astro-ph.IM - 仪器仪表和天体物理学方法

    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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 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.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 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.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.flu-dyn - 流体动力学 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.IM]Anomaly Detection for Multivariate Time Series of Exotic Supernovae
    • [cond-mat.mtrl-sci]Validation of non-negative matrix factorization for assessment of atomic pair-distribution function (PDF) data in a real-time streaming context
    • [cs.AI]A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach
    • [cs.AI]Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
    • [cs.AI]Computing Diverse Sets of Solutions for Monotone Submodular Optimisation Problems
    • [cs.AI]Conformance Checking for a Medical Training Process Using Petri net Simulation and Sequence Alignment
    • [cs.AI]Exploring search space trees using an adapted version of Monte Carlo tree search for a combinatorial optimization problem
    • [cs.AI]Exponential Negation of a Probability Distribution
    • [cs.AI]From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying
    • [cs.AI]Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling
    • [cs.AI]Meta-trained agents implement Bayes-optimal agents
    • [cs.AI]Multi-Radar Tracking Optimization for Collaborative Combat
    • [cs.AI]Multi-agent active perception with prediction rewards
    • [cs.AI]Neural-Symbolic Integration: A Compositional Perspective
    • [cs.AI]Planning with Submodular Objective Functions
    • [cs.CL]A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
    • [cs.CL]A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks
    • [cs.CL]A Technical Report: BUT Speech Translation Systems
    • [cs.CL]AI-lead Court Debate Case Investigation
    • [cs.CL]An Analysis of Simple Data Augmentation for Named Entity Recognition
    • [cs.CL]An Industry Evaluation of Embedding-based Entity Alignment
    • [cs.CL]Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models
    • [cs.CL]CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20
    • [cs.CL]Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
    • [cs.CL]Challenges in Information Seeking QA:Unanswerable Questions and Paragraph Retrieval
    • [cs.CL]Clustering-based Inference for Zero-Shot Biomedical Entity Linking
    • [cs.CL]Compositional Generalization via Semantic Tagging
    • [cs.CL]ConVEx: Data-Efficient and Few-Shot Slot Labeling
    • [cs.CL]Cross Copy Network for Dialogue Generation
    • [cs.CL]Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data
    • [cs.CL]Detection of COVID-19 informative tweets using RoBERTa
    • [cs.CL]Developing Real-time Streaming Transformer Transducer for Speech Recognition on Large-scale Dataset
    • [cs.CL]Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
    • [cs.CL]EIGEN: Event Influence GENeration using Pre-trained Language Models
    • [cs.CL]Exploit Multiple Reference Graphs for Semi-supervised Relation Extraction
    • [cs.CL]Improving BERT Performance for Aspect-Based Sentiment Analysis
    • [cs.CL]Improving Simultaneous Translation with Pseudo References
    • [cs.CL]Incorporating Stylistic Lexical Preferences in Generative Language Models
    • [cs.CL]Investigating the True Performance of Transformers in Low-Resource Languages: A Case Study in Automatic Corpus Creation
    • [cs.CL]Knowledge Distillation for BERT Unsupervised Domain Adaptation
    • [cs.CL]Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses
    • [cs.CL]LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition
    • [cs.CL]Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures
    • [cs.CL]Learning to Summarize Long Texts with Memory Compression and Transfer
    • [cs.CL]Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas
    • [cs.CL]MAM: Masked Acoustic Modeling for End-to-End Speech-to-T
    5000
    ext Translation
    • [cs.CL]Method of noun phrase detection in Ukrainian texts
    • [cs.CL]Multi-dimensional Style Transfer for Partially Annotated Data using Language Models as Discriminators
    • [cs.CL]NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task
    • [cs.CL]Not all parameters are born equal: Attention is mostly what you need
    • [cs.CL]On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition
    • [cs.CL]On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries
    • [cs.CL]Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction
    • [cs.CL]Reducing Unintended Identity Bias in Russian Hate Speech Detection
    • [cs.CL]Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers
    • [cs.CL]STAR: A Schema-Guided Dialog Dataset for Transfer Learning
    • [cs.CL]Scientific Claim Verification with VERT5ERINI
    • [cs.CL]Self-alignment Pre-training for Biomedical Entity Representations
    • [cs.CL]Stronger Transformers for Neural Multi-Hop Question Generation
    • [cs.CL]Towards Fully Bilingual Deep Language Modeling
    • [cs.CL]UniCase — Rethinking Casing in Language Models
    • [cs.CL]XOR QA: Cross-lingual Open-Retrieval Question Answering
    • [cs.CL]mT5: A massively multilingual pre-trained text-to-text transformer
    • [cs.CL]slimIPL: Language-Model-Free Iterative Pseudo-Labeling
    • [cs.CR]Backdoor Attack against Speaker Verification
    • [cs.CR]CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU
    • [cs.CR]Learning Black-Box Attackers with Transferable Priors and Query Feedback
    • [cs.CR]Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic
    • [cs.CR]Malware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline
    • [cs.CV]3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds
    • [cs.CV]AEGIS: A real-time multimodal
    1000
    augmented reality computer vision based system to assist facial expression recognition for individuals with autism spectrum disorder
    • [cs.CV]An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
    • [cs.CV]An explainable deep vision system for animal classification and detection in trail-camera images with automatic post-deployment retraining
    • [cs.CV]Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection
    • [cs.CV]Blind Video Temporal Consistency via Deep Video Prior
    • [cs.CV]Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos
    • [cs.CV]Convolutional Autoencoders for Human Motion Infilling
    • [cs.CV]Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
    • [cs.CV]Efficient Scale-Permuted Backbone with Learned Resource Distribution
    • [cs.CV]F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking
    • [cs.CV]Face Hallucination Using Split-Attention in Split-Attention Network
    • [cs.CV]FasterRCNN Monitoring of Road Damages: Competition and Deployment
    • [cs.CV]Few-Shot Adaptation of Generative Adversarial Networks
    • [cs.CV]Fine-tuned Pre-trained Mask R-CNN Models for Surface Object Detection
    • [cs.CV]Fingerprint Orientation Estimation: Challenges and Opportunities
    • [cs.CV]GAN based Unsupervised Segmentation: Should We Match the Exact Number of Objects
    • [cs.CV]GAZED- Gaze-guided Cinematic Editing of Wide-Angle Monocular Video Recordings
    • [cs.CV]High resolution weakly supervised localization architectures for medical images
    • [cs.CV]Identification of deep breath while moving forward based on multiple body regions and graph signal analysis
    • [cs.CV]L-RED: Efficient Post-Training Detection of Imperceptible Backdoor Attacks without Access to the Training Set
    • [cs.CV]Learning Dual Semantic Relations with Graph Attention for Image-Text Matching
    • [cs.CV]Learning Graph-Based Priors for Generalized Zero-Shot Learning
    • [cs.CV]Learning Loss for Test-Time Augmentation
    • [cs.CV]Learning Occupancy Function from Point Clouds for Surface Reconstruction
    • [cs.CV]Learning to Sort Image Sequences via Accumulated Temporal Differences
    • [cs.CV]Neural Star Domain as Primitive Representation
    • [cs.CV]Novel View Synthesis from only a 6-DoF Camera Pose by Two-stage Networks
    • [cs.CV]On Benchmarking Iris Recognition within a Head-mounted Display for AR/VR Application
    • [cs.CV]Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free
    • [cs.CV]Performance Prediction for Convolutional Neural Networks in Edge Devices
    • [cs.CV]QISTA-Net: DNN Architecture to Solve $\ell_q$-norm Minimization Problem and Image Compressed Sensing
    • [cs.CV]Restoring Negative Information in Few-Shot Object Detection
    • [cs.CV]Self-Supervised Learning of Part Mobility from Point Cloud Sequence
    • [cs.CV]Self-Supervised Shadow Removal
    • [cs.CV]Shedding Light on Blind Spots: Developing a Reference Architecture to Leverage Video Data for Process Mining
    • [cs.CV]Spatio-temporal Features for Generalized Detection of Deepfake Videos
    • [cs.CV]TLGAN: document Text Localization using Generative Adversarial Nets
    • [cs.CV]Task-Adaptive Feature Transformer for Few-Shot Segmentation
    • [cs.CV]Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
    • [cs.CV]Unrolling of Deep Graph Total Variation for Image Denoising
    • [cs.CV]Voronoi Convolutional Neural Networks
    • [cs.CY]Pseudoscientific Content on YouTube: Assessing the Effects of Watch History on the Recommendation Algorithm
    • [cs.CY]Second layer data governance for permissioned blockchains: the privacy management challenge
    • [cs.CY]Understanding the drivers of sustainable land expansion using a patch-level simulation model: A case study in Wuhan, China
    • [cs.CY]Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation
    • [cs.DB]Cluster-and-Conquer: When Randomness Meets Graph Locality
    • [cs.DC]Coded Data Rebalancing for Decentralized Distributed Databases
    • [cs.DC]Fast-HotStuff: A Fast and Resilient HotStuff Protocol
    • [cs.DC]ParaLarH: Parallel FPGA Router based upon Lagrange Heuristics
    • [cs.DC]Resource allocation for task-level speculative scientific applications: a proof of concept using Parallel Trajectory Splicing
    • [cs.DC]Serverless Containers — rising viable approach to Scientific Workflows
    • [cs.DC]Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster
    • [cs.DS]Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time
    • [cs.DS]The Polynomial Method is Universal for Distribution-Free Correlational SQ Learning
    • [cs.GR]SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform
    • [cs.IR]Basket Recommendation with Multi-Intent Translation Graph Neural Network
    • [cs.IR]Distilling Dense Representations for Ranking using Tightly-Coupled Teachers
    • [cs.IR]PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
    • [cs.IT]A Hybrid Approach to Coded Compressed Sensing where Coupling Takes Place via the Outer Code
    • [cs.IT]Energy-Efficient Node Deployment in Heterogeneous Two-Tier Wireless Sensor Networks with Limited Communication Range
    • [cs.IT]Full-Duplex and Dynamic-TDD: Pushing the Limits of Spectrum Reuse in Multi-Cell Communications
    • [cs.IT]How wireless queues benefit from motion: an analysis of the continuum between zero and infinite mobility
    • [cs.IT]Joint Power Allocation and User Association Optimization for IRS-Assisted mmWave Systems
    • [cs.IT]MRI Image Recovery using Damped Denoising Vector AMP
    • [cs.IT]Performance Analysis and Optimization for the MAC Protocol in UAV-based IoT Network
    • [cs.IT]Symmetrical Z-Complementary Code Sets (SZCCSs) for Optimal Training in Generalized Spatial Modulation
    • [cs.LG]A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
    • [cs.LG]Accelerating Reinforcement Learning with Learned Skill Priors
    • [cs.LG]AdapterDrop: On the Efficiency of Adapters in Transformers
    • [cs.LG]Adversarial Attacks on Binary Image Recognition Systems
    • [cs.LG]Adversarial Attacks on Deep Algorithmic Trading Policies
    • [cs.LG]An Efficient Adversarial Attack for Tree Ensembles
    • [cs.LG]Asynchronous Edge Learning using Cloned Knowledge Distillation
    • [cs.LG]Autoregressive Modeling is Misspecified for Some Sequence Distributions
    • [cs.LG]CoinDICE: Off-Policy Confidence Interval Estimation
    • [cs.LG]Continual Learning in Low-rank Orthogonal Subspaces
    • [cs.LG]Convex Polytope Trees
    • [cs.LG]DPD-InfoGAN: Differentially Private Distributed InfoGAN
    • [cs.LG]Deep Learning is Singular, and That’s Good
    • [cs.LG]Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
    • [cs.LG]Deep Surrogate Q-Learning for Autonomous Driving
    • [cs.LG]Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modeling
    • [cs.LG]Defense-guided Transferable Adversarial Attacks
    • [cs.LG]Density of States Graph Kernels
    • [cs.LG]Differentially-Private Federated Linear Bandits
    • [cs.LG]Drift Detection in Episodic Data: Detect When Your Agent Starts Faltering
    • [cs.LG]Efficient robust optimal transport: formulations and algorithms
    • [cs.LG]Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
    • [cs.LG]Error Bounds of Imitating Policies and Environments
    • [cs.LG]Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime
    • [cs.LG]Graph Neural Network for Large-Scale Network Localization
    • [cs.LG]Hierarchical Federated Learning through LAN-WAN Orchestration
    • [cs.LG]How Do Fair Decisions Fare in Long-term Qualification?
    • [cs.LG]In Search of Robust Measures of Generalization
    • [cs.LG]Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
    • [cs.LG]Learning Augmented Energy Minimization via Speed Scaling
    • [cs.LG]Learning Graph Laplacian with MCP
    • [cs.LG]Learning Invariances in Neural Networks
    • [cs.LG]Maximum Mean Discrepancy is Aware of Adversarial Attacks
    • [cs.LG]Metapath- and Entity-aware Graph Neural Network for Recommendation
    • [cs.LG]MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers
    • [cs.LG]MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery
    • [cs.LG]Mixed-Precision Embedding Using a Cache
    • [cs.LG]Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction
    • [cs.LG]N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations
    • [cs.LG]Nonvacuous Loss Bounds with Fast Rates for Neural Networks via Conditional Information Measures
    • [cs.LG]Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data
    • [cs.LG]On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks
    • [cs.LG]On a Guided Nonnegative Matrix Factorization
    • [cs.LG]On the Power of Deep but Naive Partial Label Learning
    • [cs.LG]One-shot Distributed Algorithm for Generalized Eigenvalue Problem
    • [cs.LG]Online Structured Meta-learning
    • [cs.LG]Optimal Approximation — Smoothness Tradeoffs for Soft-Max Functions
    • [cs.LG]Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
    • [cs.LG]Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning
    • [cs.LG]PHEW: Paths with higher edge-weights give “winning tickets” without training data
    • [cs.LG]Pool-based sequential active learning with multi kernels
    • [cs.LG]Posterior Re-calibration for Imbalanced Datasets
    • [cs.LG]Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks
    • [cs.LG]Prediction of Rainfall in Rajasthan, India using Deep and Wide Neural Network
    • [cs.LG]Probabilistic Circuits for Variational Inference in Discrete Graphical Models
    • [cs.LG]Quantile Bandits for Best Arms Identification with Concentration Inequalities
    • [cs.LG]Quaternion-Valued Variational Autoencoder
    • [cs.LG]Quiver Signal Processing (QSP)
    • [cs.LG]Rethinking Evaluation in ASR: Are Our Models Robust Enough?
    • [cs.LG]Rethinking pooling in graph neural networks
    • [cs.LG]Robust Low-tubal-rank Tensor Completion based on Tensor Factorization and Maximum Correntopy Criterion
    • [cs.LG]Sample Efficient Reinforcement Learning with REINFORCE
    • [cs.LG]Scalable Bottom-Up Hierarchical Clustering
    • [cs.LG]Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents
    • [cs.LG]Self-training and Pre-training are Complementary for Speech Recognition
    • [cs.LG]Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
    • [cs.LG]Stability of Algebraic Neural Networks to Small Perturbations
    • [cs.LG]The Primal-Dual method for Learning Augmented Algorithms
    • [cs.LG]The Role of Machine Learning for Trajectory Prediction in Cooperative Driving
    • [cs.LG]Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
    • [cs.LG]Trajectory Prediction using Equivariant Continuous Convolution
    • [cs.LG]UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
    • [cs.LG]What are the Statistical Limits of Offline RL with Linear Function Approximation?
    • [cs.LO]Containment in Monadic Disjunctive Datalog, MMSNP, and Expressive Description Logics
    • [cs.LO]On Finite and Unrestricted Query Entailment beyond SQ with Number Restrictions on Transitive Roles
    • [cs.NE]Brain-Inspired Learning on Neuromorphic Substrates
    • [cs.NE]Logic Guided Genetic Algorithms
    • [cs.PL]Conditional independence by typing
    • [cs.RO]A Novel Variable Stiffness Soft Robotic Gripper
    • [cs.RO]An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay
    • [cs.RO]Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
    • [cs.RO]Bidirectional Microrocker Bots with Sharp Tips Actuated by a Single Electromagnet
    • [cs.RO]FUEL: Fast UAV Exploration using Incremental Frontier Structure and Hierarchical Planning
    • [cs.RO]Faithful Euclidean Distance Field from Log-Gaussian Process Implicit Surfaces
    • [cs.RO]Fast and Robust Bio-inspired Teach and Repeat Navigation
    • [cs.RO]Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty
    • [cs.RO]Learning Quadrupedal Locomotion over Challenging Terrain
    • [cs.RO]Learning Spring Mass Locomotion: Guiding Policies with a Reduced-Order Model
    • [cs.RO]Learning to Plan Optimally with Flow-based Motion Planner
    • [cs.RO]Minimal Exposure Dubins Orienteering Problem
    • [cs.RO]Modeling and Validation of Soft Robotic Snake Locomotion
    • [cs.RO]Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
    • [cs.RO]NightOwl: Robotic Platform for Wheeled Service Robot
    • [cs.RO]Optimization-Based Visual-Inertial SLAM Tightly Coupled with Raw GNSS Measurements
    • [cs.RO]Quantitative analysis of robot gesticulation behavior
    • [cs.RO]Radar detection rate comparison through a mobile robot platform at the ZalaZONE proving ground
    • [cs.RO]Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement
    • [cs.RO]System Design and Control of an Apple Harvesting Robot
    • [cs.RO]Trajectory Tracking for Robotic Arms with Input Saturation and Only Position Measurements
    • [cs.RO]Trip Recovery in Lower-Limb Prostheses using Reachable Sets of Predicted Human Motion
    • [cs.SD]A Framework for Contrastive and Generative Learning of Audio Representations
    • [cs.SD]AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies
    • [cs.SD]Class-Conditional Defense GAN Against End-to-End Speech Attacks
    • [cs.SD]Compositional embedding models for speaker identification and diarization with simultaneous speech from 2+ speakers
    • [cs.SD]CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion
    • [cs.SD]Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training
    • [cs.SD]LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation
    • [cs.SD]Mood Classification Using Listening Data
    • [cs.SD]NU-GAN: High resolution neural upsampling with GAN
    • [cs.SD]Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning
    • [cs.SD]Neural Network-based Acoustic Vehicle Counting
    • [cs.SD]Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow
    • [cs.SD]The HUAWEI Speaker Diarisation System for the VoxCeleb Speaker Diarisation Challenge
    • [cs.SD]Towards Listening to 10 People Simultaneously: An Efficient Permutation Invariant Training of Audio Source Separation Using Sinkhorn’s Algorithm
    • [cs.SD]Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision
    • [cs.SD]Urban Sound Classification : striving towards a fair comparison
    • [cs.SI]Fast Approximate CoSimRanks via Random Projections
    • [cs.SI]Hawkes Process Classification through Discriminative Modeling of Text
    • [cs.SI]Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs
    • [cs.SI]Spikyball sampling: Exploring large networks via an inhomogeneous filtered diffusion
    • [cs.SI]Systematic edge uncertainty in attributed social networks and its effects on rankings of minority nodes
    • [cs.SI]TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing
    • [econ.GN]Does it Pay Off to Learn a New Skill? Revealing the Economic Benefits of Cross-Skilling
    • [eess.AS]Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition
    • [eess.AS]DBNET: DOA-driven beamforming network for end-to-end farfield sound source separation
    • [eess.AS]Graph Attention Networks for Speaker Verification
    • [eess.AS]Learning Speaker Embedding from Text-to-Speech
    • [eess.AS]Position-Agnostic Multi-Microphone Speech Dereverberation
    • [eess.AS]Similarity
    1000
    Analysis of Self-Supervised Speech Representations
    • [eess.IV]Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases
    • [eess.IV]DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
    • [eess.IV]Malaria detection from RBC images using shallow Convolutional Neural Networks
    • [eess.SP]Contrastive Self-Supervised Learning for Wireless Power Control
    • [eess.SP]Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface
    • [eess.SP]Online Time-Varying Topology Identification via Prediction-Correction Algorithms
    • [eess.SP]Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution
    • [eess.SY]Meta-Learning Guarantees for Online Receding Horizon Control
    • [math.NA]Context-aware surrogate modeling for balancing approximation and sampling costs in multi-fidelity importance sampling and Bayesian inverse problems
    • [math.OC]1-norm minimization and minimum-rank structured sparsity for symmetric and ah-symmetric generalized inverses: rank one and two
    • [math.OC]MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics
    • [math.ST]Gaussoids are two-antecedental approximations of Gaussian conditional independence structures
    • [math.ST]Multivariate mean estimation with direction-dependent accuracy
    • [math.ST]On Mean Estimation for Heteroscedastic Random Variables
    • [math.ST]Optimal Change-Point Detection and Localization
    • [math.ST]Positive definiteness of the asymptotic covariance matrix of OLS estimators in parsimonious regressions
    • [math.ST]Sequential Change Detection by Optimal Weighted $\ell_2$ Divergence
    • [physics.comp-ph]Cross-platform programming model for many-core lattice Boltzmann simulations
    • [physics.flu-dyn]Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data
    • [q-bio.NC]A Multi-Componential Approach to Emotion Recognition and the Effect of Personality
    • [q-bio.NC]Factorized Neural Processes for Neural Processes: $K$-Shot Prediction of Neural Responses
    • [q-bio.NC]Identifying Learning Rules From Neural Network Observables
    • [stat.AP]A Systematic Approach to Surveillance and Detection of Hierarchical Healthcare Cost Drivers and Utilization Offsets
    • [stat.AP]Comparison of ARIMA, ETS, NNAR and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy
    • [stat.AP]Integrated causal-predictive machine learning models for tropical cyclone epidemiology
    • [stat.AP]Nonparametric robust monitoring of time series panel data
    • [stat.AP]Robust estimation of SARS-CoV-2 epidemic at US counties
    • [stat.CO]Measure Transport with Kernel Stein Discrepancy
    • [stat.CO]Reversible Jump PDMP Samplers for Variable Selection
    • [stat.ME]A Normal-Gamma Dirichlet Process Mixture Model
    • [stat.ME]Efficient Balanced Treatment Assignments for Experimentation
    • [stat.ME]Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19
    • [stat.ME]Efficient design of geographically-defined clusters with spatial autocorrelation
    • [stat.ME]PLSO: A generative framework for decomposing nonstationary timeseries into piecewise stationary oscillatory components
    • [stat.ME]Robust estimation in beta regression via maximum Lq-likelihood
    • [stat.ML]Beyond Lazy Training for Over-parameterized Tensor Decomposition
    • [stat.ML]Classification with Rejection Based on Cost-sensitive Classification
    • [stat.ML]Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes
    • [stat.ML]Geometry-Aware Hamiltonian Variational Auto-Encoder
    • [stat.ML]Model identification and local linear convergence of coordinate descent
    • [stat.ML]Model updating after interventions paradoxically introduces bias
    • [stat.ML]Network topology change-point detection from graph signals with prior spectral signatures
    • [stat.ML]Precise Statistical Analysis of Classification Accuracies for Adversarial Training
    • [stat.ML]Random Coordinate Underdamped Langevin Monte Carlo
    • [stat.ML]Random Coordinate Underdamped Langevin Monte Carlo
    • [stat.ML]Sharp Bias-variance Tradeoffs of Hard Parameter Sharing in High-dimensional Linear Regression
    • [stat.ML]Spike and slab variational Bayes for high dimensional logistic regression
    • [stat.ML]The Role of Mutual Information in Variational Classifiers

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    • [astro-ph.IM]Anomaly Detection for Multivariate Time Series of Exotic Supernovae
    V. Ashley Villar, Miles Cranmer, Gabriella Contardo, Shirley Ho, Joshua Yao-Yu Lin
    http://arxiv.org/abs/2010.11194v1

    • [cond-mat.mtrl-sci]Validation of non-negative matrix factorization for assessment of atomic pair-distribution function (PDF) data in a real-time streaming context
    Chia-Hao Liu, Christopher J. Wright, Ran Gu, Sasaank Bandi, Allison Wustrow, Paul K. Todd, Daniel O’Nolan, Michelle L. Beauvais, James R. Neilson, Peter J. Chupas, Karena W. Chapman, Simon J. L. Billinge
    http://arxiv.org/abs/2010.11807v1

    • [cs.AI]A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach
    Betania S. C. Campello, Leonardo T. Duarte, João M. T. Romano
    http://arxiv.org/abs/2010.11720v1

    • [cs.AI]Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
    Hongyu Ren, Jure Leskovec
    http://arxiv.org/abs/2010.11465v1

    • [cs.AI]Computing Diverse Sets of Solutions for Monotone Submodular Optimisation Problems
    Aneta Neumann, Jakob Bossek, Frank Neumann
    http://arxiv.org/abs/2010.11486v1

    • [cs.AI]Conformance Checking for a Medical Training Process Using Petri net Simulation and Sequence Alignment
    An Nguyen, Wenyu Zhang, Leo Schwinn, Bjoern Eskofier
    http://arxiv.org/abs/2010.11719v1

    • [cs.AI]Exploring search space trees using an adapted version of Monte Carlo tree search for a combinatorial optimization problem
    Jorik Jooken, Pieter Leyman, Patrick De Causmaecker, Tony Wauters
    http://arxiv.org/abs/2010.11523v1

    • [cs.AI]Exponential Negation of a Probability Distribution
    Qinyuan Wu, Yong Deng
    http://arxiv.org/abs/2010.11533v1

    • [cs.AI]From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying
    Cristina Feier, Carsten Lutz, Frank Wolter
    http://arxiv.org/abs/2010.11848v1

    • [cs.AI]Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling
    Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi
    http://arxiv.org/abs/2010.11401v1

    • [cs.AI]Meta-trained agents implement Bayes-optimal agents
    Vladimir Mikulik, Grégoire Delétang, Tom McGrath, Tim Genewein, Miljan Martic, Shane Legg, Pedro A. Ortega
    http://arxiv.org/abs/2010.11223v1

    • [cs.AI]Multi-Radar Tracking Optimization for Collaborative Combat
    Nouredine Nour, Reda Belhaj-Soullami, Cédric Buron, Alain Peres, Frédéric Barbaresco
    http://arxiv.org/abs/2010.11733v1

    • [cs.AI]Multi-agent active perception with prediction rewards
    Mikko Lauri, Frans A. Oliehoek
    http://arxiv.org/abs/2010.11835v1

    • [cs.AI]Neural-Symbolic Integration: A Compositional Perspective
    Efthymia Tsamoura, Loizos Michael
    http://arxiv.org/abs/2010.11926v1

    • [cs.AI]Planning with Submodular Objective Functions
    Ruosong Wang, Hanrui Zhang, Devendra Singh Chaplot, Denis Garagić, Ruslan Salakhutdinov
    http://arxiv.org/abs/2010.11863v1

    • [cs.CL]A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
    Gabriele Pergola, Lin Gui, Yulan He
    http://arxiv.org/abs/2010.11384v1

    • [cs.CL]A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks
    Yun Tang, Juan Pino, Changhan Wang, Xutai Ma, Dmitriy Genzel
    http://arxiv.org/abs/2010.11338v1

    • [cs.CL]A Technical Report: BUT Speech Translation Systems
    Hari Krishna Vydana, Lukas Burget, Jan Cernocky
    http://arxiv.org/abs/2010.11593v1

    • [cs.CL]AI-lead Court Debate Case Investigation
    Changzhen Ji, Conghui Zhu, Tiejun Zhao
    http://arxiv.org/abs/2010.11604v1

    • [cs.CL]An Analysis of Simple Data Augmentation for Named Entity Recognition
    Xiang Dai, Heike Adel
    http://arxiv.org/abs/2010.11683v1

    • [cs.CL]An Industry Evaluation of Embedding-based Entity Alignment
    Ziheng Zhang, Jiaoyan Chen, Xi Chen, Hualuo Liu, Yuejia Xiang, Bo Liu, Yefeng Zheng
    http://arxiv.org/abs/2010.11522v1

    • [cs.CL]Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models
    Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley
    http://arxiv.org/abs/2010.11562v1

    • [cs.CL]CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20
    Ivana Kvapilíková, Tom Kocmi, Ondřej Bojar
    http://arxiv.org/abs/2010.11747v1

    • [cs.CL]Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
    Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
    http://arxiv.org/abs/2010.11506v1

    • [cs.CL]Challenges in Information Seeking QA:Unanswerable Questions and Paragraph Retrieval
    Akari Asai, Eunsol Choi
    http://arxiv.org/abs/2010.11915v1

    • [cs.CL]Clustering-based Inference for Zero-Shot Biomedical Entity Linking
    Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum
    http://arxiv.org/abs/2010.11253v1

    • [cs.CL]Compositional Generalization via Semantic Tagging
    Hao Zheng, Mirella Lapata
    http://arxiv.org/abs/2010.11818v1

    • [cs.CL]ConVEx: Data-Efficient and Few-Shot Slot Labeling
    Matthew Henderson, Ivan Vulić
    http://arxiv.org/abs/2010.11791v1

    • [cs.CL]Cross Copy Network for Dialogue Generation
    Changzhen Ji, Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Conghui Zhu, Tiejun Zhao
    http://arxiv.org/abs/2010.11539v1

    • [cs.CL]Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data
    Michael L. Wick, Kate Silverstein, Jean-Baptiste Tristan, Adam Pocock, Mark Johnson
    http://arxiv.org/abs/2010.11855v1

    • [cs.CL]Detection of COVID-19 informative tweets using RoBERTa
    Sirigireddy Dhanalaxmi, Rohit Agarwal, Aman Sinha
    http://arxiv.org/abs/2010.11238v1

    • [cs.CL]Developing Real-time Streaming Transformer Transducer for Speech Recognition on Large-scale Dataset
    Xie Chen, Yu Wu, Zhenghao Wang, Shujie Liu, Jinyu Li
    http://arxiv.org/abs/2010.11395v1

    • [cs.CL]Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
    Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang
    http://arxiv.org/abs/2010.11304v1

    • [cs.CL]EIGEN: Event Influence GENeration using Pre-trained Language Models
    Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard Hovy, Shrimai Prabhumoye
    http://arxiv.org/abs/2010.11764v1

    • [cs.CL]Exploit Multiple Reference Graphs for Semi-supervised Relation Extraction
    Wanli Li, Tieyun Qian
    http://arxiv.org/abs/2010.11383v1

    • [cs.CL]Improving BERT Performance for Aspect-Based Sentiment Analysis
    Akbar Karimi, Leonardo Rossi, Andrea Prati
    http://arxiv.org/abs/2010.11731v1

    • [cs.CL]Improving Simultaneous Translation with Pseudo References
    Junkun Chen, Renjie Zheng, Atsuhito Kita, Mingbo Ma, Liang Huang
    http://arxiv.org/abs/2010.11247v1

    • [cs.CL]Incorporating Stylistic Lexical Preferences in Generative Language Models
    Hrituraj Singh, Gaurav Verma, Balaji Vasan Srinivasan
    http://arxiv.org/abs/2010.11553v1

    • [cs.CL]Investigating the True Performance of Transformers in Low-Resource Languages: A Case Study in Automatic Corpus Creation
    Jan Christian Blaise Cruz, Jose Kristian Resabal, James Lin, Dan John Velasco, Charibeth Cheng
    http://arxiv.org/abs/2010.11574v1

    • [cs.CL]Knowledge Distillation for BERT Unsupervised Domain Adaptation
    Minho Ryu, Kichun Lee
    http://arxiv.org/abs/2010.11478v1

    • [cs.CL]Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses
    George Boateng
    http://arxiv.org/abs/2010.11387v1

    • [cs.CL]LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition
    Xie Chen, Sarangarajan Parthasarathy, William Gale, Shuangyu Chang, Michael Zeng
    http://arxiv.org/abs/2010.11349v1

    • [cs.CL]Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures
    M. Li, H. Bai, L. Tan, K. Xiong, M. Li, J. Lin
    http://arxiv.org/abs/2010.11351v1

    • [cs.CL]Learning to Summarize Long Texts with Memory Compression and Transfer
    Jaehong Park, Jonathan Pilault, Christopher Pal
    http://arxiv.org/abs/2010.11322v1

    • [cs.CL]Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas
    Yogarshi Vyas, Miguel Ballesteros
    http://arxiv.org/abs/2010.11333v1

    • [cs.CL]MAM: Masked Acoustic Modeling for End-to-End Speech-to-T
    5000
    ext Translation
    Junkun Chen, Mingbo Ma, Renjie Zheng, Liang Huang
    http://arxiv.org/abs/2010.11445v1

    • [cs.CL]Method of noun phrase detection in Ukrainian texts
    S. D. Pogorilyy, A. A. Kramov
    http://arxiv.org/abs/2010.11548v1

    • [cs.CL]Multi-dimensional Style Transfer for Partially Annotated Data using Language Models as Discriminators
    Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu N, Abhilasha Sancheti
    http://arxiv.org/abs/2010.11578v1

    • [cs.CL]NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task
    Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor, Nizar Habash
    http://arxiv.org/abs/2010.11334v1

    • [cs.CL]Not all parameters are born equal: Attention is mostly what you need
    Nikolay Bogoychev
    http://arxiv.org/abs/2010.11859v1

    • [cs.CL]On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition
    Christophe Cerisara, Pavel Kral, Ladislav Lenc
    http://arxiv.org/abs/2010.11490v1

    • [cs.CL]On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries
    Tianze Shi, Chen Zhao, Jordan Boyd-Graber, Hal Daumé III, Lillian Lee
    http://arxiv.org/abs/2010.11246v1

    • [cs.CL]Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction
    Rui Feng, Jie Yuan, Chao Zhang
    http://arxiv.org/abs/2010.11325v1

    • [cs.CL]Reducing Unintended Identity Bias in Russian Hate Speech Detection
    Nadezhda Zueva, Madina Kabirova, Pavel Kalaidin
    http://arxiv.org/abs/2010.11666v1

    • [cs.CL]Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers
    Lei Xu, Ivan Ramirez, Kalyan Veeramachaneni
    http://arxiv.org/abs/2010.11869v1

    • [cs.CL]STAR: A Schema-Guided Dialog Dataset for Transfer Learning
    Johannes E. M. Mosig, Shikib Mehri, Thomas Kober
    http://arxiv.org/abs/2010.11853v1

    • [cs.CL]Scientific Claim Verification with VERT5ERINI
    Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin
    http://arxiv.org/abs/2010.11930v1

    • [cs.CL]Self-alignment Pre-training for Biomedical Entity Representations
    Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier
    http://arxiv.org/abs/2010.11784v1

    • [cs.CL]Stronger Transformers for Neural Multi-Hop Question Generation
    Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William Hamilton
    http://arxiv.org/abs/2010.11374v1

    • [cs.CL]Towards Fully Bilingual Deep Language Modeling
    Li-Hsin Chang, Sampo Pyysalo, Jenna Kanerva, Filip Ginter
    http://arxiv.org/abs/2010.11639v1

    • [cs.CL]UniCase — Rethinking Casing in Language Models
    Rafal Powalski, Tomasz Stanislawek
    http://arxiv.org/abs/2010.11936v1

    • [cs.CL]XOR QA: Cross-lingual Open-Retrieval Question Answering
    Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi
    http://arxiv.org/abs/2010.11856v1

    • [cs.CL]mT5: A massively multilingual pre-trained text-to-text transformer
    Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, Colin Raffel
    http://arxiv.org/abs/2010.11934v1

    • [cs.CL]slimIPL: Language-Model-Free Iterative Pseudo-Labeling
    Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert
    http://arxiv.org/abs/2010.11524v1

    • [cs.CR]Backdoor Attack against Speaker Verification
    Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia
    http://arxiv.org/abs/2010.11607v1

    • [cs.CR]CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU
    Bo Feng, Qian Lou, Lei Jiang, Geoffrey C. Fox
    http://arxiv.org/abs/2010.11796v1

    • [cs.CR]Learning Black-Box Attackers with Transferable Priors and Query Feedback
    Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang, Bingbing Ni, Chenglong Zhao
    http://arxiv.org/abs/2010.11742v1

    • [cs.CR]Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic
    Ayush Kumar, Mrinalini Shridhar, Sahithya Swaminathan, Teng Joon Lim
    http://arxiv.org/abs/2010.11453v1

    • [cs.CR]Malware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline
    Syed Muhammad Kumail Raza, Juan Caballero
    http://arxiv.org/abs/2010.11627v1

    • [cs.CV]3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds
    Lingjing Wang, Yu Hao, Xiang Li, Yi Fang
    http://arxiv.org/abs/2010.11504v1

    • [cs.CV]AEGIS: A real-time multimodal
    1000
    augmented reality computer vision based system to assist facial expression recognition for individuals with autism spectrum disorder
    James Ren Hou Lee, Alexander Wong
    http://arxiv.org/abs/2010.11884v1

    • [cs.CV]An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
    Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
    http://arxiv.org/abs/2010.11929v1

    • [cs.CV]An explainable deep vision system for animal classification and detection in trail-camera images with automatic post-deployment retraining
    Golnaz Moallem, Don Pathirage, Joel Reznick, James Gallagher, Hamed Sari-Sarraf
    http://arxiv.org/abs/2010.11472v1

    • [cs.CV]Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection
    Ehsan Emad Marvasti, Arash Raftari, Amir Emad Marvasti, Yaser P. Fallah
    http://arxiv.org/abs/2010.11353v1

    • [cs.CV]Blind Video Temporal Consistency via Deep Video Prior
    Chenyang Lei, Yazhou Xing, Qifeng Chen
    http://arxiv.org/abs/2010.11838v1

    • [cs.CV]Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos
    Zhengxia Zou
    http://arxiv.org/abs/2010.11800v1

    • [cs.CV]Convolutional Autoencoders for Human Motion Infilling
    Manuel Kaufmann, Emre Aksan, Jie Song, Fabrizio Pece, Remo Ziegler, Otmar Hilliges
    http://arxiv.org/abs/2010.11531v1

    • [cs.CV]Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
    Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogerio Feris, John Cohn, Aude Oliva, Quanfu Fan
    http://arxiv.org/abs/2010.11757v1

    • [cs.CV]Efficient Scale-Permuted Backbone with Learned Resource Distribution
    Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc Le, Xiaodan Song
    http://arxiv.org/abs/2010.11426v1

    • [cs.CV]F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking
    Hao Zou, Jinhao Cui, Xin Kong, Chujuan Zhang, Yong Liu, Feng Wen, Wanlong Li
    http://arxiv.org/abs/2010.11510v1

    • [cs.CV]Face Hallucination Using Split-Attention in Split-Attention Network
    Yuanzhi Wang, Tao Lu, Yu Wang, Yanduo Zhang
    http://arxiv.org/abs/2010.11575v1

    • [cs.CV]FasterRCNN Monitoring of Road Damages: Competition and Deployment
    Hascoet Tristan, Yihao Zhang, Persch Andreas, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki
    http://arxiv.org/abs/2010.11780v1

    • [cs.CV]Few-Shot Adaptation of Generative Adversarial Networks
    Esther Robb, Wen-Sheng Chu, Abhishek Kumar, Jia-Bin Huang
    http://arxiv.org/abs/2010.11943v1

    • [cs.CV]Fine-tuned Pre-trained Mask R-CNN Models for Surface Object Detection
    Haruhiro Fujita, Masatoshi Itagaki, Kenta Ichikawa, Yew Kwang Hooi, Kazutaka Kawano, Ryo Yamamoto
    http://arxiv.org/abs/2010.11464v1

    • [cs.CV]Fingerprint Orientation Estimation: Challenges and Opportunities
    Amit Kumar Trivedi
    http://arxiv.org/abs/2010.11563v1

    • [cs.CV]GAN based Unsupervised Segmentation: Should We Match the Exact Number of Objects
    Quan Liu, Isabella M. Gaeta, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo
    http://arxiv.org/abs/2010.11438v1

    • [cs.CV]GAZED- Gaze-guided Cinematic Editing of Wide-Angle Monocular Video Recordings
    K L Bhanu Moorthy, Moneish Kumar, Ramanathan Subramaniam, Vineet Gandhi
    http://arxiv.org/abs/2010.11886v1

    • [cs.CV]High resolution weakly supervised localization architectures for medical images
    Konpat Preechakul, Sira Sriswasdi, Boonserm Kijsirikul, Ekapol Chuangsuwanich
    http://arxiv.org/abs/2010.11475v1

    • [cs.CV]Identification of deep breath while moving forward based on multiple body regions and graph signal analysis
    Yunlu Wang, Cheng Yang, Menghan Hu, Jian Zhang, Qingli Li, Guangtao Zhai, Xiao-Ping Zhang
    http://arxiv.org/abs/2010.11734v1

    • [cs.CV]L-RED: Efficient Post-Training Detection of Imperceptible Backdoor Attacks without Access to the Training Set
    Zhen Xiang, David J. Miller, George Kesidis
    http://arxiv.org/abs/2010.09987v2

    • [cs.CV]Learning Dual Semantic Relations with Graph Attention for Image-Text Matching
    Keyu Wen, Xiaodong Gu, Qingrong Cheng
    http://arxiv.org/abs/2010.11550v1

    • [cs.CV]Learning Graph-Based Priors for Generalized Zero-Shot Learning
    Colin Samplawski, Jannik Wolff, Tassilo Klein, Moin Nabi
    http://arxiv.org/abs/2010.11369v1

    • [cs.CV]Learning Loss for Test-Time Augmentation
    Ildoo Kim, Younghoon Kim, Sungwoong Kim
    http://arxiv.org/abs/2010.11422v1

    • [cs.CV]Learning Occupancy Function from Point Clouds for Surface Reconstruction
    Meng Jia, Matthew Kyan
    http://arxiv.org/abs/2010.11378v1

    • [cs.CV]Learning to Sort Image Sequences via Accumulated Temporal Differences
    Gagan Kanojia, Shanmuganathan Raman
    http://arxiv.org/abs/2010.11649v1

    • [cs.CV]Neural Star Domain as Primitive Representation
    Yuki Kawana, Yusuke Mukuta, Tatsuya Harada
    http://arxiv.org/abs/2010.11248v1

    • [cs.CV]Novel View Synthesis from only a 6-DoF Camera Pose by Two-stage Networks
    Xiang Guo, Bo Li, Yuchao Dai, Tongxin Zhang, Hui Deng
    http://arxiv.org/abs/2010.11468v1

    • [cs.CV]On Benchmarking Iris Recognition within a Head-mounted Display for AR/VR Application
    Fadi Boutros, Naser Damer, Kiran Raja, Raghavendra Ramachandra, Florian Kirchbuchner, Arjan Kuijper
    http://arxiv.org/abs/2010.11700v1

    • [cs.CV]Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free
    Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang
    http://arxiv.org/abs/2010.11828v1

    • [cs.CV]Performance Prediction for Convolutional Neural Networks in Edge Devices
    Halima Bouzidi, Hamza Ouarnoughi, Smail Niar, Abdessamad Ait El Cadi
    http://arxiv.org/abs/2010.11297v1

    • [cs.CV]QISTA-Net: DNN Architecture to Solve $\ell_q$-norm Minimization Problem and Image Compressed Sensing
    Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu
    http://arxiv.org/abs/2010.11363v1

    • [cs.CV]Restoring Negative Information in Few-Shot Object Detection
    Yukuan Yang, Fangyu Wei, Miaojing Shi, Guoqi Li
    http://arxiv.org/abs/2010.11714v1

    • [cs.CV]Self-Supervised Learning of Part Mobility from Point Cloud Sequence
    Yahao Shi, Xinyu Cao, Bin Zhou
    http://arxiv.org/abs/2010.11735v1

    • [cs.CV]Self-Supervised Shadow Removal
    Florin-Alexandru Vasluianu, Andres Romero, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2010.11619v1

    • [cs.CV]Shedding Light on Blind Spots: Developing a Reference Architecture to Leverage Video Data for Process Mining
    Wolfgang Kratsch, Fabian König, Maximilian Röglinger
    http://arxiv.org/abs/2010.11289v1

    • [cs.CV]Spatio-temporal Features for Generalized Detection of Deepfake Videos
    Ipek Ganiyusufoglu, L. Minh Ngô, Nedko Savov, Sezer Karaoglu, Theo Gevers
    http://arxiv.org/abs/2010.11844v1

    • [cs.CV]TLGAN: document Text Localization using Generative Adversarial Nets
    Dongyoung Kim, Myungsung Kwak, Eunji Won, Sejung Shin, Jeongyeon Nam
    http://arxiv.org/abs/2010.11547v1

    • [cs.CV]Task-Adaptive Feature Transformer for Few-Shot Segmentation
    Jun Seo, Young-Hyun Park, Sung-Whan Yoon, Jaekyun Moon
    http://arxiv.org/abs/2010.11437v1

    • [cs.CV]Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
    Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Junsong Yuan, Gang Hua
    http://arxiv.org/abs/2010.11594v1

    • [cs.CV]Unrolling of Deep Graph Total Variation for Image Denoising
    Huy Vu, Gene Cheung, Yonina C. Eldar
    http://arxiv.org/abs/2010.11290v1

    • [cs.CV]Voronoi Convolutional Neural Networks
    Soroosh Yazdani, Andrea Tagliasacchi
    http://arxiv.org/abs/2010.11339v1

    • [cs.CY]Pseudoscientific Content on YouTube: Assessing the Effects of Watch History on the Recommendation Algorithm
    Kostantinos Papadamou, Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Michael Sirivianos
    http://arxiv.org/abs/2010.11638v1

    • [cs.CY]Second layer data governance for permissioned blockchains: the privacy management challenge
    Paulo Henrique Alves, Isabella Z. Frajhof, Fernando A. Correia, Clarisse de Souza, Helio Lopes
    http://arxiv.org/abs/2010.11677v1

    • [cs.CY]Understanding the drivers of sustainable land expansion using a patch-level simulation model: A case study in Wuhan, China
    Xun Liang, Qingfeng Guan, Keith C. Clarke, Shishi Liu, Bingyu Wang, Yao Yao
    http://arxiv.org/abs/2010.11541v1

    • [cs.CY]Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation
    Hong Shen, Wesley Deng, Aditi Chattopadhyay, Steven Wu, Xu Wang, Haiyi Zhu
    http://arxiv.org/abs/2010.11411v1

    • [cs.DB]Cluster-and-Conquer: When Randomness Meets Graph Locality
    George Giakkoupis, Anne-Marie Kermarrec, Olivier Ruas, François Taïani
    http://arxiv.org/abs/2010.11497v1

    • [cs.DC]Coded Data Rebalancing for Decentralized Distributed Databases
    K V Sushena Sree, Prasad Krishnan
    http://arxiv.org/abs/2010.11935v1

    • [cs.DC]Fast-HotStuff: A Fast and Resilient HotStuff Protocol
    Mohammad M. Jalalzai, Jianyu Niu, Chen Feng
    http://arxiv.org/abs/2010.11454v1

    • [cs.DC]ParaLarH: Parallel FPGA Router based upon Lagrange Heuristics
    Rohit Agrawal, Kapil Ahuja, Dhaarna Maheshwari, Akash Kumar
    http://arxiv.org/abs/2010.11893v1

    • [cs.DC]Resource allocation for task-level speculative scientific applications: a proof of concept using Parallel Trajectory Splicing
    Andrew Garmon, Vinay Ramakrishnaiah, Danny Perez
    http://arxiv.org/abs/2010.11792v1

    • [cs.DC]Serverless Containers — rising viable approach to Scientific Workflows
    Krzysztof Burkat, Maciej Pawlik, Bartosz Balis, Maciej Malawski, Karan Vahi, Mats Rynge, Rafael Ferreira da Silva, Ewa Deelman
    http://arxiv.org/abs/2010.11320v1

    • [cs.DC]Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster
    Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao
    http://arxiv.org/abs/2010.11307v1

    • [cs.DS]Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time
    Kai Han, Zongmai Cao, Shuang Cui, Benwei Wu
    http://arxiv.org/abs/2010.11420v1

    • [cs.DS]The Polynomial Method is Universal for Distribution-Free Correlational SQ Learning
    Aravind Gollakota, Sushrut Karmalkar, Adam Klivans
    http://arxiv.org/abs/2010.11925v1

    • [cs.GR]SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform
    Cheng Lin, Lingjie Liu, Changjian Li, Leif Kobbelt, Bin Wang, Shiqing Xin, Wenping Wang
    http://arxiv.org/abs/2010.11488v1

    • [cs.IR]Basket Recommendation with Multi-Intent Translation Graph Neural Network
    Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, Philip S. Yu
    http://arxiv.org/abs/2010.11419v1

    • [cs.IR]Distilling Dense Representations for Ranking using Tightly-Coupled Teachers
    Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin
    http://arxiv.org/abs/2010.11386v1

    • [cs.IR]PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
    Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng
    http://arxiv.org/abs/2010.10137v2

    • [cs.IT]A Hybrid Approach to Coded Compressed Sensing where Coupling Takes Place via the Outer Code
    Jamison R. Ebert, Vamsi K. Amalladinne, Jean-Francois Chamberland, Krishna R. Narayanan
    http://arxiv.org/abs/2010.11380v1

    • [cs.IT]Energy-Efficient Node Deployment in Heterogeneous Two-Tier Wireless Sensor Networks with Limited Communication Range
    Saeed Karimi-Bidhendi, Jun Guo, Hamid Jafarkhani
    http://arxiv.org/abs/2010.11400v1

    • [cs.IT]Full-Duplex and Dynamic-TDD: Pushing the Limits of Spectrum Reuse in Multi-Cell Communications
    José Mairton B. da Silva Jr., Gustav Wikström, Ratheesh K. Mungara, Carlo Fischione
    http://arxiv.org/abs/2010.11317v1

    • [cs.IT]How wireless queues benefit from motion: an analysis of the continuum between zero and infinite mobility
    Nithin S. Ramesan, François Baccelli
    http://arxiv.org/abs/2010.11749v1

    • [cs.IT]Joint Power Allocation and User Association Optimization for IRS-Assisted mmWave Systems
    Dan Zhao, Hancheng Lu, Yazheng Wang, Huan Sun, Yongqiang Gui, Jun Wu
    http://arxiv.org/abs/2010.11713v1

    • [cs.IT]MRI Image Recovery using Damped Denoising Vector AMP
    Subrata Sarkar, Rizwan Ahmad, Philip Schniter
    http://arxiv.org/abs/2010.11321v1

    • [cs.IT]Performance Analysis and Optimization for the MAC Protocol in UAV-based IoT Network
    Bin Li, Xianzhen Guo, Ruonan Zhang, Xiaojiang Du, Mohsen Guizani
    http://arxiv.org/abs/2010.11623v1

    • [cs.IT]Symmetrical Z-Complementary Code Sets (SZCCSs) for Optimal Training in Generalized Spatial Modulation
    Yajing Zhou, Zhengchun Zhou, Zilong Liu, Yang Yang, Ping Yang
    http://arxiv.org/abs/2010.11372v1

    • [cs.LG]A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
    Leon Lang, Maurice Weiler
    http://arxiv.org/abs/2010.10952v2

    • [cs.LG]Accelerating Reinforcement Learning with Learned Skill Priors
    Karl Pertsch, Youngwoon Lee, Joseph J. Lim
    http://arxiv.org/abs/2010.11944v1

    • [cs.LG]AdapterDrop: On the Efficiency of Adapters in Transformers
    Andreas Rücklé, Gregor Geigle, Max Glockner, Tilman Beck, Jonas Pfeiffer, Nils Reimers, Iryna Gurevych
    http://arxiv.org/abs/2010.11918v1

    • [cs.LG]Adversarial Attacks on Binary Image Recognition Systems
    Eric Balkanski, Harrison Chase, Kojin Oshiba, Alexander Rilee, Yaron Singer, Richard Wang
    http://arxiv.org/abs/2010.11782v1

    • [cs.LG]Adversarial Attacks on Deep Algorithmic Trading Policies
    Yaser Faghan, Nancirose Piazza, Vahid Behzadan, Ali Fathi
    http://arxiv.org/abs/2010.11388v1

    • [cs.LG]An Efficient Adversarial Attack for Tree Ensembles
    Chong Zhang, Huan Zhang, Cho-Jui Hsieh
    http://arxiv.org/abs/2010.11598v1

    • [cs.LG]Asynchronous Edge Learning using Cloned Knowledge Distillation
    Sang-ho Lee, Kiyoon Yoo, Nojun Kwak
    http://arxiv.org/abs/2010.10338v2

    • [cs.LG]Autoregressive Modeling is Misspecified for Some Sequence Distributions
    Chu-Cheng Lin, Aaron Jaech, Xin Li, Matt Gormley, Jason Eisner
    http://arxiv.org/abs/2010.11939v1

    • [cs.LG]CoinDICE: Off-Policy Confidence Interval Estimation
    Bo Dai, Ofir Nachum, Yinlam Chow, Lihong Li, Csaba Szepesvári, Dale Schuurmans
    http://arxiv.org/abs/2010.11652v1

    • [cs.LG]Continual Learning in Low-rank Orthogonal Subspaces
    Arslan Chaudhry, Naeemullah Khan, Puneet K. Dokania, Philip H. S. Torr
    http://arxiv.org/abs/2010.11635v1

    • [cs.LG]Convex Polytope Trees
    Mohammadreza Armandpour, Mingyuan Zhou
    http://arxiv.org/abs/2010.11266v1

    • [cs.LG]DPD-InfoGAN: Differentially Private Distributed InfoGAN
    Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov
    http://arxiv.org/abs/2010.11398v1

    • [cs.LG]Deep Learning is Singular, and That’s Good
    Daniel Murfet, Susan Wei, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella
    http://arxiv.org/abs/2010.11560v1

    • [cs.LG]Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
    Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
    http://arxiv.org/abs/2010.11655v1

    • [cs.LG]Deep Surrogate Q-Learning for Autonomous Driving
    Maria Huegle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
    http://arxiv.org/abs/2010.11278v1

    • [cs.LG]Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modeling
    James Lu, Brendan Bender, Jin Y. Jin, Yuanfang Guan
    http://arxiv.org/abs/2010.11769v1

    • [cs.LG]Defense-guided Transferable Adversarial Attacks
    Zifei Zhang, Kai Qiao, Jian Chen
    http://arxiv.org/abs/2010.11535v1

    • [cs.LG]Density of States Graph Kernels
    Leo Huang, Andrew Graven, David Bindel
    http://arxiv.org/abs/2010.11341v1

    • [cs.LG]Differentially-Private Federated Linear Bandits
    Abhimanyu Dubey, Alex Pentland
    http://arxiv.org/abs/2010.11425v1

    • [cs.LG]Drift Detection in Episodic Data: Detect When Your Agent Starts Faltering
    Ido Greenberg, Shie Mannor
    http://arxiv.org/abs/2010.11660v1

    • [cs.LG]Efficient robust optimal transport: formulations and algorithms
    Pratik Jawanpuria, N T V Satya Dev, Bamdev Mishra
    http://arxiv.org/abs/2010.11852v1

    • [cs.LG]Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
    Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian Goodfellow, Percy Liang, Pushmeet Kohli
    http://arxiv.org/abs/2010.11645v1

    • [cs.LG]Error Bounds of Imitating Policies and Environments
    Tian Xu, Ziniu Li, Yang Yu
    http://arxiv.org/abs/2010.11876v1

    • [cs.LG]Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime
    Andrea Agazzi, Jianfeng Lu
    http://arxiv.org/abs/2010.11858v1

    • [cs.LG]Graph Neural Network for Large-Scale Network Localization
    Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin
    http://arxiv.org/abs/2010.11653v1

    • [cs.LG]Hierarchical Federated Learning through LAN-WAN Orchestration
    Jinliang Yuan, Mengwei Xu, Xiao Ma, Ao Zhou, Xuanzhe Liu, Shangguang Wang
    http://arxiv.org/abs/2010.11612v1

    • [cs.LG]How Do Fair Decisions Fare in Long-term Qualification?
    Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang
    http://arxiv.org/abs/2010.11300v1

    • [cs.LG]In Search of Robust Measures of Generalization
    Gintare Karolina Dziugaite, Alexandre Drouin, Brady Neal, Nitarshan Rajkumar, Ethan Caballero, Linbo Wang, Ioannis Mitliagkas, Daniel M. Roy
    http://arxiv.org/abs/2010.11924v1

    • [cs.LG]Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
    Shuxiao Chen, Hangfeng He, Weijie J. Su
    http://arxiv.org/abs/2010.11775v1

    • [cs.LG]Learning Augmented Energy Minimization via Speed Scaling
    Étienne Bamas, Andreas Maggiori, Lars Rohwedder, Ola Svensson
    http://arxiv.org/abs/2010.11629v1

    • [cs.LG]Learning Graph Laplacian with MCP
    Yangjing Zhang, Kim-Chuan Toh, Defeng Sun
    http://arxiv.org/abs/2010.11559v1

    • [cs.LG]Learning Invariances in Neural Networks
    Gregory Benton, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
    http://arxiv.org/abs/2010.11882v1

    • [cs.LG]Maximum Mean Discrepancy is Aware of Adversarial Attacks
    Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama
    http://arxiv.org/abs/2010.11415v1

    • [cs.LG]Metapath- and Entity-aware Graph Neural Network for Recommendation
    Zhiwei Han, Muhammad Umer Anwaar, Shyam Arumugaswamy, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber
    http://arxiv.org/abs/2010.11793v1

    • [cs.LG]MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers
    Colby Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakkar, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough
    http://arxiv.org/abs/2010.11267v1

    • [cs.LG]MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery
    Xiaoxiao Li, Yangsibo Huang, Binghui Peng, Zhao Song, Kai Li
    http://arxiv.org/abs/2010.11463v1

    • [cs.LG]Mixed-Precision Embedding Using a Cache
    Jie, Yang, Jianyu Huang, Jongsoo Park, Ping Tak Peter Tang, Andrew Tulloch
    http://arxiv.org/abs/2010.11305v1

    • [cs.LG]Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction
    Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu
    http://arxiv.org/abs/2010.11711v1

    • [cs.LG]N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations
    Aaron Baier-Reinio, Hans De Sterck
    http://arxiv.org/abs/2010.11358v1

    • [cs.LG]Nonvacuous Loss Bounds with Fast Rates for Neural Networks via Conditional Information Measures
    Fredrik Hellström, Giuseppe Durisi
    http://arxiv.org/abs/2010.11552v1

    • [cs.LG]Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data
    Dmitry I. Ignatov, Gennady V. Khvorykh, Andrey V. Khrunin, Stefan Nikolić, Makhmud Shaban, Elizaveta A. Petrova, Evgeniya A. Koltsova, Fouzi Takelait, Dmitrii Egurnov
    http://arxiv.org/abs/2010.11641v1

    • [cs.LG]On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks
    Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf
    http://arxiv.org/abs/2010.11773v1

    • [cs.LG]On a Guided Nonnegative Matrix Factorization
    Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell
    http://arxiv.org/abs/2010.11365v1

    • [cs.LG]On the Power of Deep but Naive Partial Label Learning
    Junghoon Seo, Joon Suk Huh
    http://arxiv.org/abs/2010.11600v1

    • [cs.LG]One-shot Distributed Algorithm for Generalized Eigenvalue Problem
    Kexin Lv, Fan He, Xiaolin Huang, Jie Yang, Liming Chen
    http://arxiv.org/abs/2010.11625v1

    • [cs.LG]Online Structured Meta-learning
    Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong
    http://arxiv.org/abs/2010.11545v1

    • [cs.LG]Optimal Approximation — Smoothness Tradeoffs for Soft-Max Functions
    Alessandro Epasto, Mohammad Mahdian, Vahab Mirrokni, Manolis Zampetakis
    http://arxiv.org/abs/2010.11450v1

    • [cs.LG]Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
    Alexander Wei, Fred Zhang
    http://arxiv.org/abs/2010.11443v1

    • [cs.LG]Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning
    Shen Ren, Qianxiao Li, Liye Zhang, Zheng Qin, Bo Yang
    http://arxiv.org/abs/2010.11738v1

    • [cs.LG]PHEW: Paths with higher edge-weights give “winning tickets” without training data
    Shreyas Malakarjun Patil, Constantine Dovrolis
    http://arxiv.org/abs/2010.11354v1

    • [cs.LG]Pool-based sequential active learning with multi kernels
    Jeongmin Chae, Songnam Hong
    http://arxiv.org/abs/2010.11421v1

    • [cs.LG]Posterior Re-calibration for Imbalanced Datasets
    Junjiao Tian, Yen-Cheng Liu, Nathan Glaser, Yen-Chang Hsu, Zsolt Kira
    http://arxiv.org/abs/2010.11820v1

    • [cs.LG]Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks
    Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi
    http://arxiv.org/abs/2010.11413v1

    • [cs.LG]Prediction of Rainfall in Rajasthan, India using Deep and Wide Neural Network
    Vikas Bajpai, Anukriti Bansal, Kshitiz Verma, Sanjay Agarwal
    http://arxiv.org/abs/2010.11787v1

    • [cs.LG]Probabilistic Circuits for Variational Inference in Discrete Graphical Models
    Andy Shih, Stefano Ermon
    http://arxiv.org/abs/2010.11446v1

    • [cs.LG]Quantile Bandits for Best Arms Identification with Concentration Inequalities
    Mengyan Zhang, Cheng Soon Ong
    http://arxiv.org/abs/2010.11568v1

    • [cs.LG]Quaternion-Valued Variational Autoencoder
    Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini
    http://arxiv.org/abs/2010.11647v1

    • [cs.LG]Quiver Signal Processing (QSP)
    Alejandro Parada-Mayorga, Hans Riess, Alejandro Ribeiro, Robert Ghrist
    http://arxiv.org/abs/2010.11525v1

    • [cs.LG]Rethinking Evaluation in ASR: Are Our Models Robust Enough?
    Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve
    http://arxiv.org/abs/2010.11745v1

    • [cs.LG]Rethinking pooling in graph neural networks
    Diego Mesquita, Amauri H. Souza, Samuel Kaski
    http://arxiv.org/abs/2010.11418v1

    • [cs.LG]Robust Low-tubal-rank Tensor Completion based on Tensor Factorization and Maximum Correntopy Criterion
    Yicong He, George K. Atia
    http://arxiv.org/abs/2010.11740v1

    • [cs.LG]Sample Efficient Reinforcement Learning with REINFORCE
    Junzi Zhang, Jongho Kim, Brendan O’Donoghue, Stephen Boyd
    http://arxiv.org/abs/2010.11364v1

    • [cs.LG]Scalable Bottom-Up Hierarchical Clustering
    Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gokhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
    http://arxiv.org/abs/2010.11821v1

    • [cs.LG]Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents
    Mohammad Kachuee, Hao Yuan, Young-Bum Kim, Sungjin Lee
    http://arxiv.org/abs/2010.11230v1

    • [cs.LG]Self-training and Pre-training are Complementary for Speech Recognition
    Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli
    http://arxiv.org/abs/2010.11430v1

    • [cs.LG]Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
    Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Tat-Seng Chua
    http://arxiv.org/abs/2010.11797v1

    • [cs.LG]Stability of Algebraic Neural Networks to Small Perturbations
    Alejandro Parada-Mayorga, Alejandro Ribeiro
    http://arxiv.org/abs/2010.11544v1

    • [cs.LG]The Primal-Dual method for Learning Augmented Algorithms
    Étienne Bamas, Andreas Maggiori, Ola Svensson
    http://arxiv.org/abs/2010.11632v1

    • [cs.LG]The Role of Machine Learning for Trajectory Prediction in Cooperative Driving
    Luis Sequeira, Toktam Mahmoodi
    http://arxiv.org/abs/2010.11743v1

    • [cs.LG]Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
    Shenhao Wang, Baichuan Mo, Jinhua Zhao
    http://arxiv.org/abs/2010.11644v1

    • [cs.LG]Trajectory Prediction using Equivariant Continuous Convolution
    Robin Walters, Jinxi Li, Rose Yu
    http://arxiv.org/abs/2010.11344v1

    • [cs.LG]UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
    Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao
    http://arxiv.org/abs/2010.11389v1

    • [cs.LG]What are the Statistical Limits of Offline RL with Linear Function Approximation?
    Ruosong Wang, Dean P. Foster, Sham M. Kakade
    http://arxiv.org/abs/2010.11895v1

    • [cs.LO]Containment in Monadic Disjunctive Datalog, MMSNP, and Expressive Description Logics
    Pierre Bourhis, Carsten Lutz
    http://arxiv.org/abs/2010.11842v1

    • [cs.LO]On Finite and Unrestricted Query Entailment beyond SQ with Number Restrictions on Transitive Roles
    Thomas Gogacz, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung, Filip Murlak
    http://arxiv.org/abs/2010.11503v1

    • [cs.NE]Brain-Inspired Learning on Neuromorphic Substrates
    Friedemann Zenke, Emre O. Neftci
    http://arxiv.org/abs/2010.11931v1

    • [cs.NE]Logic Guided Genetic Algorithms
    Dhananjay Ashok, Joseph Scott, Sebastian Wetzel, Maysum Panju, Vijay Ganesh
    http://arxiv.org/abs/2010.11328v1

    • [cs.PL]Conditional independence by typing
    Maria I. Gorinova, Andrew D. Gordon, Charles Sutton, Matthijs Vakar
    http://arxiv.org/abs/2010.11887v1

    • [cs.RO]A Novel Variable Stiffness Soft Robotic Gripper
    Dimuthu D. Arachchige, Yue Chen, Ian D. Walker, Isuru S. Godage
    http://arxiv.org/abs/2010.11473v1

    • [cs.RO]An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay
    Barbara Barros Carlos, Tommaso Sartor, Andrea Zanelli, Gianluca Frison, Wolfram Burgard, Moritz Diehl, Giuseppe Oriolo
    http://arxiv.org/abs/2010.11264v1

    • [cs.RO]Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
    Annie S. Chen, HyunJi Nam, Suraj Nair, Chelsea Finn
    http://arxiv.org/abs/2010.11917v1

    • [cs.RO]Bidirectional Microrocker Bots with Sharp Tips Actuated by a Single Electromagnet
    DeaGyu Kim, Tony Wang, Yifan Shi, Zhijian Hao, Azadeh Ansari
    http://arxiv.org/abs/2010.11295v1

    • [cs.RO]FUEL: Fast UAV Exploration using Incremental Frontier Structure and Hierarchical Planning
    Boyu Zhou, Yichen Zhang, Xinyi Chen, Shaojie Shen
    http://arxiv.org/abs/2010.11561v1

    • [cs.RO]Faithful Euclidean Distance Field from Log-Gaussian Process Implicit Surfaces
    Lan Wu, Ki Myung Brian Lee, Liyang Liu, Teresa Vidal-Calleja
    http://arxiv.org/abs/2010.11487v1

    • [cs.RO]Fast and Robust Bio-inspired Teach and Repeat Navigation
    Dominic Dall’Osto, Tobias Fischer, Michael Milford
    http://arxiv.org/abs/2010.11326v1

    • [cs.RO]Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty
    Bo Fu, William Smith, Denise Rizzo, Matthew Castanier, Kira Barton
    http://arxiv.org/abs/2010.11376v1

    • [cs.RO]Learning Quadrupedal Locomotion over Challenging Terrain
    Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter
    http://arxiv.org/abs/2010.11251v1

    • [cs.RO]Learning Spring Mass Locomotion: Guiding Policies with a Reduced-Order Model
    Kevin Green, Yesh Godse, Jeremy Dao, Ross L. Hatton, Alan Fern, Jonathan Hurst
    http://arxiv.org/abs/2010.11234v1

    • [cs.RO]Learning to Plan Optimally with Flow-based Motion Planner
    Tin Lai, Fabio Ramos
    http://arxiv.org/abs/2010.11323v1

    • [cs.RO]Minimal Exposure Dubins Orienteering Problem
    Douglas G. Macharet, Armando Alves Neto, Daigo Shishika
    http://arxiv.org/abs/2010.11932v1

    • [cs.RO]Modeling and Validation of Soft Robotic Snake Locomotion
    Dimuthu D. Arachchige, Yue Chen, Isuru S. Godage
    http://arxiv.org/abs/2010.11476v1

    • [cs.RO]Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
    Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert
    http://arxiv.org/abs/2010.11940v1

    • [cs.RO]NightOwl: Robotic Platform for Wheeled Service Robot
    Resha Dwika Hefni Al-Fahsi, Kevin Aldian Winanta, Fauzan Pradana, Igi Ardiyanto, Adha Imam Cahyadi
    http://arxiv.org/abs/2010.11505v1

    • [cs.RO]Optimization-Based Visual-Inertial SLAM Tightly Coupled with Raw GNSS Measurements
    Jinxu Liu, Wei Gao, Zhanyi Hu
    http://arxiv.org/abs/2010.11675v1

    • [cs.RO]Quantitative analysis of robot gesticulation behavior
    Unai Zabala, Igor Rodriguez, José María Martínez-Otzeta, Itziar Irigoien, Elena Lazkano
    http://arxiv.org/abs/2010.11614v1

    • [cs.RO]Radar detection rate comparison through a mobile robot platform at the ZalaZONE proving ground
    Victor J. Exposito Jimenez, Christian Schwarzl, Szilard Josvai
    http://arxiv.org/abs/2010.10835v2

    • [cs.RO]Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement
    Adithya Krishna, André van Schaik, Chetan Singh Thakur
    http://arxiv.org/abs/2010.11911v1

    • [cs.RO]System Design and Control of an Apple Harvesting Robot
    Kaixiang Zhang, Kyle Lammers, Pengyu Chu, Zhaojian Li, Renfu Lu
    http://arxiv.org/abs/2010.11296v1

    • [cs.RO]Trajectory Tracking for Robotic Arms with Input Saturation and Only Position Measurements
    Jochem van der Veen, Pablo Borja, Jacquelien M. A. Scherpen
    http://arxiv.org/abs/2010.11712v1

    • [cs.RO]Trip Recovery in Lower-Limb Prostheses using Reachable Sets of Predicted Human Motion
    Shannon M. Danforth, Patrick D. Holmes, Ram Vasudevan
    http://arxiv.org/abs/2010.11228v1

    • [cs.SD]A Framework for Contrastive and Generative Learning of Audio Representations
    Prateek Verma, Julius Smith
    http://arxiv.org/abs/2010.11459v1

    • [cs.SD]AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies
    Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig
    http://arxiv.org/abs/2010.11188v1

    • [cs.SD]Class-Conditional Defense GAN Against End-to-End Speech Attacks
    Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
    http://arxiv.org/abs/2010.11352v1

    • [cs.SD]Compositional embedding models for speaker identification and diarization with simultaneous speech from 2+ speakers
    Zeqian Li, Jacob Whitehill
    http://arxiv.org/abs/2010.11803v1

    • [cs.SD]CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion
    Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo
    http://arxiv.org/abs/2010.11672v1

    • [cs.SD]Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training
    Alex Wilf, Emily Mower Provost
    http://arxiv.org/abs/2010.11226v1

    • [cs.SD]LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation
    Woosung Choi, Minseok Kim, Jaehwa Chung, Soonyoung Jung
    http://arxiv.org/abs/2010.11631v1

    • [cs.SD]Mood Classification Using Listening Data
    Filip Korzeniowski, Oriol Nieto, Matthew McCallum, Minz Won, Sergio Oramas, Erik Schmidt
    http://arxiv.org/abs/2010.11512v1

    • [cs.SD]NU-GAN: High resolution neural upsampling with GAN
    Rithesh Kumar, Kundan Kumar, Vicki Anand, Yoshua Bengio, Aaron Courville
    http://arxiv.org/abs/2010.11362v1

    • [cs.SD]Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning
    Sungkyun Chang, Donmoon Lee, Jeongsoo Park, Hyungui Lim, Kyogu Lee, Karam Ko, Yoonchang Han
    http://arxiv.org/abs/2010.11910v1

    • [cs.SD]Neural Network-based Acoustic Vehicle Counting
    Slobodan Djukanović, Yash Patel, Jiři Matas, Tuomas Virtanen
    http://arxiv.org/abs/2010.11659v1

    • [cs.SD]Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow
    Slobodan Djukanović, Jiři Matas, Tuomas Virtanen
    http://arxiv.org/abs/2010.11716v1

    • [cs.SD]The HUAWEI Speaker Diarisation System for the VoxCeleb Speaker Diarisation Challenge
    Renyu Wang, Ruilin Tong, Yu Ting Yeung, Xiao Chen
    http://arxiv.org/abs/2010.11657v1

    • [cs.SD]Towards Listening to 10 People Simultaneously: An Efficient Permutation Invariant Training of Audio Source Separation Using Sinkhorn’s Algorithm
    Hideyuki Tachibana
    http://arxiv.org/abs/2010.11871v1

    • [cs.SD]Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision
    Yun-Ning Hung, Gordon Wichern, Jonathan Le Roux
    http://arxiv.org/abs/2010.11904v1

    • [cs.SD]Urban Sound Classification : striving towards a fair comparison
    Augustin Arnault, Baptiste Hanssens, Nicolas Riche
    http://arxiv.org/abs/2010.11805v1

    • [cs.SI]Fast Approximate CoSimRanks via Random Projections
    Renchi Yang
    http://arxiv.org/abs/2010.11880v1

    • [cs.SI]Hawkes Process Classification through Discriminative Modeling of Text
    Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik
    http://arxiv.org/abs/2010.11851v1

    • [cs.SI]Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs
    Arpit Merchant, Michael Mathioudakis
    http://arxiv.org/abs/2010.11536v1

    • [cs.SI]Spikyball sampling: Exploring large networks via an inhomogeneous filtered diffusion
    Benjamin Ricaud, Nicolas Aspert, Volodymyr Miz
    http://arxiv.org/abs/2010.11786v1

    • [cs.SI]Systematic edge uncertainty in attributed social networks and its effects on rankings of minority nodes
    Felix I. Stamm, Leonie Neuhäuser, Florian Lemmerich, Michael T. Schaub, Markus Strohmaier
    http://arxiv.org/abs/2010.11546v1

    • [cs.SI]TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing
    Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
    http://arxiv.org/abs/2010.11367v1

    • [econ.GN]Does it Pay Off to Learn a New Skill? Revealing the Economic Benefits of Cross-Skilling
    Fabian Stephany
    http://arxiv.org/abs/2010.11841v1

    • [eess.AS]Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition
    Qiujia Li, David Qiu, Yu Zhang, Bo Li, Yanzhang He, Philip C. Woodland, Liangliang Cao, Trevor Strohman
    http://arxiv.org/abs/2010.11428v1

    • [eess.AS]DBNET: DOA-driven beamforming network for end-to-end farfield sound source separation
    Ali Aroudi, Sebastian Braun
    http://arxiv.org/abs/2010.11566v1

    • [eess.AS]Graph Attention Networks for Speaker Verification
    Jee-weon Jung, Hee-Soo Heo, Ha-Jin Yu, Joon Son Chung
    http://arxiv.org/abs/2010.11543v1

    • [eess.AS]Learning Speaker Embedding from Text-to-Speech
    Jaejin Cho, Piotr Zelasko, Jesus Villalba, Shinji Watanabe, Najim Dehak
    http://arxiv.org/abs/2010.11221v1

    • [eess.AS]Position-Agnostic Multi-Microphone Speech Dereverberation
    Yochai Yemini, Ethan Fetaya, Haggai Maron, Sharon Gannot
    http://arxiv.org/abs/2010.11875v1

    • [eess.AS]Similarity
    1000
    Analysis of Self-Supervised Speech Representations
    Yu-An Chung, Yonatan Belinkov, James Glass
    http://arxiv.org/abs/2010.11481v1

    • [eess.IV]Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases
    Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, Charles Lau, Eddie Santos, Atilla P. Kiraly, Wenxing Ye, Jie Yang, Sahar Kazemzadeh, Jin Yu, Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia Vicente, David Melnick, Greg S. Corrado, Lily Peng, Krish Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty
    http://arxiv.org/abs/2010.11375v1

    • [eess.IV]DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
    Rodrigo Santa Cruz, Leo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado
    http://arxiv.org/abs/2010.11423v1

    • [eess.IV]Malaria detection from RBC images using shallow Convolutional Neural Networks
    Subrata Sarkar, Rati Sharma, Kushal Shah
    http://arxiv.org/abs/2010.11521v1

    • [eess.SP]Contrastive Self-Supervised Learning for Wireless Power Control
    Navid Naderializadeh
    http://arxiv.org/abs/2010.11909v1

    • [eess.SP]Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface
    S. Zurita-Zurita, Francisco J. Escribano, J. Sáez-Landete, J. A. Rodríguez-Manfredi
    http://arxiv.org/abs/2010.11557v1

    • [eess.SP]Online Time-Varying Topology Identification via Prediction-Correction Algorithms
    Alberto Natali, Mario Coutino, Elvin Isufi, Geert Leus
    http://arxiv.org/abs/2010.11634v1

    • [eess.SP]Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution
    Bahareh Tolooshams, Satish Mulleti, Demba Ba, Yonina C. Eldar
    http://arxiv.org/abs/2010.11391v1

    • [eess.SY]Meta-Learning Guarantees for Online Receding Horizon Control
    Deepan Muthirayan, Pramod P. Khargonekar
    http://arxiv.org/abs/2010.11327v1

    • [math.NA]Context-aware surrogate modeling for balancing approximation and sampling costs in multi-fidelity importance sampling and Bayesian inverse problems
    Terrence Alsup, Benjamin Peherstorfer
    http://arxiv.org/abs/2010.11708v1

    • [math.OC]1-norm minimization and minimum-rank structured sparsity for symmetric and ah-symmetric generalized inverses: rank one and two
    Luze Xu, Marcia Fampa, Jon Lee
    http://arxiv.org/abs/2010.11406v1

    • [math.OC]MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics
    Luca De Gennaro Aquino, Stephan Eckstein
    http://arxiv.org/abs/2010.11502v1

    • [math.ST]Gaussoids are two-antecedental approximations of Gaussian conditional independence structures
    Tobias Boege
    http://arxiv.org/abs/2010.11914v1

    • [math.ST]Multivariate mean estimation with direction-dependent accuracy
    Gabor Lugosi, Shahar Mendelson
    http://arxiv.org/abs/2010.11921v1

    • [math.ST]On Mean Estimation for Heteroscedastic Random Variables
    Luc Devroye, Silvio Lattanzi, Gabor Lugosi, Nikita Zhivotovskiy
    http://arxiv.org/abs/2010.11537v1

    • [math.ST]Optimal Change-Point Detection and Localization
    Nicolas Verzelen, Magalie Fromont, Matthieu Lerasle, Patricia Reynaud-Bouret
    http://arxiv.org/abs/2010.11470v1

    • [math.ST]Positive definiteness of the asymptotic covariance matrix of OLS estimators in parsimonious regressions
    Daisuke Nagakura
    http://arxiv.org/abs/2010.11417v1

    • [math.ST]Sequential Change Detection by Optimal Weighted $\ell_2$ Divergence
    Liyan Xie, Yao Xie
    http://arxiv.org/abs/2010.11285v1

    • [physics.comp-ph]Cross-platform programming model for many-core lattice Boltzmann simulations
    Jonas Latt, Christophe Coreixas, Joël Beny
    http://arxiv.org/abs/2010.11751v1

    • [physics.flu-dyn]Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data
    Pranshu Pant, Amir Barati Farimani
    http://arxiv.org/abs/2010.11348v1

    • [q-bio.NC]A Multi-Componential Approach to Emotion Recognition and the Effect of Personality
    Gelareh Mohammadi, Patrik Vuilleumier
    http://arxiv.org/abs/2010.11370v1

    • [q-bio.NC]Factorized Neural Processes for Neural Processes: $K$-Shot Prediction of Neural Responses
    R. James Cotton, Fabian H. Sinz, Andreas S. Tolias
    http://arxiv.org/abs/2010.11810v1

    • [q-bio.NC]Identifying Learning Rules From Neural Network Observables
    Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L. K. Yamins
    http://arxiv.org/abs/2010.11765v1

    • [stat.AP]A Systematic Approach to Surveillance and Detection of Hierarchical Healthcare Cost Drivers and Utilization Offsets
    Ta-Hsin Li, Huijing Jiang, Kevin Tran, Gigi Yuen-Reed, Bob Kelley, Thomas Halvorson
    http://arxiv.org/abs/2010.11405v1

    • [stat.AP]Comparison of ARIMA, ETS, NNAR and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy
    Gaetano Perone
    http://arxiv.org/abs/2010.11617v1

    • [stat.AP]Integrated causal-predictive machine learning models for tropical cyclone epidemiology
    Rachel C. Nethery, Nina Katz-Christy, Marianthi-Anna Kioumourtzoglou, Robbie M. Parks, Andrea Schumacher, G. Brooke Anderson
    http://arxiv.org/abs/2010.11330v1

    • [stat.AP]Nonparametric robust monitoring of time series panel data
    Sophie Mathieu, Rainer von Sachs, Véronique Delouille, Laure Lefèvre, Christian Ritter
    http://arxiv.org/abs/2010.11826v1

    • [stat.AP]Robust estimation of SARS-CoV-2 epidemic at US counties
    Li Hanmo, Gu Mengyang
    http://arxiv.org/abs/2010.11514v1

    • [stat.CO]Measure Transport with Kernel Stein Discrepancy
    Matthew A. Fisher, Tui Nolan, Matthew M. Graham, Dennis Prangle, Chris J. Oates
    http://arxiv.org/abs/2010.11779v1

    • [stat.CO]Reversible Jump PDMP Samplers for Variable Selection
    Augustin Chevallier, Paul Fearnhead, Matthew Sutton
    http://arxiv.org/abs/2010.11771v1

    • [stat.ME]A Normal-Gamma Dirichlet Process Mixture Model
    Dawei Ding, George Karabatsos
    http://arxiv.org/abs/2010.11385v1

    • [stat.ME]Efficient Balanced Treatment Assignments for Experimentation
    David Arbour, Drew Dimmery, Anup Rao
    http://arxiv.org/abs/2010.11332v1

    • [stat.ME]Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19
    Yuting I. Li, Günther Turk, Paul B. Rohrbach, Patrick Pietzonka, Julian Kappler, Rajesh Singh, Jakub Dolezal, Timothy Ekeh, Lukas Kikuchi, Joseph D. Peterson, Hideki Kobayashi, Michael E. Cates, R. Adhikari, Robert L. Jack
    http://arxiv.org/abs/2010.11783v1

    • [stat.ME]Efficient design of geographically-defined clusters with spatial autocorrelation
    Samuel I. Watson
    http://arxiv.org/abs/2010.11850v1

    • [stat.ME]PLSO: A generative framework for decomposing nonstationary timeseries into piecewise stationary oscillatory components
    Andrew H. Song, Demba Ba, Emery N. Brown
    http://arxiv.org/abs/2010.11449v1

    • [stat.ME]Robust estimation in beta regression via maximum Lq-likelihood
    Terezinha K. A. Ribeiro, Silvia L. P. Ferrari
    http://arxiv.org/abs/2010.11368v1

    • [stat.ML]Beyond Lazy Training for Over-parameterized Tensor Decomposition
    Xiang Wang, Chenwei Wu, Jason D. Lee, Tengyu Ma, Rong Ge
    http://arxiv.org/abs/2010.11356v1

    • [stat.ML]Classification with Rejection Based on Cost-sensitive Classification
    Nontawat Charoenphakdee, Zhenghang Cui, Yivan Zhang, Masashi Sugiyama
    http://arxiv.org/abs/2010.11748v1

    • [stat.ML]Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes
    Vitor Cerqueira, Luis Torgo, Carlos Soares
    http://arxiv.org/abs/2010.11595v1

    • [stat.ML]Geometry-Aware Hamiltonian Variational Auto-Encoder
    Clément Chadebec, Clément Mantoux, Stéphanie Allassonnière
    http://arxiv.org/abs/2010.11518v1

    • [stat.ML]Model identification and local linear convergence of coordinate descent
    Quentin Klopfenstein, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon, Samuel Vaiter
    http://arxiv.org/abs/2010.11825v1

    • [stat.ML]Model updating after interventions paradoxically introduces bias
    James Liley, Samuel R Emerson, Bilal A Mateen, Catalina A Vallejos, Louis J M Aslett, Sebastian J Vollmer
    http://arxiv.org/abs/2010.11530v1

    • [stat.ML]Network topology change-point detection from graph signals with prior spectral signatures
    Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra
    http://arxiv.org/abs/2010.11345v1

    • [stat.ML]Precise Statistical Analysis of Classification Accuracies for Adversarial Training
    Adel Javanmard, Mahdi Soltanolkotabi
    http://arxiv.org/abs/2010.11213v1

    • [stat.ML]Random Coordinate Underdamped Langevin Monte Carlo
    Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
    http://arxiv.org/abs/6bd
    s/2010.11366v1
    s/2010.11366v1)

    • [stat.ML]Random Coordinate Underdamped Langevin Monte Carlo
    Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
    http://arxiv.org/abs/2010.11366v1

    • [stat.ML]Sharp Bias-variance Tradeoffs of Hard Parameter Sharing in High-dimensional Linear Regression
    Hongyang R. Zhang, Fan Yang, Sen Wu, Weijie J. Su, Christopher Ré
    http://arxiv.org/abs/2010.11750v1

    • [stat.ML]Spike and slab variational Bayes for high dimensional logistic regression
    Kolyan Ray, Botond Szabo, Gabriel Clara
    http://arxiv.org/abs/2010.11665v1

    • [stat.ML]The Role of Mutual Information in Variational Classifiers
    Matias Vera, Leonardo Rey Vega, Pablo Piantanida
    http://arxiv.org/abs/2010.11642v1