astro-ph.CO - 宇宙学和天体物理学

    cond-mat.dis-nn - 无序系统与神经网络 cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.FL - 形式语言与自动机理论 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.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 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.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.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.chem-ph -化学物理 q-bio.NC - 神经元与认知 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

    • [astro-ph.CO]AI-assisted super-resolution cosmological simulations
    • [cond-mat.dis-nn]Unfolding recurrence by Green’s functions for optimized reservoir computing
    • [cs.AI]Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter
    • [cs.AI]Explaining Creative Artifacts
    • [cs.AI]MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings
    • [cs.AI]Video Game Level Repair via Mixed Integer Linear Programming
    • [cs.AR]Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
    • [cs.CL]”What Are You Trying to Do?” Semantic Typing of Event Processes
    • [cs.CL]A Graph Representation of Semi-structured Data for Web Question Answering
    • [cs.CL]A Multi-Modal Method for Satire Detection using Textual and Visual Cues
    • [cs.CL]A Relaxed Matching Procedure for Unsupervised BLI
    • [cs.CL]A Self-supervised Representation Learning of Sentence Structure for Authorship Attribution
    • [cs.CL]A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering
    • [cs.CL]An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models
    • [cs.CL]Annotationsaurus: A Searchable Directory of Annotation Tools
    • [cs.CL]Are Some Words Worth More than Others?
    • [cs.CL]AutoADR: Automatic Model Design for Ad Relevance
    • [cs.CL]BioMegatron: Larger Biomedical Domain Language Model
    • [cs.CL]Chinese Lexical Simplification
    • [cs.CL]CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring
    • [cs.CL]Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks
    • [cs.CL]DA-Transformer: Distance-aware Transformer
    • [cs.CL]Dissecting the components and factors of Neural Text Generation
    • [cs.CL]Enhancing the Identification of Cyberbullying through Participant Roles
    • [cs.CL]Exploiting Spectral Augmentation for Code-Switched Spoken Language Identification
    • [cs.CL]Geometry matters: Exploring language examples at the decision boundary
    • [cs.CL]Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview
    • [cs.CL]Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model
    • [cs.CL]Joint Constrained Learning for Event-Event Relation Extraction
    • [cs.CL]Language Networks: a Practical Approach
    • [cs.CL]Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback
    • [cs.CL]Learning Word Representations for Tunisian Sentiment Analysis
    • [cs.CL]Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search
    • [cs.CL]Medical Code Assignment with Gated Convolution and Note-Code Interaction
    • [cs.CL]Memformer: The Memory-Augmented Transformer
    • [cs.CL]Modeling Protagonist Emotions for Emotion-Aware Storytelling
    • [cs.CL]Neural Databases
    • [cs.CL]No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection
    • [cs.CL]Pagsusuri ng RNN-based Transfer Learning Technique sa Low-Resource Language
    • [cs.CL]Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability
    • [cs.CL]Probing for Multilingual Numerical Understanding in Transformer-Based Language Models
    • [cs.CL]Re-evaluating Evaluation in Text Summarization
    • [cs.CL]Recipes for Safety in Open-domain Chatbots
    • [cs.CL]Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems
    • [cs.CL]Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
    • [cs.CL]Sensitivity of BLANC to human-scored qualities of text summaries
    • [cs.CL]Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries
    • [cs.CL]Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach
    • [cs.CL]Text Classification Using Label Names Only: A Language Model Self-Training Approach
    • [cs.CL]The EOS Decision and Length Extrapolation
    • [cs.CL]Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion
    • [cs.CL]Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision
    • [cs.CL]Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
    • [cs.CL]With Little Power Comes Great Responsibility
    • [cs.CL]fugashi, a Tool for Tokenizing Japanese in Python
    • [cs.CR]Bankrupting Sybil Despite Churn
    • [cs.CV]A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation
    • [cs.CV]A Vector-based Representation to Enhance Head Pose Estimation
    • [cs.CV]AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing
    • [cs.CV]Adaptive-Attentive Geolocalization from few queries: a hybrid approach
    • [cs.CV]Are all negatives created equal in contrastive instance discrimination?
    • [cs.CV]Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning
    • [cs.CV]Better Patch Stitching for Parametric Surface Reconstruction
    • [cs.CV]Coarse and fine-grained automatic cropping deep convolutional neural network
    • [cs.CV]Deep Learning from Small Amount of Medical Data with Noisy Labels: A Meta-Learning Approach
    • [cs.CV]Development of Open Informal Dataset Affecting Autonomous Driving
    • [cs.CV]FC-DCNN: A densely connected neural network for stereo estimation
    • [cs.CV]Ferrograph image classification
    • [cs.CV]Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation
    • [cs.CV]Learning Propagation Rules for Attribution Map Generation
    • [cs.CV]Manifold-Net: Using Manifold Learning for Point Cloud Classification
    • [cs.CV]Multi-Scale Networks for 3D Human PoseEstimation with Inference Stage Optimization
    • [cs.CV]Multi-class segmentation under severe class imbalance: A case study in roof damage assessment
    • [cs.CV]On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation
    • [cs.CV]PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite Imagery with Multi-stage Training
    • [cs.CV]Relative Depth Estimation as a Ranking Problem
    • [cs.CV]Rotation Averaging with Attention Graph Neural Networks
    • [cs.CV]Self-Supervised Ranking for Representation Learning
    • [cs.CV]Semantic Flow-guided Motion Removal Method for Robust Mapping
    • [cs.CV]Semantic Segmentation for Partially Occluded Apple Trees Based on Deep Learning
    • [cs.CV]Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed
    • [cs.CV]Video Action Understanding: A Tutorial
    • [cs.CV]Vision-Aided Radio: User Identity Match in Radio and Video Domains Using Machine Learning
    • [cs.CV]WeightAlign: Normalizing Activations by Weight Alignment
    • [cs.CY]A Systematic Review on Online Exams Solutions in E-learning — Techniques, Tools, and Global Adoption
    • [cs.CY]Croatian public companies for energy distribution and supply: integration of information subsystems
    • [cs.CY]Representativity Fairness in Clustering
    • [cs.CY]Towards Increasing Trust In Expert Evidence Derived From Malware Forensic Tools
    • [cs.CY]Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora
    • [cs.DB]Data Readiness Report
    • [cs.DB]On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection
    • [cs.DC]A Tendermint Light Client
    • [cs.DC]A lightweight design for serverless Function-as-a-Service
    • [cs.DC]Blockene: A High-throughput Blockchain Over Mobile Devices
    • [cs.DC]Fault-tolerant and Transactional Stateful Serverless Workflows (extended version)
    • [cs.DC]On the performance of a highly-scalable Computational Fluid Dynamics code on AMD, ARM and Intel processors
    • [cs.DC]Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime
    • [cs.DC]Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger
    • [cs.DC]Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing
    • [cs.DM]On the similarity between ranking vectors in the pairwise comparison method
    • [cs.FL]Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction
    • [cs.GT]Power in Liquid Democracy
    • [cs.HC]EmoG- Towards Emojifying Gmail Conversations
    • [cs.IR]GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music
    • [cs.IR]Group-Buying Recommendation for Social E-Commerce
    • [cs.IR]Modurec: Recommender Systems with Feature and Time Modulation
    • [cs.IT]Computability of the Zero-Error Capacity of Noisy Channels
    • [cs.IT]Decoding of Interleaved Alternant Codes
    • [cs.IT]Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures
    • [cs.IT]Fairness for Freshness: Optimal Age of Information Based OFDMA Scheduling with Minimal Knowledge
    • [cs.IT]Full-stack Hybrid Beamforming in mmWave 5G Networks
    • [cs.IT]Generalized Nearest Neighbor Decoding
    • [cs.IT]Introducing Three Best Known Goppa Codes
    • [cs.IT]New non-binary quantum codes from skew constacyclic codes over the ring $\mathbb{F}{pm}+v^2 \mathbb{F}{p^m}$
    • [cs.IT]Online Shaping for ISI Channels with a Limited Number of ADC Bits
    • [cs.IT]Partial Information Decomposition of Boolean Functions: a Fourier Analysis perspective
    • [cs.IT]Polar Coding for Multi-level 3-Receiver Broadcast Channels
    • [cs.IT]UAV Trajectory and Communication Co-design: Flexible Path Discretization and Path Compression
    • [cs.LG]A first look into the carbon footprint of federated learning
    • [cs.LG]An Adversarial Attack against Stacked Capsule Autoencoder
    • [cs.LG]Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings
    • [cs.LG]Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural Network
    • [cs.LG]Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
    • [cs.LG]Data Augmentation for Meta-Learning
    • [cs.LG]Deep Ensembles for Low-Data Transfer Learning
    • [cs.LG]Deep Neural Network Training with Frank-Wolfe
    • [cs.LG]Differentiable Causal Discovery Under Unmeasured Confounding
    • [cs.LG]Differentiable Implicit Layers
    • [cs.LG]Disentangled Dynamic Graph Deep Generation
    • [cs.LG]Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast—-Choose Three
    • [cs.LG]Equitable Allocation of Healthcare Resources with Fair Cox Models
    • [cs.LG]Exchanging Lessons Between Algorithmic Fairness and Domain Generalization
    • [cs.LG]FedGroup: Ternary Cosine Similarity-based Clustered Federated Learning Framework toward High Accuracy in Heterogeneity Data
    • [cs.LG]Function Contrastive Learning of Transferable Representations
    • [cs.LG]GreedyFool: An Imperceptible Black-box Adversarial Example Attack against Neural Networks
    • [cs.LG]Higher-Order Certification for Randomized Smoothing
    • [cs.LG]Identifying Wrongly Predicted Samples: A Method for Active Learning
    • [cs.LG]InstantEmbedding: Efficient Local Node Representations
    • [cs.LG]Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
    • [cs.LG]Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond
    • [cs.LG]Learning Deep Features in Instrumental Variable Regression
    • [cs.LG]Learning Robust Models Using The Principle of Independent Causal Mechanisms
    • [cs.LG]LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching
    • [cs.LG]Local Differential Privacy for Bayesian Optimization
    • [cs.LG]Measuring Visual Generalization in Continuous Control from Pixels
    • [cs.LG]Measuring the originality of intellectual property assets based on machine learning outputs
    • [cs.LG]Mixed data Deep Gaussian Mixture Model: A clustering model for mixed datasets
    • [cs.LG]Motif Learning in Knowledge Graphsusing Trajectories Of Differential Equations
    • [cs.LG]On the Fairness of Causal Algorithmic Recourse
    • [cs.LG]Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning
    • [cs.LG]Random Network Distillation as a Diversity Metric for Both Image and Text Generation
    • [cs.LG]Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection
    • [cs.LG]Scalable Graph Networks for Particle Simulations
    • [cs.LG]Self-Imitation Learning in Sparse Reward Settings
    • [cs.LG]Succinct Explanations With Cascading Decision Trees
    • [cs.LG]Training independent subnetworks for robust prediction
    • [cs.LG]Transfer2Attack: Text Adversarial Attack with Cross-Domain Interpretability
    • [cs.LG]TriNE: Network Representation Learning for Tripartite Heterogeneous Networks
    • [cs.LG]Weight Squeezing: Reparameterization for Compression and Fast Inference
    • [cs.LO]A spatial model checker in GPU (extended version)
    • [cs.NE]Analogical and Relational Reasoning with Spiking Neural Networks
    • [cs.NE]Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment
    • [cs.NI]Applying Graph-based Deep Learning To Realistic Network Scenarios
    • [cs.PF]Robust Ranking of Linear Algebra Algorithms via Relative Performance
    • [cs.RO]A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles
    • [cs.RO]A Heteroscedastic Likelihood Model for Two-frame Optical Flow
    • [cs.RO]Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions
    • [cs.RO]InsClustering: Instantly Clustering LiDAR Range Measures for Autonomous Vehicle
    • [cs.RO]Mechanical Design Improvement of a Passive Device to Assist Eating in People Living with Movement Disorders
    • [cs.RO]Mechanical Orthosis Mechanism to Facilitate the Extension of the Leg
    • [cs.RO]Motivations and Preliminary Design for Mid-Air Deployment of a Science Rotorcraft on Mars
    • [cs.RO]UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning
    • [cs.RO]xVIO: A Range-Visual-Inertial Odometry Framework
    • [cs.SD]Towards Resistant Audio Adversarial Examples
    • [cs.SI]Against the Others! Detecting Moral Outrage inSocial Media Networks
    • [cs.SI]Data compression to choose a proper dynamic network representation
    • [cs.SI]Influence Maximization Based on Dynamic Personal Perception in Knowledge Graph
    • [cs.SI]NwQM: A neural quality assessment framework for Wikipedia
    • [cs.SI]Probabilistic Social Learning Improves the Public’s Detection of Misinformation
    • [cs.SI]Refining Similarity Matrices to Cluster Attributed Networks Accurately
    • [econ.EM]Kernel Methods for Policy Evaluation: Treatment Effects, Mediation Analysis, and Off-Policy Planning
    • [eess.AS]On Front-end Gain Invariant Modeling for Wake Word Spotting
    • [eess.AS]Towards Data-efficient Modeling for Wake Word Spotting
    • [eess.IV]3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
    • [eess.IV]Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach
    • [eess.IV]Domain Shift in Computer Vision models for MRI data analysis: An Overview
    • [eess.IV]Efficient and high accuracy 3-D OCT angiography motion correction in pathology
    • [eess.IV]Fader Networks for domain adaptation on fMRI: ABIDE-II study
    • [eess.IV]Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture
    • [eess.IV]Low-rank Convex/Sparse Thermal Matrix Approximation for Infrared-based Diagnostic System
    • [eess.IV]Practical Deep Raw Image Denoising on Mobile Dev
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    ices
    • [eess.SP]Binarization Methods for Motor-Imagery Brain-Computer Interface Classification
    • [eess.SP]Coarse-Grained Nonlinear System Identification
    • [eess.SP]Deep Delay Loop Reservoir Computing for Specific Emitter Identification
    • [eess.SP]Designing Massive MIMO Detector via PS-ADMM approach
    • [eess.SP]Joint SO(3)-Spectral Domain Filtering of Spherical Signals in the Presence of Anisotropic Noise
    • [eess.SP]Spatial-Slepian Transform on the Sphere
    • [eess.SY]Extended Koopman Models
    • [eess.SY]Towards the Transportation Internet: Concepts, Architectures and Requirements
    • [math.DS]Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows
    • [math.NA]Probabilistic simulation of partial differential equations
    • [math.OC]Asymptotic Randomised Control with applications to bandits
    • [math.OC]High-Order Oracle Complexity of Smooth and Strongly Convex Optimization
    • [math.PR]Central Limit Theorem and Moderate deviation for nonhomogenenous Markov chains
    • [math.ST]Cramer-von Mises tests for Change Points
    • [math.ST]Flexible mean field variational inference using mixtures of non-overlapping exponential families
    • [math.ST]Robust covariance estimation for distributed principal component analysis
    • [math.ST]Stochastic modelling of Gaussian processes by improper linear functionals
    • [physics.chem-ph]Machine Learning Force Fields
    • [q-bio.NC]A Graph Neural Network Framework for Causal Inference in Brain Networks
    • [stat.AP]Estimations of means and variances in a Markov linear model
    • [stat.AP]Prediction and model-assisted estimation of diameter distributions using Norwegian national forest inventory and airborne laser scanning data
    • [stat.AP]Transportation Interventions Reshaping NYC Commute: the Probabilistic Simulation Framework Assessing the Impacts of Ridesharing and Manhattan Congestion Surcharge
    • [stat.CO]Neural Mixture Distributional Regression
    • [stat.ME]A Distribution-Free Test of Covariate Shift Using Conformal Prediction
    • [stat.ME]An Extreme Value Bayesian Lasso for the Conditional Bulk and Tail
    • [stat.ME]Conditional Monte Carlo revisited
    • [stat.ME]Diffusion Based Gaussian Processes on Restricted Domains
    • [stat.ME]Discriminant Analysis of Distributional Data viaFractional Programming
    • [stat.ME]Incorporating survival data into case-control studies with incident and prevalent cases
    • [stat.ME]Projection Predictive Inference for Generalized Linear and Additive Multilevel Models
    • [stat.ME]Sample and Computationally Efficient Simulation Metamodeling in High Dimensions
    • [stat.ME]Scalable changepoint and anomaly detection in cross-correlated data with an application to condition monitoring
    • [stat.ME]The Kendall Interaction Filter for Variable Interaction Screening in Ultra High Dimensional Classification Problems
    • [stat.ML]Error-guided likelihood-free MCMC
    • [stat.ML]Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy
    • [stat.ML]Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting
    • [stat.ML]Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting
    • [stat.ML]Theoretical bounds on estimation error for meta-learning
    • [stat.ML]Training Neural Networks with Property-Preserving Parameter Perturbations
    • [stat.ML]VEST: Automatic Feature Engineering for Forecasting

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

    • [astro-ph.CO]AI-assisted super-resolution cosmological simulations
    Yin Li, Yueying Ni, Rupert A. C. Croft, Tiziana Di Matteo, Simeon Bird, Yu Feng
    http://arxiv.org/abs/2010.06608v1

    • [cond-mat.dis-nn]Unfolding recurrence by Green’s functions for optimized reservoir computing
    Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias
    http://arxiv.org/abs/2010.06247v2

    • [cs.AI]Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter
    Pulkit Sharma, Shezan Rohinton Mirzan, Apurva Bhandari, Anish Pimpley, Abhiram Eswaran, Soundar Srinivasan, Liqun Shao
    http://arxiv.org/abs/2010.06734v1

    • [cs.AI]Explaining Creative Artifacts
    Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher
    http://arxiv.org/abs/2010.07126v1

    • [cs.AI]MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings
    Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng
    http://arxiv.org/abs/2010.07152v1

    • [cs.AI]Video Game Level Repair via Mixed Integer Linear Programming
    Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
    http://arxiv.org/abs/2010.06627v1

    • [cs.AR]Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
    Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-mei Hwu, Deming Chen
    http://arxiv.org/abs/2010.07185v1

    • [cs.CL]“What Are You Trying to Do?” Semantic Typing of Event Processes
    Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth
    http://arxiv.org/abs/2010.06724v1

    • [cs.CL]A Graph Representation of Semi-structured Data for Web Question Answering
    Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang
    http://arxiv.org/abs/2010.06801v1

    • [cs.CL]A Multi-Modal Method for Satire Detection using Textual and Visual Cues
    Lily Li, Or Levi, Pedram Hosseini, David A. Broniatowski
    http://arxiv.org/abs/2010.06671v1

    • [cs.CL]A Relaxed Matching Procedure for Unsupervised BLI
    Xu Zhao, Zihao Wang, Hao Wu, Yong Zhang
    http://arxiv.org/abs/2010.07095v1

    • [cs.CL]A Self-supervised Representation Learning of Sentence Structure for Authorship Attribution
    Fereshteh Jafariakinabad, Kien A. Hua
    http://arxiv.org/abs/2010.06786v1

    • [cs.CL]A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering
    Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha
    http://arxiv.org/abs/2010.06835v1

    • [cs.CL]An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models
    Zihan Zhao, Yuncong Liu, Lu Chen, Qi Liu, Rao Ma, Kai Yu
    http://arxiv.org/abs/2010.07109v1

    • [cs.CL]Annotationsaurus: A Searchable Directory of Annotation Tools
    Mariana Neves, Jurica Seva
    http://arxiv.org/abs/2010.06251v2

    • [cs.CL]Are Some Words Worth More than Others?
    Shiran Dudy, Steven Bedrick
    http://arxiv.org/abs/2010.06069v2

    • [cs.CL]AutoADR: Automatic Model Design for Ad Relevance
    Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang
    http://arxiv.org/abs/2010.07075v1

    • [cs.CL]BioMegatron: Larger Biomedical Domain Language Model
    Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani
    http://arxiv.org/abs/2010.06060v2

    • [cs.CL]Chinese Lexical Simplification
    Jipeng Qiang, Xinyu Lu, Yun Li, Yunhao Yuan, Yang Shi, Xindong Wu
    http://arxiv.org/abs/2010.07048v1

    • [cs.CL]CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring
    Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han
    http://arxiv.org/abs/2010.06714v1

    • [cs.CL]Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks
    Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
    http://arxiv.org/abs/2010.06310v2

    • [cs.CL]DA-Transformer: Distance-aware Transformer
    Chuhan Wu, Fangzhao Wu, Yongfeng Huang
    http://arxiv.org/abs/2010.06925v1

    • [cs.CL]Dissecting the components and factors of Neural Text Generation
    Khyathi Raghavi Chandu, Alan W Black
    http://arxiv.org/abs/2010.07279v1

    • [cs.CL]Enhancing the Identification of Cyberbullying through Participant Roles
    Gathika Ratnayaka, Thushari Atapattu, Mahen Herath, Georgia Zhang, Katrina Falkner
    http://arxiv.org/abs/2010.06640v1

    • [cs.CL]Exploiting Spectral Augmentation for Code-Switched Spoken Language Identification
    Pradeep Rangan, Sundeep Teki, Hemant Misra
    http://arxiv.org/abs/2010.07130v1

    • [cs.CL]Geometry matters: Exploring language examples at the decision boundary
    Debajyoti Datta, Shashwat Kumar, Laura Barnes, Tom Fletcher
    http://arxiv.org/abs/2010.07212v1

    • [cs.CL]Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview
    Alena Butryna, Shan-Hui Cathy Chu, Isin Demirsahin, Alexander Gutkin, Linne Ha, Fei He, Martin Jansche, Cibu Johny, Anna Katanova, Oddur Kjartansson, Chenfang Li, Tatiana Merkulova, Yin May Oo, Knot Pipatsrisawat, Clara Rivera, Supheakmungkol Sarin, Pasindu de Silva, Keshan Sodimana, Richard Sproat, Theeraphol Wattanavekin, Jaka Aris Eko Wibawa
    http://arxiv.org/abs/2010.06778v1

    • [cs.CL]Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model
    Mingzhi Zheng, Dinghan Shen, Yelong Shen, Weizhu Chen, Lin Xiao
    http://arxiv.org/abs/2010.06040v2

    • [cs.CL]Joint Constrained Learning for Event-Event Relation Extraction
    Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth
    http://arxiv.org/abs/2010.06727v1

    • [cs.CL]Language Networks: a Practical Approach
    Jorge A. V. Tohalino, Diego R. Amancio
    http://arxiv.org/abs/2010.06710v1

    • [cs.CL]Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback
    Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy
    http://arxiv.org/abs/2010.07261v1

    • [cs.CL]Learning Word Representations for Tunisian Sentiment Analysis
    Abir Messaoudi, Hatem Haddad, Moez Ben HajHmida, Chayma Fourati, Abderrazak Ben Hamida
    http://arxiv.org/abs/2010.06857v1

    • [cs.CL]Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search
    Gyuwan Kim, Kyunghyun Cho
    http://arxiv.org/abs/2010.07003v1

    • [cs.CL]Medical Code Assignment with Gated Convolution and Note-Code Interaction
    Shaoxiong Ji, Shirui Pan, Pekka Marttinen
    http://arxiv.org/abs/2010.06975v1

    • [cs.CL]Memformer: The Memory-Augmented Transformer
    Qingyang Wu, Zhenzhong Lan, Jing Gu, Zhou Yu
    http://arxiv.org/abs/2010.06891v1

    • [cs.CL]Modeling Protagonist Emotions for Emotion-Aware Storytelling
    Faeze Brahman, Snigdha Chaturvedi
    http://arxiv.org/abs/2010.06822v1

    • [cs.CL]Neural Databases
    James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Halevy
    http://arxiv.org/abs/2010.06973v1

    • [cs.CL]No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection
    Debanjana Kar, Mohit Bhardwaj, Suranjana Samanta, Amar Prakash Azad
    http://arxiv.org/abs/2010.06906v1

    • [cs.CL]Pagsusuri ng RNN-based Transfer Learning Technique sa Low-Resource Language
    Dan John Velasco
    http://arxiv.org/abs/2010.06447v2

    • [cs.CL]Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability
    Yuxian Meng, Chun Fan, Zijun Sun, Eduard Hovy, Fei Wu, Jiwei Li
    http://arxiv.org/abs/2010.06943v1

    • [cs.CL]Probing for Multilingual Numerical Understanding in Transformer-Based Language Models
    Devin Johnson, Denise Mak, Drew Barker, Lexi Loessberg-Zahl
    http://arxiv.org/abs/2010.06666v1

    • [cs.CL]Re-evaluating Evaluation in Text Summarization
    Manik Bhandari, Pranav Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig
    http://arxiv.org/abs/2010.07100v1

    • [cs.CL]Recipes for Safety in Open-domain Chatbots
    Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, Emily Dinan
    http://arxiv.org/abs/2010.07079v1

    • [cs.CL]Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems
    Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin
    http://arxiv.org/abs/2010.06823v1

    • [cs.CL]Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
    Xu Zhao, Zihao Wang, Hao Wu, Yong Zhang
    http://arxiv.org/abs/2010.07101v1

    • [cs.CL]Sensitivity of BLANC to human-scored qualities of text summaries
    Oleg Vasilyev, Vedant Dharnidharka, Nicholas Egan, Charlene Chambliss, John Bohannon
    http://arxiv.org/abs/2010.06716v1

    • [cs.CL]Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries
    Xiaofei Sun, Chun Fan, Zijun Sun, Yuxian Meng, Fei Wu, Jiwei Li
    http://arxiv.org/abs/2010.07074v1

    • [cs.CL]Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach
    Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu
    http://arxiv.org/abs/2010.06792v1

    • [cs.CL]Text Classification Using Label Names Only: A Language Model Self-Training Approach
    Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han
    http://arxiv.org/abs/2010.07245v1

    • [cs.CL]The EOS Decision and Length Extrapolation
    Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning
    http://arxiv.org/abs/2010.07174v1

    • [cs.CL]Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion
    Ankur Goswami, Akshata Bhat, Hadar Ohana, Theodoros Rekatsinas
    http://arxiv.org/abs/2010.06804v1

    • [cs.CL]Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision
    Hao Tan, Mohit Bansal
    http://arxiv.org/abs/2010.06775v1

    • [cs.CL]Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
    Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han
    http://arxiv.org/abs/2010.06705v1

    • [cs.CL]With Little Power Comes Great Responsibility
    Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky
    http://arxiv.org/abs/2010.06595v1

    • [cs.CL]fugashi, a Tool for Tokenizing Japanese in Python
    Paul McCann
    http://arxiv.org/abs/2010.06858v1

    • [cs.CR]Bankrupting Sybil Despite Churn
    Diksha Gupta, Jared Saia, Maxwell Young
    http://arxiv.org/abs/2010.06834v1

    • [cs.CV]A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation
    Alican Mertan, Yusuf Huseyin Sahin, Damien Jade Duff, Gozde Unal
    http://arxiv.org/abs/2010.07091v1

    • [cs.CV]A Vector-based Representation to Enhance Head Pose Estimation
    Zhiwen Cao, Zongcheng Chu, Dongfang Liu, Yingjie Chen
    http://arxiv.org/abs/2010.07184v1

    • [cs.CV]AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing
    Nanyu Li, Charles C. Zhou
    http://arxiv.org/abs/2010.06907v1

    • [cs.CV]Adaptive-Attentive Geolocalization from few queries: a hybrid approach
    Gabriele Moreno Berton, Valerio Paolicelli, Carlo Masone, Barbara Caputo
    http://arxiv.org/abs/2010.06897v1

    • [cs.CV]Are all negatives created equal in contrastive instance discrimination?
    Tiffany, Cai, Jonathan Frankle, David J. Schwab, Ari S. Morcos
    http://arxiv.org/abs/2010.06682v1

    • [cs.CV]Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning
    Xinyu Yang, Majid Mirmehdi, Tilo Burghardt
    http://arxiv.org/abs/2010.07217v1

    • [cs.CV]Better Patch Stitching for Parametric Surface Reconstruction
    Zhantao Deng, Jan Bednařík, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/2010.07021v1

    • [cs.CV]Coarse and fine-grained automatic cropping deep convolutional neural network
    Jingfei Chang
    http://arxiv.org/abs/2010.06379v2

    • [cs.CV]Deep Learning from Small Amount of Medical Data with Noisy Labels: A Meta-Learning Approach
    Görkem Algan, Ilkay Ulusoy, Şaban Gönül, Banu Turgut, Berker Bakbak
    http://arxiv.org/abs/2010.06939v1

    • [cs.CV]Development of Open Informal Dataset Affecting Autonomous Driving
    Yong-Gu Lee, Seong-Jae Lee, Sang-Jin Lee, Tae-Seung Baek, Dong-Whan Lee, Kyeong-Chan Jang, Ho-Jin Sohn, Jin-Soo Kim
    http://arxiv.org/abs/2010.06900v1

    • [cs.CV]FC-DCNN: A densely connected neural network for stereo estimation
    Dominik Hirner, Friedrich Fraundorfer
    http://arxiv.org/abs/2010.06950v1

    • [cs.CV]Ferrograph image classification
    Peng Peng, Jiugen Wang
    http://arxiv.org/abs/2010.06777v1

    • [cs.CV]Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation
    Teruo M. Maruyama, Luiz S. Oliveira, Alceu S. Britto Jr, Robert Sabourin
    http://arxiv.org/abs/2010.06663v1

    • [cs.CV]Learning Propagation Rules for Attribution Map Generation
    Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang
    http://arxiv.org/abs/2010.07210v1

    • [cs.CV]Manifold-Net: Using Manifold Learning for Point Cloud Classification
    Dinghao Yang, Wei Gao
    http://arxiv.org/abs/2010.07215v1

    • [cs.CV]Multi-Scale Networks for 3D Human PoseEstimation with Inference Stage Optimization
    Cheng Yu, Bo Wang, Bo Yang, Robby T. Tan
    http://arxiv.org/abs/2010.06844v1

    • [cs.CV]Multi-class segmentation under severe class imbalance: A case study in roof damage assessment
    Jean-Baptiste Boin, Nat Roth, Jigar Doshi, Pablo Llueca, Nicolas Borensztein
    http://arxiv.org/abs/2010.07151v1

    • [cs.CV]On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation
    Raul de Queiroz Mendes, Eduardo Godinho Ribeiro, Nicolas dos Santos Rosa, Valdir Grassi Jr
    http://arxiv.org/abs/2010.06626v1

    • [cs.CV]PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite Imagery with Multi-stage Training
    An Tran, Ali Zonoozi, Jagannadan Varadarajan, Hannes Kruppa
    http://arxiv.org/abs/2010.06932v1

    • [cs.CV]Relative Depth Estimation as a Ranking Problem
    Alican Mertan, Damien Jade Duff, Gozde Unal
    http://arxiv.org/abs/2010.06944v1

    • [cs.CV]Rotation Averaging with Attention Graph Neural Networks
    Joshua Thorpe, Ruwan Tennakoon, Alireza Bab-Hadiashar
    http://arxiv.org/abs/2010.06773v1

    • [cs.CV]Self-Supervised Ranking for Representation Learning
    Ali Varamesh, Ali Diba, Tinne Tuytelaars, Luc Van Gool
    http://arxiv.org/abs/2010.07258v1

    • [cs.CV]Semantic Flow-guided Motion Removal Method for Robust Mapping
    Xudong Lv, Boya Wang, Dong Ye, Shuo Wang
    http://arxiv.org/abs/2010.06876v1

    • [cs.CV]Semantic Segmentation for Partially Occluded Apple Trees Based on Deep Learning
    Zijue Chen, David Ting, Rhys Newbury, Chao Chen
    http://arxiv.org/abs/2010.06879v1

    • [cs.CV]Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed
    Dong Li, Sitong Chen, Xudong Liu, Yunda Sun, Li Zhang
    http://arxiv.org/abs/2010.06821v1

    • [cs.CV]Video Action Understanding: A Tutorial
    Matthew Hutchinson, Vijay Gadepally
    http://arxiv.org/abs/2010.06647v1

    • [cs.CV]Vision-Aided Radio: User Identity Match in Radio and Video Domains Using Machine Learning
    Vinicius M. de Pinho, Marcello L. R. de Campos, Luis Uzeda Garcia, Dalia Popescu
    http://arxiv.org/abs/2010.07219v1

    • [cs.CV]WeightAlign: Normalizing Activations by Weight Alignment
    Xiangwei Shi, Yunqiang Li, Xin Liu, Jan van Gemert
    http://arxiv.org/abs/2010.07160v1

    • [cs.CY]A Systematic Review on Online Exams Solutions in E-learning — Techniques, Tools, and Global Adoption
    Abdul Wahab Muzaffar, Muhammad Tahir, Muhammad Waseem Anwar, Qaiser Chaudry, Shamaila Rasheed Mir
    http://arxiv.org/abs/2010.07086v1

    • [cs.CY]Croatian public companies for energy distribution and supply: integration of information subsystems
    V. Simovic, M. Varga, V. Simovic
    http://arxiv.org/abs/2010.07055v1

    • [cs.CY]Representativity Fairness in Clustering
    Deepak P, Savitha Sam Abraham
    http://arxiv.org/abs/2010.07054v1

    • [cs.CY]Towards Increasing Trust In Expert Evidence Derived From Malware Forensic Tools
    Ian Kennedy, Arosha Bandara, Blaine Price
    http://arxiv.org/abs/2010.07188v1

    • [cs.CY]Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora
    Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel A. McFarland, Xiang Ren
    http://arxiv.org/abs/2010.06657v1

    • [cs.DB]Data Readiness Report
    Shazia Afzal, Rajmohan C, Manish Kesarwani, Sameep Mehta, Hima Patel
    http://arxiv.org/abs/2010.07213v1

    • [cs.DB]On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection
    Sheng Wang, Yuan Sun, Zhifeng Bao
    http://arxiv.org/abs/2010.06654v1

    • [cs.DC]A Tendermint Light Client
    Sean Braithwaite, Ethan Buchman, Ismail Khoffi, Igor Konnov, Zarko Milosevic, Romain Ruetschi, Josef Widder
    http://arxiv.org/abs/2010.07031v1

    • [cs.DC]A lightweight design for serverless Function-as-a-Service
    Ju Long, Hung-Ying Tai, Shen-Ta Hsieh, Michael Juntao Yuan
    http://arxiv.org/abs/2010.07115v1

    • [cs.DC]Blockene: A High-throughput Blockchain Over Mobile Devices
    Sambhav Satija, Apurv Mehra, Sudheesh Singanamalla, Karan Grover, Muthian Sivathanu, Nishanth Chandran, Divya Gupta, Satya Lokam
    http://arxiv.org/abs/2010.07277v1

    • [cs.DC]Fault-tolerant and Transactional Stateful Serverless Workflows (extended version)
    Haoran Zhang, Adney Cardoza, Peter Baile Chen, Sebastian Angel, Vincent Liu
    http://arxiv.org/abs/2010.06706v1

    • [cs.DC]On the performance of a highly-scalable Computational Fluid Dynamics code on AMD, ARM and Intel processors
    Pablo Ouro, Unai Lopez-Novoa, Martyn Guest
    http://arxiv.org/abs/2010.07111v1

    • [cs.DC]Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime
    Weile Wei, Arghya Chatterjee, Kevin Huck, Oscar Hernandez, Hartmut Kaiser
    http://arxiv.org/abs/2010.07098v1

    • [cs.DC]Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger
    Duncan A. Brown, Karan Vahi, Michela Taufer, Von Welch, Ewa Deelman
    http://arxiv.org/abs/2010.07244v1

    • [cs.DC]Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing
    Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng
    http://arxiv.org/abs/2010.07268v1

    • [cs.DM]On the similarity between ranking vectors in the pairwise comparison method
    Konrad Kułakowski, Jiří Mazurek, Michał Strada
    http://arxiv.org/abs/2010.04778v1

    • [cs.FL]Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction
    Mingyu Cai, Shaoping Xiao, Zhen Kan
    http://arxiv.org/abs/2010.06797v1

    • [cs.GT]Power in Liquid Democracy
    Yuzhe Zhang, Davide Grossi
    http://arxiv.org/abs/2010.07070v1

    • [cs.HC]EmoG- Towards Emojifying Gmail Conversations
    Akhila Sri Manasa Venigalla, Sridhar Chimalakonda
    http://arxiv.org/abs/2010.06403v2

    • [cs.IR]GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music
    Qiuqiang Kong, Bochen Li, Jitong Chen, Yuxuan Wang
    http://arxiv.org/abs/2010.07061v1

    • [cs.IR]Group-Buying Recommendation for Social E-Commerce
    Jun Zhang, Chen Gao, Depeng Jin, Yong Li
    http://arxiv.org/abs/2010.06848v1

    • [cs.IR]Modurec: Recommender Systems with Feature and Time Modulation
    Javier Maroto, Clément Vignac, Pascal Frossard
    http://arxiv.org/abs/2010.07050v1

    • [cs.IT]Computability of the Zero-Error Capacity of Noisy Channels
    Holger Boche, Christian Deppe
    http://arxiv.org/abs/2010.06873v1

    • [cs.IT]Decoding of Interleaved Alternant Codes
    Lukas Holzbaur, Hedongliang Liu, Alessandro Neri, Sven Puchinger, Johan Rosenkilde, Vladimir Sidorenko, Antonia Wachter-Zeh
    http://arxiv.org/abs/2010.07142v1

    • [cs.IT]Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures
    Aaron Berk
    http://arxiv.org/abs/2010.06652v1

    • [cs.IT]Fairness for Freshness: Optimal Age of Information Based OFDMA Scheduling with Minimal Knowledge
    Bin Han, Yao Zhu, Zhiyuan Jiang, Muxia Sun, Hans D. Schotten
    http://arxiv.org/abs/2010.07139v1

    • [cs.IT]Full-stack Hybrid Beamforming in mmWave 5G Networks
    Felipe Gomez-Cuba, Tommaso Zugno, Junseok Kim, Michele Polese, Saewoong Bahk, Michele Zorzi
    http://arxiv.org/abs/2010.06836v1

    • [cs.IT]Generalized Nearest Neighbor Decoding
    Yizhu Wang, Wenyi Zhang
    http://arxiv.org/abs/2010.06791v1

    • [cs.IT]Introducing Three Best Known Goppa Codes
    Jan L. Carrasquillo-López, Axel O. Gómez-Flores, Christopher Soto, Fernando Piñero
    http://arxiv.org/abs/2010.07278v1

    • [cs.IT]New non-binary quantum codes from skew constacyclic codes over the ring $\mathbb{F}{pm}+v^2 \mathbb{F}{p^m}$
    Ram Krishna Verma, Om Prakash, Ashutosh Singh
    http://arxiv.org/abs/2010.07175v1

    • [cs.IT]Online Shaping for ISI Channels with a Limited Number of ADC Bits
    Or Levi, Dan Raphaeli
    http://arxiv.org/abs/2010.06963v1

    • [cs.IT]Partial Information Decomposition of Boolean Functions: a Fourier Analysis perspective
    Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
    http://arxiv.org/abs/2010.06976v1

    • [cs.IT]Polar Coding for Multi-level 3-Receiver Broadcast Channels
    Karthik Nagarjuna Tunuguntla, Paul H. Siegel
    http://arxiv.org/abs/2010.07228v1

    • [cs.IT]UAV Trajectory and Communication Co-design: Flexible Path Discretization and Path Compression
    Yijun Guo, Changsheng You, Changchuan Yin, Rui Zhang
    http://arxiv.org/abs/2010.07068v1

    • [cs.LG]A first look into the carbon footprint of federated learning
    Xinchi Qiu, Titouan Parcolle, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
    http://arxiv.org/abs/2010.06537v2

    • [cs.LG]An Adversarial Attack against Stacked Capsule Autoencoder
    Jiazhu Dai, Siwei Xiong
    http://arxiv.org/abs/2010.07230v1

    • [cs.LG]Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings
    Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi
    http://arxiv.org/abs/2010.06667v1

    • [cs.LG]Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural Network
    Ankur Verma
    http://arxiv.org/abs/2010.06952v1

    • [cs.LG]Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
    Ghazi Felhi, Joseph Leroux, Djamé Seddah
    http://arxiv.org/abs/2010.06549v2

    • [cs.LG]Data Augmentation for Meta-Learning
    Renkun Ni, Micah Goldblum, Amr Sharaf, Kezhi Kong, Tom Goldstein
    http://arxiv.org/abs/2010.07092v1

    • [cs.LG]Deep Ensembles for Low-Data Transfer Learning
    Basil Mustafa, Carlos Riquelme, Joan Puigcerver, andAndré Susano Pinto, Daniel Keysers, Neil Houlsby
    http://arxiv.org/abs/2010.06866v1

    • [cs.LG]Deep Neural Network Training with Frank-Wolfe
    Sebastian Pokutta, Christoph Spiegel, Max Zimmer
    http://arxiv.org/abs/2010.07243v1

    • [cs.LG]Differentiable Causal Discovery Under Unmeasured Confounding
    Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser
    http://arxiv.org/abs/2010.06978v1

    • [cs.LG]Differentiable Implicit Layers
    Andreas Look, Simona Doneva, Melih Kandemir, Rainer Gemulla, Jan Peters
    http://arxiv.org/abs/2010.07078v1

    • [cs.LG]Disentangled Dynamic Graph Deep Generation
    Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao
    http://arxiv.org/abs/2010.07276v1

    • [cs.LG]Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast—-Choose Three
    Steven Reich, David Mueller, Nicholas Andrews
    http://arxiv.org/abs/2010.06721v1

    • [cs.LG]Equitable Allocation of Healthcare Resources with Fair Cox Models
    Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds
    http://arxiv.org/abs/2010.06820v1

    • [cs.LG]Exchanging Lessons Between Algorithmic Fairness and Domain Generalization
    Elliot Creager, Jörn-Henrik Jacobsen, Richard Zemel
    http://arxiv.org/abs/2010.07249v1

    • [cs.LG]FedGroup: Ternary Cosine Similarity-based Clustered Federated Learning Framework toward High Accuracy in Heterogeneity Data
    Moming Duan, Duo Liu, Xinyuan Ji, Renping Liu, Liang Liang, Xianzhang Chen, Yujuan Tan
    http://arxiv.org/abs/2010.06870v1

    • [cs.LG]Function Contrastive Learning of Transferable Representations
    Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman, Stefan Bauer, Manuel Wüthrich, Bernhard Schölkopf
    http://arxiv.org/abs/2010.07093v1

    • [cs.LG]GreedyFool: An Imperceptible Black-box Adversarial Example Attack against Neural Networks
    Hui Liu, Bo Zhao, Jiabao Guo, Pengyuan Zhao, Peng Liu
    http://arxiv.org/abs/2010.06855v1

    • [cs.LG]Higher-Order Certification for Randomized Smoothing
    Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
    http://arxiv.org/abs/2010.06651v1

    • [cs.LG]Identifying Wrongly Predicted Samples: A Method for Active Learning
    Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino
    http://arxiv.org/abs/2010.06890v1

    • [cs.LG]InstantEmbedding: Efficient Local Node Representations
    Ştefan Postăvaru, Anton Tsitsulin, Filipe Miguel Gonçalves de Almeida, Yingtao Tian, Silvio Lattanzi, Bryan Perozzi
    http://arxiv.org/abs/2010.06992v1

    • [cs.LG]Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
    Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
    http://arxiv.org/abs/2010.06808v1

    • [cs.LG]Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond
    Rajaei Khatib, Dror Simon, Michael Elad
    http://arxiv.org/abs/2010.07069v1

    • [cs.LG]Learning Deep Features in Instrumental Variable Regression
    Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton
    http://arxiv.org/abs/2010.07154v1

    • [cs.LG]Learning Robust Models Using The Principle of Independent Causal Mechanisms
    Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
    http://arxiv.org/abs/2010.07167v1

    • [cs.LG]LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching
    Qun Liu, Matthew Shreve, Raja Bala
    http://arxiv.org/abs/2010.06668v1

    • [cs.LG]Local Differential Privacy for Bayesian Optimization
    Xingyu Zhou, Jian Tan
    http://arxiv.org/abs/2010.06709v1

    • [cs.LG]Measuring Visual Generalization in Continuous Control from Pixels
    Jake Grigsby, Yanjun Qi
    http://arxiv.org/abs/2010.06740v1

    • [cs.LG]Measuring the originality of intellectual property assets based on machine learning outputs
    Sébastien Ragot
    http://arxiv.org/abs/2010.06997v1

    • [cs.LG]Mixed data Deep Gaussian Mixture Model: A clustering model for mixed datasets
    Robin Fuchs, Denys Pommeret, Cinzia Viroli
    http://arxiv.org/abs/2010.06661v1

    • [cs.LG]Motif Learning in Knowledge Graphsusing Trajectories Of Differential Equations
    Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Sahar Vahdati
    http://arxiv.org/abs/2010.06684v1

    • [cs.LG]On the Fairness of Causal Algorithmic Recourse
    Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf
    http://arxiv.org/abs/2010.06529v2

    • [cs.LG]Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning
    Stefan Zwaard, Henk-Jan Boele, Hani Alers, Christos Strydis, Casey Lew-Williams, Zaid Al-Ars
    http://arxiv.org/abs/2010.07259v1

    • [cs.LG]Random Network Distillation as a Diversity Metric for Both Image and Text Generation
    Liam Fowl, Micah Goldblum, Arjun Gupta, Amr Sharaf, Tom Goldstein
    http://arxiv.org/abs/2010.06715v1

    • [cs.LG]Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection
    Chunkai Zhang, Wei Zuo, Xuan Wang
    http://arxiv.org/abs/2010.06846v1

    • [cs.LG]Scalable Graph Networks for Particle Simulations
    Karolis Martinkus, Aurelien Lucchi, Nathanaël Perraudin
    http://arxiv.org/abs/2010.06948v1

    • [cs.LG]Self-Imitation Learning in Sparse Reward Settings
    Zhixin Chen, Mengxiang Lin
    http://arxiv.org/abs/2010.06962v1

    • [cs.LG]Succinct Explanations With Cascading Decision Trees
    Jialu Zhang, Mark Santolucito, Ruzica Piskac
    http://arxiv.org/abs/2010.06631v1

    • [cs.LG]Training independent subnetworks for robust prediction
    Marton Havasi, Rodolphe Jenatton, Stanislav Fort, Jeremiah Zhe Liu, Jasper Snoek, Balaji Lakshminarayanan, Andrew M. Dai, Dustin Tran
    http://arxiv.org/abs/2010.06610v1

    • [cs.LG]Transfer2Attack: Text Adversarial Attack with Cross-Domain Interpretability
    Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung
    http://arxiv.org/abs/2010.06812v1

    • [cs.LG]TriNE: Network Representation Learning for Tripartite Heterogeneous Networks
    Zhabiz Gharibshah, Xingquan Zhu
    http://arxiv.org/abs/2010.06816v1

    • [cs.LG]Weight Squeezing: Reparameterization for Compression and Fast Inference
    Artem Chumachenko, Daniil Gavrilov, Pavel Kalaidin
    http://arxiv.org/abs/2010.06993v1

    • [cs.LO]A spatial model checker in GPU (extended version)
    Laura Bussi, Vincenzo Ciancia, Fabio Gadducci
    http://arxiv.org/abs/2010.07284v1

    • [cs.NE]Analogical and Relational Reasoning with Spiking Neural Networks
    Rollin Omari, R. I., McKay, Tom Gedeon
    http://arxiv.org/abs/2010.06746v1

    • [cs.NE]Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment
    Matthew Evanusa, Yiannis Aloimonos, Cornelia Fermüller
    http://arxiv.org/abs/2010.06209v2

    • [cs.NI]Applying Graph-based Deep Learning To Realistic Network Scenarios
    Miquel Ferriol-Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio
    http://arxiv.org/abs/2010.06686v1

    • [cs.PF]Robust Ranking of Linear Algebra Algorithms via Relative Performance
    Aravind Sankaran, Paolo Bientinesi
    http://arxiv.org/abs/2010.07226v1

    • [cs.RO]A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles
    Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima, Jonas Mårtensson, Bo Wahlberg
    http://arxiv.org/abs/2010.07133v1

    • [cs.RO]A Heteroscedastic Likelihood Model for Two-frame Optical Flow
    Timothy Farnworth, Christopher Renton, Reuben Strydom, Adrian Wills, Tristan Perez
    http://arxiv.org/abs/2010.06871v1

    • [cs.RO]Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions
    Nikhil Churamani, Pablo Barros, Hatice Gunes, Stefan Wermter
    http://arxiv.org/abs/2010.07221v1

    • [cs.RO]InsClustering: Instantly Clustering LiDAR Range Measures for Autonomous Vehicle
    You Li, Clément Le Bihan, Txomin Pourtau, Thomas Ristorcelli
    http://arxiv.org/abs/2010.06681v1

    • [cs.RO]Mechanical Design Improvement of a Passive Device to Assist Eating in People Living with Movement Disorders
    Michaël Dubé, Thierry Laliberté, Véronique Flamand, François Routhier, Alexandre Campeau-Lecours
    http://arxiv.org/abs/2010.06752v1

    • [cs.RO]Mechanical Orthosis Mechanism to Facilitate the Extension of the Leg
    Gabrielle Lemire, Thierry Laliberté, Alexandre Campeau-Lecours
    http://arxiv.org/abs/2010.06751v1

    • [cs.RO]Motivations and Preliminary Design for Mid-Air Deployment of a Science Rotorcraft on Mars
    Jeff Delaune, Jacob Izraelevitz, Larry A. Young, William Rapin, Evgeniy Sklyanskiy, Wayne Johnson, Aaron Schutte, Abigail Fraeman, Valerie Scott, Carl Leake, Erik Ballesteros, Shannah Withrow, Raghav Bhagwat, Haley Cummings, Kim Aaron, Marcel Veismann, Skylar Wei, Regina Lee, Luis Pabon Madrid, Morteza Gharib, Joel Burdick
    http://arxiv.org/abs/2010.06630v1

    • [cs.RO]UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning
    Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
    http://arxiv.org/abs/2010.06917v1

    • [cs.RO]xVIO: A Range-Visual-Inertial Odometry Framework
    Jeff Delaune, David S. Bayard, Roland Brockers
    http://arxiv.org/abs/2010.06677v1

    • [cs.SD]Towards Resistant Audio Adversarial Examples
    Tom Dörr, Karla Markert, Nicolas M. Müller, Konstantin Böttinger
    http://arxiv.org/abs/2010.07190v1

    • [cs.SI]Against the Others! Detecting Moral Outrage inSocial Media Networks
    Wienke Strathern, Mirco Schoenfeld, Raji Ghawi, Juergen Pfeffer
    http://arxiv.org/abs/2010.07237v1

    • [cs.SI]Data compression to choose a proper dynamic network representation
    Remy Cazabet
    http://arxiv.org/abs/2010.06885v1

    • [cs.SI]Influence Maximization Based on Dynamic Personal Perception in Knowledge Graph
    Ya-Wen Teng, Yishuo Shi, Chih-Hua Tai, De-Nian Yang, Wang-Chien Lee, Ming-Syan Chen
    http://arxiv.org/abs/2010.07125v1

    • [cs.SI]NwQM: A neural quality assessment framework for Wikipedia
    Bhanu Prakash Reddy, Sasi Bhusan, Soumya Sarkar, Animesh Mukherjee
    http://arxiv.org/abs/2010.06969v1

    • [cs.SI]Probabilistic Social Learning Improves the Public’s Detection of Misinformation
    Douglas Guilbeault, Samuel Woolley, Joshua Becker
    http://arxiv.org/abs/2010.06019v2

    • [cs.SI]Refining Similarity Matrices to Cluster Attributed Networks Accurately
    Yuta Yajima, Akihiro Inokuchi
    http://arxiv.org/abs/2010.06854v1

    • [econ.EM]Kernel Methods for Policy Evaluation: Treatment Effects, Mediation Analysis, and Off-Policy Planning
    Rahul Singh, Liyuan Xu, Arthur Gretton
    http://arxiv.org/abs/2010.04855v2

    • [eess.AS]On Front-end Gain Invariant Modeling for Wake Word Spotting
    Yixin Gao, Noah D. Stein, Chieh-Chi Kao, Yunliang Cai, Ming Sun, Tao Zhang, Shiv Vitaladevuni
    http://arxiv.org/abs/2010.06676v1

    • [eess.AS]Towards Data-efficient Modeling for Wake Word Spotting
    Yixin Gao, Yuriy Mishchenko, Anish Shah, Spyros Matsoukas, Shiv Vitaladevuni
    http://arxiv.org/abs/2010.06659v1

    • [eess.IV]3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
    Eva Schnider, Antal Horváth, Georg Rauter, Azhar Zam, Magdalena Müller-Gerbl, Philippe C. Cattin
    http://arxiv.org/abs/2010.07045v1

    • [eess.IV]Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach
    Martijn P. A. Starmans, Milea J. M. Timbergen, Melissa Vos, Michel Renckens, Dirk J. Grünhagen, Geert J. L. H. van Leenders, Roy S. Dwarkasing, François E. J. A. Willemssen, Wiro J. Niessen, Cornelis Verhoef, Stefan Sleijfer, Jacob J. Visser, Stefan Klein
    http://arxiv.org/abs/2010.06824v1

    • [eess.IV]Domain Shift in Computer Vision models for MRI data analysis: An Overview
    Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
    http://arxiv.org/abs/2010.07222v1

    • [eess.IV]Efficient and high accuracy 3-D OCT angiography motion correction in pathology
    Stefan B. Ploner, Martin F. Kraus, Eric M. Moult, Lennart Husvogt, Julia Schottenhamml, A. Yasin Alibhai, Nadia K. Waheed, Jay S. Duker, James G. Fujimoto, Andreas K. Maier
    http://arxiv.org/abs/2010.06931v1

    • [eess.IV]Fader Networks for domain adaptation on fMRI: ABIDE-II study
    Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
    http://arxiv.org/abs/2010.07233v1
    1000
    1000)

    • [eess.IV]Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture
    David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Johanna Vanel, Ole Solheim, Ingerid Reinertsen
    http://arxiv.org/abs/2010.07002v1

    • [eess.IV]Low-rank Convex/Sparse Thermal Matrix Approximation for Infrared-based Diagnostic System
    Bardia Yousefi, Clemente Ibarra Castanedo, Xavier P. V. Maldague
    http://arxiv.org/abs/2010.06784v1

    • [eess.IV]Practical Deep Raw Image Denoising on Mobile Dev
    5724
    ices
    Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang
    http://arxiv.org/abs/2010.06935v1

    • [eess.SP]Binarization Methods for Motor-Imagery Brain-Computer Interface Classification
    Michael Hersche, Luca Benini, Abbas Rahimi
    http://arxiv.org/abs/2010.07004v1

    • [eess.SP]Coarse-Grained Nonlinear System Identification
    Span Spanbauer, Ian Hunter
    http://arxiv.org/abs/2010.06830v1

    • [eess.SP]Deep Delay Loop Reservoir Computing for Specific Emitter Identification
    Silvija Kokalj-Filipovic, Paul Toliver, William Johnson, Raymond R. Hoare II, Joseph J. Jezak
    http://arxiv.org/abs/2010.06649v1

    • [eess.SP]Designing Massive MIMO Detector via PS-ADMM approach
    Quan Zhang, Yongchao Wang
    http://arxiv.org/abs/2010.06798v1

    • [eess.SP]Joint SO(3)-Spectral Domain Filtering of Spherical Signals in the Presence of Anisotropic Noise
    Adeem Aslam, Zubair Khalid
    http://arxiv.org/abs/2010.07260v1

    • [eess.SP]Spatial-Slepian Transform on the Sphere
    Adeem Aslam, Zubair Khalid
    http://arxiv.org/abs/2010.07266v1

    • [eess.SY]Extended Koopman Models
    Span Spanbauer, Ian Hunter
    http://arxiv.org/abs/2010.06845v1

    • [eess.SY]Towards the Transportation Internet: Concepts, Architectures and Requirements
    Hui Li, Yongquan Chen, Bokui Chen, Chong Wang
    http://arxiv.org/abs/2010.06880v1

    • [math.DS]Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows
    Peter Benner, Pawan Goyal, Jan Heiland, Igor Pontes Duff
    http://arxiv.org/abs/2010.06701v1

    • [math.NA]Probabilistic simulation of partial differential equations
    Philipp Frank, Torsten A. Enßlin
    http://arxiv.org/abs/2010.06583v1

    • [math.OC]Asymptotic Randomised Control with applications to bandits
    Samuel N. Cohen, Tanut Treetanthiploet
    http://arxiv.org/abs/2010.07252v1

    • [math.OC]High-Order Oracle Complexity of Smooth and Strongly Convex Optimization
    Guy Kornowski, Ohad Shamir
    http://arxiv.org/abs/2010.06642v1

    • [math.PR]Central Limit Theorem and Moderate deviation for nonhomogenenous Markov chains
    Mingzhou Xu, Yunzheng Ding, Yongzheng Zhou
    http://arxiv.org/abs/2010.06790v1

    • [math.ST]Cramer-von Mises tests for Change Points
    Rasmus Erlemann, Richard Lockhart, Rihan Yao
    http://arxiv.org/abs/2010.07072v1

    • [math.ST]Flexible mean field variational inference using mixtures of non-overlapping exponential families
    Jeffrey P. Spence
    http://arxiv.org/abs/2010.06768v1

    • [math.ST]Robust covariance estimation for distributed principal component analysis
    Kangqiang Li, Han Bao, Lixin Zhang
    http://arxiv.org/abs/2010.06851v1

    • [math.ST]Stochastic modelling of Gaussian processes by improper linear functionals
    Niels Lundtorp Olsen
    http://arxiv.org/abs/2010.06968v1

    • [physics.chem-ph]Machine Learning Force Fields
    Oliver T. Unke, Stefan Chmiela, Huziel E. Sauceda, Michael Gastegger, Igor Poltavsky, Kristof T. Schütt, Alexandre Tkatchenko, Klaus-Robert Müller
    http://arxiv.org/abs/2010.07067v1

    • [q-bio.NC]A Graph Neural Network Framework for Causal Inference in Brain Networks
    Simon Wein, Wilhelm Malloni, Ana Maria Tomé, Sebastian M. Frank, Gina-Isabelle Henze, Stefan Wüst, Mark W. Greenlee, Elmar W. Lang
    http://arxiv.org/abs/2010.07143v1

    • [stat.AP]Estimations of means and variances in a Markov linear model
    Abraham Gutierrez, Sebastian Müller
    http://arxiv.org/abs/2010.06999v1

    • [stat.AP]Prediction and model-assisted estimation of diameter distributions using Norwegian national forest inventory and airborne laser scanning data
    Janne Räty, Rasmus Astrup, Johannes Breidenbach
    http://arxiv.org/abs/2010.07107v1

    • [stat.AP]Transportation Interventions Reshaping NYC Commute: the Probabilistic Simulation Framework Assessing the Impacts of Ridesharing and Manhattan Congestion Surcharge
    Devashish Khulbe, Chaogui Kang, Stanislav Sobolevsky
    http://arxiv.org/abs/2010.06588v1

    • [stat.CO]Neural Mixture Distributional Regression
    David Rügamer, Florian Pfisterer, Bernd Bischl
    http://arxiv.org/abs/2010.06889v1

    • [stat.ME]A Distribution-Free Test of Covariate Shift Using Conformal Prediction
    Xiaoyu Hu, Jing Lei
    http://arxiv.org/abs/2010.07147v1

    • [stat.ME]An Extreme Value Bayesian Lasso for the Conditional Bulk and Tail
    Miguel de Carvalho, Soraia Pereira, Paula Pereira, Patrícia de Zea Bermudez
    http://arxiv.org/abs/2010.07164v1

    • [stat.ME]Conditional Monte Carlo revisited
    Bo Henry Lindqvist, Rasmus Erlemann, Gunnar Taraldsen
    http://arxiv.org/abs/2010.07065v1

    • [stat.ME]Diffusion Based Gaussian Processes on Restricted Domains
    David B Dunson, Hau-Tieng Wu, Nan Wu
    http://arxiv.org/abs/2010.07242v1

    • [stat.ME]Discriminant Analysis of Distributional Data viaFractional Programming
    S. Dias, P. Brito, P. Amaral
    http://arxiv.org/abs/2010.06941v1

    • [stat.ME]Incorporating survival data into case-control studies with incident and prevalent cases
    Soutrik Mandal, Jing Qin, Ruth Pfeiffer
    http://arxiv.org/abs/2010.07204v1

    • [stat.ME]Projection Predictive Inference for Generalized Linear and Additive Multilevel Models
    Alejandro Catalina, Paul-Christian Bürkner, Aki Vehtari
    http://arxiv.org/abs/2010.06994v1

    • [stat.ME]Sample and Computationally Efficient Simulation Metamodeling in High Dimensions
    Liang Ding, Xiaowei Zhang
    http://arxiv.org/abs/2010.06802v1

    • [stat.ME]Scalable changepoint and anomaly detection in cross-correlated data with an application to condition monitoring
    Martin Tveten, Idris A. Eckley, Paul Fearnhead
    http://arxiv.org/abs/2010.06937v1

    • [stat.ME]The Kendall Interaction Filter for Variable Interaction Screening in Ultra High Dimensional Classification Problems
    Youssef Anzarmou, Abdallah Mkhadri, Karim Oualkacha
    http://arxiv.org/abs/2010.06688v1

    • [stat.ML]Error-guided likelihood-free MCMC
    Volodimir Begy, Erich Schikuta
    http://arxiv.org/abs/2010.06735v1

    • [stat.ML]Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy
    Onur Teymur, Jackson Gorham, Marina Riabiz, Chris. J. Oates
    http://arxiv.org/abs/2010.07064v1

    • [stat.ML]Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting
    Adam D. Cobb, Brian Jalaian
    http://arxiv.org/abs/2010.06772v1

    • [stat.ML]Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting
    Haoyu Chen, Wenbin Lu, Rui Song
    http://arxiv.org/abs/2010.07283v1

    • [stat.ML]Theoretical bounds on estimation error for meta-learning
    James Lucas, Mengye Ren, Irene Kameni, Toniann Pitassi, Richard Zemel
    http://arxiv.org/abs/2010.07140v1

    • [stat.ML]Training Neural Networks with Property-Preserving Parameter Perturbations
    Andreas Krämer, Jonas Köhler, Frank Noé
    http://arxiv.org/abs/2010.07033v1

    • [stat.ML]VEST: Automatic Feature Engineering for Forecasting
    Vitor Cerqueira, Nuno Moniz, Carlos Soares
    http://arxiv.org/abs/2010.07137v1