astro-ph.EP - 地球与行星天体
cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.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.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-fin.TR - 贸易与市场微观结构 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.EP]Automated crater detection with human level performance
• [cs.AI]Algorithms for Causal Reasoning in Probability Trees
• [cs.AI]Exploring Common and Individual Characteristics of Students via Matrix Recovering
• [cs.AI]Improving Policy-Constrained Kidney Exchange via Pre-Screening
• [cs.AI]Knowledge Graph Embedding with Atrous Convolution and Residual Learning
• [cs.AI]Model Interpretability through the Lens of Computational Complexity
• [cs.CE]A Perspective on Machine Learning Methods in Turbulence Modelling
• [cs.CE]Beating the market with a bad predictive model
• [cs.CL]A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric
• [cs.CL]A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems
• [cs.CL]A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
• [cs.CL]Adversarial Learning of Feature-based Meta-Embeddings
• [cs.CL]Attention Transfer Network for Aspect-level Sentiment Classification
• [cs.CL]BARThez: a Skilled Pretrained French Sequence-to-Sequence Model
• [cs.CL]Customizing Triggers with Concealed Data Poisoning
• [cs.CL]DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries
• [cs.CL]Deep Learning Framework for Measuring the Digital Strategy of Companies from Earnings Calls
• [cs.CL]Domain Divergences: a Survey and Empirical Analysis
• [cs.CL]ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding
• [cs.CL]Evaluating Language Tools for Fifteen EU-official Under-resourced Languages
• [cs.CL]Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
• [cs.CL]GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method
• [cs.CL]HateBERT: Retraining BERT for Abusive Language Detection in English
• [cs.CL]Helping users discover perspectives: Enhancing opinion mining with joint topic models
• [cs.CL]Identifying Similar Movie Characters Quickly but Effectively Using Non-exhaustive Pair-wise Attention
• [cs.CL]Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures
• [cs.CL]Intrinsic Quality Assessment of Arguments
• [cs.CL]KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi
• [cs.CL]Multilingual BERT Post-Pretraining Alignment
• [cs.CL]Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension
• [cs.CL]NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction
• [cs.CL]Natural Language Processing Chains Inside a Cross-lingual Event-Centric Knowledge Pipeline for European Union Under-resourced Languages
• [cs.CL]Neural Passage Retrieval with Improved Negative Contrast
• [cs.CL]On the Transformer Growth for Progressive BERT Training
• [cs.CL]Pre-trained Model for Chinese Word Segmentation with Meta Learning
• [cs.CL]Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets
• [cs.CL]Proof-theoretic aspects of NL$λ$
• [cs.CL]Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text
• [cs.CL]ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding
• [cs.CL]SmBoP: Semi-autoregressive Bottom-up Semantic Parsing
• [cs.CL]TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
• [cs.CL]UNER: Universal Named-Entity RecognitionFramework
• [cs.CL]Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries
• [cs.CL]Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond
• [cs.CR]DeFuzz: Deep Learning Guided Directed Fuzzing
• [cs.CR]DualNet: Locate Then Detect Effective Payload with Deep Attention Network
• [cs.CR]Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries
• [cs.CR]Zoom on the Keystrokes: Exploiting Video Calls for Keystroke Inference Attacks
• [cs.CV]A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision
• [cs.CV]AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
• [cs.CV]BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
• [cs.CV]Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization
• [cs.CV]DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization
• [cs.CV]Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
• [cs.CV]Domain Adaptation in LiDAR Semantic Segmentation
• [cs.CV]Efficient grouping for keypoint detection
• [cs.CV]Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation
• [cs.CV]Feature matching in Ultrasound images
• [cs.CV]Few-shot Image Recognition with Manifolds
• [cs.CV]Fusion of Dual Spatial Information for Hyperspectral Image Classification
• [cs.CV]GPS-Denied Navigation Using SAR Images and Neural Networks
• [cs.CV]Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
• [cs.CV]High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks
• [cs.CV]IPU-Net: Multi Scale Identity-Preserved U-Net for Low Resolution Face Recognition
• [cs.CV]Learn Robust Features via Orthogonal Multi-Path
• [cs.CV]Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
• [cs.CV]Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation
• [cs.CV]LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
• [cs.CV]Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels
• [cs.CV]Object-aware Feature Aggregation for Video Object Detection
• [cs.CV]Primal-Dual Mesh Convolutional Neural Networks
• [cs.CV]RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
• [cs.CV]ResNet or DenseNet? Introducing Dense Shortcuts to ResNet
• [cs.CV]Rethinking the competition between detection and ReID in Multi-Object Tracking
• [cs.CV]SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
• [cs.CV]Self-Learning Transformations for Improving Gaze and Head Redirection
• [cs.CV]Show and Speak: Directly Synthesize Spoken Description of Images
• [cs.CV]Spherical Harmonics for Shape-Constrained 3D Cell Segmentation
• [cs.CV]Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition
• [cs.CV]The Analysis of Facial Feature Deformation using Optical Flow Algorithm
• [cs.CV]Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
• [cs.CV]Unsupervised Domain Adaptation without Source Data by Casting a BAIT
• [cs.CY]Artificial Tikkun Olam: AI Can Be Our Best Friend in Building an Open Human-Computer Society
• [cs.CY]Automated Environmental Compliance Monitoring with IoT and Open Government Data
• [cs.CY]Digital Transformation: Environmental Friend or Foe? Panel Discussion at the Australasian Conference on Information Systems 2019
• [cs.CY]Flaws in Flawlessness: Perfectionism as a New Technology Driven Mental Disorder
• [cs.CY]Theoretical opportunities for rural innovation and entrepreneurship research
• [cs.CY]Towards falsifiable interpretability research
• [cs.CY]Understanding the drivers of sustainable land expansion using a patch-level simulation model: A case study in Wuhan, China
• [cs.DC]A Bespoke Workflow Management System for Data-Driven Urgent HPC
• [cs.DC]A methodology to design distributed algorithms for mobile entities: the pattern formation problem as case study
• [cs.DC]Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree
• [cs.DC]Performance Evaluation of ParalleX Execution model on Arm-based Platforms
• [cs.DC]Work-stealing prefix scan: Addressing load imbalance in large-scale image registration
• [cs.GT]A novel auction system for selecting advertisements in Real-Time bidding
• [cs.GT]Perturbed Pricing
• [cs.IR]A Pre-training Strategy for Recommendation
• [cs.IR]EventKG+Click: A Dataset of Language-specific Event-centric User Interaction Traces
• [cs.IR]NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation
• [cs.IT]Deep Reinforcement Learning for IoT Networks: Age of Information and Energy Cost Tradeoff
• [cs.IT]Detection of Local Mixing in Time-Series Data Using Permutation Entropy
• [cs.IT]Divide and Conquer: One-Bit MIMO-OFDM Detection by Inexact Expectation Maximization
• [cs.IT]MmWaves Cellular V2X for Cooperative Diversity Relay Fast Fading Channels
• [cs.IT]On the robustness of noise-blind low-rank recovery from rank-one measurements
• [cs.IT]Performance Analysis of Distributed Intelligent Reflective Surfaces for Wireless Communications
• [cs.IT]Point-to-Point Strategic Communication
• [cs.IT]Relative projective group codes over chain rings
• [cs.LG]A Combinatorial Perspective on Transfer Learning
• [cs.LG]A Multilinear Sampling Algorithm to Estimate Shapley Values
• [cs.LG]A Practical Guide of Off-Policy Evaluation for Bandit Problems
• [cs.LG]A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
• [cs.LG]Accelerating Metropolis-Hastings with Lightweight Inference Compilation
• [cs.LG]Achieving User-Side Fairness in Contextual Bandits
• [cs.LG]Adaptive Gradient Quantization for Data-Parallel SGD
• [cs.LG]Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion
• [cs.LG]Adversarial Robustness of Supervised Sparse Coding
• [cs.LG]An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits
• [cs.LG]Approximation Methods for Kernelized Bandits
• [cs.LG]BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks
• [cs.LG]Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
• [cs.LG]Coping with Label Shift via Distributionally Robust Optimisation
• [cs.LG]Few-shot Learning for Decoding Brain Signals
• [cs.LG]Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation
• [cs.LG]Generative Neurosymbolic Machines
• [cs.LG]Graph Geometry Interaction Learning
• [cs.LG]Graph Learning for Clustering Multi-view Data
• [cs.LG]Graph and graphon neural network stability
• [cs.LG]Graph-Homomorphic Perturbations for Private Decentralized Learning
• [cs.LG]GraphSpeech: Syntax-Aware Graph Attention Network For Neural Speech Synthesis
• [cs.LG]Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
• [cs.LG]Learning from missing data with the Latent Block Model
• [cs.LG]Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
• [cs.LG]Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy
• [cs.LG]Learning to Optimise General TSP Instances
• [cs.LG]On Evaluating Neural Network Backdoor Defenses
• [cs.LG]On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
• [cs.LG]On the Number of Linear Functions Composing Deep Neural Network: Towards a Refined Definition of Neural Networks Complexity
• [cs.LG]One-shot Learning for Temporal Knowledge Graphs
• [cs.LG]Online Algorithm for Unsupervised Sequential Selection with Contextual Information
• [cs.LG]Online Semi-Supervised Learning with Bandit Feedback
• [cs.LG]Population Gradients improve performance across data-sets and architectures in object classification
• [cs.LG]Predicting Infectiousness for Proactive Contact Tracing
• [cs.LG]Prediction of Temperature and Rainfall in Bangladesh using Long Short Term Memory Recurrent Neural Networks
• [cs.LG]Quantizing Multiple Sources to a Common Cluster Center: An Asymptotic Analysis
• [cs.LG]Sharper convergence bounds of Monte Carlo Rademacher Averages through Self-Bounding functions
• [cs.LG]Tensor Reordering for CNN Compression
• [cs.LG]Throughput-Optimal Topology Design for Cross-Silo Federated Learning
• [cs.LG]Topic Space Trajectories: A case study on machine learning literature
• [cs.LG]Train simultaneously, generalize better: Stability of gradient-based minimax learners
• [cs.LG]Unbiased Estimation Equation under $f$-Separable Bregman Distortion Measures
• [cs.MA]Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
• [cs.MA]Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams
• [cs.NE]Fading memory echo state networks are universal
• [cs.NE]Quantum Superposition Spiking Neural Network
• [cs.RO]Atlas Fusion — Modern Framework for Autonomous Agent Sensor Data Fusion
• [cs.RO]CLOUD: Contrastive Learning of Unsupervised Dynamics
• [cs.RO]Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion
• [cs.RO]Kinodynamic Planning for an Energy-Efficient Autonomous Ornithopter
• [cs.RO]Language-Conditioned Imitation Learning for Robot Manipulation Tasks
• [cs.RO]Migratable AI: Personalizing Dialog Conversations with migration context
• [cs.RO]On the mechanical contribution of head stabilization to passive dynamics of anthropometric walkers
• [cs.RO]Robust Planning and Control for Dynamic Quadrupedal Locomotion with Adaptive Feet
• [cs.RO]TAMPC: A Controller for Escaping Traps in Novel Environments
• [cs.RO]Tele-operative Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients
• [cs.RO]VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach
• [cs.SD]Don’t shoot butterfly with rifles: Multi-channel Continuous Speech Separation with Early Exit Transformer
• [cs.SD]EML System Description for VoxCeleb Speaker Diarization Challenge 2020
• [cs.SD]Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data
• [cs.SD]Transformer-based End-to-End Speech Recognition with Local Dense Synthesizer Attention
• [cs.SI]Origins of Algorithmic Instabilities in Crowdsourced Ranking
• [cs.SI]The Impact Of Noise And Topology On Opinion Dynamics In Social Networks
• [eess.AS]Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations
• [eess.AS]How Phonotactics Affect Multilingual and Zero-shot ASR Performance
• [eess.AS]Speech enhancement aided end-to-end multi-task learning for voice activity detection
• [eess.IV]Estimation of Cardiac Valve Annuli Motion with Deep Learning
• [eess.IV]Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising
• [eess.IV]Segmentation of the cortical plate in fetal brain MRI with a topological loss
• [eess.SP]Millimeter Wave MIMO Channel Estimation with 1-bit Spatial Sigma-delta Analog-to-Digital Converters
• [eess.SP]Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation
• [eess.SP]Network Classifiers Based on Social Learning
• [eess.SY]State space models for building control: how deep should you go?
• [math.NA]Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities
• [math.NA]Optimized Multivariate Polynomial Determinant on GPU
• [math.OC]A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
• [math.OC]An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization
• [math.OC]Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient
• [math.OC]Linearly Converging Error Compensated SGD
• [math.ST]Computationally and Statistically Efficient Truncated Regression
• [math.ST]Detection of groups of concomitant extremes using clustering
• [math.ST]Fading Boundaries: On a Nonparametric Variant of the Kiefer—Weiss Problem
• [math.ST]Fast and Smooth Interpolation on Wasserstein Space
• [math.ST]Finite Continuum-Armed Bandits
• [math.ST]Smoothing and adaptation of shifted Pólya Tree ensembles
• [physics.geo-ph]Richter b-value maps from local moments of seismicity
• [physics.soc-ph]The fragility of opinion formation in a complex world
• [q-bio.NC]Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
• [q-fin.TR]Option Hedging with Risk Averse Reinforcement Learning
• [stat.AP]A Data-driven Change-point Estimator
• [stat.AP]Data Mining in Large Frequency Tables With Ontology, with an Application to the Vaccine Adverse Event Reporting System
• [stat.AP]Geostatistical models for zero-inflated data and extreme values
• [stat.AP]Statistical methods for linking geostatistical maps and transmission models: Application to lymphatic filariasis in East Africa
• [stat.CO]No Free Lunch for Approximate MCMC
• [stat.ME]A two-part finite mixture quantile regression model for semi-continuous longitudinal data
• [stat.ME]Empirical Likelihood Inference for Area under the ROC Curve using Ranked Set Samples
• [stat.ME]Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling
• [stat.ME]LowCon: A design-based subsampling approach in a misspecified linear modeL
• [stat.ME]The Wasserstein Impact Measure (WIM): a generally applicable, practical tool for quantifying prior impact in Bayesian statistics
• [stat.ML]An Analysis of LIME for Text Data
• [stat.ML]Recovery of sparse linear classifiers from mixture of responses
• [stat.ML]Regret in Online Recommendation Systems
• [stat.ML]Rescuing neural spike train models from bad MLE
·····································
• [astro-ph.EP]Automated crater detection with human level performance
Christopher Lee, James Hogan
http://arxiv.org/abs/2010.12520v1
• [cs.AI]Algorithms for Causal Reasoning in Probability Trees
Tim Genewein, Tom McGrath, Grégoire Déletang, Vladimir Mikulik, Miljan Martic, Shane Legg, Pedro A. Ortega
http://arxiv.org/abs/2010.12237v1
• [cs.AI]Exploring Common and Individual Characteristics of Students via Matrix Recovering
Zhen Wang, Ben Teng, Yun Zhou, Hanshuang Tong, Guangtong Liu
http://arxiv.org/abs/2010.12290v1
• [cs.AI]Improving Policy-Constrained Kidney Exchange via Pre-Screening
Duncan C McElfresh, Michael Curry, Tuomas Sandholm, John P Dickerson
http://arxiv.org/abs/2010.12069v1
• [cs.AI]Knowledge Graph Embedding with Atrous Convolution and Residual Learning
Feiliang Ren, Juchen Li, Huihui Zhang, Shilei Liu, Bochao Li, Ruicheng Ming, Yujia Bai
http://arxiv.org/abs/2010.12121v1
• [cs.AI]Model Interpretability through the Lens of Computational Complexity
Pablo Barceló, Mikaël Monet, Jorge Pérez, Bernardo Subercaseaux
http://arxiv.org/abs/2010.12265v1
• [cs.CE]A Perspective on Machine Learning Methods in Turbulence Modelling
Andrea Beck, Marius Kurz
http://arxiv.org/abs/2010.12226v1
• [cs.CE]Beating the market with a bad predictive model
Ondřej Hubáček, Gustav Šír
http://arxiv.org/abs/2010.12508v1
• [cs.CL]A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric
Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier
http://arxiv.org/abs/2010.11947v1
• [cs.CL]A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems
Sunghyun Park, Han Li, Ameen Patel, Sidharth Mudgal, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya
http://arxiv.org/abs/2010.12251v1
• [cs.CL]A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow
http://arxiv.org/abs/2010.12309v1
• [cs.CL]Adversarial Learning of Feature-based Meta-Embeddings
Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow
http://arxiv.org/abs/2010.12305v1
• [cs.CL]Attention Transfer Network for Aspect-level Sentiment Classification
Fei Zhao, Zhen Wu, Xinyu Dai
http://arxiv.org/abs/2010.12156v1
• [cs.CL]BARThez: a Skilled Pretrained French Sequence-to-Sequence Model
Moussa Kamal Eddine, Antoine J. -P. Tixier, Michalis Vazirgiannis
http://arxiv.org/abs/2010.12321v1
• [cs.CL]Customizing Triggers with Concealed Data Poisoning
Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh
http://arxiv.org/abs/2010.12563v1
• [cs.CL]DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries
Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Jiecao Chen
http://arxiv.org/abs/2010.12566v1
• [cs.CL]Deep Learning Framework for Measuring the Digital Strategy of Companies from Earnings Calls
Ahmed Ghanim Al-Ali, Robert Phaal, Donald Sull
http://arxiv.org/abs/2010.12418v1
• [cs.CL]Domain Divergences: a Survey and Empirical Analysis
Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann
http://arxiv.org/abs/2010.12198v1
• [cs.CL]ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding
Dongling Xiao, Yu-Kun Li, Han Zhang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
http://arxiv.org/abs/2010.12148v1
• [cs.CL]Evaluating Language Tools for Fifteen EU-official Under-resourced Languages
Diego Alves, Gaurish Thakkar, Marko Tadić
http://arxiv.org/abs/2010.12428v1
• [cs.CL]Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
http://arxiv.org/abs/2010.12512v1
• [cs.CL]GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method
Nicole Peinelt, Marek Rei, Maria Liakata
http://arxiv.org/abs/2010.12532v1
• [cs.CL]HateBERT: Retraining BERT for Abusive Language Detection in English
Tommaso Caselli, Valerio Basile, Jelena Mitrović, Michael Granitzer
http://arxiv.org/abs/2010.12472v1
• [cs.CL]Helping users discover perspectives: Enhancing opinion mining with joint topic models
Tim Draws, Jody Liu, Nava Tintarev
http://arxiv.org/abs/2010.12505v1
• [cs.CL]Identifying Similar Movie Characters Quickly but Effectively Using Non-exhaustive Pair-wise Attention
Zhilin Wang, Weizhe Lin, Xiaodong Wu
http://arxiv.org/abs/2010.12183v1
• [cs.CL]Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures
Nafise Sadat Moosavi, Marcel de Boer, Prasetya Ajie Utama, Iryna Gurevych
http://arxiv.org/abs/2010.12510v1
• [cs.CL]Intrinsic Quality Assessment of Arguments
Henning Wachsmuth, Till Werner
http://arxiv.org/abs/2010.12473v1
• [cs.CL]KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi
Rubungo Andre Niyongabo, Hong Qu, Julia Kreutzer, Li Huang
http://arxiv.org/abs/2010.12174v1
• [cs.CL]Multilingual BERT Post-Pretraining Alignment
Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Mo Yu, Saloni Potdar
http://arxiv.org/abs/2010.12547v1
• [cs.CL]Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension
Siamak Shakeri, Noah Constant, Mihir Sanjay Kale, Linting Xue
http://arxiv.org/abs/2010.12008v1
• [cs.CL]NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction
Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen
http://arxiv.org/abs/2010.12322v1
• [cs.CL]Natural Language Processing Chains Inside a Cross-lingual Event-Centric Knowledge Pipeline for European Union Under-resourced Languages
Diego Alves, Gaurish Thakkar, Marko Tadić
http://arxiv.org/abs/2010.12433v1
• [cs.CL]Neural Passage Retrieval with Improved Negative Contrast
Jing Lu, Gustavo Hernandez Abrego, Ji Ma, Jianmo Ni, Yinfei Yang
http://arxiv.org/abs/2010.12523v1
• [cs.CL]On the Transformer Growth for Progressive BERT Training
Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han
http://arxiv.org/abs/2010.12562v1
• [cs.CL]Pre-trained Model for Chinese Word Segmentation with Meta Learning
Zhen Ke, Liang Shi, Erli Meng, Bin Wang, Xipeng Qiu
http://arxiv.org/abs/2010.12272v1
• [cs.CL]Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets
Gaurish Thakkar, Marcis Pinnis
http://arxiv.org/abs/2010.12401v1
• [cs.CL]Proof-theoretic aspects of NL$λ$
Richard Moot
http://arxiv.org/abs/2010.12223v1
• [cs.CL]Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text
Peng Qi, Haejun Lee, Oghenetegiri “TG” Sido, Christopher D. Manning
http://arxiv.org/abs/2010.12527v1
• [cs.CL]ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding
Minjeong Kim, Gyuwan Kim, Sang-Woo Lee, Jung-Woo Ha
http://arxiv.org/abs/2010.12283v1
• [cs.CL]SmBoP: Semi-autoregressive Bottom-up Semantic Parsing
Ohad Rubin, Jonathan Berant
http://arxiv.org/abs/2010.12412v1
• [cs.CL]TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves, Luis Espinosa-Anke
http://arxiv.org/abs/2010.12421v1
• [cs.CL]UNER: Universal Named-Entity RecognitionFramework
Diego Alves, Tin Kuculo, Gabriel Amaral, Gaurish Thakkar, Marko Tadic
http://arxiv.org/abs/2010.12406v1
• [cs.CL]Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries
Daniel Deutsch, Dan Roth
http://arxiv.org/abs/2010.12495v1
• [cs.CL]Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond
Xin Li, Lidong Bing, Wenxuan Zhang, Zheng Li, Wai Lam
http://arxiv.org/abs/2010.12405v1
• [cs.CR]DeFuzz: Deep Learning Guided Directed Fuzzing
Xiaogang Zhu, Shigang Liu, Xian Li, Sheng Wen, Jun Zhang, Camtepe Seyit, Yang Xiang
http://arxiv.org/abs/2010.12149v1
• [cs.CR]DualNet: Locate Then Detect Effective Payload with Deep Attention Network
Shiyi Yang, Peilun Wu, Hui Guo
http://arxiv.org/abs/2010.12171v1
• [cs.CR]Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries
Dario Pasquini, Marco Cianfriglia, Giuseppe Ateniese, Massimo Bernaschi
http://arxiv.org/abs/2010.12269v1
• [cs.CR]Zoom on the Keystrokes: Exploiting Video Calls for Keystroke Inference Attacks
Mohd Sabra, Anindya Maiti, Murtuza Jadliwala
http://arxiv.org/abs/2010.12078v1
• [cs.CV]A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision
Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu
http://arxiv.org/abs/2010.12219v1
• [cs.CV]AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
Mahesh Kumar Krishna Reddy, Mrigank Rochan, Yiwei Lu, Yang Wang
http://arxiv.org/abs/2010.12141v1
• [cs.CV]BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
Christian Sormann, Patrick Knöbelreiter, Andreas Kuhn, Mattia Rossi, Thomas Pock, Friedrich Fraundorfer
http://arxiv.org/abs/2010.12436v1
• [cs.CV]Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization
Li Ren, Kai Li, LiQiang Wang, Kien Hua
http://arxiv.org/abs/2010.12126v1
• [cs.CV]DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization
Shuai Shao, Mengke Wang, Rui Xu, Yan-Jiang Wang, Bao-Di Liu
http://arxiv.org/abs/2010.12417v1
• [cs.CV]Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
Yuxi Li, Ning Xu, Jinlong Peng, John See, Weiyao Lin
http://arxiv.org/abs/2010.12176v1
• [cs.CV]Domain Adaptation in LiDAR Semantic Segmentation
Inigo Alonso, Luis Riazuelo. Luis Montesano, Ana C. Murillo
http://arxiv.org/abs/2010.12239v1
• [cs.CV]Efficient grouping for keypoint detection
Alexey Sidnev, Ekaterina Krasikova, Maxim Kazakov
http://arxiv.org/abs/2010.12390v1
• [cs.CV]Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation
Nikolas Klug, Moritz Einfalt, Stephan Brehm, Rainer Lienhart
http://arxiv.org/abs/2010.12317v1
• [cs.CV]Feature matching in Ultrasound images
Hang Zhu, Zihao Wang
http://arxiv.org/abs/2010.12216v1
• [cs.CV]Few-shot Image Recognition with Manifolds
Debasmit Das, J. H. Moon, C. S. George Lee
http://arxiv.org/abs/2010.12084v1
• [cs.CV]Fusion of Dual Spatial Information for Hyperspectral Image Classification
Puhong Duan, Pedram Ghamisi, Xudong Kang, Behnood Rasti, Shutao Li, Richard Gloaguen
http://arxiv.org/abs/2010.12337v1
• [cs.CV]GPS-Denied Navigation Using SAR Images and Neural Networks
Teresa White, Jesse Wheeler, Colton Lindstrom, Randall Christensen, Kevin R. Moon
http://arxiv.org/abs/2010.12108v1
• [cs.CV]Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, Dacheng Tao
http://arxiv.org/abs/2010.12238v1
• [cs.CV]High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks
Saeed Khaki, Hieu Pham, Ye Han, Wade Kent, Lizhi Wang
http://arxiv.org/abs/2010.12552v1
• [cs.CV]IPU-Net: Multi Scale Identity-Preserved U-Net for Low Resolution Face Recognition
Vahid Reza Khazaie, Nicky Bayat, Yalda Mohsenzadeh
http://arxiv.org/abs/2010.12249v1
• [cs.CV]Learn Robust Features via Orthogonal Multi-Path
Kun Fang, Yingwen Wu, Tao Li, Xiaolin Huang, Jie Yang
http://arxiv.org/abs/2010.12190v1
• [cs.CV]Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
Feng Liu, Xiaoming Liu
http://arxiv.org/abs/2010.12320v1
• [cs.CV]Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation
Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz
http://arxiv.org/abs/2010.12136v1
• [cs.CV]LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
http://arxiv.org/abs/2010.12447v1
• [cs.CV]Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels
Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl
http://arxiv.org/abs/2010.12316v1
• [cs.CV]Object-aware Feature Aggregation for Video Object Detection
Qichuan Geng, Hong Zhang, Na Jiang, Xiaojuan Qi, Liangjun Zhang, Zhong Zhou
http://arxiv.org/abs/2010.12573v1
• [cs.CV]Primal-Dual Mesh Convolutional Neural Networks
Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone
http://arxiv.org/abs/2010.12455v1
• [cs.CV]RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois Knoll
http://arxiv.org/abs/2010.12394v1
• [cs.CV]ResNet or DenseNet? Introducing Dense Shortcuts to ResNet
Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, Francois Rameau, Jean-Charles Bazin, In So Kweon
http://arxiv.org/abs/2010.12496v1
• [cs.CV]Rethinking the competition between detection and ReID in Multi-Object Tracking
Chao Liang, Zhipeng Zhang, Yi Lu, Xue Zhou, Bing Li, Xiyong Ye, Jianxiao Zou
http://arxiv.org/abs/2010.12138v1
• [cs.CV]SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
Shuai Shao, Rui Xu, Yan-Jiang Wang, Weifeng Liu, Bao-Di Liu
http://arxiv.org/abs/2010.12416v1
• [cs.CV]Self-Learning Transformations for Improving Gaze and Head Redirection
Yufeng Zheng, Seonwook Park, Xucong Zhang, Shalini De Mello, Otmar Hilliges
http://arxiv.org/abs/2010.12307v1
• [cs.CV]Show and Speak: Directly Synthesize Spoken Description of Images
Xinsheng Wang, Siyuan Feng, Jihua Zhu, Mark Hasegawa-Johnson, Odette Scharenborg
http://arxiv.org/abs/2010.12267v1
• [cs.CV]Spherical Harmonics for Shape-Constrained 3D Cell Segmentation
Dennis Eschweiler, Malte Rethwisch, Simon Koppers, Johannes Stegmaier
http://arxiv.org/abs/2010.12369v1
• [cs.CV]Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition
Negar Heidari, Alexandros Iosifidis
http://arxiv.org/abs/2010.12221v1
• [cs.CV]The Analysis of Facial Feature Deformation using Optical Flow Algorithm
Dayang Nur Zulhijah Awang Jesemi, Hamimah Ujir, Irwandi Hipiny, Sarah Flora Samson Juan
http://arxiv.org/abs/2010.12199v1
• [cs.CV]Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
Taotao Jing Name, Bingrong Xu, Jingjing Li, Zhengming Ding
http://arxiv.org/abs/2010.12184v1
• [cs.CV]Unsupervised Domain Adaptation without Source Data by Casting a BAIT
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz
http://arxiv.org/abs/2010.12427v1
• [cs.CY]Artificial Tikkun Olam: AI Can Be Our Best Friend in Building an Open Human-Computer Society
Simon Kasif
http://arxiv.org/abs/2010.12015v1
• [cs.CY]Automated Environmental Compliance Monitoring with IoT and Open Government Data
Lizaveta Miasayedava, Keegan McBride, Jeffrey Andrew Tuhtan
http://arxiv.org/abs/2010.11945v1
• [cs.CY]Digital Transformation: Environmental Friend or Foe? Panel Discussion at the Australasian Conference on Information Systems 2019
Sachithra Lokuge, Darshana Sedera, Vanessa Cooper, Frada Burstein
http://arxiv.org/abs/2010.12034v1
• [cs.CY]Flaws in Flawlessness: Perfectionism as a New Technology Driven Mental Disorder
Darshana Sedera, Sachithra Lokuge
http://arxiv.org/abs/2010.12032v1
• [cs.CY]Theoretical opportunities for rural innovation and entrepreneurship research
Sachithra Lokuge
http://arxiv.org/abs/2010.12031v1
• [cs.CY]Towards falsifiable interpretability research
Matthew L. Leavitt, Ari Morcos
http://arxiv.org/abs/2010.12016v1
• [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/2010.11541v2
• [cs.DC]A Bespoke Workflow Management System for Data-Driven Urgent HPC
Gordon P. S. Gibb, Nick Brown, Rupert W, Nash, Miguel Mendes, Santiago Monedero, Humberto Díaz Fidalgo, Joaquín Ramírez Cisneros, Adrián Cardil, Max Kontak
http://arxiv.org/abs/2010.12328v1
• [cs.DC]A methodology to design distributed algorithms for mobile entities: the pattern formation problem as case study
Serafino Cicerone, Gabriele Di Stefano, Alfredo Navarra
http://arxiv.org/abs/2010.12463v1
• [cs.DC]Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree
Linjian Ma, Edgar Solomonik
http://arxiv.org/abs/2010.12056v1
• [cs.DC]Performance Evaluation of ParalleX Execution model on Arm-based Platforms
Nikunj Gupta, Rohit Ashiwal, Bine Brank, Sateesh K. Peddoju, Dirk Pleiter
http://arxiv.org/abs/2010.12195v1
• [cs.DC]Work-stealing prefix scan: Addressing load imbalance in large-scale image registration
Marcin Copik, Tobias Grosser, Torsten Hoefler, Paolo Bientinesi, Benjamin Berkels
http://arxiv.org/abs/2010.12478v1
• [cs.GT]A novel auction system for selecting advertisements in Real-Time bidding
Luis Miralles-Pechuán, Fernando Jiménez, José Manuel García
http://arxiv.org/abs/2010.11981v1
• [cs.GT]Perturbed Pricing
Neil Walton, Yuqing Zhang
http://arxiv.org/abs/2010.12300v1
• [cs.IR]A Pre-training Strategy for Recommendation
Susen Yang, Yong Liu, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Chunyan Miao
http://arxiv.org/abs/2010.12284v1
• [cs.IR]EventKG+Click: A Dataset of Language-specific Event-centric User Interaction Traces
Sara Abdollahi, Simon Gottschalk, Elena Demidova
http://arxiv.org/abs/2010.12370v1
• [cs.IR]NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation
Jinbo Song, Chao Chang, Fei Sun, Xinbo Song, Peng Jiang
http://arxiv.org/abs/2010.12256v1
• [cs.IT]Deep Reinforcement Learning for IoT Networks: Age of Information and Energy Cost Tradeoff
Xiongwei Wu, Xiuhua Li, Jun Li, P. C. Ching, H. Vincent Poor
http://arxiv.org/abs/2010.12297v1
• [cs.IT]Detection of Local Mixing in Time-Series Data Using Permutation Entropy
Michael Neuder, Elizabeth Bradley, Edward Dlugokencky, James W. C. White, Joshua Garland
http://arxiv.org/abs/2010.12384v1
• [cs.IT]Divide and Conquer: One-Bit MIMO-OFDM Detection by Inexact Expectation Maximization
Mingjie Shao, Wing-Kin Ma
http://arxiv.org/abs/2010.12492v1
• [cs.IT]MmWaves Cellular V2X for Cooperative Diversity Relay Fast Fading Channels
Elyes Balti, Brian K. Johnson
http://arxiv.org/abs/2010.12166v1
• [cs.IT]On the robustness of noise-blind low-rank recovery from rank-one measurements
Felix Krahmer, Christian Kümmerle, Oleh Melnyk
http://arxiv.org/abs/2010.12402v1
• [cs.IT]Performance Analysis of Distributed Intelligent Reflective Surfaces for Wireless Communications
Diluka Loku Galappaththige, Dhanushka Kudathanthirige, Gayan Amarasuriya Aruma Baduge
http://arxiv.org/abs/2010.12543v1
• [cs.IT]Point-to-Point Strategic Communication
Maël Le Treust, Tristan Tomala
http://arxiv.org/abs/2010.12480v1
• [cs.IT]Relative projective group codes over chain rings
Simon Eisenbarth, Sihuang Hu
http://arxiv.org/abs/2010.12429v1
• [cs.LG]A Combinatorial Perspective on Transfer Learning
Jianan Wang, Eren Sezener, David B
268
udden, Marcus Hutter, Joel Veness
http://arxiv.org/abs/2010.12268v1
• [cs.LG]A Multilinear Sampling Algorithm to Estimate Shapley Values
Ramin Okhrati, Aldo Lipani
http://arxiv.org/abs/2010.12082v1
• [cs.LG]A Practical Guide of Off-Policy Evaluation for Bandit Problems
Masahiro Kato, Kenshi Abe, Kaito Ariu, Shota Yasui
http://arxiv.org/abs/2010.12470v1
• [cs.LG]A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
Chenxi Sun, Hongda Shen, Moxian Song, Hongyan Li
http://arxiv.org/abs/2010.12493v1
• [cs.LG]Accelerating Metropolis-Hastings with Lightweight Inference Compilation
Feynman Liang, Nimar Arora, Nazanin Tehrani, Yucen Li, Michael Tingley, Erik Meijer
http://arxiv.org/abs/2010.12128v1
• [cs.LG]Achieving User-Side Fairness in Contextual Bandits
Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil Heffernan
http://arxiv.org/abs/2010.12102v1
• [cs.LG]Adaptive Gradient Quantization for Data-Parallel SGD
Fartash Faghri, Iman Tabrizian, Ilia Markov, Dan Alistarh, Daniel Roy, Ali Ramezani-Kebrya
http://arxiv.org/abs/2010.12460v1
• [cs.LG]Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion
Qianqian Ma, Alex Olshevsky
http://arxiv.org/abs/2010.12181v1
• [cs.LG]Adversarial Robustness of Supervised Sparse Coding
Jeremias Sulam, Ramchandran Muthumukar, Raman Arora
http://arxiv.org/abs/2010.12088v1
• [cs.LG]An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits
Andrea Tirinzoni, Matteo Pirotta, Marcello Restelli, Alessandro Lazaric
http://arxiv.org/abs/2010.12247v1
• [cs.LG]Approximation Methods for Kernelized Bandits
Sho Takemori, Masahiro Sato
http://arxiv.org/abs/2010.12167v1
• [cs.LG]BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
http://arxiv.org/abs/2010.12157v1
• [cs.LG]Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
Guangxiang Zhu, Minghao Zhang, Honglak Lee, Chongjie Zhang
http://arxiv.org/abs/2010.12142v1
• [cs.LG]Coping with Label Shift via Distributionally Robust Optimisation
Jingzhao Zhang, Aditya Menon, Andreas Veit, Srinadh Bhojanapalli, Sanjiv Kumar, Suvrit Sra
http://arxiv.org/abs/2010.12230v1
• [cs.LG]Few-shot Learning for Decoding Brain Signals
Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
http://arxiv.org/abs/2010.12500v1
• [cs.LG]Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation
Yunpeng Ren, Ziao Wang, Yiyuan Wang, Xiaofeng Zhang
http://arxiv.org/abs/2010.12188v1
• [cs.LG]Generative Neurosymbolic Machines
Jindong Jiang, Sungjin Ahn
http://arxiv.org/abs/2010.12152v1
• [cs.LG]Graph Geometry Interaction Learning
Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang
http://arxiv.org/abs/2010.12135v1
• [cs.LG]Graph Learning for Clustering Multi-view Data
Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri
http://arxiv.org/abs/2010.12301v1
• [cs.LG]Graph and graphon neural network stability
Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro
http://arxiv.org/abs/2010.12529v1
• [cs.LG]Graph-Homomorphic Perturbations for Private Decentralized Learning
Stefan Vlaski, Ali H. Sayed
http://arxiv.org/abs/2010.12288v1
• [cs.LG]GraphSpeech: Syntax-Aware Graph Attention Network For Neural Speech Synthesis
Rui Liu, Berrak Sisman, Haizhou Li
http://arxiv.org/abs/2010.12423v1
• [cs.LG]Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
Priyank Agrawal, Jinglin Chen, Nan Jiang
http://arxiv.org/abs/2010.12163v1
• [cs.LG]Learning from missing data with the Latent Block Model
Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet
http://arxiv.org/abs/2010.12222v1
• [cs.LG]Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
http://arxiv.org/abs/2010.12367v1
• [cs.LG]Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy
Alex Mansbridge, Gregory Barbour, Davide Piras, Christopher Frye, Ilya Feige, David Barber
http://arxiv.org/abs/2010.12464v1
• [cs.LG]Learning to Optimise General TSP Instances
Nasrin Sultana, Jeffrey Chan, A. K. Qin
http://arxiv.org/abs/2010.12214v1
• [cs.LG]On Evaluating Neural Network Backdoor Defenses
Akshaj Veldanda, Siddharth Garg
http://arxiv.org/abs/2010.12186v1
• [cs.LG]On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui
http://arxiv.org/abs/2010.12408v1
• [cs.LG]On the Number of Linear Functions Composing Deep Neural Network: Towards a Refined Definition of Neural Networks Complexity
Yuuki Takai, Akiyoshi Sannai, Matthieu Cordonnier
http://arxiv.org/abs/2010.12125v1
• [cs.LG]One-shot Learning for Temporal Knowledge Graphs
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan
http://arxiv.org/abs/2010.12144v1
• [cs.LG]Online Algorithm for Unsupervised Sequential Selection with Contextual Information
Arun Verma, Manjesh K. Hanawal, Csaba Szepesvári, Venkatesh Saligrama
http://arxiv.org/abs/2010.12353v1
• [cs.LG]Online Semi-Supervised Learning with Bandit Feedback
Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, DjallelBouneffouf
http://arxiv.org/abs/2010.12574v1
• [cs.LG]Population Gradients improve performance across data-sets and architectures in object classification
Yurika Sakai, Andrey Kormilitzin, Qiang Liu, Alejo Nevado-Holgado
http://arxiv.org/abs/2010.12260v1
• [cs.LG]Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilanuik, David Buckeridge, Gáetan Marceau Caron, Pierre-Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
http://arxiv.org/abs/2010.12536v1
• [cs.LG]Prediction of Temperature and Rainfall in Bangladesh using Long Short Term Memory Recurrent Neural Networks
Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Shadman Sakib, Anas Aziz, Ihtyaz Kader Tasawar, Ziad Hossain
http://arxiv.org/abs/2010.11946v1
• [cs.LG]Quantizing Multiple Sources to a Common Cluster Center: An Asymptotic Analysis
Erdem Koyuncu
http://arxiv.org/abs/2010.12546v1
• [cs.LG]Sharper convergence bounds of Monte Carlo Rademacher Averages through Self-Bounding functions
Leonardo Pellegrina
http://arxiv.org/abs/2010.12103v1
• [cs.LG]Tensor Reordering for CNN Compression
Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot
http://arxiv.org/abs/2010.12110v1
• [cs.LG]Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane Marfoq, Chuan Xu, Giovanni Neglia, Richard Vidal
http://arxiv.org/abs/2010.12229v1
• [cs.LG]Topic Space Trajectories: A case study on machine learning literature
Bastian Schäfermeier, Gerd Stumme, Tom Hanika
http://arxiv.org/abs/2010.12294v1
• [cs.LG]Train simultaneously, generalize better: Stability of gradient-based minimax learners
Farzan Farnia, Asuman Ozdaglar
http://arxiv.org/abs/2010.12561v1
• [cs.LG]Unbiased Estimation Equation under $f$-Separable Bregman Distortion Measures
Masahiro Kobayashi, Kazuho Watanabe
http://arxiv.org/abs/2010.12286v1
• [cs.MA]Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
http://arxiv.org/abs/2010.12461v1
• [cs.MA]Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams
Dave Braines, Federico Cerutti, Marc Roig Vilamala, Mani Srivastava, Lance Kaplan Alun Preece, Gavin Pearson
http://arxiv.org/abs/2010.12327v1
• [cs.NE]Fading memory echo state networks are universal
Lukas Gonon, Juan-Pablo Ortega
http://arxiv.org/abs/2010.12047v1
• [cs.NE]Quantum Superposition Spiking Neural Network
Yinqian Sun, Yi Zeng, Tielin Zhang
http://arxiv.org/abs/2010.12197v1
• [cs.RO]Atlas Fusion — Modern Framework for Autonomous Agent Sensor Data Fusion
Adam Ligocki, Ales Jelinek, Ludek Zalud
http://arxiv.org/abs/2010.11991v1
• [cs.RO]CLOUD: Contrastive Learning of Unsupervised Dynamics
Jianren Wang, Yujie Lu, Hang Zhao
http://arxiv.org/abs/2010.12488v1
• [cs.RO]Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion
Maurice Rahme, Ian Abraham, Matthew L. Elwin, Todd D. Murphey
http://arxiv.org/abs/2010.12070v1
• [cs.RO]Kinodynamic Planning for an Energy-Efficient Autonomous Ornithopter
Fabio Rodríguez, José-Miguel Díaz-Báñez, Ernesto Sanchez-Laulhe, Jesús Capitán, Aníbal Ollero
http://arxiv.org/abs/2010.12273v1
• [cs.RO]Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Simon Stepputtis, Joseph Campbell, Mariano Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor
http://arxiv.org/abs/2010.12083v1
• [cs.RO]Migratable AI: Personalizing Dialog Conversations with migration context
Ravi Tejwani, Boris Katz, Cynthia Breazeal
http://arxiv.org/abs/2010.12091v1
• [cs.RO]On the mechanical contribution of head stabilization to passive dynamics of anthropometric walkers
Mehdi Benallegue, Jean-Paul Laumond, Alain Berthoz
http://arxiv.org/abs/2010.12234v1
• [cs.RO]Robust Planning and Control for Dynamic Quadrupedal Locomotion with Adaptive Feet
Guiyang Xin, Songyan Xin, Oguzhan Cebe, Mathew Jose Pollayil, Franco Angelini, Manolo Garabini, Sethu Vijayakumar, Michael Mistry
http://arxiv.org/abs/2010.12326v1
• [cs.RO]TAMPC: A Controller for Escaping Traps in Novel Environments
Sheng Zhong, Zhenyuan Zhang, Nima Fazeli, Dmitry Berenson
http://arxiv.org/abs/2010.12516v1
• [cs.RO]Tele-operative Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients
Ryosuke Tsumura, John W. Hardin, Keshav Bimbraw, Olushola S. Odusanya, Yihao Zheng, Jeffrey C. Hill, Beatrice Hoffmann, Winston Soboyejo, Haichong K. Zhang
http://arxiv.org/abs/2010.12335v1
• [cs.RO]VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach
Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao, Yang Lyu, Thien Hoang Nguyen, Lihua Xie
http://arxiv.org/abs/2010.12274v1
• [cs.SD]Don’t shoot butterfly with rifles: Multi-channel Continuous Speech Separation with Early Exit Transformer
Sanyuan Chen, Yu Wu, Zhuo Chen, Takuya Yoshioka, Shujie Liu, Jinyu Li
http://arxiv.org/abs/2010.12180v1
• [cs.SD]EML System Description for VoxCeleb Speaker Diarization Challenge 2020
Omid Ghahabi, Volker Fischer
http://arxiv.org/abs/2010.12497v1
• [cs.SD]Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data
Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao
http://arxiv.org/abs/2010.12096v1
• [cs.SD]Transformer-based End-to-End Speech Recognition with Local Dense Synthesizer Attention
Menglong Xu, Shengqiang Li, Xiao-Lei Zhang
http://arxiv.org/abs/2010.12155v1
• [cs.SI]Origins of Algorithmic Instabilities in Crowdsourced Ranking
Keith Burghardt, Tad Hogg, Raissa M. D’Souza, Kristina Lerman, Marton Posfai
http://arxiv.org/abs/2010.12571v1
• [cs.SI]The Impact Of Noise And Topology On Opinion Dynamics In Social Networks
Samuel Stern, Giacomo Livan
http://arxiv.org/abs/2010.12491v1
• [eess.AS]Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations
Wen-Chin Huang, Yi-Chiao Wu, Tomoki Hayashi, Tomoki Toda
http://arxiv.org/abs/2010.12231v1
• [eess.AS]How Phonotactics Affect Multilingual and Zero-shot ASR Performance
Siyuan Feng, Piotr Żelasko, Laureano Moro-Velázquez, Ali Abavisani, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak
http://arxiv.org/abs/2010.12104v1
• [eess.AS]Speech enhancement aided end-to-end multi-task learning for voice activity detection
Xu Tan, Xiao-Lei Zhang
http://arxiv.org/abs/2010.12484v1
• [eess.IV]Estimation of Cardiac Valve Annuli Motion with Deep Learning
Eric Kerfoot, Carlos Escudero King, Tefvik Ismail, David Nordsletten, Renee Miller
http://arxiv.org/abs/2010.12446v1
• [eess.IV]Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising
Yali Peng, Yue Cao, Shigang Liu, Jian Yang, Wangmeng Zuo
http://arxiv.org/abs/2010.12422v1
• [eess.IV]Segmentation of the cortical plate in fetal brain MRI with a topological loss
Priscille de Dumast, Hamza Kebiri, Chirine Atat, Vincent Dunet, Mériam Koob, Meritxell Bach Cuadra
http://arxiv.org/abs/2010.12391v1
• [eess.SP]Millimeter Wave MIMO Channel Estimation with 1-bit Spatial Sigma-delta Analog-to-Digital Converters
R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri
http://arxiv.org/abs/2010.12398v1
• [eess.SP]Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation
Rick M. Bütler, Christian Häger, Henry D. Pfister, Gabriele Liga, Alex Alvarado
http://arxiv.org/abs/2010.12313v1
• [eess.SP]Network Classifiers Based on Social Learning
Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
http://arxiv.org/abs/2010.12306v1
• [eess.SY]State space models for building control: how deep should you go?
Baptiste Schubnel, Rafael E. Carrillo, Paolo Taddeo, Lluc Canals Casals, Jaume Salom, Yves Stauffer, Pierre-Jean Alet
http://arxiv.org/abs/2010.12257v1
• [math.NA]Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities
Carlo Marcati, Joost A. A. Opschoor, Philipp C. Petersen, Christoph Schwab
http://arxiv.org/abs/2010.12217v1
• [math.NA]Optimized Multivariate Polynomial Determinant on GPU
Jianjun Wei, Liangyu Chen
http://arxiv.org/abs/2010.12117v1
• [math.OC]A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
Digvijay Boob, Qi Deng, Guanghui Lan, Yilin Wang
http://arxiv.org/abs/2010.12169v1
• [math.OC]An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization
Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
http://arxiv.org/abs/2010.12133v1
• [math.OC]Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient
Andi Han, Junbin Gao
http://arxiv.org/abs/2010.12191v1
• [math.OC]Linearly Converging Error Compensated SGD
Eduard Gorbunov, Dmitry Kovalev, Dmitry Makarenko, Peter Richtárik
http://arxiv.org/abs/2010.12292v1
• [math.ST]Computationally and Statistically Efficient Truncated Regression
Constantinos Daskalakis, Themis Gouleakis, Christos Tzamos, Manolis Zampetakis
http://arxiv.org/abs/2010.12000v1
• [math.ST]Detection of groups of concomitant extremes using clustering
V. Fomichov, J. Ivanovs
http://arxiv.org/abs/2010.12372v1
• [math.ST]Fading Boundaries: On a Nonparametric Variant of the Kiefer—Weiss Problem
Michael Fauß, H. Vincent Poor
http://arxiv.org/abs/2010.12094v1
• [math.ST]Fast and Smooth Interpolation on Wasserstein Space
Sinho Chewi, Julien Clancy, Thibaut Le Gouic, Philippe Rigollet, George Stepaniants, Austin J. Stromme
http://arxiv.org/abs/2010.12101v1
• [math.ST]Finite Continuum-Armed Bandits
Solenne Gaucher
http://arxiv.org/abs/2010.12236v1
• [math.ST]Smoothing and adaptation of shifted Pólya Tree ensembles
Thibault Randrianarisoa
http://arxiv.org/abs/2010.12299v1
• [physics.geo-ph]Richter b-value maps from local moments of seismicity
M. Holschneider, K. Ferrat, G. Zöller, Ch. Molkenthin
http://arxiv.org/abs/2010.12298v1
• [physics.soc-ph]The fragility of opinion formation in a complex world
Matúš Medo, Manuel S. Mariani, Linyuan Lü
http://arxiv.org/abs/2010.12355v1
• [q-bio.NC]Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
Dongqi Han, Erik De Schutter, Sungho Hong
http://arxiv.org/abs/2010.12127v1
• [q-fin.TR]Option Hedging with Risk Averse Reinforcement Learning
Edoardo Vittori, Michele Trapletti, Marcello Restelli
http://arxiv.org/abs/2010.12245v1
• [stat.AP]A Data-driven Change-point Estimator
Stefanie Schwaar
http://arxiv.org/abs/2010.12449v1
• [stat.AP]Data Mining in Large Frequency Tables With Ontology, with an Application to the Vaccine Adverse Event Reporting System
Bangyao Zhao, Lili Zhao
http://arxiv.org/abs/2010.12471v1
• [stat.AP]Geostatistical models for zero-inflated data and extreme values
Soraia Pereira, Raquel Menezes, Maria Manuel Angélico, Tiago Marques
http://arxiv.org/abs/2010.12474v1
• [stat.AP]Statistical methods for linking geostatistical maps and transmission models: Application to lymphatic filariasis in East Africa
Panayiota Touloupou, Renata Retkute, T Deirdre Hollingsworth, Simon E. F. Spencer
http://arxiv.org/abs/2010.12383v1
• [stat.CO]No Free Lunch for Approximate MCMC
James E. Johndrow, Natesh S. Pillai, Aaron Smith
http://arxiv.org/abs/2010.12514v1
• [stat.ME]A two-part finite mixture quantile regression model for semi-continuous longitudinal data
Antonello Maruotti, Luca Merlo, Lea Petrella
http://arxiv.org/abs/2010.12521v1
• [stat.ME]Empirical Likelihood Inference for Area under the ROC Curve using Ranked Set Samples
Chul Moon, Xinlei Wang, Johan Lim
http://arxiv.org/abs/2010.12185v1
• [stat.ME]Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling
Devin S. Johnson, Brian M. Brost, Mevin B. Hooten
http://arxiv.org/abs/2010.12568v1
• [stat.ME]LowCon: A design-based subsampling approach in a misspecified linear modeL
Cheng Meng, Rui Xie, Abhyuday Mandal, Xinlian Zhang, Wenxuan Zhong, Ping Ma
http://arxiv.org/abs/2010.12178v1
• [stat.ME]The Wasserstein Impact Measure (WIM): a generally applicable, practical tool for quantifying prior impact in Bayesian statistics
Fatemeh Ghaderinezhad, Christophe Ley, Ben Serrien
http://arxiv.org/abs/2010.12522v1
• [stat.ML]An Analysis of LIME for Text Data
Dina Mardaoui, Damien Garreau
http://arxiv.org/abs/2010.12487v1
• [stat.ML]Recovery of sparse linear classifiers from mixture of responses
Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal
http://arxiv.org/abs/2010.12087v1
• [stat.ML]Regret in Online Recommendation Systems
Kaito Ariu, Narae Ryu, Se-Young Yun, Alexandre Proutière
http://arxiv.org/abs/2010.12363v1
• [stat.ML]Rescuing neural spike train models from bad MLE
Diego M. Arribas, Yuan Zhao, Il Memming Park
http://arxiv.org/abs/2010.12362v1
若有收获，就点个赞吧
0 人点赞
