astro-ph.GA - 星系天体物理学
cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CG - 计算几何学 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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 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 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.app-ph - 应用物理 physics.optics - 光学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.GA]Study of star clusters in the M83 galaxy with a convolutional neural network
• [cs.AI]Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics
• [cs.AI]Explaining black-box text classifiers for disease-treatment information extraction
• [cs.AI]Influence-Augmented Online Planning for Complex Environments
• [cs.AI]Taming Discrete Integration via the Boon of Dimensionality
• [cs.AR]Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability
• [cs.CG]MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves
• [cs.CL]A Graph Based and Patient Demographics Aware Dialogue System for Disease Diagnosis
• [cs.CL]Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity
• [cs.CL]Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
• [cs.CL]AutoMeTS: The Autocomplete for Medical Text Simplification
• [cs.CL]Better Highlighting: Creating Sub-Sentence Summary Highlights
• [cs.CL]Beyond English-Centric Multilingual Machine Translation
• [cs.CL]Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
• [cs.CL]Cascaded Models With Cyclic Feedback For Direct Speech Translation
• [cs.CL]CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
• [cs.CL]Classifying Syntactic Errors in Learner Language
• [cs.CL]Complaint Identification in Social Media with Transformer Networks
• [cs.CL]Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering
• [cs.CL]Controllable Text Simplification with Explicit Paraphrasing
• [cs.CL]Deciphering Undersegmented Ancient Scripts Using Phonetic Prior
• [cs.CL]Detecting Media Bias in News Articles using Gaussian Bias Distributions
• [cs.CL]DuoRAT: Towards Simpler Text-to-SQL Models
• [cs.CL]Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition
• [cs.CL]FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents
• [cs.CL]Gender Prediction Based on Vietnamese Names with Machine Learning Techniques
• [cs.CL]Generalized Conditioned Dialogue Generation Based on Pre-trained Language Model
• [cs.CL]German’s Next Language Model
• [cs.CL]Grapheme or phoneme? An Analysis of Tacotron’s Embedded Representations
• [cs.CL]Is Retriever Merely an Approximator of Reader?
• [cs.CL]KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision
• [cs.CL]Knowledge Distillation for Improved Accuracy in Spoken Question Answering
• [cs.CL]LT3 at SemEval-2020 Task 9: Cross-lingual Embeddings for Sentiment Analysis of Hinglish Social Media Text
• [cs.CL]Language Representation in Multilingual BERT and its applications to improve Cross-lingual Generalization
• [cs.CL]Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training
• [cs.CL]LemMED: Fast and Effective Neural Morphological Analysis with Short Context Windows
• [cs.CL]Multi-Domain Dialogue State Tracking based on State Graph
• [cs.CL]Multi-Unit Transformer for Neural Machine Translation
• [cs.CL]Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia
• [cs.CL]NeuSpell: A Neural Spelling Correction Toolkit
• [cs.CL]Online Conversation Disentanglement with Pointer Networks
• [cs.CL]Open-Domain Frame Semantic Parsing Using Transformers
• [cs.CL]PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation
• [cs.CL]PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding
• [cs.CL]Pushing the Limits of AMR Parsing with Self-Learning
• [cs.CL]Quasi Error-free Text Classification and Authorship Recognition in a large Corpus of English Literature based on a Novel Feature Set
• [cs.CL]RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering
• [cs.CL]ReSCo-CC: Unsupervised Identification of Key Disinformation Sentences
• [cs.CL]SKATE: A Natural Language Interface for Encoding Structured Knowledge
• [cs.CL]STN4DST: A Scalable Dialogue State Tracking based on Slot Tagging Navigation
• [cs.CL]Semantic Role Labeling as Syntactic Dependency Parsing
• [cs.CL]Sentence Boundary Augmentation For Neural Machine Translation Robustness
• [cs.CL]Stacking Neural Network Models for Automatic Short Answer Scoring
• [cs.CL]TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog
• [cs.CL]Token Drop mechanism for Neural Machine Translation
• [cs.CL]Towards End-to-End In-Image Neural Machine Translation
• [cs.CL]Transition-based Parsing with Stack-Transformers
• [cs.CL]TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog
• [cs.CL]Unsupervised Deep Learning based Multiple Choices Question Answering: Start Learning from Basic Knowledge
• [cs.CL]Using the Full-text Content of Academic Articles to Identify and Evaluate Algorithm Entities in the Domain of Natural Language Processing
• [cs.CL]What makes multilingual BERT multilingual?
• [cs.CR]Mitigating Sybil Attacks on Differential Privacy based Federated Learning
• [cs.CR]Privacy Preserving Set-Based Estimation Using Partially Homomorphic Encryption
• [cs.CR]Transaction Characteristics of Bitcoin
• [cs.CV]2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 2020
• [cs.CV]3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence
• [cs.CV]A Short Note on the Kinetics-700-2020 Human Action Dataset
• [cs.CV]A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation
• [cs.CV]Adaptive Structured Sparse Network for Efficient CNNs with Feature Regularization
• [cs.CV]American Sign Language Identification Using Hand Trackpoint Analysis
• [cs.CV]ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
• [cs.CV]Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
• [cs.CV]Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans
• [cs.CV]Cross-Modal Information Maximization for Medical Imaging: CMIM
• [cs.CV]Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis
• [cs.CV]Deep learning based registration using spatial gradients and noisy segmentation labels
• [cs.CV]Dense Dual-Path Network for Real-time Semantic Segmentation
• [cs.CV]ENSURE: Ensemble Stein’s Unbiased Risk Estimator for Unsupervised Learning
• [cs.CV]Geometry-based Occlusion-Aware Unsupervised Stereo Matching for Autonomous Driving
• [cs.CV]High-Capacity Complex Convolutional Neural Networks For I/Q Modulation Classification
• [cs.CV]Image-Driven Furniture Style for Interactive 3D Scene Modeling
• [cs.CV]In-the-wild Drowsiness Detection from Facial Expressions
• [cs.CV]LCD — Line Clustering and Description for Place Recognition
• [cs.CV]Learning to Guide Local Feature Matches
• [cs.CV]MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow
• [cs.CV]Mutual Information Regularized Identity-aware Facial ExpressionRecognition in Compressed Video
• [cs.CV]Mutual-Supervised Feature Modulation Network for Occluded Pedestrian Detection
• [cs.CV]One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
• [cs.CV]Progressive Batching for Efficient Non-linear Least Squares
• [cs.CV]Reinforcement learning using Deep Q Networks and Q learning accurately localizes brain tumors on MRI with very small training sets
• [cs.CV]Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
• [cs.CV]SCOP: Scientific Control for Reliable Neural Network Pruning
• [cs.CV]Semantics-Guided Representation Learning with Applications to Visual Synthesis
• [cs.CV]Synthetic Expressions are Better Than Real for Learning to Detect Facial Actions
• [cs.CV]TargetDrop: A Targeted Regularization Method for Convolutional Neural Networks
• [cs.CV]Towards Real-time Drowsiness Detection for Elderly Care
• [cs.CV]UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks
• [cs.CV]UFO$^2$: A Unified Framework towards Omni-supervised Object Detection
• [cs.CV]Un
7ab1
derwater Image Color Correction by Complementary Adaptation
• [cs.CV]What is Wrong with Continual Learning in Medical Image Segmentation?
• [cs.CY]Does Platform Migration Compromise Content Moderation? Evidence from r/The_Donald and r/Incels
• [cs.CY]The Effect of the Rooney Rule on Implicit Bias in the Long Term
• [cs.CY]Towards Causal Understanding of Fake News Dissemination
• [cs.DB]Neural Networks for Entity Matching
• [cs.DB]uARMSolver: A framework for Association Rule Mining
• [cs.DC]Anomaly Detection in a Large-scale Cloud Platform
• [cs.DC]Modeling Data Movement Performance on Heterogeneous Architectures
• [cs.DC]Runtime vs Scheduler: Analyzing Dask’s Overheads
• [cs.DC]Scalable HPC and AI Infrastructure for COVID-19 Therapeutics
• [cs.DC]Scalable Shared-Memory Hypergraph Partitioning
• [cs.DC]Sparse Tucker Tensor Decomposition on a Hybrid FPGA-CPU Platform
• [cs.DC]Towards Distributed Software Resilience in Asynchronous Many-Task Programming Models
• [cs.HC]Display object alignment may influence location recall in unexpected ways
• [cs.HC]End User Accounts of Dark Patterns as Felt Manipulation
• [cs.HC]I-nteract 2.0: A Cyber-Physical System to Design 3D Models using Mixed Reality Technologies and Deep Learning for Additive Manufacturing
• [cs.HC]Incandescent Bulb and LED Brake Lights:Novel Analysis of Reaction Times
• [cs.HC]The Anatomical Edutainer
• [cs.IR]A Hub-and-Spoke Model for Content-Moderation-at-Scale on an Information-Sharing Platform
• [cs.IR]Deep learning-based citation recommendation system for patents
• [cs.IR]Fact-Checking at Scale with DimensionRank
• [cs.IR]On Offline Evaluation of Recommender Systems
• [cs.IR]ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine
• [cs.IR]Self-supervised Graph Learning for Recommendation
• [cs.IT]Addicts without Substance? Social Media Addiction when Facebook Shuts Down
• [cs.IT]Asymptotically Optimal and Near-optimal Aperiodic Quasi-Complementary Sequence Sets Based on Florentine Rectangles
• [cs.IT]Beamforming Optimization for IRS-Aided Communications with Transceiver Hardware Impairments
• [cs.IT]Biometric Identification Systems With Noisy Enrollment for Gaussian Source
• [cs.IT]Coded Computing for Master-Aided Distributed Computing Systems
• [cs.IT]Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA systems
• [cs.IT]Invertible Low-Divergence Coding
• [cs.IT]On Compressed Sensing Matrices Breaking the Square-Root Bottleneck
• [cs.IT]On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm
• [cs.IT]On the Decoding Performance of Spatially Coupled LDPC Codes with Sub-block Access
• [cs.IT]On the maximum number of minimal codewords
• [cs.IT]Reconstructing Mixtures of Coded Strings from Prefix and Suffix Compositions
• [cs.IT]Round-Robin is Provably Near-Optimal for Minimizing Age with HARQ over Heterogeneous Unreliable Multiaccess Channels
• [cs.IT]The Secret Arithmetic of Patterns: A General Method for Designing Constrained Codes Based on Lexicographic Indexing
• [cs.LG]A Distributional Robustness Certificate by Randomized Smoothing
• [cs.LG]A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities
• [cs.LG]A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
• [cs.LG]ASCII: ASsisted Classification with Ignorance Interchange
• [cs.LG]Adaptive Gradient Method with Resilience and Momentum
• [cs.LG]Amnesiac Machine Learning
• [cs.LG]Bat
115b
ch Sequential Adaptive Designs for Global Optimization
• [cs.LG]Boosting Gradient for White-Box Adversarial Attacks
• [cs.LG]Complex data labeling with deep learning methods: Lessons from fisheries acoustics
• [cs.LG]Conditional Mutual Information Bound for Meta Generalization Gap
• [cs.LG]Counterfactual Explanations for Machine Learning: A Review
• [cs.LG]Data augmentation as stochastic optimization
• [cs.LG]Data-driven Identification of 2D Partial Differential Equations using extracted physical features
• [cs.LG]Decentralized Deep Learning using Momentum-Accelerated Consensus
• [cs.LG]Deep Hash Embedding for Large-Vocab Categorical Feature Representations
• [cs.LG]Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
• [cs.LG]Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking
• [cs.LG]Deep Reinforcement Learning in Lane Merge Coordination for Connected Vehicles
• [cs.LG]Directed Graph Representation through Vector Cross Product
• [cs.LG]Efficient Similarity-Preserving Unsupervised Learning using Modular Sparse Distributed Codes and Novelty-Contingent Noise
• [cs.LG]Federated Bayesian Optimization via Thompson Sampling
• [cs.LG]GFL: A Decentralized Federated Learning Framework Based On Blockchain
• [cs.LG]High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
• [cs.LG]Implicit recurrent networks: A novel approach to stationary input processing with recurrent neural networks in deep learning
• [cs.LG]Improving Generalization in Reinforcement Learning with Mixture Regularization
• [cs.LG]Incorporating Interpretable Output Constraints in Bayesian Neural Networks
• [cs.LG]Is Batch Norm unique? An empirical investigation and prescription to emulate the best properties of common normalizers without batch dependence
• [cs.LG]Iterative Amortized Policy Optimization
• [cs.LG]Learning Curves for Analysis of Deep Networks
• [cs.LG]Logistic $Q$-Learning
• [cs.LG]Model selection in reconciling hierarchical time series
• [cs.LG]On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
• [cs.LG]On Explaining Decision Trees
• [cs.LG]On Information Asymmetry in Competitive Multi-Agent Reinforcement Learning: Convergence and Optimality
• [cs.LG]On the Global Self-attention Mechanism for Graph Convolutional Networks
• [cs.LG]Online-to-Offline Advertisements as Field Experiments
• [cs.LG]Optimal Off-Policy Evaluation from Multiple Logging Policies
• [cs.LG]Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning
• [cs.LG]Probabilistic Numeric Convolutional Neural Networks
• [cs.LG]Promoting High Diversity Ensemble Learning with EnsembleBench
• [cs.LG]Quantum Tensor Networks, Stochastic Processes, and Weighted Automata
• [cs.LG]Reinforcement Learning for Optimization of COVID-19 Mitigation policies
• [cs.LG]Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification
• [cs.LG]Runtime Safety Assurance Using Reinforcement Learning
• [cs.LG]Safety Verification of Model Based Reinforcement Learning Controllers
• [cs.LG]Tight Second-Order Certificates for Randomized Smoothing
• [cs.LG]Towards Understanding the Dynamics of the First-Order Adversaries
• [cs.MA]A Decentralised Self-Healing Approach for Network Topology Maintenance
• [cs.NE]Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem
• [cs.NE]Improved Runtime Results for Simple Randomised Search Heuristics on Linear Functions with a Uniform Constraint
• [cs.NI]Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions
• [cs.RO]A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection
• [cs.RO]Assembly Sequences Based on Multiple Criteria Against Products with Deformable Parts
• [cs.RO]Autonomous Extension of a Symbolic Mobile Manipulation Skill Set
• [cs.RO]Can We Enable the Drone to be a Filmmaker?
• [cs.RO]DiSCO: Differentiable Scan Context with Orientation
• [cs.RO]Freetures: Localization in Signed Distance Function Maps
• [cs.RO]Improving the Iterative Closest Point Algorithm using Lie Algebra
• [cs.RO]Leveraging Touch Sensors to Improve Mobile Manipulation
• [cs.RO]MADER: Trajectory Planner in Multi-Agent and Dynamic Environments
• [cs.RO]Markov Data-Based Reference Tracking of Tensegrity Morphing Airfoils
• [cs.RO]Radar detection rate comparison through a mobile robot platform at the ZalaZONE proving ground
• [cs.RO]RigidFusion: Robot Localisation and Mapping in Environments with Large Dynamic Rigid Objects
• [cs.RO]Safe planning and control under uncertainty for self-driving
• [cs.RO]Soft Jig-Driven Assembly Operations
• [cs.RO]SyDeBO: Symbolic-Decision-Embedded Bilevel Optimization for Long-Horizon Manipulation in Dynamic Environments
• [cs.RO]Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning
• [cs.SD]Contrastive Learning of General-Purpose Audio Representations
• [cs.SD]Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition
• [cs.SD]Joint Blind Room Acoustic Characterization From Speech And Music Signals Using Convolutional Recurrent Neural Networks
• [cs.SD]Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks
• [cs.SD]Speaker Separation Using Speaker Inventories and Estimated Speech
• [cs.SD]VENOMAVE: Clean-Label Poisoning Against Speech Recognition
• [cs.SD]WaveTransformer: A Novel Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information
• [cs.SI]Analysis of Twitter and YouTube during USelections 2020
• [cs.SI]Balance Maximization in Signed Networks via Edge Deletions
• [cs.SI]Heterogeneous Hypergraph Embedding for Graph Classification
• [cs.SI]Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata
• [cs.SI]Misleading Repurposing on Twitter
• [cs.SI]Summarizing graphs using the configuration model
• [cs.SI]World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
• [econ.EM]Worst-case sensitivity
• [eess.AS]BERT for Joint Multichannel Speech Dereverberation with Spatial-aware Tasks
• [eess.AS]Detection of COVID-19 through the analysis of vocal fold oscillations
• [eess.AS]FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization
• [eess.AS]Knowledge Transfer for Efficient On-device False Trigger Mitigation
• [eess.AS]Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm
• [eess.AS]Towards End-to-End Training of Automatic Speech Recognition for Nigerian Pidgin
• [eess.IV]Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction
• [eess.IV]Exploring Overcomplete Representations for Single Image Deraining using CNNs
• [eess.IV]Learning Integrodifferential Models for Image Denoising
• [eess.SP]Minimum Mean-Squared-Error Autocorrelation Processing in Coprime Arrays
• [math.NA]On Application of Block Kaczmarz Methods in Matrix Factorization
• [math.OC]Coordinated Online Learning for Multi-Agent Systems with Coupled Constraints and Perturbed Utility Observations
• [math.OC]Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems
• [math.OC]Optimizing Planning Service Territories by Dividing Into Compact Several Sub-areas Using Binary K-means Clustering According Vehicle Constraints
• [math.PR]Optimal Recovery of Block Models with $q$ Communities
• [math.ST]A Dynamic Taylor’s Law
• [math.ST]The entropy based goodness of fit tests for generalized von Mises-Fisher distributions and beyond
• [physics.app-ph]Highly-scalable stochastic neuron based on Ovonic Threshold Switch (OTS) and its applications in Restricted Boltzmann Machine (RBM)
• [physics.optics]Recurrent neural network-based volumetric fluorescence microscopy
• [quant-ph]Pseudocodeword-based Decoding of Quantum Color Codes
• [quant-ph]Ultimate Limits of Thermal Imaging
• [stat.AP]A Bayesian Hidden Semi-Markov Model with Covariate-Dependent State Duration Parameters for High-Frequency Data from Wearable Devices
• [stat.AP]Reliability of meta-analysis of an association between ambient air quality and development of asthma later in life
• [stat.ME]Conditional Density Estimation via Weighted Logistic Regressions
• [stat.ME]Elo-MOV rating algorithm: Generalization of the Elo algorithm by modelling the discretized Margin of Victory
• [stat.ME]Gene-gene interaction analysis incorporating network information via a structured Bayesian approach
• [stat.ME]Improved inference for areal unit count data using graph-based optimisation
• [stat.ME]Introducing the treatment hierarchy question in network meta-analysis
• [stat.ME]On Robust Probabilistic Principal Component Analysis using Multivariate $t$-Distributions
• [stat.ME]Simulations for a Q statistic with constant weights to assess heterogeneity in meta-analysis of mean difference
• [stat.ME]Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate Control
• [stat.ML]Bayesian Algorithms for Decentralized Stochastic Bandits
• [stat.ML]Bayesian Attention Modules
• [stat.ML]How to Control the Error Rates of Binary Classifiers
• [stat.ML]Regularised Least-Squares Regression with Infinite-Dimensional Output Space
• [stat.ML]Riemannian Langevin Algorithm for Solving Semidefinite Programs
• [stat.ML]Tensor Train Random Projection
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• [astro-ph.GA]Study of star clusters in the M83 galaxy with a convolutional neural network
J. Bialopetravičius, D. Narbutis
http://arxiv.org/abs/2010.11126v1
• [cs.AI]Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics
Tiago Mota, Mohan Sridharan
http://arxiv.org/abs/2010.10645v1
• [cs.AI]Explaining black-box text classifiers for disease-treatment information extraction
Milad Moradi, Matthias Samwald
http://arxiv.org/abs/2010.10873v1
• [cs.AI]Influence-Augmented Online Planning for Complex Environments
Jinke He, Miguel Suau, Frans A. Oliehoek
http://arxiv.org/abs/2010.11038v1
• [cs.AI]Taming Discrete Integration via the Boon of Dimensionality
Jeffrey M. Dudek, Dror Fried, Kuldeep S. Meel
http://arxiv.org/abs/2010.10724v1
• [cs.AR]Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability
Maciej Besta, Syed Minhaj Hassan, Sudhakar Yalamanchili, Rachata Ausavarungnirun, Onur Mutlu, Torsten Hoefler
http://arxiv.org/abs/2010.10683v1
• [cs.CG]MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves
Jesus Tordesillas, Jonathan P. How
http://arxiv.org/abs/2010.10726v1
• [cs.CL]A Graph Based and Patient Demographics Aware Dialogue System for Disease Diagnosis
Xinyan Zhao, Liangwei Chen, Huanhuan Chen
http://arxiv.org/abs/2010.10699v1
• [cs.CL]Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity
Wei-Fan Chen, Khalid Al-Khatib, Henning Wachsmuth, Benno Stein
http://arxiv.org/abs/2010.10652v1
• [cs.CL]Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
Elena Voita, Rico Sennrich, Ivan Titov
http://arxiv.org/abs/2010.10907v1
• [cs.CL]AutoMeTS: The Autocomplete for Medical Text Simplification
Hoang Van, David Kauchak, Gondy Leroy
http://arxiv.org/abs/2010.10573v1
• [cs.CL]Better Highlighting: Creating Sub-Sentence Summary Highlights
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
http://arxiv.org/abs/2010.10566v1
• [cs.CL]Beyond English-Centric Multilingual Machine Translation
Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, Armand Joulin
http://arxiv.org/abs/2010.11125v1
• [cs.CL]Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
Laurel Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Re
http://arxiv.org/abs/2010.10363v2
• [cs.CL]Cascaded Models With Cyclic Feedback For Direct Speech Translation
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
http://arxiv.org/abs/2010.11153v1
• [cs.CL]CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, Hiroshi Noji, Pierre Zweigenbaum, Junichi Tsujii
http://arxiv.org/abs/2010.10392v2
• [cs.CL]Classifying Syntactic Errors in Learner Language
Leshem Choshen, Dmitry Nikolaev, Yevgeni Berzak, Omri Abend
http://arxiv.org/abs/2010.11032v1
• [cs.CL]Complaint Identification in Social Media with Transformer Networks
Mali Jin, Nikolaos Aletras
http://arxiv.org/abs/2010.10910v1
• [cs.CL]Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering
Chenyu You, Nuo Chen, Yuexian Zou
http://arxiv.org/abs/2010.11066v1
• [cs.CL]Controllable Text Simplification with Explicit Paraphrasing
Mounica Maddela, Fernando Alva-Manchego, Wei Xu
http://arxiv.org/abs/2010.11004v1
• [cs.CL]Deciphering Undersegmented Ancient Scripts Using Phonetic Prior
Jiaming Luo, Frederik Hartmann, Enrico Santus, Yuan Cao, Regina Barzilay
http://arxiv.org/abs/2010.11054v1
• [cs.CL]Detecting Media Bias in News Articles using Gaussian Bias Distributions
Wei-Fan Chen, Khalid Al-Khatib, Benno Stein, Henning Wachsmuth
http://arxiv.org/abs/2010.10649v1
• [cs.CL]DuoRAT: Towards Simpler Text-to-SQL Models
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal
http://arxiv.org/abs/2010.11119v1
• [cs.CL]Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition
Anand Panchbhai, Tommaso Soru, Edgard Marx
http://arxiv.org/abs/2010.10900v1
• [cs.CL]FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents
Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata
http://arxiv.org/abs/2010.10755v1
• [cs.CL]Gender Prediction Based on Vietnamese Names with Machine Learning Techniques
Huy Quoc To, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan Nguyen
http://arxiv.org/abs/2010.10852v1
• [cs.CL]Generalized Conditioned Dialogue Generation Based on Pre-trained Language Model
Yan Zeng, Jian-Yun Nie
http://arxiv.org/abs/2010.11140v1
• [cs.CL]German’s Next Language Model
Branden Chan, Stefan Schweter, Timo Möller
http://arxiv.org/abs/2010.10906v1
• [cs.CL]Grapheme or phoneme? An Analysis of Tacotron’s Embedded Representations
Antoine Perquin, Erica Cooper, Junichi Yamagishi
http://arxiv.org/abs/2010.10694v1
• [cs.CL]Is Retriever Merely an Approximator of Reader?
Sohee Yang, Minjoon Seo
http://arxiv.org/abs/2010.10999v1
• [cs.CL]KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
http://arxiv.org/abs/2010.10833v1
• [cs.CL]Knowledge Distillation for Improved Accuracy in Spoken Question Answering
Chenyu You, Nuo Chen, Yuexian Zou
http://arxiv.org/abs/2010.11067v1
• [cs.CL]LT3 at SemEval-2020 Task 9: Cross-lingual Embeddings for Sentiment Analysis of Hinglish Social Media Text
Pranaydeep Singh, Els Lefever
http://arxiv.org/abs/2010.11019v1
• [cs.CL]Language Representation in Multilingual BERT and its applications to improve Cross-lingual Generalization
Chi-Liang Liu, Tsung-Yuan Hsu, Yung-Sung Chuang, Hung-yi Lee
http://arxiv.org/abs/2010.10041v2
• [cs.CL]Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training
Yingyao Wang, Junwei Bao, Guangyi Liu, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao
http://arxiv.org/abs/2010.10894v1
• [cs.CL]LemMED: Fast and Effective Neural Morphological Analysis with Short Context Windows
Aibek Makazhanov, Sharon Goldwater, Adam Lopez
http://arxiv.org/abs/2010.10921v1
• [cs.CL]Multi-Domain Dialogue State Tracking based on State Graph
Yan Zeng, Jian-Yun Nie
http://arxiv.org/abs/2010.11137v1
• [cs.CL]Multi-Unit Transformer for Neural Machine Translation
Jianhao Yan, Fandong Meng, Jie Zhou
http://arxiv.org/abs/2010.10743v1
• [cs.CL]Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia
Chan Young Park, Xinru Yan, Anjalie Field, Yulia Tsvetkov
http://arxiv.org/abs/2010.10820v1
• [cs.CL]NeuSpell: A Neural Spelling Correction Toolkit
Sai Muralidhar Jayanthi, Danish Pruthi, Graham Neubig
http://arxiv.org/abs/2010.11085v1
• [cs.CL]Online Conversation Disentanglement with Pointer Networks
Tao Yu, Shafiq Joty
http://arxiv.org/abs/2010.11080v1
• [cs.CL]Open-Domain Frame Semantic Parsing Using Transformers
Aditya Kalyanpur, Or Biran, Tom Breloff, Jennifer Chu-Carroll, Ariel Diertani, Owen Rambow, Mark Sammons
http://arxiv.org/abs/2010.10998v1
• [cs.CL]PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation
Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
http://arxiv.org/abs/2010.10866v1
• [cs.CL]PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding
Zhao Jinman, Shawn Zhong, Xiaomin Zhang, Yingyu Liang
http://arxiv.org/abs/2010.10813v1
• [cs.CL]Pushing the Limits of AMR Parsing with Self-Learning
Young-Suk Lee, Ramon Fernandez Astudillo, Tahira Naseem, Revanth Gangi Reddy, Radu Florian, Salim Roukos
http://arxiv.org/abs/2010.10673v1
• [cs.CL]Quasi Error-free Text Classification and Authorship Recognition in a large Corpus of English Literature based on a Novel Feature Set
Arthur M. Jacobs, Annette Kinder
http://arxiv.org/abs/2010.10801v1
• [cs.CL]RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering
Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih
http://arxiv.org/abs/2010.10757v1
• [cs.CL]ReSCo-CC: Unsupervised Identification of Key Disinformation Sentences
Soumya Suvra Ghosal, Deepak P, Anna Jurek-Loughrey
http://arxiv.org/abs/2010.10836v1
• [cs.CL]SKATE: A Natural Language Interface for Encoding Structured Knowledge
Clifton McFate, Aditya Kalyanpur, Dave Ferrucci, Andrea Bradshaw, Ariel Diertani, David Melville, Lori Moon
http://arxiv.org/abs/2010.10597v1
• [cs.CL]STN4DST: A Scalable Dialogue State Tracking based on Slot Tagging Navigation
Puhai Yang, Heyan Huang, Xianling Mao
http://arxiv.org/abs/2010.10811v1
• [cs.CL]Semantic Role Labeling as Syntactic Dependency Parsing
Tianze Shi, Igor Malioutov, Ozan İrsoy
http://arxiv.org/abs/2010.11170v1
• [cs.CL]Sentence Boundary Augmentation For Neural Machine Translation Robustness
Daniel Li, Te I, Naveen Arivazhagan, Colin Cherry, Dirk Padfield
http://arxiv.org/abs/2010.11132v1
• [cs.CL]Stacking Neural Network Models for Automatic Short Answer Scoring
Rian Adam Rajagede, Rochana Prih Hastuti
http://arxiv.org/abs/2010.11092v1
• [cs.CL]TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog
Wubo Li, Dongwei Jiang, Wei Zou, Xiangang Li
http://arxiv.org/abs/2010.10839v1
• [cs.CL]Token Drop mechanism for Neural Machine Translation
Huaao Zhang, Shigui Qiu, Xiangyu Duan, Min Zhang
http://arxiv.org/abs/2010.11018v1
• [cs.CL]Towards End-to-End In-Image Neural Machine Translation
Elman Mansimov, Mitchell Stern, Mia Chen, Orhan Firat, Jakob Uszkoreit, Puneet Jain
http://arxiv.org/abs/2010.10648v1
• [cs.CL]Transition-based Parsing with Stack-Transformers
Ramon Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian
http://arxiv.org/abs/2010.10669v1
• [cs.CL]TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog
Erik Ekstedt, Gabriel Skantze
http://arxiv.org/abs/2010.10874v1
• [cs.CL]Unsupervised Deep Learning based Multiple Choices Question Answering: Start Learning from Basic Knowledge
Chi-Liang Liu, Hung-yi Lee
http://arxiv.org/abs/2010.11003v1
• [cs.CL]Using the Full-text Content of Academic Articles to Identify and Evaluate Algorithm Entities in the Domain of Natural Language Processing
Yuzhuo Wang, Chengzhi Zhang
http://arxiv.org/abs/2010.10817v1
• [cs.CL]What makes multilingual BERT multilingual?
Chi-Liang Liu, Tsung-Yuan Hsu, Yung-Sung Chuang, Hung-yi Lee
http://arxiv.org/abs/2010.10938v1
• [cs.CR]Mitigating Sybil Attacks on Differential Privacy based Federated Learning
Yupeng Jiang, Yong Li, Yipeng Zhou, Xi Zheng
http://arxiv.org/abs/2010.10572v1
• [cs.CR]Privacy Preserving Set-Based Estimation Using Partially Homomorphic Encryption
Amr Alanwar, Victor Gassmann, Xingkang He, Hazem Said, Henrik Sandberg, Karl Henrik Johansson, Matthias Althoff
http://arxiv.org/abs/2010.11097v1
• [cs.CR]Transaction Characteristics of Bitcoin
Befekadu G. Gebraselase, Bjarne E. Helvik, Yuming Jiang
http://arxiv.org/abs/2010.10858v1
• [cs.CV]2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 2020
Kai Jiang, Xiangyue Liu, Zheng Ju, Xiang Luo
http://arxiv.org/abs/2010.10957v1
• [cs.CV]3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence
Hao Huang, Lingjing Wang, Xiang Li, Yi Fang
http://arxiv.org/abs/2010.11159v1
• [cs.CV]A Short Note on the Kinetics-700-2020 Human Action Dataset
Lucas Smaira, João Carreira, Eric Noland, Ellen Clancy, Amy Wu, Andrew Zisserman
http://arxiv.org/abs/2010.10864v1
• [cs.CV]A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation
Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo andía, Cristian Tejos, Claudia Prieto, Daniel Capurro
http://arxiv.org/abs/2010.10563v1
• [cs.CV]Adaptive Structured Sparse Network for Efficient CNNs with Feature Regularization
Chen Tang, Wenyu Sun, Zhuqing Yuan, Guijin Wang, Yongpan Liu
http://arxiv.org/abs/2010.11083v1
• [cs.CV]American Sign Language Identification Using Hand Trackpoint Analysis
Yugam Bajaj, Puru Malhotra
http://arxiv.org/abs/2010.10590v1
• [cs.CV]ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
Ran Xu, Chen-lin Zhang, Pengcheng Wang, Jayoung Lee, Subrata Mitra, Somali Chaterji, Yin Li, Saurabh Bagchi
http://arxiv.org/abs/2010.10754v1
• [cs.CV]Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu
http://arxiv.org/abs/2010.11158v1
• [cs.CV]Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
http://arxiv.org/abs/2010.10612v1
• [cs.CV]Cross-Modal Information Maximization for Medical Imaging: CMIM
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di Jorio, Margaux Luck, Devon Hjelm, Yoshua Bengio
http://arxiv.org/abs/2010.10593v1
• [cs.CV]Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis
Vishal Mandal, Abdul Rashid Mussah, Yaw Adu-Gyamfi
http://arxiv.org/abs/2010.10681v1
• [cs.CV]Deep learning based registration using spatial gradients and noisy segmentation labels
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
http://arxiv.org/abs/2010.10897v1
• [cs.CV]Dense Dual-Path Network for Real-time Semantic Segmentation
Xinneng Yang, Yan Wu, Junqiao Zhao, Feilin Liu
http://arxiv.org/abs/2010.10778v1
• [cs.CV]ENSURE: Ensemble Stein’s Unbiased Risk Estimator for Unsupervised Learning
Hemant Kumar Aggarwal, Mathews Jacob
http://arxiv.org/abs/2010.10631v1
• [cs.CV]Geometry-based Occlusion-Aware Unsupervised Stereo Matching for Autonomous Driving
Liang Peng, Dan Deng, Deng Cai
http://arxiv.org/abs/2010.10700v1
• [cs.CV]High-Capacity Complex Convolutional Neural Networks For I/Q Modulation Classification
Jakob Krzyston, Rajib Bhattacharjea, Andrew Stark
http://arxiv.org/abs/2010.10717v1
• [cs.CV]Image-Driven Furniture Style for Interactive 3D Scene Modeling
Tomer Weiss, Ilkay Yildiz, Nitin Agarwal, Esra Ataer-Cansizoglu, Jae-Woo Choi
http://arxiv.org/abs/2010.10557v1
• [cs.CV]In-the-wild Drowsiness Detection from Facial Expressions
Ajjen Joshi, Survi Kyal, Sandipan Banerjee, Taniya Mishra
http://arxiv.org/abs/2010.11162v1
• [cs.CV]LCD — Line Clustering and Description for Place Recognition
Felix Taubner, Florian Tschopp, Tonci Novkovic, Roland Siegwart, Fadri Furrer
http://arxiv.org/abs/2010.10867v1
• [cs.CV]Learning to Guide Local Feature Matches
François Darmon, Mathieu Aubry, Pascal Monasse
http://arxiv.org/abs/2010.10959v1
• [cs.CV]MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow
René Schuster, Christian Unger, Didier Stricker
http://arxiv.org/abs/2010.10842v1
• [cs.CV]Mutual Information Regularized Identity-aware Facial ExpressionRecognition in Compressed Video
Xiaofeng Liu, Linghao Jin, Xu Han, Jane You
http://arxiv.org/abs/2010.10637v1
• [cs.CV]Mutual-Supervised Feature Modulation Network for Occluded Pedestrian Detection
Ye He, Chao Zhu, Xu-Cheng Yin
http://arxiv.org/abs/2010.10744v1
• [cs.CV]One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
Christian Bartz, Joseph Bethge, Haojin Yang, Christoph Meinel
http://arxiv.org/abs/2010.11113v1
• [cs.CV]Progressive Batching for Efficient Non-linear Least Squares
Huu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford
http://arxiv.org/abs/2010.10968v1
• [cs.CV]Reinforcement learning using Deep Q Networks and Q learning accurately localizes brain tumors on MRI with very small training sets
Joseph N Stember, Hrithwik Shalu
http://arxiv.org/abs/2010.10763v1
• [cs.CV]Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Itai Gat, Idan Schwartz, Alexander Schwing, Tamir Hazan
http://arxiv.org/abs/2010.10802v1
• [cs.CV]SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
http://arxiv.org/abs/2010.10732v1
• [cs.CV]Semantics-Guided Representation Learning with Applications to Visual Synthesis
Jia-Wei Yan, Ci-Siang Lin, Fu-En Yang, Yu-Jhe Li, Yu-Chiang Frank Wang
http://arxiv.org/abs/2010.10772v1
• [cs.CV]Synthetic Expressions are Better Than Real for Learning to Detect Facial Actions
Koichiro Niinuma, Itir Onal Ertugrul, Jeffrey F Cohn, László A Jeni
http://arxiv.org/abs/2010.10979v1
• [cs.CV]TargetDrop: A Targeted Regularization Method for Convolutional Neural Networks
Hui Zhu, Xiaofang Zhao
http://arxiv.org/abs/2010.10716v1
• [cs.CV]Towards Real-time Drowsiness Detection for Elderly Care
Boris Bačić, Jason Zhang
http://arxiv.org/abs/2010.10771v1
• [cs.CV]UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks
Weikai Tan, Dedong Zhang, Lingfei Ma, Ying Li, Lanying Wang, Jonathan Li
http://arxiv.org/abs/2010.11106v1
• [cs.CV]UFO$^2$: A Unified Framework towards Omni-supervised Object Detection
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
http://arxiv.org/abs/2010.10804v1
• [cs.CV]Un
7ab1
derwater Image Color Correction by Complementary Adaptation
Yuchen He
http://arxiv.org/abs/2010.10748v1
• [cs.CV]What is Wrong with Continual Learning in Medical Image Segmentation?
Camila Gonzalez, Georgios Sakas, Anirban Mukhopadhyay
http://arxiv.org/abs/2010.11008v1
• [cs.CY]Does Platform Migration Compromise Content Moderation? Evidence from r/The_Donald and r/Incels
Manoel Horta Ribeiro, Shagun Jhaver, Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Robert West
http://arxiv.org/abs/2010.10397v2
• [cs.CY]The Effect of the Rooney Rule on Implicit Bias in the Long Term
L. Elisa Celis, Chris Hays, Anay Mehrotra, Nisheeth K. Vishnoi
http://arxiv.org/abs/2010.10992v1
• [cs.CY]Towards Causal Understanding of Fake News Dissemination
Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
http://arxiv.org/abs/2010.10580v1
• [cs.DB]Neural Networks for Entity Matching
Nils Barlaug, Jon Atle Gulla
http://arxiv.org/abs/2010.11075v1
• [cs.DB]uARMSolver: A framework for Association Rule Mining
Iztok Fister, Iztok Fister Jr
http://arxiv.org/abs/2010.10884v1
• [cs.DC]Anomaly Detection in a Large-scale Cloud Platform
Mohammad Saiful Islam, William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy Miranskyy
http://arxiv.org/abs/2010.10966v1
• [cs.DC]Modeling Data Movement Performance on Heterogeneous Architectures
Amanda Bienz, Luke N. Olson, William D. Gropp, Shelby Lockhart
http://arxiv.org/abs/2010.10378v2
• [cs.DC]Runtime vs Scheduler: Analyzing Dask’s Overheads
Stanislav Böhm, Jakub Beránek
http://arxiv.org/abs/2010.11105v1
• [cs.DC]Scalable HPC and AI Infrastructure for COVID-19 Therapeutics
Hyungro Lee, Andre Merzky, Li Tan, Mikhail Titov, Matteo Turilli, Dario Alfe, Agastya Bhati, Alex Brace, Austin Clyde, Peter Coveney, Heng Ma, Arvind Ramanathan, Rick Stevens, Anda Trifan, Hubertus Van Dam, Shunzhou Wan, Sean Wilkinson, Shantenu Jha
http://arxiv.org/abs/2010.10517v1
• [cs.DC]Scalable Shared-Memory Hypergraph Partitioning
Lars Gottesbüren, Tobias Heuer, Peter Sanders, Sebastian Schlag
http://arxiv.org/abs/2010.10272v2
• [cs.DC]Sparse Tucker Tensor Decomposition on a Hybrid FPGA-CPU Platform
Weiyun Jiang, Kaiqi Zhang, Colin Yu Lin, Feng Xing, Zheng Zhang
http://arxiv.org/abs/2010.10638v1
• [cs.DC]Towards Distributed Software Resilience in Asynchronous Many-Task Programming Models
Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine, Hartmut Kaiser
http://arxiv.org/abs/2010.10930v1
• [cs.HC]Display object alignment may influence location recall in unexpected ways
Peter Zelchenko, Xiaohan Fu, Xiangqian Li, Alex Ivanov, Zhenyu Gu
http://arxiv.org/abs/2010.10658v1
• [cs.HC]End User Accounts of Dark Patterns as Felt Manipulation
Colin M. Gray, Jingle Chen, Shruthi Sai Chivukula, Liyang Qu
http://arxiv.org/abs/2010.11046v1
• [cs.HC]I-nteract 2.0: A Cyber-Physical System to Design 3D Models using Mixed Reality Technologies and Deep Learning for Additive Manufacturing
Ammar Malik, Hugo Lhachemi, Robert Shorten
http://arxiv.org/abs/2010.11025v1
• [cs.HC]Incandescent Bulb and LED Brake Lights:Novel Analysis of Reaction Times
Ramaswamy Palaniappan, Surej Mouli, Evangelina Fringi, Howard Bowman, Ian McLoughlin
http://arxiv.org/abs/2010.10584v1
• [cs.HC]The Anatomical Edutainer
Marwin Schindler, Hsiang-Yun Wu, Renata Georgia Raidou
http://arxiv.org/abs/2010.09850v1
• [cs.IR]A Hub-and-Spoke Model for Content-Moderation-at-Scale on an Information-Sharing Platform
Gregory Coppola
http://arxiv.org/abs/2010.10581v1
• [cs.IR]Deep learning-based citation recommendation system for patents
Jaewoong Choi, Sion Jang, Jaeyoung Kim, Jiho Lee, Janghyeok Yoona, Sungchul Choi
http://arxiv.org/abs/2010.10932v1
• [cs.IR]Fact-Checking at Scale with DimensionRank
Gregory Coppola
http://arxiv.org/abs/2010.10685v1
• [cs.IR]On Offline Evaluation of Recommender Systems
Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
http://arxiv.org/abs/2010.11060v1
• [cs.IR]ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine
Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou
http://arxiv.org/abs/2010.10789v1
• [cs.IR]Self-supervised Graph Learning for Recommendation
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
http://arxiv.org/abs/2010.10783v1
• [cs.IT]Addicts without Substance? Social Media Addiction when Facebook Shuts Down
Darshana Sedera, Sachithra Lokuge
http://arxiv.org/abs/2010.10605v1
• [cs.IT]Asymptotically Optimal and Near-optimal Aperiodic Quasi-Complementary Sequence Sets Based on Florentine Rectangles
Avik Ranjan Adhikary, Yanghe Feng, Zhengchun Zhou, Pingzhi Fan
http://arxiv.org/abs/2010.11070v1
• [cs.IT]Beamforming Optimization for IRS-Aided Communications with Transceiver Hardware Impairments
Hong Shen, Wei Xu, Shulei Gong, Chunming Zhao, Derrick Wing Kwan Ng
http://arxiv.org/abs/2010.11074v1
• [cs.IT]Biometric Identification Systems With Noisy Enrollment for Gaussian Source
Vamoua Yachongka, Hideki Yagi, Yasutada Oohama
http://arxiv.org/abs/2010.10799v1
• [cs.IT]Coded Computing for Master-Aided Distributed Computing Systems
Haoning Chen, Youlong Wu
http://arxiv.org/abs/2010.10718v1
• [cs.IT]Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA systems
Jinle Zhu, Qiang Li, Zilong Liu, Hongyang Chen, H. Vincent Poor
http://arxiv.org/abs/2010.10980v1
• [cs.IT]Invertible Low-Divergence Coding
Patrick Schulte, Rana Ali Amjad, Thomas Wiegart, Gerhard Kramer
http://arxiv.org/abs/2010.10583v1
• [cs.IT]On Compressed Sensing Matrices Breaking the Square-Root Bottleneck
Shohei Satake, Yujie Gu
http://arxiv.org/abs/2010.11179v1
• [cs.IT]On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm
Borja Rodríguez-Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund
http://arxiv.org/abs/2010.10994v1
• [cs.IT]On the Decoding Performance of Spatially Coupled LDPC Codes with Sub-block Access
Eshed Ram, Yuval Cassuto
http://arxiv.org/abs/2010.10616v1
• [cs.IT]On the maximum number of minimal codewords
Romar dela Cruz, Sascha Kurz
http://arxiv.org/abs/2010.10762v1
• [cs.IT]Reconstructing Mixtures of Coded Strings from Prefix and Suffix Compositions
Ryan Gabrys, Srilakshmi Pattabiraman, Olgica Milenkovic
http://arxiv.org/abs/2010.11116v1
• [cs.IT]Round-Robin is Provably Near-Optimal for Minimizing Age with HARQ over Heterogeneous Unreliable Multiaccess Channels
Zhiyuan Jiang
http://arxiv.org/abs/2010.10861v1
• [cs.IT]The Secret Arithmetic of Patterns: A General Method for Designing Constrained Codes Based on Lexicographic Indexing
Ahmed Hareedy, Beyza Dabak, Robert Calderbank
http://arxiv.org/abs/2010.10686v1
• [cs.LG]A Distributional Robustness Certificate by Randomized Smoothing
Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang
http://arxiv.org/abs/2010.10987v1
• [cs.LG]A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities
Shubhra, Karmaker, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, ChengXiang Zhai, Kalyan Veeramachaneni
http://arxiv.org/abs/2010.10777v1
• [cs.LG]A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Leon Lang, Maurice Weiler
http://arxiv.org/abs/2010.10952v1
• [cs.LG]ASCII: ASsisted Classification with Ignorance Interchange
Jiaying Zhou, Xun Xian, Na Li, Jie Ding
http://arxiv.org/abs/2010.10747v1
• [cs.LG]Adaptive Gradient Method with Resilience and Momentum
Jie Liu, Chen Lin, Chuming Li, Lu Sheng, Ming Sun, Junjie Yan, Wanli Ouyang
http://arxiv.org/abs/2010.11041v1
• [cs.LG]Amnesiac Machine Learning
Laura Graves, Vineel Nagisetty, Vijay Ganesh
http://arxiv.org/abs/2010.10981v1
• [cs.LG]Bat
115b
ch Sequential Adaptive Designs for Global Optimization
Jianhui Ning, Yao Xiao, Zikang Xiong
http://arxiv.org/abs/2010.10698v1
• [cs.LG]Boosting Gradient for White-Box Adversarial Attacks
Hongying Liu, Zhenyu Zhou, Fanhua Shang, Xiaoyu Qi, Yuanyuan Liu, Licheng Jiao
http://arxiv.org/abs/2010.10712v1
• [cs.LG]Complex data labeling with deep learning methods: Lessons from fisheries acoustics
J. M. A. Sarr, T. Brochier, P. Brehmer, Y. Perrot, A. Bah, A. Sarré, M. A. Jeyid, M. Sidibeh, S. El Ayoub
http://arxiv.org/abs/2010.11010v1
• [cs.LG]Conditional Mutual Information Bound for Meta Generalization Gap
Arezou Rezazadeh, Sharu Theresa Jose, Giuseppe Durisi, Osvaldo Simeone
http://arxiv.org/abs/2010.10886v1
• [cs.LG]Counterfactual Explanations for Machine Learning: A Review
Sahil Verma, John Dickerson, Keegan Hines
http://arxiv.org/abs/2010.10596v1
• [cs.LG]Data augmentation as stochastic optimization
Boris Hanin, Yi Sun
http://arxiv.org/abs/2010.11171v1
• [cs.LG]Data-driven Identification of 2D Partial Differential Equations using extracted physical features
Kazem Meidani, Amir Barati Farimani
http://arxiv.org/abs/2010.10626v1
• [cs.LG]Decentralized Deep Learning using Momentum-Accelerated Consensus
Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hedge, Young M Lee, Soumik Sarkar
http://arxiv.org/abs/2010.11166v1
• [cs.LG]Deep Hash Embedding for Large-Vocab Categorical Feature Representations
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi
http://arxiv.org/abs/2010.10784v1
• [cs.LG]Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
Nina Vesseron, Ievgen Redko, Charlotte Laclau
http://arxiv.org/abs/2010.11024v1
• [cs.LG]Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking
Hongda Shen, Eren Kurshan
http://arxiv.org/abs/2010.11062v1
• [cs.LG]Deep Reinforcement Learning in Lane Merge Coordination for Connected Vehicles
Omar Nassef, Luis Sequeira, Elias Salam, Toktam Mahmoodi
http://arxiv.org/abs/2010.10567v1
• [cs.LG]Directed Graph Representation through Vector Cross Product
Ramanujam Madhavan, Mohit Wadhwa
http://arxiv.org/abs/2010.10737v1
• [cs.LG]Efficient Similarity-Preserving Unsupervised Learning using Modular Sparse Distributed Codes and Novelty-Contingent Noise
Rod Rinkus
http://arxiv.org/abs/2010.10926v1
• [cs.LG]Federated Bayesian Optimization via Thompson Sampling
Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet
http://arxiv.org/abs/2010.10154v2
• [cs.LG]GFL: A Decentralized Federated Learning Framework Based On Blockchain
Yifan Hu, Wei Xia, Jun Xiao, Chao Wu
http://arxiv.org/abs/2010.10996v1
• [cs.LG]High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
Noémie Jaquier, Leonel Rozo
http://arxiv.org/abs/2010.10904v1
• [cs.LG]Implicit recurrent networks: A novel approach to stationary input processing with recurrent neural networks in deep learning
Sebastian Sanokowski
http://arxiv.org/abs/2010.10564v1
• [cs.LG]Improving Generalization in Reinforcement Learning with Mixture Regularization
Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng
http://arxiv.org/abs/2010.10814v1
• [cs.LG]Incorporating Interpretable Output Constraints in Bayesian Neural Networks
Wanqian Yang, Lars Lorch, Moritz A. Graule, Himabindu Lakkaraju, Finale Doshi-Velez
http://arxiv.org/abs/2010.10969v1
• [cs.LG]Is Batch Norm unique? An empirical investigation and prescription to emulate the best properties of common normalizers without batch dependence
Vinay Rao, Jascha Sohl-Dickstein
http://arxiv.org/abs/2010.10687v1
• [cs.LG]Iterative Amortized Policy Optimization
Joseph Marino, Alexandre Piché, Alessandro Davide Ialongo, Yisong Yue
http://arxiv.org/abs/2010.10670v1
• [cs.LG]Learning Curves for Analysis of Deep Networks
Derek Hoiem, Tanmay Gupta, Zhizhong Li, Michal M. Shlapentokh-Rothman
http://arxiv.org/abs/2010.11029v1
• [cs.LG]Logistic $Q$-Learning
Joan Bas-Serrano, Sebastian Curi, Andreas Krause, Gergely Neu
http://arxiv.org/abs/2010.11151v1
• [cs.LG]Model selection in reconciling hierarchical time series
Mahdi Abolghasemi, Rob Hyndman, Evangelos Spiliotis, Christoph Bergmeir
http://arxiv.org/abs/2010.10742v1
• [cs.LG]On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
Di Wang, Hanshen Xiao, Srini Devadas, Jinhui Xu
http://arxiv.org/abs/2010.11082v1
• [cs.LG]On Explaining Decision Trees
Yacine Izza, Alexey Ignatiev, Joao Marques-Silva
http://arxiv.org/abs/2010.11034v1
• [cs.LG]On Information Asymmetry in Competitive Multi-Agent Reinforcement Learning: Convergence and Optimality
Ezra Tampubolon, Haris Ceribasic, Holger Boche
http://arxiv.org/abs/2010.10901v1
• [cs.LG]On the Global Self-attention Mechanism for Graph Convolutional Networks
Chen Wang, Chengyuan Deng
http://arxiv.org/abs/2010.10711v1
• [cs.LG]Online-to-Offline Advertisements as Field Experiments
Akira Matsui, Daisuke Moriwaki
http://arxiv.org/abs/2010.09121v2
• [cs.LG]Optimal Off-Policy Evaluation from Multiple Logging Policies
Nathan Kallus, Yuta Saito, Masatoshi Uehara
http://arxiv.org/abs/2010.11002v1
• [cs.LG]Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning
Rik Mulder, Valentin Radu, Christophe Dubach
http://arxiv.org/abs/2010.10621v1
• [cs.LG]Probabilistic Numeric Convolutional Neural Networks
Marc Finzi, Roberto Bondesan, Max Welling
http://arxiv.org/abs/2010.10876v1
• [cs.LG]Promoting High Diversity Ensemble Learning with EnsembleBench
Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka-Ho Chow, Wenqi Wei
http://arxiv.org/abs/2010.10623v1
• [cs.LG]Quantum Tensor Networks, Stochastic Processes, and Weighted Automata
Siddarth Srinivasan, Sandesh Adhikary, Jacob Miller, Guillaume Rabusseau, Byron Boots
http://arxiv.org/abs/2010.10653v1
• [cs.LG]Reinforcement Learning for Optimization of COVID-19 Mitigation policies
Varun Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer Fox, Lauren Meyers, Peter Wurman, Peter Stone
http://arxiv.org/abs/2010.10560v1
• [cs.LG]Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification
Daniel J. Mankowitz, Dan A. Calian, Rae Jeong, Cosmin Paduraru, Nicolas Heess, Sumanth Dathathri, Martin Riedmiller, Timothy Mann
http://arxiv.org/abs/2010.10644v1
• [cs.LG]Runtime Safety Assurance Using Reinforcement Learning
Christopher Lazarus, James G. Lopez, Mykel J. Kochenderfer
http://arxiv.org/abs/2010.10618v1
• [cs.LG]Safety Verification of Model Based Reinforcement Learning Controllers
Akshita Gupta, Inseok Hwang
http://arxiv.org/abs/2010.10740v1
• [cs.LG]Tight Second-Order Certificates for Randomized Smoothing
Alexander Levine, Aounon Kumar, Thomas Goldstein, Soheil Feizi
http://arxiv.org/abs/2010.10549v1
• [cs.LG]Towards Understanding the Dynamics of the First-Order Adversaries
Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie J. Su
http://arxiv.org/abs/2010.10650v1
• [cs.MA]A Decentralised Self-Healing Approach for Network Topology Maintenance
Arles Rodríguez, Jonatan Gómez, Ada Diaconescu
http://arxiv.org/abs/2010.11146v1
• [cs.NE]Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem
Jakob Bossek, Frank Neumann
http://arxiv.org/abs/2010.10913v1
• [cs.NE]Improved Runtime Results for Simple Randomised Search Heuristics on Linear Functions with a Uniform Constraint
Frank Neumann, Mojgan Pourhassan, Carsten Witt
http://arxiv.org/abs/2010.10885v1
• [cs.NI]Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions
Redowan Mahmud, Adel N. Toosi, Maria Alejandra Rodriguez, Sharat Chandra Madanapalli, Vijay Sivaraman, Len Sciacca, Christos Sioutis, Rajkumar Buyya
http://arxiv.org/abs/2010.10509v1
• [cs.RO]A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection
Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu, Jen-Wei Wang, Ya-Liang Chang, Hung-Ting Su, Winston Hsu
http://arxiv.org/abs/2010.10695v1
• [cs.RO]Assembly Sequences Based on Multiple Criteria Against Products with Deformable Parts
Takuya Kiyokawa, Jun Takamatsu, Tsukasa Ogasawara
http://arxiv.org/abs/2010.10846v1
• [cs.RO]Autonomous Extension of a Symbolic Mobile Manipulation Skill Set
Julian Förster, Juan Nieto, Lionel Ott, Roland Siegwart, Jen Jen Chung
http://arxiv.org/abs/2010.10651v1
• [cs.RO]Can We Enable the Drone to be a Filmmaker?
Yuanjie Dang
http://arxiv.org/abs/2010.10706v1
• [cs.RO]DiSCO: Differentiable Scan Context with Orientation
Xuecheng Xu, Huan Yin, Zexi Chen, Yue Wang, Rong Xiong
http://arxiv.org/abs/2010.10949v1
• [cs.RO]Freetures: Localization in Signed Distance Function Maps
Alexander Millane, Helen Oleynikova, Christian Lanegger, Jeff Delmerico, Juan Nieto, Roland Siegwart, Marc Pollefeys, Cesar Cadena
http://arxiv.org/abs/2010.09378v2
• [cs.RO]Improving the Iterative Closest Point Algorithm using Lie Algebra
Maxime Vaidis, Johann Laconte, Vladimír Kubelka, François Pomerleau
http://arxiv.org/abs/2010.11160v1
• [cs.RO]Leveraging Touch Sensors to Improve Mobile Manipulation
Luca Lach, Robert Haschke, Francesco Ferro, Jordi Pagès
http://arxiv.org/abs/2010.10810v1
• [cs.RO]MADER: Trajectory Planner in Multi-Agent and Dynamic Environments
Jesus Tordesillas, Jonathan P. How
http://arxiv.org/abs/2010.11061v1
• [cs.RO]Markov Data-Based Reference Tracking of Tensegrity Morphing Airfoils
Yuling Shen, Muhao Chen, Manoranjan Majji, Robert E. Skelton
http://arxiv.org/abs/2010.10710v1
• [cs.RO]Radar detection rate comparison through a mobile robot platform at the ZalaZONE proving ground
Victor J. Exposito Jimenez, Christian Schwarzl, Szilard Josvai
http://arxiv.org/abs/2010.10835v1
• [cs.RO]RigidFusion: Robot Localisation and Mapping in Environments with Large Dynamic Rigid Objects
Ran Long, Christian Rauch, Tianwei Zhang, Vladimir Ivan, Sethu Vijayakumar
http://arxiv.org/abs/2010.10841v1
• [cs.RO]Safe planning and control under uncertainty for self-driving
Shivesh Khaitan, Qin Lin, John M. Dolan
http://arxiv.org/abs/2010.11063v1
• [cs.RO]Soft Jig-Driven Assembly Operations
Takuya Kiyokawa, Tatsuya Sakuma, Jun Takamatsu, Tsukasa Ogasawara
http://arxiv.org/abs/2010.10843v1
• [cs.RO]SyDeBO: Symbolic-Decision-Embedded Bilevel Optimization for Long-Horizon Manipulation in Dynamic Environments
Zhigen Zhao, Ziyi Zhou, Michael Park, Ye Zhao
http://arxiv.org/abs/2010.11078v1
• [cs.RO]Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning
Jonáš Kulhánek, Erik Derner, Robert Babuška
http://arxiv.org/abs/2010.10903v1
• [cs.SD]Contrastive Learning of General-Purpose Audio Representations
Aaqib Saeed, David Grangier, Neil Zeghidour
http://arxiv.org/abs/2010.10915v1
• [cs.SD]Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition
Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Mike Seltzer
http://arxiv.org/abs/2010.10759v1
• [cs.SD]Joint Blind Room Acoustic Characterization From Speech And Music Signals Using Convolutional Recurrent Neural Networks
Paul Callens, Milos Cernak
http://arxiv.org/abs/2010.11167v1
• [cs.SD]Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks
Ziqi Fan, Vibhav Vineet, Chenshen Lu, Kyla McMullen
http://arxiv.org/abs/2010.10691v1
• [cs.SD]Speaker Separation Using Speaker Inventories and Estimated Speech
Peidong Wang, Zhuo Chen, DeLiang Wang, Jinyu Li, Yifan Gong
http://arxiv.org/abs/2010.10556v1
• [cs.SD]VENOMAVE: Clean-Label Poisoning Against Speech Recognition
Hojjat Aghakhani, Thorsten Eisenhofer, Lea Schönherr, Dorothea Kolossa, Thorsten Holz, Christopher Kruegel, Giovanni Vigna
http://arxiv.org/abs/2010.10682v1
• [cs.SD]WaveTransformer: A Novel Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information
An Tran, Konstantinos Drossos, Tuomas Virtanen
http://arxiv.org/abs/2010.11098v1
• [cs.SI]Analysis of Twitter and YouTube during USelections 2020
Alexander Shevtsov, Maria Oikonomidou, Despoina Antonakaki, Polyvios Pratikakis, Sotiris Ioannidis
http://arxiv.org/abs/2010.08183v2
• [cs.SI]Balance Maximization in Signed Networks via Edge Deletions
Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi
http://arxiv.org/abs/2010.10991v1
• [cs.SI]Heterogeneous Hypergraph Embedding for Graph Classification
Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung
http://arxiv.org/abs/2010.10728v1
• [cs.SI]Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata
Fangqi Li, Chong Di, Shenghong Li
http://arxiv.org/abs/2010.10950v1
• [cs.SI]Misleading Repurposing on Twitter
Tuğrulcan Elmas, Rebekah Overdorf, Ömer Faruk Akgül, Karl Aberer
http://arxiv.org/abs/2010.10600v1
• [cs.SI]Summarizing graphs using the configuration model
Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng
http://arxiv.org/abs/2010.09175v2
• [cs.SI]World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
Justin Loye, Leonardo Ermann, Dima L. Shepelyansky
http://arxiv.org/abs/2010.10962v1
• [econ.EM]Worst-case sensitivity
Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim
http://arxiv.org/abs/2010.10794v1
• [eess.AS]BERT for Joint Multichannel Speech Dereverberation with Spatial-aware Tasks
Yang Jiao
http://arxiv.org/abs/2010.10892v1
• [eess.AS]Detection of COVID-19 through the analysis of vocal fold oscillations
Mahmoud Al Ismail, Soham Deshmukh, Rita Singh
http://arxiv.org/abs/2010.10707v1
• [eess.AS]FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization
Jiahui Yu, Chung-Cheng Chiu, Bo Li, Shuo-yiin Chang, Tara N. Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang
http://arxiv.org/abs/2010.11148v1
• [eess.AS]Knowledge Transfer for Efficient On-device False Trigger Mitigation
Pranay Dighe, Erik Marchi, Srikanth Vishnubhotla, Sachin Kajarekar, Devang Naik
http://arxiv.org/abs/2010.10591v1
• [eess.AS]Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm
Jennifer Williams, Yi Zhao, Erica Cooper, Junichi Yamagishi
http://arxiv.org/abs/2010.10727v1
• [eess.AS]Towards End-to-End Training of Automatic Speech Recognition for Nigerian Pidgin
Daniel Ajisafe, Oluwabukola Adegboro, Esther Oduntan, Tayo Arulogun
http://arxiv.org/abs/2010.11123v1
• [eess.IV]Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction
Haley G. Abramson, Dan M. Popescu, Rebecca Yu, Changxin Lai, Julie K. Shade, Katherine C. Wu, Mauro Maggioni, Natalia A. Trayanova
http://arxiv.org/abs/2010.11081v1
• [eess.IV]Exploring Overcomplete Representations for Single Image Deraining using CNNs
Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishal M. Patel
http://arxiv.org/abs/2010.10661v1
• [eess.IV]Learning Integrodifferential Models for Image Denoising
Tobias Alt, Joachim Weickert
http://arxiv.org/abs/2010.10888v1
• [eess.SP]Minimum Mean-Squared-Error Autocorrelation Processing in Coprime Arrays
Dimitris G. Chachlakis, Tongdi Zhou, Fauzia Ahmad, Panos P. Markopoulos
http://arxiv.org/abs/2010.11073v1
• [math.NA]On Application of Block Kaczmarz Methods in Matrix Factorization
Edwin Chau, Jamie Haddock
http://arxiv.org/abs/2010.10635v1
• [math.OC]Coordinated Online Learning for Multi-Agent Systems with Coupled Constraints and Perturbed Utility Observations
Ezra Tampubolon, Holger Boche
http://arxiv.org/abs/2010.10878v1
• [math.OC]Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems
Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab Mirrokni
http://arxiv.org/abs/2010.10628v1
• [math.OC]Optimizing Planning Service Territories by Dividing Into Compact Several Sub-areas Using Binary K-means Clustering According Vehicle Constraints
Muhammad Wildan Abdul Hakim, Syarifah Rosita Dewi, Yurio Windiatmoko, Umar Abdul Aziz
http://arxiv.org/abs/2010.10934v1
• [math.PR]Optimal Recovery of Block Models with $q$ Communities
Byron Chin, Allan Sly
http://arxiv.org/abs/2010.10672v1
• [math.ST]A Dynamic Taylor’s Law
Victor De la Pena, Paul Doukhan, Yahia Salhi
http://arxiv.org/abs/2010.10598v1
• [math.ST]The entropy based goodness of fit tests for generalized von Mises-Fisher distributions and beyond
Nikolai Leonenko, Vitalii Makogin, Mehmet Siddik Cadirci
http://arxiv.org/abs/2010.10918v1
• [physics.app-ph]Highly-scalable stochastic neuron based on Ovonic Threshold Switch (OTS) and its applications in Restricted Boltzmann Machine (RBM)
Seong-il Im, Hyejin Lee, Jaesang Lee, Jae-Seung Jeong, Joon Young Kwak, Keunsu Kim, Jeong Ho Cho, Hyunsu Ju, Suyoun Lee
http://arxiv.org/abs/2010.10986v1
• [physics.optics]Recurrent neural network-based volumetric fluorescence microscopy
Luzhe Huang, Yilin Luo, Yair Rivenson, Aydogan Ozcan
http://arxiv.org/abs/2010.10781v1
• [quant-ph]Pseudocodeword-based Decoding of Quantum Color Codes
July X. Li, Joseph M. Renes, Pascal O. Vontobel
http://arxiv.org/abs/2010.10845v1
• [quant-ph]Ultimate Limits of Thermal Imaging
Cillian Harney, Leonardo Banchi, Stefano Pirandola
http://arxiv.org/abs/2010.10855v1
• [stat.AP]A Bayesian Hidden Semi-Markov Model with Covariate-Dependent State Duration Parameters for High-Frequency Data from Wearable Devices
Shirley Rojas-Salazar, Erin M. Schliep, Christopher K. Wikle, Matthew Hawkey
http://arxiv.org/abs/2010.10739v1
• [stat.AP]Reliability of meta-analysis of an association between ambient air quality and development of asthma later in life
S. Stanley Young, Kai-Chieh Cheng, Jin Hua Chen, Shu-Chuan Chen, Warren B. Kindzierski
http://arxiv.org/abs/2010.10922v1
• [stat.ME]Conditional Density Estimation via Weighted Logistic Regressions
Yiping Guo, Howard D. Bondell
http://arxiv.org/abs/2010.10896v1
• [stat.ME]Elo-MOV rating algorithm: Generalization of the Elo algorithm by modelling the discretized Margin of Victory
Leszek Szczecinski
http://arxiv.org/abs/2010.11187v1
• [stat.ME]Gene-gene interaction analysis incorporating network information via a structured Bayesian approach
Xing Qin, Shuangge Ma, Mengyun Wu
http://arxiv.org/abs/2010.10960v1
• [stat.ME]Improved inference for areal unit count data using graph-based optimisation
Duncan Lee, Kitty Meeks
http://arxiv.org/abs/2010.10893v1
• [stat.ME]Introducing the treatment hierarchy question in network meta-analysis
Georgia Salanti, Adriani Nikolakopoulou, Orestis Efthimou, Dimitris Mavridis, Matthias Egger, Ian R. White
http://arxiv.org/abs/2010.10588v1
• [stat.ME]On Robust Probabilistic Principal Component Analysis using Multivariate $t$-Distributions
Yiping Guo, Howard D. Bondell
http://arxiv.org/abs/2010.10786v1
• [stat.ME]Simulations for a Q statistic with constant weights to assess heterogeneity in meta-analysis of mean difference
Elena Kulinskaya, David C. Hoaglin, Joseph Newman, Ilyas Bakbergenuly
http://arxiv.org/abs/2010.11009v1
• [stat.ME]Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate Control
Sai Li, T. Tony Cai, Hongzhe Li
http://arxiv.org/abs/2010.11037v1
• [stat.ML]Bayesian Algorithms for Decentralized Stochastic Bandits
Anusha Lalitha, Andrea Goldsmith
http://arxiv.org/abs/2010.10569v1
• [stat.ML]Bayesian Attention Modules
Xinjie Fan, Shujian Zhang, Bo Chen, Mingyuan Zhou
http://arxiv.org/abs/2010.10604v1
• [stat.ML]How to Control the Error Rates of Binary Classifiers
Miloš Simić
http://arxiv.org/abs/2010.11039v1
• [stat.ML]Regularised Least-Squares Regression with Infinite-Dimensional Output Space
Junhyunng Park, Krikamol Muandet
http://arxiv.org/abs/2010.10973v1
• [stat.ML]Riemannian Langevin Algorithm for Solving Semidefinite Programs
Mufan, Li, Murat A. Erdogdu
http://arxiv.org/abs/2010.11176v1
• [stat.ML]Tensor Train Random Projection
Yani Feng, Kejun Tang, Lianxing He, Pingqiang Zhou, Qifeng Liao
http://arxiv.org/abs/2010.10797v1
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