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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 S. 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.