cond-mat.mes-hall - 尺度和物理纳米

    cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 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.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MS - 数学软件 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.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.mes-hall]Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
    • [cs.AI]AUBER: Automated BERT Regularization
    • [cs.AI]Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games
    • [cs.AI]Conformance Checking over Uncertain Event Data
    • [cs.AI]Emotion in Future Intelligent Machines
    • [cs.AI]Explainable Natural Language Reasoning via Conceptual Unification
    • [cs.AI]Explaining AI as an Exploratory Process: The Peircean Abduction Model
    • [cs.AI]Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control
    • [cs.AI]Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network
    • [cs.AI]Learning Rewards from Linguistic Feedback
    • [cs.AI]OWL2Vec*: Embedding of OWL Ontologies
    • [cs.AI]RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion
    • [cs.AI]Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network
    • [cs.AI]TaxiNLI: Taking a Ride up the NLU Hill
    • [cs.AI]Toolpath design for additive manufacturing using deep reinforcement learning
    • [cs.AI]Uncertainty Estimation For Community Standards Violation In Online Social Networks
    • [cs.AI]Uncertainty Reasoning for Probabilistic Petri Nets via Bayesian Networks
    • [cs.AI]Visual Semantic Multimedia Event Model for Complex Event Detection in Video Streams
    • [cs.CE]Computational framework for real-time diagnostics and prognostics of aircraft actuation systems
    • [cs.CG]A task-based approach to parallel parametric linear programming solving, and application to polyhedral computations
    • [cs.CL]A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing
    • [cs.CL]A Vietnamese Dataset for Evaluating Machine Reading Comprehension
    • [cs.CL]Abusive Language Detection and Characterization of Twitter Behavior
    • [cs.CL]BERT for Monolingual and Cross-Lingual Reverse Dictionary
    • [cs.CL]Bridging Information-Seeking Human Gaze and Machine Reading Comprehension
    • [cs.CL]Can Automatic Post-Editing Improve NMT?
    • [cs.CL]Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
    • [cs.CL]Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study
    • [cs.CL]Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
    • [cs.CL]Development of Word Embeddings for Uzbek Language
    • [cs.CL]Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text
    • [cs.CL]End-to-End Spoken Language Understanding Without Full Transcripts
    • [cs.CL]Ethically Collecting Multi-Modal Spontaneous Conversations with People that have Cognitive Impairments
    • [cs.CL]Generation of lyrics lines conditioned on music audio clips
    • [cs.CL]INSPIRED: Toward Sociable Recommendation Dialog Systems
    • [cs.CL]Improving Low Compute Language Modeling with In-Domain Embedding Initialisation
    • [cs.CL]LEBANONUPRISING: a thorough study of Lebanese tweets
    • [cs.CL]Learning Hard Retrieval Cross Attention for Transformer
    • [cs.CL]MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension
    • [cs.CL]Multiple Word Embeddings for Increased Diversity of Representation
    • [cs.CL]Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets
    • [cs.CL]Neural RST-based Evaluation of Discourse Coherence
    • [cs.CL]On Romanization for Model Transfer Between Scripts in Neural Machine Translation
    • [cs.CL]Point-of-Interest Type Inference from Social Media Text
    • [cs.CL]RDSGAN: Rank-based Distant Supervision Relation Extraction with Generative Adversarial Framework
    • [cs.CL]TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text
    • [cs.CL]Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding
    • [cs.CL]Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning
    • [cs.CL]Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions
    • [cs.CR]A machine learning approach for detecting CNAME cloaking-based tracking on the Web
    • [cs.CR]Decentralized Patient Centric e-Health Record Management System using Blockchain and IPFS
    • [cs.CR]The General Law Principles for Protection the Personal Data and their Importance
    • [cs.CV]3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning
    • [cs.CV]A robustness measure for singular point and index estimation in discretized orientation and vector fields
    • [cs.CV]Adversarial Semi-Supervised Multi-Domain Tracking
    • [cs.CV]Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information
    • [cs.CV]Asymmetric Contextual Modulation for Infrared Small Target Detection
    • [cs.CV]AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers
    • [cs.CV]Attention-Aware Noisy Label Learning for Image Classification
    • [cs.CV]Attention-driven Body Pose Encoding for Human Activity Recognition
    • [cs.CV]Benchmark for Anonymous Video Analytics
    • [cs.CV]Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
    • [cs.CV]CoKe: Localized Contrastive Learning for Robust Keypoint Detection
    • [cs.CV]CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos
    • [cs.CV]Deep Learning-based Pipeline for Module Power Prediction from EL Measurements
    • [cs.CV]Demographic Influences on Contemporary Art with Unsupervised Style Embeddings
    • [cs.CV]Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing
    • [cs.CV]Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
    • [cs.CV]Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval
    • [cs.CV]Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning
    • [cs.CV]Joint Contrastive Learning with Infinite Possibilities
    • [cs.CV]Knowledge Fusion Transformers for Video Action Recognition
    • [cs.CV]Learning Object Detection from Captions via Textual Scene Attributes
    • [cs.CV]Lip-reading with Densely Connected Temporal Convolutional Networks
    • [cs.CV]Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
    • [cs.CV]Multi-channel Deep 3D Face Recognition
    • [cs.CV]Pruning Filter in Filter
    • [cs.CV]Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network
    • [cs.CV]SIR: Similar Image Retrieval for Product Search in E-Commerce
    • [cs.CV]Teacher-Critical Training Strategies for Image Captioning
    • [cs.CV]Texture-aware Multi-resolution Image Inpainting
    • [cs.CV]The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders
    • [cs.CV]Toward Privacy and Utility Preserving Image Representation
    • [cs.CV]Towards Adaptive Semantic Segmentation by Progressive Feature Refinement
    • [cs.CV]Uncertainty Estimation and Sample Selection for Crowd Counting
    • [cs.CY]Legal Judgment Prediction (LJP) Amid the Advent of Autonomous AI Legal Reasoning
    • [cs.CY]Towards decolonising computational sciences
    • [cs.DC]Byzantine Fault-Tolerance in Decentralized Optimization under Minimal Redundancy
    • [cs.DC]CTDGM: A Data Grouping Model Based on Cache Transaction for Unstructured Data Storage Systems
    • [cs.DC]Communication-Optimal Parallel Standard and Karatsuba Integer Multiplication in the Distributed Memory Model
    • [cs.DC]Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
    • [cs.DC]Deterministic PRAM Approximate Shortest Paths in Polylogarithmic Time and Slightly Super-Linear Work
    • [cs.DC]Distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices
    • [cs.DC]HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
    • [cs.DC]Pairbot: A Novel Model for Autonomous Mobile Robot Systems Consisting of Paired Robots
    • [cs.GT]Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach
    • [cs.HC]Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols
    • [cs.IR]User-item matching for recommendation fairness: a view from item-providers
    • [cs.IT]An Upper Bound for Wiretap Multi-way Channels
    • [cs.IT]Impact and Calibration of Nonlinear Reciprocity Mismatch in Massive MIMO
    • [cs.IT]Moment Generating Function of the AoI in Multi-Source Systems With Packet Management
    • [cs.IT]Physical Layer Security Enhancement Using Artificial Noise in Cellular Vehicle-to-Everything (C-V2X) Networks
    • [cs.IT]Secure Aggregation with Heterogeneous Quantization in Federated Learning
    • [cs.LG]$f$-Divergence Variational Inference
    • [cs.LG]A Framework of Learning Through Empirical Gain Maximization
    • [cs.LG]A law of robustness for two-layers neural networks
    • [cs.LG]Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling
    • [cs.LG]An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data
    • [cs.LG]Attention that does not Explain Away
    • [cs.LG]DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
    • [cs.LG]Detecting Autism Spectrum Disorder using Machine Learning
    • [cs.LG]Direct Multi-hop Attention based Graph Neural Network
    • [cs.LG]Efficient Kernel Transfer in Knowledge Distillation
    • [cs.LG]Ensemble Multi-Source Domain Adaptation with Pseudolabels
    • [cs.LG]Facilitate the Parametric Dimension Reduction by Gradient Clipping
    • [cs.LG]Finite-Time Analysis for Double Q-learning
    • [cs.LG]Geometric Matrix Completion: A Functional View
    • [cs.LG]Global convergence of Negative Correlation Extreme Learning Machine
    • [cs.LG]Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation
    • [cs.LG]Improving Auto-Augment via Augmentation-Wise Weight Sharing
    • [cs.LG]Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data
    • [cs.LG]MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention
    • [cs.LG]Manifold Adaptive Multiple Kernel K-Means for Clustering
    • [cs.LG]Measuring Systematic Generalization in Neural Proof Generation with Transformers
    • [cs.LG]One Reflection Suffice
    • [cs.LG]Online Convex Optimization in Changing Environments and its Application to Resource Allocation
    • [cs.LG]Pea-KD: Parameter-efficient and Accurate Knowledge Distillation
    • [cs.LG]PettingZoo: Gym for Multi-Agent Reinforcement Learning
    • [cs.LG]Rain Code : Forecasting Spatiotemporal Precipitation based on Multi-frames Feature using ConvLSTM
    • [cs.LG]Regress Consistently when Oblivious Outliers Overwhelm
    • [cs.LG]ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks
    • [cs.LG]Rethinking Attention with Performers
    • [cs.LG]Some Remarks on Replicated Simulated Annealing
    • [cs.LG]Spectral Embedding of Graph Networks
    • [cs.LG]Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
    • [cs.LG]StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks
    • [cs.LG]The Role of Isomorphism Classes in Multi-Relational Datasets
    • [cs.LG]Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach
    • [cs.LG]Uncovering Feature Interdependencies with Non-Greedy Random Forests
    • [cs.LG]Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities
    • [cs.MS]Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
    • [cs.MS]ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran
    • [cs.NE]A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs
    • [cs.NE]A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms
    • [cs.NE]Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes
    • [cs.NE]Non-elitist Evolutionary Multi-objective Optimizers Revisited
    • [cs.NE]Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
    • [cs.NI]A General Framework for Charger Scheduling Optimization Problems
    • [cs.RO]Encoding cloth manipulations using a graph of states and transitions
    • [cs.RO]Explainable Deep Reinforcement Learning for UAV Autonomous Navigation
    • [cs.RO]Meta Partial Benders Decomposition for the Logistics Service Network Design Problem
    • [cs.RO]Multi-Pen Robust Robotic 3D Drawing Using Closed-Loop Planning
    • [cs.RO]Reality-assisted evolution of soft robots through large-scale physical experimentation: a review
    • [cs.RO]S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
    • [cs.RO]Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning
    • [cs.SI]Weight Prediction for Variants of Weighted Directed Networks
    • [econ.EM]Local Regression Distribution Estimators
    • [eess.AS]Embedded Emotions — A Data Driven Approach to Learn Transferable Feature Representations from Raw Speech Input for Emotion Recognition
    • [eess.AS]Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice Conversion
    • [eess.IV]COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
    • [eess.IV]Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks
    • [eess.IV]FAN: Frequency Aggregation Network for Real Image Super-resolution
    • [eess.IV]Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
    • [eess.IV]Learning an optimal PSF-pair for ultra-dense 3D localization microscopy
    • [eess.IV]Multi-focus Image Fusion for Visual Sensor Networks
    • [eess.IV]TorchRadon: Fast Differentiable Routines for Computed Tomography
    • [eess.SP]Hidden Markov Models for Pipeline Damage Detection Using Piezoelectric Transducers
    • [eess.SP]Learning to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimate
    • [eess.SY]Co-design of Control and Planning for Multi-rotor UAVs with Signal Temporal Logic Specifications
    • [eess.SY]Cooperative Path Integral Control for Stochastic Multi-Agent Systems
    • [eess.SY]Efficient, Decentralized, and Collaborative Multi-Robot Exploration using Optimal Transport Theory
    • [eess.SY]Frequency-Domain Modelling of Reset Control Systems using an Impulsive Description
    • [math.OC]Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation
    • [math.OC]First-order Optimization for Superquantile-based Supervised Learning
    • [math.OC]Optimal Control of Industrial Assembly Lines
    • [math.OC]Wasserstein Distributionally Robust Inverse Multiobjective Optimization
    • [math.PR]Couplings for Andersen Dynamics
    • [math.ST]Benign overfitting in ridge regression
    • [math.ST]Testing for linearity in boundary regression models with application to maximal life expectancies
    • [q-bio.QM]Learning to swim in potential flow
    • [stat.AP]Enhanced Bayesian Model Updating with Incomplete Modal Information Using Parallel, Interactive and Adaptive Markov Chains
    • [stat.AP]Using sex and gender in survey adjustment
    • [stat.ME]Double/Debiased Machine Learning for Logistic Partially Linear Model
    • [stat.ME]Maximum Entropy classification for record linkage
    • [stat.ME]On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation for Causal Inference
    • [stat.ME]Space-Time Covariance Models on Networks with An Application on Streams
    • [stat.ME]Spatial Statistical Models: an overview under the Bayesian Approach
    • [stat.ME]The Illusion of the Illusion of Sparsity: An exercise in prior sensitivity
    • [stat.ML]Accurate and Robust Feature Importance Estimation under Distribution Shifts
    • [stat.ML]Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification
    • [stat.ML]Deep Equals Shallow for ReLU Networks in Kernel Regimes
    • [stat.ML]EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data
    • [stat.ML]Few-shot Learning for Time-series Forecasting
    • [stat.ML]Modelisation of competition between times series
    • [stat.ML]Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso
    • [stat.ML]Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks

    ·····································

    • [cond-mat.mes-hall]Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
    V. Nguyen, S. B. Orbell, D. T. Lennon, H. Moon, F. Vigneau, L. C. Camenzind, L. Yu, D. M. Zumbühl, G. A. D. Briggs, M. A. Osborne, D. Sejdinovic, N. Ares
    http://arxiv.org/abs/2009.14825v1

    • [cs.AI]AUBER: Automated BERT Regularization
    Hyun Dong Lee, Seongmin Lee, U Kang
    http://arxiv.org/abs/2009.14409v1

    • [cs.AI]Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games
    David Milec, Jakub Černý, Viliam Lisý, Bo An
    http://arxiv.org/abs/2009.14521v1

    • [cs.AI]Conformance Checking over Uncertain Event Data
    Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
    http://arxiv.org/abs/2009.14452v1

    • [cs.AI]Emotion in Future Intelligent Machines
    Marwen Belkaid, Luiz Pessoa
    http://arxiv.org/abs/2009.14810v1

    • [cs.AI]Explainable Natural Language Reasoning via Conceptual Unification
    Marco Valentino, Mokanarangan Thayaparan, André Freitas
    http://arxiv.org/abs/2009.14539v1

    • [cs.AI]Explaining AI as an Exploratory Process: The Peircean Abduction Model
    Robert R. Hoffman, William J. Clancy, Shane T. Mueller
    http://arxiv.org/abs/2009.14795v1

    • [cs.AI]Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control
    Jiqian Dong, Sikai Chen, Yujie Li, Runjia Du, Aaron Steinfeld, Samuel Labi
    http://arxiv.org/abs/2009.14665v1

    • [cs.AI]Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network
    Yuxuan Wu, Hideki Nakayama
    http://arxiv.org/abs/2009.14759v1

    • [cs.AI]Learning Rewards from Linguistic Feedback
    Theodore R. Sumers, Mark K. Ho, Robert D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths
    http://arxiv.org/abs/2009.14715v1

    • [cs.AI]**OWL2Vec: Embedding of OWL Ontologies
    Jiaoyan Chen, Pan Hu, Ernesto Jimenez-Ruiz, Ole Magnus Holter, Denvar Antonyrajah, Ian Horrocks
    http://arxiv.org/abs/2009.14654v1

    • [cs.AI]RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion
    Youri Xu, E Haihong, Song Meina
    http://arxiv.org/abs/2009.14653v1

    • [cs.AI]Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network
    Xing Wang, Alexander Vinel
    http://arxiv.org/abs/2009.14297v1

    • [cs.AI]TaxiNLI: Taking a Ride up the NLU Hill
    Pratik Joshi, Somak Aditya, Aalok Sathe, Monojit Choudhury
    http://arxiv.org/abs/2009.14505v1

    • [cs.AI]Toolpath design for additive manufacturing using deep reinforcement learning
    Mojtaba Mozaffar, Ablodghani Ebrahimi, Jian Cao
    http://arxiv.org/abs/2009.14365v1

    • [cs.AI]Uncertainty Estimation For Community Standards Violation In Online Social Networks
    Narjes Torabi, Nimar S. Arora, Emma Yu, Kinjal Shah, Wenshun Liu, Michael Tingley
    http://arxiv.org/abs/2009.14519v1

    • [cs.AI]Uncertainty Reasoning for Probabilistic Petri Nets via Bayesian Networks
    Rebecca Bernemann, Benjamin Cabrera, Reiko Heckel, Barbara König
    http://arxiv.org/abs/2009.14817v1

    • [cs.AI]Visual Semantic Multimedia Event Model for Complex Event Detection in Video Streams
    Piyush Yadav, Edward Curry
    http://arxiv.org/abs/2009.14525v1

    • [cs.CE]Computational framework for real-time diagnostics and prognostics of aircraft actuation systems
    Pier Carlo Berri, Matteo D. L. Dalla Vedova, Laura Mainini
    http://arxiv.org/abs/2009.14645v1

    • [cs.CG]A task-based approach to parallel parametric linear programming solving, and application to polyhedral computations
    Camille Coti, David Monniaux, Hang Yu
    http://arxiv.org/abs/rg/abs/2009.14435v1

    • [cs.CL]A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing
    Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji
    http://arxiv.org/abs/2009.14809v1

    • [cs.CL]A Vietnamese Dataset for Evaluating Machine Reading Comprehension
    Kiet Van Nguyen, Duc-Vu Nguyen, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen
    http://arxiv.org/abs/2009.14725v1

    • [cs.CL]Abusive Language Detection and Characterization of Twitter Behavior
    Dincy Davis, Reena Murali, Remesh Babu
    http://arxiv.org/abs/2009.14261v1

    • [cs.CL]BERT for Monolingual and Cross-Lingual Reverse Dictionary
    Hang Yan, Xiaonan Li, Xipeng Qiu
    http://arxiv.org/abs/2009.14790v1

    • [cs.CL]Bridging Information-Seeking Human Gaze and Machine Reading Comprehension
    Jonathan Malmaud, Roger Levy, Yevgeni Berzak
    http://arxiv.org/abs/2009.14780v1

    • [cs.CL]Can Automatic Post-Editing Improve NMT?
    Shamil Chollampatt, Raymond Hendy Susanto, Liling Tan, Ewa Szymanska
    http://arxiv.org/abs/2009.14395v1

    • [cs.CL]Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
    YuSheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun
    http://arxiv.org/abs/2009.13964v2

    • [cs.CL]Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study
    Saurabh Kulshreshtha, José Luis Redondo-García, Ching-Yun Chang
    http://arxiv.org/abs/2009.14304v1

    • [cs.CL]Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
    Zihan Liu, Genta Indra Winata, Peng Xu, Zhaojiang Lin, Pascale Fung
    http://arxiv.org/abs/2009.14510v1

    • [cs.CL]Development of Word Embeddings for Uzbek Language
    B. Mansurov, A. Mansurov
    http://arxiv.org/abs/2009.14384v1

    • [cs.CL]Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text
    Shaoxiong Ji, Erik Cambria, Pekka Marttinen
    http://arxiv.org/abs/2009.14578v1

    • [cs.CL]End-to-End Spoken Language Understanding Without Full Transcripts
    Hong-Kwang J. Kuo, Zoltán Tüske, Samuel Thomas, Yinghui Huang, Kartik Audhkhasi, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory, Luis Lastras
    http://arxiv.org/abs/2009.14386v1

    • [cs.CL]Ethically Collecting Multi-Modal Spontaneous Conversations with People that have Cognitive Impairments
    Angus Addlesee, Pierre Albert
    http://arxiv.org/abs/2009.14361v1

    • [cs.CL]Generation of lyrics lines conditioned on music audio clips
    Olga Vechtomova, Gaurav Sahu, Dhruv Kumar
    http://arxiv.org/abs/2009.14375v1

    • [cs.CL]INSPIRED: Toward Sociable Recommendation Dialog Systems
    Shirley Anugrah Hayati, Dongyeop Kang, Qingxiaoyang Zhu, Weiyan Shi, Zhou Yu
    http://arxiv.org/abs/2009.14306v1

    • [cs.CL]Improving Low Compute Language Modeling with In-Domain Embedding Initialisation
    Charles Welch, Rada Mihalcea, Jonathan K. Kummerfeld
    http://arxiv.org/abs/2009.14109v2

    • [cs.CL]LEBANONUPRISING: a thorough study of Lebanese tweets
    Reda Khalaf, Mireille Makary
    http://arxiv.org/abs/2009.14459v1

    • [cs.CL]Learning Hard Retrieval Cross Attention for Transformer
    Hongfei Xu, Qiuhui Liu
    http://arxiv.org/abs/2009.14658v1

    • [cs.CL]MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension
    Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li
    http://arxiv.org/abs/2009.14348v1

    • [cs.CL]Multiple Word Embeddings for Increased Diversity of Representation
    Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore
    http://arxiv.org/abs/2009.14394v1

    • [cs.CL]Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets
    Zewei Chu, Karl Stratos, Kevin Gimpel
    http://arxiv.org/abs/2009.14335v1

    • [cs.CL]Neural RST-based Evaluation of Discourse Coherence
    Grigorii Guz, Peyman Bateni, Darius Muglich, Giuseppe Carenini
    http://arxiv.org/abs/2009.14463v1

    • [cs.CL]On Romanization for Model Transfer Between Scripts in Neural Machine Translation
    Chantal Amrhein, Rico Sennrich
    http://arxiv.org/abs/2009.14824v1

    • [cs.CL]Point-of-Interest Type Inference from Social Media Text
    Danae Sánchez Villegas, Daniel Preoţiuc-Pietro, Nikolaos Aletras
    http://arxiv.org/abs/2009.14734v1

    • [cs.CL]RDSGAN: Rank-based Distant Supervision Relation Extraction with Generative Adversarial Framework
    Guoqing Luo, Jiaxin Pan, Min Peng
    http://arxiv.org/abs/2009.14722v1

    • [cs.CL]TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text
    Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
    http://arxiv.org/abs/2009.14262v1

    • [cs.CL]Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding
    Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi
    http://arxiv.org/abs/2009.14445v1

    • [cs.CL]Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning
    Subhojeet Pramanik, Shashank Mujumdar, Hima Patel
    http://arxiv.org/abs/2009.14457v1

    • [cs.CL]Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions
    Peter A. Jansen
    http://arxiv.org/abs/2009.14259v1

    • [cs.CR]A machine learning approach for detecting CNAME cloaking-based tracking on the Web
    Ha Dao, Kensuke Fukuda
    http://arxiv.org/abs/2009.14330v1

    • [cs.CR]Decentralized Patient Centric e-Health Record Management System using Blockchain and IPFS
    Gaganjeet Reen, Manasi Mohandas, S Venkatesan
    http://arxiv.org/abs/2009.14285v1

    • [cs.CR]The General Law Principles for Protection the Personal Data and their Importance
    Jonatas S. de Souza, Jair M. Abe, Luiz A. de Lima, Nilson A. de Souza
    http://arxiv.org/abs/2009.14313v1

    • [cs.CV]3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning
    Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
    http://arxiv.org/abs/2009.14798v1

    • [cs.CV]A robustness measure for singular point and index estimation in discretized orientation and vector fields
    Karl B. Hoffmann, Ivo F. Sbalzarini
    http://arxiv.org/abs/2009.14570v1

    • [cs.CV]Adversarial Semi-Supervised Multi-Domain Tracking
    Kourosh Meshgi, Maryam Sadat Mirzaei
    http://arxiv.org/abs/2009.14635v1

    • [cs.CV]Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information
    Darshan Gera, S Balasubramanian
    http://arxiv.org/abs/2009.14440v1

    • [cs.CV]Asymmetric Contextual Modulation for Infrared Small Target Detection
    Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
    http://arxiv.org/abs/2009.14530v1

    • [cs.CV]AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers
    Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee
    http://arxiv.org/abs/2009.14385v1

    • [cs.CV]Attention-Aware Noisy Label Learning for Image Classification
    Zhenzhen Wang, Chunyan Xu, Yap-Peng Tan, Junsong Yuan
    http://arxiv.org/abs/2009.14757v1

    • [cs.CV]Attention-driven Body Pose Encoding for Human Activity Recognition
    B Debnath, M O’brien, S Kumar, A Behera
    http://arxiv.org/abs/2009.14326v1

    • [cs.CV]Benchmark for Anonymous Video Analytics
    Ricardo Sanchez-Matilla, Andrea Cavallaro
    http://arxiv.org/abs/2009.14684v1

    • [cs.CV]Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
    Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang
    http://arxiv.org/abs/2009.14406v1

    • [cs.CV]CoKe: Localized Contrastive Learning for Robust Keypoint Detection
    Yutong Bai, Angtian Wang, Adam Kortylewski, Alan Yuille
    http://arxiv.org/abs/2009.14115v2

    • [cs.CV]CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos
    Samreen Anjum, Chi Lin, Danna Gurari
    http://arxiv.org/abs/2009.14265v1

    • [cs.CV]Deep Learning-based Pipeline for Module Power Prediction from EL Measurements
    Mathis Hoffmann, Claudia Buerhop-Lutz, Luca Reeb, Tobias Pickel, Thilo Winkler, Bernd Doll, Tobias Würfl, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein
    http://arxiv.org/abs/2009.14712v1

    • [cs.CV]Demographic Influences on Contemporary Art with Unsupervised Style Embeddings
    Nikolai Huckle, Noa Garcia, Yuta Nakashima
    http://arxiv.org/abs/2009.14545v1

    • [cs.CV]Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing
    Okan Köpüklü, Stefan Hörmann, Fabian Herzog, Hakan Cevikalp, Gerhard Rigoll
    http://arxiv.org/abs/2009.14639v1

    • [cs.CV]Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
    Okan Köpüklü, Jiapeng Zheng, Hang Xu, Gerhard Rigoll
    http://arxiv.org/abs/2009.14660v1

    • [cs.CV]Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval
    Tong Yu, Nicolas Padoy
    http://arxiv.org/abs/2009.14661v1

    • [cs.CV]Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning
    Xiangxi Shi, Xu Yang, Jiuxiang Gu, Shafiq Joty, Jianfei Cai
    http://arxiv.org/abs/2009.14352v1

    • [cs.CV]Joint Contrastive Learning with Infinite Possibilities
    Qi Cai, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei
    http://arxiv.org/abs/2009.14776v1

    • [cs.CV]Knowledge Fusion Transformers for Video Action Recognition
    Ganesh Samarth, Sheetal Ojha, Nikhil Pareek
    http://arxiv.org/abs/2009.13782v2

    • [cs.CV]Learning Object Detection from Captions via Textual Scene Attributes
    Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
    http://arxiv.org/abs/2009.14558v1

    • [cs.CV]Lip-reading with Densely Connected Temporal Convolutional Networks
    Pingchuan Ma, Yujiang Wang, Jie Shen, Stavros Petridis, Maja Pantic
    http://arxiv.org/abs/2009.14233v1

    • [cs.CV]Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
    Deniz Beker, Hiroharu Kato, Mihai Adrian Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon
    http://arxiv.org/abs/2009.14524v1

    • [cs.CV]Multi-channel Deep 3D Face Recognition
    Zhiqian You, Tingting Yang, Miao Jin
    http://arxiv.org/abs/2009.14743v1

    • [cs.CV]Pruning Filter in Filter
    Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun
    http://arxiv.org/abs/2009.14410v1

    • [cs.CV]Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network
    Sijin Kim, Namhyuk Ahn, Kyung-Ah Sohn
    http://arxiv.org/abs/2009.14563v1

    • [cs.CV]SIR: Similar Image Retrieval for Product Search in E-Commerce
    Theban Stanley, Nihar Vanjara, Yanxin Pan, Ekaterina Pirogova, Swagata Chakraborty, Abon Chaudhuri
    http://arxiv.org/abs/org/abs/2009.13836v1

    • [cs.CV]Teacher-Critical Training Strategies for Image Captioning
    Yiqing Huang, Jiansheng Chen
    http://arxiv.org/abs/2009.14405v1

    • [cs.CV]Texture-aware Multi-resolution Image Inpainting
    Mohamed Abbas Hedjazi, Yakup Genc
    http://arxiv.org/abs/2009.14721v1

    • [cs.CV]The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders
    Arash Akbarinia, Raquel Gil-Rodríguez, Alban Flachot, Matteo Toscani
    http://arxiv.org/abs/2009.14487v1

    • [cs.CV]Toward Privacy and Utility Preserving Image Representation
    Ahmadreza Mosallanezhad, Yasin Silva, Michelle V. Mancenido, Huan Liu
    http://arxiv.org/abs/2009.14376v1

    • [cs.CV]Towards Adaptive Semantic Segmentation by Progressive Feature Refinement
    Bin Zhang, Shengjie Zhao, Rongqing Zhang
    http://arxiv.org/abs/2009.14420v1

    • [cs.CV]Uncertainty Estimation and Sample Selection for Crowd Counting
    Viresh Ranjan, Boyu Wang, Mubarak Shah, Minh Hoai
    http://arxiv.org/abs/2009.14411v1

    • [cs.CY]Legal Judgment Prediction (LJP) Amid the Advent of Autonomous AI Legal Reasoning
    Lance Eliot
    http://arxiv.org/abs/2009.14620v1

    • [cs.CY]Towards decolonising computational sciences
    Abeba Birhane, Olivia Guest
    http://arxiv.org/abs/2009.14258v1

    • [cs.DC]Byzantine Fault-Tolerance in Decentralized Optimization under Minimal Redundancy
    Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
    http://arxiv.org/abs/2009.14763v1

    • [cs.DC]CTDGM: A Data Grouping Model Based on Cache Transaction for Unstructured Data Storage Systems
    Dongjie Zhu, Haiwen Du, Yundong Sun, Zhaoshuo Tian
    http://arxiv.org/abs/2009.14414v1

    • [cs.DC]Communication-Optimal Parallel Standard and Karatsuba Integer Multiplication in the Distributed Memory Model
    Lorenzo De Stefani
    http://arxiv.org/abs/2009.14590v1

    • [cs.DC]Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
    Liangkai Liu, Sidi Lu, Ren Zhong, Baofu Wu, Yongtao Yao, Qingyang Zhang, Weisong Shi
    http://arxiv.org/abs/2009.14349v1

    • [cs.DC]Deterministic PRAM Approximate Shortest Paths in Polylogarithmic Time and Slightly Super-Linear Work
    Elkin Michael, Matar Shaked
    http://arxiv.org/abs/2009.14729v1

    • [cs.DC]Distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices
    Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Georgios Pavlopoulos, Ariful Azad, Aydin Buluc
    http://arxiv.org/abs/2009.14467v1

    • [cs.DC]HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
    Yifan Ding, Nicholas Botzer, Tim Weninger
    http://arxiv.org/abs/2009.14783v1

    • [cs.DC]Pairbot: A Novel Model for Autonomous Mobile Robot Systems Consisting of Paired Robots
    Yonghwan Kim, Yoshiaki Katayama, Koichi Wada
    http://arxiv.org/abs/2009.14426v1

    • [cs.GT]Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach
    Grant Schoenebeck, Fang-Yi Yu
    http://arxiv.org/abs/2009.14730v1

    • [cs.HC]Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols
    Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst
    http://arxiv.org/abs/2009.14237v1

    • [cs.IR]User-item matching for recommendation fairness: a view from item-providers
    Qiang Dong, Shuang-Shuang Xie, Xiaofan Yang, Yuan Yan Tang
    http://arxiv.org/abs/2009.14474v1

    • [cs.IT]An Upper Bound for Wiretap Multi-way Channels
    Amin Gohari, Gerhard Kramer
    http://arxiv.org/abs/2009.14814v1

    • [cs.IT]Impact and Calibration of Nonlinear Reciprocity Mismatch in Massive MIMO
    Rongjiang Nie, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, Xianbin Wang
    http://arxiv.org/abs/2009.14481v1

    • [cs.IT]Moment Generating Function of the AoI in Multi-Source Systems With Packet Management
    Mohammad Moltafet, Markus Leinonen, Marian Codreanu
    http://arxiv.org/abs/2009.14439v1

    • [cs.IT]Physical Layer Security Enhancement Using Artificial Noise in Cellular Vehicle-to-Everything (C-V2X) Networks
    Chao Wang, Zan Li, Gen Xiang Xia, Jia Shi, Jiangbo Si, Yulong Zou
    http://arxiv.org/abs/2009.14500v1

    • [cs.IT]Secure Aggregation with Heterogeneous Quantization in Federated Learning
    Ahmed Roushdy Elkordy, A. Salman Avestimehr
    http://arxiv.org/abs/2009.14388v1

    • [cs.LG]$f$-Divergence Variational Inference
    Neng Wan, Dapeng Li, Naira Hovakimyan
    http://arxiv.org/abs/2009.13093v2

    • [cs.LG]A Framework of Learning Through Empirical Gain Maximization
    Yunlong Feng, Qiang Wu
    http://arxiv.org/abs/2009.14250v1

    • [cs.LG]A law of robustness for two-layers neural networks
    Sébastien Bubeck, Yuanzhi Li, Dheeraj Nagaraj
    http://arxiv.org/abs/2009.14444v1

    • [cs.LG]Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling
    Parisa Abdolrahim Poorheravi, Benyamin Ghojogh, Vincent Gaudet, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/2009.14244v1

    • [cs.LG]An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data
    Thanh Tung Khuat, Bogdan Gabrys
    http://arxiv.org/abs/2009.14670v1

    • [cs.LG]Attention that does not Explain Away
    Nan Ding, Xinjie Fan, Zhenzhong Lan, Dale Schuurmans, Radu Soricut
    http://arxiv.org/abs/2009.14308v1

    • [cs.LG]DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
    Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li
    http://arxiv.org/abs/2009.14720v1

    • [cs.LG]Detecting Autism Spectrum Disorder using Machine Learning
    Md Delowar Hossain, Muhammad Ashad Kabir, Adnan Anwar, Md Zahidul Islam
    http://arxiv.org/abs/2009.14499v1

    • [cs.LG]Direct Multi-hop Attention based Graph Neural Network
    Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
    http://arxiv.org/abs/2009.14332v1

    • [cs.LG]Efficient Kernel Transfer in Knowledge Distillation
    Qi Qian, Hao Li, Juhua Hu
    http://arxiv.org/abs/2009.14416v1

    • [cs.LG]Ensemble Multi-Source Domain Adaptation with Pseudolabels
    Seongmin Lee, Hyunsik Jeon, U Kang
    http://arxiv.org/abs/2009.14248v1

    • [cs.LG]Facilitate the Parametric Dimension Reduction by Gradient Clipping
    Chien-Hsun Lai, Yu-Shuen Wang
    http://arxiv.org/abs/2009.14373v1

    • [cs.LG]Finite-Time Analysis for Double Q-learning
    Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang
    http://arxiv.org/abs/2009.14257v1

    • [cs.LG]Geometric Matrix Completion: A Functional View
    Abhishek Sharma, Maks Ovsjanikov
    http://arxiv.org/abs/2009.14343v1

    • [cs.LG]Global convergence of Negative Correlation Extreme Learning Machine
    Carlos Perales-González
    http://arxiv.org/abs/2009.14695v1

    • [cs.LG]Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation
    Tanner Fiez, Lillian Ratliff
    http://arxiv.org/abs/2009.14820v1

    • [cs.LG]Improving Auto-Augment via Augmentation-Wise Weight Sharing
    Keyu Tian, Chen Lin, Ming Sun, Luping Zhou, Junjie Yan, Wanli Ouyang
    http://arxiv.org/abs/2009.14737v1

    • [cs.LG]Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data
    Katharina Rombach, Gabriel Michau, Olga Fink
    http://arxiv.org/abs/2009.14606v1

    • [cs.LG]MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention
    Carson Eisenach, Yagna Patel, Dhruv Madeka
    http://arxiv.org/abs/2009.14799v1

    • [cs.LG]Manifold Adaptive Multiple Kernel K-Means for Clustering
    Liang Du, Haiying Zhang, Xin Ren, Xiaolin Lv
    http://arxiv.org/abs/2009.14389v1

    • [cs.LG]Measuring Systematic Generalization in Neural Proof Generation with Transformers
    Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal
    http://arxiv.org/abs/2009.14786v1

    • [cs.LG]One Reflection Suffice
    Alexander Mathiasen, Frederik Hvilshøj
    http://arxiv.org/abs/2009.14554v1

    • [cs.LG]Online Convex Optimization in Changing Environments and its Application to Resource Allocation
    Jianjun Yuan
    http://arxiv.org/abs/2009.14436v1

    • [cs.LG]Pea-KD: Parameter-efficient and Accurate Knowledge Distillation
    Ikhyun Cho, U Kang
    http://arxiv.org/abs/2009.14822v1

    • [cs.LG]PettingZoo: Gym for Multi-Agent Reinforcement Learning
    Justin K. Terry, Benjamin Black, Ananth Hari, Luis Santos, Clemens Dieffendahl, Niall L. Williams, Yashas Lokesh, Caroline Horsch, Praveen Ravi
    http://arxiv.org/abs/2009.14471v1

    • [cs.LG]Rain Code : Forecasting Spatiotemporal Precipitation based on Multi-frames Feature using ConvLSTM
    Yasuno Takato, Ishii Akira, Amakata Masazumi
    http://arxiv.org/abs/2009.14573v1

    • [cs.LG]Regress Consistently when Oblivious Outliers Overwhelm
    Tommaso d’Orsi, Gleb Novikov, David Steurer
    http://arxiv.org/abs/2009.14774v1

    • [cs.LG]ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks
    Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy
    http://arxiv.org/abs/2009.14738v1

    • [cs.LG]Rethinking Attention with Performers
    Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy Colwell, Adrian Weller
    http://arxiv.org/abs/2009.14794v1

    • [cs.LG]Some Remarks on Replicated Simulated Annealing
    Vincent Gripon, Matthias Löwe, Franck Vermet
    http://arxiv.org/abs/2009.14702v1

    • [cs.LG]Spectral Embedding of Graph Networks
    Shay Deutsch, Stefano Soatto
    http://arxiv.org/abs/2009.14441v1

    • [cs.LG]Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
    Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung
    http://arxiv.org/abs/2009.14502v1

    • [cs.LG]StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks
    Guangmo Tong
    http://arxiv.org/abs/2009.14337v1

    • [cs.LG]The Role of Isomorphism Classes in Multi-Relational Datasets
    Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales, Pietro Liò
    http://arxiv.org/abs/2009.14593v1

    • [cs.LG]Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach
    Nicholas Halliwell, Freddy Lecue
    http://arxiv.org/abs/2009.14260v1

    • [cs.LG]Uncovering Feature Interdependencies with Non-Greedy Random Forests
    Delilah Donick, Sandro Claudio Lera
    http://arxiv.org/abs/2009.14572v1

    • [cs.LG]Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities
    Andrew Hryniowski, Xiao Yu Wang, Alexander Wong
    http://arxiv.org/abs/2009.14701v1

    • [cs.MS]Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
    Orestis Zachariadis, Nitin Satpute, Juan Gómez-Luna, Joaquín Olivares
    http://arxiv.org/abs/2009.14600v1

    • [cs.MS]ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran
    Amir Shahmoradi, Fatemeh Bagheri
    http://arxiv.org/abs/2009.14229v1

    • [cs.NE]A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs
    Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser
    http://arxiv.org/abs/2009.14477v1

    • [cs.NE]A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms
    Ryoji Tanabe, Hisao Ishibuchi
    http://arxiv.org/abs/2009.14700v1

    • [cs.NE]Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes
    Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr
    http://arxiv.org/abs/2009.14506v1

    • [cs.NE]Non-elitist Evolutionary Multi-objective Optimizers Revisited
    Ryoji Tanabe, Hisao Ishibuchi
    http://arxiv.org/abs/2009.14717v1

    • [cs.NE]Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
    Weihao Tan, Devdhar Patel, Robert Kozma
    http://arxiv.org/abs/2009.14456v1

    • [cs.NI]A General Framework for Charger Scheduling Optimization Problems
    Xuan Li, Miao Jin
    http://arxiv.org/abs/2009.14428v1

    • [cs.RO]Encoding cloth manipulations using a graph of states and transitions
    Júlia Borràs, Guillem Alenyà, Carme Torras
    http://arxiv.org/abs/2009.14681v1

    • [cs.RO]Explainable Deep Reinforcement Learning for UAV Autonomous Navigation
    Lei He, Aouf Nabil, Bifeng Song
    http://arxiv.org/abs/2009.14551v1

    • [cs.RO]Meta Partial Benders Decomposition for the Logistics Service Network Design Problem
    Simon Belieres, Mike Hewitt, Nicolas Jozefowiez, Frédéric Semet
    http://arxiv.org/abs/2009.14628v1

    • [cs.RO]Multi-Pen Robust Robotic 3D Drawing Using Closed-Loop Planning
    Ruishuang Liu, Weiwei Wan, Keisuke Koyama, Kensuke Harada
    http://arxiv.org/abs/2009.14501v1

    • [cs.RO]Reality-assisted evolution of soft robots through large-scale physical experimentation: a review
    Toby Howison, Simon Hauser, Josie Hughes, Fumiya Iida
    http://arxiv.org/abs/2009.13960v2

    • [cs.RO]S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
    Mel Vecerik, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Christopher Schuster, Raia Hadsell, Lourdes Agapito, Jonathan Scholz
    http://arxiv.org/abs/2009.14711v1

    • [cs.RO]Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning
    Qiaoyun Wu, Xiaoxi Gong, Kai Xu, Dinesh Manocha, Jingxuan Dong, Jun Wang
    http://arxiv.org/abs/2009.14509v1

    • [cs.SI]Weight Prediction for Variants of Weighted Directed Networks
    Dong Quan Ngoc Nguyen, Lin Xing, Lizhen Lin
    http://arxiv.org/abs/2009.14311v1

    • [econ.EM]Local Regression Distribution Estimators
    Matias D. Cattaneo, Michael Jansson, Xinwei Ma
    http://arxiv.org/abs/2009.14367v1

    • [eess.AS]Embedded Emotions — A Data Driven Approach to Learn Transferable Feature Representations from Raw Speech Input for Emotion Recognition
    Dominik Schiller, Silvan Mertes, Elisabeth André
    http://arxiv.org/abs/2009.14523v1

    • [eess.AS]Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice Conversion
    Che-Jui Chang
    http://arxiv.org/abs/2009.14668v1

    • [eess.IV]COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
    Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi
    http://arxiv.org/abs/2009.14623v1

    • [eess.IV]Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks
    Hanbin Son, Taeoh Kim, Hyeongmin Lee, Sangyoun Lee
    http://arxiv.org/abs/2009.14754v1

    • [eess.IV]FAN: Frequency Aggregation Network for Real Image Super-resolution
    Yingxue Pang, Xin Li, Xin Jin, Yaojun Wu, Jianzhao Liu, Sen Liu, Zhibo Chen
    http://arxiv.org/abs/2009.14547v1

    • [eess.IV]Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
    Hui Zeng, Jianrui Cai, Lida Li, Zisheng Cao, Lei Zhang
    http://arxiv.org/abs/2009.14468v1

    • [eess.IV]Learning an optimal PSF-pair for ultra-dense 3D localization microscopy
    Elias Nehme, Boris Ferdman, Lucien E. Weiss, Tal Naor, Daniel Freedman, Tomer Michaeli, Yoav Shechtman
    http://arxiv.org/abs/2009.14303v1

    • [eess.IV]Multi-focus Image Fusion for Visual Sensor Networks
    Milad Abdollahzadeh, Touba Malekzadeh, Hadi Seyedarabi
    http://arxiv.org/abs/2009.13615v2

    • [eess.IV]TorchRadon: Fast Differentiable Routines for Computed Tomography
    Matteo Ronchetti
    http://arxiv.org/abs/2009.14788v1

    • [eess.SP]Hidden Markov Models for Pipeline Damage Detection Using Piezoelectric Transducers
    Mingchi Zhang, Xuemin Chen, Wei Li
    http://arxiv.org/abs/2009.14589v1

    • [eess.SP]Learning to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimate
    Tao Jiang, Hei Victor Cheng, Wei Yu
    http://arxiv.org/abs/2009.14404v1

    • [eess.SY]Co-design of Control and Planning for Multi-rotor UAVs with Signal Temporal Logic Specifications
    Yash Vardhan Pant, He Yin, Murat Arcak, Sanjit A. Seshia
    http://arxiv.org/abs/2009.14363v1

    • [eess.SY]Cooperative Path Integral Control for Stochastic Multi-Agent Systems
    Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris
    http://arxiv.org/abs/2009.14775v1

    • [eess.SY]Efficient, Decentralized, and Collaborative Multi-Robot Exploration using Optimal Transport Theory
    Rabiul Hasan Kabir, Kooktae Lee
    http://arxiv.org/abs/2009.14434v1

    • [eess.SY]Frequency-Domain Modelling of Reset Control Systems using an Impulsive Description
    R. N. Buitenhuis, N. Saikumar, S. H. HosseinNia
    http://arxiv.org/abs/2009.13341v2

    • [math.OC]Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation
    Shuhang Chen, Adithya Devraj, Andrey Bernstein, Sean Meyn
    http://arxiv.org/abs/2009.14431v1

    • [math.OC]First-order Optimization for Superquantile-based Supervised Learning
    Yassine Laguel, Jérôme Malick, Zaid Harchaoui
    http://arxiv.org/abs/2009.14575v1

    • [math.OC]Optimal Control of Industrial Assembly Lines
    Francesco Liberati, Andrea Tortorelli, Cesar Mazquiaran, Muhammad Imran, Martina Panfili
    http://arxiv.org/abs/2009.14549v1

    • [math.OC]Wasserstein Distributionally Robust Inverse Multiobjective Optimization
    Chaosheng Dong, Bo Zeng
    http://arxiv.org/abs/2009.14552v1

    • [math.PR]Couplings for Andersen Dynamics
    Nawaf Bou-Rabee, Andreas Eberle
    http://arxiv.org/abs/2009.14239v1

    • [math.ST]Benign overfitting in ridge regression
    A. Tsigler, P. L. Bartlett
    http://arxiv.org/abs/2009.14286v1

    • [math.ST]Testing for linearity in boundary regression models with application to maximal life expectancies
    Jürgen Kampf, Alexander Meister
    http://arxiv.org/abs/2009.14761v1

    • [q-bio.QM]Learning to swim in potential flow
    Yusheng Jiao, Feng Ling, Sina Heydari, Nicolas Heess, Josh Merel, Eva Kanso
    http://arxiv.org/abs/2009.14280v1

    • [stat.AP]Enhanced Bayesian Model Updating with Incomplete Modal Information Using Parallel, Interactive and Adaptive Markov Chains
    Kai Zhou, Jiong Tang
    http://arxiv.org/abs/2009.14249v1

    • [stat.AP]Using sex and gender in survey adjustment
    Lauren Kennedy, Katharine Khanna, Daniel Simpson, Andrew Gelman
    http://arxiv.org/abs/2009.14401v1

    • [stat.ME]Double/Debiased Machine Learning for Logistic Partially Linear Model
    Molei Liu, Yi Zhang, Doudou Zhou
    http://arxiv.org/abs/2009.14461v1

    • [stat.ME]Maximum Entropy classification for record linkage
    Danhyang Lee, Li-Chun Zhang, Jae-Kwang Kim
    http://arxiv.org/abs/2009.14797v1

    • [stat.ME]On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation for Causal Inference
    Zhonghua Liu, Ting Ye, Baoluo Sun, Mary Schooling, Eric Tchetgen Tchetgen
    http://arxiv.org/abs/2009.14484v1

    • [stat.ME]Space-Time Covariance Models on Networks with An Application on Streams
    Jun Tang, Dale Zimmerman
    http://arxiv.org/abs/2009.14745v1

    • [stat.ME]Spatial Statistical Models: an overview under the Bayesian Approach
    Francisco Louzada, Diego C. Nascimento, Osafu Augustine Egbon
    http://arxiv.org/abs/2009.14371v1

    • [stat.ME]The Illusion of the Illusion of Sparsity: An exercise in prior sensitivity
    Bruno Fava, Hedibert F. Lopes
    http://arxiv.org/abs/2009.14296v1

    • [stat.ML]Accurate and Robust Feature Importance Estimation under Distribution Shifts
    Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias
    http://arxiv.org/abs/2009.14454v1

    • [stat.ML]Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification
    Bindya Venkatesh, Jayaraman J. Thiagarajan
    http://arxiv.org/abs/2009.14448v1

    • [stat.ML]Deep Equals Shallow for ReLU Networks in Kernel Regimes
    Alberto Bietti, Francis Bach
    http://arxiv.org/abs/2009.14397v1

    • [stat.ML]EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data
    Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev
    http://arxiv.org/abs/2009.14588v1

    • [stat.ML]Few-shot Learning for Time-series Forecasting
    Tomoharu Iwata, Atsutoshi Kumagai
    http://arxiv.org/abs/2009.14379v1

    • [stat.ML]Modelisation of competition between times series
    Rémy Garnier
    http://arxiv.org/abs/2009.14610v1

    • [stat.ML]Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso
    Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon, Bertrand Thirion
    http://arxiv.org/abs/2009.14310v1

    • [stat.ML]Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks
    Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias
    http://arxiv.org/abs/2009.14455v1