cs.AI - 人工智能

    cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.GR - 群论 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.med-ph - 医学物理学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Actionable Cognitive Twins for Decision Making in Manufacturing
    • [cs.AI]Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction
    • [cs.AI]Goal Seeking Quadratic Unconstrained Binary Optimization
    • [cs.AI]Truth and Subjunctive Theories of Knowledge: No Luck?
    • [cs.CG]A Multi-parameter Persistence Framework for Mathematical Morphology
    • [cs.CL]Are Multilingual Models Effective in Code-Switching?
    • [cs.CL]Complex Factoid Question Answering with a Free-Text Knowledge Graph
    • [cs.CL]Czert — Czech BERT-like Model for Language Representation
    • [cs.CL]Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer
    • [cs.CL]Finetuning Pretrained Transformers into RNNs
    • [cs.CL]Finnish Paraphrase Corpus
    • [cs.CL]Language learnability in the limit for general metrics: a Gold-Angluin result
    • [cs.CL]Low-Resource Machine Translation for Low-Resource Languages: Leveraging Comparable Data, Code-Switching and Compute Resources
    • [cs.CL]Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases
    • [cs.CL]Repairing Pronouns in Translation with BERT-Based Post-Editing
    • [cs.CL]Representing Numbers in NLP: a Survey and a Vision
    • [cs.CL]TeCoMiner: Topic Discovery Through Term Community Detection
    • [cs.CL]Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2
    • [cs.CL]Topic Modeling Genre: An Exploration of French Classical and Enlightenment Drama
    • [cs.CL]Towards a Formal Model of Narratives
    • [cs.CL]UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
    • [cs.CL]Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning
    • [cs.CL]When Word Embeddings Become Endangered
    • [cs.CR]Black-box Detection of Backdoor Attacks with Limited Information and Data
    • [cs.CR]Detecting Phishing Sites — An Overview
    • [cs.CR]Watermark Faker: Towards Forgery of Digital Image Watermarking
    • [cs.CV]A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios
    • [cs.CV]AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild
    • [cs.CV]Adversarial Feature Stacking for Accurate and Robust Predictions
    • [cs.CV]Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition
    • [cs.CV]AutoMix: Unveiling the Power of Mixup
    • [cs.CV]Benchmarking Deep Trackers on Aerial Videos
    • [cs.CV]Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas
    • [cs.CV]BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
    • [cs.CV]Can Vision Transformers Learn without Natural Images?
    • [cs.CV]Co-matching: Combating Noisy Labels by Augmentation Anchoring
    • [cs.CV]Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization
    • [cs.CV]DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation
    • [cs.CV]DNN Quantization with Attention
    • [cs.CV]DRO: Deep Recurrent Optimizer for Structure-from-Motion
    • [cs.CV]Dynamic Slimmable Network
    • [cs.CV]Efficient Regional Memory Network for Video Object Segmentation
    • [cs.CV]Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
    • [cs.CV]FakeMix Augmentation Improves Transparent Object Detection
    • [cs.CV]From Shadow Generation to Shadow Removal
    • [cs.CV]Generic Merging of Structure from Motion Maps with a Low Memory Footprint
    • [cs.CV]Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data
    • [cs.CV]Industrial Machine Tool Component Surface Defect Dataset
    • [cs.CV]Jo-SRC: A Contrastive Approach for Combating Noisy Labels
    • [cs.CV]Learning Fine-Grained Segmentation of 3D Shapes without Part Labels
    • [cs.CV]Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images
    • [cs.CV]Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
    • [cs.CV]Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
    • [cs.CV]Learning Versatile Neural Architectures by Propagating Network Codes
    • [cs.CV]M3DSSD: Monocular 3D Single Stage Object Detector
    • [cs.CV]MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation
    • [cs.CV]MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation
    • [cs.CV]MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
    • [cs.CV]Multi-view 3D Reconstruction with Transformer
    • [cs.CV]Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise
    • [cs.CV]Object Localization Through a Single Multiple-Model Convolutional Neural Network with a Specific Training Approach
    • [cs.CV]On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
    • [cs.CV]On a realization of motion and similarity group equivalence classes of labeled points in 今日学术视野(2021.3.26) - 图1 with applications to computer vision
    • [cs.CV]One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video
    • [cs.CV]One-Shot GAN: Learning to Generate Samples from Single Images and Videos
    • [cs.CV]PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation
    • [cs.CV]RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation
    • [cs.CV]Region Similarity Representation Learning
    • [cs.CV]Relation-aware Instance Refinement for Weakly Supervised Visual Grounding
    • [cs.CV]Repetitive Activity Counting by Sight and Sound
    • [cs.CV]Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning
    • [cs.CV]SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms
    • [cs.CV]SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
    • [cs.CV]Scene-Intuitive Agent for Remote Embodied Visual Grounding
    • [cs.CV]Shift-and-Balance Attention
    • [cs.CV]Structure-Aware Face Clustering on a Large-Scale Graph with 今日学术视野(2021.3.26) - 图2 Nodes
    • [cs.CV]Structured Co-reference Graph Attention for Video-grounded Dialogue
    • [cs.CV]Teacher-Explorer-Student Learning: A Novel Learning Method for Open Set Recognition
    • [cs.CV]Temporal Context Aggregation Network for Temporal Action Proposal Refinement
    • [cs.CV]The Blessings of Unlabeled Background in Untrimmed Videos
    • [cs.CV]VLGrammar: Grounded Grammar Induction of Vision and Language
    • [cs.CV]Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation
    • [cs.CV]Vulnerability of Appearance-based Gaze Estimation
    • [cs.CV]W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality
    • [cs.CV]Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency
    • [cs.CV]X-view: Non-egocentric Multi-View 3D Object Detector
    • [cs.CY]Human Factors in Security Research: Lessons Learned from 2008-2018
    • [cs.DC]A Multi-Tenant Framework for Cloud Container Services
    • [cs.DC]An Approach for the Automation of IaaS Cloud Upgrade
    • [cs.DC]Distributed Learning for Melanoma Classification using Personal Health Train
    • [cs.DC]Power Modeling for Effective Datacenter Planning and Compute Management
    • [cs.DC]RDMA is Turing complete, we just did not know it yet!
    • [cs.DC]SCHeMa: Scheduling Scientific Containers on a Cluster of Heterogeneous Machines
    • [cs.DC]Towards Accommodating Real-time Jobs on HPC Platforms
    • [cs.DL]Ground Truths for the Humanities
    • [cs.GT]Facility Reallocation on the Line
    • [cs.IR]CSFCube — A Test Collection of Computer Science Research Articles for Faceted Query by Example
    • [cs.IR]From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search
    • [cs.IR]Web Mining for Estimating Regulatory Blockchain Readiness
    • [cs.IT]A Message Passing based Adaptive PDA Algorithm for Robust Radio-based Localization and Tracking
    • [cs.IT]Analysis of QoS in Heterogeneous Networks with Clustered Deployment and Caching Aware Capacity Allocation
    • [cs.IT]Cross-layer based intermittent jamming schemes for securing energy-constraint networks
    • [cs.IT]Energy-Efficient Resource Allocation in Massive MIMO-NOMA Networks with Wireless Power Transfer: A Distributed ADMM Approach
    • [cs.IT]Information Freshness Analysis of Slotted ALOHA in Gilbert-Elliot Channels
    • [cs.IT]Note on the offspring distribution for group testing in the linear regime
    • [cs.IT]Outage Probability Expressions for an IRS-Assisted System with and without Source-Destination Link for the Case of Quantized Phase Shifts
    • [cs.IT]Quantized Corrupted Sensing with Random Dithering
    • [cs.LG]A High-order Tuner for Accelerated Learning and Control
    • [cs.LG]A VAE-Based Bayesian Bidirectional LSTM for Renewable Energy Forecasting
    • [cs.LG]Bag of Tricks of Semi-Supervised Classification with Graph Neural Networks
    • [cs.LG]Bandit Learning for Dynamic Colonel Blotto Game with a Budget Constraint
    • [cs.LG]Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation
    • [cs.LG]Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving
    • [cs.LG]Detecting micro fractures with X-ray computed tomography
    • [cs.LG]Discriminator Augmented Model-Based Reinforcement Learning
    • [cs.LG]Embracing the Disharmony in Heterogeneous Medical Data
    • [cs.LG]FastMoE: A Fast Mixture-of-Expert Training System
    • [cs.LG]Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop
    • [cs.LG]Graph Representation Learning by Ensemble Aggregating Subgraphs via Mutual Information Maximization
    • [cs.LG]Improved Estimation of Concentration Under 今日学术视野(2021.3.26) - 图3-Norm Distance Metrics Using Half Spaces
    • [cs.LG]Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability
    • [cs.LG]Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis
    • [cs.LG]Knowledge-aware Contrastive Molecular Graph Learning
    • [cs.LG]MIcro-Surgical Anastomose Workflow recognition challenge report
    • [cs.LG]Machine Learning based Indicators to Enhance Process Monitoring by Pattern Recognition
    • [cs.LG]Meta-Learned Invariant Risk Minimization
    • [cs.LG]Minimax Regret for Stochastic Shortest Path
    • [cs.LG]Multi-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity
    • [cs.LG]Neural Architecture Search From Fréchet Task Distance
    • [cs.LG]On Sequential Bayesian Optimization with Pairwise Comparison
    • [cs.LG]Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
    • [cs.LG]Supporting Clustering with Contrastive Learning
    • [cs.LG]The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication
    • [cs.LG]Unsupervised collaborative learning using privileged information
    • [cs.LG]Using Meta-learning to Recommend Process Discovery Methods
    • [cs.LG]Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling
    • [cs.MA]A Review & Framework for Modeling Complex Engineered System Development Process
    • [cs.NI]Fully-echoed Q-routing with Simulated Annealing Inference for Flying Adhoc Networks
    • [cs.RO]A New Paradigm of Threats in Robotics Behaviors
    • [cs.RO]A Survey of Distributed Optimization Methods for Multi-Robot Systems
    • [cs.RO]Anytime informed path re-planning and optimization for robots in changing environments
    • [cs.RO]Behavior coordination for self-adaptive robots using constraint-based configuration
    • [cs.RO]CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL
    • [cs.RO]Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition
    • [cs.RO]Distributed Visual-Inertial Cooperative Localization
    • [cs.RO]Dual Online Stein Variational Inference for Control and Dynamics
    • [cs.RO]End-Effector Stabilization of a 10-DOF Mobile Manipulator using Nonlinear Model Predictive Control
    • [cs.RO]Exercise with Social Robots: Companion or Coach?
    • [cs.RO]Greedy-Based Feature Selection for Efficient LiDAR SLAM
    • [cs.RO]I Know What You Would Like to Drink: Benefits and Detriments of Sharing Personal Info with a Bartender Robot
    • [cs.RO]Improving the interaction of Older Adults with Socially Assistive Robots for Table setting
    • [cs.RO]In-flight positional and energy use data set of a DJI Matrice 100 quadcopter for small package delivery
    • [cs.RO]Multi-Robot Task Allocation — Complexity and Approximation
    • [cs.RO]Pole-like Objects Mapping and Long-Term Robot Localization in Dynamic Urban Scenarios
    • [cs.RO]Proximally Optimal Predictive Control Algorithm for Path Tracking of Self-Driving Cars
    • [cs.RO]Receding Horizon Motion Planning for Multi-Agent Systems: A Velocity Obstacle Based Probabilistic Method
    • [cs.RO]Robot Learning of 6 DoF Grasping using Model-based Adaptive Primitives
    • [cs.RO]Robowflex: Robot Motion Planning with MoveIt Made Easy
    • [cs.RO]Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs
    • [cs.RO]User-centered Feedback Design in Person-following Robots for Older Adults
    • [cs.RO]iMHS: An Incremental Multi-Hypothesis Smoother
    • [cs.SE]Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories
    • [cs.SE]PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
    • [cs.SE]deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search
    • [cs.SI]An Exploration of Geo-temporal Characteristics of Users’ Reactions on Social Media During the Pandemic
    • [cs.SI]Is radicalization reinforced by social media censorship?
    • [cs.SI]Koo: The new King? Characterizing India’s Emerging Social Network
    • [cs.SI]The Influence of Social Networks on Human Society
    • [econ.EM]Phase transition of the monotonicity assumption in learning local average treatment effects
    • [eess.IV]Information-based Disentangled Representation Learning for Unsupervised MR Harmonization
    • [eess.IV]Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications
    • [eess.IV]Lightweight Image Super-Resolution with Multi-scale Feature Interaction Network
    • [eess.SP]Multipath-based SLAM using Belief Propagation with Interacting Multiple Dynamic Models
    • [eess.SY]Non-Episodic Learning for Online LQR of Unknown Linear Gaussian System
    • [eess.SY]Smoothing-Averse Control: Covertness and Privacy from Smoothers
    • [math.GR]Homomorphic encoders of profinite abelian groups
    • [math.NA]Solving and Learning Nonlinear PDEs with Gaussian Processes
    • [math.OC]Comments on “A Framework for Control System Design Subject to Average Data-Rate Constraints”
    • [math.OC]Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method
    • [math.OC]Learning to Optimize: A Primer and A Benchmark
    • [math.OC]On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions
    • [math.PR]New Proofs of the Basel Problem using Stochastic Processes
    • [math.ST]Anova of Balanced Variance Component Models
    • [math.ST]Consistency of Bayesian inference with Gaussian process priors for a parabolic inverse problem
    • [math.ST]Epidemic change-point detection in general integer-valued time series
    • [math.ST]Fitting phase-type frailty models
    • [math.ST]On the global identifiability of logistic regression models with misclassified outcomes
    • [physics.med-ph]Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images
    • [physics.med-ph]MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
    • [stat.AP]A tale of two metrics: Polling and financial contributions as a measure of performance
    • [stat.AP]A unified model of inspection and monitoring quality
    • [stat.AP]Consistency between household and county measures of K-12 onsite schooling during the COVID-19 pandemic
    • [stat.AP]Social and material vulnerability in the face of seismic hazard: an analysis of the Italian case
    • [stat.ME]A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors
    • [stat.ME]An Efficient Method to Compute Expected Value of Sample Information for Survival Data from an Ongoing Trial
    • [stat.ME]An Eigenmodel for Dynamic Multilayer Networks
    • [stat.ME]Bayesian Inference for Brain Activity from Functional Magnetic Resonance Imaging Collected at Two Spatial Resolutions
    • [stat.ME]Dimension Reduction Forests: Local Variable Importance using Structured Random Forests
    • [stat.ME]Envelope Methods with Ignorable Missing Data
    • [stat.ME]Extending the Mann-Kendall test to allow for measurement uncertainty
    • [stat.ME]Flexible Predictive Distributions from Varying-Thresholds Modelling
    • [stat.ME]Heavy-tailed distribution for combining dependent 今日学术视野(2021.3.26) - 图4-values with asymptotic robustness
    • [stat.ME]Joint Stochastic Modeling and Statistical Analysis of Recurrent Competing Risks, Longitudinal Marker, and Health Status
    • [stat.ME]Loss based prior for the degrees of freedom of the Wishart distribution
    • [stat.ME]Meta Analysis of Bayes Factors
    • [stat.ME]Mixed Effects Envelope Models
    • [stat.ME]Numerical Characterization of Support Recovery in Sparse Regression with Correlated Design
    • [stat.ME]Pair-switching rerandomization
    • [stat.ML]PAC-Bayesian theory for stochastic LTI systems
    • [stat.ML]The Shapley Value of coalition of variables provides better explanations
    • [stat.ML]Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information

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

    • [cs.AI]Actionable Cognitive Twins for Decision Making in Manufacturing
    Jože M. Rožanec, Jinzhi Lu, Jan Rupnik, Maja Škrjanc, Dunja Mladenić, Blaž Fortuna, Xiaochen Zheng, Dimitris Kiritsis
    http://arxiv.org/abs/2103.12854v1

    • [cs.AI]Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction
    Tri Minh Nguyen, Thomas P Quinn, Thin Nguyen, Truyen Tran
    http://arxiv.org/abs/2103.12983v1

    • [cs.AI]Goal Seeking Quadratic Unconstrained Binary Optimization
    Amit Verma, Mark Lewis
    http://arxiv.org/abs/2103.12951v1

    • [cs.AI]Truth and Subjunctive Theories of Knowledge: No Luck?
    Johannes Stern
    http://arxiv.org/abs/2103.13332v1

    • [cs.CG]A Multi-parameter Persistence Framework for Mathematical Morphology
    Yu-Min Chung, Sarah Day, Chuan-Shen Hu
    http://arxiv.org/abs/2103.13013v1

    • [cs.CL]Are Multilingual Models Effective in Code-Switching?
    Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu, Zhaojiang Lin, Andrea Madotto, Pascale Fung
    http://arxiv.org/abs/2103.13309v1

    • [cs.CL]Complex Factoid Question Answering with a Free-Text Knowledge Graph
    Chen Zhao, Chenyan Xiong, Xin Qian, Jordan Boyd-Graber
    http://arxiv.org/abs/2103.12876v1

    • [cs.CL]Czert — Czech BERT-like Model for Language Representation
    Jakub Sido, Ondřej Pražák, Pavel Přibáň, Jan Pašek, Michal Seják, Miloslav Konopík
    http://arxiv.org/abs/2103.13031v1

    • [cs.CL]Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer
    Shivani Kumar, Anubhav Shrimal, Md Shad Akhtar, Tanmoy Chakraborty
    http://arxiv.org/abs/2103.12360v2

    • [cs.CL]Finetuning Pretrained Transformers into RNNs
    Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith
    http://arxiv.org/abs/2103.13076v1

    • [cs.CL]Finnish Paraphrase Corpus
    Jenna Kanerva, Filip Ginter, Li-Hsin Chang, Iiro Rastas, Valtteri Skantsi, Jemina Kilpeläinen, Hanna-Mari Kupari, Jenna Saarni, Maija Sevón, Otto Tarkka
    http://arxiv.org/abs/2103.13103v1

    • [cs.CL]Language learnability in the limit for general metrics: a Gold-Angluin result
    Fernando C. Alves
    http://arxiv.org/abs/2103.13166v1

    • [cs.CL]Low-Resource Machine Translation for Low-Resource Languages: Leveraging Comparable Data, Code-Switching and Compute Resources
    Garry Kuwanto, Afra Feyza Akyürek, Isidora Chara Tourni, Siyang Li, Derry Wijaya
    http://arxiv.org/abs/2103.13272v1

    • [cs.CL]Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases
    Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, Nikolaos Aletras, Ion Androutsopoulos, Prodromos Malakasiotis
    http://arxiv.org/abs/2103.13084v1

    • [cs.CL]Repairing Pronouns in Translation with BERT-Based Post-Editing
    Reid Pryzant, Melvin Johnson, Hideto Kazawa
    http://arxiv.org/abs/2103.12838v1

    • [cs.CL]Representing Numbers in NLP: a Survey and a Vision
    Avijit Thawani, Jay Pujara, Pedro A. Szekely, Filip Ilievski
    http://arxiv.org/abs/2103.13136v1

    • [cs.CL]TeCoMiner: Topic Discovery Through Term Community Detection
    Andreas Hamm, Jana Thelen, Rasmus Beckmann, Simon Odrowski
    http://arxiv.org/abs/2103.12882v1

    • [cs.CL]Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2
    Gregor Betz, Kyle Richardson, Christian Voigt
    http://arxiv.org/abs/2103.13033v1

    • [cs.CL]Topic Modeling Genre: An Exploration of French Classical and Enlightenment Drama
    Christof Schöch
    http://arxiv.org/abs/2103.13019v1

    • [cs.CL]Towards a Formal Model of Narratives
    Louis Castricato, Stella Biderman, Rogelio E. Cardona-Rivera, David Thue
    http://arxiv.org/abs/2103.12872v1

    • [cs.CL]UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
    Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
    http://arxiv.org/abs/2103.13009v1

    • [cs.CL]Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning
    Sonal Garg, Sumanth Prabhu, Hemant Misra, G. Srinivasaraghavan
    http://arxiv.org/abs/2103.12777v1

    • [cs.CL]When Word Embeddings Become Endangered
    Khalid Alnajjar
    http://arxiv.org/abs/2103.13275v1

    • [cs.CR]Black-box Detection of Backdoor Attacks with Limited Information and Data
    Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
    http://arxiv.org/abs/2103.13127v1

    • [cs.CR]Detecting Phishing Sites — An Overview
    P. Kalaharsha, B. M. Mehtre
    http://arxiv.org/abs/2103.12739v1

    • [cs.CR]Watermark Faker: Towards Forgery of Digital Image Watermarking
    Ruowei Wang, Chenguo Lin, Qijun Zhao, Feiyu Zhu
    http://arxiv.org/abs/
    88d
    2103.12489v1
    88d
    2103.12489v1)

    • [cs.CV]A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios
    Kai A. Metzger, Peter Mortimer, Hans-Joachim Wuensche
    http://arxiv.org/abs/2103.13109v1

    • [cs.CV]AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild
    Daniel Joska, Liam Clark, Naoya Muramatsu, Ricardo Jericevich, Fred Nicolls, Alexander Mathis, Mackenzie W. Mathis, Amir Patel
    http://arxiv.org/abs/2103.13282v1

    • [cs.CV]Adversarial Feature Stacking for Accurate and Robust Predictions
    Faqiang Liu, Rong Zhao, Luping Shi
    http://arxiv.org/abs/2103.13124v1

    • [cs.CV]Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition
    Enrique Sanchez, Mani Kumar Tellamekala, Michel Valstar, Georgios Tzimiropoulos
    http://arxiv.org/abs/2103.13372v1

    • [cs.CV]AutoMix: Unveiling the Power of Mixup
    Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li
    http://arxiv.org/abs/2103.13027v1

    • [cs.CV]Benchmarking Deep Trackers on Aerial Videos
    Abu Md Niamul Taufique, Breton Minnehan, Andreas Savakis
    http://arxiv.org/abs/2103.12924v1

    • [cs.CV]Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas
    Wei Wei, Li Guan, Yue Liu, Hao Kang, Haoxiang Li, Ying Wu, Gang Hua
    http://arxiv.org/abs/2103.12926v1

    • [cs.CV]BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
    Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang
    http://arxiv.org/abs/2103.12424v2

    • [cs.CV]Can Vision Transformers Learn without Natural Images?
    Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue
    http://arxiv.org/abs/2103.13023v1

    • [cs.CV]Co-matching: Combating Noisy Labels by Augmentation Anchoring
    Yangdi Lu, Yang Bo, Wenbo He
    http://arxiv.org/abs/2103.12814v1

    • [cs.CV]Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization
    Haoyu Ma, Xiangru Lin, Zifeng Wu, Yizhou Yu
    http://arxiv.org/abs/2103.13041v1

    • [cs.CV]DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation
    Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo
    http://arxiv.org/abs/2103.12768v1

    • [cs.CV]DNN Quantization with Attention
    Ghouthi Boukli Hacene, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux
    http://arxiv.org/abs/2103.13322v1

    • [cs.CV]DRO: Deep Recurrent Optimizer for Structure-from-Motion
    Xiaodong Gu, Weihao Yuan, Zuozhuo Dai, Siyu Zhu, Chengzhou Tang, Ping Tan
    http://arxiv.org/abs/2103.13201v1

    • [cs.CV]Dynamic Slimmable Network
    Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang
    http://arxiv.org/abs/2103.13258v1

    • [cs.CV]Efficient Regional Memory Network for Video Object Segmentation
    Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Wenxiu Sun
    http://arxiv.org/abs/2103.12934v1

    • [cs.CV]Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
    Thomas Mensink, Jasper Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari
    http://arxiv.org/abs/2103.13318v1

    • [cs.CV]FakeMix Augmentation Improves Transparent Object Detection
    Yang Cao, Zhengqiang Zhang, Enze Xie, Qibin Hou, Kai Zhao, Xiangui Luo, Jian Tuo
    http://arxiv.org/abs/2103.13279v1

    • [cs.CV]From Shadow Generation to Shadow Removal
    Zhihao Liu, Hui Yin, Xinyi Wu, Zhenyao Wu, Yang Mi, Song Wang
    http://arxiv.org/abs/2103.12997v1

    • [cs.CV]Generic Merging of Structure from Motion Maps with a Low Memory Footprint
    Gabrielle Flood, David Gillsjö, Patrik Persson, Anders Heyden, Kalle Åström
    http://arxiv.org/abs/2103.13246v1

    • [cs.CV]Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data
    Bolin Lai, Yuhsuan Wu, Xiao-Yun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison
    http://arxiv.org/abs/2103.12972v1

    • [cs.CV]Industrial Machine Tool Component Surface Defect Dataset
    Tobias Schlagenhauf, Magnus Landwehr, Juergen Fleischer
    http://arxiv.org/abs/2103.13003v1

    • [cs.CV]Jo-SRC: A Contrastive Approach for Combating Noisy Labels
    Yazhou Yao, Zeren Sun, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, Zhenmin Tang
    http://arxiv.org/abs/2103.13029v1

    • [cs.CV]Learning Fine-Grained Segmentation of 3D Shapes without Part Labels
    Xiaogang Wang, Xun Sun, Xinyu Cao, Kai Xu, Bin Zhou
    http://arxiv.org/abs/2103.13030v1

    • [cs.CV]Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images
    Yishan He, Fei Gao, Jun Wang, Amir Hussain, Erfu Yang, Huiyu Zhou
    http://arxiv.org/abs/2103.13151v1

    • [cs.CV]Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
    Chuming Lin, Chengming Xu, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu
    http://arxiv.org/abs/2103.13137v1

    • [cs.CV]Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
    Baoli Sun, Xinchen Ye, Baopu Li, Haojie Li, Zhihui Wang, Rui Xu
    http://arxiv.org/abs/2103.12955v1

    • [cs.CV]Learning Versatile Neural Architectures by Propagating Network Codes
    Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo
    http://arxiv.org/abs/2103.13253v1

    • [cs.CV]M3DSSD: Monocular 3D Single Stage Object Detector
    Shujie Luo, Hang Dai, Ling Shao, Yong Ding
    http://arxiv.org/abs/2103.13164v1

    • [cs.CV]MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation
    Jiaxing Huang, Dayan Guan, Shijian Lu, Aoran Xiao
    http://arxiv.org/abs/2103.12991v1

    • [cs.CV]MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation
    Guangwei Gao, Guoan Xu, Yi Yu, Jin Xie, Jian Yang, Dong Yue
    http://arxiv.org/abs/2103.13044v1

    • [cs.CV]MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
    Hansheng Chen, Yuyao Huang, Wei Tian, Zhong Gao, Lu Xiong
    http://arxiv.org/abs/2103.12605v2

    • [cs.CV]Multi-view 3D Reconstruction with Transformer
    Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu Salcudean, Z. Jane Wang, Rabab Ward
    http://arxiv.org/abs/2103.12957v1

    • [cs.CV]Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise
    YeongHyeon Park, JongHee Jung
    http://arxiv.org/abs/2103.12992v1

    • [cs.CV]Object Localization Through a Single Multiple-Model Convolutional Neural Network with a Specific Training Approach
    Faraz Lotfi, Farnoosh Faraji, Hamid D. Taghirad
    http://arxiv.org/abs/2103.13339v1

    • [cs.CV]On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
    Osama Makansi, Özgün Cicek, Yassine Marrakchi, Thomas Brox
    http://arxiv.org/abs/2103.12474v2

    • [cs.CV]On a realization of motion and similarity group equivalence classes of labeled points in 今日学术视野(2021.3.26) - 图5 with applications to computer vision
    Steven B. Damelin, David L. Ragozin, Michael Werman
    http://arxiv.org/abs/2103.12980v1

    • [cs.CV]One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video
    Zixu Zhao, Yueming Jin, Bo Lu, Chi-Fai Ng, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng
    http://arxiv.org/abs/2103.12988v1

    • [cs.CV]One-Shot GAN: Learning to Generate Samples from Single Images and Videos
    Vadim Sushko, Juergen Gall, Anna Khoreva
    http://arxiv.org/abs/2103.13389v1

    • [cs.CV]PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation
    Yihua Cheng, Yiwei Bao, Feng Lu
    http://arxiv.org/abs/2103.13173v1

    • [cs.CV]RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation
    Jianyun Xu, Ruixiang Zhang, Jian Dou, Yushi Zhu, Jie Sun, Shiliang Pu
    http://arxiv.org/abs/2103.12978v1

    • [cs.CV]Region Similarity Representation Learning
    Tete Xiao, Colorado J Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell
    http://arxiv.org/abs/2103.12902v1

    • [cs.CV]Relation-aware Instance Refinement for Weakly Supervised Visual Grounding
    Yongfei Liu, Bo Wan, Lin Ma, Xuming He
    http://arxiv.org/abs/2103.12989v1

    • [cs.CV]Repetitive Activity Counting by Sight and Sound
    Yunhua Zhang, Ling Shao, Cees G. M. Snoek
    http://arxiv.org/abs/2103.13096v1

    • [cs.CV]Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning
    Amaia Salvador, Erhan Gundogdu, Loris Bazzani, Michael Donoser
    http://arxiv.org/abs/2103.13061v1

    • [cs.CV]SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms
    Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande
    http://arxiv.org/abs/2103.12896v1

    • [cs.CV]SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
    Brevin Tilmon, Sanjeev J. Koppal
    http://arxiv.org/abs/2103.12981v1

    • [cs.CV]Scene-Intuitive Agent for Remote Embodied Visual Grounding
    Xiangru Lin, Guanbin Li, Yizhou Yu
    http://arxiv.org/abs/2103.12944v1

    • [cs.CV]Shift-and-Balance Attention
    Chunjie Luo, Jianfeng Zhan, Tianshu Hao, Lei Wang, Wanling Gao
    http://arxiv.org/abs/2103.13080v1

    • [cs.CV]Structure-Aware Face Clustering on a Large-Scale Graph with 今日学术视野(2021.3.26) - 图6 Nodes
    Shuai Shen, Wanhua Li, Zheng Zhu, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou
    http://arxiv.org/abs/2103.13225v1

    • [cs.CV]Structured Co-reference Graph Attention for Video-grounded Dialogue
    Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo
    http://arxiv.org/abs/2103.13361v1

    • [cs.CV]Teacher-Explorer-Student Learning: A Novel Learning Method for Open Set Recognition
    Jaeyeon Jang, Chang Ouk Kim
    http://arxiv.org/abs/2103.12871v1

    • [cs.CV]Temporal Context Aggregation Network for Temporal Action Proposal Refinement
    Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang
    http://arxiv.org/abs/2103.13141v1

    • [cs.CV]The Blessings of Unlabeled Background in Untrimmed Videos
    Yuan Liu, Jingyuan Chen, Zhenfang Chen, Bing Deng, Jianqiang Huang, Hanwang Zhang
    http://arxiv.org/abs/2103.13183v1

    • [cs.CV]VLGrammar: Grounded Grammar Induction of Vision and Language
    Yining Hong, Qing Li, Song-Chun Zhu, Siyuan Huang
    http://arxiv.org/abs/2103.12975v1

    • [cs.CV]Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation
    Jaesung Choe, Kyungdon Joo, Tooba Imtiaz, In So Kweon
    http://arxiv.org/abs/2103.12964v1

    • [cs.CV]Vulnerability of Appearance-based Gaze Estimation
    Mingjie Xu, Haofei Wang, Yunfei Liu, Feng Lu
    http://arxiv.org/abs/2103.13134v1

    • [cs.CV]W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality
    Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
    http://arxiv.org/abs/2103.13107v1

    • [cs.CV]Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency
    Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan Yuille, Zhenheng Yang
    http://arxiv.org/abs/2103.12886v1

    • [cs.CV]X-view: Non-egocentric Multi-View 3D Object Detector
    Liang Xie, Guodong Xu, Deng Cai, Xiaofei He
    http://arxiv.org/abs/2103.13001v1

    • [cs.CY]Human Factors in Security Research: Lessons Learned from 2008-2018
    Mannat Kaur, Michel van Eeten, Marijn Janssen, Kevin Borgolte, Tobias Fiebig
    http://arxiv.org/abs/2103.13287v1

    • [cs.DC]A Multi-Tenant Framework for Cloud Container Services
    Chao Zheng, Qinghui Zhuang, Fei Guo
    http://arxiv.org/abs/2103.13333v1

    • [cs.DC]An Approach for the Automation of IaaS Cloud Upgrade
    Mina Nabi, Ferhat Khendek, Maria Toeroe
    http://arxiv.org/abs/2103.12837v1

    • [cs.DC]Distributed Learning for Melanoma Classification using Personal Health Train
    Yongli Mou, Sascha Welten, Yeliz Ucer Yediel, Toralf Kirsten, Oya Deniz Beyan
    http://arxiv.org/abs/2103.13226v1

    • [cs.DC]Power Modeling for Effective Datacenter Planning and Compute Management
    Ana Radovanovic, Bokan Chen, Saurav Talukdar, Binz Roy, Alexandre Duarte, Mahya Shahbazi
    http://arxiv.org/abs/2103.13308v1

    • [cs.DC]RDMA is Turing complete, we just did not know it yet!
    Waleed Reda, Marco Canini, Dejan Kostić, Simon Peter
    http://arxiv.org/abs/2103.13351v1

    • [cs.DC]SCHeMa: Scheduling Scientific Containers on a Cluster of Heterogeneous Machines
    Thanasis Vergoulis, Konstantinos Zagganas, Loukas Kavouras, Martin Reczko, Stelios Sartzetakis, Theodore Dalamagas
    http://arxiv.org/abs/2103.13138v1

    • [cs.DC]Towards Accommodating Real-time Jobs on HPC Platforms
    Sam Nickolay, Eun-Sung Jung, Rajkumar Kettimuthu, Ian Foster
    http://arxiv.org/abs/2103.13130v1

    • [cs.DL]Ground Truths for the Humanities
    Yvette Oortwijn, Hein van den Berg, Arianna Betti
    http://arxiv.org/abs/2103.12841v1

    • [cs.GT]Facility Reallocation on the Line
    Bart de Keijzer, Dominik Wojtczak
    http://arxiv.org/abs/2103.12894v1

    • [cs.IR]CSFCube — A Test Collection of Computer Science Research Articles for Faceted Query by Example
    Sheshera Mysore, Tim O’Gorman, Andrew McCallum, Hamed Zamani
    http://arxiv.org/abs/2103.12906v1

    • [cs.IR]From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search
    Rui Li, Yunjiang Jiang, Wenyun Yang, Guoyu Tang, Songlin Wang, Chaoyi Ma, Wei He, Xi Xiong, Yun Xiao, Eric Yihong Zhao
    http://arxiv.org/abs/2103.12982v1

    • [cs.IR]Web Mining for Estimating Regulatory Blockchain Readiness
    Elias Iosif, Klitos Christodoulou, Andreas Vlachos
    http://arxiv.org/abs/2103.13235v1

    • [cs.IT]A Message Passing based Adaptive PDA Algorithm for Robust Radio-based Localization and Tracking
    Alexander Venus, Erik Leitinger, Stefan Tertinek, Klaus Witrisal
    http://arxiv.org/abs/2103.13188v1

    • [cs.IT]Analysis of QoS in Heterogeneous Networks with Clustered Deployment and Caching Aware Capacity Allocation
    Takehiro Ohashi
    http://arxiv.org/abs/2103.12993v1

    • [cs.IT]Cross-layer based intermittent jamming schemes for securing energy-constraint networks
    Qinghe Gao, Yan Huo, Tao
    1000
    Jing, Liran Ma, Jin Qian
    http://arxiv.org/abs/2103.13217v1

    • [cs.IT]Energy-Efficient Resource Allocation in Massive MIMO-NOMA Networks with Wireless Power Transfer: A Distributed ADMM Approach
    Zhongyu Wang, Zhipeng Lin, Tiejun Lv, Wei Ni
    http://arxiv.org/abs/2103.13146v1

    • [cs.IT]Information Freshness Analysis of Slotted ALOHA in Gilbert-Elliot Channels
    Andrea Munari, Gianluigi Liva
    http://arxiv.org/abs/2103.13346v1

    • [cs.IT]Note on the offspring distribution for group testing in the linear regime
    Oliver Gebhard, Philipp Loick
    http://arxiv.org/abs/2103.13039v1

    • [cs.IT]Outage Probability Expressions for an IRS-Assisted System with and without Source-Destination Link for the Case of Quantized Phase Shifts
    Mavilla Charishma, Athira Subhash, Shashank Shekhar, Sheetal Kalyani
    http://arxiv.org/abs/2103.12970v1

    • [cs.IT]Quantized Corrupted Sensing with Random Dithering
    Zhongxing Sun, Wei Cui, Yulong Liu
    http://arxiv.org/abs/2103.13191v1

    • [cs.LG]A High-order Tuner for Accelerated Learning and Control
    Spencer McDonald, Yingnan Cui, Joseph E. Gaudio, Anuradha M. Annaswamy
    http://arxiv.org/abs/2103.12868v1

    • [cs.LG]A VAE-Based Bayesian Bidirectional LSTM for Renewable Energy Forecasting
    Devinder Kaur, Shama Naz Islam, Md. Apel Mahmud
    http://arxiv.org/abs/2103.12969v1

    • [cs.LG]Bag of Tricks of Semi-Supervised Classification with Graph Neural Networks
    Yangkun Wang
    http://arxiv.org/abs/2103.13355v1

    • [cs.LG]Bandit Learning for Dynamic Colonel Blotto Game with a Budget Constraint
    Vincent Leon, S. Rasoul Etesami
    http://arxiv.org/abs/2103.12833v1

    • [cs.LG]Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation
    Andrea Zanette, Ching-An Cheng, Alekh Agarwal
    http://arxiv.org/abs/2103.12923v1

    • [cs.LG]Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving
    Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya
    http://arxiv.org/abs/2103.13021v1

    • [cs.LG]Detecting micro fractures with X-ray computed tomography
    Dongwon Lee, Nikolaos Karadimitriou, Matthias Ruf, Holger Steeb
    http://arxiv.org/abs/2103.12821v1

    • [cs.LG]Discriminator Augmented Model-Based Reinforcement Learning
    Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn
    http://arxiv.org/abs/2103.12999v1

    • [cs.LG]Embracing the Disharmony in Heterogeneous Medical Data
    Rongguang Wang, Pratik Chaudhari, Christos Davatzikos
    http://arxiv.org/abs/2103.12857v1

    • [cs.LG]FastMoE: A Fast Mixture-of-Expert Training System
    Jiaao He, Jiezhong Qiu, Aohan Zeng, Zhilin Yang, Jidong Zhai, Jie Tang
    http://arxiv.org/abs/2103.13262v1

    • [cs.LG]Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop
    Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley Osher, Wotao Yin
    http://arxiv.org/abs/2103.12803v1

    • [cs.LG]Graph Representation Learning by Ensemble Aggregating Subgraphs via Mutual Information Maximization
    Chenguang Wang, Ziwen Liu
    http://arxiv.org/abs/2103.13125v1

    • [cs.LG]Improved Estimation of Concentration Under 今日学术视野(2021.3.26) - 图7-Norm Distance Metrics Using Half Spaces
    Jack Prescott, Xiao Zhang, David Evans
    http://arxiv.org/abs/2103.12913v1

    • [cs.LG]Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability
    Tom Hammerbacher, Markus Lange-Hegermann, Gorden Platz
    http://arxiv.org/abs/2103.12998v1

    • [cs.LG]Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis
    Paul Horton, Hannah R. Kerner, Samantha Jacob, Ernest Cisneros, Kiri L. Wagstaff, James Bell
    http://arxiv.org/abs/2103.12815v1

    • [cs.LG]Knowledge-aware Contrastive Molecular Graph Learning
    Yin Fang, Haihong Yang, Xiang Zhuang, Xin Shao, Xiaohui Fan, Huajun Chen
    http://arxiv.org/abs/2103.13047v1

    • [cs.LG]MIcro-Surgical Anastomose Workflow recognition challenge report
    Arnaud Huaulmé, Duygu Sarikaya, Kévin Le Mut, Fabien Despinoy, Yonghao Long, Qi Dou, Chin-Boon Chng, Wenjun Lin, Satoshi Kondo, Laura Bravo-Sánchez, Pablo Arbeláez, Wolfgang Reiter, Manoru Mitsuishi, Kanako Harada, Pierre Jannin
    http://arxiv.org/abs/2103.13111v1

    • [cs.LG]Machine Learning based Indicators to Enhance Process Monitoring by Pattern Recognition
    Stefan Schrunner, Michael Scheiber, Anna Jenul, Anja Zernig, Andre Kästner, Roman Kern
    http://arxiv.org/abs/2103.13058v1

    • [cs.LG]Meta-Learned Invariant Risk Minimization
    Jun-Hyun Bae, Inchul Choi, Minho Lee
    http://arxiv.org/abs/2103.12947v1

    • [cs.LG]Minimax Regret for Stochastic Shortest Path
    Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
    http://arxiv.org/abs/2103.13056v1

    • [cs.LG]Multi-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity
    Ziyi Chen, Yi Zhou, Rongrong Chen
    http://arxiv.org/abs/2103.13147v1

    • [cs.LG]Neural Architecture Search From Fréchet Task Distance
    Cat P. Le, Mohammadreza Soltani, Robert Ravier, Trevor Standley, Silvio Savarese, Vahid Tarokh
    http://arxiv.org/abs/2103.12827v1

    • [cs.LG]On Sequential Bayesian Optimization with Pairwise Comparison
    Tanya Ignatenko, Kirill Kondrashov, Marco Cox, Bert de Vries
    http://arxiv.org/abs/2103.13192v1

    • [cs.LG]Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
    Sangsu Lee, Xi Zheng, Jie Hua, Haris Vikalo, Christine Julien
    http://arxiv.org/abs/2103.13266v1

    • [cs.LG]Supporting Clustering with Contrastive Learning
    Dejiao Zhang, Feng Nan, Xiaokai Wei, Shangwen Li, Henghui Zhu, Kathleen McKeown, Ramesh Nallapati, Andrew Arnold, Bing Xiang
    http://arxiv.org/abs/2103.12953v1

    • [cs.LG]The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication
    Xing Xu, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
    http://arxiv.org/abs/2103.13026v1

    • [cs.LG]Unsupervised collaborative learning using privileged information
    Yohan Foucade, Younès Bennani
    http://arxiv.org/abs/2103.13145v1

    • [cs.LG]Using Meta-learning to Recommend Process Discovery Methods
    Sylvio Barbon Jr, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares
    http://arxiv.org/abs/2103.12874v1

    • [cs.LG]Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling
    Pratyay Banerjee, Kuntal Kumar Pal, Fish Wang, Chitta Baral
    http://arxiv.org/abs/2103.12801v1

    • [cs.MA]A Review & Framework for Modeling Complex Engineered System Development Process
    John Meluso, Jesse Austin-Breneman, James P. Bagrow, Laurent Hébert-Dufresne
    http://arxiv.org/abs/2103.12820v1

    • [cs.NI]Fully-echoed Q-routing with Simulated Annealing Inference for Flying Adhoc Networks
    Arnau Rovira-Sugranes, Fatemeh Afghah, Junsuo Qu, Abolfazl Razi
    http://arxiv.org/abs/2103.12870v1

    • [cs.RO]A New Paradigm of Threats in Robotics Behaviors
    Michele Colledanchise
    http://arxiv.org/abs/2103.13268v1

    • [cs.RO]A Survey of Distributed Optimization Methods for Multi-Robot Systems
    Trevor Halsted, Ola Shorinwa, Javier Yu, Mac Schwager
    http://arxiv.org/abs/2103.12840v1

    • [cs.RO]Anytime informed path re-planning and optimization for robots in changing environments
    Cesare Tonola, Marco Faroni, Nicola Pedrocchi, Manuel Beschi
    http://arxiv.org/abs/2103.13245v1

    • [cs.RO]Behavior coordination for self-adaptive robots using constraint-based configuration
    Martin Molina, Pablo Santamaria
    http://arxiv.org/abs/2103.13128v1

    • [cs.RO]CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL
    Iretiayo Akinola, Zizhao Wang, Peter Allen
    http://arxiv.org/abs/2103.13267v1

    • [cs.RO]Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition
    Ricardo Bedin Grando, Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Nicolas Pieper Bortoluzzi, Pedro Miranda Pinheiro, Armando Alves Neto, Paulo Lilles Jorge Drews Jr
    http://arxiv.org/abs/2103.12883v1

    • [cs.RO]Distributed Visual-Inertial Cooperative Localization
    Pengxiang Zhu, Patrick Geneva, Wei Ren, Guoquan Huang
    http://arxiv.org/abs/2103.12770v1

    • [cs.RO]Dual Online Stein Variational Inference for Control and Dynamics
    Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo Borges, Byron Boots, Fabio Ramos
    http://arxiv.org/abs/2103.12890v1

    • [cs.RO]End-Effector Stabilization of a 10-DOF Mobile Manipulator using Nonlinear Model Predictive Control
    Mostafa Osman, Mohamed W. Mehrez, Shiyi Yang, Soo Jeon, William Melek
    http://arxiv.org/abs/2103.13153v1

    • [cs.RO]Exercise with Social Robots: Companion or Coach?
    Sascha Griffiths, Sascha Griffiths, Alexander Sutherland, Matthias Kerzel, Manfred Eppe, Erik Strahl, Stefan Wermter
    http://arxiv.org/abs/2103.12940v1

    • [cs.RO]Greedy-Based Feature Selection for Efficient LiDAR SLAM
    Jianhao Jiao, Yilong Zhu, Haoyang Ye, Huaiyang Huang, Peng Yun, Linxin Jiang, Lujia Wang, Ming Liu
    http://arxiv.org/abs/2103.13090v1

    • [cs.RO]I Know What You Would Like to Drink: Benefits and Detriments of Sharing Personal Info with a Bartender Robot
    Alessandra Rossi, Vito Giura, Carmine Di Leva, Silvia Rossi
    http://arxiv.org/abs/2103.13337v1

    • [cs.RO]Improving the interaction of Older Adults with Socially Assistive Robots for Table setting
    Samuel Olatunji, Noa Markfeld, Dana Gutman, Shay Givati, Vardit Sarne-Fleischmann, Tal Oron-Gilad, Yael Edan
    http://arxiv.org/abs/2103.13196v1

    • [cs.RO]In-flight positional and energy use data set of a DJI Matrice 100 quadcopter for small package delivery
    Thiago A. Rodrigues, Jay Patrikar, Arnav Choudhry, Jacob Feldgoise, Vaibhav Arcot, Aradhana Gahlaut, Sophia Lau, Brady Moon, Bastian Wagner, H. Scott Matthews, Sebastian Scherer, Constantine Samaras
    http://arxiv.org/abs/2103.13313v1

    • [cs.RO]Multi-Robot Task Allocation — Complexity and Approximation
    Haris Aziz, Hau Chan, Ágnes Cseh, Bo Li, Fahimeh Ramezani, Chenhao Wang
    http://arxiv.org/abs/2103.12
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    370v1
    7ca
    370v1)

    • [cs.RO]Pole-like Objects Mapping and Long-Term Robot Localization in Dynamic Urban Scenarios
    Zhihao Wang, Silin Li, Haoyao Chen, Yunhui Liu
    http://arxiv.org/abs/2103.13224v1

    • [cs.RO]Proximally Optimal Predictive Control Algorithm for Path Tracking of Self-Driving Cars
    Chinmay Vilas Samak, Tanmay Vilas Samak, Sivanathan Kandhasamy
    http://arxiv.org/abs/2103.13240v1

    • [cs.RO]Receding Horizon Motion Planning for Multi-Agent Systems: A Velocity Obstacle Based Probabilistic Method
    Xiaoxue Zhang, Jun Ma, Zilong Cheng, Sunan Huang, Tong Heng Lee
    http://arxiv.org/abs/2103.12968v1

    • [cs.RO]Robot Learning of 6 DoF Grasping using Model-based Adaptive Primitives
    Lars Berscheid, Christian Friedrich, Torsten Kröger
    http://arxiv.org/abs/2103.12810v1

    • [cs.RO]Robowflex: Robot Motion Planning with MoveIt Made Easy
    Zachary Kingston, Lydia E. Kavraki
    http://arxiv.org/abs/2103.12826v1

    • [cs.RO]Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs
    Chuan Fang, Shuai Ding, Zilong Dong, Honghua Li, Siyu Zhu, Ping Tan
    http://arxiv.org/abs/2103.12941v1

    • [cs.RO]User-centered Feedback Design in Person-following Robots for Older Adults
    Samuel Olatunji, Tal Oron-Gilad, Vardit Sarne-Fleischmann, Yael Edan
    http://arxiv.org/abs/2103.13209v1

    • [cs.RO]iMHS: An Incremental Multi-Hypothesis Smoother
    Fan Jiang, Varun Agrawal, Russell Buchanan, Maurice Fallon, Frank Dellaert
    http://arxiv.org/abs/2103.13178v1

    • [cs.SE]Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories
    Daan Hommersom, Antonino Sabetta, Bonaventura Coppola, Damian A. Tamburri
    http://arxiv.org/abs/2103.13375v1

    • [cs.SE]PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
    Egor Spirin, Egor Bogomolov, Vladimir Kovalenko, Timofey Bryksin
    http://arxiv.org/abs/2103.12778v1

    • [cs.SE]deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search
    Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Bailin Xiao, Wei Dong, Xiangke Liao
    http://arxiv.org/abs/2103.13020v1

    • [cs.SI]An Exploration of Geo-temporal Characteristics of Users’ Reactions on Social Media During the Pandemic
    Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer AbuHmed
    http://arxiv.org/abs/2103.13032v1

    • [cs.SI]Is radicalization reinforced by social media censorship?
    Justin E. Lane, Kevin McCaffree, F. LeRon Shults
    http://arxiv.org/abs/2103.12842v1

    • [cs.SI]Koo: The new King? Characterizing India’s Emerging Social Network
    Asmit Kumar Singh, Chirag Jain, Jivitesh Jain, Rishi Raj Jain, Shradha Sehgal, Ponnurangam Kumaraguru
    http://arxiv.org/abs/2103.13239v1

    • [cs.SI]The Influence of Social Networks on Human Society
    Shreyash Arya
    http://arxiv.org/abs/2103.13187v1

    • [econ.EM]Phase transition of the monotonicity assumption in learning local average treatment effects
    Yinchu Zhu
    http://arxiv.org/abs/2103.13369v1

    • [eess.IV]Information-based Disentangled Representation Learning for Unsupervised MR Harmonization
    Lianrui Zuo, Blake E. Dewey, Aaron Carass, Yihao Liu, Yufan He, Peter A. Calabresi, Jerry L. Prince
    http://arxiv.org/abs/2103.13283v1

    • [eess.IV]Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications
    Gaochang Wu, Yebin Liu, Lu Fang, Qionghai Dai, Tianyou Chai
    http://arxiv.org/abs/2103.13043v1

    • [eess.IV]Lightweight Image Super-Resolution with Multi-scale Feature Interaction Network
    Zhengxue Wang, Guangwei Gao, Juncheng Li, Yi Yu, Huimin Lu
    http://arxiv.org/abs/2103.13028v1

    • [eess.SP]Multipath-based SLAM using Belief Propagation with Interacting Multiple Dynamic Models
    Erik Leitinger, Stefan Grebien, Klaus Witrisal
    http://arxiv.org/abs/2103.12809v1

    • [eess.SY]Non-Episodic Learning for Online LQR of Unknown Linear Gaussian System
    Yiwen Lu, Yilin Mo
    http://arxiv.org/abs/2103.13278v1

    • [eess.SY]Smoothing-Averse Control: Covertness and Privacy from Smoothers
    Timothy L. Molloy, Girish N. Nair
    http://arxiv.org/abs/2103.12881v1

    • [math.GR]Homomorphic encoders of profinite abelian groups
    María V. Ferrer, Salvador Hernández
    http://arxiv.org/abs/2103.13135v1

    • [math.NA]Solving and Learning Nonlinear PDEs with Gaussian Processes
    Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M Stuart
    http://arxiv.org/abs/2103.12959v1

    • [math.OC]Comments on “A Framework for Control System Design Subject to Average Data-Rate Constraints”
    Milan S. Derpich, Jan Østergaard
    http://arxiv.org/abs/2103.12897v1

    • [math.OC]Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method
    Shengjun Zhang, Yunlong Dong, Dong Xie, Lisha Yao, Colleen P. Bailey, Shengli Fu
    http://arxiv.org/abs/2103.12954v1

    • [math.OC]Learning to Optimize: A Primer and A Benchmark
    Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
    http://arxiv.org/abs/2103.12828v1

    • [math.OC]On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions
    Aaron Havens, Bin Hu
    http://arxiv.org/abs/2103.12945v1

    • [math.PR]New Proofs of the Basel Problem using Stochastic Processes
    Uwe Hassler, Mehdi Hosseinkouchack
    http://arxiv.org/abs/2103.13249v1

    • [math.ST]Anova of Balanced Variance Component Models
    Martin Bilodeau
    http://arxiv.org/abs/2103.13202v1

    • [math.ST]Consistency of Bayesian inference with Gaussian process priors for a parabolic inverse problem
    Hanne Kekkonen
    http://arxiv.org/abs/2103.13213v1

    • [math.ST]Epidemic change-point detection in general integer-valued time series
    Mamadou Lamine Diop, William Kengne
    http://arxiv.org/abs/2103.13336v1

    • [math.ST]Fitting phase-type frailty models
    Jorge Yslas
    http://arxiv.org/abs/2103.13142v1

    • [math.ST]On the global identifiability of logistic regression models with misclassified outcomes
    Rui Duan, Yang Ning, Jiasheng Shi, Raymond J Carroll, Tianxi Cai, Yong Chen
    http://arxiv.org/abs/2103.12846v1

    • [physics.med-ph]Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images
    Oscar J. Pellicer-Valero, José L. Marenco Jiménez, Victor Gonzalez-Perez, Juan Luis Casanova Ramón-Borja, Isabel Martín García, María Barrios Benito, Paula Pelechano Gómez, José Rubio-Briones, María José Rupérez, José D. Martín-Guerrero
    http://arxiv.org/abs/2103.12650v2

    • [physics.med-ph]MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
    Zexin Lu, Wenjun Xia, Yongqiang Huang, Hongming Shan, Hu Chen, Jiliu Zhou, Yi Zhang
    http://arxiv.org/abs/2103.12995v1

    • [stat.AP]A tale of two metrics: Polling and financial contributions as a measure of performance
    Moeen Mostafavi, Maria Phillips, Yichen Jiang, Michael D. Porter, Paul Freedman
    http://arxiv.org/abs/2103.12984v1

    • [stat.AP]A unified model of inspection and monitoring quality
    Elizabeth Bismut, Daniel Straub
    http://arxiv.org/abs/2103.12853v1

    • [stat.AP]Consistency between household and county measures of K-12 onsite schooling during the COVID-19 pandemic
    Carly Lupton-Smith, Elena Badillo Goicoechea, Megan Collins, Justin Lessler, M. Kate Grabowski, Elizabeth A. Stuart
    http://arxiv.org/abs/2103.13296v1

    • [stat.AP]Social and material vulnerability in the face of seismic hazard: an analysis of the Italian case
    Oleksandr Didkovskyi, Giovanni Azzone, Alessandra Menafoglio, Piercesare Secchi
    http://arxiv.org/abs/2103.13228v1

    • [stat.ME]A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors
    Zhiyuan Li
    http://arxiv.org/abs/2103.13357v1

    • [stat.ME]An Efficient Method to Compute Expected Value of Sample Information for Survival Data from an Ongoing Trial
    Mathyn Vervaart, Mark Strong, Karl P. Claxton, Nicky J. Welton, Torbjørn Wisløff, Eline Aas
    http://arxiv.org/abs/2103.13238v1

    • [stat.ME]An Eigenmodel for Dynamic Multilayer Networks
    Joshua Daniel Loyal, Yuguo Chen
    http://arxiv.org/abs/2103.12831v1

    • [stat.ME]Bayesian Inference for Brain Activity from Functional Magnetic Resonance Imaging Collected at Two Spatial Resolutions
    Andrew S. Whiteman, Andreas J. Bartsch, Jian Kang, Timothy D. Johnson
    http://arxiv.org/abs/2103.13131v1

    • [stat.ME]Dimension Reduction Forests: Local Variable Importance using Structured Random Forests
    Joshua Daniel Loyal, Ruoqing Zhu, Yifan Cui, Xin Zhang
    http://arxiv.org/abs/2103.13233v1

    • [stat.ME]Envelope Methods with Ignorable Missing Data
    Linquan Ma, Lan Liu, Wei Yang
    http://arxiv.org/abs/2103.12946v1

    • [stat.ME]Extending the Mann-Kendall test to allow for measurement uncertainty
    Stavros Nikolakopoulos, Eric Cator, Mart P. Janssen
    http://arxiv.org/abs/2103.13248v1

    • [stat.ME]Flexible Predictive Distributions from Varying-Thresholds Modelling
    Gerhard Tutz
    http://arxiv.org/abs/2103.13324v1

    • [stat.ME]Heavy-tailed distribution for combining dependent 今日学术视野(2021.3.26) - 图8-values with asymptotic robustness
    Yusi Fang, George C. Tseng, Chung Chang
    http://arxiv.org/abs/2103.12967v1

    • [stat.ME]Joint Stochastic Modeling and Statistical Analysis of Recurrent Competing Risks, Longitudinal Marker, and Health Status
    Lili Tong, Piaomu Liu, Edsel Pena
    http://arxiv.org/abs/2103.12903v1

    • [stat.ME]Loss based prior for the degrees of freedom of the Wishart distribution
    Sotiris Prevenas, Rachel McCrea, Luca Rossini, Cristiano Villa
    http://arxiv.org/abs/2103.12900v1

    • [stat.ME]Meta Analysis of Bayes Factors
    Stavros Nikolakopoulos, Ioannis Ntzoufras
    http://arxiv.org/abs/2103.13236v1

    • [stat.ME]Mixed Effects Envelope Models
    Yuyang Shi, Linquan Ma, Lan Liu
    http://arxiv.org/abs/2103.13221v1

    • [stat.ME]Numerical Characterization of Support Recovery in Sparse Regression with Correlated Design
    Ankit Kumar, Sharmodeep Bhattacharyya, Kristofer Bouchard
    http://arxiv.org/abs/2103.12802v1

    • [stat.ME]Pair-switching rerandomization
    Ke Zhu, Hanzhong Liu
    http://arxiv.org/abs/2103.13051v1

    • [stat.ML]PAC-Bayesian theory for stochastic LTI systems
    Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihaly Petreczky
    http://arxiv.org/abs/2103.12866v1

    • [stat.ML]The Shapley Value of coalition of variables provides better explanations
    Salim Amoukou, Nicolas J-B. Brunel, Tangui Saluan
    http://arxiv.org/abs/2103.13342v1

    • [stat.ML]Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information
    Wei Huang, Richard Combes, Cindy Trinh
    http://arxiv.org/abs/2103.13059v1