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

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

    • [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

    http://arxiv.org/abs/2104.10347v1