cond-mat.dis-nn - 无序系统与神经网络
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.GR - 计算机图形学
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
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
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SY - 系统和控制
math.OC - 优化与控制
math.ST - 统计理论
physics.data-an - 数据分析、 统计和概率
physics.soc-ph - 物理学与社会
q-fin.RM - 风险管理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy
• [cs.AI]A geometric approach to conditioning belief functions
• [cs.AI]Exploiting Learned Policies in Focal Search
• [cs.AI]MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training
• [cs.AI]PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation
• [cs.AI]Portfolio Search and Optimization for General Strategy Game-Playing
• [cs.AI]Predicting Human Trajectories by Learning and Matching Patterns
• [cs.AI]Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables
• [cs.AI]Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling
• [cs.AI]Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
• [cs.AI]Text-Aware Predictive Monitoring of Business Processes
• [cs.AR]CodeAPeel: An Integrated and Layered Learning Technology For Computer Architecture Courses
• [cs.AR]Tackling Variabilities in Autonomous Driving
• [cs.CL]Analyzing COVID-19 Tweets with Transformer-based Language Models
• [cs.CL]Discriminative Self-training for Punctuation Prediction
• [cs.CL]Diverse and Specific Clarification Question Generation with Keywords
• [cs.CL]End-to-end Biomedical Entity Linking with Span-based Dictionary Matching
• [cs.CL]End-to-end Speech Translation via Cross-modal Progressive Training
• [cs.CL]Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition
• [cs.CL]Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance
• [cs.CL]Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
• [cs.CL]GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering
• [cs.CL]How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies
• [cs.CL]How individuals change language
• [cs.CL]Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks
• [cs.CL]Improving BERT Pretraining with Syntactic Supervision
• [cs.CL]Improving Biomedical Pretrained Language Models with Knowledge
• [cs.CL]Modeling Event Plausibility with Consistent Conceptual Abstraction
• [cs.CL]Novel Aficionados and Doppelgängers: a referential task for semantic representations of individual entities
• [cs.CL]On Sampling-Based Training Criteria for Neural Language Modeling
• [cs.CL]On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs
• [cs.CL]Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning
• [cs.CL]Sensitivity as a Complexity Measure for Sequence Classification Tasks
• [cs.CL]Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?
• [cs.CL]Text Summarization of Czech News Articles Using Named Entities
• [cs.CL]When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting
• [cs.CL]\textit{StateCensusLaws.org}: A Web Application for Consuming and Annotating Legal Discourse Learning
• [cs.CR]Covert Channel Attack to Federated Learning Systems
• [cs.CR]Evidential Cyber Threat Hunting
• [cs.CR]Network Defense is Not a Game
• [cs.CR]Towards Causal Models for Adversary Distractions
• [cs.CV]A Meta-Learning Approach for Medical Image Registration
• [cs.CV]Balanced Knowledge Distillation for Long-tailed Learning
• [cs.CV]Boundary-Aware 3D Object Detection from Point Clouds
• [cs.CV]Camouflaged Object Segmentation with Distraction Mining
• [cs.CV]Compact and Effective Representations for Sketch-based Image Retrieval
• [cs.CV]Comprehensive Multi-Modal Interactions for Referring Image Segmentation
• [cs.CV]Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching
• [cs.CV]Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation
• [cs.CV]FIERY: Future Instance Prediction in Bird’s-Eye View from Surround Monocular Cameras
• [cs.CV]Fourier Contour Embedding for Arbitrary-Shaped Text Detection
• [cs.CV]GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
• [cs.CV]Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps
• [cs.CV]Guided Table Structure Recognition through Anchor Optimization
• [cs.CV]Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection
• [cs.CV]IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
• [cs.CV]Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting
• [cs.CV]Improving Weakly-supervised Object Localization via Causal Intervention
• [cs.CV]Lifting Monocular Events to 3D Human Poses
• [cs.CV]Machine vision detection to daily facial fatigue with a nonlocal 3D attention network
• [cs.CV]Measuring economic activity from space: a case study using flying airplanes and COVID-19
• [cs.CV]Multi-Attention-Based Soft Partition Network for Vehicle Re-Identification
• [cs.CV]Orderly Dual-Teacher Knowledge Distillation for Lightweight Human Pose Estimation
• [cs.CV]PP-YOLOv2: A Practical Object Detector
• [cs.CV]Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging
• [cs.CV]Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs
• [cs.CV]Recurrent Feedback Improves Recognition of Partially Occluded Objects
• [cs.CV]Revisiting Document Representations for Large-Scale Zero-Shot Learning
• [cs.CV]Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis
• [cs.CV]SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer
• [cs.CV]SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation
• [cs.CV]SSLM: Self-Supervised Learning for Medical Diagnosis from MR Video
• [cs.CV]Shadow Generation for Composite Image in Real-world Scenes
• [cs.CV]Skimming and Scanning for Untrimmed Video Action Recognition
• [cs.CV]Soft Expectation and Deep Maximization for Image Feature Detection
• [cs.CV]Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery
• [cs.CV]Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
• [cs.CV]Towards Corruption-Agnostic Robust Domain Adaptation
• [cs.CV]Visualizing Adapted Knowledge in Domain Transfer
• [cs.CY]Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-App
• [cs.DC]A Decentralized Shared CAV System Design and Application
• [cs.DC]A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
• [cs.DC]Analysis of Distributed Average Consensus Algorithms for Robust IoT networks
• [cs.DC]Parallel Physics-Informed Neural Networks via Domain Decomposition
• [cs.DC]Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning
• [cs.GR]Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices
• [cs.GR]Voxel Structure-based Mesh Reconstruction from a 3D Point Cloud
• [cs.HC]Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset
• [cs.IR]Deep Learning for Click-Through Rate Estimation
• [cs.IR]Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs
• [cs.IR]User-oriented Fairness in Recommendation
• [cs.IT]A note on some information-theoretic divergences between Zeta distributions
• [cs.IT]FD-JCAS Techniques for mmWave HetNets: Ginibre Point Process Modeling and Analysis
• [cs.IT]How to Identify and Authenticate Users in Massive Unsourced Random Access
• [cs.IT]Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks
• [cs.IT]Stable Nonlinear and IQ Imbalance RF Fingerprint for Wireless OFDM Devices
• [cs.IT]Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis
• [cs.IT]Uplink Performance Analysis of Cell-Free mMIMO Systems under Channel Aging
• [cs.IT]Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model
• [cs.LG]A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes
• [cs.LG]A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams
• [cs.LG]A windowed correlation based feature selection method to improve time series prediction of dengue fever cases
• [cs.LG]Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
• [cs.LG]Bearings Fault Detection Using Hidden Markov Models and Principal Component Analysis Enhanced Features
• [cs.LG]Brittle Features May Help Anomaly Detection
• [cs.LG]CVLight: Deep Reinforcement Learning for Adaptive Traffic Signal Control with Connected Vehicles
• [cs.LG]Carbon Emissions and Large Neural Network Training
• [cs.LG]Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks
• [cs.LG]Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model
• [cs.LG]Concept Drift Detection from Multi-Class Imbalanced Data Streams
• [cs.LG]DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss
• [cs.LG]Deep Transform and Metric Learning Networks
• [cs.LG]Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning
• [cs.LG]Dual Head Adversarial Training
• [cs.LG]Efficient Sparse Coding using Hierarchical Riemannian Pursuit
• [cs.LG]Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning
• [cs.LG]Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks
• [cs.LG]Gradient Masked Federated Optimization
• [cs.LG]GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
• [cs.LG]Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning
• [cs.LG]Interpretation of multi-label classification models using shapley values
• [cs.LG]Jacobian Regularization for Mitigating Universal Adversarial Perturbations
• [cs.LG]Learning future terrorist targets through temporal meta-graphs
• [cs.LG]Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
• [cs.LG]Lossless Compression with Latent Variable Models
• [cs.LG]MLDS: A Dataset for Weight-Space Analysis of Neural Networks
• [cs.LG]Making Differentiable Architecture Search less local
• [cs.LG]Measuring what Really Matters: Optimizing Neural Networks for TinyML
• [cs.LG]MetricOpt: Learning to Optimize Black-Box Evaluation Metrics
• [cs.LG]Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations
• [cs.LG]More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data
• [cs.LG]Outcome-Driven Reinforcement Learning via Variational Inference
• [cs.LG]Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents
• [cs.LG]Principal Component Density Estimation for Scenario Generation Using Normalizing Flows
• [cs.LG]Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems
• [cs.LG]Robust Kernel-based Distribution Regression
• [cs.LG]Searching to Sparsify Tensor Decomposition for N-ary Relational Data
• [cs.LG]Sparse-Shot Learning for Extremely Many Localisations
• [cs.LG]Stateless Neural Meta-Learning using Second-Order Gradients
• [cs.NE]Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework
• [cs.RO]A Deep Learning Approach To Multi-Context Socially-Aware Navigation
• [cs.RO]Accelerating Surgical Robotics Research: Reviewing 10 Years of Research with the dVRK
• [cs.RO]An Overview of Federated Learning at the Edge and Distributed Ledger Technologies for Robotic and Autonomous Systems
• [cs.RO]An ontology-based approach to data exchanges for robot navigation on construction sites
• [cs.RO]Bipedal Walking on Constrained Footholds: Momentum Regulation via Vertical COM Control
• [cs.RO]Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
• [cs.RO]Custom Distribution for Sampling-Based Motion Planning
• [cs.RO]Edge and Corner Detection in Unorganized Point Clouds for Robotic Pick and Place Applications
• [cs.RO]Episodic Memory Model for Learning Robotic Manipulation Tasks
• [cs.RO]Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation
• [cs.RO]Learning and Planning for Temporally Extended Tasks in Unknown Environments
• [cs.RO]Robust Biped Locomotion Using Deep Reinforcement Learning on Top of an Analytical Control Approach
• [cs.RO]Robust shape estimation with false-positive contact detection
• [cs.RO]Semantic Navigation Using Building Information on Construction Sites
• [cs.SD]Interpreting intermediate convolutional layers of CNNs trained on raw speech
• [cs.SI]The impact of online misinformation on U.S. COVID-19 vaccinations
• [econ.EM]Automatic Double Machine Learning for Continuous Treatment Effects
• [eess.AS]Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Datasets
• [eess.AS]Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers
• [eess.IV]A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation
• [eess.IV]A Two-Stage Attentive Network for Single Image Super-Resolution
• [eess.IV]Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
• [eess.IV]Invertible Denoising Network: A Light Solution for Real Noise Removal
• [eess.IV]Programmable 3D snapshot microscopy with Fourier convolutional networks
• [eess.IV]Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs
• [eess.IV]TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution
• [eess.IV]Using CNNs for AD classification based on spatial correlation of BOLD signals during the observation
• [eess.IV]Visual Analysis Motivated Rate-Distortion Model for Image Coding
• [eess.SY]Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning
• [math.OC]Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
• [math.ST]A calculus for causal inference with instrumental variables
• [math.ST]Multiple conditional randomization tests
• [math.ST]On the Asymptotic Optimality of Cross-Validation based Hyper-parameter Estimators for Regularized Least Squares Regression Problems
• [math.ST]Portfolio Selection under Multivariate Merton Model with Correlated Jump Risk
• [math.ST]Statistical inference for generative adversarial networks
• [physics.data-an]Robust Feature Disentanglement in Imaging Data via Joint Invariant Variational Autoencoders: from Cards to Atoms
• [physics.soc-ph]Macroeconomic forecasting with statistically validated knowledge graphs
• [q-fin.RM]Backtesting Systemic Risk Forecasts using Multi-Objective Elicitability
• [stat.AP]Impact of COVID-19 on travel behaviour, transport, lifestyles and location choices in Scotland
• [stat.ME]Adjustment for Biased Sampling Using NHANES Derived Propensity Weights
• [stat.ME]Calibrated Optimal Decision Making with Multiple Data Sources and Limited Outcome
• [stat.ME]Conceptualizing experimental controls using the potential outcomes framework
• [stat.ME]Constrained Bayesian Hierarchical Models for Gaussian Data: A Model Selection Criterion Approach
• [stat.ME]GEAR: On Optimal Decision Making with Auxiliary Data
• [stat.ME]Modeling sign concordance of quantile regression residuals with multiple outcomes
• [stat.ME]Optimal Bayesian Smoothing of Functional Observations over a Large Graph
• [stat.ML]A class of network models recoverable by spectral clustering
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• [cond-mat.dis-nn]Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy
Yongtao Liu, Rama K. Vasudevan, Kyle Kelley, Dohyung Kim, Yogesh Sharma, Mahshid Ahmadi, Sergei V. Kalinin, Maxim Ziatdinov
http://arxiv.org/abs/2104.10207v1
• [cs.AI]A geometric approach to conditioning belief functions
Fabio Cuzzolin
http://arxiv.org/abs/2104.10651v1
• [cs.AI]Exploiting Learned Policies in Focal Search
Pablo Araneda, Matias Greco, Jorge Baier
http://arxiv.org/abs/2104.10535v1
• [cs.AI]MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training
Jian Ma, Shuyi Xie, Haiqin Yang, Lianxin Jiang, Mengyuan Zhou, Xiaoyi Ruan, Yang Mo
http://arxiv.org/abs/2104.10336v1
• [cs.AI]PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation
Shuyi Xie, Jian Ma, Haiqin Yang, Lianxin Jiang, Yang Mo, Jianping Shen
http://arxiv.org/abs/2104.10375v1
• [cs.AI]Portfolio Search and Optimization for General Strategy Game-Playing
Alexander Dockhorn, Jorge Hurtado-Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez-Liebana
http://arxiv.org/abs/2104.10429v1
• [cs.AI]Predicting Human Trajectories by Learning and Matching Patterns
Dapeng Zhao
http://arxiv.org/abs/2104.10241v1
• [cs.AI]Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables
Xiaoyi Ruan, Meizhi Jin, Jian Ma, Haiqin Yang, Lianxin Jiang, Yang Mo, Mengyuan Zhou
http://arxiv.org/abs/2104.10366v1
• [cs.AI]Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling
Hamed Jelodar, Richard Frank
http://arxiv.org/abs/2104.09586v2
• [cs.AI]Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng
http://arxiv.org/abs/2104.10353v1
• [cs.AI]Text-Aware Predictive Monitoring of Business Processes
Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst
http://arxiv.org/abs/2104.09962v2
• [cs.AR]CodeAPeel: An Integrated and Layered Learning Technology For Computer Architecture Courses
A. Yavuz Oruc, A. Atmaca, Y. Nevzat Sengun, A. Semi Yeniyol
http://arxiv.org/abs/2104.09502v2
• [cs.AR]Tackling Variabilities in Autonomous Driving
Yuqiong Qi, Yang Hu, Haibin Wu, Shen Li, Haiyu Mao, Xiaochun Ye, Dongrui Fan, Ninghui Sun
http://arxiv.org/abs/2104.10415v1
• [cs.CL]Analyzing COVID-19 Tweets with Transformer-based Language Models
Philip Feldman, Sim Tiwari, Charissa S. L. Cheah, James R. Foulds, Shimei Pan
http://arxiv.org/abs/2104.10259v1
• [cs.CL]Discriminative Self-training for Punctuation Prediction
Qian Chen, Wen Wang, Mengzhe Chen, Qinglin Zhang
http://arxiv.org/abs/2104.10339v1
• [cs.CL]Diverse and Specific Clarification Question Generation with Keywords
Zhiling Zhang, Kenny Q. Zhu
http://arxiv.org/abs/2104.10317v1
• [cs.CL]End-to-end Biomedical Entity Linking with Span-based Dictionary Matching
Shogo Ujiie, Hayate Iso, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
http://arxiv.org/abs/2104.10493v1
• [cs.CL]End-to-end Speech Translation via Cross-modal Progressive Training
Rong Ye, Mingxuan Wang, Lei Li
http://arxiv.org/abs/2104.10380v1
• [cs.CL]Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition
Amit Moryossef, Ioannis Tsochantaridis, Joe Dinn, Necati Cihan Camgöz, Richard Bowden, Tao Jiang, Annette Rios, Mathias Müller, Sarah Ebling
http://arxiv.org/abs/2104.10166v1
• [cs.CL]Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance
Sopan Khosla, James Fiacco, Carolyn Rose
http://arxiv.org/abs/2104.10215v1
• [cs.CL]Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
Xiao Liu, Da Yin, Yansong Feng, Yuting Wu, Dongyan Zhao
http://arxiv.org/abs/2104.09420v2
• [cs.CL]GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering
Weixin Liang, Yanhao Jiang, Zixuan Liu
http://arxiv.org/abs/2104.10283v1
• [cs.CL]How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies
Soroosh Tayebi Arasteh, Mehrpad Monajem, Vincent Christlein, Philipp Heinrich, Anguelos Nicolaou, Hamidreza Naderi Boldaji, Mahshad Lotfinia, Stefan Evert
http://arxiv.org/abs/2104.10513v1
• [cs.CL]How individuals change language
Richard A Blythe, William Croft
http://arxiv.org/abs/2104.10210v1
• [cs.CL]Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks
Lisa Bauer, Mohit Bansal
http://arxiv.org/abs/2104.10193v1
• [cs.CL]Improving BERT Pretraining with Syntactic Supervision
Giorgos Tziafas, Konstantinos Kogkalidis, Gijs Wijnholds, Michael Moortgat
http://arxiv.org/abs/2104.10516v1
• [cs.CL]Improving Biomedical Pretrained Language Models with Knowledge
Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang
http://arxiv.org/abs/2104.10344v1
• [cs.CL]Modeling Event Plausibility with Consistent Conceptual Abstraction
Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung
http://arxiv.org/abs/2104.10247v1
• [cs.CL]Novel Aficionados and Doppelgängers: a referential task for semantic representations of individual entities
Andrea Bruera, Aurélie Herbelot
http://arxiv.org/abs/2104.10270v1
• [cs.CL]On Sampling-Based Training Criteria for Neural Language Modeling
Yingbo Gao, David Thulke, Alexander Gerstenberger, Khoa Viet Tran, Ralf Schlüter, Hermann Ney
http://arxiv.org/abs/2104.10507v1
• [cs.CL]On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs
Roman Grundkiewicz, Marcin Junczys-Dowmunt, Christian Federmann, Tom Kocmi
http://arxiv.org/abs/2104.10408v1
• [cs.CL]Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning
Qian Chen, Wen Wang, Qinglin Zhang
http://arxiv.org/abs/2104.10357v1
• [cs.CL]Sensitivity as a Complexity Measure for Sequence Classification Tasks
Michael Hahn, Dan Jurafsky, Richard Futrell
http://arxiv.org/abs/2104.10343v1
• [cs.CL]Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?
Tim Isbister, Fredrik Carlsson, Magnus Sahlgren
http://arxiv.org/abs/2104.10441v1
• [cs.CL]Text Summarization of Czech News Articles Using Named Entities
Petr Marek, Štěpán Müller, Jakub Konrád, Petr Lorenc, Jan Pichl, Jan Šedivý
http://arxiv.org/abs/2104.10454v1
• [cs.CL]When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting
Vít Novotný, Michal Štefánik, Eniafe Festus Ayetiran, Petr Sojka
http://arxiv.org/abs/2104.09691v2
• [cs.CL]\textit{StateCensusLaws.org}: A Web Application for Consuming and Annotating Legal Discourse Learning
Alexander Spangher, Jonathan May
http://arxiv.org/abs/2104.10263v1
• [cs.CR]Covert Channel Attack to Federated Learning Systems
Gabriele Costa, Fabio Pinelli, Simone Soderi, Gabriele Tolomei
http://arxiv.org/abs/2104.10561v1
• [cs.CR]Evidential Cyber Threat Hunting
Frederico Araujo, Dhilung Kirat, Xiaokui Shu, Teryl Taylor, Jiyong Jang
http://arxiv.org/abs/2104.10319v1
• [cs.CR]Network Defense is Not a Game
Andres Molina-Markham, Ransom K. Winder, Ahmad Ridley
http://arxiv.org/abs/2104.10262v1
• [cs.CR]Towards Causal Models for Adversary Distractions
Ron Alford, Andy Applebaum
http://arxiv.org/abs/2104.10575v1
• [cs.CV]A Meta-Learning Approach for Medical Image Registration
Heejung Park, Gyeong Min Lee, Soopil Kim, Ga Hyung Ryu, Areum Jeong, Sang Hyun Park, Min Sagong
http://arxiv.org/abs/2104.10447v1
• [cs.CV]Balanced Knowledge Distillation for Long-tailed Learning
Shaoyu Zhang, Chen Chen, Xiyuan Hu, Silong Peng
http://arxiv.org/abs/2104.10510v1
• [cs.CV]Boundary-Aware 3D Object Detection from Point Clouds
Rui Qian, Xin Lai, Xirong Li
http://arxiv.org/abs/2104.10330v1
• [cs.CV]Camouflaged Object Segmentation with Distraction Mining
Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, Deng-Ping Fan
http://arxiv.org/abs/2104.10475v1
• [cs.CV]Compact and Effective Representations for Sketch-based Image Retrieval
Pablo Torres, Jose M. Saavedra
http://arxiv.org/abs/2104.10278v1
• [cs.CV]Comprehensive Multi-Modal Interactions for Referring Image Segmentation
Kanishk Jain, Vineet Gandhi
http://arxiv.org/abs/2104.10412v1
• [cs.CV]Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching
Shiyang Yan, Li Yu, Yuan Xie
http://arxiv.org/abs/2104.10406v1
• [cs.CV]Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation
Anis Kacem, Kseniya Cherenkova, Djamila Aouada
http://arxiv.org/abs/2104.10273v1
• [cs.CV]FIERY: Future Instance Prediction in Bird’s-Eye View from Surround Monocular Cameras
Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeff Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall
http://arxiv.org/abs/2104.10490v1
• [cs.CV]Fourier Contour Embedding for Arbitrary-Shaped Text Detection
Yiqin Zhu, Jianyong Chen, Lingyu Liang, Zhuanghui Kuang, Lianwen Jin, Wayne Zhang
http://arxiv.org/abs/2104.10442v1
• [cs.CV]GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Martin Engelcke, Oiwi Parker Jones, Ingmar Posner
http://arxiv.org/abs/2104.09958v2
• [cs.CV]Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps
Yuk Heo, Yeong Jun Koh, Chang-Su Kim
http://arxiv.org/abs/2104.10386v1
• [cs.CV]Guided Table Structure Recognition through Anchor Optimization
Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Noman Afzal, Muhammad Zeshan Afzal
http://arxiv.org/abs/2104.10538v1
• [cs.CV]Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection
Qiuchen Zhu, Tran Hiep Dinh, Manh Duong Phung, Quang Phuc Ha
http://arxiv.org/abs/2104.10511v1
• [cs.CV]IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
Jian Jiang, Edoardo Cetin, Oya Celiktutan
http://arxiv.org/abs/2104.10588v1
• [cs.CV]Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting
Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
http://arxiv.org/abs/2104.10369v1
• [cs.CV]Improving Weakly-supervised Object Localization via Causal Intervention
Feifei Shao, Yawei Luo, Li Zhang, Lu Ye, Siliang Tang, Yi Yang, Jun Xiao
http://arxiv.org/abs/2104.10351v1
• [cs.CV]Lifting Monocular Events to 3D Human Poses
Gianluca Scarpellini, Pietro Morerio, Alessio Del Bue
http://arxiv.org/abs/2104.10609v1
• [cs.CV]Machine vision detection to daily facial fatigue with a nonlocal 3D attention network
Zeyu Chen, Xinhang Zhang, Juan Li, Jingxuan Ni, Gang Chen, Shaohua Wang, Fangfang Fan, Changfeng Charles Wang, Xiaotao Li
http://arxiv.org/abs/2104.10420v1
• [cs.CV]Measuring economic activity from space: a case study using flying airplanes and COVID-19
Mauricio Pamplona Segundo, Allan Pinto, Rodrigo Minetto, Ricardo da Silva Torres, Sudeep Sarkar
http://arxiv.org/abs/2104.10345v1
• [cs.CV]Multi-Attention-Based Soft Partition Network for Vehicle Re-Identification
Sangrok Lee, Taekang Woo, Sang Hun Lee
http://arxiv.org/abs/2104.10401v1
• [cs.CV]Orderly Dual-Teacher Knowledge Distillation for Lightweight Human Pose Estimation
Zhong-Qiu Zhao, Yao Gao, Yuchen Ge, Weidong Tian
http://arxiv.org/abs/2104.10414v1
• [cs.CV]PP-YOLOv2: A Practical Object Detector
Xin Huang, Xinxin Wang, Wenyu Lv, Xiaying Bai, Xiang Long, Kaipeng Deng, Qingqing Dang, Shumin Han, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma, Osamu Yoshie
http://arxiv.org/abs/2104.10419v1
• [cs.CV]Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging
Samim Ahmadi, Linh Kästner, Jan Christian Hauffen, Peter Jung, Mathias Ziegler
http://arxiv.org/abs/2104.10563v1
• [cs.CV]Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs
Max Hermann, Boitumelo Ruf, Martin Weinmann
http://arxiv.org/abs/2104.10515v1
• [cs.CV]Recurrent Feedback Improves Recognition of Partially Occluded Objects
Markus Roland Ernst, Jochen Triesch, Thomas Burwick
http://arxiv.org/abs/2104.10615v1
• [cs.CV]Revisiting Document Representations for Large-Scale Zero-Shot Learning
Jihyung Kil, Wei-Lun Chao
http://arxiv.org/abs/2104.10355v1
• [cs.CV]Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis
Samuele Poppi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
http://arxiv.org/abs/2104.10252v1
• [cs.CV]SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer
Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan
http://arxiv.org/abs/2104.10567v1
• [cs.CV]SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation
Sanghyun Son, Kyoung Mu Lee
http://arxiv.org/abs/2104.10325v1
• [cs.CV]SSLM: Self-Supervised Learning for Medical Diagnosis from MR Video
Siladittya Manna, Saumik Bhattacharya, Umapada Pal
http://arxiv.org/abs/2104.10481v1
• [cs.CV]Shadow Generation for Composite Image in Real-world Scenes
Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang
http://arxiv.org/abs/2104.10338v1
• [cs.CV]Skimming and Scanning for Untrimmed Video Action Recognition
Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu
http://arxiv.org/abs/2104.10492v1
• [cs.CV]Soft Expectation and Deep Maximization for Image Feature Detection
Alexander Mai, Allen Yang, Dominique E. Meyer
http://arxiv.org/abs/2104.10291v1
• [cs.CV]Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery
Saba Dadsetan, David Pichler, David Wilson, Naira Hovakimyan, Jennifer Hobbs
http://arxiv.org/abs/2104.10249v1
• [cs.CV]Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng
http://arxiv.org/abs/2104.10642v1
• [cs.CV]Towards Corruption-Agnostic Robust Domain Adaptation
Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu
http://arxiv.org/abs/2104.10376v1
• [cs.CV]Visualizing Adapted Knowledge in Domain Transfer
Yunzhong Hou, Liang Zheng
http://arxiv.org/abs/2104.10602v1
• [cs.CY]Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-App
Felix Beierle, Uttam Dhakal, Caroline Cohrdes, Sophie Eicher, Rüdiger Pryss
http://arxiv.org/abs/2104.10550v1
• [cs.DC]A Decentralized Shared CAV System Design and Application
Sayed Mehdi Meshkani, Bilal Farooq
http://arxiv.org/abs/2104.10022v1
• [cs.DC]A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
Jiehan Zhou, Shouhua Zhang, Qinghua Lu, Wenbin Dai, Min Chen, Xin Liu, Susanna Pirttikangas, Yang Shi, Weishan Zhang, Enrique Herrera-Viedma
http://arxiv.org/abs/2104.10501v1
• [cs.DC]Analysis of Distributed Average Consensus Algorithms for Robust IoT networks
Sateeshkrishna Dhuli, Fouzul Atik
http://arxiv.org/abs/2104.10407v1
• [cs.DC]Parallel Physics-Informed Neural Networks via Domain Decomposition
Khemraj Shukla, Ameya D. Jagtap, George Em Karniadakis
http://arxiv.org/abs/2104.10013v2
• [cs.DC]Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning
Shijian Li, Oren Mangoubi, Lijie Xu, Tian Guo
http://arxiv.org/abs/2104.08364v2
• [cs.GR]Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices
Cho-Ying Wu, Ke Xu, Chin-Cheng Hsu, Ulrich Neumann
http://arxiv.org/abs/2104.10299v1
• [cs.GR]Voxel Structure-based Mesh Reconstruction from a 3D Point Cloud
Chenlei Lv, Weisi Lin, Baoquan Zhao
http://arxiv.org/abs/2104.10622v1
• [cs.HC]Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset
Dillon Lohr, Henry Griffith, Oleg V Komogortsev
http://arxiv.org/abs/2104.10489v1
• [cs.IR]Deep Learning for Click-Through Rate Estimation
Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
http://arxiv.org/abs/2104.10584v1
• [cs.IR]Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs
Tingtian Li, Zixun Sun, Haoruo Zhang, Jin Li, Ziming Wu, Hui Zhan, Yipeng Yu, Hengcan Shi
http://arxiv.org/abs/2104.10557v1
• [cs.IR]User-oriented Fairness in Recommendation
Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
http://arxiv.org/abs/2104.10671v1
• [cs.IT]A note on some information-theoretic divergences between Zeta distributions
Frank Nielsen
http://arxiv.org/abs/2104.10548v1
• [cs.IT]FD-JCAS Techniques for mmWave HetNets: Ginibre Point Process Modeling and Analysis
Christodoulos Skouroumounis, Constantinos Psomas, Ioannis Krikidis
http://arxiv.org/abs/2104.10418v1
• [cs.IT]How to Identify and Authenticate Users in Massive Unsourced Random Access
Radosław Kotaba, Anders E. Kalør, Petar Popovski, Israel Leyva-Mayorga, Beatriz Soret, Maxime Guillaud, Luis G. Ordóñez
http://arxiv.org/abs/2104.10576v1
• [cs.IT]Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks
Omid Esrafilian, Harald Bayerlein, David Gesbert
http://arxiv.org/abs/2104.10403v1
• [cs.IT]Stable Nonlinear and IQ Imbalance RF Fingerprint for Wireless OFDM Devices
Honglin Yuan, Jiangzhou Wang, Chen Xu, Juping Gu, Qiang Sun, Yan Yan, Zhihua Bao
http://arxiv.org/abs/2104.10397v1
• [cs.IT]Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis
Zezhong Zhang, Guangxu Zhu, Rui Wang, Vincent K. N. Lau, Kaibin Huang
http://arxiv.org/abs/2104.10095v2
• [cs.IT]Uplink Performance Analysis of Cell-Free mMIMO Systems under Channel Aging
Ribhu Chopra, Chandra R. Murthy, Anastasios K. Papazafeiropoulos
http://arxiv.org/abs/2104.10404v1
• [cs.IT]Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model
Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Xiaohui Peng, Tony Xiao Han
http://arxiv.org/abs/2104.10378v1
• [cs.LG]A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes
Zhengyong Chen, Hongde Wu, Noel E. O’Connor, Mingming Liu
http://arxiv.org/abs/2104.10644v1
• [cs.LG]A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams
Li Yang, Abdallah Shami
http://arxiv.org/abs/2104.10529v1
• [cs.LG]A windowed correlation based feature selection method to improve time series prediction of dengue fever cases
Tanvir Ferdousi, Lee W. Cohnstaedt, Caterina M. Scoglio
http://arxiv.org/abs/2104.10289v1
• [cs.LG]Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon
http://arxiv.org/abs/2104.10201v1
• [cs.LG]Bearings Fault Detection Using Hidden Markov Models and Principal Component Analysis Enhanced Features
Akthem Rehab, Islam Ali, Walid Gomaa, M. Nashat Fors
http://arxiv.org/abs/2104.10519v1
• [cs.LG]Brittle Features May Help Anomaly Detection
Kimberly T. Mai, Toby Davies, Lewis D. Griffin
http://arxiv.org/abs/2104.10453v1
• [cs.LG]CVLight: Deep Reinforcement Learning for Adaptive Traffic Signal Control with Connected Vehicles
Wangzhi Li, Yaxing Cai, Ujwal Dinesha, Yongjie Fu, Xuan Di
http://arxiv.org/abs/2104.10340v1
• [cs.LG]Carbon Emissions and Large Neural Network Training
David Patterson, Joseph Gonzalez, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David So, Maud Texier, Jeff Dean
http://arxiv.org/abs/2104.10350v1
• [cs.LG]Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks
Bingyang Wen, Luis Oliveros Colon, K. P. Subbalakshmi, R. Chandramouli
http://arxiv.org/abs/2104.10680v1
• [cs.LG]Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model
Aravinda Ramakrishnan Srinivasan, Mohamed Hasan, Yi-Shin Lin, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula
http://arxiv.org/abs/2104.10496v1
• [cs.LG]Concept Drift Detection from Multi-Class Imbalanced Data Streams
Łukasz Korycki, Bartosz Krawczyk
http://arxiv.org/abs/2104.10228v1
• [cs.LG]DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss
Jokin Labaien, Ekhi Zugasti, Xabier De Carlos
http://arxiv.org/abs/2104.09062v2
• [cs.LG]Deep Transform and Metric Learning Networks
Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
http://arxiv.org/abs/2104.10329v1
• [cs.LG]Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning
Leandro M. de Lima, Renato A. Krohling
http://arxiv.org/abs/2104.10258v1
• [cs.LG]Dual Head Adversarial Training
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
http://arxiv.org/abs/2104.10377v1
• [cs.LG]Efficient Sparse Coding using Hierarchical Riemannian Pursuit
Ye Xue, Vincent Lau, Songfu Cai
http://arxiv.org/abs/2104.10314v1
• [cs.LG]Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning
Dushyant Sahoo, Christos Davatzikos
http://arxiv.org/abs/2104.10255v1
• [cs.LG]Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks
Chenxin Xu, Rong Xia, Yong Xiao, Yingyu Li, Guangming Shi, Kwang-cheng Chen
http://arxiv.org/abs/2104.10400v1
• [cs.LG]Gradient Masked Federated Optimization
Irene Tenison, Sreya Francis, Irina Rish
http://arxiv.org/abs/2104.10322v1
• [cs.LG]GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Houyi Li, Yongchao Liu, Yongyong Li, Bin Huang, Peng Zhang, Guowei Zhang, Xintan Zeng, Kefeng Deng, Wenguang Chen, Changhua He
http://arxiv.org/abs/2104.10569v1
• [cs.LG]Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
http://arxiv.org/abs/2104.10461v1
• [cs.LG]Interpretation of multi-label classification models using shapley values
Shikun Chen
http://arxiv.org/abs/2104.10505v1
• [cs.LG]Jacobian Regularization for Mitigating Universal Adversarial Perturbations
Kenneth T. Co, David Martinez Rego, Emil C. Lupu
http://arxiv.org/abs/2104.10459v1
• [cs.LG]Learning future terrorist targets through temporal meta-graphs
Gian Maria Campedelli, Mihovil Bartulovic, Kathleen M. Carley
http://arxiv.org/abs/2104.10398v1
• [cs.LG]Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng
http://arxiv.org/abs/2104.10424v1
• [cs.LG]Lossless Compression with Latent Variable Models
James Townsend
http://arxiv.org/abs/2104.10544v1
• [cs.LG]MLDS: A Dataset for Weight-Space Analysis of Neural Networks
John Clemens
http://arxiv.org/abs/2104.10555v1
• [cs.LG]Making Differentiable Architecture Search less local
Erik Bodin, Federico Tomasi, Zhenwen Dai
http://arxiv.org/abs/2104.10450v1
• [cs.LG]Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim, Andreas Biri, Zhongnan Qu, Lothar Thiele
http://arxiv.org/abs/2104.10645v1
• [cs.LG]MetricOpt: Learning to Optimize Black-Box Evaluation Metrics
Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh Susskind
http://arxiv.org/abs/2104.10631v1
• [cs.LG]Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations
Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan Goldhahn
http://arxiv.org/abs/2104.10586v1
• [cs.LG]More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data
Saul Calderon-Ramirez, Luis Oala
http://arxiv.org/abs/2104.10223v1
• [cs.LG]Outcome-Driven Reinforcement Learning via Variational Inference
Tim G. J. Rudner, Vitchyr H. Pong, Rowan McAllister, Yarin Gal, Sergey Levine
http://arxiv.org/abs/2104.10190v1
• [cs.LG]Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
http://arxiv.org/abs/2104.10610v1
• [cs.LG]Principal Component Density Estimation for Scenario Generation Using Normalizing Flows
Eike Cramer, Alexander Mitsos, Raul Tempone, Manuel Dahmen
http://arxiv.org/abs/2104.10410v1
• [cs.LG]Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems
Alvaro Cabrejas-Egea, Raymond Zhang, Neil Walton
http://arxiv.org/abs/2104.10455v1
• [cs.LG]Robust Kernel-based Distribution Regression
Zhan Yu, Daniel W. C. Ho, Ding-Xuan Zhou
http://arxiv.org/abs/2104.10637v1
• [cs.LG]Searching to Sparsify Tensor Decomposition for N-ary Relational Data
Shimin Di, Quanming Yao, Lei Chen
http://arxiv.org/abs/2104.10625v1
• [cs.LG]Sparse-Shot Learning for Extremely Many Localisations
Andreas Panteli, Jonas Teuwen, Hugo Horlings, Efstratios Gavves
http://arxiv.org/abs/2104.10425v1
• [cs.LG]Stateless Neural Meta-Learning using Second-Order Gradients
Mike Huisman, Aske Plaat, Jan N. van Rijn
http://arxiv.org/abs/2104.10527v1
• [cs.NE]Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework
Ryoji Tanabe
http://arxiv.org/abs/2104.10301v1
• [cs.RO]A Deep Learning Approach To Multi-Context Socially-Aware Navigation
Santosh Balajee Banisetty, Vineeth Rajamohan, Fausto Vega, David Feil-Seifer
http://arxiv.org/abs/2104.10197v1
• [cs.RO]Accelerating Surgical Robotics Research: Reviewing 10 Years of Research with the dVRK
Claudia D’Ettorre, Andrea Mariani, Agostino Stilli, Ferdinando Rodriguez y Baena, Pietro Valdastri, Anton Deguet, Peter Kazanzides, Russell H. Taylor, Gregory S. Fischer, Simon P. DiMaio, Arianna Menciassi, Danail Stoyanov
http://arxiv.org/abs/2104.09869v2
• [cs.RO]An Overview of Federated Learning at the Edge and Distributed Ledger Technologies for Robotic and Autonomous Systems
Yu Xianjia, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund
http://arxiv.org/abs/2104.10141v2
• [cs.RO]An ontology-based approach to data exchanges for robot navigation on construction sites
Sina Karimi, Ivanka Iordanova, David St-Onge
http://arxiv.org/abs/2104.10239v1
• [cs.RO]Bipedal Walking on Constrained Footholds: Momentum Regulation via Vertical COM Control
Min Dai, Xiaobin Xiong, Aaron Ames
http://arxiv.org/abs/2104.10367v1
• [cs.RO]Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine
http://arxiv.org/abs/2104.10558v1
• [cs.RO]Custom Distribution for Sampling-Based Motion Planning
Gabriel O. Flores-Aquino, J. Irving Vasquez-Gomez, O. Octavio Gutierrez-Frias
http://arxiv.org/abs/2104.10292v1
• [cs.RO]Edge and Corner Detection in Unorganized Point Clouds for Robotic Pick and Place Applications
Mohit Vohra, Ravi Prakash, Laxmidhar Behera
http://arxiv.org/abs/2104.09099v2
• [cs.RO]Episodic Memory Model for Learning Robotic Manipulation Tasks
Sanaz Behbahani, Siddharth Chhatpar, Said Zahrai, Vishakh Duggal, Mohak Sukhwani
http://arxiv.org/abs/2104.10218v1
• [cs.RO]Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation
Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira
http://arxiv.org/abs/2104.10674v1
• [cs.RO]Learning and Planning for Temporally Extended Tasks in Unknown Environments
Christopher Bradley, Adam Pacheck, Gregory Stein, Sebastian Castro, Hadas Kress-Gazit, Nicholas Roy
http://arxiv.org/abs/2104.10636v1
• [cs.RO]Robust Biped Locomotion Using Deep Reinforcement Learning on Top of an Analytical Control Approach
Mohammadreza Kasaei, Miguel Abreu, Nuno Lau, Artur Pereira, Luis Paulo Reis
http://arxiv.org/abs/2104.10592v1
• [cs.RO]Robust shape estimation with false-positive contact detection
Kazuki Shibata, Tatsuya Miyano, Tomohiko Jimbo, Takamitsu Matsubara
http://arxiv.org/abs/2104.10318v1
• [cs.RO]Semantic Navigation Using Building Information on Construction Sites
Sina Karimi, Rafael Gomes Braga, Ivanka Iordanova, David St-Onge
http://arxiv.org/abs/2104.10296v1
• [cs.SD]Interpreting intermediate convolutional layers of CNNs trained on raw speech
Gašper Beguš, Alan Zhou
http://arxiv.org/abs/2104.09489v2
• [cs.SI]The impact of online misinformation on U.S. COVID-19 vaccinations
Francesco Pierri, Brea Perry, Matthew R. DeVerna, Kai-Cheng Yang, Alessandro Flammini, Filippo Menczer, John Bryden
http://arxiv.org/abs/2104.10635v1
• [econ.EM]Automatic Double Machine Learning for Continuous Treatment Effects
Sylvia Klosin
http://arxiv.org/abs/2104.10334v1
• [eess.AS]Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Datasets
Gabriel Mittag, Saman Zadtootaghaj, Thilo Michael, Babak Naderi, Sebastian Möller
http://arxiv.org/abs/2104.10217v1
• [eess.AS]Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers
Yusuke Kida, Tatsuya Komatsu, Masahito Togami
http://arxiv.org/abs/2104.10328v1
• [eess.IV]A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation
Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu
http://arxiv.org/abs/2104.10326v1
• [eess.IV]A Two-Stage Attentive Network for Single Image Super-Resolution
Jiqing Zhang, Chengjiang Long, Yuxin Wang, Haiyin Piao, Haiyang Mei, Xin Yang, Baocai Yin
http://arxiv.org/abs/2104.10488v1
• [eess.IV]Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie Harmon, Evrim Turkbey, Baris Turkbey, Bradford Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan Yuille, Holger Roth
http://arxiv.org/abs/2104.10195v1
• [eess.IV]Invertible Denoising Network: A Light Solution for Real Noise Removal
Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina Caldwell, Tom Gedeon
http://arxiv.org/abs/2104.10546v1
• [eess.IV]Programmable 3D snapshot microscopy with Fourier convolutional networks
Diptodip Deb, Zhenfei Jiao, Alex B. Chen, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga
http://arxiv.org/abs/2104.10611v1
• [eess.IV]Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs
Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng
http://arxiv.org/abs/2104.10553v1
• [eess.IV]TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution
Fayaz Ali Dharejo, Farah Deeba, Yuanchun Zhou, Bhagwan Das, Munsif Ali Jatoi, Muhammad Zawish, Yi Du, Xuezhi Wang
http://arxiv.org/abs/2104.10268v1
• [eess.IV]Using CNNs for AD classification based on spatial correlation of BOLD signals during the observation
Nazanin Beheshti, Lennart Johnsson
http://arxiv.org/abs/2104.10596v1
• [eess.IV]Visual Analysis Motivated Rate-Distortion Model for Image Coding
Zhimeng Huang, Chuanmin Jia, Shanshe Wang, Siwei Ma
http://arxiv.org/abs/2104.10315v1
• [eess.SY]Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning
Zikang Xiong, Suresh Jagannathan
http://arxiv.org/abs/2104.10219v1
• [math.OC]Fixed-Point and Objective Convergence of Plug-and-Play Algorithms
Pravin Nair, Ruturaj G. Gavaskar, Kunal N. Chaudhury
http://arxiv.org/abs/2104.10348v1
• [math.ST]A calculus for causal inference with instrumental variables
Wing Hung Wong
http://arxiv.org/abs/2104.10633v1
• [math.ST]Multiple conditional randomization tests
Yao Zhang, Qingyuan Zhao
http://arxiv.org/abs/2104.10618v1
• [math.ST]On the Asymptotic Optimality of Cross-Validation based Hyper-parameter Estimators for Regularized Least Squares Regression Problems
Biqiang Mu, Tianshi Chen, Lennart Ljung
http://arxiv.org/abs/2104.10471v1
• [math.ST]Portfolio Selection under Multivariate Merton Model with Correlated Jump Risk
Bahareh Afhami, Mohsen Rezapour, Mohsen Madadi, Vahed Maroufy
http://arxiv.org/abs/2104.10240v1
• [math.ST]Statistical inference for generative adversarial networks
Mika Meitz
http://arxiv.org/abs/2104.10601v1
• [physics.data-an]Robust Feature Disentanglement in Imaging Data via Joint Invariant Variational Autoencoders: from Cards to Atoms
Maxim Ziatdinov, Sergei Kalinin
http://arxiv.org/abs/2104.10180v1
• [physics.soc-ph]Macroeconomic forecasting with statistically validated knowledge graphs
Sonja Tilly, Giacomo Livan
http://arxiv.org/abs/2104.10457v1
• [q-fin.RM]Backtesting Systemic Risk Forecasts using Multi-Objective Elicitability
Tobias Fissler, Yannick Hoga
http://arxiv.org/abs/2104.10673v1
• [stat.AP]Impact of COVID-19 on travel behaviour, transport, lifestyles and location choices in Scotland
Lucy Downey, Achille Fonzone, Grigorios Fountas, Torran Semple
http://arxiv.org/abs/2104.10440v1
• [stat.ME]Adjustment for Biased Sampling Using NHANES Derived Propensity Weights
Olivia M. Bernstein, Brian G. Vegetabile, Christian R. Salazar, Joshua D. Grill, Daniel L. Gillen
http://arxiv.org/abs/2104.10298v1
• [stat.ME]Calibrated Optimal Decision Making with Multiple Data Sources and Limited Outcome
Hengrui Cai, Wenbin Lu, Rui Song
http://arxiv.org/abs/2104.10554v1
• [stat.ME]Conceptualizing experimental controls using the potential outcomes framework
Kristen B. Hunter, Kristen Koenig, Marie-Abèle Bind
http://arxiv.org/abs/2104.10302v1
• [stat.ME]Constrained Bayesian Hierarchical Models for Gaussian Data: A Model Selection Criterion Approach
Qingying Zong, Jonathan R. Bradley
http://arxiv.org/abs/2104.10222v1
• [stat.ME]GEAR: On Optimal Decision Making with Auxiliary Data
Hengrui Cai, Rui Song, Wenbin Lu
http://arxiv.org/abs/2104.10573v1
• [stat.ME]Modeling sign concordance of quantile regression residuals with multiple outcomes
Silvia Columbu, Paolo Frumento, Matteo Bottai
http://arxiv.org/abs/2104.10436v1
• [stat.ME]Optimal Bayesian Smoothing of Functional Observations over a Large Graph
Arkaprava Roy, Shubhashis Ghosal
http://arxiv.org/abs/2104.10335v1
• [stat.ML]A class of network models recoverable by spectral clustering
Yali Wan, Marina Meila