cs.AI - 人工智能
cs.CC - 计算复杂度 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Belief functions induced by random fuzzy sets: Application to statistical inference
• [cs.AI]CQE in Description Logics Through Instance Indistinguishability (extended version)
• [cs.AI]Impact of different belief facets on agents’ decision — a refined cognitive architecture
• [cs.AI]Molecular Inverse-Design Platform for Material Industries
• [cs.CC]Robust testing of low-dimensional functions
• [cs.CL]A Gamma-Poisson Mixture Topic Model for Short Text
• [cs.CL]A Tool for Facilitating OCR Postediting in Historical Documents
• [cs.CL]Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling
• [cs.CL]Customization and modifications of SignWriting by LIS users
• [cs.CL]Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs
• [cs.CL]Exploring Explainable Selection to Control Abstractive Generation
• [cs.CL]FLAT: Chinese NER Using Flat-Lattice Transformer
• [cs.CL]G-DAUG: Generative Data Augmentation for Commonsense Reasoning
• [cs.CL]GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
• [cs.CL]Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation
• [cs.CL]Learning the grammar of prescription: recurrent neural network grammars for medication information extraction in clinical texts
• [cs.CL]Lite Transformer with Long-Short Range Attention
• [cs.CL]Multiple Segmentations of Thai Sentences for Neural Machine Translation
• [cs.CL]On Sparsifying Encoder Outputs in Sequence-to-Sequence Models
• [cs.CL]Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order
• [cs.CL]ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning
• [cs.CL]Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
• [cs.CL]Transliteration of Judeo-Arabic Texts into Arabic Script Using Recurrent Neural Networks
• [cs.CL]UHH-LT & LT2 at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection
• [cs.CR]Benefits and Pitfalls of Using Capture the Flag Games in University Courses
• [cs.CR]Having our omic cake and eating it too: Evaluating User Response to using Blockchain Technology for Private & Secure Health Data Management and Sharing
• [cs.CR]Why an Android App is Classified as Malware? Towards Malware Classification Interpretation
• [cs.CV]A Survey on Visual Sentiment Analysis
• [cs.CV]A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs
• [cs.CV]A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms
• [cs.CV]Any Motion Detector: Learning Class-agnostic Scene Dynamics from a Sequence of LiDAR Point Clouds
• [cs.CV]DFUC2020: Analysis Towards Diabetic Foot Ulcer Detection
• [cs.CV]DPDist : Comparing Point Clouds Using Deep Point Cloud Distance
• [cs.CV]Deep 3D Portrait from a Single Image
• [cs.CV]Deep Global Registration
• [cs.CV]Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-Attention
• [cs.CV]Detecting Unsigned Physical Road Incidents from Driver-View Images
• [cs.CV]Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
• [cs.CV]Dynamic Sampling for Deep Metric Learning
• [cs.CV]GAPS: Generator for Automatic Polynomial Solvers
• [cs.CV]Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening
• [cs.CV]Learning Gaussian Maps for Dense Object Detection
• [cs.CV]Low-latency hand gesture recognition with a low resolution thermal imager
• [cs.CV]PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing
• [cs.CV]Quantization of Deep Neural Networks for Accumulator-constrained Processors
• [cs.CV]Revisiting Modulated Convolutions for Visual Counting and Beyond
• [cs.CV]Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
• [cs.CV]Ultra Fast Structure-aware Deep Lane Detection
• [cs.CV]Understanding when spatial transformer networks do not support invariance, and what to do about it
• [cs.CV]Vision based hardware-software real-time control system for autonomous landing of an UAV
• [cs.CY]Cyber Security Behaviour In Organisations
• [cs.CY]Investigating similarities and differences between South African and Sierra Leonean school outcomes using Machine Learning
• [cs.CY]Pill Identification using a Mobile Phone App for Assessing Medication Adherence and Post-Market Drug Surveillance
• [cs.CY]Predicted by Orwell: A discourse on the gradual shift in electronic surveillance law
• [cs.CY]Responsible AI and Its Stakeholders
• [cs.CY]Simulating and Evaluating Rebalancing Strategies for Dockless Bike-Sharing Systems
• [cs.CY]Social Interactions or Business Transactions? What customer reviews disclose about Airbnb marketplace
• [cs.DC]A Survey on Edge Benchmarking
• [cs.DC]Cloud Deployment Tradeoffs for the Analysis of Spatially-Distributed Systems of Internet-of-Things
• [cs.DC]Efficient Dispersion on an Anonymous Ring in the Presence of Byzantine Robots
• [cs.DC]Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive
• [cs.DC]Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of the HPCChallenge Benchmark Suite
• [cs.DC]High performance SIMD modular arithmetic for polynomial evaluation
• [cs.DC]Revenue Maximization Approaches in IaaS Clouds: Research Challenges and Opportunities
• [cs.DS]Optimal group testing under real world restrictions
• [cs.GR]Deep Feature-preserving Normal Estimation for Point Cloud Filtering
• [cs.GT]Jealousy-freeness and other common properties in Fair Division of Mixed Manna
• [cs.HC]Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs
• [cs.HC]TeamTat: a collaborative text annotation tool
• [cs.IR]Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
• [cs.IR]Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
• [cs.IR]Learning Hierarchical Review Graph Representation for Recommendation
• [cs.IR]Learning Term Discrimination
• [cs.IT]Deep Learning Based Packet Detection and Carrier Frequency Offset Estimation in IEEE 802.11ah
• [cs.IT]Downlink Spectral Efficiency of Cell-Free Massive MIMO Systems with Multi-antenna Users
• [cs.IT]Hardware Impairments Aware Full-Duplex NOMA Networks Over Rician Fading Channels
• [cs.IT]Hybrid Combining of Directional Antennas for Periodic Broadcast V2V Communication
• [cs.IT]Investigations on $c$-Boomerang Uniformity and Perfect Nonlinearity
• [cs.IT]Recent Advancements in Defected Ground Structure Based Near-Field Wireless Power Transfer Systems
• [cs.LG]A Review of Privacy Preserving Federated Learning for Private IoT Analytics
• [cs.LG]A survey on domain adaptation theory
• [cs.LG]Adversarial Machine Learning: An Interpretation Perspective
• [cs.LG]Automatic low-bit hybrid quantization of neural networks through meta learning
• [cs.LG]Concept Drift Detection via Equal Intensity k-means Space Partitioning
• [cs.LG]Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning
• [cs.LG]Differential Network Learning Beyond Data Samples
• [cs.LG]Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
• [cs.LG]Dropout as an Implicit Gating Mechanism For Continual Learning
• [cs.LG]Efficient Neural Architecture for Text-to-Image Synthesis
• [cs.LG]Evolution of Q Values for Deep Q Learning in Stable Baselines
• [cs.LG]Federated learning with hierarchical clustering of local updates to improve training on non-IID data
• [cs.LG]How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series
• [cs.LG]Non-Exhaustive, Overlapping Co-Clustering: An Extended Analysis
• [cs.LG]Self-Organized Operational Neural Networks with Generative Neurons
• [cs.LG]Self-Paced Deep Reinforcement Learning
• [cs.LG]Target specific mining of COVID-19 scholarly articles using one-class approach
• [cs.MM]Upgrading the Newsroom: An Automated Image Selection System for News Articles
• [cs.NE]Proving $μ>1$
• [cs.NE]Variance Reduction for Better Sampling in Continuous Domains
• [cs.PF]Age of Information for Single Buffer Systems with Vacation Server
• [cs.RO]Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding
• [cs.RO]Guided Dyna-Q for Mobile Robot Exploration and Navigation
• [cs.RO]PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning
• [cs.RO]YCB-M: A Multi-Camera RGB-D Dataset for Object Recognition and 6DoF Pose Estimation
• [cs.SD]End-to-end speech-to-dialog-act recognition
• [cs.SE]Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty
• [cs.SI]Assortative-Constrained Stochastic Block Models
• [cs.SI]Characterising User Content on a Multi-lingual Social Network
• [cs.SI]Chronnet: a network-based model for spatiotemporal data analysis
• [cs.SI]Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts
• [cs.SI]Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic
• [cs.SI]Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems
• [cs.SI]TeleCrowd: A Crowdsourcing Approach to Create Informal to Formal Text Corpora
• [cs.SI]War of the Hashtags: Trending New Hashtags to Override Critical Topics in Social Media
• [econ.EM]Methods for Individual Treatment Assignment: An Application and Comparison for Playlist Generation
• [econ.GN]Environmental Economics and Uncertainty: Review and a Machine Learning Outlook
• [eess.IV]A Review of an Old Dilemma: Demosaicking First, or Denoising First?
• [eess.IV]Optic disc and fovea localisation in ultra-widefield scanning laser ophthalmoscope images captured in multiple modalities
• [eess.SP]Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain—Machine Interfaces
• [eess.SP]Robust Transmission Design for Intelligent Reflecting Surface Aided Secure Communication Systems with Imperfect Cascaded CSI
• [eess.SP]Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning
• [eess.SY]Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems
• [eess.SY]Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise
• [math.OC]Nonconvex penalization for sparse neural networks
• [math.OC]Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization
• [math.ST]Dependence uncertainty bounds for the energy score and the multivariate Gini mean difference
• [math.ST]Fiducial Symmetry in Action
• [math.ST]The Generalized Oaxaca-Blinder Estimator
• [physics.soc-ph]Investigating the Relationship between Freeway Rear-end Crash Rates and Macroscopically Modelled Reaction Time
• [q-bio.NC]The Two Kinds of Free Energy and the Bayesian Revolution
• [q-bio.PE]Evaluation of Pool-based Testing Approaches to Enable Population-wide Screening for COVID-19
• [stat.AP]A Bayesian Multilevel Random-Effects Model for Estimating Noise in Image Sensors
• [stat.CO]Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming
• [stat.ME]A Simple Weighted Approach for Instrumental Variable Estimation of Marginal Structural Mean Models
• [stat.ME]A Tree-based Semi-Varying Coefficient Model for the COM-Poisson Distribution
• [stat.ME]Estimating the Lasso’s Effective Noise
• [stat.ME]High-dimensional macroeconomic forecasting using message passing algorithms
• [stat.ME]Selected Topics in Statistical Computing
• [stat.ME]Semiparametric time series models driven by latent factor
• [stat.ME]Shortcomings of transfer entropy and partial transfer entropy: Extending them to escape the curse of dimensionality
• [stat.ML]A Causal Modeling Framework with Stochastic Confounders
• [stat.ML]Robust subgaussian estimation with VC-dimension
• [stat.ML]Sensor selection on graphs via data-driven node sub-sampling in network time series
·····································
• [cs.AI]Belief functions induced by random fuzzy sets: Application to statistical inference
Thierry Denoeux
http://arxiv.org/abs/2004.11638v1
• [cs.AI]CQE in Description Logics Through Instance Indistinguishability (extended version)
Gianluca Cima, Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo
http://arxiv.org/abs/2004.11870v1
• [cs.AI]Impact of different belief facets on agents’ decision — a refined cognitive architecture
Amir Hosein Afshar Sedigh, Martin K. Purvis, Bastin Tony Roy Savarimuthu, Christopher K Frantz, Maryam A. Purvis
http://arxiv.org/abs/2004.11858v1
• [cs.AI]Molecular Inverse-Design Platform for Material Industries
Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Victoria A. Piunova, Dmitry Zubarev, Daniel P. Sanders, Jed W. Pitera, Makoto Kogoh, Takumi Hongo, Yenwei Cheng, Wolf Bocanett, Hideaki Nakashika, Akihiro Fujita, Yuta Tsuchiya, Katsuhiko Hino, Kentaro Yano, Shuichi Hirose, Hiroki Toda, Yasumitsu Orii, Daiju Nakano
http://arxiv.org/abs/2004.11521v1
• [cs.CC]Robust testing of low-dimensional functions
Anindya De, Elchanan Mossel, Joe Neeman
http://arxiv.org/abs/2004.11642v1
• [cs.CL]A Gamma-Poisson Mixture Topic Model for Short Text
Jocelyn Mazarura, Alta de Waal, Pieter de Villiers
http://arxiv.org/abs/2004.11464v1
• [cs.CL]A Tool for Facilitating OCR Postediting in Historical Documents
Alberto Poncelas, Mohammad Aboomar, Jan Buts, James Hadley, Andy Way
http://arxiv.org/abs/2004.11471v1
• [cs.CL]Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling
Zihan Liu, Genta Indra Winata, Peng Xu, Pascale Fung
http://arxiv.org/abs/2004.11727v1
• [cs.CL]Customization and modifications of SignWriting by LIS users
Claudia S. Bianchini, Fabrizio Borgia, Margherita Castelli
http://arxiv.org/abs/2004.11583v1
• [cs.CL]Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs
Tarcísio Souza Costa, Simon Gottschalk, Elena Demidova
http://arxiv.org/abs/2004.11861v1
• [cs.CL]Exploring Explainable Selection to Control Abstractive Generation
Wang Haonan, Gao Yang, Bai Yu, Mirella Lapata, Huang Heyan
http://arxiv.org/abs/2004.11779v1
• [cs.CL]FLAT: Chinese NER Using Flat-Lattice Transformer
Xiaonan Li, Hang Yan, Xipeng Qiu, Xuanjing Huang
http://arxiv.org/abs/2004.11795v1
• [cs.CL]G-DAUG: Generative Data Augmentation for Commonsense Reasoning
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
http://arxiv.org/abs/2004.11546v1
• [cs.CL]GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
Yi-Ju Lu, Cheng-Te Li
http://arxiv.org/abs/2004.11648v1
• [cs.CL]Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation
Biao Zhang, Philip Williams, Ivan Titov, Rico Sennrich
http://arxiv.org/abs/2004.11867v1
• [cs.CL]Learning the grammar of prescription: recurrent neural network grammars for medication information extraction in clinical texts
Ivan Lerner, Jordan Jouffroy, Anita Burgun, Antoine Neuraz
http://arxiv.org/abs/2004.11622v1
• [cs.CL]Lite Transformer with Long-Short Range Attention
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han
http://arxiv.org/abs/2004.11886v1
• [cs.CL]Multiple Segmentations of Thai Sentences for Neural Machine Translation
Alberto Poncelas, Wichaya Pidchamook, Chao-Hong Liu, James Hadley, Andy Way
http://arxiv.org/abs/2004.11472v1
• [cs.CL]On Sparsifying Encoder Outputs in Sequence-to-Sequence Models
Biao Zhang, Ivan Titov, Rico Sennrich
http://arxiv.org/abs/2004.11854v1
• [cs.CL]Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order
Yi Liao, Xin Jiang, Qun Liu
http://arxiv.org/abs/2004.11579v1
• [cs.CL]ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning
Xiwen Chen, Kenny Q. Zhu
http://arxiv.org/abs/2004.11742v1
• [cs.CL]Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
http://arxiv.org/abs/2004.11892v1
• [cs.CL]Transliteration of Judeo-Arabic Texts into Arabic Script Using Recurrent Neural Networks
Nachum Dershowitz, Ori Terner
http://arxiv.org/abs/2004.11405v1
• [cs.CL]UHH-LT & LT2 at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
http://arxiv.org/abs/2004.11493v1
• [cs.CR]Benefits and Pitfalls of Using Capture the Flag Games in University Courses
Jan Vykopal, Valdemar Švábenský, Ee-Chien Chang
http://arxiv.org/abs/2004.11556v1
• [cs.CR]Having our omic cake and eating it too: Evaluating User Response to using Blockchain Technology for Private & Secure Health Data Management and Sharing
Victoria L. Lemieux, Darra Hofman, Hoda Hamouda, Danielle Batista, Ravneet Kaur, Wen Pan, Ian Costanzo, Dean Regier, Samantha Pollard, Deirdre Weymann, Rob Fraser
http://arxiv.org/abs/2004.11502v1
• [cs.CR]Why an Android App is Classified as Malware? Towards Malware Classification Interpretation
Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael Lyu
http://arxiv.org/abs/2004.11516v1
• [cs.CV]A Survey on Visual Sentiment Analysis
Alessandro Ortis, Giovanni Maria Farinella, Sebastiano Battiato
http://arxiv.org/abs/2004.11639v1
• [cs.CV]A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs
Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
http://arxiv.org/abs/2004.11693v1
• [cs.CV]A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms
Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
http://arxiv.org/abs/2004.11726v1
• [cs.CV]Any Motion Detector: Learning Class-agnostic Scene Dynamics from a Sequence of LiDAR Point Clouds
Artem Filatov, Andrey Rykov, Viacheslav Murashkin
http://arxiv.org/abs/2004.11647v1
• [cs.CV]DFUC2020: Analysis Towards Diabetic Foot Ulcer Detection
Bill Cassidy, Neil D. Reeves, Pappachan Joseph, David Gillespie, Claire O’Shea, Satyan Rajbhandari, Arun G. Maiya, Eibe Frank, Andrew Boulton, David Armstrong, Bijan Najafi, Justina Wu, Moi Hoon Yap
http://arxiv.org/abs/2004.11853v1
• [cs.CV]DPDist : Comparing Point Clouds Using Deep Point Cloud Distance
Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum
http://arxiv.org/abs/2004.11784v1
• [cs.CV]Deep 3D Portrait from a Single Image
Sicheng Xu, Jiaolong Yang, Dong Chen, Fang Wen, Yu Deng, Yunde Jia, Xin Tong
http://arxiv.org/abs/2004.11598v1
• [cs.CV]Deep Global Registration
Christopher Choy, Wei Dong, Vladlen Koltun
http://arxiv.org/abs/2004.11540v1
• [cs.CV]Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-Attention
Feng Li, Runming Cong, Huihui Bai, Yifan He
http://arxiv.org/abs/2004.11814v1
• [cs.CV]Detecting Unsigned Physical Road Incidents from Driver-View Images
Alex Levering, Martin Tomko, Devis Tuia, Kourosh Khoshelham
http://arxiv.org/abs/2004.11824v1
• [cs.CV]Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
Yu Deng, Jiaolong Yang, Dong Chen, Fang Wen, Xin Tong
http://arxiv.org/abs/2004.11660v1
• [cs.CV]Dynamic Sampling for Deep Metric Learning
Chang-Hui Liang, Wan-Lei Zhao, Run-Qing Chen
http://arxiv.org/abs/2004.11624v1
• [cs.CV]GAPS: Generator for Automatic Polynomial Solvers
Bo Li, Viktor Larsson
http://arxiv.org/abs/2004.11765v1
• [cs.CV]Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening
Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet
http://arxiv.org/abs/2004.11721v1
• [cs.CV]Learning Gaussian Maps for Dense Object Detection
Sonaal Kant
http://arxiv.org/abs/2004.11855v1
• [cs.CV]Low-latency hand gesture recognition with a low resolution thermal imager
Maarten Vandersteegen, Wouter Reusen, Kristof Van Beeck Toon Goedeme
http://arxiv.org/abs/2004.11623v1
• [cs.CV]PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing
Qing Yang, Xia Zhu, Jong-Kae Fwu, Yun Ye, Ganmei You, Yuan Zhu
http://arxiv.org/abs/2004.11744v1
• [cs.CV]Quantization of Deep Neural Networks for Accumulator-constrained Processors
Barry de Bruin, Zoran Zivkovic, Henk Corporaal
http://arxiv.org/abs/2004.11783v1
• [cs.CV]Revisiting Modulated Convolutions for Visual Counting and Beyond
Duy-Kien Nguyen, Vedanuj Goswami, Xinlei Chen
http://arxiv.org/abs/2004.11883v1
• [cs.CV]Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor
http://arxiv.org/abs/2004.11514v1
• [cs.CV]Ultra Fast Structure-aware Deep Lane Detection
Zequn Qin, Huanyu Wang, Xi Li
http://arxiv.org/abs/2004.11757v1
• [cs.CV]Understanding when spatial transformer networks do not support invariance, and what to do about it
Lukas Finnveden, Ylva Jansson, Tony Lindeberg
http://arxiv.org/abs/2004.11678v1
• [cs.CV]Vision based hardware-software real-time control system for autonomous landing of an UAV
Krzysztof Blachut, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, Marek Gorgon
http://arxiv.org/abs/2004.11612v1
• [cs.CY]Cyber Security Behaviour In Organisations
Amy Ertan, Georgia Crossland, Claude Heath, David Denny, Rikke Jensen
http://arxiv.org/abs/2004.11768v1
• [cs.CY]Investigating similarities and differences between South African and Sierra Leonean school outcomes using Machine Learning
Henry Wandera, Vukosi Marivate, David Sengeh
http://arxiv.org/abs/2004.11369v1
• [cs.CY]Pill Identification using a Mobile Phone App for Assessing Medication Adherence and Post-Market Drug Surveillance
david Prokop, Joseph Babigumira, Ashleigh Lewis
http://arxiv.org/abs/2004.11479v1
• [cs.CY]Predicted by Orwell: A discourse on the gradual shift in electronic surveillance law
Scott McLachlan
http://arxiv.org/abs/2004.11594v1
• [cs.CY]Responsible AI and Its Stakeholders
Gabriel Lima, Meeyoung Cha
http://arxiv.org/abs/2004.11434v1
• [cs.CY]Simulating and Evaluating Rebalancing Strategies for Dockless Bike-Sharing Systems
Damian Barabonkov, Samantha D’Alonzo, Joseph Pierre, Daniel Kondor, Xiaohu Zhang, Mai Anh Tien
http://arxiv.org/abs/2004.11565v1
• [cs.CY]Social Interactions or Business Transactions? What customer reviews disclose about Airbnb marketplace
Giovanni Quattrone, Antonino Nocera, Licia Capra, Daniele Quercia
http://arxiv.org/abs/2004.11604v1
• [cs.DC]A Survey on Edge Benchmarking
Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal de Lara, Weisong Shi, Christopher Stewart
http://arxiv.org/abs/2004.11725v1
• [cs.DC]Cloud Deployment Tradeoffs for the Analysis of Spatially-Distributed Systems of Internet-of-Things
Christos Tsigkanos, Martin Garriga, Luciano Baresi, Carlo Ghezzi
http://arxiv.org/abs/2004.11428v1
• [cs.DC]Efficient Dispersion on an Anonymous Ring in the Presence of Byzantine Robots
Anisur Rahaman Molla, Kaushik Mondal, William K. Moses Jr
http://arxiv.org/abs/2004.11439v1
• [cs.DC]Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive
Ozgun Akin, Halil Faruk Deniz, Dogukan Nefis, Alp Kiziltan, Altan Cakir
http://arxiv.org/abs/2004.11682v1
• [cs.DC]Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of the HPCChallenge Benchmark Suite
Marius Meyer, Tobias Kenter, Christian Plessl
http://arxiv.org/abs/2004.11059v2
• [cs.DC]High performance SIMD modular arithmetic for polynomial evaluation
Pierre Fortin, Ambroise Fleury, François Lemaire, Michael Monagan
http://arxiv.org/abs/2004.11571v1
• [cs.DC]Revenue Maximization Approaches in IaaS Clouds: Research Challenges and Opportunities
Afzal Badshah, Anwar Ghani, Ali Daud, Anthony Theodore Chronopoulos, Ateeqa Jalal
http://arxiv.org/abs/2004.11707v1
• [cs.DS]Optimal group testing under real world restrictions
Oliver Gebhard, Max Hahn-Klimroth, Olaf Parczyk, Manuel Penschuck, Maurice Rolvien
http://arxiv.org/abs/2004.11860v1
• [cs.GR]Deep Feature-preserving Normal Estimation for Point Cloud Filtering
Dening Lu, Xuequan Lu, Yangxing Sun, Jun Wang
http://arxiv.org/abs/2004.11563v1
• [cs.GT]Jealousy-freeness and other common properties in Fair Division of Mixed Manna
Martin Aleksandrov
http://arxiv.org/abs/2004.11469v1
• [cs.HC]Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs
Sungsoo Ray Hong, Jessica Hullman, Enrico Bertini
http://arxiv.org/abs/2004.11440v1
• [cs.HC]TeamTat: a collaborative text annotation tool
Rezarta Islamaj, Dongseop Kwon, Sun Kim, Zhiyong Lu
http://arxiv.org/abs/2004.11894v1
• [cs.IR]Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
Susen Yang, Yong Liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang
http://arxiv.org/abs/2004.11529v1
• [cs.IR]Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
Hamed Jelodar, Yongli Wang, Rita Orji, Hucheng Huang
http://arxiv.org/abs/2004.11695v1
• [cs.IR]Learning Hierarchical Review Graph Representation for Recommendation
Susen Yang, Yong Liu, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang
http://arxiv.org/abs/2004.11588v1
• [cs.IR]Learning Term Discrimination
Jibril Frej, Phillipe Mulhem, Didier Schwab, Jean-Pierre Chevallet
http://arxiv.org/abs/2004.11759v1
• [cs.IT]Deep Learning Based Packet Detection and Carrier Frequency Offset Estimation in IEEE 802.11ah
Vukan Ninkovic, Dejan Vukobratovic, Aleksandar Valka, Dejan Dumic
http://arxiv.org/abs/2004.11716v1
• [cs.IT]Downlink Spectral Efficiency of Cell-Free Massive MIMO Systems with Multi-antenna Users
Trang C. Mai, Hien Quoc Ngo, Trung Q. Duong
http://arxiv.org/abs/2004.11833v1
• [cs.IT]Hardware Impairments Aware Full-Duplex NOMA Networks Over Rician Fading Channels
Chao Deng, Meng Liu, Xingwang Li, Yuanwei Liu
http://arxiv.org/abs/2004.11750v1
• [cs.IT]Hybrid Combining of Directional Antennas for Periodic Broadcast V2V Communication
Chouaib Bencheikh Lehocine, Erik G. Ström, Fredrik Brännström
http://arxiv.org/abs/2004.11672v1
• [cs.IT]Investigations on $c$-Boomerang Uniformity and Perfect Nonlinearity
Pantelimon Stanica
http://arxiv.org/abs/2004.11859v1
• [cs.IT]Recent Advancements in Defected Ground Structure Based Near-Field Wireless Power Transfer Systems
Kassen Dautov, Mohammad Hashmi, Galymzhan Nauryzbayev, M. Nasimuddin
http://arxiv.org/abs/2004.11673v1
• [cs.LG]A Review of Privacy Preserving Federated Learning for Private IoT Analytics
Christopher Briggs, Zhong Fan, Peter Andras
http://arxiv.org/abs/2004.11794v1
• [cs.LG]A survey on domain adaptation theory
Ievgen Redko, Emilie Morvant, Amaury Habrard, Marc Sebban, Younès Bennani
http://arxiv.org/abs/2004.11829v1
• [cs.LG]Adversarial Machine Learning: An Interpretation Perspective
Ninghao Liu, Mengnan Du, Xia Hu
http://arxiv.org/abs/2004.11488v1
• [cs.LG]Automatic low-bit hybrid quantization of neural networks through meta learning
Tao Wang, Junsong Wang, Chang Xu, Chao Xue
http://arxiv.org/abs/2004.11506v1
• [cs.LG]Concept Drift Detection via Equal Intensity k-means Space Partitioning
Anjin Liu Jie Lu Guangquan Zhang
http://arxiv.org/abs/2004.11587v1
• [cs.LG]Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning
Zhongzhan Huang, Xinjiang Wang, Ping Luo
http://arxiv.org/abs/2004.11627v1
• [cs.LG]Differential Network Learning Beyond Data Samples
Arshdeep Sekhon, Beilun Wang, Zhe Wang, Yanjun Qi
http://arxiv.org/abs/2004.11494v1
• [cs.LG]Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber
http://arxiv.org/abs/2004.11410v1
• [cs.LG]Dropout as an Implicit Gating Mechanism For Continual Learning
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh
http://arxiv.org/abs/2004.11545v1
• [cs.LG]Efficient Neural Architecture for Text-to-Image Synthesis
Douglas M. Souza, Jônatas Wehrmann, Duncan D. Ruiz
http://arxiv.org/abs/2004.11437v1
• [cs.LG]Evolution of Q Values for Deep Q Learning in Stable Baselines
Matthew Andrews, Cemil Dibek, Karina Palyutina
http://arxiv.org/abs/2004.11766v1
• [cs.LG]Federated learning with hierarchical clustering of local updates to improve training on non-IID data
Christopher Briggs, Zhong Fan, Peter Andras
http://arxiv.org/abs/2004.11791v1
• [cs.LG]How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series
Zsigmond Benkő, Tamás Bábel, Zoltán Somogyvári
http://arxiv.org/abs/2004.11468v1
• [cs.LG]Non-Exhaustive, Overlapping Co-Clustering: An Extended Analysis
Joyce Jiyoung Whang, Inderjit S. Dhillon
http://arxiv.org/abs/2004.11530v1
• [cs.LG]Self-Organized Operational Neural Networks with Generative Neurons
Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj
http://arxiv.org/abs/2004.11778v1
• [cs.LG]Self-Paced Deep Reinforcement Learning
Pascal Klink, Carlo D’Eramo, Jan Peters, Joni Pajarinen
http://arxiv.org/abs/2004.11812v1
• [cs.LG]Target specific mining of COVID-19 scholarly articles using one-class approach
Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan
http://arxiv.org/abs/2004.11706v1
• [cs.MM]Upgrading the Newsroom: An Automated Image Selection System for News Articles
Fangyu Liu, Rémi Lebret, Didier Orel, Philippe Sordet, Karl Aberer
http://arxiv.org/abs/2004.11449v1
• [cs.NE]Proving $μ>1$
Laurent Meunier, Yann Chevaleyre, Jeremy Rapin, Clément Royer, Olivier Teytaud
http://arxiv.org/abs/2004.11685v1
• [cs.NE]Variance Reduction for Better Sampling in Continuous Domains
Laurent Meunier, Carola Doerr, Jeremy Rapin, Olivier Teytaud
http://arxiv.org/abs/2004.11687v1
• [cs.PF]Age of Information for Single Buffer Systems with Vacation Server
Jin Xu, I-Hong Hou, Natarajan Gautam
http://arxiv.org/abs/2004.11847v1
• [cs.RO]Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding
Hung The Nguyen, Tung Nguyen, Vu Phi Tran, Matthew Garratt, Kathryn Kasmarik, Sreenatha Anavatti, Michael Barlow, Hussein A. Abbass
http://arxiv.org/abs/2004.11543v1
• [cs.RO]Guided Dyna-Q for Mobile Robot Exploration and Navigation
Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Shiqi Zhang, Keiki Takadama
http://arxiv.org/abs/2004.11456v1
• [cs.RO]PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning
Guillaume Matheron, Nicolas Perrin, Olivier Sigaud
http://arxiv.org/abs/2004.11667v1
• [cs.RO]YCB-M: A Multi-Camera RGB-D Dataset for Object Recognition and 6DoF Pose Estimation
Till Grenzdörffer, Martin Günther, Joachim Hertzberg
http://arxiv.org/abs/2004.11657v1
• [cs.SD]End-to-end speech-to-dialog-act recognition
Viet-Trung Dang, Tianyu Zhao, Sei Ueno, Hirofumi Inaguma, Tatsuya Kawahara
http://arxiv.org/abs/2004.11419v1
• [cs.SE]Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty
Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun
http://arxiv.org/abs/2004.11573v1
• [cs.SI]Assortative-Constrained Stochastic Block Models
Daniel Gribel, Thibaut Vidal, Michel Gendreau
http://arxiv.org/abs/2004.11890v1
• [cs.SI]Characterising User Content on a Multi-lingual Social Network
Pushkal Agarwal, Kiran Garimella, Sagar Joglekar, Nishanth Sastry, Gareth Tyson
http://arxiv.org/abs/2004.11480v1
• [cs.SI]Chronnet: a network-based model for spatiotemporal data analysis
Leonardo N. Ferreira, Didier A. Vega-Oliveros, Moshe Cotacallapa, Manoel F. Cardoso, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
http://arxiv.org/abs/2004.11483v1
• [cs.SI]Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts
Ya-Hui An, Qiang Dong, Quan Yuan, Chao Wang
http://arxiv.org/abs/2004.11662v1
• [cs.SI]Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic
Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse, Doerte Doepfer, Ajay K. Sethi, Juan Francisco Mandujano Reyes, Jonathan Patz, Brian S. Yandell
http://arxiv.org/abs/2004.11430v1
• [cs.SI]Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud
http://arxiv.org/abs/2004.11512v1
• [cs.SI]TeleCrowd: A Crowdsourcing Approach to Create Informal to Formal Text Corpora
Vahid Masoumi, Mostafa Salehi, Hadi Veisi, Golnoush Haddadian, Vahid Ranjbar, Mahsa Sahebdel
http://arxiv.org/abs/2004.11771v1
• [cs.SI]War of the Hashtags: Trending New Hashtags to Override Critical Topics in Social Media
Debashmita Poddar
http://arxiv.org/abs/2004.11451v1
• [econ.EM]Methods for Individual Treatment Assignment: An Application and Comparison for Playlist Generation
Carlos Fernandez, Foster Provost, Jesse Anderton, Benjamin Carterette, Praveen Chandar
http://arxiv.org/abs/2004.11532v1
• [econ.GN]Environmental Economics and Uncertainty: Review and a Machine Learning Outlook
Ruda Zhang, Patrick Wingo, Rodrigo Duran, Kelly Rose, Jennifer Bauer, Roger Ghanem
http://arxiv.org/abs/2004.11780v1
• [eess.IV]A Review of an Old Dilemma: Demosaicking First, or Denoising First?
Qiyu Jin, Gabriele Facciolo, Jean-Michel Morel
http://arxiv.org/abs/2004.11577v1
• [eess.IV]Optic disc and fovea localisation in ultra-widefield scanning laser ophthalmoscope images captured in multiple modalities
Peter Robert Wakeford, Enrico Pellegrini, Gavin Robertson, Michael Verhoek, Alan Duncan Fleming, Jano van Hemert, Ik Siong Heng
http://arxiv.org/abs/2004.11691v1
• [eess.SP]Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain—Machine Interfaces
Tibor Schneider, Xiaying Wang, Michael Hersche, Lukas Cavigelli, Luca Benini
http://arxiv.org/abs/2004.11690v1
• [eess.SP]Robust Transmission Design for Intelligent Reflecting Surface Aided Secure Communication Systems with Imperfect Cascaded CSI
Sheng Hong, Cunhua Pan, Hong Ren, Kezhi Wang, Kok Keong Chai, Arumugam Nallanathan
http://arxiv.org/abs/2004.11580v1
• [eess.SP]Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning
Ahmet M. Elbir, Kumar Vijay Mishra
http://arxiv.org/abs/2004.11637v1
• [eess.SY]Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems
Jan Drgona, Aaron Tuor, Draguna Vrabie
http://arxiv.org/abs/2004.11184v2
• [eess.SY]Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise
Mohammad Afshari, Aditya Mahajan
http://arxiv.org/abs/2004.11856v1
• [math.OC]Nonconvex penalization for sparse neural networks
Konstantin Pieper, Armenak Petrosyan
http://arxiv.org/abs/2004.11515v1
• [math.OC]Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
http://arxiv.org/abs/2004.11709v1
• [math.ST]Dependence uncertainty bounds for the energy score and the multivariate Gini mean difference
Carole Bernard, Alfred Müller
http://arxiv.org/abs/2004.11770v1
• [math.ST]Fiducial Symmetry in Action
Gunnar Taraldsen
http://arxiv.org/abs/2004.11878v1
• [math.ST]The Generalized Oaxaca-Blinder Estimator
Kevin Guo, Guillaume Basse
http://arxiv.org/abs/2004.11615v1
• [physics.soc-ph]Investigating the Relationship between Freeway Rear-end Crash Rates and Macroscopically Modelled Reaction Time
Ishtiak Ahmed, Billy Williams, M. Shoaib Samandar, Gyounghoon Chun
http://arxiv.org/abs/2004.11422v1
• [q-bio.NC]The Two Kinds of Free Energy and the Bayesian Revolution
Sebastian Gottwald, Daniel A. Braun
http://arxiv.org/abs/2004.11763v1
• [q-bio.PE]Evaluation of Pool-based Testing Approaches to Enable Population-wide Screening for COVID-19
Timo de Wolff, Dirk Pflüger, Michael Rehme, Janin Heuer, Martin-Immanuel Bittner
http://arxiv.org/abs/2004.11851v1
• [stat.AP]A Bayesian Multilevel Random-Effects Model for Estimating Noise in Image Sensors
Gabriel Riutort-Mayol, Virgilio Gómez-Rubio, Ángel Marqués-Mateu, José Luis Lerma, Antonio López-Quílez
http://arxiv.org/abs/2004.11849v1
• [stat.CO]Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming
Gabriel Riutort-Mayol, Paul-Christian Bürkner, Michael R. Andersen, Arno Solin, Aki Vehtari
http://arxiv.org/abs/2004.11408v1
• [stat.ME]A Simple Weighted Approach for Instrumental Variable Estimation of Marginal Structural Mean Models
Haben Michael, Yifan Cui, Eric Tchetgen Tchetgen
http://arxiv.org/abs/2004.11769v1
• [stat.ME]A Tree-based Semi-Varying Coefficient Model for the COM-Poisson Distribution
Suneel Babu Chatla, Galit Shmueli
http://arxiv.org/abs/2004.11810v1
• [stat.ME]Estimating the Lasso’s Effective Noise
Johannes Lederer, Michael Vogt
http://arxiv.org/abs/2004.11554v1
• [stat.ME]High-dimensional macroeconomic forecasting using message passing algorithms
Dimitris Korobilis
http://arxiv.org/abs/2004.11485v1
• [stat.ME]Selected Topics in Statistical Computing
Suneel Babu Chatla, Chun-houh Chen, Galit Shmueli
http://arxiv.org/abs/2004.11816v1
• [stat.ME]Semiparametric time series models driven by latent factor
Gisele O. Maia, Wagner Barreto-Souza, Fernando S. Bastos, Hernando Ombao
http://arxiv.org/abs/2004.11470v1
• [stat.ME]Shortcomings of transfer entropy and partial transfer entropy: Extending them to escape the curse of dimensionality
Angeliki Papana, Ariadni Papana-Dagiasis, Elsa Siggiridou
http://arxiv.org/abs/2004.11760v1
• [stat.ML]A Causal Modeling Framework with Stochastic Confounders
Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong
http://arxiv.org/abs/2004.11497v1
• [stat.ML]Robust subgaussian estimation with VC-dimension
Jules Depersin
http://arxiv.org/abs/2004.11734v1
• [stat.ML]Sensor selection on graphs via data-driven node sub-sampling in network time series
Yiye Jiang, Jérémie Bigot, Sofian Maabout
http://arxiv.org/abs/2004.11815v1
若有收获，就点个赞吧
0 人点赞
