. Schuman, James Fishbaugh, Guido Gerig:
Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography. - Seifeldeen Eteifa, Hesham A. Rakha, Hoda Eldardiry:
Predicting Coordinated Actuated Traffic Signal Change Times using LSTM Neural Networks. - Jack R. McKenzie, Peter A. Appleby, Thomas A. House, Neil Walton:
Fast Approximate Bayesian Contextual Cold Start Learning (FAB-COST). - Wilfredo Tovar:
Deep Learning Based on Generative Adversarial and Convolutional Neural Networks for Financial Time Series Predictions. - Benjamin C. A. Morrison, Andrew J. Landahl, Daniel S. Lobser, Kenneth M. Rudinger, Antonio E. Russo, Jay W. Van Der Wall, Peter Maunz:
Just another quantum assembly language (Jaqal). - Deborshee Sen, Theodore Papamarkou, David B. Dunson:
Bayesian neural networks and dimensionality reduction. - Arash Azhand, Sophie Rabe, Swantje Müller, Igor Sattler, Anika Steinert:
Algorithm Based on One Monocular Video Delivers Highly Valid and Reliable Gait Parameters. - Fuqiang Gu, Weicong Sng, Tasbolat Taunyazov, Harold Soh:
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition. - Youssef M. Aboutaleb, Moshe E. Ben-Akiva, Patrick Jaillet:
Learning Structure in Nested Logit Models. - Wassime Siguerdidjane, Farbod Khameneifar, Frédérick P. Gosselin:
Efficient planning of peen-forming patterns via artificial neural networks. - Eric A. Autry, Daniel Carter, Gregory Herschlag, Zach Hunter, Jonathan C. Mattingly:
Multi-Scale Merge-Split Markov Chain Monte Carlo for Redistricting. - Jerome A. Feldman:
On the Evolution of Subjective Experience. - Dilip Krishnamurthy, Nikifar Lazouski, Michal L. Gala, Karthish Manthiram, Venkatasubramanian Viswanathan:
Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning. - Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang:
mlr3proba: Machine Learning Survival Analysis in R. - Rishika Agarwal, Xiaochuan Niu, Pranay Dighe, Srikanth Vishnubhotla, Sameer Badaskar, Devang Naik:
Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation. - Mohammad-Parsa Hosseini, Cecilia Hemingway, Jerard Madamba, Alexander McKee, Natalie Ploof, Jennifer Schuman, Elliot Voss:
Review of Machine Learning Algorithms for Brain Stroke Diagnosis and Prognosis by EEG Analysis. - Svetlana Puzynina, Markus A. Whiteland:
Abelian Closures of Infinite Binary Words. - Enes Altinisik, Kasim Tasdemir, Husrev Taha Sencar:
PRNU Estimation from Encoded Videos Using Block-Based Weighting. - Georgios D. Barmparis, Giorgos P. Tsironis:
Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries. - Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization. - James A. Brofos, Roy R. Lederman:
Non-Canonical Hamiltonian Monte Carlo. - Zhengchun Liu, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Jonathan D. Almer, Rajkumar Kettimuthu, Ian T. Foster:
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning. - Lingyun Zhou, Xihan Chen, Mingyi Hong, Shi Jin, Qingjiang Shi:
Joint Channel Assignment and Power Allocation for Multi-UAV Communication. - Satoshi Hayakawa, Ken'ichiro Tanaka:
Monte Carlo construction of cubature on Wiener space. - Robert Strauss:
Augmenting Neural Differential Equations to Model Unknown Dynamical Systems with Incomplete State Information. - Lu Cheng, Ruocheng Guo, Huan Liu:
Long-Term Effect Estimation with Surrogate Representation. - Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen:
LIRA: Lifelong Image Restoration from Unknown Blended Distortions. - Qiaoying Huang, Dong Yang, Yikun Xian, Pengxiang Wu, Jingru Yi, Hui Qu, Dimitris N. Metaxas:
Enhanced MRI Reconstruction Network using Neural Architecture Search. - Arjun Sharma, Adway Mitra, Vishal Vasan, Rama Govindarajan:
Spatio-temporal relationships between rainfall and convective clouds during Indian Monsoon through a discrete lens. - Quoc-Viet Pham, Nhan Thanh Nguyen, Thien Huynh-The, Long Bao Le, Kyungchun Lee, Won-Joo Hwang:
Intelligent Radio Signal Processing: A Contemporary Survey. - Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang:
DONet: Dual Objective Networks for Skin Lesion Segmentation. - Saeed Salehi:
Axiomatic (and Non-Axiomatic) Mathematics. - Bernhard Gittenberger, Zbigniew Golebiewski, Isabella Larcher, Malgorzata Sulkowska:
Counting embeddings of rooted trees into families of rooted trees. - Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima:
Structure Learning in Inverse Ising Problems Using 𝓁2-Regularized Linear Estimator. - Helena Bergold, Winfried Hochstättler, Uwe Mayer:
The Neighborhood Polynomial of Chordal Graphs. - Lvyin Duan, Demetris Marnerides, Alan Chalmers, Zhichun Lei, Kurt Debattista:
Deep Controllable Backlight Dimming. - Athar Kharal, Mansoor H. Alshehri, Nasser Bin Turki, Faisal Z. Duraihem:
On the Notion of a Generalized Mapping on Multiset Spaces. - Tamara Fernandez, Nicolas Rivera, Wenkai Xu, Arthur Gretton:
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data. - Alexander Immer, Maciej Korzepa, Matthias Bauer:
Improving predictions of Bayesian neural networks via local linearization. - Krishna Subramani, Preeti Rao:
HpRNet : Incorporating Residual Noise Modeling for Violin in a Variational Parametric Synthesizer. - Alexander Pilz, Jonathan Rollin, Lena Schlipf, André Schulz:
Augmenting Geometric Graphs with Matchings. - Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull:
Improving Blind Spot Denoising for Microscopy. - Jiali Zhou, Haris N. Koutsopoulos:
Virus Transmission Risk in Urban Rail Systems: A Microscopic Simulation-based Analysis of Spatio-temporal Characteristics. - José Garres-Díaz, Manuel Jesús Castro Díaz, Julian Koellermeier, Tomás Morales de Luna:
Shallow Water Moment models for bedload transport problems. - Wesley H. Holliday, Eric Pacuit:
Axioms for Defeat in Democratic Elections. - Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini:
On the inverse Potts functional for single-image super-resolution problems. - Armin Galetzka, Dimitrios Loukrezis, Herbert De Gersem:
Data-Driven Solvers for Strongly Nonlinear Material Response. - Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello:
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images. - Flavia Bonomo-Braberman, Dora Tilli:
Fractional hypergraph isomorphism and fractional invariants. - Neil F. Johnson, Nicolas Velasquez, O. K. Jha, H. Niyazi, Rhys Leahy, Nicholas Johnson Restrepo, Richard F. Sear, Pedro D. Manrique, Yonatan Lupu, P. Devkota, S. Wuchty:
Covid-19 infodemic reveals new tipping point epidemiology and a revised R formula. - Esteban Rangel, Nicholas Frontiere, Salman Habib, Katrin Heitmann, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary:
Building Halo Merger Trees from the Q Continuum Simulation. - Giorgio Pietro Biondetti, Romane Gauriau, Christopher P. Bridge, Charles Lu, Katherine P. Andriole:
"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT. - Xiaoguang Li, Feifan Yang, Kin-Man Lam, Li Zhuo, Jiafeng Li:
Blur-Attention: A boosting mechanism for non-uniform blurred image restoration. - Zhuoqun Huang, Ronald L. Rivest, Philip B. Stark, Vanessa Teague, Damjan Vukcevic:
A Unified Evaluation of Two-Candidate Ballot-Polling Election Auditing Methods. - Tanishq Abraham, Andrew Shaw, Daniel O'Connor, Austin Todd, Richard Levenson:
Slide-free MUSE Microscopy to H&E Histology Modality Conversion via Unpaired Image-to-Image Translation GAN Models. - Yu Hin Au, Nathan Lindzey, Levent Tunçel:
Matchings, hypergraphs, association schemes, and semidefinite optimization. - Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu:
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. - Jiatong Shi, Nan Huo, Qin Jin:
Context-aware Goodness of Pronunciation for Computer-Assisted Pronunciation Training. - Julia Steinberg, Madhu Advani, Haim Sompolinsky:
A new role for circuit expansion for learning in neural networks. - Md Yousuf Harun, M. Arifur Rahman, Joshua Mellinger, Willy Chang, Thomas Huang, Brienne Walker, Kristen Hori, Aaron T. Ohta:
Image Segmentation of Zona-Ablated Human Blastocysts. - Md Yousuf Harun, Thomas Huang, Aaron T. Ohta:
Inner Cell Mass and Trophectoderm Segmentation in Human Blastocyst Images using Deep Neural Network. - Endre Csóka, Lukasz Grabowski:
On directed analogues of expander and hyperfinite graph sequences. - Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis. - Yaroslav Averyanov, Alain Celisse:
Minimum discrepancy principle strategy for choosing k in k-NN regression. - Wanyi Fu, Shobhit Sharma, Ehsan Abadi, Alexandros-Stavros Iliopoulos, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William Paul Segars, Ehsan Samei:
iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry. - Hamed Amini, Zachary Feinstein:
Optimal Network Compression. - Xu Cai, Jonathan Scarlett:
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization. - Affan Affan, Tamer Inanc:
Semi-Blind and l1 Robust System Identification for Anemia Management. - Takeshi Kato, Yasuhiro Asa, Misa Owa:
Positionality-Weighted Aggregation Methods on Cumulative Voting. - Ben Niu, Weilei Wen, Wenqi Ren, Xiangde Zhang, Lianping Yang, Shuzhen Wang, Kaihao Zhang, Xiaochun Cao, Haifeng Shen:
Single Image Super-Resolution via a Holistic Attention Network. - Manuel Aprile, Matthew Drescher, Samuel Fiorini, Tony Huynh:
A simple 7/3-approximation algorithm for feedback vertex set in tournaments. - Zhengfang Duanmu, Wentao Liu, Zhuoran Li, Diqi Chen, Zhou Wang, Yizhou Wang, Wen Gao:
Assessing the Quality-of-Experience of Adaptive Bitrate Video Streaming. - Qiongqiong Wang, Koji Okabe, Kong Aik Lee, Takafumi Koshinaka:
A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition. - Duong-Nguyen Nguyen, Tien-Lam Pham, Viet Cuong Nguyen, Hiori Kino, Takashi Miyake, Hieu-Chi Dam:
Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature. - Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier:
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. - Zachary M. C. Baum, Ester Bonmati, Lorenzo Cristoni, Andrew Walden, Ferran Prados, Baris Kanber, Dean C. Barratt, David J. Hawkes, Geoffrey J. M. Parker, Claudia A. M. Gandini Wheeler-Kingshott, Yipeng Hu:
Image quality assessment for closed-loop computer-assisted lung ultrasound. - Nina Klobas, Matjaz Krnc:
Fast recognition of some parametric graph families. - Maciej Skorski:
Simple Analysis of Johnson-Lindenstrauss Transform under Neuroscience Constraints. - Qiongqiong Wang, Kong Aik Lee, Takafumi Koshinaka:
Using Multi-Resolution Feature Maps with Convolutional Neural Networks for Anti-Spoofing in ASV. - Kevin de Haan, Yijie Zhang, Tairan Liu, Anthony E. Sisk, Miguel F. P. Diaz, Jonathan E. Zuckerman, Yair Rivenson, W. Dean Wallace, Aydogan Ozcan:
Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis. - K. Craigie, E. M. Gauger, Yoann Altmann, Cristian Bonato:
Resource-efficient adaptive Bayesian tracking of magnetic fields with a quantum sensor. - Tianchi Liu, Rohan Kumar Das, Maulik C. Madhavi, Shengmei Shen, Haizhou Li:
Speaker-Utterance Dual Attention for Speaker and Utterance Verification. - Hrithwik Shalu, Harikrishnan P, Akash Das, Megdut Mandal, Harshavardhan M. Sali, Juned Kadiwala:
A Data-Efficient Deep Learning Based Smartphone Application For Detection Of Pulmonary Diseases Using Chest X-rays. - Yikai Wang, Ying Guo:
LOCUS: A Novel Decomposition Method for Brain Network Connectivity Matrices using Low-rank Structure with Uniform Sparsity. - Leonardo Barboni:
A Passive Circuit-Emulator for a Current-controlled Memristor. - Wayne Chi, Prachi Kumar, Suri Yaddanapudi, Rahul Suresh, Umut Isik:
Generating Music with a Self-Correcting Non-Chronological Autoregressive Model. - Liliana Gabriela Gheorghe, Dan Reznik:
A Special Conic Associated with the Reuleaux Negative Pedal Curve. - Evalds Urtans, Ariel Tabaks:
asya: Mindful verbal communication using deep learning. - Qihan Xuan, Chen Li:
Coordinated appendages accumulate more energy to self-right on the ground. - Qihan Xuan, Chen Li:
Randomness in appendage coordination facilitates strenuous ground self-righting. - Yuan Gao, Bernd Gärtner, Jourdain B. Lamperski:
A New Combinatorial Property of Geometric Unique Sink Orientations. - Marcel Wild:
Compression with wildcards: All exact, or all minimal hitting sets. - Yuemin Bian, Xiang-Qun Xie:
Generative chemistry: drug discovery with deep learning generative models. - Saeed Salehi:
From Intuitionism to Many-Valued Logics through Kripke Models. - Arun Bhaskar, Justine Philippe, Vanessa Avramovic, Flavie Braud, Jean-François Robillard, Cédric Durand, Daniel Gloria, Christophe Gaquière, Emmanuel Dubois:
Substrate engineering of inductors on SOI for improvement of Q-factor and application in LNA. - Yu Xia, Zhiqiang Xu:
Sparse phase retrieval via Phaseliftoff. - Ziqiang Li, Pengfei Xia, Mingdao Yue, Bin Li:
Direct Adversarial Training for GANs. - David Codony, Prakhar Gupta, Onofre Marco, Irene Arias:
Modeling flexoelectricity in soft dielectrics at finite deformation. - Xiaoming Duan, Francesco Bullo:
Markov Chain-Based Stochastic Strategies for Robotic Surveillance. - J. Elisenda Grigsby, Kathryn Lindsey:
On transversality of bent hyperplane arrangements and the topological expressiveness of ReLU neural networks. - Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev:
Primal-Dual Sequential Subspace Optimization for Saddle-point Problems. - Jun Jiang, Xuan Liu, Scott A. Wallace, Eduardo Cotilla Sanchez, Robert B. Bass, Xinghui Zhao:
Defending Against Adversarial Attacks in Transmission- and Distribution-level PMU Data. - Caroline Moosmüller, Alexander Cloninger:
Linear Optimal Transport Embedding: Provable fast Wasserstein distance computation and classification for nonlinear problems. - Felipe Farias, Rosângela Coelho:
Blind Mask to Improve Intelligibility of Non-Stationary Noisy Speech. - Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun:
Conditional Entropy Coding for Efficient Video Compression. - Joseph Ulseth, Zheyuan Zhu, Guifang Li, Shuo S. Pang:
Training of mixed-signal optical convolutional neural network with reduced quantization level. - Huili Chen, Yue Zhang, Felix Weninger, Rosalind W. Picard, Cynthia Breazeal, Hae Won Park:
Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset. - Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen:
AWNet: Attentive Wavelet Network for Image ISP. - Jing Liu, Aditya Deshmukh, Venugopal V. Veeravalli:
Robust Mean Estimation in High Dimensions via 𝓁1 Minimization. - Nesrine Cherif, Wael Jaafar, Halim Yanikomeroglu, Abbas Yongaçoglu:
On the Optimal 3D Placement of a UAV Base Station for Maximal Coverage of UAV Users. - Alexander Chao-Fu Kang, Kuo-Hsuan Hung, Yu-Wen Chen, You-Jin Li, Ya-Hsin Lai, Kai-Chun Liu, Sze-Wei Fu, Syu-Siang Wang, Yu Tsao:
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application. - Alexandre Bibeau-Delisle, Gilles Brassard:
Probability and consequences of living inside a computer simulation. - Nan Rosemary Ke, Jane X. Wang, Jovana Mitrovic, Martin Szummer, Danilo J. Rezende:
Amortized learning of neural causal representations. - Ethan L. Childerhose, Jingzhou Liu:
A Heuristic Approach to Two Level Boolean Minimization Derived from Karnaugh Mapping. - Zheng Wang, Jianwu Li, Ge Song:
DTDN: Dual-task De-raining Network. - Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Yang Li, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Xiangjun Feng, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens:
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019. - Sriramkrishnan Muralikrishnan, Antoine J. Cerfon, Matthias Frey, Lee F. Ricketson, Andreas Adelmann:
Sparse Grids based Adaptive Noise Reduction strategy for Particle-In-Cell schemes. - Bapi Kar, Pradeep Kumar Gopalakrishnan, Sumon Kumar Bose, Mohendra Roy, Arindam Basu:
ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing. - Erik Burman, J. J. J. Gillissen, Lauri Oksanen:
Stability estimate for scalar image velocimetry. - Xiyu Wang, Hüseyin Yigitler, Ruifeng Duan, Estifanos Yohannes Menta, Riku Jäntti:
Coherent Multi-antenna Receiver for BPSK-modulated Ambient Backscatter Tags. - Zezheng Zhang, Matloob Khushi:
GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading. - Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione:
Topological Gradient-based Competitive Learning. - Vasileios Chatziioannou:
Structure preserving algorithms for simulation of linearly damped acoustic systems. - Joel da Costa, Tim Gebbie:
Learning low-frequency temporal patterns for quantitative trading. - Noé Tits, Kevin El Haddad, Thierry Dutoit:
Laughter Synthesis: Combining Seq2seq modeling with Transfer Learning. - Tali Kaufman, Ran J. Tessler:
Quantum LDPC codes with Ω(√n logkn) distance, for any k. - Mark Hodson, Brendan Ruck, Hugh Ong, Stefan Dulman, David Garvin:
Finding the optimal Nash equilibrium in a discrete Rosenthal congestion game using the Quantum Alternating Operator Ansatz. - Xiyu Wang, Hüseyin Yigitler, Riku Jäntti:
Optimum Multi-Antenna Ambient Backscatter Receiver for General Binary-Modulated Signal. - Alden Bradford, Tarun Yellamraju, Mireille Boutin:
Clustering small datasets in high-dimension by random projection. - Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King:
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI. - Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, Jesper Jensen:
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation. - Zhao Song, Ruizhe Zhang:
Hyperbolic Polynomials I : Concentration and Discrepancy. - Samudra Dasgupta, Travis S. Humble:
Characterizing the Stability of NISQ Devices. - Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden:
A Dynamical Central Limit Theorem for Shallow Neural Networks. - A. Borges Jr., Renato J. Cintra, Diego F. G. Coelho, Vassil S. Dimitrov:
Low-complexity Architecture for AR(1) Inference. - (Withdrawn) HRVGAN: High Resolution Video Generation using Spatio-Temporal GAN.
- Benoit Duvocelle, János Flesch, Hui Min Shi, Dries Vermeulen:
Search for a moving target in a competitive environment. - Marcel de Korte, Jaebok Kim, Esther Klabbers:
Efficient neural speech synthesis for low-resource languages through multilingual modeling. - Xiao Li, Weili Wu:
A Blockchain Transaction Graph based Machine Learning Method for Bitcoin Price Prediction. - Christoph Hertrich, Felix Schröder, Raphael Steiner:
Coloring Drawings of Graphs. - Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu:
A Unified Taylor Framework for Revisiting Attribution Methods. - Muhammad Aleem, Rahul Raj, Arshad Khan:
Comparative performance analysis of the ResNet backbones of Mask RCNN to segment the signs of COVID-19 in chest CT scans. - Elias S. Helou, Marcelo V. W. Zibetti, Gabor T. Herman:
Fast Proximal Gradient Methods for Nonsmooth Convex Optimization for Tomographic Image Reconstruction. - Can Kizilkale, Rakesh Vohra:
Constrained Trading Networks. - Manon Baudel, Arnaud Guyader, Tony Lelièvre:
On the Hill relation and the mean reaction time for metastable processes. - Peng Yi, Jinlong Lei, Yiguang Hong, Jie Chen, Guodong Shi:
Distributed Linear Equations over Random Networks. - Fangqi Li:
Solving the Three-Player-Game. - Yaqian Zhou, Hai Yang, Jintao Ke, Hai Wang, Xinwei Li:
Competitive ride-sourcing market with a third-party integrator. - Florian Toqué, Etienne Côme, Martin Trépanier, Latifa Oukhellou:
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data. - Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
Hi-CI: Deep Causal Inference in High Dimensions. - Guillermo Romero Moreno, Edoardo Manino, Long Tran-Thanh, Markus Brede:
Zealotry and Influence Maximization in the Voter Model: When to Target Zealots? - José Vicente Egas López:
They are wearing a mask! Identification of Subjects Wearing a Surgical Mask from their Speech by means of x-vectors and Fisher Vectors. - Robin Scheibler:
Independent Vector Analysis via Log-Quadratically Penalized Quadratic Minimization. - Arash Mehrjou, Andrea Iannelli, Bernhard Schölkopf:
Learning Dynamical Systems using Local Stability Priors. - Behzad Khamidehi, Elvino S. Sousa:
Federated Learning for Cellular-connected UAVs: Radio Mapping and Path Planning. - Xingyue Pu, Siu Lun Chau, Xiaowen Dong, Dino Sejdinovic:
Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint. - Li K. Wenliang:
Blindness of score-based methods to isolated components and mixing proportions. - Xinyi Wang, Yilu Liu, Lang Tong:
Adaptive Subband Compression of Streaming Data for Power System Monitoring and Control. - Raaz Dwivedi, Yan Shuo Tan, Briton Park, Mian Wei, Kevin Horgan, David Madigan, Bin Yu:
Stable discovery of interpretable subgroups via calibration in causal studies. - Daniel Murfet, William Troiani:
Gentzen-Mints-Zucker duality. - Amir Ali Ahmadi, Bachir El Khadir:
Learning Dynamical Systems with Side Information. - Masoud Hashemi, Ali Fathi:
PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards. - Iman Niazazari, Amir Ghasemkhani, Yunchuan Liu, Shuchismita Biswas, Hanif Livani, Lei Yang, Virgilio Centeno:
Deep Neural Network based Wide-Area Event Classification in Power Systems. - Joshua Jose Williard:
AMRConvNet: AMR-Coded Speech Enhancement Using Convolutional Neural Networks. - Taejun Kim, Minsuk Choi, Evan Sacks, Yi-Hsuan Yang, Juhan Nam:
A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment. - Mohammad Mahdi Dehshibi, Andrew Adamatzky:
Electrical activity of fungi: Spikes detection and complexity analysis. - Gábor Damásdi:
Odd wheels are not odd-distance graphs. - Shoma Iwai, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi:
Fidelity-Controllable Extreme Image Compression with Generative Adversarial Networks. - Przemyslaw Koprowski:
Computing singular elements modulo squares. - Elena E. Berdysheva, Nira Dyn, Elza M. Farkhi, Alona Mokhov:
Metric Fourier approximation of set-valued functions of bounded variation. - Anatol E. Wegner, Sofia C. Olhede:
Atomic subgraphs and the statistical mechanics of networks. - Saptarshi Sinha, Deep Nath, Soumen Roy:
Mass testing and proactiveness affect epidemic spreading. - (Withdrawn) Generate High Resolution Images With Generative Variational Autoencoder.
- Kehua Chen, Hongcheng Wang, Borja Valverde Perez, Luca Vezzaro, Aijie Wang:
Optimization of operation parameters towards sustainable WWTP based on deep reinforcement learning. - Pavlin Mavrodiev, Frank Schweitzer:
Enhanced or distorted wisdom of crowds? An agent-based model of opinion formation under social influence. - David Orden, Encarnación Fernández-Fernández, Marino Tejedor-Romero, Alejandra Martínez-Moraian:
Geometric and statistical techniques for projective mapping of chocolate chip cookies with a large number of consumers. - Colin Ogilvie, Juan Ospina, Charalambos Konstantinou, Tuyen V. Vu, Mark J. Stanovich, Karl Schoder, Mischa Steurer:
Modeling Communication Networks in a Real-Time Simulation Environment for Evaluating Controls of Shipboard Power Systems. - Violet Xinying Chen, Fatma Kilinç-Karzan:
Online Convex Optimization Perspective for Learning from Dynamically Revealed Preferences. - Jari Miettinen, Eyal Nitzan, Sergiy A. Vorobyov, Esa Ollila:
Graph Signal Processing Meets Blind Source Separation. - Valentin Volokitin, Sergei I. Bastrakov, Aleksei V. Bashinov, Evgeny Efimenko, Alexander A. Muraviev, Arkady A. Gonoskov, Iosif B. Meyerov:
Optimized routines for event generators in QED-PIC codes. - Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar:
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. - Yuzuru Sato, Daiji Tsutsui, Akio Fujiwara:
Noise-induced degeneration in online learning. - Rishabh Dudeja, Milad Bakhshizadeh:
Universality of Linearized Message Passing for Phase Retrieval with Structured Sensing Matrices. - David J. Armstrong, Jevgenij Gamper, Theodoros Damoulas:
Exoplanet Validation with Machine Learning: 50 new validated Kepler planets. - Krishnakumar Balasubramanian, Saeed Ghadimi, Anthony Nguyen:
Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates. - Kasper Emil Thorvaldsen, Sigurd Bjarghov, Hossein Farahmand:
Representing Long-term Impact of Residential Building Energy Management using Stochastic Dynamic Programming. - Liam Dowling Jones, Malik Magdon-Ismail, Laura Mersini-Houghton, Steven Meshnick:
A New Mathematical Model for Controlled Pandemics Like COVID-19 : AI Implemented Predictions. - Ji-Hwan You, Seon Taek Oh, Jae Eun Park, Azim Eskandarian, Young-Keun Kim:
Automatic LiDAR Extrinsic Calibration System using Photodetector and Planar Board for Large-scale Applications. - William T. Stephenson, Madeleine Udell, Tamara Broderick:
Approximate Cross-Validation with Low-Rank Data in High Dimensions. - Seontake Oh, Ji-Hwan You, Azim Eskandarian, Young-Keun Kim:
Accurate Alignment Inspection System for Low-resolution Automotive and Mobility LiDAR. - Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu:
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans. - Xiaoli Chen, Liu Yang, Jinqiao Duan, George Em Karniadakis:
Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker-Planck Equation and Physics-informed Neural Networks. - Lu Zhu, Li Xi:
Inertia-driven and elastoinertial viscoelastic turbulent channel flow simulated with a hybrid pseudo-spectral/finite-difference numerical scheme. - Ranjani Srinivasan, Jaron J. R. Lee, Narges Ahmidi, Ilya Shpitser:
Path Dependent Structural Equation Models. - Xiaohong Liu, Kangdi Shi, Zhe Wang, Jun Chen:
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference. - Arjun Kodialam:
Efficient Detection Of Infected Individuals using Two Stage Testing. - Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Statistically Significant Pattern Mining with Ordinal Utility. - Artemy Kolchinsky, David H. Wolpert:
Entropy production and thermodynamics of information under protocol constraints. - William Cheung, Sudip Vhaduri:
Continuous Authentication of Wearable Device Users from Heart Rate, Gait, and Breathing Data. - Matthew Perez, Zakaria Aldeneh, Emily Mower Provost:
Aphasic Speech Recognition using a Mixture of Speech Intelligibility Experts. - Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng:
Variational Image Restoration Network. - Kartikeya Bhardwaj, Wei Chen, Radu Marculescu:
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. - Ahmet M. Elbir, Sinem Coleri:
Federated Learning for Channel Estimation in Conventional and IRS-Assisted Massive MIMO. - Tianyi Chen, Yuejiao Sun, Wotao Yin:
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization. - Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros:
Optimization with learning-informed differential equation constraints and its applications. - Pavan Inguva, Vijesh J. Bhute, Thomas N. H. Cheng, Pierre J. Walker:
Introducing students to research codes: A short course on solving partial differential equations in Python. - Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit:
Using Deep Networks for Scientific Discovery in Physiological Signals. - Dominik Forkert, Jan Maas, Lorenzo Portinale:
Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions. - Esa Ollila, Ammar Mian:
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applications. - Mohammad Mahdi Azari, Giovanni Geraci, Adrian García-Rodríguez, Sofie Pollin:
Spectrum Sharing Strategies for UAV-to-UAV Cellular Communications. - Sansit Patnaik, Fabio Semperlotti:
Variable-Order Fracture Mechanics and its Application to Dynamic Fracture. - David Honzátko, Siavash Arjomand Bigdeli, Engin Türetken, L. Andrea Dunbar:
Efficient Blind-Spot Neural Network Architecture for Image Denoising. - Noé Tits, Kevin El Haddad, Thierry Dutoit:
ICE-Talk: an Interface for a Controllable Expressive Talking Machine. - Mi Jin Lee, Eun Lee, Byunghwee Lee, Hawoong Jeong, Deok-Sun Lee, Sang Hoon Lee:
Uncovering Hidden Dependency in Weighted Networks via Information Entropy. - Christopher Doris:
Exact p-adic computation in Magma. - Isabel Michel, Tobias Seifarth, Jörg Kuhnert, Pratik Suchde:
A Meshfree Generalized Finite Difference Method for Solution Mining Processes. - Yujie Hu, Xiaopeng Li:
Modeling and Analysis of Excess Commuting with Trip Chains. - Prateek Mishra:
Few Shot Text-Independent speaker verification using 3D-CNN. - Tuyen Trung Truong:
Unconstrained optimisation on Riemannian manifolds. - Damien Garreau, Ulrike von Luxburg:
Looking deeper into LIME. - Anant Gupta:
On Cycles of Generalized Collatz Sequences. - Qiaoying Huang, Eric Z. Chen, Hanchao Yu, Yimo Guo, Terrence Chen, Dimitris N. Metaxas, Shanhui Sun:
Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks. - Simon Becker, Wuchen Li:
Quantum statistical learning via Quantum Wasserstein natural gradient. - (Withdrawn) Hydrothermal Behavior of Fluid Flow and Heat Transfer through a Curved Square Duct with Curvature Effects.
- Richard S. Falk, Roger D. Nussbaum:
Hidden Positivity and a New Approach to Numerical Computation of Hausdorff Dimension: Higher Order Methods. - Clément Carré, André Mas:
Prediction of Hilbertian autoregressive processes : a Recurrent Neural Network approach. - Guilherme Ramos, A. Pedro Aguiar, Sérgio Pequito:
Structural Systems Theory: an overview of the last 15 years. - Ce Zhang, Azim Eskandarian:
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis. - Ce Zhang, Azim Eskandarian:
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery. - Sam Buchanan, Dar Gilboa, John Wright:
Deep Networks and the Multiple Manifold Problem. - Lorenz Butschek, Akram Akrout, Evangelia Dimitriadou, Marc Haelterman, Serge Massar:
Parallel photonic reservoir computing based on frequency multiplexing of neurons. - Elena Khusainova, Emily Dodwell, Ritwik Mitra:
SOAR: Simultaneous Or of And Rules for Classification of Positive & Negative Classes. - Xi-Lin Li:
Multichannel Convolutive Speech Separation with Estimated Density Models. - Louis Brown:
Sequences of well-distributed vertices on graphs and spectral bounds on optimal transport. - Kennedy Araujo, Tibérius O. Bonates, Bruno A. Prata:
Integrated Cutting and Packing Heterogeneous Precast Beams Multiperiod Production Planning Problem. - Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi, Jane Lydia Adams, David Rushing Dewhurst, Andrew J. Reagan, Christopher M. Danforth:
Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series. - Izumi Karino, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Identifying Critical States by the Action-Based Variance of Expected Return. - Xiangyu Meng, Xinmiao Sun, Christos G. Cassandras, Kaiyuan Xu:
Comparison of Centralized and Decentralized Approaches in Cooperative Coverage Problems with Energy-Constrained Agents. - Shisheng Cui, Uday V. Shanbhag:
Variance-Reduced Proximal and Splitting Schemes for Monotone Stochastic Generalized Equations. - Li Zeng, Zhaolong Yu, Yiliang Zhang, Hongyu Zhao:
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data. - Carlotta Langer, Nihat Ay:
Complexity as Causal Information Integration. - Henk Wymeersch, Benoît Denis:
Beyond 5G Wireless Localization with Reconfigurable Intelligent Surfaces. - Yu Zhang, Xiaoguang Di, Bin Zhang, Ruihang Ji, Chunhui Wang:
Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement Networks. - Artur Czumaj, George Kontogeorgiou, Mike Paterson:
Combinatorial Communication in the Locker Room. - Qingyan Sun, Shuo Zhang, Song Chang, Lixi Zhu, Youfang Lin:
Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic Filters. - Clémentine Cottineau:
MetaMetaZipf. What do analyses of city size distributions have in common? - Rutger-Jan Lange:
Bellman filtering for state-space models. - Pengyi Zhang, Yunxin Zhong, Yulin Deng, Xiaoying Tang, Xiaoqiong Li:
DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed Radiographs. - Alexander Stotsky:
Convergence Rate Improvement of Richardson and Newton-Schulz Iterations. - Yoshito Ohta:
On the Realization of Hidden Markov Models and Tensor Decomposition. - Sam Blakeman, Denis Mareschal:
Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning. - António Ramires, Frederic Font, Dmitry Bogdanov, Jordan B. L. Smith, Yi-Hsuan Yang, Joann Ching, Bo-Yu Chen, Yueh-Kao Wu, Wei-Han Hsu, Xavier Serra:
The Freesound Loop Dataset and Annotation Tool. - Mohamed Ibrahim Waly, Ahmed El-Hossiny:
Detection of Retinal Blood Vessels by using Gabor filter with Entropic threshold. - Fabian Neumann, Veit Hagenmeyer, Tom Brown:
Approximating Power Flow and Transmission Losses in Coordinated Capacity Expansion Problems. - Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Disentangled Representations for Domain-generalized Cardiac Segmentation. - Dirk Hartmann, Christian Lessig, Nils Margenberg, Thomas Richter:
A neural network multigrid solver for the Navier-Stokes equations. - António Ramires, Gilberto Bernardes, Matthew E. P. Davies, Xavier Serra:
TIV.lib: an open-source library for the tonal description of musical audio. - Ravi B. Boppana, Joel Brewster Lewis:
The tree search game for two players. - Yu Li:
Towards Structured Prediction in Bioinformatics with Deep Learning. - Beatriz Garcia Santa Cruz, Jan Sölter, Matías Nicolás Bossa, Andreas Dominik Husch:
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets. - Rupal Agravat, Mehul S. Raval:
3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction. - Iman Niazazari, Hanif Livani, Amir Ghasemkhani, Yunchuan Liu, Lei Yang:
Event Cause Analysis in Distribution Networks using Synchro Waveform Measurements. - Liqiang He, Dan Su, Dong Yu:
Learned Transferable Architectures Can Surpass Hand-Designed Architectures for Large Scale Speech Recognition. - Bo Pang, Zhong-Ping Jiang:
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation. - Raymel Alfonso Sallo, Mohammad Esmaeilpour, Patrick Cardinal:
Adversarially Training for Audio Classifiers. - Tiankuang Zhou, Xing Lin, Jiamin Wu, Yitong Chen, Hao Xie, Yipeng Li, Jintao Fan, Huaqiang Wu, Lu Fang, Qionghai Dai:
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit. - Bhagya N. Wickramasinghe, Dhirendra Singh, Lin Padgham:
Building a large synthetic population from Australian census data. - Anurag Chowdhury, Arun Ross:
DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in Degraded Audio Signals. - Maxime W. Lafarge, Josien P. W. Pluim, Mitko Veta:
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology. - James S. Walker, Gary W. Don:
A Geometric Analysis Of The Harmonic Structure of "In My Life". - Ashley Davey, Harry Zheng:
Deep Learning for Constrained Utility Maximisation. - Cian M. Scannell, Amedeo Chiribiri, Mitko Veta:
Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation. - Linyu Zheng, Hongmei He:
Share Price Prediction of Aerospace Relevant Companies with Recurrent Neural Networks based on PCA. - Daniel S. Berman, Craig Howser, Thomas Mehoke, Jared D. Evans:
MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations. - Yu Xie, Jonathan Vandermause, Lixin Sun, Andrea Cepellotti, Boris Kozinsky:
Fast Bayesian Force Fields from Active Learning: Study of Inter-Dimensional Transformation of Stanene. - Brighter Agyemang, Wei-Ping Wu, Daniel Addo, Michael Y. Kpiebaareh, Ebenezer Nanor, Charles Roland Haruna:
Deep Inverse Reinforcement Learning for Structural Evolution of Small Molecules. - Hyoung Suk Suh, WaiChing Sun:
An immersed phase field fracture model for fluid-infiltrating porous media with evolving Beavers-Joseph-Saffman condition. - Filip Hanzely:
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters. - Wenqian Dong, Zhen Xie, Gokcen Kestor, Dong Li:
Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation. - Hodaya Hammer, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
FCN Approach for Dynamically Locating Multiple Speakers. - Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang:
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. - Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu:
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy. - Zhou Fan:
Approximate Message Passing algorithms for rotationally invariant matrices. - Zhimei Ren, Zhengyuan Zhou:
Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits. - Yutaro Iwamoto, Kyohei Takeda, Yinhao Li, Akihiko Shiino, Yen-Wei Chen:
Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors. - Przemek Mroz:
Identifying microlensing events using neural networks. - Zhou Liu, Lei Yu, Gui-Song Xia, Hong Sun:
Mixed Noise Removal with Pareto Prior. - Jesus E. Contreras-Ocaña, Arshpreet Singh, Yvon Bésanger, Frédéric Wurtz:
Integrated Planning of a Solar/Storage Collective. - Manuel Bodirsky, Simon Knäuer:
Network satisfaction for symmetric relation algebras with a flexible atom. - Yanjun Han:
On the High Accuracy Limitation of Adaptive Property Estimation. - Yuchen Xiao, Xiaosheng Zhuang:
Adaptive directional Haar tight framelets on bounded domains for digraph signal representations. - Erkam Sinan Tandogan, Husrev Taha Sencar:
Estimating Uniqueness of Human Voice UsingI-Vector Representation. - Simone Göttlich, Thomas Schillinger:
Microscopic and Macroscopic Traffic Flow Models including Random Accidents. - Raoul Heese, Michael Bortz:
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification. - Cédric Arhancet:
Quantum information theory and Fourier multipliers on quantum groups. - Sayantari Ghosh, Saumik Bhattacharya:
A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata. - Samuel Fernández-Lorenzo, Diego Porras, Juan José García-Ripoll:
Hybrid quantum-classical optimization for financial index tracking. - Wolfgang Garn:
Balanced dynamic multiple travelling salesmen: algorithms and continuous approximations. - Javier Nistal, Stefan Lattner, Gaël Richard:
DrumGAN: Synthesis of Drum Sounds With Timbral Feature Conditioning Using Generative Adversarial Networks. - Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Peter Bürgisser, Yinan Li, Harold Nieuwboer, Michael Walter:
Interior-point methods for unconstrained geometric programming and scaling problems. - Liming Ma, Chaoping Xing:
The group structures of automorphism groups of elliptic function fields over finite fields and their applications to optimal locally repairable codes. - Naoto Hiramatsu, Yoshihiko Susuki, Atsushi Ishigame:
Koopman Mode Decomposition of Oscillatory Temperature Field inside a Room. - Jean-Paul Allouche, Guo-Niu Han, Harald Niederreiter:
Perfect linear complexity profile and Apwenian sequences. - Jeffrey Zhang:
Complexity Aspects of Fundamental Questions in Polynomial Optimization. - Seokhyun Moon, Wonho Zhung, Soojung Yang, Jaechang Lim, Woo Youn Kim:
PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions. - Bogdan Bacila, Hyunkook Lee:
Listener-Position and Orientation Dependency of Auditory Perception in an Enclosed Space: Elicitation of Salient Attributes. - Simon Becker, Lorenz Richter:
Model Order Reduction for (Stochastic-) Delay Equations With Error Bounds. - Evgeniy O. Kiktenko, Aleksei O. Malyshev, Aleksey K. Fedorov:
Blind information reconciliation with polar codes for quantum key distribution. - Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach. - Joshua Hanson, Pavel B. Bochev, Biliana S. Paskaleva:
Learning Compact Physics-Aware Delayed Photocurrent Models Using Dynamic Mode Decomposition. - Safwan Alfattani, Wael Jaafar, Yassine Hmamouche, Halim Yanikomeroglu, Abbas Yongaçoglu:
Link Budget Analysis for Reconfigurable Smart Surfaces in Aerial Platforms. - János Kertész, Johannes Wachs:
Complexity science approach to economic crime. - Steff Farley, Jo E. A. Hodgkinson, Oliver M. Gordon, Joanna Turner, Andrea Soltoggio, Philip J. Moriarty, Eugénie Hunsicker:
Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks. - Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, Mrunal Prashant Vaze, Rishikesh Magar, Michael Yousefpour, Ricardo Luis Rodriguez, John Michael Galeotti:
W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data. - Yongchun Li, Weijun Xie:
Exact and Approximation Algorithms for Sparse PCA. - Farhad Farokhi:
Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data. - Xianggen Liu, Yunan Luo, Sen Song, Jian Peng:
Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity. - Ali Akbar Septiandri, Ade Jamal, Pritta Ameilia Iffanolida, Oki Riayati, Budi Wiweko:
Human Blastocyst Classification after In Vitro Fertilization Using Deep Learning. - Majid Ashouri, Alireza Hashemi:
A transfer learning metamodel using artificial neural networks applied to natural convection flows in enclosures. - Dokyeong Kwon, Guisik Kim, Junseok Kwon:
DALE : Dark Region-Aware Low-light Image Enhancement. - Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile:
BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. - Ezgi Demircan-Tureyen, Mustafa E. Kamasak:
Nonlocal Adaptive Direction-Guided Structure Tensor Total Variation For Image Recovery. - Yi Zhao, Wen-Chin Huang, Xiaohai Tian, Junichi Yamagishi, Rohan Kumar Das, Tomi Kinnunen, Zhen-Hua Ling, Tomoki Toda:
Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion. - Theresa Neubauer, Maria Wimmer, Astrid Berg, David Major, Dimitrios Lenis, Thomas Beyer, Jelena Saponjski, Katja Bühler:
Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data. - Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani:
Causal blankets: Theory and algorithmic framework. - Yingkai Ouyang, Earl T. Campbell:
Trade-offs on number and phase shift resilience in bosonic quantum codes. - Saeed Khalilian, Yeganeh Hallaj, Arian Balouchestani, Hossein Karshenas, Amir Mohammadi:
PCB Defect Detection Using Denoising Convolutional Autoencoders. - Philip Easom-McCaldin, Ahmed Bouridane, Ammar Belatreche, Richard Jiang:
Towards Building A Facial Identification System Using Quantum Machine Learning Techniques. - Arif Ahmed Sekh, Ida Sundvor Opstad, Rohit Agarwal, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad:
Simulation-supervised deep learning for analysing organelles states and behaviour in living cells. - Berent Ånund Strømnes Lunde, Tore Selland Kleppe:
agtboost: Adaptive and Automatic Gradient Tree Boosting Computations. - Umberto Michelucci, Michael Baumgartner, Francesca Venturini:
Optical oxygen sensing with artificial intelligence. - Michael Beeson:
On the Notion of Equal Figures in Euclid. - Jérôme Lemoine, Irene Marín-Gayte, Arnaud Münch:
Approximation of null controls for semilinear heat equations using a least-squares approach. - Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger:
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. - Sakifa Aktar, Ashis Talukder, Md. Martuza Ahamad, A. H. M. Kamal, Jahidur Rahman Khan, Md. Protikuzzaman, Nasif Hossain, Julian M. W. Quinn, Matthew A. Summers, Teng Liaw, Valsamma Eapen, Mohammad Ali Moni:
Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19. - Chris Junchi Li, Wenlong Mou, Martin J. Wainwright, Michael I. Jordan:
ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm. - Melih C. Yesilli, Firas A. Khasawneh:
On Transfer Learning of Traditional Frequency and Time Domain Features in Turning. - Andrea Bruno, Giuseppe Cattaneo, Paola Capasso:
On the Reliability of the PNU for Source Camera Identification Tasks. - Andrei Agrachev, Andrey Sarychev:
Control On the Manifolds Of Mappings As a Setting For Deep Learning. - Marc Goerigk, Stefan Lendl, Lasse Wulf:
Recoverable Robust Representatives Selection Problems with Discrete Budgeted Uncertainty. - Dimitris Perdios, Manuel Vonlanthen, Florian Martinez, Marcel Arditi, Jean-Philippe Thiran:
CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging. - Mohd. Hafiz Hasan, Pascal Van Hentenryck:
The Benefits of Autonomous Vehicles for Community-Based Trip Sharing. - Bjørn Kjos-Hanssen:
A conflict between some semantic conditions of Carmo and Jones for contrary-to-duty obligations. - Hongpeng Sun:
An Efficient Augmented Lagrangian Method with Semismooth Newton Solver for Total Generalized Variation. - Jean C. Walrand:
Convergence of a Distributed Kiefer-Wolfowitz Algorithm. - Christopher Cox, Emily J. King, Dustin G. Mixon, Hans Parshall:
Uniquely optimal codes of low complexity are symmetric. - Alexandra M. Jurgens, James P. Crutchfield:
Shannon Entropy Rate of Hidden Markov Processes. - Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Yongwoo Kim, Sung-Ho Bae:
Ultra Lightweight Image Super-Resolution with Multi-Attention Layers. - Hemant Kumar Kathania, Mittul Singh, Tamás Grósz, Mikko Kurimo:
Data augmentation using prosody and false starts to recognize non-native children's speech. - Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Modulating Scalable Gaussian Processes for Expressive Statistical Learning. - Shimin Gong, Jiaye Lin, Jinbei Zhang, Dusit Niyato, Dong In Kim, Mohsen Guizani:
Optimization-driven Machine Learning for Intelligent Reflecting Surfaces Assisted Wireless Networks. - Aanjaneya Kumar, Valerio Capraro, Matjaz Perc:
The evolution of trust and trustworthiness. - Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye:
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN. - Anne-Sophie Collin, Christophe De Vleeschouwer:
Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise. - Shi Jin, Xiantao Li:
Random Batch Algorithms for Quantum Monte Carlo simulations. - Ran Tao, Tao Feng, Weicong Li:
A construction of minimal linear codes from partial difference sets. - Qianye Yang, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Qingchao Chen, J. Alison Noble, Tom Vercauteren, Dean C. Barratt, Yipeng Hu:
Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination. - Ayed M. Alrashdi, Houssem Sifaou, Abla Kammoun, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Precise Error Analysis of the LASSO under Correlated Designs. - F. Trevor Rogers:
Loss convergence in a causal Bayesian neural network of retail firm performance. - Elizabeth K. Cole, John M. Pauly, Shreyas S. Vasanawala, Frank Ong:
Unsupervised MRI Reconstruction with Generative Adversarial Networks. - Saumya Bhatnagar, Won Chang, Seonjin Kim, Jiali Wang:
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression. - Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi, Jane Lydia Adams, David Rushing Dewhurst, Andrew J. Reagan, Christopher M. Danforth:
Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions. - Juncheng Li, Faming Fang, Jiaqian Li, Kangfu Mei, Guixu Zhang:
MDCN: Multi-scale Dense Cross Network for Image Super-Resolution. - Wei Li, James Qin, Chung-Cheng Chiu, Ruoming Pang, Yanzhang He:
Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition. - Michael Michelashvili, Lior Wolf:
Hierarchical Timbre-Painting and Articulation Generation. - Shuqiang Wang, Zhuo Chen, Wen Yu, Baiying Lei:
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network. - Mert Lostar, Islem Rekik:
Deep Hypergraph U-Net for Brain Graph Embedding and Classification. - Paul-Gauthier Noé, Jean-François Bonastre, Driss Matrouf, Natalia A. Tomashenko, Andreas Nautsch, Nicholas W. D. Evans:
Speech Pseudonymisation Assessment Using Voice Similarity Matrices. - Arun Bhaskar, Justine Philippe, Flavie Braud, Etienne Okada, Vanessa Avramovic, Jean-François Robillard, Cédric Durand, Daniel Gloria, Christophe Gaquière, Emmanuel Dubois:
Large-area femtosecond laser milling of silicon employing trench analysis. - Shang-Yi Chuang, Hsin-Min Wang, Yu Tsao:
Improved Lite Audio-Visual Speech Enhancement. - Ernest Greene:
An evolutionary perspective on the design of neuromorphic shape filters. - Christian Müller, Amir Vaxman:
Discrete Curvature and Torsion from Cross-Ratios. - Hosein Zarini, Ata Khalili, Hina Tabassum, Mehdi Rasti:
Joint Transmission in QoE-Driven Backhaul-Aware MC-NOMA Cognitive Radio Network. - Juste Raimbault:
A comparison of simple models for urban morphogenesis. - Yu Tong, Dong An, Nathan Wiebe, Lin Lin:
Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions. - Jesse Geneson, Suchir Kaustav, Antoine Labelle:
Extremal results for graphs of bounded metric dimension. - Wael Jaafar, Halim Yanikomeroglu:
Dynamics of Laser-Charged UAVs: A Battery Perspective. - Stefano Barbero, Emanuele Bellini, Rusydi H. Makarim:
Rotational analysis of ChaCha permutation. - Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer:
Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. - Andrew Chapman, Dinh Hoa Nguyen, Hadi Farabi-As, Kenshi Itaoka, Katsuhiko Hirose, Yasumasa Fujii:
Hydrogen Penetration and Fuel Cell Vehicle Deployment in the Carbon Constrained Future Energy System. - Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira:
Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport. - Henrik Hellström, José Mairton B. da Silva Jr., Viktoria Fodor, Carlo Fischione:
Wireless for Machine Learning. - Mohammad Yousefvand, Chung-Tse Michael Wu, Ruo-Qian Wang, Joseph Brodie, Narayan B. Mandayam:
Modeling the Impact of 5G Leakage on Weather Prediction. - Barbora Hudcová, Tomás Mikolov:
Classification of Complex Systems Based on Transients. - Vikram Jadhao, J. C. S. Kadupitiya:
Integrating Machine Learning with HPC-driven Simulations for Enhanced Student Learning. - Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak:
Convolutional Neural Network-Bagged Decision Tree: A hybrid approach to reduce electric vehicle's driver's range anxiety by estimating energy consumption in real-time. - Moo K. Chung:
Introduction to logistic regression. - Daiki Otaki, Hirofumi Nonaka, Noboru Yamada:
Machine learning thermal circuit network model for thermal design optimization of electronic circuit board layout with transient heating chips. - Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi:
Evaluating Knowledge Transfer In Neural Network for Medical Images. - Milena Cukic, Slavoljub Radenkovic, Miodrag Stokic, Danka Savic:
Transfer entropy applied on EEG in depression reveals aberrated dynamics. - Andrés Vazquez Sieber, Mónica E. Romero:
A collection of definitions and fundamentals for a design-oriented inductor model. - Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Switchable Deep Beamformer. - Calin Chindris, Daniel Kline:
Edmonds' problem and the membership problem for orbit semigroups of quiver representations. - Andrés Vazquez Sieber, Mónica Romero:
Power Module (PM) core-specific parameters for a detailed design-oriented inductor model. - Jeff Calder, Nadejda Drenska:
Asymptotically optimal strategies for online prediction with history-dependent experts. - Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo:
Unpaired Learning of Deep Image Denoising. - Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte:
Plug-and-Play Image Restoration with Deep Denoiser Prior. - Lijun Ding, Yuqian Zhang, Yudong Chen:
Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle. - Fernando Molano Ortiz, Matteo Sammarco, Luís Henrique M. K. Costa, Marcin Detyniecki:
Vehicle Telematics Via Exteroceptive Sensors: A Survey. - Jingfan Zhang, Joaquín Carrasco, William Paul Heath:
Duality bounds for discrete-time Zames-Falb multipliers. - Mohammadreza Karamad, Rishikesh Magar, Yuting Shi, Samira Siahrostami, Ian Donald Gates, Amir Barati Farimani:
Orbital Graph Convolutional Neural Network for Material Property Prediction. - Guram Bezhanishvili, Luca Carai, Patrick J. Morandi:
Coalgebras for the powerset functor and Thomason duality. - William Xia, Sundeep Rangan, Marco Mezzavilla, Angel Lozano, Giovanni Geraci, Vasilii Semkin, Giuseppe Loianno:
Millimeter Wave Channel Modeling via Generative Neural Networks. - Haris Aziz, Florian Brandl:
The Vigilant Eating Rule: A General Approach for Probabilistic Economic Design with Constraints. - Luiz F. G. dos Santos, Ayris Narock, Teresa Nieves-Chinchilla, Marlon Núñez, Michael Kirk:
Identifying Flux Rope Signatures Using a Deep Neural Network. - Oleg N. Kirillov, Michael L. Overton:
Finding the strongest stable weightless column with a follower load and relocatable concentrated masses. - Mohamad Amin Sharifi Kolarijani, Peyman Mohajerin Esfahani:
Fast Approximate Dynamic Programming for Input-Affine Dynamics. - Yusuf Nasir:
Deep Reinforcement Learning for Field Development Optimization. - Natalie C. Behague, J. Robert Johnson:
Synchronizing Times for k-sets in Automata. - Sophie G. Schirmer, Frank C. Langbein, Carrie Ann Weidner, Edmond A. Jonckheere:
Robust Control Performance for Open Quantum Systems.
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