cs.AI - 人工智能

    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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 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.PF - 计算性能 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.DS - 动力系统 math.MG -公制几何 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 q-bio.MN - 分子网络 q-bio.QM - 定量方法 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

    • [cs.AI]CURI: A Benchmark for Productive Concept Learning Under Uncertainty
    • [cs.AI]Chess as a Testing Grounds for the Oracle Approach to AI Safety
    • [cs.AI]From Language Games to Drawing Games
    • [cs.AI]Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference
    • [cs.AI]Norm Identification through Plan Recognition
    • [cs.AI]Temporal Difference Uncertainties as a Signal for Exploration
    • [cs.CL]A Generalized Constraint Approach to Bilingual Dictionary Induction for Low-Resource Language Families
    • [cs.CL]A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis
    • [cs.CL]A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration
    • [cs.CL]Acrostic Poem Generation
    • [cs.CL]Adversarial Grammatical Error Correction
    • [cs.CL]An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks
    • [cs.CL]An Ensemble Approach to Automatic Structuring of Radiology Reports
    • [cs.CL]An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks
    • [cs.CL]Analyzing Individual Neurons in Pre-trained Language Models
    • [cs.CL]Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging
    • [cs.CL]Aspect Sentiment Classification with Aspect-Specific Opinion Spans
    • [cs.CL]Automatic Metaphor Interpretation Using Word Embeddings
    • [cs.CL]BERT Knows Punta Cana is not just beautiful, it’s gorgeous: Ranking Scalar Adjectives with Contextualised Representations
    • [cs.CL]CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
    • [cs.CL]COD3S: Diverse Generation with Discrete Semantic Signatures
    • [cs.CL]COSMIC: COmmonSense knowledge for eMotion Identification in Conversations
    • [cs.CL]CoRefi: A Crowd Sourcing Suite for Coreference Annotation
    • [cs.CL]Context Modeling with Evidence Filter for Multiple Choice Question Answering
    • [cs.CL]Conversational Document Prediction to Assist Customer Care Agents
    • [cs.CL]Converting the Point of View of Messages Spoken to Virtual Assistants
    • [cs.CL]Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher
    • [cs.CL]DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue
    • [cs.CL]DaNetQA: a yes/no Question Answering Dataset for the Russian Language
    • [cs.CL]Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
    • [cs.CL]Detecting Attackable Sentences in Arguments
    • [cs.CL]Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
    • [cs.CL]Dissecting Span Identification Tasks with Performance Prediction
    • [cs.CL]Do Explicit Alignments Robustly Improve Multilingual Encoders?
    • [cs.CL]Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution
    • [cs.CL]Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
    • [cs.CL]Effects of Naturalistic Variation in Goal-Oriented Dialog
    • [cs.CL]Efficient Inference For Neural Machine Translation
    • [cs.CL]Efficient Meta Lifelong-Learning with Limited Memory
    • [cs.CL]Efficient One-Pass End-to-End Entity Linking for Questions
    • [cs.CL]Embedding Words in Non-Vector Space with Unsupervised Graph Learning
    • [cs.CL]Explaining The Efficacy of Counterfactually-Augmented Data
    • [cs.CL]Extracting Implicitly Asserted Propositions in Argumentation
    • [cs.CL]Fine-Grained Grounding for Multimodal Speech Recognition
    • [cs.CL]GRUEN for Evaluating Linguistic Quality of Generated Text
    • [cs.CL]Guiding Attention for Self-Supervised Learning with Transformers
    • [cs.CL]Help! Need Advice on Identifying Advice
    • [cs.CL]If beam search is the answer, what was the question?
    • [cs.CL]Improving Neural Topic Models using Knowledge Distillation
    • [cs.CL]Incorporating Behavioral Hypotheses for Query Generation
    • [cs.CL]Inference Strategies for Machine Translation with Conditional Masking
    • [cs.CL]InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
    • [cs.CL]Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning
    • [cs.CL]Intrinsic Probing through Dimension Selection
    • [cs.CL]Investigating African-American Vernacular English in Transformer-Based Text Generation
    • [cs.CL]Investigating representations of verb bias in neural language models
    • [cs.CL]Iterative Domain-Repaired Back-Translation
    • [cs.CL]Joint Turn and Dialogue level User Satisfaction Estimation on Multi-Domain Conversations
    • [cs.CL]KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
    • [cs.CL]Keep CALM and Explore: Language Models for Action Generation in Text-based Games
    • [cs.CL]Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles
    • [cs.CL]LEGAL-BERT: The Muppets straight out of Law School
    • [cs.CL]LOGAN: Local Group Bias Detection by Clustering
    • [cs.CL]Learning to Generalize for Sequential Decision Making
    • [cs.CL]Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
    • [cs.CL]MedFilter: Extracting Task-relevant Utterances from Medical Dialogue through Integration of Discourse Structure and Ontological Knowledge
    • [cs.CL]Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks
    • [cs.CL]Modeling Preconditions in Text with a Crowd-sourced Dataset
    • [cs.CL]Multi-Fact Correction in Abstractive Text Summarization
    • [cs.CL]Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis
    • [cs.CL]Multi-task Learning for Multilingual Neural Machine Translation
    • [cs.CL]Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
    • [cs.CL]Neural Speech Synthesis for Estonian
    • [cs.CL]On the Branching Bias of Syntax Extracted from Pre-trained Language Models
    • [cs.CL]On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers
    • [cs.CL]On the Role of Supervision in Unsupervised Constituency Parsing
    • [cs.CL]On the Sparsity of Neural Machine Translation Models
    • [cs.CL]On the Sub-Layer Functionalities of Transformer Decoder
    • [cs.CL]PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation
    • [cs.CL]PRover: Proof Generation for Interpretable Reasoning over Rules
    • [cs.CL]Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
    • [cs.CL]Plan Optimization to Bilingual Dictionary Induction for Low-Resource Language Families
    • [cs.CL]Please Mind the Root: Decoding Arborescences for Dependency Parsing
    • [cs.CL]Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
    • [cs.CL]PolicyQA: A Reading Comprehension Dataset for Privacy Policies
    • [cs.CL]Position-Aware Tagging for Aspect Sentiment Triplet Extraction
    • [cs.CL]Pretrained Language Model Embryology: The Birth of ALBERT
    • [cs.CL]QADiscourse — Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines
    • [cs.CL]Regularizing Dialogue Generation by Imitating Implicit Scenarios
    • [cs.CL]Robustness and Reliability of Gender Bias Assessment in WordEmbeddings: The Role of Base Pairs
    • [cs.CL]Scene Graph Modification Based on Natural Language Commands
    • [cs.CL]Second-Order NLP Adversarial Examples
    • [cs.CL]Semantic Evaluation for Text-to-SQL with Distilled Test Suites
    • [cs.CL]Semantically Driven Sentence Fusion: Modeling and Evaluation
    761
    • [cs.CL]Semi-Supervised Speech-Language Joint Pre-Training for Spoken Language Understanding
    • [cs.CL]Sentiment Analysis for Reinforcement Learning
    • [cs.CL]SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup
    • [cs.CL]Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning
    • [cs.CL]SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling
    • [cs.CL]Stepwise Extractive Summarization and Planning with Structured Transformers
    • [cs.CL]StyleDGPT: Stylized Response Generation with Pre-trained Language Models
    • [cs.CL]SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy
    • [cs.CL]Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus
    • [cs.CL]Tackling the Low-resource Challenge for Canonical Segmentation
    • [cs.CL]Textual Supervision for Visually Grounded Spoken Language Understanding
    • [cs.CL]The Multilingual Amazon Reviews Corpus
    • [cs.CL]Towards Coalgebras in Stylometry
    • [cs.CL]UNQOVERing Stereotyping Biases via Underspecified Questions
    • [cs.CL]Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning
    • [cs.CL]Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
    • [cs.CL]We Don’t Speak the Same Language: Interpreting Polarization through Machine Translation
    • [cs.CR]Downscaling Attacks: What You See is Not What You Get
    • [cs.CR]InstaHide: Instance-hiding Schemes for Private Distributed Learning
    • [cs.CR]PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning
    • [cs.CV]A Method for Tumor Treating Fields Fast Estimation
    • [cs.CV]Adaptive Automotive Radar data Acquisition
    • [cs.CV]Arbitrary Style Transfer using Graph Instance Normalization
    • [cs.CV]Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification
    • [cs.CV]CORE: Color Regression for Multiple Colors Fashion Garments
    • [cs.CV]Collaboratively boosting data-driven deep learning and knowledge-guided ontological reasoning for semantic segmentation of remote sensing imagery
    • [cs.CV]Common CNN-based Face Embedding Spaces are (Almost) Equivalent
    • [cs.CV]Comprehensive Online Network Pruning via Learnable Scaling Factors
    • [cs.CV]Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
    • [cs.CV]Finding the Evidence: Localization-aware Answer Prediction for Text Visual Question Answering
    • [cs.CV]High Speed Event Camera TRacking
    • [cs.CV]How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning
    • [cs.CV]Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track
    • [cs.CV]Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays
    • [cs.CV]Mapping of Sparse 3D Data using Alternating Projection
    • [cs.CV]Microscopic fine-grained instance classification through deep attention
    • [cs.CV]Multi-level Feature Learning on Embedding Layer of Convolutional Autoencoders and Deep Inverse Feature Learning for Image Clustering
    • [cs.CV]Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation
    • [cs.CV]RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs
    • [cs.CV]Representation learning from videos in-the-wild: An object-centric approach
    • [cs.CV]SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction
    • [cs.CV]Self-supervised Exposure Trajectory Recovery for Dynamic Blur Estimation
    • [cs.CV]Support-set bottlenecks for video-text representation learning
    • [cs.CV]Training Deep Neural Networks for Wireless Sensor Networks Using Loosely and Weakly Labeled Images
    • [cs.CV]Unfolding the Alternating Optimization for Blind Super Resolution
    • [cs.CV]Vec2Instance: Parameterization for Deep Instance Segmentation
    • [cs.CV]Video Anomaly Detection Using Pre-Trained Deep Convolutional Neural Nets and Context Mining
    • [cs.CV]VisualWordGrid: Information Extraction From Scanned Documents Using A Multimodal Approach
    • [cs.CV]Visualizing Color-wise Saliency of Black-Box Image Classification Models
    • [cs.DB]Discovery data topology with the closure structure. Theoretical and practical aspects
    • [cs.DC]An Easy-to-Use-and-Deploy Grid Computing Framework
    • [cs.DC]Byzantine Geoconsensus
    • [cs.DC]Conceptual and Technical Challenges for High Performance Computing
    • [cs.DC]Local Deal-Agreement Based Monotonic Distributed Algorithms for Load Balancing in General Graphs
    • [cs.DC]Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels
    • [cs.DC]Robust Software Development for University-Built Satellites
    • [cs.DS]Approximate Submodularity
    • [cs.DS]How to send a real number using a single bit (and some shared randomness)
    • [cs.IR]Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
    • [cs.IT]A Concentration-Time Hybrid Modulation Scheme for Molecular Communications
    • [cs.IT]An improved bound on $\ell_q$ norms of noisy functions
    • [cs.IT]Determination for minimum symbol-pair and RT weights of repeated-root cyclic codes
    • [cs.IT]Distributed Coding of Quantized Random Projections
    • [cs.IT]Fundamental Properties of Sum-Rank Metric Codes
    • [cs.LG]A Closer Look at Codistillation for Distributed Training
    • [cs.LG]A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning
    • [cs.LG]A Novel Neural Network Training Framework with Data Assimilation
    • [cs.LG]A Panda? No, It’s a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
    • [cs.LG]A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems
    • [cs.LG]A Transformer-based Framework for Multivariate Time Series Representation Learning
    • [cs.LG]A Unifying View on Implicit Bias in Training Linear Neural Networks
    • [cs.LG]A framework for predicting, interpreting, and improving Learning Outcomes
    • [cs.LG]Active Feature Acquisition with Generative Surrogate Models
    • [cs.LG]AdaLead: A simple and robust adaptive greedy search algorithm for sequence design
    • [cs.LG]Adversarial Boot Camp: label free certified robustness in one epoch
    • [cs.LG]Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters
    • [cs.LG]Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework
    • [cs.LG]Data-Driven Learning of Geometric Scattering Networks
    • [cs.LG]Deep Anomaly Detection by Residual Adaptation
    • [cs.LG]Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
    • [cs.LG]Denoising Diffusion Implicit Models
    • [cs.LG]Dif-MAML: Decentralized Multi-Agent Meta-Learning
    • [cs.LG]Directional Graph Networks
    • [cs.LG]Disentangle-based Continual Graph Representation Learning
    • [cs.LG]Disentangled Generative Causal Representation Learning
    • [cs.LG]Diverse Exploration via InfoMax Options
    • [cs.LG]Efficient computation of contrastive explanations
    • [cs.LG]Estimating conditional density of missing values using deep Gaussian mixture model
    • [cs.LG]Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering
    • [cs.LG]Fixing Asymptotic Uncertainty of Bayesian Neural Networks with Infinite ReLU Features
    • [cs.LG]Friendship is All we Need: A Multi-graph Embedding Approach for Modeling Customer Behavior
    • [cs.LG]Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Reconstruction
    • [cs.LG]Generalized Matrix Factorization
    • [cs.LG]Goal-directed Generation of Discrete Structures with Conditional Generative Models
    • [cs.LG]Identifying Spurious Correlations for Robust Text Classification
    • [cs.LG]Improved Analysis of Clipping Algorithms for Non-convex Optimization
    • [cs.LG]Interpretable Sequence Classification via Discrete Optimization
    • [cs.LG]Latent World Models For Intrinsically Motivated Exploration
    • [cs.LG]Learn to Synchronize, Synchronize to Learn
    • [cs.LG]Learnable Uncertainty under Laplace Approximations
    • [cs.LG]Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
    • [cs.LG]Lower Bounds and Optimal Algorithms for Personalized Federated Learning
    • [cs.LG]MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization
    • [cs.LG]Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients
    • [cs.LG]Meta-Learning of Compositional Task Distributions in Humans and
    1b91
    Machines
    • [cs.LG]Metadata-Based Detection of Child Sexual Abuse Material
    • [cs.LG]Multi-typed Objects Multi-view Multi-instance Multi-label Learning
    • [cs.LG]NCP-VAE: Variational Autoencoders with Noise Contrastive Priors
    • [cs.LG]On the Universality of Rotation Equivariant Point Cloud Networks
    • [cs.LG]Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processing
    • [cs.LG]Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks
    • [cs.LG]Randomized Value Functions via Posterior State-Abstraction Sampling
    • [cs.LG]Real-time Uncertainty Decomposition for Online Learning Control
    • [cs.LG]Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate
    • [cs.LG]Recovering Causal Structures from Low-Order Conditional Independencies
    • [cs.LG]Reward Propagation Using Graph Convolutional Networks
    • [cs.LG]Robust priors for regularized regression
    • [cs.LG]Safety Aware Reinforcement Learning (SARL)
    • [cs.LG]Short-term prediction of photovoltaic power generation using Gaussian process regression
    • [cs.LG]Subspace Embeddings Under Nonlinear Transformations
    • [cs.LG]Testing Tail Weight of a Distribution Via Hazard Rate
    • [cs.LG]The Effectiveness of Memory Replay in Large Scale Continual Learning
    • [cs.LG]Understanding Classifier Mistakes with Generative Models
    • [cs.LG]Unsupervised Hierarchical Concept Learning
    • [cs.LG]Usable Information and Evolution of Optimal Representations During Training
    • [cs.LG]Winning Lottery Tickets in Deep Generative Models
    • [cs.LG]Wound and episode level readmission risk or weeks to readmit: Why do patients get readmitted? How long does it take for a patient to get readmitted?
    • [cs.MA]Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping
    • [cs.NE]Conditional Generative Adversarial Networks to Model Urban Outdoor Air Pollution
    • [cs.NE]The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
    • [cs.PF]LETI: Latency Estimation Tool and Investigation of Neural Networks inference on Mobile GPU
    • [cs.RO]Comprehending finger flexor tendon pulley system using a computational analysis
    • [cs.RO]Network Localization Based Planning for Autonomous Underwater Vehicles with Inter-Vehicle Ranging
    • [cs.RO]Policy learning in SE(3) action spaces
    • [cs.RO]Projection Mapping Implementation: Enabling Direct Externalization of Perception Results and Action Intent to Improve Robot Explainability
    • [cs.RO]Reasons People Want Explanations After Unrecoverable Pre-Handover Failures
    • [cs.RO]Rigid Body Dynamic Simulation with Line and Surface Contact
    • [cs.RO]Target State Estimation and Prediction for High Speed Interception
    • [cs.RO]The Autonomous Racing Software Stack of the KIT19d
    • [cs.RO]Using Soft Actor-Critic for Low-Level UAV Control
    • [cs.SE]Astraea: Grammar-based Fairness Testing
    • [cs.SE]Reproducible Science with LaTeX
    • [cs.SI]Spectral clustering of annotated graphs using a factor graph representation
    • [eess.AS]A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments
    • [eess.AS]The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTS
    • [eess.IV]COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19
    • [eess.IV]Histopathological Stain Transfer using Style Transfer Network with Adversarial Loss
    • [eess.SY]Model-Free Control of Dynamical Systems with Deep Reservoir Computing
    • [math.DS]ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic Equations
    • [math.MG]An Infinite, Converging, Sequence of Brocard Porisms
    • [math.NA]Iterative Methods for Computing Eigenvectors of Nonlinear Operators
    • [math.OC]SCOBO: Sparsity-Aware Comparison Oracle Based Optimization
    • [math.PR]Limit results for $L^p$ functionals of weighted CUSUM processes
    • [math.ST]A Power Analysis of the Conditional Randomization Test and Knockoffs
    • [math.ST]Improving Nonparametric Density Estimation with Tensor Decompositions
    • [math.ST]Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
    • [physics.ao-ph]Global soil moisture from in-situ measurements using machine learning — SoMo.ml
    • [physics.ao-ph]Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows
    • [q-bio.MN]Gene Regulatory Network Inference with Latent Force Models
    • [q-bio.QM]Inferring Microbial Biomass Yield and Cell Weight using Probabilistic Macrochemical Modeling
    • [quant-ph]Tight bounds on the mutual coherence of sensing matrices for Wigner D-functions on regular grids
    • [stat.AP]Forecasting COVID-19 daily cases using phone call data
    • [stat.AP]No increase in COVID-19 mortality after the 2020 primary elections in the USA
    • [stat.ME]A new Framework for Causal Discovery
    • [stat.ME]Causal coupling inference from multivariate time series based on ordinal partition transition networks
    • [stat.ME]Detecting approximate replicate components of a high-dimensional random vector with latent structure
    • [stat.ME]Determining the Number of Factors in High-dimensional Generalised Latent Factor Models
    • [stat.ME]Doubly Robust Covariate Shift Regression with Semi-nonparametric Nuisance Models
    • [stat.ME]Multi-scale graph principal component analysis for connectomics
    • [stat.ME]Power Analysis for Stepped Wedge Trials with Two Treatments
    • [stat.ME]Unified Robust Estimation via the COCO
    • [stat.ML]Constraining Logits by Bounded Function for Adversarial Robustness
    • [stat.ML]Gaussian Process Models with Low-Rank Correlation Matrices for Both Continuous and Categorical Inputs
    • [stat.ML]Kernel regression in high dimension: Refined analysis beyond double descent
    • [stat.ML]On the Universality of the Double Descent Peak in Ridgeless Regression
    • [stat.ML]Recyclable Gaussian Processes
    • [stat.ML]Self-Supervised Variational Auto-Encoders
    • [stat.ML]Splitting Gaussian Process Regression for Streaming Data

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    • [cs.AI]CURI: A Benchmark for Productive Concept Learning Under Uncertainty
    Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden Lake
    http://arxiv.org/abs/2010.02855v1

    • [cs.AI]Chess as a Testing Grounds for the Oracle Approach to AI Safety
    James D. Miller, Roman Yampolskiy, Olle Haggstrom, Stuart Armstrong
    http://arxiv.org/abs/2010.02911v1

    • [cs.AI]From Language Games to Drawing Games
    Chrisantha Fernando, Daria Zenkova, Stanislav Nikolov, Simon Osindero
    http://arxiv.org/abs/2010.02820v1

    • [cs.AI]Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference
    Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu
    http://arxiv.org/abs/2010.02602v1

    • [cs.AI]Norm Identification through Plan Recognition
    Nir Oren, Felipe Meneguzzi
    http://arxiv.org/abs/2010.02627v1

    • [cs.AI]Temporal Difference Uncertainties as a Signal for Exploration
    Sebastian Flennerhag, Jane X. Wang, Pablo Sprechmann, Francesco Visin, Alexandre Galashov, Steven Kapturowski, Diana L. Borsa, Nicolas Heess, Andre Barreto, Razvan Pascanu
    http://arxiv.org/abs/2010.02255v1

    • [cs.CL]A Generalized Constraint Approach to Bilingual Dictionary Induction for Low-Resource Language Families
    Arbi Haza Nasution, Yohei Murakami, Toru Ishida
    http://arxiv.org/abs/2010.02395v1

    • [cs.CL]A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis
    Zehui Dai, Cheng Peng, Huajie Chen, Yadong Ding
    http://arxiv.org/abs/2010.02784v1

    • [cs.CL]A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration
    Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, Moshe Koppel, Reut Tsarfaty
    http://arxiv.org/abs/2010.02864v1

    • [cs.CL]Acrostic Poem Generation
    Rajat Agarwal, Katharina Kann
    http://arxiv.org/abs/2010.02239v1

    • [cs.CL]Adversarial Grammatical Error Correction
    Vipul Raheja, Dimitrios Alikaniotis
    http://arxiv.org/abs/2010.02407v1

    • [cs.CL]An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks
    Kyubyong Park, Joohong Lee, Seongbo Jang, Dawoon Jung
    http://arxiv.org/abs/2010.02534v1

    • [cs.CL]An Ensemble Approach to Automatic Structuring of Radiology Reports
    Morteza Pourreza Shahri, Amir Tahmasebi, Bingyang Ye, Henghui Zhu, Javed Aslam, Timothy Ferris
    http://arxiv.org/abs/2010.02256v1

    • [cs.CL]An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks
    Lifu Tu, Tianyu Liu, Kevin Gimpel
    http://arxiv.org/abs/2010.02789v1

    • [cs.CL]Analyzing Individual Neurons in Pre-trained Language Models
    Nadir Durrani, Hassan Sajjad, Fahim Dalvi, Yonatan Belinkov
    http://arxiv.org/abs/2010.02695v1

    • [cs.CL]Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging
    Zhao Wang, Jennifer Cutler, Aron Culotta
    http://arxiv.org/abs/2010.02466v1

    • [cs.CL]Aspect Sentiment Classification with Aspect-Specific Opinion Spans
    Lu Xu, Lidong Bing, Wei Lu, Fei Huang
    http://arxiv.org/abs/2010.02696v1

    • [cs.CL]Automatic Metaphor Interpretation Using Word Embeddings
    Kfir Bar, Nachum Dershowitz, Lena Dankin
    http://arxiv.org/abs/2010.02665v1

    • [cs.CL]BERT Knows Punta Cana is not just beautiful, it’s gorgeous: Ranking Scalar Adjectives with Contextualised Representations
    Aina Garí Soler, Marianna Apidianaki
    http://arxiv.org/abs/2010.02686v1

    • [cs.CL]CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
    Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed Chi
    http://arxiv.org/abs/2010.02338v1

    • [cs.CL]COD3S: Diverse Generation with Discrete Semantic Signatures
    Nathaniel Weir, João Sedoc, Benjamin Van Durme
    http://arxiv.org/abs/2010.02882v1

    • [cs.CL]COSMIC: COmmonSense knowledge for eMotion Identification in Conversations
    Deepanway Ghosal, Navonil Majumder, Alexander Gelbukh, Rada Mihalcea, Soujanya Poria
    http://arxiv.org/abs/2010.02795v1

    • [cs.CL]CoRefi: A Crowd Sourcing Suite for Coreference Annotation
    Aaron Bornstein, Arie Cattan, Ido Dagan
    http://arxiv.org/abs/2010.02588v1

    • [cs.CL]Context Modeling with Evidence Filter for Multiple Choice Question Answering
    Sicheng Yu, Hao Zhang, Wei Jing, Jing Jiang
    http://arxiv.org/abs/2010.02649v1

    • [cs.CL]Conversational Document Prediction to Assist Customer Care Agents
    Jatin Ganhotra, Haggai Roitman, Doron Cohen, Nathaniel Mills, Chulaka Gunasekara, Yosi Mass, Sachindra Joshi, Luis Lastras, David Konopnicki
    http://arxiv.org/abs/2010.02305v1

    • [cs.CL]Converting the Point of View of Messages Spoken to Virtual Assistants
    Isabelle G. Lee, Vera Zu, Sai Srujana Buddi, Dennis Liang, Jack G. M. Fitzgerald
    http://arxiv.org/abs/2010.02600v1

    • [cs.CL]Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher
    Giannis Karamanolakis, Daniel Hsu, Luis Gravano
    http://arxiv.org/abs/2010.02562v1

    • [cs.CL]DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue
    Oluwatobi O. Olabiyi, Prarthana Bhattarai, C. Bayan Bruss, Zachary Kulis
    http://arxiv.org/abs/2010.01693v2

    • [cs.CL]DaNetQA: a yes/no Question Answering Dataset for the Russian Language
    Taisia Glushkova, Alexey Machnev, Alena Fenogenova, Tatiana Shavrina, Ekaterina Artemova, Dmitry I. Ignatov
    http://arxiv.org/abs/2010.02605v1

    • [cs.CL]Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
    Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu
    http://arxiv.org/abs/2010.02552v1

    • [cs.CL]Detecting Attackable Sentences in Arguments
    Yohan Jo, Seojin Bang, Emaad Manzoor, Eduard Hovy, Chris Reed
    http://arxiv.org/abs/2010.02660v1

    • [cs.CL]Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
    Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu
    http://arxiv.org/abs/2010.01838v2

    • [cs.CL]Dissecting Span Identification Tasks with Performance Prediction
    Sean Papay, Roman Klinger, Sebastian Padó
    http://arxiv.org/abs/2010.02587v1

    • [cs.CL]Do Explicit Alignments Robustly Improve Multilingual Encoders?
    Shijie Wu, Mark Dredze
    http://arxiv.org/abs/2010.02537v1

    • [cs.CL]Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution
    Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz
    http://arxiv.org/abs/2010.02570v1

    • [cs.CL]Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
    Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu
    http://arxiv.org/abs/2010.02481v1

    • [cs.CL]Effects of Naturalistic Variation in Goal-Oriented Dialog
    Jatin Ganhotra, Robert Moore, Sachindra Joshi, Kahini Wadhawan
    http://arxiv.org/abs/2010.02260v1

    • [cs.CL]Efficient Inference For Neural Machine Translation
    Yi-Te Hsu, Sarthak Garg, Yi-Hsiu Liao, Ilya Chatsviorkin
    http://arxiv.org/abs/2010.02416v1

    • [cs.CL]Efficient Meta Lifelong-Learning with Limited Memory
    Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime Carbonell
    http://arxiv.org/abs/2010.02500v1

    • [cs.CL]Efficient One-Pass End-to-End Entity Linking for Questions
    Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih
    http://arxiv.org/abs/2010.02413v1

    • [cs.CL]Embedding Words in Non-Vector Space with Unsupervised Graph Learning
    Max Ryabinin, Sergei Popov, Liudmila Prokhorenkova, Elena Voita
    http://arxiv.org/abs/2010.02598v1

    • [cs.CL]Explaining The Efficacy of Counterfactually-Augmented Data
    Divyansh Kaushik, Amrith Setlur, Eduard Hovy, Zachary C. Lipton
    http://arxiv.org/abs/2010.02114v2

    • [cs.CL]Extracting Implicitly Asserted Propositions in Argumentation
    Yohan Jo, Jacky Visser, Chris Reed, Eduard Hovy
    http://arxiv.org/abs/2010.02654v1

    • [cs.CL]Fine-Grained Grounding for Multimodal Speech Recognition
    Tejas Srinivasan, Ramon Sanabria, Florian Metze, Desmond Elliott
    http://arxiv.org/abs/2010.02384v1

    • [cs.CL]GRUEN for Evaluating Linguistic Quality of Generated Text
    Wanzheng Zhu, Suma Bhat
    http://arxiv.org/abs/2010.02498v1

    • [cs.CL]Guiding Attention for Self-Supervised Learning with Transformers
    Ameet Deshpande, Karthik Narasimhan
    http://arxiv.org/abs/2010.02399v1

    • [cs.CL]Help! Need Advice on Identifying Advice
    Venkata Subrahmanyan Govindarajan, Benjamin T Chen, Rebecca Warholic, Katrin Erk, Junyi Jessy Li
    http://arxiv.org/abs/2010.02494v1

    • [cs.CL]If beam search is the answer, what was the question?
    Clara Meister, Tim Vieira, Ryan Cotterell
    http://arxiv.org/abs/2010.02650v1

    • [cs.CL]Improving Neural Topic Models using Knowledge Distillation
    Alexander Hoyle, Pranav Goel, Philip Resnik
    http://arxiv.org/abs/2010.02377v1

    • [cs.CL]Incorporating Behavioral Hypotheses for Query Generation
    Ruey-Cheng Chen, Chia-Jung Lee
    http://arxiv.org/abs/2010.02667v1

    • [cs.CL]Inference Strategies for Machine Translation with Conditional Masking
    Julia Kreutzer, George Foster, Colin Cherry
    http://arxiv.org/abs/2010.02352v1

    • [cs.CL]InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
    Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
    http://arxiv.org/abs/2010.02329v1

    • [cs.CL]Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning
    Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang
    http://arxiv.org/abs/2010.02386v1

    • [cs.CL]Intrinsic Probing through Dimension Selection
    Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell
    http://arxiv.org/abs/2010.02812v1

    • [cs.CL]Investigating African-American Vernacular English in Transformer-Based Text Generation
    Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza, William Yang Wang
    http://arxiv.org/abs/2010.02510v1

    • [cs.CL]Investigating representations of verb bias in neural language models
    Robert D. Hawkins, Takateru Yamakoshi, Thomas L. Griffiths, Adele E. Goldberg
    http://arxiv.org/abs/2010.02375v1

    • [cs.CL]Iterative Domain-Repaired Back-Translation
    Hao-Ran Wei, Zhirui Zhang, Boxing Chen, Weihua Luo
    http://arxiv.org/abs/2010.02473v1

    • [cs.CL]Joint Turn and Dialogue level User Satisfaction Estimation on Multi-Domain Conversations
    Praveen Kumar Bodigutla, Aditya Tiwari, Josep Vallas Vargas, Lazaros Polymenakos, Spyros Matsoukas
    http://arxiv.org/abs/2010.02495v1

    • [cs.CL]KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
    Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang
    http://arxiv.org/abs/2010.02307v1

    • [cs.CL]Keep CALM and Explore: Language Models for Action Generation in Text-based Games
    Shunyu Yao, Rohan Rao, Matthew Hausknecht, Karthik Narasimhan
    http://arxiv.org/abs/2010.02903v1

    • [cs.CL]Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles
    Carel van Niekerk, Michael Heck, Christian Geishauser, Hsien-Chin Lin, Nurul Lubis, Marco Moresi, Milica Gašić
    http://arxiv.org/abs/2010.02586v1

    • [cs.CL]LEGAL-BERT: The Muppets straight out of Law School
    Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos
    http://arxiv.org/abs/2010.02559v1

    • [cs.CL]LOGAN: Local Group Bias Detection by Clustering
    Jieyu Zhao, Kai-Wei Chang
    http://arxiv.org/abs/2010.02867v1

    • [cs.CL]Learning to Generalize for Sequential Decision Making
    Xusen Yin, Ralph Weischedel, Jonathan May
    http://arxiv.org/abs/2010.02229v1

    • [cs.CL]Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
    Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel
    http://arxiv.org/abs/2010.02807v1

    • [cs.CL]MedFilter: Extracting Task-relevant Utterances from Medical Dialogue through Integration of Discourse Structure and Ontological Knowledge
    Sopan Khosla, Shikhar Vashishth, Jill Fain Lehman, Carolyn Rose
    http://arxiv.org/abs/2010.02246v1

    • [cs.CL]Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks
    Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
    http://arxiv.org/abs/2010.02394v1

    • [cs.CL]Modeling Preconditions in Text with a Crowd-sourced Dataset
    Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian
    http://arxiv.org/abs/2010.02429v1

    • [cs.CL]Multi-Fact Correction in Abstractive Text Summarization
    Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu
    http://arxiv.org/abs/2010.02443v1

    • [cs.CL]Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis
    Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Xu Pan
    http://arxiv.org/abs/2010.02656v1

    • [cs.CL]Multi-task Learning for Multilingual Neural Machine Translation
    Yiren Wang, ChengXiang Zhai, Hany Hassan Awadalla
    http://arxiv.org/abs/2010.02523v1

    • [cs.CL]Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
    Minki Kang, Moonsu Han, Sung Ju Hwang
    http://arxiv.org/abs/2010.02705v1

    • [cs.CL]Neural Speech Synthesis for Estonian
    Liisa Rätsep, Liisi Piits, Hille Pajupuu, Indrek Hein, Mark Fišel
    http://arxiv.org/abs/2010.02636v1

    • [cs.CL]On the Branching Bias of Syntax Extracted from Pre-trained Language Models
    Huayang Li, Lemao Liu, Guoping Huang, Shuming Shi
    http://arxiv.org/abs/2010.02448v1

    • [cs.CL]On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers
    Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow
    http://arxiv.org/abs/2010.02616v1

    • [cs.CL]On the Role of Supervision in Unsupervised Constituency Parsing
    Haoyue Shi, Karen Livescu, Kevin Gimpel
    http://arxiv.org/abs/2010.02423v1

    • [cs.CL]On the Sparsity of Neural Machine Translation Models
    Yong Wang, Longyue Wang, Victor O. K. Li, Zhaopeng Tu
    http://arxiv.org/abs/2010.02646v1

    • [cs.CL]On the Sub-Layer Functionalities of Transformer Decoder
    Yilin Yang, Longyue Wang, Shuming Shi, Prasad Tadepalli, Stefan Lee, Zhaopeng Tu
    http://arxiv.org/abs/2010.02648v1

    • [cs.CL]PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation
    Xinyu Hua, Lu Wang
    http://arxiv.org/abs/2010.02301v1

    • [cs.CL]PRover: Proof Generation for Interpretable Reasoning over Rules
    Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal
    http://arxiv.org/abs/2010.02830v1

    • [cs.CL]Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
    Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, Timi Fasubaa, Tajudeen Kolawole, Taiwo Fagbohungbe, Solomon Oluwole Akinola, Shamsuddee Hassan Muhammad, Salomon Kabongo, Salomey Osei, Sackey Freshia, Rubungo Andre Niyongabo, Ricky Macharm, Perez Ogayo, Orevaoghene Ahia, Musie Meressa, Mofe Adeyemi, Masabata Mokgesi-Selinga, Lawrence Okegbemi, Laura Jane Martinus, Kolawole Tajudeen, Kevin Degila, Kelechi Ogueji, Kathleen Siminyu, Julia Kreutzer, Jason Webster, Jamiil Toure Ali, Jade Abbott, Iroro Orife, Ignatius Ezeani, Idris Abdulkabir Dangana, Herman Kamper, Hady Elsahar, Goodness Duru, Ghollah Kioko, Espoir Murhabazi, Elan van Biljon, Daniel Whitenack, Christopher Onyefuluchi, Chris Emezue, Bonaventure Dossou, Blessing Sibanda, Blessing Itoro Bassey, Ayodele Olabiyi, Arshath Ramkilowan, Alp Öktem, Adewale Akinfaderin, Abdallah Bashir
    http://arxiv.org/abs/2010.02353v1

    • [cs.CL]Plan Optimization to Bilingual Dictionary Induction for Low-Resource Language Families
    Arbi Haza Nasution, Yohei Murakami, Toru Ishida
    http://arxiv.org/abs/2010.02396v1

    • [cs.CL]Please Mind the Root: Decoding Arborescences for Dependency Parsing
    Ran Zmigrod, Tim Vieira, Ryan Cotterell
    http://arxiv.org/abs/2010.02550v1

    • [cs.CL]Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
    Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang
    http://arxiv.org/abs/2010.02684v1

    • [cs.CL]PolicyQA: A Reading Comprehension Dataset for Privacy Policies
    Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang
    http://arxiv.org/abs/2010.02557v1

    • [cs.CL]Position-Aware Tagging for Aspect Sentiment Triplet Extraction
    Lu Xu, Hao Li, Wei Lu, Lidong Bing
    http://arxiv.org/abs/2010.02609v1

    • [cs.CL]Pretrained Language Model Embryology: The Birth of ALBERT
    David C. Chiang, Sung-Feng Huang, Hung-yi Lee
    http://arxiv.org/abs/2010.02480v1

    • [cs.CL]QADiscourse — Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines
    Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, Ido Dagan
    http://arxiv.org/abs/2010.02815v1

    • [cs.CL]Regularizing Dialogue Generation by Imitating Implicit Scenarios
    Shaoxiong Feng, Xuancheng Ren, Hongshen Chen, Bin Sun, Kan Li, Xu Sun
    http://arxiv.org/abs/2010.01893v2

    • [cs.CL]Robustness and Reliability of Gender Bias Assessment in WordEmbeddings: The Role of Base Pairs
    Haiyang Zhang, Alison Sneyd, Mark Stevenson
    http://arxiv.org/abs/2010.02847v1

    • [cs.CL]Scene Graph Modification Based on Natural Language Commands
    Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Trung Bui, Zhe Lin, Franck Dernoncourt, Nhan Dam
    http://arxiv.org/abs/2010.02591v1

    • [cs.CL]Second-Order NLP Adversarial Examples
    John X. Morris
    http://arxiv.org/abs/2010.01770v2

    • [cs.CL]Semantic Evaluation for Text-to-SQL with Distilled Test Suites
    Ruiqi Zhong, Tao Yu, Dan Klein
    http://arxiv.org/abs/2010.02840v1

    • [cs.CL]Semantically Driven Sentence Fusion: Modeling and Evaluation
    761
    Eyal Ben-David, Orgad Keller, Eric Malmi, Idan Szpektor, Roi Reichart
    http://arxiv.org/abs/2010.02592v1

    • [cs.CL]Semi-Supervised Speech-Language Joint Pre-Training for Spoken Language Understanding
    Yu-An Chung, Chenguang Zhu, Michael Zeng
    http://arxiv.org/abs/2010.02295v1

    • [cs.CL]Sentiment Analysis for Reinforcement Learning
    Ameet Deshpande, Eve Fleisig
    http://arxiv.org/abs/2010.02316v1

    • [cs.CL]SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup
    Rongzhi Zhang, Yue Yu, Chao Zhang
    http://arxiv.org/abs/2010.02322v1

    • [cs.CL]Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning
    Yi Yang, Arzoo Katiyar
    http://arxiv.org/abs/2010.02405v1

    • [cs.CL]SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling
    Di Wu, Liang Ding, Fan Lu, Jian Xie
    http://arxiv.org/abs/2010.02693v1

    • [cs.CL]Stepwise Extractive Summarization and Planning with Structured Transformers
    Shashi Narayan, Joshua Maynez, Jakub Adamek, Daniele Pighin, Blaž Bratanič, Ryan McDonald
    http://arxiv.org/abs/2010.02744v1

    • [cs.CL]StyleDGPT: Stylized Response Generation with Pre-trained Language Models
    Ze Yang, Wei Wu, Can Xu, Xinnian Liang, Jiaqi Bai, Liran Wang, Wei Wang, Zhoujun Li
    http://arxiv.org/abs/2010.02569v1

    • [cs.CL]SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy
    Umanga Bista, Alexander Patrick Mathews, Aditya Krishna Menon, Lexing Xie
    http://arxiv.org/abs/2010.02568v1

    • [cs.CL]Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus
    Michel Plüss, Lukas Neukom, Manfred Vogel
    http://arxiv.org/abs/2010.02810v1

    • [cs.CL]Tackling the Low-resource Challenge for Canonical Segmentation
    Manuel Mager, Özlem Çetinoğlu, Katharina Kann
    http://arxiv.org/abs/2010.02804v1

    • [cs.CL]Textual Supervision for Visually Grounded Spoken Language Understanding
    Bertrand Higy, Desmond Eliott, Grzegorz Chrupała
    http://arxiv.org/abs/2010.02806v1

    • [cs.CL]The Multilingual Amazon Reviews Corpus
    Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith
    http://arxiv.org/abs/2010.02573v1

    • [cs.CL]Towards Coalgebras in Stylometry
    Joël A. Doat
    http://arxiv.org/abs/2010.02733v1

    • [cs.CL]UNQOVERing Stereotyping Biases via Underspecified Questions
    Tao Li, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Vivek Srikumar
    http://arxiv.org/abs/2010.02428v1

    • [cs.CL]Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning
    Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
    http://arxiv.org/abs/2010.02357v1

    • [cs.CL]Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
    Wenpeng Yin, Nazneen Fatema Rajani, Dragomir Radev, Richard Socher, Caiming Xiong
    http://arxiv.org/abs/2010.02584v1

    • [cs.CL]We Don’t Speak the Same Language: Interpreting Polarization through Machine Translation
    Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell
    http://arxiv.org/abs/2010.02339v1

    • [cs.CR]Downscaling Attacks: What You See is Not What You Get
    Andrew J. Lohn
    http://arxiv.org/abs/2010.02456v1

    • [cs.CR]InstaHide: Instance-hiding Schemes for Private Distributed Learning
    Yangsibo Huang, Zhao Song, Kai Li, Sanjeev Arora
    http://arxiv.org/abs/2010.02772v1

    • [cs.CR]PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning
    Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang
    http://arxiv.org/abs/2010.02529v1

    • [cs.CV]A Method for Tumor Treating Fields Fast Estimation
    Reuben R Shamir, Zeev Bomzon
    http://arxiv.org/abs/2010.02644v1

    • [cs.CV]Adaptive Automotive Radar data Acquisition
    Madhumitha Sakthi, Ahmed Tewfik
    http://arxiv.org/abs/2010.02367v1

    • [cs.CV]Arbitrary Style Transfer using Graph Instance Normalization
    Dongki Jung, Seunghan Yang, Jaehoon Choi, Changick Kim
    http://arxiv.org/abs/2010.02560v1

    • [cs.CV]Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification
    Alexander Grimwood, Helen McNair, Yipeng Hu, Ester Bonmati, Dean Barratt, Emma Harris
    http://arxiv.org/abs/2010.02732v1

    • [cs.CV]CORE: Color Regression for Multiple Colors Fashion Garments
    Alexandre Rame, Arthur Douillard, Charles Ollion
    http://arxiv.org/abs/2010.02849v1

    • [cs.CV]Collaboratively boosting data-driven deep learning and knowledge-guided ontological reasoning for semantic segmentation of remote sensing imagery
    Yansheng Li, Song Ouyang, Yongjun Zhang
    http://arxiv.org/abs/2010.02451v1

    • [cs.CV]Common CNN-based Face Embedding Spaces are (Almost) Equivalent
    David McNeely-White, Benjamin Sattelberg, Nathaniel Blanchard, Ross Beveridge
    http://arxiv.org/abs/2010.02323v1

    • [cs.CV]Comprehensive Online Network Pruning via Learnable Scaling Factors
    Muhammad Umair Haider, Murtaza Taj
    http://arxiv.org/abs/2010.02623v1

    • [cs.CV]Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
    Weichao Lan, Liang Lan
    http://arxiv.org/abs/2010.02778v1

    • [cs.CV]Finding the Evidence: Localization-aware Answer Prediction for Text Visual Question Answering
    Wei Han, Hantao Huang, Tao Han
    http://arxiv.org/abs/2010.02582v1

    • [cs.CV]High Speed Event Camera TRacking
    William Chamorro, Juan Andrade-Cetto, Joan Solà
    http://arxiv.org/abs/2010.02771v1

    • [cs.CV]How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning
    Ethan Harris, Daniela Mihai, Jonathon Hare
    http://arxiv.org/abs/2010.02634v1

    • [cs.CV]Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track
    Zeming Li, Yuchen Ma, Yukang Chen, Xiangyu Zhang, Jian Sun
    http://arxiv.org/abs/2010.02475v1

    • [cs.CV]Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays
    Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian McAuley
    http://arxiv.org/abs/2010.02467v1

    • [cs.CV]Mapping of Sparse 3D Data using Alternating Projection
    Siddhant Ranade, Xin Yu, Shantnu Kakkarınst, Pedro Miraldo, Srikumar Ramalingam
    http://arxiv.org/abs/2010.02516v1

    • [cs.CV]Microscopic fine-grained instance classification through deep attention
    Mengran Fan, Tapabrata Chakrabort, Eric I-Chao Chang, Yan Xu, Jens Rittscher
    http://arxiv.org/abs/2010.02818v1

    • [cs.CV]Multi-level Feature Learning on Embedding Layer of Convolutional Autoencoders and Deep Inverse Feature Learning for Image Clustering
    Behzad Ghazanfari, Fatemeh Afghah
    http://arxiv.org/abs/2010.02343v1

    • [cs.CV]Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation
    Allan Pinto, Manuel A. Córdova, Luis G. L. Decker, Jose L. Flores-Campana, Marcos R. Souza, Andreza A. dos Santos, Jhonatas S. Conceição, Henrique F. Gagliardi, Diogo C. Luvizon, Ricardo da S. Torres, Helio Pedrini
    http://arxiv.org/abs/2010.02680v1

    • [cs.CV]RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs
    Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard Hartley
    http://arxiv.org/abs/2010.02488v1

    • [cs.CV]Representation learning from videos in-the-wild: An object-centric approach
    Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic
    http://arxiv.org/abs/2010.02808v1

    • [cs.CV]SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction
    Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim
    http://arxiv.org/abs/2010.02893v1

    • [cs.CV]Self-supervised Exposure Trajectory Recovery for Dynamic Blur Estimation
    Youjian Zhang, Chaoyue Wang, Stephen J. Maybank, Dacheng Tao
    http://arxiv.org/abs/2010.02484v1

    • [cs.CV]Support-set bottlenecks for video-text representation learning
    Mandela Patrick, Po-Yao Huang, Yuki Asano, Florian Metze, Alexander Hauptmann, João Henriques, Andrea Vedaldi
    http://arxiv.org/abs/2010.02824v1

    • [cs.CV]Training Deep Neural Networks for Wireless Sensor Networks Using Loosely and Weakly Labeled Images
    Qianwei Zhou, Yuhang Chen, Baoqing Li, Xiaoxin Li, Chen Zhou, Jingchang Huang, Haigen Hu
    http://arxiv.org/abs/2010.02546v1

    • [cs.CV]Unfolding the Alternating Optimization for Blind Super Resolution
    Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan
    http://arxiv.org/abs/2010.02631v1

    • [cs.CV]Vec2Instance: Parameterization for Deep Instance Segmentation
    N. Lakmal Deshapriya, Matthew N. Dailey, Manzul Kumar Hazarika, Hiroyuki Miyazaki
    http://arxiv.org/abs/2010.02725v1

    • [cs.CV]Video Anomaly Detection Using Pre-Trained Deep Convolutional Neural Nets and Context Mining
    Chongke Wu, Sicong Shao, Cihan Tunc, Salim Hariri
    http://arxiv.org/abs/2010.02406v1

    • [cs.CV]VisualWordGrid: Information Extraction From Scanned Documents Using A Multimodal Approach
    Mohamed Kerroumi, Othmane Sayem, Aymen Shabou
    http://arxiv.org/abs/2010.02358v1

    • [cs.CV]Visualizing Color-wise Saliency of Black-Box Image Classification Models
    Yuhki Hatakeyama, Hiroki Sakuma, Yoshinori Konishi, Kohei Suenaga
    http://arxiv.org/abs/2010.02468v1

    • [cs.DB]Discovery data topology with the closure structure. Theoretical and practical aspects
    Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli
    http://arxiv.org/abs/2010.02628v1

    • [cs.DC]An Easy-to-Use-and-Deploy Grid Computing Framework
    Gaurav Menghani, Anil Harwani, Yash Londhe, Kalpesh Kagresha
    http://arxiv.org/abs/2010.02348v1

    • [cs.DC]Byzantine Geoconsensus
    Joseph Oglio, Kendric Hood, Gokarna Sharma, Mikhail Nesterenko
    http://arxiv.org/abs/2010.02436v1

    • [cs.DC]Conceptual and Technical Challenges for High Performance Computing
    Claude Tadonki
    http://arxiv.org/abs/2010.02769v1

    • [cs.DC]Local Deal-Agreement Based Monotonic Distributed Algorithms for Load Balancing in General Graphs
    Yefim Dinitz, Shlomi Dolev, Manish Kumar
    http://arxiv.org/abs/2010.02486v1

    • [cs.DC]Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels
    E. Wes Bethel, David Camp, Talita Perciano, Colleen Heinemann
    http://arxiv.org/abs/2010.02361v1

    • [cs.DC]Robust Software Development for University-Built Satellites
    Anton B. Ivanov, Simon Bliudze
    http://arxiv.org/abs/2010.02208v1

    • [cs.DS]Approximate Submodularity
    Flavio Chierichetti, Anirban Dasgupta, Ravi Kumar
    http://arxiv.org/abs/2010.02912v1

    • [cs.DS]How to send a real number using a single bit (and some shared randomness)
    Ran Ben-Basat, Michael Mitzenmacher, Shay Vargaftik
    http://arxiv.org/abs/2010.02331v1

    • [cs.IR]Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
    Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, Allan Hanbury
    http://arxiv.org/abs/2010.02666v1

    • [cs.IT]A Concentration-Time Hybrid Modulation Scheme for Molecular Communications
    Mustafa Can Gursoy, Daewon Seo, Urbashi Mitra
    http://arxiv.org/abs/2010.02359v1

    • [cs.IT]An improved bound on $\ell_q$ norms of noisy functions
    Alex Samorodnitsky
    http://arxiv.org/abs/2010.02721v1

    • [cs.IT]Determination for minimum symbol-pair and RT weights of repeated-root cyclic codes
    Boran Kim
    http://arxiv.org/abs/2010.02471v1

    • [cs.IT]Distributed Coding of Quantized Random Projections
    Maxim Goukhshtein, Petros T. Boufounos, Toshiaki Koike-Akino, Stark C. Draper
    http://arxiv.org/abs/2010.02444v1

    • [cs.IT]Fundamental Properties of Sum-Rank Metric Codes
    Eimear Byrne, Heide Gluesing-Luerssen, Alberto Ravagnani
    http://arxiv.org/abs/2010.02779v1

    • [cs.LG]A Closer Look at Codistillation for Distributed Training
    Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael Rabbat
    http://arxiv.org/abs/2010.02838v1

    • [cs.LG]A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning
    Alexander Mey
    http://arxiv.org/abs/2010.02576v1

    • [cs.LG]A Novel Neural Network Training Framework with Data Assimilation
    Chong Chen, Qinghui Xing, Xin Ding, Yaru Xue, Tianfu Zhong
    http://arxiv.org/abs/2010.02626v1

    • [cs.LG]A Panda? No, It’s a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
    Sanghyun Hong, Yiğitcan Kaya, Ionuţ-Vlad Modoranu, Tudor Dumitraş
    http://arxiv.org/abs/2010.02432v1

    • [cs.LG]A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems
    Aigerim Bogyrbayeva, Sungwook Jang, Ankit Shah, Young Jae Jang, Changhyun Kwon
    http://arxiv.org/abs/2010.02369v1

    • [cs.LG]A Transformer-based Framework for Multivariate Time Series Representation Learning
    George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff
    http://arxiv.org/abs/2010.02803v1

    • [cs.LG]A Unifying View on Implicit Bias in Training Linear Neural Networks
    Chulhee Yun, Shankar Krishnan, Hossein Mobahi
    http://arxiv.org/abs/2010.02501v1

    • [cs.LG]A framework for predicting, interpreting, and improving Learning Outcomes
    Chintan Donda, Sayan Dasgupta, Soma S Dhavala, Keyur Faldu, Aditi Avasthi
    http://arxiv.org/abs/2010.02629v1

    • [cs.LG]Active Feature Acquisition with Generative Surrogate Models
    Yang Li, Junier B. Oliva
    http://arxiv.org/abs/2010.02433v1

    • [cs.LG]AdaLead: A simple and robust adaptive greedy search algorithm for sequence design
    Sam Sinai, Richard Wang, Alexander Whatley, Stewart Slocum, Elina Locane, Eric D. Kelsic
    http://arxiv.org/abs/
    9ff
    /2010.02141v1
    9ff
    /2010.02141v1)

    • [cs.LG]Adversarial Boot Camp: label free certified robustness in one epoch
    Ryan Campbell, Chris Finlay, Adam M Oberman
    http://arxiv.org/abs/2010.02508v1

    • [cs.LG]Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters
    Mathieu Barré, Clément Giron, Matthieu Mazzolini, Alexandre d’Aspremont
    http://arxiv.org/abs/2010.02762v1

    • [cs.LG]Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework
    Sohini Roychowdhury, Wenxi Li, Ebrahim Alareqi, Akhilesh Pandita, Ao Liu, Joakim Soderberg
    http://arxiv.org/abs/2010.02503v1

    • [cs.LG]Data-Driven Learning of Geometric Scattering Networks
    Alexander Tong, Frederik Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf
    http://arxiv.org/abs/2010.02415v1

    • [cs.LG]Deep Anomaly Detection by Residual Adaptation
    Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen
    http://arxiv.org/abs/2010.02310v1

    • [cs.LG]Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
    Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts
    http://arxiv.org/abs/2010.02809v1

    • [cs.LG]Denoising Diffusion Implicit Models
    Jiaming Song, Chenlin Meng, Stefano Ermon
    http://arxiv.org/abs/2010.02502v1

    • [cs.LG]Dif-MAML: Decentralized Multi-Agent Meta-Learning
    Mert Kayaalp, Stefan Vlaski, Ali H. Sayed
    http://arxiv.org/abs/2010.02870v1

    • [cs.LG]Directional Graph Networks
    Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò
    http://arxiv.org/abs/2010.02863v1

    • [cs.LG]Disentangle-based Continual Graph Representation Learning
    Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang
    http://arxiv.org/abs/2010.02565v1

    • [cs.LG]Disentangled Generative Causal Representation Learning
    Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
    http://arxiv.org/abs/2010.02637v1

    • [cs.LG]Diverse Exploration via InfoMax Options
    Yuji Kanagawa, Tomoyuki Kaneko
    http://arxiv.org/abs/2010.02756v1

    • [cs.LG]Efficient computation of contrastive explanations
    André Artelt, Barbara Hammer
    http://arxiv.org/abs/2010.02647v1

    • [cs.LG]Estimating conditional density of missing values using deep Gaussian mixture model
    Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski
    http://arxiv.org/abs/2010.02183v2

    • [cs.LG]Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering
    Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer’s Disease Neuroimaging Initiative
    http://arxiv.org/abs/2010.02811v1

    • [cs.LG]Fixing Asymptotic Uncertainty of Bayesian Neural Networks with Infinite ReLU Features
    Agustinus Kristiadi, Matthias Hein, Philipp Hennig
    http://arxiv.org/abs/2010.02709v1

    • [cs.LG]Friendship is All we Need: A Multi-graph Embedding Approach for Modeling Customer Behavior
    Amir Jalilifard, Dehua Chen, Lucas Pereira Lopes, Isaac Ben-Akiva, Pedro Henrique Gonçalves Inazawa
    http://arxiv.org/abs/2010.02780v1

    • [cs.LG]Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Reconstruction
    Karl D. D. Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik
    http://arxiv.org/abs/2010.02392v1

    • [cs.LG]Generalized Matrix Factorization
    Łukasz Kidziński, Francis K. C. Hui, David I. Warton, Trevor Hastie
    http://arxiv.org/abs/2010.02469v1

    • [cs.LG]Goal-directed Generation of Discrete Structures with Conditional Generative Models
    Amina Mollaysa, Brooks Paige, Alexandros Kalousis
    http://arxiv.org/abs/2010.02311v1

    • [cs.LG]Identifying Spurious Correlations for Robust Text Classification
    Zhao Wang, Aron Culotta
    http://arxiv.org/abs/2010.02458v1

    • [cs.LG]Improved Analysis of Clipping Algorithms for Non-convex Optimization
    Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang
    http://arxiv.org/abs/2010.02519v1

    • [cs.LG]Interpretable Sequence Classification via Discrete Optimization
    Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
    http://arxiv.org/abs/2010.02819v1

    • [cs.LG]Latent World Models For Intrinsically Motivated Exploration
    Aleksandr Ermolov, Nicu Sebe
    http://arxiv.org/abs/2010.02302v1

    • [cs.LG]Learn to Synchronize, Synchronize to Learn
    Pietro Verzelli, Cesare Alippi, Lorenzo Livi
    http://arxiv.org/abs/2010.02860v1

    • [cs.LG]Learnable Uncertainty under Laplace Approximations
    Agustinus Kristiadi, Matthias Hein, Philipp Hennig
    http://arxiv.org/abs/2010.02720v1

    • [cs.LG]Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
    Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu
    http://arxiv.org/abs/2010.02347v1

    • [cs.LG]Lower Bounds and Optimal Algorithms for Personalized Federated Learning
    Filip Hanzely, Slavomír Hanzely, Samuel Horváth, Peter Richtárik
    http://arxiv.org/abs/2010.02372v1

    • [cs.LG]MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization
    Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun
    http://arxiv.org/abs/2010.02318v1

    • [cs.LG]Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients
    Zijian Lei, Liang Lan
    http://arxiv.org/abs/2010.02577v1

    • [cs.LG]Meta-Learning of Compositional Task Distributions in Humans and
    1b91
    Machines
    Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
    http://arxiv.org/abs/2010.02317v1

    • [cs.LG]Metadata-Based Detection of Child Sexual Abuse Material
    Mayana Pereira, Rahul Dodhia, Richard Brown
    http://arxiv.org/abs/2010.02387v1

    • [cs.LG]Multi-typed Objects Multi-view Multi-instance Multi-label Learning
    Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
    http://arxiv.org/abs/2010.02539v1

    • [cs.LG]NCP-VAE: Variational Autoencoders with Noise Contrastive Priors
    Jyoti Aneja, Alexander Schwing, Jan Kautz, Arash Vahdat
    http://arxiv.org/abs/2010.02917v1

    • [cs.LG]On the Universality of Rotation Equivariant Point Cloud Networks
    Nadav Dym, Haggai Maron
    http://arxiv.org/abs/2010.02449v1

    • [cs.LG]Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processing
    Ankit Pal, Malaikannan Sankarasubbu
    http://arxiv.org/abs/2010.02417v1

    • [cs.LG]Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks
    Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta
    http://arxiv.org/abs/2010.02419v1

    • [cs.LG]Randomized Value Functions via Posterior State-Abstraction Sampling
    Dilip Arumugam, Benjamin Van Roy
    http://arxiv.org/abs/2010.02383v1

    • [cs.LG]Real-time Uncertainty Decomposition for Online Learning Control
    Jonas Umlauft, Armin Lederer, Thomas Beckers, Sandra Hirche
    http://arxiv.org/abs/2010.02613v1

    • [cs.LG]Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate
    Zhiyuan Li, Kaifeng Lyu, Sanjeev Arora
    http://arxiv.org/abs/2010.02916v1

    • [cs.LG]Recovering Causal Structures from Low-Order Conditional Independencies
    Marcel Wienöbst, Maciej Liśkiewicz
    http://arxiv.org/abs/2010.02675v1

    • [cs.LG]Reward Propagation Using Graph Convolutional Networks
    Martin Klissarov, Doina Precup
    http://arxiv.org/abs/2010.02474v1

    • [cs.LG]Robust priors for regularized regression
    Sebastian Bobadilla-Suarez, Matt Jones, Bradley C. Love
    http://arxiv.org/abs/2010.02610v1

    • [cs.LG]Safety Aware Reinforcement Learning (SARL)
    Santiago Miret, Somdeb Majumdar, Carroll Wainwright
    http://arxiv.org/abs/2010.02846v1

    • [cs.LG]Short-term prediction of photovoltaic power generation using Gaussian process regression
    Yahya Al Lawati, Jack Kelly, Dan Stowell
    http://arxiv.org/abs/2010.02275v1

    • [cs.LG]Subspace Embeddings Under Nonlinear Transformations
    Aarshvi Gajjar, Cameron Musco
    http://arxiv.org/abs/2010.02264v1

    • [cs.LG]Testing Tail Weight of a Distribution Via Hazard Rate
    Maryam Aliakbarpour, Amartya Shankha Biswas, Kavya Ravichandran, Ronitt Rubinfeld
    http://arxiv.org/abs/2010.02888v1

    • [cs.LG]The Effectiveness of Memory Replay in Large Scale Continual Learning
    Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li
    http://arxiv.org/abs/2010.02418v1

    • [cs.LG]Understanding Classifier Mistakes with Generative Models
    Laëtitia Shao, Yang Song, Stefano Ermon
    http://arxiv.org/abs/2010.02364v1

    • [cs.LG]Unsupervised Hierarchical Concept Learning
    Sumegh Roychowdhury, Sumedh A. Sontakke, Nikaash Puri, Mausoom Sarkar, Milan Aggarwal, Pinkesh Badjatiya, Balaji Krishnamurthy, Laurent Itti
    http://arxiv.org/abs/2010.02556v1

    • [cs.LG]Usable Information and Evolution of Optimal Representations During Training
    Michael Kleinman, Daksh Idnani, Alessandro Achille, Jonathan C. Kao
    http://arxiv.org/abs/2010.02459v1

    • [cs.LG]Winning Lottery Tickets in Deep Generative Models
    Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi
    http://arxiv.org/abs/2010.02350v1

    • [cs.LG]Wound and episode level readmission risk or weeks to readmit: Why do patients get readmitted? How long does it take for a patient to get readmitted?
    Subba Reddy Oota, Nafisur Rahman, Shahid Saleem Mohammed, Jeffrey Galitz, Ming Liu
    http://arxiv.org/abs/2010.02742v1

    • [cs.MA]Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping
    Ceyer Wakilpoor, Patrick J. Martin, Carrie Rebhuhn, Amanda Vu
    http://arxiv.org/abs/2010.02663v1

    • [cs.NE]Conditional Generative Adversarial Networks to Model Urban Outdoor Air Pollution
    Jamal Toutouh
    http://arxiv.org/abs/2010.02244v1

    • [cs.NE]The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
    Elliot Meyerson, Risto Miikkulainen
    http://arxiv.org/abs/2010.02354v1

    • [cs.PF]LETI: Latency Estimation Tool and Investigation of Neural Networks inference on Mobile GPU
    Evgeny Ponomarev, Sergey Matveev, Ivan Oseledets
    http://arxiv.org/abs/2010.02871v1

    • [cs.RO]Comprehending finger flexor tendon pulley system using a computational analysis
    Vitthal Khatik, Shyam Sunder Nishad, Anupam Saxena
    http://arxiv.org/abs/2010.02580v1

    • [cs.RO]Network Localization Based Planning for Autonomous Underwater Vehicles with Inter-Vehicle Ranging
    Alan Papalia, John Leonard
    http://arxiv.org/abs/2010.02861v1

    • [cs.RO]Policy learning in SE(3) action spaces
    Dian Wang, Colin Kohler, Robert Platt
    http://arxiv.org/abs/2010.02798v1

    • [cs.RO]Projection Mapping Implementation: Enabling Direct Externalization of Perception Results and Action Intent to Improve Robot Explainability
    Zhao Han, Alexander Wilkinson, Jenna Parrillo, Jordan Allspaw, Holly A. Yanco
    http://arxiv.org/abs/2010.02263v1

    • [cs.RO]Reasons People Want Explanations After Unrecoverable Pre-Handover Failures
    Zhao Han, Holly A. Yanco
    http://arxiv.org/abs/2010.02278v1

    • [cs.RO]Rigid Body Dynamic Simulation with Line and Surface Contact
    Jiayin Xie, Nilanjan Chakraborty
    http://arxiv.org/abs/2010.02291v1

    • [cs.RO]Target State Estimation and Prediction for High Speed Interception
    Aashay Bhise, Shuvrangshu Jana, Lima Agnel Tony, Debasish Ghose
    http://arxiv.org/abs/2010.02512v1

    • [cs.RO]The Autonomous Racing Software Stack of the KIT19d
    Sherif Nekkah, Josua Janus, Mario Boxheimer, Lars Ohnemus, Stefan Hirsch, Benjamin Schmidt, Yuchen Liu, David Borbély, Florian Keck, Katharina Bachmann, Lukasz Bleszynski
    http://arxiv.org/abs/2010.02828v1

    • [cs.RO]Using Soft Actor-Critic for Low-Level UAV Control
    Gabriel Moraes Barros, Esther Luna Colombini
    http://arxiv.org/abs/2010.02293v1

    • [cs.SE]Astraea: Grammar-based Fairness Testing
    Ezekiel Soremekun, Sakshi Udeshi, Sudipta Chattopadhyay
    http://arxiv.org/abs/2010.02542v1

    • [cs.SE]Reproducible Science with LaTeX
    Haim Bar, HaiYing Wang
    http://arxiv.org/abs/2010.01482v2

    • [cs.SI]Spectral clustering of annotated graphs using a factor graph representation
    Tatsuro Kawamoto
    http://arxiv.org/abs/2010.02791v1

    • [eess.AS]A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments
    Youngmoon Jung, Yeunju Choi, Hyungjun Lim, Hoirin Kim
    http://arxiv.org/abs/2010.02477v1

    • [eess.AS]The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTS
    Wen-Chin Huang, Tomoki Hayashi, Shinji Watanabe, Tomoki Toda
    http://arxiv.org/abs/2010.02434v1

    • [eess.IV]COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19
    Faraz Khoshbakhtian, Ahmed Bilal Ashraf, Shehroz S. Khan
    http://arxiv.org/abs/2010.02814v1

    • [eess.IV]Histopathological Stain Transfer using Style Transfer Network with Adversarial Loss
    Harshal Nishar, Nikhil Chavanke, Nitin Singhal
    http://arxiv.org/abs/2010.02659v1

    • [eess.SY]Model-Free Control of Dynamical Systems with Deep Reservoir Computing
    Daniel Canaday, Andrew Pomerance, Daniel J Gauthier
    http://arxiv.org/abs/2010.02285v1

    • [math.DS]ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic Equations
    Abd AlRahman AlMomani, Erik Bollt
    http://arxiv.org/abs/2010.02411v1

    • [math.MG]An Infinite, Converging, Sequence of Brocard Porisms
    Dan Reznik, Ronaldo Garcia
    http://arxiv.org/abs/2010.01391v2

    • [math.NA]Iterative Methods for Computing Eigenvectors of Nonlinear Operators
    Guy Gilboa
    http://arxiv.org/abs/2010.02890v1

    • [math.OC]SCOBO: Sparsity-Aware Comparison Oracle Based Optimization
    HanQin Cai, Daniel Mckenzie, Wotao Yin, Zhenliang Zhang
    http://arxiv.org/abs/2010.02479v1

    • [math.PR]Limit results for $L^p$ functionals of weighted CUSUM processes
    Lajos Horváth, Gregory Rice
    http://arxiv.org/abs/2010.02476v1

    • [math.ST]A Power Analysis of the Conditional Randomization Test and Knockoffs
    Wenshuo Wang, Lucas Janson
    http://arxiv.org/abs/2010.02304v1

    • [math.ST]Improving Nonparametric Density Estimation with Tensor Decompositions
    Robert A. Vandermeulen
    http://arxiv.org/abs/2010.02425v1

    • [math.ST]Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
    Yuchen Zhou, Anru R. Zhang, Lili Zheng, Yazhen Wang
    http://arxiv.org/abs/2010.02482v1

    • [physics.ao-ph]Global soil moisture from in-situ measurements using machine learning — SoMo.ml
    Sungmin O, Rene Orth
    http://arxiv.org/abs/2010.02374v1

    • [physics.ao-ph]Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows
    Jan Ackmann, Peter D. Düben, Tim N. Palmer, Piotr K. Smolarkiewicz
    http://arxiv.org/abs/2010.02866v1

    • [q-bio.MN]Gene Regulatory Network Inference with Latent Force Models
    Jacob Moss, Pietro Lió
    http://arxiv.org/abs/2010.02555v1

    • [q-bio.QM]Inferring Microbial Biomass Yield and Cell Weight using Probabilistic Macrochemical Modeling
    Antonio R. Paiva, Giovanni Pilloni
    http://arxiv.org/abs/2010.02759v1

    • [quant-ph]Tight bounds on the mutual coherence of sensing matrices for Wigner D-functions on regular grids
    Arya Bangun, Arash Behboodi, Rudolf Mathar
    http://arxiv.org/abs/2010.02344v1

    • [stat.AP]Forecasting COVID-19 daily cases using phone call data
    Bahman Rostami-Tabar, Juan F. Rendon-Sanchez
    http://arxiv.org/abs/2010.02252v1

    • [stat.AP]No increase in COVID-19 mortality after the 2020 primary elections in the USA
    Eric M. Feltham, Laura Forastiere, Marcus Alexander, Nicholas A. Christakis
    http://arxiv.org/abs/2010.02896v1

    • [stat.ME]A new Framework for Causal Discovery
    Peter Jan van Leeuwen, Michael DeCaria, Nachiketa Chakaborty, Manuel Pulido
    http://arxiv.org/abs/2010.02247v1

    • [stat.ME]Causal coupling inference from multivariate time series based on ordinal partition transition networks
    Narayan Puthanmadam Subramaniyam, Reik V. Donner, Davide Caron, Gabriella Panuccio, Jari Hyttinen
    http://arxiv.org/abs/2010.00948v2

    • [stat.ME]Detecting approximate replicate components of a high-dimensional random vector with latent structure
    Xin Bing, Florentina Bunea, Marten Wegkamp
    http://arxiv.org/abs/2010.02288v1

    • [stat.ME]Determining the Number of Factors in High-dimensional Generalised Latent Factor Models
    Yunxiao Chen, Xiaoou Li
    http://arxiv.org/abs/2010.02326v1

    • [stat.ME]Doubly Robust Covariate Shift Regression with Semi-nonparametric Nuisance Models
    Molei Liu, Yi Zhang, Tianxi Cai
    http://arxiv.org/abs/2010.02521v1

    • [stat.ME]Multi-scale graph principal component analysis for connectomics
    Steven Winter, Zhengwu Zhang, David Dunson
    http://arxiv.org/abs/2010.02332v1

    • [stat.ME]Power Analysis for Stepped Wedge Trials with Two Treatments
    Phillip T. Sundin, Catherine M. Crespi
    http://arxiv.org/abs/2010.02385v1

    • [stat.ME]Unified Robust Estimation via the COCO
    Zhu Wang
    http://arxiv.org/abs/2010.02848v1

    • [stat.ML]Constraining Logits by Bounded Function for Adversarial Robustness
    Sekitoshi Kanai, Masanori Yamada, Shin’ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida
    http://arxiv.org/abs/2010.02558v1

    • [stat.ML]Gaussian Process Models with Low-Rank Correlation Matrices for Both Continuous and Categorical Inputs
    Dominik Kirchhoff, Sonja Kuhnt
    http://arxiv.org/abs/2010.02574v1

    • [stat.ML]Kernel regression in high dimension: Refined analysis beyond double descent
    Fanghui Liu, Zhenyu Liao, Johan A. K. Suykens
    http://arxiv.org/abs/2010.02681v1

    • [stat.ML]On the Universality of the Double Descent Peak in Ridgeless Regression
    David Holzmüller
    http://arxiv.org/abs/2010.01851v2

    • [stat.ML]Recyclable Gaussian Processes
    Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
    http://arxiv.org/abs/2010.02554v1

    • [stat.ML]Self-Supervised Variational Auto-Encoders
    Ioannis Gatopoulos, Jakub M. Tomczak
    http://arxiv.org/abs/2010.02014v2

    • [stat.ML]Splitting Gaussian Process Regression for Streaming Data
    Nick Terry, Youngjun Choe
    http://arxiv.org/abs/2010.02424v1