今日学术视野(2020.5.21)

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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.FL - 形式语言与自动机理论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 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 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NT - 数论 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.BM - 生物分子 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 q-bio.SC - 亚细胞过程 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]Controlled Language and Baby Turing Test for General Conversational Intelligence • [cs.AI]On the Complexity of Breaking Symmetry • [cs.AI]Safe Learning for Near Optimal Scheduling • [cs.AI]TAIP: an anytime algorithm for allocating student teams to internship programs • [cs.CC]Continuous LWE • cs.CLconstruing Meaning in NLP • [cs.CL]A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks • [cs.CL]Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text • [cs.CL]Are All Languages Created Equal in Multilingual BERT? • [cs.CL]Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain • [cs.CL]Comparing Transformers and RNNs on predicting human sentence processing data • [cs.CL]Context-Based Quotation Recommendation • [cs.CL]Contextual Embeddings: When Are They Worth It? • [cs.CL]Cross-Lingual Word Embeddings for Turkic Languages • [cs.CL]Cross-lingual Transfer Learning for Dialogue Act Recognition • [cs.CL]Embeddings as representation for symbolic music • [cs.CL]Functorial Language Games for Question Answering • [cs.CL]GPT-too: A language-model-first approach for AMR-to-text generation • [cs.CL]Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text • [cs.CL]Improving Accent Conversion with Reference Encoder and End-To-End Text-To-Speech • [cs.CL]Iterative Pseudo-Labeling for Speech Recognition • [cs.CL]Matching Questions and Answers in Dialogues from Online Forums • [cs.CL]MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform • [cs.CL]NEJM-enzh: A Parallel Corpus for English-Chinese Translation in the Biomedical Domain • [cs.CL]Neural Generation of Dialogue Response Timings • [cs.CL]On the Choice of Auxiliary Languages for Improved Sequence Tagging • [cs.CL]P-SIF: Document Embeddings Using Partition Averaging • [cs.CL]Question-Driven Summarization of Answers to Consumer Health Questions • [cs.CL]Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension • [cs.CL]Staying True to Your Word: (How) Can Attention Become Explanation? • [cs.CL]Syntax-guided Controlled Generation of Paraphrases • [cs.CL]Text Classification with Few Examples using Controlled Generalization • [cs.CR]BLAZE: Blazing Fast Privacy-Preserving Machine Learning • [cs.CR]DALock: Distribution Aware Password Throttling • [cs.CR]FrameProv: Towards End-To-End Video Provenance • [cs.CR]Free2Shard: Adaptive-adversary-resistant sharding via Dynamic Self Allocation • [cs.CR]SoS-RPL: Securing Internet of Things Against Sinkhole Attack Using RPL Protocol-Based Node Rating and Ranking Mechanism • [cs.CV]A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize • [cs.CV]Adversarial Attacks for Embodied Agents • [cs.CV]An Auto-Context Deformable Registration Network for Infant Brain MRI • [cs.CV]Associating Multi-Scale Receptive Fields for Fine-grained Recognition • [cs.CV]Built Infrastructure Monitoring and Inspection Using UAVs and Vision-based Algorithms • [cs.CV]CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks • [cs.CV]Cross-filter compression for CNN inference acceleration • [cs.CV]Deep Learning Guided Building Reconstruction from Satellite Imagery-derived Point Clouds • [cs.CV]Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization • [cs.CV]Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation • [cs.CV]Efficient Image Gallery Representations at Scale Through Multi-Task Learning • [cs.CV]Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification • [cs.CV]Focus on defocus: bridging the synthetic to real domain gap for depth estimation • [cs.CV]Holistic Parameteric Reconstruction of Building Models from Point Clouds • [cs.CV]Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks • [cs.CV]Learning from a Lightweight Teacher for Efficient Knowledge Distillation • [cs.CV]Localizing Firearm Carriers by Identifying Human-Object Pairs • [cs.CV]MMFashion: An Open-Source Toolbox for Visual Fashion Analysis • [cs.CV]MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method • [cs.CV]MaskFace: multi-task face and landmark detector • [cs.CV]On the Value of Out-of-Distribution Testing: An Example of Goodhart’s Law • [cs.CV]Patch Attack for Automatic Check-out • [cs.CV]Patch based Colour Transfer using SIFT Flow • [cs.CV]Retrieving and Highlighting Action with Spatiotemporal Reference • [cs.CV]RoadText-1K: Text Detection & Recognition Dataset for Driving Videos • [cs.CV]Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction • [cs.CV]Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt • [cs.CV]Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate • [cs.CV]Two-View Fine-grained Classification of Plant Species • [cs.CV]U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection • [cs.CV]Ultrasound Video Summarization using Deep Reinforcement Learning • [cs.CV]Uncertainty Estimation in Deep 2D Echocardiography Segmentation • [cs.CV]Visual Memorability for Robotic Interestingness via Unsupervised Online Learning • [cs.CY]A comparative study of machine learning techniques used in non-clinical systems for continuous healthcare of independent livings • [cs.CY]An examination of applicability of face recognition sensors in public facilities • [cs.CY]DHP Framework: Digital Health Passports Using Blockchain — Use case on international tourism during the COVID-19 pandemic • [cs.CY]Diversity in News Recommendations • [cs.CY]Flexibility Is Key in Organizing a Global Professional Conference Online: The ICPE 2020 Experience in the COVID-19 Era • [cs.CY]Integer Linear Programming for the Tutor Allocation Problem: A Practical Case in a British University • [cs.CY]Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras • [cs.CY]Sudden Attention Shifts on Wikipedia Following COVID-19 Mobility Restrictions • [cs.CY]The Challenges and Impact of Privacy Policy Comprehension • [cs.CY]VigiFlood: evaluating the impact of a change of perspective on flood vigilance • [cs.DB]Unlocking New York City Crime Insights using Relational Database Embeddings • [cs.DC]Efficient Process-to-Node Mapping Algorithms for Stencil Computations • [cs.DL]Open Access effect on uncitedness: A large-scale study controlling by discipline, source type and visibility • [cs.DS]Faster Deterministic All Pairs Shortest Paths in Congest Model • [cs.DS]Potential gain as a centrality measure • [cs.FL]On the Power of Unambiguity in Büchi Complementation • [cs.HC]Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research • [cs.HC]The Effects of Smartphones on Well-Being: Theoretical Integration and Research Agenda • [cs.HC]Visions, Values, and Videos: Revisiting Envisionings in Service of UbiComp Design for the Home • [cs.IR]Addressing Class-Imbalance Problem in Personalized Ranking • [cs.IR]Controllable Multi-Interest Framework for Recommendation • [cs.IR]Dynamic Knowledge embedding and tracing • [cs.IR]Multi-Modal Summary Generation using Multi-Objective Optimization • [cs.IR]Policy-Aware Unbiased Learning to Rank for Top-k Rankings • [cs.IR]Product Insights: Analyzing Product Intents in Web Search • [cs.IR]Table Search Using a Deep Contextualized Language Model • [cs.IR]Try This Instead: Personalized and Interpretable Substitute Recommendation • [cs.IT]Analysis of Diffusion Based Molecular Communication System with Multiple Transmitters • [cs.IT]Approaching Capacity Without Pilots via Nonlinear Processing at the Edge • [cs.IT]Joint Index Coding and Incentive Design for Selfish Clients • [cs.IT]Optimum Distance Flag Codes from Spreads in Network Coding • [cs.IT]Over-the-Air Computation Systems: Optimal Design with Sum-Power Constraint • [cs.IT]Power Allocation and Link Selection for Multicell Cooperative NOMA Hybrid VLC/RF Systems • [cs.IT]Reinforcement Learning for Caching with Space-Time Popularity Dynamics • [cs.IT]Self-Learning Detector for the Cell-Free Massive MIMO Uplink: The Line-of-Sight Case • [cs.IT]Single-Deletion Single-Substitution Correcting Codes • [cs.IT]Throughput and Age of Information in a Cellular-based IoT Network • [cs.LG]A New Validity Index for Fuzzy-Possibilistic C-Means Clustering • [cs.LG]A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning • [cs.LG]A cognitive based Intrusion detection system • [cs.LG]Algorithmic Bias and Regularisation in Machine Learning • [cs.LG]Applying Genetic Programming to Improve Interpretability in Machine Learning Models • [cs.LG]Assertion Detection in Multi-Label Clinical Text using Scope Localization • [cs.LG]Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization • [cs.LG]Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting • [cs.LG]Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition • [cs.LG]Effective Learning of a GMRF Mixture Model • [cs.LG]Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling • [cs.LG]Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning • [cs.LG]Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy • [cs.LG]ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes • [cs.LG]Information-theoretic analysis for transfer learning • [cs.LG]Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning • [cs.LG]Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data • [cs.LG]Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps • [cs.LG]Normalized Attention Without Probability Cage • [cs.LG]On Intrinsic Dataset Properties for Adversarial Machine Learning • [cs.LG]One Size Fits All: Can We Train One Denoiser for All Noise Levels? • [cs.LG]Out-of-Core GPU Gradient Boosting • [cs.LG]Privileged Information Dropout in Reinforcement Learning • [cs.LG]Quantifying the Uncertainty of Precision Estimates for Rule based Text Classifiers • [cs.LG]Riemannian Proximal Policy Optimization • [cs.LG]Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models • [cs.LG]The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty • [cs.LG]Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering • [cs.LG]k-sums: another side of k-means • [cs.NE]A Diverse Clustering Particle Swarm Optimizer for Dynamic Environment: To Locate and Track Multiple Optima • [cs.NE]Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search • [cs.NE]On Restricting Real-Valued Genotypes in Evolutionary Algorithms • [cs.RO]An Information-Theoretic Approach for Path Planning in Agents with Computational Constraints • [cs.RO]Certifiably Optimal Monocular Hand-Eye Calibration • [cs.RO]FootTile: a Rugged Foot Sensor for Force and Center of Pressure Sensing in Soft Terrain • [cs.RO]Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning • [cs.RO]Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding • [cs.RO]Pass-Fail Criteria for Scenario-Based Testing of Automated Driving Systems • [cs.RO]Real World Morphological Evolution is Feasible • [cs.RO]Robust Robot-assisted Tele-grasping Through Intent-Uncertainty-Aware Planning • [cs.RO]Soft, Round, High Resolution Tactile Fingertip Sensors for Dexterous Robotic Manipulation • [cs.RO]Synchronized Multi-Arm Rearrangement Guided by Mode Graphs with Capacity Constraints • [cs.SD]A Lite Microphone Array Beamforming Scheme with Maximum Signal-to-Noise Ratio Filter • [cs.SD]Acoustic Echo Cancellation by Combining Adaptive Digital Filter and Recurrent Neural Network • [cs.SD]Competitive Wakeup Scheme for Distributed Devices • [cs.SE]Improving the Effectiveness of Traceability Link Recovery using Hierarchical Bayesian Networks • [cs.SE]SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation • [cs.SE]Translating Video Recordings of Mobile App Usages into Replayable Scenarios • [cs.SI]The Effect of Moderation on Online Mental Health Conversations • [cs.SI]Uncovering Spatiotemporal and Semantic Aspects of Tourists Mobility Using Social Sensing • [cs.SI]Weibo-COV: A Large-Scale COVID-19 Tweets Dataset from Webio • [econ.EM]A Flexible Stochastic Conditional Duration Model • [econ.EM]Instrumental Variables with Treatment-Induced Selection: Exact Bias Results • [eess.AS]A New Training Pipeline for an Improved Neural Transducer • [eess.AS]An Effective End-to-End Modeling Approach for Mispronunciation Detection • [eess.AS]Anomalous sound detection based on interpolation deep neural network • [eess.AS]Attention-based Transducer for Online Speech Recognition • [eess.AS]Bayesian Subspace HMM for the Zerospeech 2020 Challenge • [eess.AS]Enhancing Monotonic Multihead Attention for Streaming ASR • [eess.AS]Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces • [eess.AS]Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition • [eess.AS]Improved Noisy Student Training for Automatic Speech Recognition • [eess.AS]Investigations on Phoneme-Based End-To-End Speech Recognition • [eess.AS]Quaternion Neural Networks for Multi-channel Distant Speech Recognition • [eess.AS]Should we hard-code the recurrence concept or learn it instead ? Exploring the Transformer architecture for Audio-Visual Speech Recognition • [eess.AS]The NTNU System at the Interspeech 2020 Non-Native Children’s Speech ASR Challenge • [eess.AS]Vector-Quantized Autoregressive Predictive Coding • [eess.AS]Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge • [eess.AS]Wake Word Detection with Alignment-Free Lattice-Free MMI • [eess.AS]Weak-Attention Suppression For Transformer Based Speech Recognition • [eess.IV]A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency • [eess.IV]AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images • [eess.IV]Advances in Computer Vision in Gastric Cancer: Potential Efficient Tools for Diagnosis • [eess.IV]Deep learning classification of chest x-ray images • [eess.IV]Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images • [eess.IV]Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection • [eess.IV]Measles Rash Image Detection Using Deep Convolutional Neural Network • [eess.IV]On the effectiveness of GAN generated cardiac MRIs for segmentation • [eess.IV]Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies • [eess.IV]Structural Residual Learning for Single Image Rain Removal • [eess.IV]The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report • [eess.IV]Tropical and Extratropical Cyclone Detection Using Deep Learning • [eess.IV]hidden markov random fields and cuckoo search method for medical image segmentation • [eess.SP]AEVB-Comm: An Intelligent CommunicationSystem based on AEVBs • [eess.SP]Achievable Rate Region of MISO Interference Channel Aided by Intelligent Reflecting Surface • [eess.SP]Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation • [eess.SP]Blind Direction-of-Arrival Estimation in Acoustic Vector-Sensor Arrays via Tensor Decomposition and Kullback-Leibler Divergence Covariance Fitting • [eess.SP]Improve robustness of DNN for ECG signal classification:a noise-to-signal ratio perspective • [eess.SP]In-memory Implementation of On-chip Trainable and Scalable ANN for AI/ML Applications • [eess.SP]Pre-print: Radio Identity Verification-based IoT Security Using RF-DNA Fingerprints and SVM • [eess.SP]Satellite Navigation for the Age of Autonomy • [eess.SY]An optimal transport approach to data compression in distributionally robust control • [math.NT]The number of irreducible polynomials over finite fields with vanishing trace and reciprocal trace • [math.OC]Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems • [math.OC]Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes • [math.ST]Bootstrap prediction intervals with asymptotic conditional validity and unconditional guarantees • [math.ST]Increasing Domain Infill Asymptotics for Stochastic Differential Equations Driven by Fractional Brownian Motion • [math.ST]Stable and consistent density-based clustering • [physics.comp-ph]Automating Turbulence Modeling by Multi-Agent Reinforcement Learning • [physics.soc-ph]A simple model for the macroscopic fluctuations of temporal networks • [physics.soc-ph]Spatial analysis and prediction of COVID-19 spread in South Africa after lockdown • [q-bio.BM]Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design — Toward a Unified Approach: State-of-the-Art and Future Directions • [q-bio.NC]Human-like general language processing • [q-bio.PE]Animal social networks — an introduction for complex systems scientists • [q-bio.QM]Diffusivity Estimation for Activator-Inhibitor Models: Theory and Application to Intracellular Dynamics of the Actin Cytoskeleton • [q-bio.SC]Synaptic Channel Modeling for DMC: Neurotransmitter Uptake and Spillover in the Tripartite Synapse • [stat.AP]Distributed lag models to identify the cumulative effects of training and recovery in athletes using multivariate ordinal wellness data • [stat.AP]Group segmentation and heterogeneity in the choice of cooking fuels in post-earthquake Nepal • [stat.AP]Is being the only child harmful to psychological health?: Evidence from an instrumental variable analysis of China’s One-Child Policy • [stat.AP]On the number of bins in a rank histogram • [stat.AP]Optimal survival trees ensemble • [stat.AP]Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide • [stat.CO]On the Theoretical Properties of Exchange Algorithm • [stat.ME]A causal model for subgroup effects in randomized screening trials • [stat.ME]A modified weighted log-rank test for confirmatory trials with a high proportion of treatment switching • [stat.ME]A note on ‘Collider bias undermines our understanding of COVID-19 disease risk and severity’ and how causal Bayesian networks both expose and resolve the problem • [stat.ME]B-CONCORD — A scalable Bayesian high-dimensional precision matrix estimation procedure • [stat.ME]Fast cross-validation for multi-penalty ridge regression • [stat.ME]Generalised regression estimation given imperfectly matched auxiliary data • [stat.ME]Inference about complex relationships using peak height data from DNA mixtures • [stat.ME]Mixture Models and Networks — Overview of Stochastic Blockmodelling • [stat.ME]Multiscale modelling of replicated nonstationary time series • [stat.ME]Network Autocorrelation Models with Egocentric Data • [stat.ME]On some limitations of probabilistic models for dimension-reduction: illustration in the case of one particular probabilistic formulation of PLS • [stat.ME]Simultaneous and Temporal Autoregressive Network Models • [stat.ML]An Analysis of the Adaptation Speed of Causal Models • [stat.ML]Identifying Statistical Bias in Dataset Replication • [stat.ML]Learning and Inference in Imaginary Noise Models • [stat.ML]Optimal Representative Sample Weighting ····································· • [cs.AI]Controlled Language and Baby Turing Test for General Conversational Intelligence Anton Kolonin http://arxiv.org/abs/2005.09280v1 • [cs.AI]On the Complexity of Breaking Symmetry Toby Walsh http://arxiv.org/abs/2005.08954v1 • [cs.AI]Safe Learning for Near Optimal Scheduling Gilles Geeraerts, Shibashis Guha, Guillermo A. Pérez, Jean-François Raskin http://arxiv.org/abs/2005.09253v1 • [cs.AI]TAIP: an anytime algorithm for allocating student teams to internship programs Athina Georgara, Carles Sierra, Juan A. Rodríguez-Aguilar http://arxiv.org/abs/2005.09331v1 • [cs.CC]Continuous LWE Joan Bruna, Oded Regev, Min Jae Song, Yi Tang http://arxiv.org/abs/2005.09595v1 • [cs.CL](Re)construing Meaning in NLP Sean Trott, Tiago Timponi Torrent, Nancy Chang, Nathan Schneider http://arxiv.org/abs/2005.09099v1 • [cs.CL]A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan http://arxiv.org/abs/2005.09606v1 • [cs.CL]Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text Lukas Lange, Anastasiia Iurshina, Heike Adel, Jannik Strötgen http://arxiv.org/abs/2005.09392v1 • [cs.CL]Are All Languages Created Equal in Multilingual BERT? Shijie Wu, Mark Dredze http://arxiv.org/abs/2005.09093v1 • [cs.CL]Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain Lukas Lange, Heike Adel, Jannik Strötgen http://arxiv.org/abs/2005.09397v1 • [cs.CL]Comparing Transformers and RNNs on predicting human sentence processing data Danny Merkx, Stefan L. Frank http://arxiv.org/abs/2005.09471v1 • [cs.CL]Context-Based Quotation Recommendation Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth http://arxiv.org/abs/2005.08319v1 • [cs.CL]Contextual Embeddings: When Are They Worth It? Simran Arora, Avner May, Jian Zhang, Christopher Ré http://arxiv.org/abs/2005.09117v1 • [cs.CL]Cross-Lingual Word Embeddings for Turkic Languages Elmurod Kuriyozov, Yerai Doval, Carlos Gómez-Rodríguez http://arxiv.org/abs/2005.08340v1 • [cs.CL]Cross-lingual Transfer Learning for Dialogue Act Recognition Jiří Martínek, Christophe Cerisara, Pavel Král, Ladislav Lenc http://arxiv.org/abs/2005.09260v1 • [cs.CL]Embeddings as representation for symbolic music Sebastian Garcia-Valencia http://arxiv.org/abs/2005.09406v1 • [cs.CL]Functorial Language Games for Question Answering Giovanni de Felice, Elena Di Lavore, Mario Román, Alexis Toumi http://arxiv.org/abs/2005.09439v1 • [cs.CL]GPT-too: A language-model-first approach for AMR-to-text generation Manuel Mager, Ramon Fernandez Astudillo, Tahira Naseem, Md Arafat Sultan, Young-Suk Lee, Radu Florian, Salim Roukos http://arxiv.org/abs/2005.09123v1 • [cs.CL]Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text Felix Hill, Sona Mokra, Nathaniel Wong, Tim Harley http://arxiv.org/abs/2005.09382v1 • [cs.CL]Improving Accent Conversion with Reference Encoder and End-To-End Text-To-Speech Wenjie Li, Benlai Tang, Xiang Yin, Yushi Zhao, Wei Li, Kang Wang, Hao Huang, Yuxuan Wang, Zejun Ma http://arxiv.org/abs/2005.09271v1 • [cs.CL]Iterative Pseudo-Labeling for Speech Recognition Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Hannun, Gabriel Synnaeve, Ronan Collobert http://arxiv.org/abs/2005.09267v1 • [cs.CL]Matching Questions and Answers in Dialogues from Online Forums Qi Jia, Mengxue Zhang, Shengyao Zhang, Kenny Q. Zhu http://arxiv.org/abs/2005.09276v1 • [cs.CL]MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform Xiang Gao, Michel Galley, Bill Dolan http://arxiv.org/abs/2005.08365v1 • [cs.CL]NEJM-enzh: A Parallel Corpus for English-Chinese Translation in the Biomedical Domain Boxiang Liu, Liang Huang http://arxiv.org/abs/2005.09133v1 • [cs.CL]Neural Generation of Dialogue Response Timings Matthew Roddy, Naomi Harte http://arxiv.org/abs/2005.09128v1 • [cs.CL]On the Choice of Auxiliary Languages for Improved Sequence Tagging Lukas Lange, Heike Adel, Jannik Strötgen http://arxiv.org/abs/2005.09389v1 • [cs.CL]P-SIF: Document Embeddings Using Partition Averaging Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha Talukdar http://arxiv.org/abs/2005.09069v1 • [cs.CL]Question-Driven Summarization of Answers to Consumer Health Questions Max Savery, Asma Ben Abacha, Soumya Gayen, Dina Demner-Fushman http://arxiv.org/abs/2005.09067v1 • [cs.CL]Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu http://arxiv.org/abs/2005.08056v2 • [cs.CL]Staying True to Your Word: (How) Can Attention Become Explanation? Martin Tutek, Jan Šnajder http://arxiv.org/abs/2005.09379v1 • [cs.CL]Syntax-guided Controlled Generation of Paraphrases Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha Talukdar http://arxiv.org/abs/2005.08417v1 • [cs.CL]Text Classification with Few Examples using Controlled Generalization Abhijit Mahabal, Jason Baldridge, Burcu Karagol Ayan, Vincent Perot, Dan Roth http://arxiv.org/abs/2005.08469v1 • [cs.CR]BLAZE: Blazing Fast Privacy-Preserving Machine Learning Arpita Patra, Ajith Suresh http://arxiv.org/abs/2005.09042v1 • [cs.CR]DALock: Distribution Aware Password Throttling Jeremiah Blocki, Wuwei Zhang http://arxiv.org/abs/2005.09039v1 • [cs.CR]FrameProv: Towards End-To-End Video Provenance Mansoor Ahmed-Rengers http://arxiv.org/abs/2005.09199v1 • [cs.CR]Free2Shard: Adaptive-adversary-resistant sharding via Dynamic Self Allocation Ranvir Rana, Sreeram Kannan, David Tse, Pramod Viswanath http://arxiv.org/abs/2005.09610v1 • [cs.CR]SoS-RPL: Securing Internet of Things Against Sinkhole Attack Using RPL Protocol-Based Node Rating and Ranking Mechanism Mina Zaminkar, Reza Fotohi http://arxiv.org/abs/2005.09140v1 • [cs.CV]A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize Nazifa Khan, Oliver A. S. Lyon, Mark Eramian, Ian McQuillan http://arxiv.org/abs/2005.09022v1 • [cs.CV]Adversarial Attacks for Embodied Agents Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao http://arxiv.org/abs/2005.09161v1 • [cs.CV]An Auto-Context Deformable Registration Network for Infant Brain MRI Dongming Wei, Sahar Ahmad, Yunzhi Huang, Lei Ma, Qian Wang, Pew-Thian Yap, Dinggang Shen http://arxiv.org/abs/2005.09230v1 • [cs.CV]Associating Multi-Scale Receptive Fields for Fine-grained Recognition Zihan Ye, Fuyuan Hu, Yin Liu, Zhenping Xia, Fan Lyu, Pengqing Liu http://arxiv.org/abs/2005.09153v1 • [cs.CV]Built Infrastructure Monitoring and Inspection Using UAVs and Vision-based Algorithms Khai Ky Ly, Manh Duong Phung http://arxiv.org/abs/2005.09486v1 • [cs.CV]CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks Maxim Maximov, Ismail Elezi, Laura Leal-Taixé http://arxiv.org/abs/2005.09544v1 • [cs.CV]Cross-filter compression for CNN inference acceleration Fuyuan Lyu, Shien Zhu, Weichen Liu http://arxiv.org/abs/2005.09034v1 • [cs.CV]Deep Learning Guided Building Reconstruction from Satellite Imagery-derived Point Clouds Bo Xu, Xu Zhang, Zhixin Li, Matt Leotta, Shih-Fu Chang, Jie Shan http://arxiv.org/abs/2005.09223v1 • [cs.CV]Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization Peter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski http://arxiv.org/abs/2005.09530v1 • [cs.CV]Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille http://arxiv.org/abs/2005.09120v1 • [cs.CV]Efficient Image Gallery Representations at Scale Through Multi-Task Learning Benjamin Gutelman, Pavel Levin http://arxiv.org/abs/2005.09027v1 • [cs.CV]Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification Bingyu Liu, Zhen Zhao, Zhenpeng Li, Jianan Jiang, Yuhong Guo, Haifeng Shen, Jieping Ye http://arxiv.org/abs/2005.08463v2 • [cs.CV]Focus on defocus: bridging the synthetic to real domain gap for depth estimation Maxim Maximov, Kevin Galim, Laura Leal-Taixé http://arxiv.org/abs/2005.09623v1 • [cs.CV]Holistic Parameteric Reconstruction of Building Models from Point Clouds Zhixin Li, Wenyuan Zhang, Jie Shan http://arxiv.org/abs/2005.09226v1 • [cs.CV]Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma, Liang Liang http://arxiv.org/abs/2005.09147v1 • [cs.CV]Learning from a Lightweight Teacher for Efficient Knowledge Distillation Yuang Liu, Wei Zhang, Jun Wang http://arxiv.org/abs/2005.09163v1 • [cs.CV]Localizing Firearm Carriers by Identifying Human-Object Pairs Abdul Basit, Muhammad Akhtar Munir, Mohsen Ali, Arif Mahmood http://arxiv.org/abs/2005.09329v1 • [cs.CV]MMFashion: An Open-Source Toolbox for Visual Fashion Analysis Xin Liu, Jiancheng Li, Jiaqi Wang, Ziwei Liu http://arxiv.org/abs/2005.08847v2 • [cs.CV]MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method Xixi Xu, Chao Lu, Liang Zhu, Xiangyang Xue, Guanxian Chen, Qi Guo, Yining Lin, Zhijian Zhao http://arxiv.org/abs/2005.09167v1 • [cs.CV]MaskFace: multi-task face and landmark detector Dmitry Yashunin, Tamir Baydasov, Roman Vlasov http://arxiv.org/abs/2005.09412v1 • [cs.CV]On the Value of Out-of-Distribution Testing: An Example of Goodhart’s Law Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel http://arxiv.org/abs/2005.09241v1 • [cs.CV]Patch Attack for Automatic Check-out Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu http://arxiv.org/abs/2005.09257v1 • [cs.CV]Patch based Colour Transfer using SIFT Flow Hana Alghamdi, Rozenn Dahyot http://arxiv.org/abs/2005.09015v1 • [cs.CV]Retrieving and Highlighting Action with Spatiotemporal Reference Seito Kasai, Yuchi Ishikawa, Masaki Hayashi, Yoshimitsu Aoki, Kensho Hara, Hirokatsu Kataoka http://arxiv.org/abs/2005.09183v1 • [cs.CV]RoadText-1K: Text Detection & Recognition Dataset for Driving Videos Sangeeth Reddy, Minesh Mathew, Lluis Gomez, Marcal Rusinol, Dimosthenis Karatzas., C. V. Jawahar http://arxiv.org/abs/2005.09496v1 • [cs.CV]Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction Andreas Eitel, Nico Hauff, Wolfram Burgard http://arxiv.org/abs/2005.09484v1 • [cs.CV]Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt Hangyu Lin, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue http://arxiv.org/abs/2005.09159v1 • [cs.CV]Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate Anand Ramakrishnan, Brian Zylich, Erin Ottmar, Jennifer LoCasale-Crouch, Jacob Whitehill http://arxiv.org/abs/2005.09525v1 • [cs.CV]Two-View Fine-grained Classification of Plant Species Voncarlos M. Araujo, Alceu S. Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich http://arxiv.org/abs/2005.09110v1 • [cs.CV]U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaiane, Martin Jagersand http://arxiv.org/abs/2005.09007v1 • [cs.CV]Ultrasound Video Summarization using Deep Reinforcement Learning Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz http://arxiv.org/abs/2005.09531v1 • [cs.CV]Uncertainty Estimation in Deep 2D Echocardiography Segmentation Lavsen Dahal, Aayush Kafle, Bishesh Khanal http://arxiv.org/abs/2005.09349v1 • [cs.CV]Visual Memorability for Robotic Interestingness via Unsupervised Online Learning Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer http://arxiv.org/abs/2005.08829v2 • [cs.CY]A comparative study of machine learning techniques used in non-clinical systems for continuous healthcare of independent livings Zahid Iqbal, Rafia Ilyas, Waseem Shahzad, Irum Inayat http://arxiv.org/abs/2005.09502v1 • [cs.CY]An examination of applicability of face recognition sensors in public facilities Takuji Takemoto, Takashi Ota, Hiroko Oe http://arxiv.org/abs/2005.09285v1 • [cs.CY]DHP Framework: Digital Health Passports Using Blockchain — Use case on international tourism during the COVID-19 pandemic Constantinos Marios Angelopoulos, Amalia Damianou, Vasilios Katos http://arxiv.org/abs/2005.08922v2 • [cs.CY]Diversity in News Recommendations Abraham Bernstein, Claes de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Moeller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger http://arxiv.org/abs/2005.09495v1 • [cs.CY]Flexibility Is Key in Organizing a Global Professional Conference Online: The ICPE 2020 Experience in the COVID-19 Era Alexandru Iosup, Catia Trubiani, Anne Koziolek, José Nelson Amaral, Andre B. Bondi, Andreas Brunner http://arxiv.org/abs/2005.09085v1 • [cs.CY]Integer Linear Programming for the Tutor Allocation Problem: A Practical Case in a British University Giulia Caselli, Maxence Delorme, Manuel Iori http://arxiv.org/abs/2005.09442v1 • [cs.CY]Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras Isha Ghodgaonkar, Abhinav Goel, Fischer Bordwell, Caleb Tung, Sara Aghajanzadeh, Noah Curran, Ryan Chen, Kaiwen Yu, Sneha Mahapatra, Vishnu Banna, Gore Kao, Kate Lee, Xiao Hu, Nick Eliopolous, Akhil Chinnakotla, Damini Rijhwani, Ashley Kim, Aditya Chakraborty, Mark Daniel Ward, Yung-Hsiang Lu, George K. Thiruvathukal http://arxiv.org/abs/2005.09091v1 • [cs.CY]Sudden Attention Shifts on Wikipedia Following COVID-19 Mobility Restrictions Manoel Horta Ribeiro, Kristina Gligorić, Maxime Peyrard, Florian Lemmerich, Markus Strohmaier, Robert West http://arxiv.org/abs/2005.08505v2 • [cs.CY]The Challenges and Impact of Privacy Policy Comprehension Jana Korunovska, Bernadette Kamleitner, Sarah Spiekermann http://arxiv.org/abs/2005.08967v1 • [cs.CY]VigiFlood: evaluating the impact of a change of perspective on flood vigilance Carole Adam http://arxiv.org/abs/2005.09460v1 • [cs.DB]Unlocking New York City Crime Insights using Relational Database Embeddings Apoorva Nitsure, Rajesh Bordawekar, Jose Neves http://arxiv.org/abs/2005.09617v1 • [cs.DC]Efficient Process-to-Node Mapping Algorithms for Stencil Computations Sascha Hunold, Konrad von Kirchbach, Markus Lehr, Christian Schulz, Jesper Larsson Träff http://arxiv.org/abs/2005.09521v1 • [cs.DL]Open Access effect on uncitedness: A large-scale study controlling by discipline, source type and visibility Pablo Dorta-González, Rafael Suárez-Vega, María Isabel Dorta-González http://arxiv.org/abs/2005.09381v1 • [cs.DS]Faster Deterministic All Pairs Shortest Paths in Congest Model Udit Agarwal, Vijaya Ramachandran http://arxiv.org/abs/2005.09588v1 • [cs.DS]Potential gain as a centrality measure Pasquale De Meo, Mark Levene, Alessandro Provetti http://arxiv.org/abs/2005.08959v1 • [cs.FL]On the Power of Unambiguity in Büchi Complementation Yong Li, Moshe Y. Vardi, Lijun Zhang http://arxiv.org/abs/2005.09125v1 • [cs.HC]Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research Xiangjun Peng, Zhentao Huang, Xu Sun http://arxiv.org/abs/2005.08637v2 • [cs.HC]The Effects of Smartphones on Well-Being: Theoretical Integration and Research Agenda Kostadin Kushlev, Matthew R Leitao http://arxiv.org/abs/2005.09100v1 • [cs.HC]Visions, Values, and Videos: Revisiting Envisionings in Service of UbiComp Design for the Home Tommy Nilsson, Joel E. Fischer, Andy Crabtree, Murray Goulden, Jocelyn Spence, Enrico Costanza http://arxiv.org/abs/2005.08952v1 • [cs.IR]Addressing Class-Imbalance Problem in Personalized Ranking Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, XIao Bai, Xiangliang Zhang http://arxiv.org/abs/2005.09272v1 • [cs.IR]Controllable Multi-Interest Framework for Recommendation Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang http://arxiv.org/abs/2005.09347v1 • [cs.IR]Dynamic Knowledge embedding and tracing Liangbei Xu, Mark A. Davenport http://arxiv.org/abs/2005.09109v1 • [cs.IR]Multi-Modal Summary Generation using Multi-Objective Optimization Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammad Hasanuzzaman http://arxiv.org/abs/2005.09252v1 • [cs.IR]Policy-Aware Unbiased Learning to Rank for Top-k Rankings Harrie Oosterhuis, Maarten de Rijke http://arxiv.org/abs/2005.09035v1 • [cs.IR]Product Insights: Analyzing Product Intents in Web Search Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Maddila http://arxiv.org/abs/2005.08591v2 • [cs.IR]Table Search Using a Deep Contextualized Language Model Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison http://arxiv.org/abs/2005.09207v1 • [cs.IR]Try This Instead: Personalized and Interpretable Substitute Recommendation Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang http://arxiv.org/abs/2005.09344v1 • [cs.IT]Analysis of Diffusion Based Molecular Communication System with Multiple Transmitters Nithin V. Sabu, Abhishek K. Gupta http://arxiv.org/abs/2005.08960v1 • [cs.IT]Approaching Capacity Without Pilots via Nonlinear Processing at the Edge Guido Carlo Ferrante http://arxiv.org/abs/2005.09243v1 • [cs.IT]Joint Index Coding and Incentive Design for Selfish Clients Yu-Pin Hsu, I-Hong Hou, Alex Sprintson http://arxiv.org/abs/2005.08545v2 • [cs.IT]Optimum Distance Flag Codes from Spreads in Network Coding Clementa Alonso-González, Miguel Ángel Navarro-Pérez, Xaro Soler-Escrivà http://arxiv.org/abs/2005.09370v1 • [cs.IT]Over-the-Air Computation Systems: Optimal Design with Sum-Power Constraint Xin Zang, Wanchun Liu, Yonghui Li, Branka Vucetic http://arxiv.org/abs/2005.09139v1 • [cs.IT]Power Allocation and Link Selection for Multicell Cooperative NOMA Hybrid VLC/RF Systems Mohanad Obeed, Hayssam Dahrouj, Anas M. Salhab, Anas Chaaban, Salam A. Zummo, Mohammed-Slim Alouini http://arxiv.org/abs/2005.09143v1 • [cs.IT]Reinforcement Learning for Caching with Space-Time Popularity Dynamics Alireza Sadeghi, Georgios B. Giannakis, Gang Wang, Fatemeh Sheikholeslami http://arxiv.org/abs/2005.09155v1 • [cs.IT]Self-Learning Detector for the Cell-Free Massive MIMO Uplink: The Line-of-Sight Case Giovanni Interdonato, Pål Frenger, Erik G. Larsson http://arxiv.org/abs/2005.09334v1 • [cs.IT]Single-Deletion Single-Substitution Correcting Codes Ilia Smagloy, Lorenz Welter, Antonia Wachter-Zeh, Eitan Yaakobi http://arxiv.org/abs/2005.09352v1 • [cs.IT]Throughput and Age of Information in a Cellular-based IoT Network Praful D. Mankar, Zheng Chen, Mohamed A. Abd-Elmagid, Nikolaos Pappas, Harpreet S. Dhillon http://arxiv.org/abs/2005.09547v1 • [cs.LG]A New Validity Index for Fuzzy-Possibilistic C-Means Clustering Mohammad Hossein Fazel Zarandi, Shahabeddin Sotudian, Oscar Castillo http://arxiv.org/abs/2005.09162v1 • [cs.LG]A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning Shijun Wang, Baocheng Zhu, Lintao Ma, Yuan Qi http://arxiv.org/abs/2005.09194v1 • [cs.LG]A cognitive based Intrusion detection system Siamak Parhizkari, Mohammad Bagher Menhaj http://arxiv.org/abs/2005.09436v1 • [cs.LG]Algorithmic Bias and Regularisation in Machine Learning Padraig Cunningham, Sarah Jane Delany http://arxiv.org/abs/2005.09052v1 • [cs.LG]Applying Genetic Programming to Improve Interpretability in Machine Learning Models Leonardo Augusto Ferreira, Frederico Gadelha Guimarães, Rodrigo Silva http://arxiv.org/abs/2005.09512v1 • [cs.LG]Assertion Detection in Multi-Label Clinical Text using Scope Localization Rajeev Bhatt Ambati, Ahmed Ada Hanifi, Ramya Vunikili, Puneet Sharma, Oladimeji Farri http://arxiv.org/abs/2005.09246v1 • [cs.LG]Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization Yueh-Hua Wu, I-Hau Yeh, David Hu, Hong-Yuan Mark Liao http://arxiv.org/abs/2005.09624v1 • [cs.LG]Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting Hong-Bin Liu, Ickjai Lee http://arxiv.org/abs/2005.09343v1 • [cs.LG]Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition Yan Gao, Titouan Parcollet, Nicholas Lane http://arxiv.org/abs/2005.09310v1 • [cs.LG]Effective Learning of a GMRF Mixture Model Shahaf E. Finder, Eran Treister, Oren Freifeld http://arxiv.org/abs/2005.09030v1 • [cs.LG]Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling Chizhou Liu, Yunzhen Feng, Ranran Wang, Bin Dong http://arxiv.org/abs/2005.09363v1 • [cs.LG]Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning Zhenhui Ye, Yining Chen, Guanghua Song, Bowei Yang http://arxiv.org/abs/2005.09453v1 • [cs.LG]Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi http://arxiv.org/abs/2005.09209v1 • [cs.LG]ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes William Caicedo-Torres, Jairo Gutierrez http://arxiv.org/abs/2005.09284v1 • [cs.LG]Information-theoretic analysis for transfer learning Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu http://arxiv.org/abs/2005.08697v2 • [cs.LG]Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning Jia-Fong Yeh, Hsin-Ying Lee, Bing-Chen Tsai, Yi-Rong Chen, Ping-Chia Huang, Winston H. Hsu http://arxiv.org/abs/2005.09218v1 • [cs.LG]Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville K. Kitson http://arxiv.org/abs/2005.09020v1 • [cs.LG]Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber, Katharina Weitz, Elisabeth André, Ofra Amir http://arxiv.org/abs/2005.08874v2 • [cs.LG]Normalized Attention Without Probability Cage Oliver Richter, Roger Wattenhofer http://arxiv.org/abs/2005.09561v1 • [cs.LG]On Intrinsic Dataset Properties for Adversarial Machine Learning Jeffrey Z. Pan, Nicholas Zufelt http://arxiv.org/abs/2005.09170v1 • [cs.LG]One Size Fits All: Can We Train One Denoiser for All Noise Levels? Abhiram Gnansambandam, Stanley H. Chan http://arxiv.org/abs/2005.09627v1 • [cs.LG]Out-of-Core GPU Gradient Boosting Rong Ou http://arxiv.org/abs/2005.09148v1 • [cs.LG]Privileged Information Dropout in Reinforcement Learning Pierre-Alexandre Kamienny, Kai Arulkumaran, Feryal Behbahani, Wendelin Boehmer, Shimon Whiteson http://arxiv.org/abs/2005.09220v1 • [cs.LG]Quantifying the Uncertainty of Precision Estimates for Rule based Text Classifiers James Nutaro, Ozgur Ozmen http://arxiv.org/abs/2005.09198v1 • [cs.LG]Riemannian Proximal Policy Optimization Shijun Wang, Baocheng Zhu, Chen Li, Mingzhe Wu, James Zhang, Wei Chu, Yuan Qi http://arxiv.org/abs/2005.09195v1 • [cs.LG]Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models Martin Kotuliak, Sandro E. Schoenborn, Andrei Dan http://arxiv.org/abs/2005.09294v1 • [cs.LG]The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty Tal Amir, Ronen Basri, Boaz Nadler http://arxiv.org/abs/2005.09021v1 • [cs.LG]Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng http://arxiv.org/abs/2005.09229v1 • [cs.LG]k-sums: another side of k-means Wan-Lei Zhao, Run-Qing Chen, Hui Ye, Chong-Wah Ngo http://arxiv.org/abs/2005.09485v1 • [cs.NE]A Diverse Clustering Particle Swarm Optimizer for Dynamic Environment: To Locate and Track Multiple Optima Zahid Iqbal, Waseem Shahzad http://arxiv.org/abs/2005.09551v1 • [cs.NE]Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search Mingxiang Chen, Lei Gao, Qichang Chen, Zhixin Liu http://arxiv.org/abs/2005.09330v1 • [cs.NE]On Restricting Real-Valued Genotypes in Evolutionary Algorithms Jørgen Nordmoen, Tønnes Frostad Nygaard, Eivind Samuelsen, Kyrre Glette http://arxiv.org/abs/2005.09380v1 • [cs.RO]An Information-Theoretic Approach for Path Planning in Agents with Computational Constraints Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras http://arxiv.org/abs/2005.09611v1 • [cs.RO]Certifiably Optimal Monocular Hand-Eye Calibration Emmett Wise, Matthew Giamou, Soroush Khoubyarian, Abhinav Grover, Jonathan Kelly http://arxiv.org/abs/2005.08298v2 • [cs.RO]FootTile: a Rugged Foot Sensor for Force and Center of Pressure Sensing in Soft Terrain Felix Ruppert, Alexander Badri-Spröwitz http://arxiv.org/abs/2005.09025v1 • [cs.RO]Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning Jixuan Zhi, Jyh-Ming Lien http://arxiv.org/abs/2005.09476v1 • [cs.RO]Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding Zhiyu Huang, Chen Lv, Yang Xing, Jingda Wu http://arxiv.org/abs/2005.09202v1 • [cs.RO]Pass-Fail Criteria for Scenario-Based Testing of Automated Driving Systems Robert Myers, Zeyn Saigol http://arxiv.org/abs/2005.09417v1 • [cs.RO]Real World Morphological Evolution is Feasible Tonnes F. Nygaard, David Howard, Kyrre Glette http://arxiv.org/abs/2005.09288v1 • [cs.RO]Robust Robot-assisted Tele-grasping Through Intent-Uncertainty-Aware Planning Michael Bowman, Songpo Li, Xiaoli Zhang http://arxiv.org/abs/2005.09240v1 • [cs.RO]Soft, Round, High Resolution Tactile Fingertip Sensors for Dexterous Robotic Manipulation Branden Romero, Filipe Veiga, Edward Adelson http://arxiv.org/abs/2005.09068v1 • [cs.RO]Synchronized Multi-Arm Rearrangement Guided by Mode Graphs with Capacity Constraints Rahul Shome, Kostas E. Bekris http://arxiv.org/abs/2005.09127v1 • [cs.SD]A Lite Microphone Array Beamforming Scheme with Maximum Signal-to-Noise Ratio Filter Lu Ma, Xin Zhao, Pei Zhao, Tengrong Su http://arxiv.org/abs/2005.09238v1 • [cs.SD]Acoustic Echo Cancellation by Combining Adaptive Digital Filter and Recurrent Neural Network Lu Ma, Hua Huang, Pei Zhao, Tengrong Su http://arxiv.org/abs/2005.09237v1 • [cs.SD]Competitive Wakeup Scheme for Distributed Devices Lu Ma, Haiping Zhang, Pei Zhao, Tengrong Su http://arxiv.org/abs/2005.09242v1 • [cs.SE]Improving the Effectiveness of Traceability Link Recovery using Hierarchical Bayesian Networks Kevin Moran, David N. Palacio, Carlos Bernal-Cárdenas, Daniel McCrystal, Denys Poshyvanyk, Chris Shenefiel, Jeff Johnson http://arxiv.org/abs/2005.09046v1 • [cs.SE]SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation Sungmin Kang, Robert Feldt, Shin Yoo http://arxiv.org/abs/2005.09296v1 • [cs.SE]Translating Video Recordings of Mobile App Usages into Replayable Scenarios Carlos Bernal-Cárdenas, Nathan Cooper, Kevin Moran, Oscar Chaparro, Andrian Marcus, Denys Poshyvanyk http://arxiv.org/abs/2005.09057v1 • [cs.SI]The Effect of Moderation on Online Mental Health Conversations David Wadden, Tal August, Qisheng Li, Tim Althoff http://arxiv.org/abs/2005.09225v1 • [cs.SI]Uncovering Spatiotemporal and Semantic Aspects of Tourists Mobility Using Social Sensing Ana P G Ferreira, Thiago H Silva, Antonio A F Loureiro http://arxiv.org/abs/2005.09033v1 • [cs.SI]Weibo-COV: A Large-Scale COVID-19 Tweets Dataset from Webio Yong Hu, Heyan Huang, Anfan Chen, Xian-Ling Mao http://arxiv.org/abs/2005.09174v1 • [econ.EM]A Flexible Stochastic Conditional Duration Model Samuel Gingras, William J. McCausland http://arxiv.org/abs/2005.09166v1 • [econ.EM]Instrumental Variables with Treatment-Induced Selection: Exact Bias Results Felix Elwert, Elan Segarra http://arxiv.org/abs/2005.09583v1 • [eess.AS]A New Training Pipeline for an Improved Neural Transducer Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney http://arxiv.org/abs/2005.09319v1 • [eess.AS]An Effective End-to-End Modeling Approach for Mispronunciation Detection Tien-Hong Lo, Shi-Yan Weng, Hsiu-Jui Chang, Berlin Chen http://arxiv.org/abs/2005.08440v1 • [eess.AS]Anomalous sound detection based on interpolation deep neural network Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi http://arxiv.org/abs/2005.09234v1 • [eess.AS]Attention-based Transducer for Online Speech Recognition Bin Wang, Yan Yin, Hui Lin http://arxiv.org/abs/2005.08497v1 • [eess.AS]Bayesian Subspace HMM for the Zerospeech 2020 Challenge Bolaji Yusuf, Lucas Ondel http://arxiv.org/abs/2005.09282v1 • [eess.AS]Enhancing Monotonic Multihead Attention for Streaming ASR Hirofumi Inaguma, Masato Mimura, Tatsuya Kawahara http://arxiv.org/abs/2005.09394v1 • [eess.AS]Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig http://arxiv.org/abs/2005.09150v1 • [eess.AS]Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition Kohei Matsuura, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara http://arxiv.org/abs/2005.09256v1 • [eess.AS]Improved Noisy Student Training for Automatic Speech Recognition Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le http://arxiv.org/abs/2005.09629v1 • [eess.AS]Investigations on Phoneme-Based End-To-End Speech Recognition Albert Zeyer, Wei Zhou, Thomas Ng, Ralf Schlüter, Hermann Ney http://arxiv.org/abs/2005.09336v1 • [eess.AS]Quaternion Neural Networks for Multi-channel Distant Speech Recognition Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas Lane, Mohamed Morchid http://arxiv.org/abs/2005.08566v2 • [eess.AS]Should we hard-code the recurrence concept or learn it instead ? Exploring the Transformer architecture for Audio-Visual Speech Recognition George Sterpu, Christian Saam, Naomi Harte http://arxiv.org/abs/2005.09297v1 • [eess.AS]The NTNU System at the Interspeech 2020 Non-Native Children’s Speech ASR Challenge Tien-Hong Lo, Fu-An Chao, Shi-Yan Weng, Berlin Chen http://arxiv.org/abs/2005.08433v1 • [eess.AS]Vector-Quantized Autoregressive Predictive Coding Yu-An Chung, Hao Tang, James Glass http://arxiv.org/abs/2005.08392v1 • [eess.AS]Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge Benjamin van Niekerk, Leanne Nortje, Herman Kamper http://arxiv.org/abs/2005.09409v1 • [eess.AS]Wake Word Detection with Alignment-Free Lattice-Free MMI Yiming Wang, Hang Lv, Daniel Povey, Lei Xie, Sanjeev Khudanpur http://arxiv.org/abs/2005.08347v1 • [eess.AS]Weak-Attention Suppression For Transformer Based Speech Recognition Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer http://arxiv.org/abs/2005.09137v1 • [eess.IV]A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Lichi Zhang, Qian Wang http://arxiv.org/abs/2005.09212v1 • [eess.IV]AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu http://arxiv.org/abs/2005.09305v1 • [eess.IV]Advances in Computer Vision in Gastric Cancer: Potential Efficient Tools for Diagnosis Yihua Sun http://arxiv.org/abs/2005.09459v1 • [eess.IV]Deep learning classification of chest x-ray images Mohammad S. Majdi, Khalil N. Salman, Michael F. Morris, Nirav C. Merchant, Jeffrey J. Rodriguez http://arxiv.org/abs/2005.09609v1 • [eess.IV]Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images Sharif Amit Kamran, Alireza Tavakkoli, Stewart Lee Zuckerbrod http://arxiv.org/abs/2005.08094v2 • [eess.IV]Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection Rituparna Sarkar, Suvadip Mukherjee, Elisabeth Labruyère, Jean-Christophe Olivo-Marin http://arxiv.org/abs/2005.09372v1 • [eess.IV]Measles Rash Image Detection Using Deep Convolutional Neural Network Kimberly Glock, Charlie Napier, Andre Louie, Todd Gary, Joseph Gigante, Qingguo Wang http://arxiv.org/abs/2005.09112v1 • [eess.IV]On the effectiveness of GAN generated cardiac MRIs for segmentation Youssef Skandarani, Nathan Painchaud, Pierre-Marc Jodoin, Alain Lalande http://arxiv.org/abs/2005.09026v1 • [eess.IV]Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies Minhyeok Lee, Junhee Seok http://arxiv.org/abs/2005.09165v1 • [eess.IV]Structural Residual Learning for Single Image Rain Removal Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng http://arxiv.org/abs/2005.09228v1 • [eess.IV]The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report Daniel Sonntag, Fabrizio Nunnari, Hans-Jürgen Profitlich http://arxiv.org/abs/2005.09448v1 • [eess.IV]Tropical and Extratropical Cyclone Detection Using Deep Learning Christina Kumler-Bonfanti, Jebb Stewart, David Hall, Mark Govett http://arxiv.org/abs/2005.09056v1 • [eess.IV]hidden markov random fields and cuckoo search method for medical image segmentation EL-Hachemi Guerrout, Ramdane Mahiou, Dominique Michelucci, Boukabene Randa, Ouali Assia http://arxiv.org/abs/2005.09377v1 • [eess.SP]AEVB-Comm: An Intelligent CommunicationSystem based on AEVBs Raghu Vamshi Hemadri, Akshay Rayaluru, Rahul Jashvantbhai Pandya http://arxiv.org/abs/2005.09391v1 • [eess.SP]Achievable Rate Region of MISO Interference Channel Aided by Intelligent Reflecting Surface Wei Huang, Yong Zeng, Yongming Huang http://arxiv.org/abs/2005.09197v1 • [eess.SP]Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou http://arxiv.org/abs/2005.09059v1 • [eess.SP]Blind Direction-of-Arrival Estimation in Acoustic Vector-Sensor Arrays via Tensor Decomposition and Kullback-Leibler Divergence Covariance Fitting Amir Weiss http://arxiv.org/abs/2005.08318v2 • [eess.SP]Improve robustness of DNN for ECG signal classification:a noise-to-signal ratio perspective Linhai Ma, Liang Liang http://arxiv.org/abs/2005.09134v1 • [eess.SP]In-memory Implementation of On-chip Trainable and Scalable ANN for AI/ML Applications Abhash Kumar, Jawar Singh, Sai Manohar Beeraka, Bharat Gupta http://arxiv.org/abs/2005.09526v1 • [eess.SP]Pre-print: Radio Identity Verification-based IoT Security Using RF-DNA Fingerprints and SVM Donald Reising, Joseph Cancelleri, T. Daniel Loveless, Farah Kandah, Anthony Skjellum http://arxiv.org/abs/2005.09503v1 • [eess.SP]Satellite Navigation for the Age of Autonomy Tyler G. R. Reid, Bryan Chan, Ashish Goel, Kazuma Gunning, Brian Manning, Jerami Martin, Andrew Neish, Adrien Perkins, Paul Tarantino http://arxiv.org/abs/2005.09144v1 • [eess.SY]An optimal transport approach to data compression in distributionally robust control Filippo Fabiani, Paul J. Goulart http://arxiv.org/abs/2005.09393v1 • [math.NT]The number of irreducible polynomials over finite fields with vanishing trace and reciprocal trace Yağmur Çakıroğlu, Oğuz Yayla, Emrah Sercan Yılmaz http://arxiv.org/abs/2005.09402v1 • [math.OC]Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems Parvin Nazari, Davoud Ataee Tarzanagh, George Michailidis http://arxiv.org/abs/2005.09261v1 • [math.OC]Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes Rui Gao, Filip Tronarp, Simo Särkkä http://arxiv.org/abs/2005.08275v1 • [math.ST]Bootstrap prediction intervals with asymptotic conditional validity and unconditional guarantees Yunyi Zhang, Dimitris N. Politis http://arxiv.org/abs/2005.09145v1 • [math.ST]Increasing Domain Infill Asymptotics for Stochastic Differential Equations Driven by Fractional Brownian Motion Trisha Maitra, Sourabh Bhattacharya http://arxiv.org/abs/2005.09577v1 • [math.ST]Stable and consistent density-based clustering Alexander Rolle, Luis Scoccola http://arxiv.org/abs/2005.09048v1 • [physics.comp-ph]Automating Turbulence Modeling by Multi-Agent Reinforcement Learning Guido Novati, Hugues Lascombes de Laroussilhe, Petros Koumoutsakos http://arxiv.org/abs/2005.09023v1 • [physics.soc-ph]A simple model for the macroscopic fluctuations of temporal networks Teruyoshi Kobayashi, Mathieu Génois http://arxiv.org/abs/2005.09445v1 • [physics.soc-ph]Spatial analysis and prediction of COVID-19 spread in South Africa after lockdown Mohammad Arashi, Andriette Bekker, Mahdi Salehi, Sollie Millard, Barend Erasmus, Tanita Cronje, Mohammad Golpaygani http://arxiv.org/abs/2005.09596v1 • [q-bio.BM]Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design — Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri, Rafiqul Gani, Fengqi You http://arxiv.org/abs/2005.08968v1 • [q-bio.NC]Human-like general language processing Feng Qi, Guanjun Jiang http://arxiv.org/abs/2005.09175v1 • [q-bio.PE]Animal social networks — an introduction for complex systems scientists Josefine Bohr Brask, Samuel Ellis, Darren P Croft http://arxiv.org/abs/2005.09598v1 • [q-bio.QM]Diffusivity Estimation for Activator-Inhibitor Models: Theory and Application to Intracellular Dynamics of the Actin Cytoskeleton Gregor Pasemann, Sven Flemming, Sergio Alonso, Carsten Beta, Wilhelm Stannat http://arxiv.org/abs/2005.09421v1 • [q-bio.SC]Synaptic Channel Modeling for DMC: Neurotransmitter Uptake and Spillover in the Tripartite Synapse Sebastian Lotter, Arman Ahmadzadeh, Robert Schober http://arxiv.org/abs/2005.09108v1 • [stat.AP]Distributed lag models to identify the cumulative effects of training and recovery in athletes using multivariate ordinal wellness data Erin M. Schliep, Toryn L. J. Schafer, Matthew Hawkey http://arxiv.org/abs/2005.09024v1 • [stat.AP]Group segmentation and heterogeneity in the choice of cooking fuels in post-earthquake Nepal Ratna K. Shrestha, Raunak Shrestha http://arxiv.org/abs/2005.09616v1 • [stat.AP]Is being the only child harmful to psychological health?: Evidence from an instrumental variable analysis of China’s One-Child Policy Shuxi Zeng, Fan Li, Peng Ding http://arxiv.org/abs/2005.09130v1 • [stat.AP]On the number of bins in a rank histogram Claudio Heinrich http://arxiv.org/abs/2005.09018v1 • [stat.AP]Optimal survival trees ensemble Naz Gul, Nosheen Faiz, Dan Brawn, Rafal Kulakowski, Zardad Khan, Berthold Lausen http://arxiv.org/abs/2005.09043v1 • [stat.AP]Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide Kyle P Messier, Matthias Katzfuss http://arxiv.org/abs/2005.09210v1 • [stat.CO]On the Theoretical Properties of Exchange Algorithm Guanyang Wan 5000 g http://arxiv.org/abs/2005.09235v1 • [stat.ME]A causal model for subgroup effects in randomized screening trials Sudipta Saha, Zhihui Liu, Olli Saarela http://arxiv.org/abs/2005.07322v2 • [stat.ME]A modified weighted log-rank test for confirmatory trials with a high proportion of treatment switching José L. Jiménez, Julia Niewczas, Alexander Bore, Carl-Fredrik Burman http://arxiv.org/abs/2005.09213v1 • [stat.ME]A note on ‘Collider bias undermines our understanding of COVID-19 disease risk and severity’ and how causal Bayesian networks both expose and resolve the problem Norman Fenton http://arxiv.org/abs/2005.08608v2 • [stat.ME]B-CONCORD — A scalable Bayesian high-dimensional precision matrix estimation procedure Peyman Jalali, Kshitij Khare, George Michailidis http://arxiv.org/abs/2005.09017v1 • [stat.ME]Fast cross-validation for multi-penalty ridge regression Mark A. van de Wiel, Mirrelijn M. van Nee, Armin Rauschenberger http://arxiv.org/abs/2005.09301v1 • [stat.ME]Generalised regression estimation given imperfectly matched auxiliary data Li-Chun Zhang http://arxiv.org/abs/2005.09600v1 • [stat.ME]Inference about complex relationships using peak height data from DNA mixtures Peter J. Green, Julia Mortera http://arxiv.org/abs/2005.09365v1 • [stat.ME]Mixture Models and Networks — Overview of Stochastic Blockmodelling Giacomo De Nicola, Benjamin Sischka, Göran Kauermann http://arxiv.org/abs/2005.09396v1 • [stat.ME]Multiscale modelling of replicated nonstationary time series Jonathan Embleton, Marina I. Knight, Hernando Ombao http://arxiv.org/abs/2005.09440v1 • [stat.ME]Network Autocorrelation Models with Egocentric Data Daniel K. Sewell http://arxiv.org/abs/2005.09487v1 • [stat.ME]On some limitations of probabilistic models for dimension-reduction: illustration in the case of one particular probabilistic formulation of PLS Lola Etievant, Vivian Viallon http://arxiv.org/abs/2005.09498v1 • [stat.ME]Simultaneous and Temporal Autoregressive Network Models Daniel K. Sewell http://arxiv.org/abs/2005.09488v1 • [stat.ML]An Analysis of the Adaptation Speed of Causal Models Rémi Le Priol, Reza Babanezhad Harikandeh, Yoshua Bengio, Simon Lacoste-Julien http://arxiv.org/abs/2005.09136v1 • [stat.ML]Identifying Statistical Bias in Dataset Replication Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry http://arxiv.org/abs/2005.09619v1 • [stat.ML]Learning and Inference in Imaginary Noise Models Saeed Saremi http://arxiv.org/abs/2005.09047v1 • [stat.ML]Optimal Representative Sample Weighting Shane Barratt, Guillermo Angeris, Stephen Boyd http://arxiv.org/abs/2005.09065v1