cond-mat.mtrl-sci - 材料科学

    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.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.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.TH - 理论经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.AT - 代数拓扑 math.NA - 数值分析 math.OC - 优化与控制 q-bio.NC - 神经元与认知 q-bio.OT - 其他定量生物学 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.mtrl-sci]Machine-learning-enhanced time-of-flight mass spectrometry analysis
    • [cs.AI]A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms
    • [cs.AI]A Framework for Reasoning on Probabilistic Description Logics
    • [cs.AI]Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
    • [cs.AI]Building Large Lexicalized Ontologies from Text: a Use Case in Automatic Indexing of Biotechnology Patents
    • [cs.AI]Public Announcement Logic in HOL
    • [cs.CL]A Survey of the State of Explainable AI for Natural Language Processing
    • [cs.CL]Autoregressive Entity Retrieval
    • [cs.CL]Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling
    • [cs.CL]Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
    • [cs.CL]Cross-Lingual Transfer Learning for Complex Word Identification
    • [cs.CL]Discontinuous Constituent Parsing as Sequence Labeling
    • [cs.CL]Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding
    • [cs.CL]Enriching Word Embeddings with Temporal and Spatial Information
    • [cs.CL]HUMAN: Hierarchical Universal Modular ANnotator
    • [cs.CL]How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds
    • [cs.CL]JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
    • [cs.CL]LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
    • [cs.CL]Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
    • [cs.CL]Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data
    • [cs.CL]MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models
    • [cs.CL]Multi-Modal Open-Domain Dialogue
    • [cs.CL]MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
    • [cs.CL]Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding
    • [cs.CL]Nearest Neighbor Machine Translation
    • [cs.CL]Point-of-Interest Type Inference from Social Media Text
    • [cs.CL]Predicting User Engagement Status for Online Evaluation of Intelligent Assistants
    • [cs.CL]SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces
    • [cs.CL]STIL — Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++
    • [cs.CL]Syntax Representation in Word Embeddings and Neural Networks — A Survey
    • [cs.CL]TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
    • [cs.CL]Unsupervised Text Style Transfer with Padded Masked Language Models
    • [cs.CL]Which *BERT? A Survey Organizing Contextualized Encoders
    • [cs.CR]EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts
    • [cs.CR]GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning
    • [cs.CR]Knowledge Discovery in Cryptocurrency Transactions: A Survey
    • [cs.CR]XDA: Accurate, Robust Disassembly with Transfer Learning
    • [cs.CV]A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images
    • [cs.CV]AIM 2020 Challenge on Image Extreme Inpainting
    • [cs.CV]Active Learning for Bayesian 3D Hand Pose Estimation
    • [cs.CV]Block-wise Image Transformation with Secret Key for Adversarially Robust Defense
    • [cs.CV]CAPTION: Correction by Analyses, POS-Tagging and Interpretation of Objects using only Nouns
    • [cs.CV]Contrastive Learning of Medical Visual Representations from Paired Images and Text
    • [cs.CV]Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer
    • [cs.CV]DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection
    • [cs.CV]DOTS: Decoupling Operation and Topology in Differentiable Architecture Search
    • [cs.CV]DecAug: Augmenting HOI Detection via Decomposition
    • [cs.CV]Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors
    • [cs.CV]Deep Reinforcement Learning with Mixed Convolutional Network
    • [cs.CV]Deep4Air: A Novel Deep Learning Framework for Airport Airside Surveillance
    • [cs.CV]Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks
    • [cs.CV]Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
    • [cs.CV]Efficient Colon Cancer Grading with Graph Neural Networks
    • [cs.CV]Embedded Systems and Computer Vision Techniques utilized in Spray Painting Robots: A Review
    • [cs.CV]Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation
    • [cs.CV]Group Equivariant Stand-Alone Self-Attention For Vision
    • [cs.CV]Hard Negative Mixing for Contrastive Learning
    • [cs.CV]Homography Estimation with Convolutional Neural Networks Under Conditions of Variance
    • [cs.CV]Image-based underwater 3D reconstruction for Cultural Heritage: from image collection to 3D. Critical steps and considerations
    • [cs.CV]LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion
    • [cs.CV]MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination
    • [cs.CV]Multiple Infrared Small Targets Detection based on Hierarchical Maximal Entropy Random Walk
    • [cs.CV]Online Knowledge Distillation via Multi-branch Diversity Enhancement
    • [cs.CV]OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
    • [cs.CV]Pre-Training by Completing Point Clouds
    • [cs.CV]PrognoseNet: A Generative Probabilistic Framework for Multimodal Position Prediction given Context Information
    • [cs.CV]RDCNet: Instance segmentation with a minimalist recurrent residual network
    • [cs.CV]RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
    • [cs.CV]Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples
    • [cs.CV]Rotated Ring, Radial and Depth Wise Separable Radial Convolutions
    • [cs.CV]Self-Play Reinforcement Learning for Fast Image Retargeting
    • [cs.CV]Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
    • [cs.CV]Smart-Inspect: Micro Scale Localization and Classification of Smartphone Glass Defects for Industrial Automation
    • [cs.CV]Taking Modality-free Human Identification as Zero-shot Learning
    • [cs.CV]Uncertainty driven probabilistic voxel selection for image registration
    • [cs.CV]Using ROC and Unlabeled Data for Increasing Low-Shot Transfer Learning Classification Accuracy
    • [cs.CV]Weight and Gradient Centralization in Deep Neural Networks
    • [cs.CY]Biocybersecurity — A Converging Threat as an Auxiliary to War
    • [cs.CY]DIETERpy: a Python framework for The Dispatch and Investment Evaluation Tool with Endogenous Renewables
    • [cs.CY]Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS
    • [cs.DC]Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing
    • [cs.DC]PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters
    • [cs.DC]Proving Highly-Concurrent Traversals Correct
    • [cs.GT]Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation
    • [cs.HC]Understanding the Predictability of Gesture Parameters from Speech and their Perceptual Importance
    • [cs.IR]An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders
    • [cs.IR]Overcoming Data Sparsity in Group Recommendation
    • [cs.IR]SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval
    • [cs.IT]$X$-Secure $T$-Private Federated Submodel Learning
    • [cs.IT]Cascaded Channel Estimation for IRS-assisted Mmwave Multi-antenna with Quantized Beamforming
    • [cs.IT]Exploiting Multi-Path for Safeguarding mmWave Communications Against Randomly Located Eavesdroppers
    • [cs.IT]Faster Binary Embeddings for Preserving Euclidean Distances
    • [cs.IT]On the Achievable Rate Region of the $ K $-Receiver Broadcast Channels via Exhaustive Message Splitting
    • [cs.IT]REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association
    • [cs.IT]Ranging success probability of PPP distributed automotive radar in presence of generalized fading
    • [cs.IT]Resource Allocation for Large IRS-Assisted SWIPT Systems with Non-linear Energy Harvesting Model
    • [cs.IT]Secrecy Rate Maximization in Multi-IRS Millimeter Wave Networks
    • [cs.LG]A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation
    • [cs.LG]A straightforward line search approach on the expected empirical loss for stochastic deep learning problems
    • [cs.LG]An Evaluation of Classification Methods for 3D Printing Time-Series Data
    • [cs.LG]Attention-Based Clustering: Learning a Kernel from Context
    • [cs.LG]BOSS: Bayesian Optimization over String Spaces
    • [cs.LG]Bridging the Gaps in Statistical Models of Protein Alignment
    • [cs.LG]Cell Complex Neural Networks
    • [cs.LG]Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
    • [cs.LG]Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
    • [cs.LG]Deep Convolutional Transform Learning — Extended version
    • [cs.LG]Differentiable Weighted Finite-State Transducers
    • [cs.LG]Effective Regularization Through Loss-Function Metalearning
    • [cs.LG]Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
    • [cs.LG]Encoded Prior Sliced Wasserstein AutoEncoder for learning latent manifold representations
    • [cs.LG]Evaluating a Generative Adversarial Framework for Information Retrieval
    • [cs.LG]Explainable Online Validation of Machine Learning Models for Practical Applications
    • [cs.LG]Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
    • [cs.LG]Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification
    • [cs.LG]Gaussian Process Molecule Property Prediction with FlowMO
    • [cs.LG]Implicit Rank-Minimizing Autoencoder
    • [cs.LG]Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets
    • [cs.LG]Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
    • [cs.LG]Knowledge Graph Embeddings in Geometric Algebras
    • [cs.LG]Linear Classifier Combination via Multiple Potential Functions
    • [cs.LG]Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer
    • [cs.LG]Modifying the Symbolic Aggregate Approximation Method to Capture Segment Trend Information
    • [cs.LG]Neural Bootstrapper
    • [cs.LG]Neural Thompson Sampling
    • [cs.LG]No Spurious Local Minima: on the Optimization Landscapes of Wide and Deep Neural Networks
    • [cs.LG]Note: An alternative proof of the vulnerability of $k$-NN classifiers in high intrinsic dimensionality regions
    • [cs.LG]On the linearity of large non-linear models: when and why the tangent kernel is constant
    • [cs.LG]Open Set Domain Adaptation using Optimal Transport
    • [cs.LG]POMDPs in Continuous Time and Discrete Spaces
    • [cs.LG]Query complexity of adversarial attacks
    • [cs.LG]The Efficacy of $L_1$ Regularization in Two-Layer Neural Networks
    • [cs.LG]The Sparse Vector Technique, Revisited
    • [cs.LG]Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring
    • [cs.LG]Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces
    • [cs.LG]Variance-Reduced Methods for Machine Learning
    • [cs.MS]Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library
    • [cs.NE]An Analysis of Control Parameters of MOEA/D Under Two Different Optimization Scenarios
    • [cs.NE]Are Artificial Dendrites useful in NeuroEvolution?
    • [cs.NE]How Far Are We From an Optimal, Adaptive DE?
    • [cs.NE]Incorporating Machine Learning to Evaluate Solutions to the University Course Timetabling Problem
    • [cs.NE]Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent
    • [cs.NE]Reviewing and Benchmarking Parameter Control Methods in Differential Evolution
    • [cs.PF]P = FS: Parallel is Just Fast Serial
    • [cs.RO]Continuous close-range 3D object pose estimation
    • [cs.RO]Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
    • [cs.RO]Integrated Task and Motion Planning
    • [cs.RO]MADRaS : Multi Agent Driving Simulator
    • [cs.RO]Memory Clustering using Persistent Homology for Multimodality- and Discontinuity-Sensitive Learning of Optimal Control Warm-starts
    • [cs.RO]Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives
    • [cs.RO]Numerical Methods to Compute the Coriolis Matrix and Christoffel Symbols for Rigid-Body Systems
    • [cs.RO]Planning a Sequence of Base Positions for a Mobile Manipulator to Perform Multiple Pick-and-Place Tasks
    • [cs.RO]Towards Multi-Robot Task-Motion Planning for Navigation in Belief Space
    • [cs.SD]Deep Composer Classification Using Symbolic Representation
    • [cs.SI]#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election
    • [cs.SI]A Recommender System based on the analysis of personality traits in Telegram social network
    • [cs.SI]Community embeddings reveal large-scale cultural organization of online platforms
    • [cs.SI]Event Detection in Twitter by Weighting Tweet’s Features
    • [cs.SI]Generalized Centrality Aggregation and Exclusive Centrality
    • [econ.TH]On Statistical Discrimination as a Failure of Social Learning: A Multi-Armed Bandit Approach
    • [eess.AS]Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model
    • [eess.IV]Efficient Image Super-Resolution Using Pixel Attention
    • [eess.IV]Morphological segmentation of hyperspectral images
    • [eess.IV]Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging
    • [eess.IV]Weight Encode Reconstruction Network for Computed Tomography in a Semi-Case-Wise and Learning-Based Way
    • [eess.SP]Performance Analysis and Optimization of NOMA with HARQ for Short Packet Communications in Massive IoT
    • [math.AT]Hyperharmonic analysis for the study of high-order information-theoretic signals
    • [math.NA]Data-driven model reduction for stochastic Burgers equations
    • [math.OC]A variable metric mini-batch proximal stochastic recursive gradient algorithm with diagonal Barzilai-Borwein stepsize
    • [math.OC]Distributed Proximal Splitting Algorithms with Rates and Acceleration
    • [math.OC]Nonsmoothness in Machine Learning: specific structure, proximal identification, and applications
    • [q-bio.NC]Relaxing the Constraints on Predictive Coding Models
    • [q-bio.OT]Estimands in Hematologic Oncology Trials
    • [q-bio.QM]Beyond Chemical 1D knowledge using Transformers
    • [quant-ph]Bounding the forward classical capacity of bipartite quantum channels
    • [stat.AP]Commuting Network Spillovers and COVID-19 Deaths Across US Counties
    • [stat.AP]Visualizing probability distributions across bivariate cyclic temporal granularities
    • [stat.CO]Improving performances of MCMC for Nearest Neighbor Gaussian Process models with full data augmentation
    • [stat.ME]Causal coupling inference from multivariate time series based on ordinal pattern transition networks
    • [stat.ME]Evaluating real-time probabilistic forecasts with application to National Basketball Association outcome prediction
    • [stat.ME]Individual-centered partial information in social networks
    • [stat.ME]Optimal Allocation of Gold Standard Testing under Constrained Availability: Application to Assessment of HIV Treatment Failure
    • [stat.ML]Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
    • [stat.ML]Regularized K-means through hard-thresholding
    • [stat.ML]Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks
    • [stat.ML]When to Impute? Imputation before and during cross-validation

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    • [cond-mat.mtrl-sci]Machine-learning-enhanced time-of-flight mass spectrometry analysis
    Ye Wei, Rama Srinivas Varanasi, Torsten Schwarz, Leonie Gomell, Huan Zhao, David J. Larson, Binhan Sun, Geng Liu, Hao Chen, Dierk Raabe, Baptiste Gault
    http://arxiv.org/abs/2010.01030v1

    • [cs.AI]A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms
    Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
    http://arxiv.org/abs/2010.01069v1

    • [cs.AI]A Framework for Reasoning on Probabilistic Description Logics
    Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi
    http://arxiv.org/abs/2010.01087v1

    • [cs.AI]Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
    Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Animashree Anandkumar
    http://arxiv.org/abs/2010.00763v1

    • [cs.AI]Building Large Lexicalized Ontologies from Text: a Use Case in Automatic Indexing of Biotechnology Patents
    Claire Nédellec, Wiktoria Golik, Sophie Aubin, Robert Bossy
    http://arxiv.org/abs/2010.00860v1

    • [cs.AI]Public Announcement Logic in HOL
    Sebastian Reiche, Christoph Benzmüller
    http://arxiv.org/abs/2010.00810v1

    • [cs.CL]A Survey of the State of Explainable AI for Natural Language Processing
    Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
    http://arxiv.org/abs/2010.00711v1

    • [cs.CL]Autoregressive Entity Retrieval
    Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni
    http://arxiv.org/abs/2010.00904v1

    • [cs.CL]Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling
    Yan Shvartzshnaider, Ananth Balashankar, Vikas Patidar, Thomas Wies, Lakshminarayanan Subramanian
    http://arxiv.org/abs/2010.00678v1

    • [cs.CL]Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
    Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings
    http://arxiv.org/abs/2010.00910v1

    • [cs.CL]Cross-Lingual Transfer Learning for Complex Word Identification
    George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu
    http://arxiv.org/abs/2010.01108v1

    • [cs.CL]Discontinuous Constituent Parsing as Sequence Labeling
    David Vilares, Carlos Gómez-Rodríguez
    http://arxiv.org/abs/2010.00633v1

    • [cs.CL]Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding
    Heng Yang, Biqing Zeng
    http://arxiv.org/abs/2010.00767v1

    • [cs.CL]Enriching Word Embeddings with Temporal and Spatial Information
    Hongyu Gong, Suma Bhat, Pramod Viswanath
    http://arxiv.org/abs/2010.00761v1

    • [cs.CL]HUMAN: Hierarchical Universal Modular ANnotator
    Moritz Wolf, Dana Ruiter, Ashwin Geet D’Sa, Liane Reiners, Jan Alexandersson, Dietrich Klakow
    http://arxiv.org/abs/2010.01080v1

    • [cs.CL]How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds
    Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston
    http://arxiv.org/abs/2010.00685v1

    • [cs.CL]JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
    Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
    http://arxiv.org/abs/2010.00796v1

    • [cs.CL]LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
    Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, Yuji Matsumoto
    http://arxiv.org/abs/2010.01057v1

    • [cs.CL]Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
    Hanjie Chen, Yangfeng Ji
    http://arxiv.org/abs/2010.00667v1

    • [cs.CL]Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data
    Nils Rethmeier, Isabelle Augenstein
    http://arxiv.org/abs/2010.01061v1

    • [cs.CL]MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models
    Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan Catanzaro
    http://arxiv.org/abs/2010.00840v1

    • [cs.CL]Multi-Modal Open-Domain Dialogue
    Kurt Shuster, Eric Michael Smith, Da Ju, Jason Weston
    http://arxiv.org/abs/2010.01082v1

    • [cs.CL]MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
    Andreas Rücklé, Jonas Pfeiffer, Iryna Gurevych
    http://arxiv.org/abs/2010.00980v1

    • [cs.CL]Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding
    Jiaming Shen, Heng Ji, Jiawei Han
    http://arxiv.org/abs/2010.00677v1

    • [cs.CL]Nearest Neighbor Machine Translation
    Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
    http://arxiv.org/abs/2010.00710v1

    • [cs.CL]Point-of-Interest Type Inference from Social Media Text
    Danae Sánchez Villegas, Daniel Preoţiuc-Pietro, Nikolaos Aletras
    http://arxiv.org/abs/2009.14734v2

    • [cs.CL]Predicting User Engagement Status for Online Evaluation of Intelligent Assistants
    Rui Meng, Zhen Yue, Alyssa Glass
    http://arxiv.org/abs/2010.00656v1

    • [cs.CL]SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces
    K Vani, Sandra Mitrovic, Alessandro Antonucci, Fabio Rinaldi
    http://arxiv.org/abs/2010.00857v1

    • [cs.CL]STIL — Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++
    Jack G. M. FitzGerald
    http://arxiv.org/abs/2010.00760v1

    • [cs.CL]Syntax Representation in Word Embeddings and Neural Networks — A Survey
    Tomasz Limisiewicz, David Mareček
    http://arxiv.org/abs/2010.01063v1

    • [cs.CL]TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
    Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann
    http://arxiv.org/abs/2010.01029v1

    • [cs.CL]Unsupervised Text Style Transfer with Padded Masked Language Models
    Eric Malmi, Aliaksei Severyn, Sascha Rothe
    http://arxiv.org/abs/2010.01054v1

    • [cs.CL]**Which BERT? A Survey Organizing Contextualized Encoders
    Patrick Xia, Shijie Wu, Benjamin Van Durme
    http://arxiv.org/abs/2010.00854v1

    • [cs.CR]EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts
    Michael Rodler, Wenting Li, Ghassan O. Karame, Lucas Davi
    http://arxiv.org/abs/2010.00341v2

    • [cs.CR]GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning
    Vasisht Duddu, Antoine Boutet, Virat Shejwalkar
    http://arxiv.org/abs/2010.00912v1

    • [cs.CR]Knowledge Discovery in Cryptocurrency Transactions: A Survey
    Xiao Fan Liu, Xin-Jian Jiang, Si-Hao Liu, Chi Kong Tse
    http://arxiv.org/abs/2010.01031v1

    • [cs.CR]XDA: Accurate, Robust Disassembly with Transfer Learning
    Kexin Pei, Jonas Guan, David Williams King, Junfeng Yang, Suman Jana
    http://arxiv.org/abs/2010.00770v1

    • [cs.CV]A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images
    Chongyi Li, Runmin Cong, Chunle Guo, Hua Li, Chunjie Zhang, Feng Zh
    e10
    eng, Yao Zhao
    http://arxiv.org/abs/2010.00793v1

    • [cs.CV]AIM 2020 Challenge on Image Extreme Inpainting
    Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte
    http://arxiv.org/abs/2010.01110v1

    • [cs.CV]Active Learning for Bayesian 3D Hand Pose Estimation
    Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
    http://arxiv.org/abs/2010.00694v1

    • [cs.CV]Block-wise Image Transformation with Secret Key for Adversarially Robust Defense
    MaungMaung AprilPyone, Hitoshi Kiya
    http://arxiv.org/abs/2010.00801v1

    • [cs.CV]CAPTION: Correction by Analyses, POS-Tagging and Interpretation of Objects using only Nouns
    Leonardo Anjoletto Ferreira, Douglas De Rizzo Meneghetti, Paulo Eduardo Santos
    http://arxiv.org/abs/2010.00839v1

    • [cs.CV]Contrastive Learning of Medical Visual Representations from Paired Images and Text
    Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz
    http://arxiv.org/abs/2010.00747v1

    • [cs.CV]Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer
    Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu
    http://arxiv.org/abs/2010.00735v1

    • [cs.CV]DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection
    Hao-Shu Fang, Yichen Xie, Dian Shao, Cewu Lu
    http://arxiv.org/abs/2010.01005v1

    • [cs.CV]DOTS: Decoupling Operation and Topology in Differentiable Architecture Search
    Yu-Chao Gu, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng
    http://arxiv.org/abs/2010.00969v1

    • [cs.CV]DecAug: Augmenting HOI Detection via Decomposition
    Yichen Xie, Hao-Shu Fang, Dian Shao, Yong-Lu Li, Cewu Lu
    http://arxiv.org/abs/2010.01007v1

    • [cs.CV]Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors
    Zhe Jiang, Marcus Stephen Kirby, Wenchong He, Arpan Man Sainju
    http://arxiv.org/abs/2010.00757v1

    • [cs.CV]Deep Reinforcement Learning with Mixed Convolutional Network
    Yanyu Zhang
    http://arxiv.org/abs/2010.00717v1

    • [cs.CV]Deep4Air: A Novel Deep Learning Framework for Airport Airside Surveillance
    Phat Thai, Sameer Alam, Nimrod Lilith, Phu N. Tran, Binh Nguyen Thanh
    http://arxiv.org/abs/2010.00806v1

    • [cs.CV]Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks
    Benjamin Gutierrez Becker, Ignacio Sarasua, Christian Wachinger
    http://arxiv.org/abs/2010.00820v1

    • [cs.CV]Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
    Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan
    http://arxiv.org/abs/2010.01097v1

    • [cs.CV]Efficient Colon Cancer Grading with Graph Neural Networks
    Franziska Lippoldt
    http://arxiv.org/abs/2010.01091v1

    • [cs.CV]Embedded Systems and Computer Vision Techniques utilized in Spray Painting Robots: A Review
    Soham Shah, Siddhi Vinayak Pandey, Archit Sorathiya, Raj Sheth, Alok Kumar Singh, Jignesh Thaker
    http://arxiv.org/abs/2010.01131v1

    • [cs.CV]Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation
    Patrick Dendorfer, Aljoša Ošep, Laura Leal-Taixé
    http://arxiv.org/abs/2010.01114v1

    • [cs.CV]Group Equivariant Stand-Alone Self-Attention For Vision
    David W. Romero, Jean-Baptiste Cordonnier
    http://arxiv.org/abs/2010.00977v1

    • [cs.CV]Hard Negative Mixing for Contrastive Learning
    Yannis Kalantidis, Mert Bulent Sariyildiz, Noe Pion, Philippe Weinzaepfel, Diane Larlus
    http://arxiv.org/abs/2010.01028v1

    • [cs.CV]Homography Estimation with Convolutional Neural Networks Under Conditions of Variance
    David Niblick, Avinash Kak
    http://arxiv.org/abs/2010.01041v1

    • [cs.CV]Image-based underwater 3D reconstruction for Cultural Heritage: from image collection to 3D. Critical steps and considerations
    Dimitrios Skarlatos, Panagiotis Agrafiotis
    http://arxiv.org/abs/2010.00928v1

    • [cs.CV]LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion
    Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sidney Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun
    http://arxiv.org/abs/2010.00731v1

    • [cs.CV]MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination
    Shengyu Zhang, Donghui Wang, Zhou Zhao, Siliang Tang, Di Xie, Fei Wu
    http://arxiv.org/abs/2010.00947v1

    • [cs.CV]Multiple Infrared Small Targets Detection based on Hierarchical Maximal Entropy Random Walk
    Chaoqun Xia, Xiaorun Li, Liaoying Zhao, Shuhan Chen
    http://arxiv.org/abs/2010.00923v1

    • [cs.CV]Online Knowledge Distillation via Multi-branch Diversity Enhancement
    Zheng Li, Ying Huang, Defang Chen, Tianren Luo, Ning Cai, Zhigeng Pan
    http://arxiv.org/abs/2010.00795v1

    • [cs.CV]OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
    Javad Amirian, Bingqing Zhang, Francisco Valente Castro, Juan Jose Baldelomar, Jean-Bernard Hayet, Julien Pettre
    http://arxiv.org/abs/2010.00890v1

    • [cs.CV]Pre-Training by Completing Point Clouds
    Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner
    http://arxiv.org/abs/2010.01089v1

    • [cs.CV]PrognoseNet: A Generative Probabilistic Framework for Multimodal Position Prediction given Context Information
    Thomas Kurbiel, Akash Sachdeva, Kun Zhao, Markus Buehren
    http://arxiv.org/abs/2010.00802v1

    • [cs.CV]RDCNet: Instance segmentation with a minimalist recurrent residual network
    Raphael Ortiz, Gustavo de Medeiros, Antoine H. F. M. Peters, Prisca Liberali, Markus Rempfler
    http://arxiv.org/abs/2010.00991v1

    • [cs.CV]RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
    Rao Fu, Jie Yang, Jiawei Sun, Fang-Lue Zhang, Yu-Kun Lai, Lin Gao
    http://arxiv.org/abs/2010.00973v1

    • [cs.CV]Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples
    Chao Tao, Ji Qi, Weipeng Lu, Hao Wang, Haifeng Li
    http://arxiv.org/abs/2010.00882v1

    • [cs.CV]Rotated Ring, Radial and Depth Wise Separable Radial Convolutions
    Wolfgang Fuhl, Enkelejda Kasneci
    http://arxiv.org/abs/2010.00873v1

    • [cs.CV]Self-Play Reinforcement Learning for Fast Image Retargeting
    Nobukatsu Kajiura, Satoshi Kosugi, Xueting Wang, Toshihiko Yamasaki
    http://arxiv.org/abs/2010.00909v1

    • [cs.CV]Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
    Marius Leordeanu, Mihai Pirvu, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar
    http://arxiv.org/abs/2010.01086v1

    • [cs.CV]Smart-Inspect: Micro Scale Localization and Classification of Smartphone Glass Defects for Industrial Automation
    M Usman Maqbool Bhutta, Shoaib Aslam, Peng Yun, Jianhao Jiao, Ming Liu
    http://arxiv.org/abs/2010.00741v1

    • [cs.CV]Taking Modality-free Human Identification as Zero-shot Learning
    Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng
    http://arxiv.org/abs/2010.00975v1

    • [cs.CV]Uncertainty driven probabilistic voxel selection for image registration
    Boris N. Oreshkin, Tal Arbel
    http://arxiv.org/abs/2010.00988v1

    • [cs.CV]Using ROC and Unlabeled Data for Increasing Low-Shot Transfer Learning Classification Accuracy
    Spiridon Kasapis, Geng Zhang, Jonathon Smereka, Nickolas Vlahopoulos
    http://arxiv.org/abs/2010.00721v1

    • [cs.CV]Weight and Gradient Centralization in Deep Neural Networks
    Wolfgang Fuhl, Enkelejda Kasneci
    http://arxiv.org/abs/2010.00866v1

    • [cs.CY]Biocybersecurity — A Converging Threat as an Auxiliary to War
    Lucas Potter, Orlando Ayala, Xavier-Lewis Palmer
    http://arxiv.org/abs/2010.00624v1

    • [cs.CY]DIETERpy: a Python framework for The Dispatch and Investment Evaluation Tool with Endogenous Renewables
    Carlos Gaete-Morales, Martin Kittel, Alexander Roth, Wolf-Peter Schill, Alexander Zerrahn
    http://arxiv.org/abs/2010.00883v1

    • [cs.CY]Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS
    Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan
    http://arxiv.org/abs/2010.00822v1

    • [cs.DC]Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing
    Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor
    http://arxiv.org/abs/2010.00914v1

    • [cs.DC]PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters
    Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni
    http://arxiv.org/abs/2010.00501v2

    • [cs.DC]Proving Highly-Concurrent Traversals Correct
    Yotam M. Y. Feldman, Artem Khyzha, Constantin Enea, Adam Morrison, Aleksandar Nanevski, Noam Rinetzky, Sharon Shoham
    http://arxiv.org/abs/2010.00911v1

    • [cs.GT]Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation
    Kate Donahue, Jon Kleinberg
    http://arxiv.org/abs/2010.00753v1

    • [cs.HC]Understanding the Predictability of Gesture Parameters from Speech and their Perceptual Importance
    Ylva Ferstl, Michael Neff, Rachel McDonnell
    http://arxiv.org/abs/2010.00995v1

    • [cs.IR]An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders
    Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra
    http://arxiv.org/abs/2010.00984v1

    • [cs.IR]Overcoming Data Sparsity in Group Recommendation
    Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou
    http://arxiv.org/abs/2010.00813v1

    • [cs.IR]SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval
    Yang Bai, Xiaoguang Li, Gang Wang, Chaoliang Zhang, Lifeng Shang, Jun Xu, Zhaowei Wang, Fangshan Wang, Qun Liu
    http://arxiv.org/abs/2010.00768v1

    • [cs.IT]$X$-Secure $T$-Private Federated Submodel Learning
    Zhuqing Jia, Syed A. Jafar
    http://arxiv.org/abs/2010.01059v1

    • [cs.IT]Cascaded Channel Estimation for IRS-assisted Mmwave Multi-antenna with Quantized Beamforming
    Wenhui Zhang, Jindan Xu, Wei Xu, Derrick Wing Kwan Ng, Huan Sun
    http://arxiv.org/abs/2010.00865v1

    • [cs.IT]Exploiting Multi-Path for Safeguarding mmWave Communications Against Randomly Located Eavesdroppers
    Rohith Talwar, Nancy Amala, George Medina, Akshadeep Singh Jida, Mohammed E. Eltayeb
    http://arxiv.org/abs/2010.00733v1

    • [cs.IT]Faster Binary Embeddings for Preserving Euclidean Distances
    Jinjie Zhang, Rayan Saab
    http://arxiv.org/abs/2010.00712v1

    • [cs.IT]On the Achievable Rate Region of the $ K $-Receiver Broadcast Channels via Exhaustive Message Splitting
    Rui Tang, Songjie Xie, Youlong Wu
    http://arxiv.org/abs/2010.00851v1

    • [cs.IT]REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association
    Boris Galkin, Erika Fonseca, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic
    http://arxiv.org/abs/2010.01126v1

    • [cs.IT]Ranging success probability of PPP distributed automotive radar in presence of generalized fading
    Sudharsan Parthasarathy, Rakshith Jagannath
    http://arxiv.org/abs/2010.00803v1

    • [cs.IT]Resource Allocation for Large IRS-Assisted SWIPT Systems with Non-linear Energy Harvesting Model
    Dongfang Xu, Xianghao Yu, Vahid Jamali, Derrick Wing Kwan Ng, Robert Schober
    http://arxiv.org/abs/2010.00846v1

    • [cs.IT]Secrecy Rate Maximization in Multi-IRS Millimeter Wave Networks
    Anahid Rafieifar, S. Mohammad Razavizadeh
    http://arxiv.org/abs/2010.01113v1

    • [cs.LG]A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation
    Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis
    http://arxiv.org/abs/2010.00929v1

    • [cs.LG]A straightforward line search approach on the expected empirical loss for stochastic deep learning problems
    Maximus Mutschler, Andreas Zell
    http://arxiv.org/abs/2010.00921v1

    • [cs.LG]An Evaluation of Classification Methods for 3D Printing Time-Series Data
    Vivek Mahato, Muhannad Ahmed Obeidi, Dermot Brabazon, Padraig Cunningham
    http://arxiv.org/abs/2010.00903v1

    • [cs.LG]Attention-Based Clustering: Learning a Kernel from Context
    Samuel Coward, Erik Visse-Martindale, Chithrupa Ramesh
    http://arxiv.org/abs/2010.01040v1

    • [cs.LG]BOSS: Bayesian Optimization over String Spaces
    Henry B. Moss, Daniel Beck, Javier Gonzalez, David S. Leslie, Paul Rayson
    http://arxiv.org/abs/2010.00979v1

    • [cs.LG]Bridging the Gaps in Statistical Models of Protein Alignment
    Dinithi Sumanaweera, Lloyd Allison, Arun S. Konagurthu
    http://arxiv.org/abs/2010.00855v1

    • [cs.LG]Cell Complex Neural Networks
    Mustafa Hajij, Kyle Istvan, Ghada Zamzami
    http://arxiv.org/abs/2010.00743v1

    • [cs.LG]Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
    T. Konstantin Rusch, Siddhartha Mishra
    http://arxiv.org/abs/2010.00951v1

    • [cs.LG]Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
    Katsuhiko Ishiguro, Kazuya Ujihara, Ryohto Sawada, Hirotaka Akita, Masaaki Kotera
    http://arxiv.org/abs/2010.00792v1

    • [cs.LG]Deep Convolutional Transform Learning — Extended version
    Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
    http://arxiv.org/abs/2010.01011v1

    • [cs.LG]Differentiable Weighted Finite-State Transducers
    Awni Hannun, Vineel Pratap, Jacob Kahn, Wei-Ning Hsu
    http://arxiv.org/abs/2010.01003v1

    • [cs.LG]Effective Regularization Through Loss-Function Metalearning
    Santiago Gonzalez, Risto Miikkulainen
    http://arxiv.org/abs/2010.00788v1

    • [cs.LG]Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
    Lanqing Li, Rui Yang, Dijun Luo
    http://arxiv.org/abs/2010.01112v1

    • [cs.LG]Encoded Prior Sliced Wasserstein AutoEncoder for learning latent manifold representations
    Sanjukta Krishnagopal, Jacob Bedrossian
    http://arxiv.org/abs/2010.01037v1

    • [cs.LG]Evaluating a Generative Adversarial Framework for Information Retrieval
    Ameet Deshpande, Mitesh M. Khapra
    http://arxiv.org/abs/2010.00722v1

    • [cs.LG]Explainable Online Validation of Machine Learning Models for Practical Applications
    Wolfgang Fuhl, Yao Rong, Thomas Motz, Michael Scheidt, Andreas Hartel, Andreas Koch, Enkelejda Kasneci
    http://arxiv.org/abs/2010.00821v1

    • [cs.LG]Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
    Luisa Zintgraf, Leo Feng, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
    http://arxiv.org/abs/2010.01062v1

    • [cs.LG]Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification
    Muhammad Marwan Muhammad Fuad
    http://arxiv.org/abs/2010.00732v1

    • [cs.LG]Gaussian Process Molecule Property Prediction with FlowMO
    Henry B. Moss, Ryan-Rhys Griffiths
    http://arxiv.org/abs/2010.01118v1

    • [cs.LG]Implicit Rank-Minimizing Autoencoder
    Li Jing, Jure Zbontar, Yann LeCun
    http://arxiv.org/abs/2010.00679v1

    • [cs.LG]Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets
    Banus Jaume, Sermesant Maxime, Camara Oscar, Lorenzi Marco
    http://arxiv.org/abs/2010.01052v1

    • [cs.LG]Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
    Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan
    http://arxiv.org/abs/2010.00985v1

    • [cs.LG]Knowledge Graph Embeddings in Geometric Algebras
    Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann
    http://arxiv.org/abs/2010.00989v1

    • [cs.LG]Linear Classifier Combination via Multiple Potential Functions
    Pawel Trajdos, Robert Burduk
    http://arxiv.org/abs/2010.00844v1

    • [cs.LG]Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer
    Qinbin Li, Bingsheng He, Dawn Song
    http://arxiv.org/abs/2010.01017v1

    • [cs.LG]Modifying the Symbolic Aggregate Approximation Method to Capture Segment Trend Information
    Muhammad Marwan Muhammad Fuad
    http://arxiv.org/abs/2010.00730v1

    • [cs.LG]Neural Bootstrapper
    Minsuk Shin, Hyungjoo Cho, Sungbin Lim
    http://arxiv.org/abs/2010.01051v1

    • [cs.LG]Neural Thompson Sampling
    Weitong Zhang, Dongruo Zhou, Lihong Li, Quanquan Gu
    http://arxiv.org/abs/2010.00827v1

    • [cs.LG]No Spurious Local Minima: on the Optimization Landscapes of Wide and Deep Neural Networks
    Johannes Lederer
    http://arxiv.org/abs/2010.00885v1

    • [cs.LG]Note: An alternative proof of the vulnerability of $k$-NN classifiers in high intrinsic dimensionality regions
    Teddy Furon
    http://arxiv.org/abs/2010.00990v1

    • [cs.LG]On the linearity of large non-linear models: when and why the tangent kernel is constant
    Chaoyue Liu, Libin Zhu, Mikhail Belkin
    http://arxiv.org/abs/2010.01092v1

    • [cs.LG]Open Set Domain Adaptation using Optimal Transport
    Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso
    http://arxiv.org/abs/2010.01045v1

    • [cs.LG]POMDPs in Continuous Time and Discrete Spaces
    Bastian Alt, Matthias Schultheis, Heinz Koeppl
    http://arxiv.org/abs/2010.01014v1

    • [cs.LG]Query complexity of adversarial attacks
    Grzegorz Głuch, Rüdiger Urbanke
    http://arxiv.org/abs/2010.01039v1

    • [cs.LG]The Efficacy of $L_1$ Regularization in Two-Layer Neural Networks
    Gen Li, Yuantao Gu, Jie Ding
    http://arxiv.org/abs/2010.01048v1

    • [cs.LG]The Sparse Vector Technique, Revisited
    Haim Kaplan, Yishay Mansour, Uri Stemmer
    http://arxiv.org/abs/2010.00917v1

    • [cs.LG]Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring
    An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern Eskofier
    http://arxiv.org/abs/2010.00889v1

    • [cs.LG]Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces
    László Györfi, Roi Weiss
    http://arxiv.org/abs/2010.00636v1

    • [cs.LG]Variance-Reduced Methods for Machine Learning
    Robert M. Gower, Mark Schmidt, Francis Bach, Peter Richtarik
    http://arxiv.org/abs/2010.00892v1

    • [cs.MS]Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library
    Amir Shahmoradi, Fatemeh Bagheri, Joshua Alexander Osborne
    http://arxiv.org/abs/2010.00724v1

    • [cs.NE]An Analysis of Control Parameters of MOEA/D Under Two Different Optimization Scenarios
    Ryoji Tanabe, Hisao Ishibuchi
    http://arxiv.org/abs/2010.00818v1

    • [cs.NE]Are Artificial Dendrites useful in NeuroEvolution?
    Larry Bull
    http://arxiv.org/abs/2010.00918v1

    • [cs.NE]How Far Are We From an Optimal, Adaptive DE?
    Ryoji Tanabe, Alex Fukunaga
    http://arxiv.org/abs/2010.01032v1

    • [cs.NE]Incorporating Machine Learning to Evaluate Solutions to the University Course Timetabling Problem
    Patrick Kenekayoro
    http://arxiv.org/abs/2010.00826v1

    • [cs.NE]Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent
    Vera Steinhoff, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Christian Grimme
    http://arxiv.org/abs/2010.01004v1

    • [cs.NE]Reviewing and Benchmarking Parameter Control Methods in Differential Evolution
    Ryoji Tanabe, Alex Fukunaga
    http://arxiv.org/abs/2010.01035v1

    • [cs.PF]P = FS: Parallel is Just Fast Serial
    Neil J. Gunther
    http://arxiv.org/abs/2010.00754v1

    • [cs.RO]Continuous close-range 3D object pose estimation
    Bjarne Grossmann, Francesco Rovida, Volker Krueger
    http://arxiv.org/abs/2010.00829v1

    • [cs.RO]Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
    Lirui Wang, Yu Xiang, Dieter Fox
    http://arxiv.org/abs/2010.00824v1

    • [cs.RO]Integrated Task and Motion Planning
    Caelan Reed Garrett, Rohan Chitnis, Rachel Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez
    http://arxiv.org/abs/2010.01083v1

    • [cs.RO]MADRaS : Multi Agent Driving Simulator
    Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran
    http://arxiv.org/abs/2010.00993v1

    • [cs.RO]Memory Clustering using Persistent Homology for Multimodality- and Discontinuity-Sensitive Learning of Optimal Control Warm-starts
    Wolfgang Merkt, Vladimir Ivan, Traiko Dinev, Ioannis Havoutis, Sethu Vijayakumar
    http://arxiv.org/abs/2010.01024v1

    • [cs.RO]Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives
    Alper Kamil Bozkurt, Yu Wang, Michael Zavlanos, Miroslav Pajic
    http://arxiv.org/abs/2010.01050v1

    • [cs.RO]Numerical Methods to Compute the Coriolis Matrix and Christoffel Symbols for Rigid-Body Systems
    Sebastian Echeandia, Patrick M. Wensing
    http://arxiv.org/abs/2010.01033v1

    • [cs.RO]Planning a Sequence of Base Positions for a Mobile Manipulator to Perform Multiple Pick-and-Place Tasks
    Jingren Xu, Yukiyasu Domae, Toshio Ueshiba, Weiwei Wan, Kensuke Harada
    http://arxiv.org/abs/2010.00779v1

    • [cs.RO]Towards Multi-Robot Task-Motion Planning for Navigation in Belief Space
    Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
    http://arxiv.org/abs/2010.00780v1

    • [cs.SD]Deep Composer Classification Using Symbolic Representation
    Sunghyeon Kim, Hyeyoon Lee, Sunjong Park, Jinho Lee, Keunwoo Choi
    http://arxiv.org/abs/2010.00823v1

    • [cs.SI]#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election
    Emily Chen, Ashok Deb, Emilio Ferrara
    http://arxiv.org/abs/2010.00600v1

    • [cs.SI]A Recommender System based on the analysis of personality traits in Telegram social network
    Mohammad Javad Shayegan, Mohadese Valizadeh
    http://arxiv.org/abs/2010.00643v1

    • [cs.SI]Community embeddings reveal large-scale cultural organization of online platforms
    Isaac Waller, Ashton Anderson
    http://arxiv.org/abs/2010.00590v2

    • [cs.SI]Event Detection in Twitter by Weighting Tweet’s Features
    Parinaz Rahimizadeh, Mohammad Javad Shayegan
    http://arxiv.org/abs/2010.00665v1

    • [cs.SI]Generalized Centrality Aggregation and Exclusive Centrality
    Mostafa Haghir Chehreghani
    http://arxiv.org/abs/2010.01019v1

    • [econ.TH]On Statistical Discrimination as a Failure of Social Learning: A Multi-Armed Bandit Approach
    Junpei Komiyama, Shunya Noda
    http://arxiv.org/abs/2010.01079v1

    • [eess.AS]Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model
    Taegyun Kwon, Dasaem Jeong, Juhan Nam
    http://arxiv.org/abs/2010.01104v1

    • [eess.IV]Efficient Image Super-Resolution Using Pixel Attention
    Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong
    http://arxiv.org/abs/2010.01073v1

    • [eess.IV]Morphological segmentation of hyperspectral images
    Guillaume Noyel, Jesus Angulo, Dominique Jeulin
    http://arxiv.org/abs/2010.00853v1

    • [eess.IV]Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging
    Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov
    http://arxiv.org/abs/2010.00907v1

    • [eess.IV]Weight Encode Reconstruction Network for Computed Tomography in a Semi-Case-Wise and Learning-Based Way
    Hujie Pan, Xuesong Li, Min Xu
    http://arxiv.org/abs/2010.00893v1

    • [eess.SP]Performance Analysis and Optimization of NOMA with HARQ for Short Packet Communications in Massive IoT
    Fatemeh Ghanami, Ghosheh Abed Hodtani, Branka Vucetic, Mahyar Shirvanimoghaddam
    http://arxiv.org/abs/2010.00708v1

    • [math.AT]Hyperharmonic analysis for the study of high-order information-theoretic signals
    Anibal M. Medina-Mardones, Fernando E. Rosas, Sebastián E. Rodríguez, Rodrigo Cofré
    http://arxiv.org/abs/2010.01117v1

    • [math.NA]Data-driven model reduction for stochastic Burgers equations
    Fei Lu
    http://arxiv.org/abs/2010.00736v1

    • [math.OC]A variable metric mini-batch proximal stochastic recursive gradient algorithm with diagonal Barzilai-Borwein stepsize
    Tengteng Yu, Xin-Wei Liu, Yu-Hong Dai, Jie Sun
    http://arxiv.org/abs/2010.00817v1

    • [math.OC]Distributed Proximal Splitting Algorithms with Rates and Acceleration
    Laurent Condat, Grigory Malinovsky, Peter Richtárik
    http://arxiv.org/abs/2010.00952v1

    • [math.OC]Nonsmoothness in Machine Learning: specific structure, proximal identification, and applications
    Franck Iutzeler, Jérôme Malick
    http://arxiv.org/abs/2010.00848v1

    • [q-bio.NC]Relaxing the Constraints on Predictive Coding Models
    Beren Millidge, Alexander Tschantz, Anil Seth, Christopher L Buckley
    http://arxiv.org/abs/2010.01047v1

    • [q-bio.OT]Estimands in Hematologic Oncology Trials
    Steven Sun, Hans-Jochen Weber, Emily Butler, Kaspar Rufibach, Satrajit Roychoudhury
    http://arxiv.org/abs/2010.00957v1

    • [q-bio.QM]Beyond Chemical 1D knowledge using Transformers
    Ruud van Deursen, Igor V. Tetko, Guillaume Godin
    http://arxiv.org/abs/2010.01027v1

    • [quant-ph]Bounding the forward classical capacity of bipartite quantum channels
    Dawei Ding, Sumeet Khatri, Yihui Quek, Peter W. Shor, Xin Wang, Mark M. Wilde
    http://arxiv.org/abs/2010.01058v1

    • [stat.AP]Commuting Network Spillovers and COVID-19 Deaths Across US Counties
    Christopher Seto, Aria Khademi, Corina Graif, Vasant G. Honavar
    http://arxiv.org/abs/2010.01101v1

    • [stat.AP]Visualizing probability distributions across bivariate cyclic temporal granularities
    Sayani Gupta, Rob J Hyndman, Dianne Cook, Antony Unwin
    http://arxiv.org/abs/2010.00794v1

    • [stat.CO]Improving performances of MCMC for Nearest Neighbor Gaussian Process models with full data augmentation
    Sébastien Coube, Benoît Liquet
    http://arxiv.org/abs/2010.00896v1

    • [stat.ME]Causal coupling inference from multivariate time series based on ordinal pattern transition networks
    Narayan Puthanmadam Subramaniyam, Reik V. Donner, Davide Caron, Gabriella Panuccio, Jari Hyttinen
    http://arxiv.org/abs/2010.00948v1

    • [stat.ME]Evaluating real-time probabilistic forecasts with application to National Basketball Association outcome prediction
    Chi-Kuang Yeh, Gregory Rice, Joel A. Dubin
    http://arxiv.org/abs/2010.00781v1

    • [stat.ME]Individual-centered partial information in social networks
    Xiao Han, Xin Tong
    http://arxiv.org/abs/2010.00729v1

    • [stat.ME]Optimal Allocation of Gold Standard Testing under Constrained Availability: Application to Assessment of HIV Treatment Failure
    Tao Liu, Joseph W. Hogan, Lisa Wang, Shangxuan Zhang, Rami Kantor
    http://arxiv.org/abs/2010.00692v1

    • [stat.ML]Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
    Wei Deng, Qi Feng, Georgios Karagiannis, Guang Lin, Faming Liang
    http://arxiv.org/abs/2010.01084v1

    • [stat.ML]Regularized K-means through hard-thresholding
    Jakob Raymaekers, Ruben H. Zamar
    http://arxiv.org/abs/2010.00950v1

    • [stat.ML]Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks
    Ryo Karakida, Kazuki Osawa
    http://arxiv.org/abs/2010.00879v1

    • [stat.ML]When to Impute? Imputation before and during cross-validation
    Byron C. Jaeger, Nicholas J. Tierney, Noah R. Simon
    http://arxiv.org/abs/2010.00718v1