astro-ph.SR - 太阳和天体物理学恒星 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.GT - 计算机科学与博弈论 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.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 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.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.flu-dyn - 流体动力学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.SR]Exploring Coronal Heating Using Unsupervised Machine-Learning
    • [cs.AI]A Survey Of Embodied AI: From Simulator To Research Tasks
    • [cs.AI]Efficient Algorithms for Global Inference in Internet Marketplaces
    • [cs.AI]From Classical to Hierarchical: benchmarks for the HTN Track of the International Planning Competition
    • [cs.AI]Monte Carlo Tree Search: A Review of Recent Modifications and Applications
    • [cs.AI]PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data
    • [cs.CL]A Topological Approach to Compare Document Semantics Based on a New Variant of Syntactic N-grams
    • [cs.CL]AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin
    • [cs.CL]BERTese: Learning to Speak to BERT
    • [cs.CL]Comparing Approaches to Dravidian Language Identification
    • [cs.CL]Contrastive Semi-supervised Learning for ASR
    • [cs.CL]Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company’s Reputation
    • [cs.CL]Domain Controlled Title Generation with Human Evaluation
    • [cs.CL]Fast and Effective Biomedical Entity Linking Using a Dual Encoder
    • [cs.CL]Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data
    • [cs.CL]Improving Document-Level Sentiment Classification Using Importance of Sentences
    • [cs.CL]Self-supervised Regularization for Text Classification
    • [cs.CL]Text Simplification by Tagging
    • [cs.CL]Translating the Unseen? Yorùbá 今日学术视野(2021.3.11) - 图1 English MT in Low-Resource, Morphologically-Unmarked Settings
    • [cs.CR]Deep Learning for Android Malware Defenses: a Systematic Literature Review
    • [cs.CR]PeQES: A Platform for Privacy-enhanced Quantitative Empirical Studies
    • [cs.CR]Robust Black-box Watermarking for Deep NeuralNetwork using Inverse Document Frequency
    • [cs.CR]Selective and Features based Adversarial Example Detection
    • [cs.CR]Universal Adversarial Perturbations and Image Spam Classifiers
    • [cs.CV]A Data Augmentation Method by Mixing Up Negative Candidate Answers for Solving Raven’s Progressive Matrices
    • [cs.CV]Anomalous entities detection using a cascade of deep learning models
    • [cs.CV]BASAR:Black-box Attack on Skeletal Action Recognition
    • [cs.CV]Bio-Inspired Representation Learning for Visual Attention Prediction
    • [cs.CV]ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments
    • [cs.CV]Contemplating real-world object classification
    • [cs.CV]Contrastive Neural Architecture Search with Neural Architecture Comparators
    • [cs.CV]Deep Learning based 3D Segmentation: A Survey
    • [cs.CV]Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography
    • [cs.CV]DeepSeagrass Dataset
    • [cs.CV]Differentially Private Imaging via Latent Space Manipulation
    • [cs.CV]Doubly Contrastive Deep Clustering
    • [cs.CV]Enhancing Medical Image Registration via Appearance Adjustment Networks
    • [cs.CV]Enhancing sensor resolution improves CNN accuracy given the same number of parameters or FLOPS
    • [cs.CV]Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis
    • [cs.CV]FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
    • [cs.CV]ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
    • [cs.CV]Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation
    • [cs.CV]How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines
    • [cs.CV]Instance and Pair-Aware Dynamic Networks for Re-Identification
    • [cs.CV]Interpretable Attention Guided Network for Fine-grained Visual Classification
    • [cs.CV]Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning
    • [cs.CV]Knowledge Evolution in Neural Networks
    • [cs.CV]Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation
    • [cs.CV]MWQ: Multiscale Wavelet Quantized Neural Networks
    • [cs.CV]MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
    • [cs.CV]Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles
    • [cs.CV]NaroNet: Objective-based learning of the tumor microenvironment from highly multiplexed immunostained images
    • [cs.CV]NeX: Real-time View Synthesis with Neural Basis Expansion
    • [cs.CV]OPANAS: One-Shot Path Aggregation Network Architecture Search for Object
    • [cs.CV]Offboard 3D Object Detection from Point Cloud Sequences
    • [cs.CV]Open-book Video Captioning with Retrieve-Copy-Generate Network
    • [cs.CV]Optimized Object Tracking Technique Using Kalman Filter
    • [cs.CV]Parser-Free Virtual Try-on via Distilling Appearance Flows
    • [cs.CV]PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization
    • [cs.CV]Pixel-wise Anomaly Detection in Complex Driving Scenes
    • [cs.CV]Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification
    • [cs.CV]Point-supervised Segmentation of Microscopy Images and Volumes via Objectness Regularization
    • [cs.CV]PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
    • [cs.CV]Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation
    • [cs.CV]QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information
    • [cs.CV]Repurposing GANs for One-shot Semantic Part Segmentation
    • [cs.CV]ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection
    • [cs.CV]Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
    • [cs.CV]Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
    • [cs.CV]SimTriplet: Simple Triplet Representation Learning with a Single GPU
    • [cs.CV]Stabilized Medical Image Attacks
    • [cs.CV]TS-Net: OCR Trained to Switch Between Text Transcription Styles
    • [cs.CV]The Weakly-Labeled Rand Index
    • [cs.CV]Thumbnail: A Novel Data Augmentation for Convolutional Neural Network
    • [cs.CV]Uncertainty-aware Incremental Learning for Multi-organ Segmentation
    • [cs.CV]Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
    • [cs.CV]Universal Undersampled MRI Reconstruction
    • [cs.CV]Use square root affinity to regress labels in semantic segmentation
    • [cs.CV]Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
    • [cs.CV]unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation
    • [cs.CY]Implementation of Departmental and Periodical Examination Analyzer System
    • [cs.CY]PEAK SHIFT ESTIMATION A novel method to estimate ranking of selectively omitted examination data
    • [cs.CY]Performing Creativity With Computational Tools
    • [cs.CY]When is it permissible for artificial intelligence to lie? A trust-based approach
    • [cs.DC]DISC: A Dynamic Shape Compiler for Machine Learning Workloads
    • [cs.DC]Fast tree-based algorithms for DBSCAN on GPUs
    • [cs.DC]Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies
    • [cs.DC]MapVisual: A Visualization Tool for Memory Access Patterns
    • [cs.DC]Near-zero Downtime Recovery from Transient-error-induced Crashes
    • [cs.DS]Streaming Hypergraph Partitioning Algorithms on Limited Memory Environments
    • [cs.ET]Saturating Receiver and Receptor Competition in Synaptic DMC: Deterministic and Statistical Signal Models
    • [cs.GT]Optimal Pricing with a Single Point
    • [cs.HC]Explanations in Autonomous Driving: A Survey
    • [cs.HC]Trade-offs in the Design of Multimodal Interaction for Older Adults
    • [cs.IR]CEQE: Contextualized Embeddings for Query Expansion
    • [cs.IR]Rudder: A Cross Lingual Video and Text Retrieval Dataset
    • [cs.IT]140 GHz Urban Microcell Propagation Measurements for Spatial Consistency Modeling
    • [cs.IT]A Cascaded Multi-IRSs Beamforming Method in mmWave Communication Systems
    • [cs.IT]A New Metric on Symmetric Group and Application to Block Permutation Codes
    • [cs.IT]Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selection
    • [cs.IT]Non-Coherent Modulation for RIS-Empowered Multi-Antenna OFDM Communications
    • [cs.IT]One-Sided 今日学术视野(2021.3.11) - 图2-Orthogonal Matrices Over Finite Semi-Local Rings And Their Codes
    • [cs.IT]Outdoor sub-THz Position Location and Tracking using Field Measurements at 142 GHz
    • [cs.IT]Robust Sensing of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition
    • [cs.IT]Uncorrelated binary sequences of lengths 2a3b4c5d7e11f13g based on nested Barker codes and complementary sequences
    • [cs.IT]User Association in Scalable Cell-Free Massive MIMO Systems
    • [cs.LG]A Discriminative Vectorial Framework for Multi-modal Feature Representation
    • [cs.LG]A Mask R-CNN approach to counting bacterial colony forming units in pharmaceutical development
    • [cs.LG]An Introduction to Deep Generative Modeling
    • [cs.LG]Analytically Tractable Inference in Deep Neural Networks
    • [cs.LG]Challenges for Reinforcement Learning in Healthcare
    • [cs.LG]Classification and Feature Transformation with Fuzzy Cognitive Maps
    • [cs.LG]Computational Impact Time Guidance: A Learning-Based Prediction-Correction Approach
    • [cs.LG]Constrained Learning with Non-Convex Losses
    • [cs.LG]Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
    • [cs.LG]Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
    • [cs.LG]Deep Real-Time Decoding of bimanual grip force from EEG & fNIRS
    • [cs.LG]Deep Transfer Learning for WiFi Localization
    • [cs.LG]Discrete Function Bases and Convolutional Neural Networks
    • [cs.LG]Domain-Robust Visual Imitation Learning with Mutual Information Constraints
    • [cs.LG]Dory: Overcoming Barriers to Computing Persistent Homology
    • [cs.LG]Dynamic Pricing and Learning under the Bass Model
    • [cs.LG]Generating Reliable Process Event Streams and Time Series Data based on Neural Networks
    • [cs.LG]HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks
    • [cs.LG]Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding
    • [cs.LG]Learning to Play Soccer From Scratch: Sample-Efficient Emergent Coordination through Curriculum-Learning and Competition
    • [cs.LG]Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing
    • [cs.LG]Model Complexity of Deep Learning: A Survey
    • [cs.LG]Model-free Policy Learning with Reward Gradients
    • [cs.LG]More data or more parameters? Investigating the effect of data structure on generalization
    • [cs.LG]Multimodal fusion using sparse CCA for breast cancer survival prediction
    • [cs.LG]Non-stationary Linear Bandits Revisited
    • [cs.LG]On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
    • [cs.LG]Practical Relative Order Attack in Deep Ranking
    • [cs.LG]Pretrained Transformers as Universal Computation Engines
    • [cs.LG]Proof-of-Learning: Definitions and Practice
    • [cs.LG]Self-learning Machines based on Hamiltonian Echo Backpropagation
    • [cs.LG]Simplicial Complex Representation Learning
    • [cs.LG]Size-Invariant Graph Representations for Graph Classification Extrapolations
    • [cs.LG]Symbolic integration by integrating learning models with different strengths and weaknesses
    • [cs.LG]Transfer Learning Can Outperform the True Prior in Double Descent Regularization
    • [cs.LG]UnICORNN: A recurrent model for learning very long time dependencies
    • [cs.LG]hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
    • [cs.NE]Biogeography-Based Optimization of RC structures including static soil-structure interaction
    • [cs.NI]Performance Limits of Neighbor Discovery in Wireless Networks
    • [cs.PL]Optimal Program Synthesis Over Noisy Data
    • [cs.RO]A Riemannian Metric for Geometry-Aware Singularity Avoidance by Articulated Robots
    • [cs.RO]A Scavenger Hunt for Service Robots
    • [cs.RO]A model-based framework for learning transparent swarm behaviors
    • [cs.RO]Advances in Inference and Representation for Simultaneous Localization and Mapping
    • [cs.RO]Are We Ready for Unmanned Surface Vehicles in Inland Waterways? The USVInland Multisensor Dataset and Benchmark
    • [cs.RO]Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks
    • [cs.RO]Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning
    • [cs.RO]Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping
    • [cs.RO]Efficient learning of goal-oriented push-grasping synergy in clutter
    • [cs.RO]Extended Task and Motion Planning of Long-horizon Robot Manipulation
    • [cs.RO]I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation
    • [cs.RO]Integrating Fast Regional Optimization into Sampling-based Kinodynamic Planning for Multirotor Flight
    • [cs.RO]LCDNet: Deep Loop Closure Detection for LiDAR SLAM based on Unbalanced Optimal Transport
    • [cs.RO]Learning Connectivity for Data Distribution in Robot Teams
    • [cs.RO]Orientation to Pose: Continuum Robots Shape Sensing Based on Piecewise Polynomial Curvature Model
    • [cs.RO]Passive Flow Control for Series Inflatable Actuators: Application on a Wearable Soft-Robot for Posture Assistance
    • [cs.RO]Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty
    • [cs.SD]GAN Vocoder: Multi-Resolution Discriminator Is All You Need
    • [cs.SE]Mining Program Properties From Neural Networks Trained on Source Code Embeddings
    • [cs.SE]Software Development During COVID-19 Pandemic: an Analysis of Stack Overflow and GitHub
    • [cs.SI]Correlation analysis of nodes and edges centrality measures in artificial complex networks
    • [cs.SI]Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data
    • [econ.EM]Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models
    • [eess.AS]A Parallelizable Lattice Rescoring Strategy with Neural Language Models
    • [eess.IV]2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks
    • [eess.IV]3D-QCNet — A Pipeline for Automated Artifact Detection in Diffusion MRI images
    • [eess.IV]ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network
    • [eess.IV]Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM)
    • [eess.IV]CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection
    • [eess.IV]Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
    • [eess.IV]Deep learning-based super-resolution fluorescence microscopy on small datasets
    • [eess.IV]Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation
    • [eess.IV]Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations
    • [eess.IV]Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics
    • [eess.IV]Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT
    • [eess.SP]Semantic Communications in Networked Systems
    • [eess.SY]Approximate Optimal Filter for Linear Gaussian Time-invariant Systems
    • [eess.SY]Formal Verification of Stochastic Systems with ReLU Neural Network Controllers
    • [math.OC]Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems
    • [math.OC]Combining Gaussian processes and polynomial chaos expansions for stochastic nonlinear model predictive control
    • [math.OC]On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization
    • [math.PR]Parametric Estimation for Processes Driven by Infinite Dimensional Mixed Fractional Brownian Motion
    • [math.PR]Quantitative CLT for linear eigenvalue statistics of Wigner matrices
    • [math.ST]An Identity for Expectations and Characteristic Function of Matrix Variate Skew-normalDistribution with Applications to Associated Stochastic Orderings
    • [math.ST]Column randomization and almost-isometric embeddings
    • [math.ST]Joint Network Topology Inference via Structured Fusion Regularization
    • [math.ST]Maximum Likelihood Estimation for Hawkes Processes with self-excitation or inhibition
    • [math.ST]On testing mean proportionality of multivariate normal variables
    • [physics.flu-dyn]Machine Learning versus Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel
    • [physics.soc-ph]The Physics of Financial Networks
    • [physics.soc-ph]Urban Epidemic Hazard Index for Chinese Cities: Why Did Small Cities Become Epidemic Hotspots?
    • [q-bio.NC]Statistical Neuroscience in the Single Trial Limit
    • [q-fin.RM]Multivariate tail covariance for generalized skew-elliptical distributions
    • [quant-ph]Variational quantum policies for reinforcement learning
    • [stat.AP]An analysis of European crash data and scenario specification for heavy truck safety system development within the AEROFLEX project
    • [stat.AP]Low-Rank Tensor Regression for X-Ray Tomography
    • [stat.ME]Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
    • [stat.ME]Bias-Corrected Peaks-Over-Threshold Estimation of the CVaR
    • [stat.ME]Covariate-informed latent interaction models: Addressing geographic & taxonomic bias in predicting bird-plant interactions
    • [stat.ME]Estimating intervention effects on infectious disease control: the effect of community mobility reduction on Coronavirus spread
    • [stat.ME]The Effect of Stroke on Dementia Onset: Left-Truncation and Right-Censoring
    • [stat.ME]The Efficient Shrinkage Path: Maximum Likelihood of Minimum MSE Risk
    • [stat.ML]A prior-based approximate latent Riemannian metric
    • [stat.ML]Active Testing: Sample-Efficient Model Evaluation
    • [stat.ML]Continual Density Ratio Estimation in an Online Setting
    • [stat.ML]Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings
    • [stat.ML]Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
    • [stat.ML]Forest Guided Smoothing
    • [stat.ML]Nearest Neighbor Search Under Uncertainty

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

    • [astro-ph.SR]Exploring Coronal Heating Using Unsupervised Machine-Learning
    Shabbir Bawaji, Ujjaini Alam, Surajit Mondal, Divya Oberoi
    http://arxiv.org/abs/2103.05371v1

    • [cs.AI]A Survey Of Embodied AI: From Simulator To Research Tasks
    Jiafei Duan, Samson Yu, Tan Hui Li, Hongyuan Zhu, Cheston Tan
    http://arxiv.org/abs/2103.04918v2

    • [cs.AI]Efficient Algorithms for Global Inference in Internet Marketplaces
    Rohan Ramanath, Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu
    http://arxiv.org/abs/2103.05277v1

    • [cs.AI]From Classical to Hierarchical: benchmarks for the HTN Track of the International Planning Competition
    Damien Pellier, Humbert Fiorino
    http://arxiv.org/abs/2103.05481v1

    • [cs.AI]Monte Carlo Tree Search: A Review of Recent Modifications and Applications
    Maciej Świechowski, Konrad Godlewski, Bartosz Sawicki, Jacek Mańdziuk
    http://arxiv.org/abs/2103.04931v2

    • [cs.AI]PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data
    Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
    http://arxiv.org/abs/2103.05564v1

    • [cs.CL]A Topological Approach to Compare Document Semantics Based on a New Variant of Syntactic N-grams
    Fanchao Meng
    http://arxiv.org/abs/2103.05135v1

    • [cs.CL]AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin
    Bonaventure F. P. Dossou, Mohammed Sabry
    http://arxiv.org/abs/2103.05132v1

    • [cs.CL]BERTese: Learning to Speak to BERT
    Adi Haviv, Jonathan Berant, Amir Globerson
    http://arxiv.org/abs/2103.05327v1

    • [cs.CL]Comparing Approaches to Dravidian Language Identification
    Tommi Jauhiainen, Tharindu Ranasinghe, Marcos Zampieri
    http://arxiv.org/abs/2103.05552v1

    • [cs.CL]Contrastive Semi-supervised Learning for ASR
    Alex Xiao, Christian Fuegen, Abdelrahman Mohamed
    http://arxiv.org/abs/2103.05149v1

    • [cs.CL]Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company’s Reputation
    Nikolay Babakov, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko
    http://arxiv.org/abs/2103.05345v1

    • [cs.CL]Domain Controlled Title Generation with Human Evaluation
    Abdul Waheed, Muskan Goyal, Nimisha Mittal, Deepak Gupta
    http://arxiv.org/abs/2103.05069v1

    • [cs.CL]Fast and Effective Biomedical Entity Linking Using a Dual Encoder
    Rajarshi Bhowmik, Karl Stratos, Gerard de Melo
    http://arxiv.org/abs/2103.05028v1

    • [cs.CL]Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data
    Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen, Ulli Waltinger, Hinrich Schuetze
    http://arxiv.org/abs/2103.05131v1

    • [cs.CL]Improving Document-Level Sentiment Classification Using Importance of Sentences
    Gihyeon Choi, Shinhyeok Oh, Harksoo Kim
    http://arxiv.org/abs/2103.05167v1

    • [cs.CL]Self-supervised Regularization for Text Classification
    Meng Zhou, Zechen Li, Pengtao Xie
    http://arxiv.org/abs/2103.05231v1

    • [cs.CL]Text Simplification by Tagging
    Kostiantyn Omelianchuk, Vipul Raheja, Oleksandr Skurzhanskyi
    http://arxiv.org/abs/2103.05070v1

    • [cs.CL]Translating the Unseen? Yorùbá 今日学术视野(2021.3.11) - 图3 English MT in Low-Resource, Morphologically-Unmarked Settings
    Ife Adebara, Muhammad Abdul-Mageed, Miikka Silfverberg
    http://arxiv.org/abs/2103.04225v2

    • [cs.CR]Deep Learning for Android Malware Defenses: a Systematic Literature Review
    Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
    http://arxiv.org/abs/2103.05292v1

    • [cs.CR]PeQES: A Platform for Privacy-enhanced Quantitative Empirical Studies
    Dominik Meißner, Felix Engelmann, Frank Kargl, Benjamin Erb
    http://arxiv.org/abs/2103.05544v1

    • [cs.CR]Robust Black-box Watermarking for Deep NeuralNetwork using Inverse Document Frequency
    Mohammad Mehdi Yadollahi, Farzaneh Shoeleh, Sajjad Dadkhah, Ali A. Ghorbani
    http://arxiv.org/abs/2103.05590v1

    • [cs.CR]Selective and Features based Adversarial Example Detection
    Ahmed Aldahdooh, Wassim Hamidouche, Olivier Déforges
    http://arxiv.org/abs/2103.05354v1

    • [cs.CR]Universal Adversarial Perturbations and Image Spam Classifiers
    Andy Phung, Mark Stamp
    http://arxiv.org/abs/2103.05469v1

    • [cs.CV]A Data Augmentation Method by Mixing Up Negative Candidate Answers for Solving Raven’s Progressive Matrices
    Wentao He, Jialu Zhang, Chenglin Yao, Shihe Wang, Jianfeng Ren, Ruibin Bai
    http://arxiv.org/abs/2103.05222v1

    • [cs.CV]Anomalous entities detection using a cascade of deep learning models
    Hamza Riaz, Muhammad Uzair, Habib Ullah
    http://arxiv.org/abs/2103.05164v1

    • [cs.CV]BASAR:Black-box Attack on Skeletal Action Recognition
    Yunfeng Diao, Tianjia Shao, Yong-Liang Yang, Kun Zhou, He Wang
    http://arxiv.org/abs/2103.05266v1

    • [cs.CV]Bio-Inspired Representation Learning for Visual Attention Prediction
    Yuan Yuan, Xiaoqiang Lu
    http://arxiv.org/abs/2103.05310v1

    • [cs.CV]ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments
    Jin-Man Park, Jae-Hyuk Jang, Sahng-Min Yoo, Sun-Kyung Lee, Ue-Hwan Kim, Jong-Hwan Kim
    http://arxiv.org/abs/2103.05368v1

    • [cs.CV]Contemplating real-world object classification
    Ali Borji
    http://arxiv.org/abs/2103.05137v1

    • [cs.CV]Contrastive Neural Architecture Search with Neural Architecture Comparators
    Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Yaowei Wang, Wei Zeng, Mingkui Tan
    http://arxiv.org/abs/2103.05471v1

    • [cs.CV]Deep Learning based 3D Segmentation: A Survey
    Yong He, Hongshan Yu, Xiaoyan Liu, Zhengeng Yang, Wei Sun, Yaonan Wang, Qiang Fu, Yanmei Zou, Ajmal Main
    http://arxiv.org/abs/2103.05423v1

    • [cs.CV]Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography
    Hakdong Kim, Heonyeong Lim, Minkyu Jee, Yurim Lee, Jisoo Jeong, Kyudam Choi, MinSung Yoon, Cheongwon Kim
    http://arxiv.org/abs/2103.05158v1

    • [cs.CV]DeepSeagrass Dataset
    Scarlett Raine, Ross Marchant, Peyman Moghadam, Frederic Maire, Brett Kettle, Brano Kusy
    http://arxiv.org/abs/2103.05226v1

    • [cs.CV]Differentially Private Imaging via Latent Space Manipulation
    Tao Li, Chris Clifton
    http://arxiv.org/abs/2103.05472v1

    • [cs.CV]Doubly Contrastive Deep Clustering
    Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang
    http://arxiv.org/abs/2103.05484v1

    • [cs.CV]Enhancing Medical Image Registration via Appearance Adjustment Networks
    Mingyuan Meng, Lei Bi, Michael Fulham, David Dagan Feng, Jinman Kim
    http://arxiv.org/abs/2103.05213v1

    • [cs.CV]Enhancing sensor resolution improves CNN accuracy given the same number of parameters or FLOPS
    Ali Borji
    http://arxiv.org/abs/2103.05251v1

    • [cs.CV]Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis
    Chaoyi Zhang, Jianhui Yu, Yang Song, Weidong Cai
    http://arxiv.org/abs/2103.05558v1

    • [cs.CV]FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
    Xian Sun, Peijin Wang, Zhiyuan Yan, Cheng Wang, Wenhui Diao, Jin Chen, Jihao Li, Yingchao Feng, Tao Xu, Martin Weinmann, Stefan Hinz, Kun Fu
    http://arxiv.org/abs/2103.05569v1

    • [cs.CV]ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
    Yinan He, Bei Gan, Siyu Chen, Yichun Zhou, Guojun Yin, Luchuan Song, Lu Sheng, Jing Shao, Ziwei Liu
    http://arxiv.org/abs/2103.05630v1

    • [cs.CV]Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation
    Yaxin Shi, Xiaowei Zhou, Ping Liu, Ivor Tsang
    http://arxiv.org/abs/2103.05193v1

    • [cs.CV]How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines
    Kunal Chelani, Fredrik Kahl, Torsten Sattler
    http://arxiv.org/abs/2103.05086v1

    • [cs.CV]Instance and Pair-Aware Dynamic Networks for Re-Identification
    Bingliang Jiao, Xin Tan, Lu Yang, Yunlong Wang, Peng Wang
    http://arxiv.org/abs/2103.05395v1

    • [cs.CV]Interpretable Attention Guided Network for Fine-grained Visual Classification
    Zhenhuan Huang, Xiaoyue Duan, Bo Zhao, Jinhu Lü, Baochang Zhang
    http://arxiv.org/abs/2103.04701v2

    • [cs.CV]Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning
    Mingjie Sun, Jimin Xiao, Eng Gee Lim
    http://arxiv.org/abs/2103.05187v1

    • [cs.CV]Knowledge Evolution in Neural Networks
    Ahmed Taha, Abhinav Shrivastava, Larry Davis
    http://arxiv.org/abs/2103.05152v1

    • [cs.CV]Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation
    Chaohao Xie, Dongwei Ren, Lei Wang, Qinghua Hu, Liang Lin, Wangmeng Zuo
    http://arxiv.org/abs/2103.05463v1

    • [cs.CV]MWQ: Multiscale Wavelet Quantized Neural Networks
    Qigong Sun, Yan Ren, Licheng Jiao, Xiufang Li, Fanhua Shang, Fang Liu
    http://arxiv.org/abs/2103.05363v1

    • [cs.CV]MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
    Xiaoqing Guo, Chen Yang, Baopu Li, Yixuan Yuan
    http://arxiv.org/abs/2103.05254v1

    • [cs.CV]Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles
    Jevgenij Gamper, Nasir Rajpoot
    http://arxiv.org/abs/2103.05121v1

    • [cs.CV]NaroNet: Objective-based learning of the tumor microenvironment from highly multiplexed immunostained images
    Daniel Jiménez-Sánchez, Mikel Ariz, Hang Chang, Xavier Matias-Guiu, Carlos E. de Andrea, Carlos Ortiz-de-Solórzano
    http://arxiv.org/abs/2103.05385v1

    • [cs.CV]NeX: Real-time View Synthesis with Neural Basis Expansion
    Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai, Supasorn Suwajanakorn
    http://arxiv.org/abs/2103.05606v1

    • [cs.CV]OPANAS: One-Shot Path Aggregation Network Architecture Search for Object
    Tingting Liang, Yongtao Wang, Guosheng Hu, Zhi Tang, Haibin Ling
    http://arxiv.org/abs/2103.04507v1

    • [cs.CV]Offboard 3D Object Detection from Point Cloud Sequences
    Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
    http://arxiv.org/abs/2103.05073v1

    • [cs.CV]Open-book Video Captioning with Retrieve-Copy-Generate Network
    Ziqi Zhang, Zhongang Qi, Chunfeng Yuan, Ying Shan, Bing Li, Ying Deng, Weiming Hu
    http://arxiv.org/abs/2103.05284v1

    • [cs.CV]Optimized Object Tracking Technique Using Kalman Filter
    Liana Ellen Taylor, Midriem Mirdanies, Roni Permana Saputra
    http://arxiv.org/abs/2103.05467v1

    • [cs.CV]Parser-Free Virtual Try-on via Distilling Appearance Flows
    Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, Ping Luo
    http://arxiv.org/abs/2103.04559v2

    • [cs.CV]PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization
    Xin Qin, Hanbin Zhao, Guangchen Lin, Hao Zeng, Songcen Xu, Xi Li
    http://arxiv.org/abs/2103.05270v1

    • [cs.CV]Pixel-wise Anomaly Detection in Complex Driving Scenes
    Giancarlo Di Biase, Hermann Blum, Roland Siegwart, Cesar Cadena
    http://arxiv.org/abs/2103.05445v1

    • [cs.CV]Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification
    Lu Yang, Hongbang Liu, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang, Yanning Zhang
    http://arxiv.org/abs/2103.05376v1

    • [cs.CV]Point-supervised Segmentation of Microscopy Images and Volumes via Objectness Regularization
    Shijie Li, Neel Dey, Katharina Bermond, Leon von der Emde, Christine A. Curcio, Thomas Ach, Guido Gerig
    http://arxiv.org/abs/2103.05617v1

    • [cs.CV]PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
    Xuyang Bai, Zixin Luo, Lei Zhou, Hongkai Chen, Lei Li, Zeyu Hu, Hongbo Fu, Chiew-Lan Tai
    http://arxiv.org/abs/2103.05465v1

    • [cs.CV]Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation
    Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang
    http://arxiv.org/abs/2103.05271v1

    • [cs.CV]QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information
    Masato Tamura, Hiroki Ohashi, Tomoaki Yoshinaga
    http://arxiv.org/abs/2103.05399v1

    • [cs.CV]Repurposing GANs for One-shot Semantic Part Segmentation
    Nontawat Tritrong, Pitchaporn Rewatbowornwong, Supasorn Suwajanakorn
    http://arxiv.org/abs/2103.04379v2

    • [cs.CV]ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection
    Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi
    http://arxiv.org/abs/2103.05346v1

    • [cs.CV]Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
    Aman Jain, Mayank Kothyari, Vishwajeet Kumar, Preethi Jyothi, Ganesh Ramakrishnan, Soumen Chakrabarti
    http://arxiv.org/abs/2103.05568v1

    • [cs.CV]Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
    Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu
    http://arxiv.org/abs/2103.05170v1

    • [cs.CV]SimTriplet: Simple Triplet Representation Learning with a Single GPU
    Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo
    http://arxiv.org/abs/2103.05585v1

    • [cs.CV]Stabilized Medical Image Attacks
    Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng
    http://arxiv.org/abs/2103.05232v1

    • [cs.CV]TS-Net: OCR Trained to Switch Between Text Transcription Styles
    Jan Kohút, Michal Hradiš
    http://arxiv.org/abs/2103.05489v1

    • [cs.CV]The Weakly-Labeled Rand Index
    Dylan Stewart, Anna Hampton, Alina Zare, Jeff Dale, James Keller
    http://arxiv.org/abs/2103.04872v2

    • [cs.CV]Thumbnail: A Novel Data Augmentation for Convolutional Neural Network
    Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu
    http://arxiv.org/abs/2103.05342v1

    • [cs.CV]Uncertainty-aware Incremental Learning for Multi-organ Segmentation
    Yuhang Zhou, Xiaoman Zhang, Shixiang Feng, Ya Zhang, Yanfeng
    http://arxiv.org/abs/2103.05227v1

    • [cs.CV]Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
    He Wang, Feixiang He, Zhexi Peng, Yong-Liang Yang, Tianjia Shao, Kun Zhou, David Hogg
    http://arxiv.org/abs/2103.05347v1

    • [cs.CV]Universal Undersampled MRI Reconstruction
    Xinwen Liu, Jing Wang, Feng Liu, S. Kevin Zhou
    http://arxiv.org/abs/2103.05214v1

    • [cs.CV]Use square root affinity to regress labels in semantic segmentation
    Lumeng Cao, Zhouwang Yang
    http://arxiv.org/abs/2103.04990v1

    • [cs.CV]Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
    Xuelong Li, Kai Kou, Bin Zhao
    http://arxiv.org/abs/2103.05422v1

    • [cs.CV]unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation
    Stylianos I. Venieris, Javier Fernandez-Marques, Nicholas D. Lane
    http://arxiv.org/abs/2103.05600v1

    • [cs.CY]Implementation of Departmental and Periodical Examination Analyzer System
    Julius G. Garcia, Connie C. Aunario
    http://arxiv.org/abs/2103.05252v1

    • [cs.CY]PEAK SHIFT ESTIMATION A novel method to estimate ranking of selectively omitted examination data
    Satoshi Takahashi, Masaki Kitazawa, Ryoma Aoki, Atsushi Yoshikawa
    http://arxiv.org/abs/2103.05479v1

    • [cs.CY]Performing Creativity With Computational Tools
    Daniel Lopes, Jéssica Parente, Pedro Silva, Licínio Roque, Penousal machado
    http://arxiv.org/abs/2103.05533v1

    • [cs.CY]When is it permissible for artificial intelligence to lie? A trust-based approach
    Tae Wan Kim, Tong, Lu, Kyusong Lee, Zhaoqi Cheng, Yanhan Tang, John Hooker
    http://arxiv.org/abs/2103.05434v1

    • [cs.DC]DISC: A Dynamic Shape Compiler for Machine Learning Workloads
    Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin
    http://arxiv.org/abs/2103.05288v1

    • [cs.DC]Fast tree-based algorithms for DBSCAN on GPUs
    Andrey Prokopenko, Damien Lebrun-Grandie, Daniel Arndt
    http://arxiv.org/abs/2103.05162v1

    • [cs.DC]Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies
    Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao
    http://arxiv.org/abs/2103.05245v1

    • [cs.DC]MapVisual: A Visualization Tool for Memory Access Patterns
    Pavlos Aimoniotis, Maria Rafaela Gkeka, Nikolaos Bellas
    http://arxiv.org/abs/2103.05436v1

    • [cs.DC]Near-zero Downtime Recovery from Transient-error-induced Crashes
    Chao Chen, Greg Eisenhauer, Santosh Pande
    http://arxiv.org/abs/2103.05185v1

    • [cs.DS]Streaming Hypergraph Partitioning Algorithms on Limited Memory Environments
    Fatih Taşyaran, Berkay Demireller, Kamer Kaya, Bora Uçar
    http://arxiv.org/abs/2103.05394v1

    • [cs.ET]Saturating Receiver and Receptor Competition in Synaptic DMC: Deterministic and Statistical Signal Models
    Sebastian Lotter, Maximilian Schäfer, Johannes Zeitler, Robert Schober
    http://arxiv.org/abs/2103.05341v1

    • [cs.GT]Optimal Pricing with a Single Point
    Amine Allouah, Achraf Bahamou, Omar Besbes
    http://arxiv.org/abs/2103.05611v1

    • [cs.HC]Explanations in Autonomous Driving: A Survey
    Daniel Omeiza, Helena Webb, Marina Jirotka, Lars Kunze
    http://arxiv.org/abs/2103.05154v1

    • [cs.HC]Trade-offs in the Design of Multimodal Interaction for Older Adults
    Gianluca Schiavo, Ornella Mich, Michela Ferron, Nadia Mana
    http://arxiv.org/abs/2103.05309v1

    • [cs.IR]CEQE: Contextualized Embeddings for Query Expansion
    Shahrzad Naseri, Jeffrey Dalton, Andrew Yates, James Allan
    http://arxiv.org/abs/2103.05256v1

    • [cs.IR]Rudder: A Cross Lingual Video and Text Retrieval Dataset
    Jayaprakash A, Abhishek, Rishabh Dabral, Ganesh Ramakrishnan, Preethi Jyothi
    http://arxiv.org/abs/2103.05457v1

    • [cs.IT]140 GHz Urban Microcell Propagation Measurements for Spatial Consistency Modeling
    Shihao Ju, Theodore S. Rappaport
    http://arxiv.org/abs/2103.05496v1

    • [cs.IT]A Cascaded Multi-IRSs Beamforming Method in mmWave Communication Systems
    Renjie Liang, Jiancun Fan, Yimeng Ge
    http://arxiv.org/abs/2103.05156v1

    • [cs.IT]A New Metric on Symmetric Group and Application to Block Permutation Codes
    Chaoping Xing, Zihan Zhang
    http://arxiv.org/abs/2103.05204v1

    • [cs.IT]Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selection
    Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
    http://arxiv.org/abs/2103.05541v1

    • [cs.IT]Non-Coherent Modulation for RIS-Empowered Multi-Antenna OFDM Communications
    Kun Chen-Hu, George C. Alexandropoulos, Ana García Armada
    http://arxiv.org/abs/2103.05547v1

    • [cs.IT]One-Sided 今日学术视野(2021.3.11) - 图4-Orthogonal Matrices Over Finite Semi-Local Rings And Their Codes
    Virgilio P. Sison, Charles R. Repizo
    http://arxiv.org/abs/2103.05592v1

    • [cs.IT]Outdoor sub-THz Position Location and Tracking using Field Measurements at 142 GHz
    Ojas Kanhere, Theodore S. Rappaport
    http://arxiv.org/abs/2103.05219v1

    • [cs.IT]Robust Sensing of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition
    Johannes Maly
    http://arxiv.org/abs/2103.05523v1

    • [cs.IT]Uncorrelated binary sequences of lengths 2a3b4c5d7e11f13g based on nested Barker codes and complementary sequences
    Patricio G. Donato, Matias N. Hadad, Marcos A. Funes
    http://arxiv.org/abs/2103.05042v1

    • [cs.IT]User Association in Scalable Cell-Free Massive MIMO Systems
    Carmen D’Andrea, Erik G. Larsson
    http://arxiv.org/abs/2103.05321v1

    • [cs.LG]A Discriminative Vectorial Framework for Multi-modal Feature Representation
    Lei Gao, Ling Guan
    http://arxiv.org/abs/2103.05597v1

    • [cs.LG]A Mask R-CNN approach to counting bacterial colony forming units in pharmaceutical development
    Tanguy Naets, Maarten Huijsmans, Paul Smyth, Laurent Sorber, Gaël de Lannoy
    http://arxiv.org/abs/2103.05337v1

    • [cs.LG]An Introduction to Deep Generative Modeling
    Lars Ruthotto, Eldad Haber
    http://arxiv.org/abs/2103.05180v1

    • [cs.LG]Analytically Tractable Inference in Deep Neural Networks
    Luong-Ha Nguyen, James-A. Goulet
    http://arxiv.org/abs/2103.05461v1

    • [cs.LG]Challenges for Reinforcement Learning in Healthcare
    Elsa Riachi, Muhammad Mamdani, Michael Fralick, Frank Rudzicz
    http://arxiv.org/abs/2103.05612v1

    • [cs.LG]Classification and Feature Transformation with Fuzzy Cognitive Maps
    Piotr Szwed
    http://arxiv.org/abs/2103.05124v1

    • [cs.LG]Computational Impact Time Guidance: A Learning-Based Prediction-Correction Approach
    Zichao Liu, Jiang Wang, Shaoming He, Hyo-Sang Shin, Antonios Tsourdos
    http://arxiv.org/abs/2103.05196v1

    • [cs.LG]Constrained Learning with Non-Convex Losses
    Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
    http://arxiv.org/abs/2103.05134v1

    • [cs.LG]Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
    Zachary Charles, Jakub Konečný
    http://arxiv.org/abs/2103.05032v1

    • [cs.LG]Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
    Renyi Chen, Molei Tao
    http://arxiv.org/abs/2103.05632v1

    • [cs.LG]Deep Real-Time Decoding of bimanual grip force from EEG & fNIRS
    Pablo Ortega, Tong Zhao, Aldo Faisal
    http://arxiv.org/abs/2103.05334v1

    • [cs.LG]Deep Transfer Learning for WiFi Localization
    Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert Piechocki, Angela Doufexi, Tim Farnham
    http://arxiv.org/abs/2103.05123v1

    • [cs.LG]Discrete Function Bases and Convolutional Neural Networks
    Andreas Stöckel
    http://arxiv.org/abs/2103.05609v1

    • [cs.LG]Domain-Robust Visual Imitation Learning with Mutual Information Constraints
    Edoardo Cetin, Oya Celiktutan
    http://arxiv.org/abs/2103.05079v1

    • [cs.LG]Dory: Overcoming Barriers to Computing Persistent Homology
    Manu Aggarwal, Vipul Periwal
    http://arxiv.org/abs/2103.05608v1

    • [cs.LG]Dynamic Pricing and Learning under the Bass Model
    Shipra Agrawal, Steven Yin, Assaf Zeevi
    http://arxiv.org/abs/2103.05199v1

    • [cs.LG]Generating Reliable Process Event Streams and Time Series Data based on Neural Networks
    Tobias Herbert, Juergen Mangler, Stefanie Rinderle-Ma
    http://arxiv.org/abs/2103.05462v1

    • [cs.LG]HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks
    Pablo Ortega
    http://arxiv.org/abs/2103.05338v1

    • [cs.LG]Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding
    Xiaoxi Wei, Pablo Ortega, A. Aldo Faisal
    http://arxiv.org/abs/2103.05351v1

    • [cs.LG]Learning to Play Soccer From Scratch: Sample-Efficient Emergent Coordination through Curriculum-Learning and Competition
    Pavan Samtani, Francisco Leiva, Javier Ruiz-del-Solar
    http://arxiv.org/abs/2103.05174v1

    • [cs.LG]Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing
    Andy Zhou, Rikky Muller, Jan Rabaey
    http://arxiv.org/abs/2103.05267v1

    • [cs.LG]Model Complexity of Deep Learning: A Survey
    Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian
    http://arxiv.org/abs/2103.05127v1

    • [cs.LG]Model-free Policy Learning with Reward Gradients
    Qingfeng Lan, A. Rupam Mahmood
    http://arxiv.org/abs/2103.05147v1

    • [cs.LG]More data or more parameters? Investigating the effect of data structure on generalization
    Stéphane d’Ascoli, Marylou Gabrié, Levent Sagun, Giulio Biroli
    http://arxiv.org/abs/2103.05524v1

    • [cs.LG]Multimodal fusion using sparse CCA for breast cancer survival prediction
    Vaishnavi Subramanian, Tanveer Syeda-Mahmood, Minh N. Do
    http://arxiv.org/abs/2103.05432v1

    • [cs.LG]Non-stationary Linear Bandits Revisited
    Peng Zhao, Lijun Zhang
    http://arxiv.org/abs/2103.05324v1

    • [cs.LG]On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
    Peizhong Ju, Xiaojun Lin, Ness B. Shroff
    http://arxiv.org/abs/2103.05243v1

    • [cs.LG]Practical Relative Order Attack in Deep Ranking
    Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng, Gang Hua
    http://arxiv.org/abs/2103.05248v1

    • [cs.LG]Pretrained Transformers as Universal Computation Engines
    Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch
    http://arxiv.org/abs/2103.05247v1

    • [cs.LG]Proof-of-Learning: Definitions and Practice
    Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
    http://arxiv.org/abs/2103.05633v1

    • [cs.LG]Self-learning Machines based on Hamiltonian Echo Backpropagation
    Victor Lopez-Pastor, Florian Marquardt
    http://arxiv.org/abs/2103.04992v1

    • [cs.LG]Simplicial Complex Representation Learning
    Mustafa Hajij, Ghada Zamzmi, Xuanting Cai
    http://arxiv.org/abs/2103.04046v2

    • [cs.LG]Size-Invariant Graph Representations for Graph Classification Extrapolations
    Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro
    http://arxiv.org/abs/2103.05045v1

    • [cs.LG]Symbolic integration by integrating learning models with different strengths and weaknesses
    Hazumi Kubota, Yuta Tokuoka, Takahiro G. Yamada, Akira Funahashi
    http://arxiv.org/abs/2103.05497v1

    • [cs.LG]Transfer Learning Can Outperform the True Prior in Double Descent Regularization
    Yehuda Dar, Richard G. Baraniuk
    http://arxiv.org/abs/2103.05621v1

    • [cs.LG]UnICORNN: A recurrent model for learning very long time dependencies
    T. Konstantin Rusch, Siddhartha Mishra
    http://arxiv.org/abs/2103.05487v1

    • [cs.LG]hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
    Farah Fahim, Benjamin Hawks, Christian Herwig, James Hirschauer, Sergo Jindariani, Nhan Tran, Luca P. Carloni, Giuseppe Di Guglielmo, Philip Harris, Jeffrey Krupa, Dylan Rankin, Manuel Blanco Valentin, Josiah Hester, Yingyi Luo, John Mamish, Seda Orgrenci-Memik, Thea Aarestaad, Hamza Javed, Vladimir Loncar, Maurizio Pierini, Adrian Alan Pol, Sioni Summers, Javier Duarte, Scott Hauck, Shih-Chieh Hsu, Jennifer Ngadiuba, Mia Liu, Duc Hoang, Edward Kreinar, Zhenbin Wu
    http://arxiv.org/abs/2103.05579v1

    • [cs.NE]Biogeography-Based Optimization of RC structures including static soil-structure interaction
    I. A. Negrin, D. Roose, E. L. Chagoyen, G. Lombaert
    http://arxiv.org/abs/2103.05129v1

    • [cs.NI]Performance Limits of Neighbor Discovery in Wireless Networks
    Philipp H. Kindt, Samarjit Chakraborty
    http://arxiv.org/abs/2103.05026v1

    • [cs.PL]Optimal Program Synthesis Over Noisy Data
    Shivam Handa, Martin Rinard
    http://arxiv.org/abs/2103.05030v1

    • [cs.RO]A Riemannian Metric for Geometry-Aware Singularity Avoidance by Articulated Robots
    Filip Marić, Luka Petrović, Marko Guberina, Jonathan Kelly, Ivan Petrović
    http://arxiv.org/abs/2103.05362v1

    • [cs.RO]A Scavenger Hunt for Service Robots
    Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, Peter Stone
    http://arxiv.org/abs/2103.05225v1

    • [cs.RO]A model-based framework for learning transparent swarm behaviors
    Mario Coppola, Jian Guo, Eberhard Gill, Guido C. H. E. de Croon
    http://arxiv.org/abs/2103.05343v1

    • [cs.RO]Advances in Inference and Representation for Simultaneous Localization and Mapping
    David M. Rosen, Kevin J. Doherty, Antonio Teran Espinoza, John J. Leonard
    http://arxiv.org/abs/2103.05041v1

    • [cs.RO]Are We Ready for Unmanned Surface Vehicles in Inland Waterways? The USVInland Multisensor Dataset and Benchmark
    Yuwei Cheng, Mengxin Jiang, Jiannan Zhu, Yimin Liu
    http://arxiv.org/abs/2103.05383v1

    • [cs.RO]Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks
    Wenzhao Lian, Tim Kelch, Dirk Holz, Adam Norton, Stefan Schaal
    http://arxiv.org/abs/2103.05140v1

    • [cs.RO]Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning
    Tianhao Zhang, Yueheng Li, Shuai Li, Qiwei Ye, Chen Wang, Guangming Xie
    http://arxiv.org/abs/2103.05293v1

    • [cs.RO]Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping
    Marc Tuscher, Julian Hörz, Danny Driess, Marc Toussaint
    http://arxiv.org/abs/2103.05401v1

    • [cs.RO]Efficient learning of goal-oriented push-grasping synergy in clutter
    Kechun Xu, Hongxiang Yu, Qianen Lai, Yue Wang, Rong Xiong
    http://arxiv.org/abs/2103.05405v1

    • [cs.RO]Extended Task and Motion Planning of Long-horizon Robot Manipulation
    Tianyu Ren, Georgia Chalvatzaki, Jan Peters
    http://arxiv.org/abs/2103.05456v1

    • [cs.RO]I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation
    Nat Wannawas, Ali Shafti, A. Aldo Faisal
    http://arxiv.org/abs/2103.05349v1

    • [cs.RO]Integrating Fast Regional Optimization into Sampling-based Kinodynamic Planning for Multirotor Flight
    Hongkai Ye, Tianyu Liu, Chao Xu, Fei Gao
    http://arxiv.org/abs/2103.05519v1

    • [cs.RO]LCDNet: Deep Loop Closure Detection for LiDAR SLAM based on Unbalanced Optimal Transport
    Daniele Cattaneo, Matteo Vaghi, Abhinav Valada
    http://arxiv.org/abs/2103.05056v1

    • [cs.RO]Learning Connectivity for Data Distribution in Robot Teams
    Ekaterina Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro
    http://arxiv.org/abs/2103.05091v1

    • [cs.RO]Orientation to Pose: Continuum Robots Shape Sensing Based on Piecewise Polynomial Curvature Model
    Hao Cheng, Hongji Shang, Bin Lan, Houde Liu, Xueqian Wang, Bin Liang
    http://arxiv.org/abs/2103.05150v1

    • [cs.RO]Passive Flow Control for Series Inflatable Actuators: Application on a Wearable Soft-Robot for Posture Assistance
    Diego Paez-Granados, Takehiro Yamamoto, Hideki Kadone, Kenji Suzuki
    http://arxiv.org/abs/2103.05332v1

    • [cs.RO]**Risk-Averse RRT Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty
    Sleiman Safaoui, Benjamin J. Gravell, Venkatraman Renganathan, Tyler H. Summers
    http://arxiv.org/abs/2103.05572v1

    • [cs.SD]GAN Vocoder: Multi-Resolution Discriminator Is All You Need
    Jaeseong You, Dalhyun Kim, Gyuhyeon Nam, Geumbyeol Hwang, Gyeongsu Chae
    http://arxiv.org/abs/2103.05236v1

    • [cs.SE]Mining Program Properties From Neural Networks Trained on Source Code Embeddings
    Martina Saletta, Claudio Ferretti
    http://arxiv.org/abs/2103.05442v1

    • [cs.SE]Software Development During COVID-19 Pandemic: an Analysis of Stack Overflow and GitHub
    Pedro Almir Martins de Oliveira, Pedro de Alcântara dos Santos Neto, Gleison Silva, Irvayne Ibiapina, Werney Lira, Rossana Maria de Castro Andrade
    http://arxiv.org/abs/2103.05494v1

    • [cs.SI]Correlation analysis of nodes and edges centrality measures in artificial complex networks
    Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Antonio Liotta
    http://arxiv.org/abs/2103.05427v1

    • [cs.SI]Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data
    Austin R. Benson, David F. Gleich, Desmond J. Higham
    http://arxiv.org/abs/2103.05031v1

    • [econ.EM]Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models
    Alessandro Casini
    http://arxiv.org/abs/2103.02981v1

    • [eess.AS]A Parallelizable Lattice Rescoring Strategy with Neural Language Models
    Ke Li, Daniel Povey, Sanjeev Khudanpur
    http://arxiv.org/abs/2103.05081v1

    • [eess.IV]2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks
    Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
    http://arxiv.org/abs/2103.05259v1

    • [eess.IV]3D-QCNet — A Pipeline for Automated Artifact Detection in Diffusion MRI images
    Adnan Ahmad, Drew Parker, Zahra Riahi Samani, Ragini Verma
    http://arxiv.org/abs/2103.05285v1

    • [eess.IV]ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network
    Sahar Yousefi, Hessam Sokooti, Wouter M. Teeuwisse, Dennis F. R. Heijtel, Aart J. Nederveen, Marius Staring, Matthias J. P. van Osch
    http://arxiv.org/abs/2103.05116v1

    • [eess.IV]Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM)
    Varun Mannam, Yide Zhang, Xiaotong Yuan, Takashi Hato, Pierre C. Dagher, Evan L. Nichols, Cody J. Smith, Kenneth W. Dunn, Scott Howard
    http://arxiv.org/abs/2103.05448v1

    • [eess.IV]CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection
    Abdul Waheed, Muskan Goyal, Deepak Gupta, Ashish Khanna, Fadi Al-Turjman, Placido Rogerio Pinheiro
    http://arxiv.org/abs/2103.05094v1

    • [eess.IV]Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
    K. Ruwani M. Fernando, Chris P. Tsokos
    http://arxiv.org/abs/2103.05529v1

    • [eess.IV]Deep learning-based super-resolution fluorescence microscopy on small datasets
    Varun Mannam, Yide Zhang, Xiaotong Yuan, Scott Howard
    http://arxiv.org/abs/2103.04989v1

    • [eess.IV]Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation
    Ce Wang, Haimiao Zhang, Qian Li, Kun Shang, Yuanyuan Lyu, Bin Dong, S. Kevin. Zhou
    http://arxiv.org/abs/2103.05255v1

    • [eess.IV]Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations
    Seyoun Park, Elliot K. Fishman, Alan L. Yuille
    http://arxiv.org/abs/2103.05525v1

    • [eess.IV]Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics
    Bingxin Gu, Mingyuan Meng, Lei Bi, Jinman Kim, David Dagan Feng, Shaoli Song
    http://arxiv.org/abs/2103.05220v1

    • [eess.IV]Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT
    Ziyang Wang
    http://arxiv.org/abs/2103.05546v1

    • [eess.SP]Semantic Communications in Networked Systems
    Elif Uysal, Onur Kaya, Anthony Ephremides, James Gross, Marian Codreanu, Petar Popovski, Mohamad Assaad, Gianluigi Liva, Andrea Munari, Touraj Soleymani, Beatriz Soret, Karl Henrik Johansson
    http://arxiv.org/abs/2103.05391v1

    • [eess.SY]Approximate Optimal Filter for Linear Gaussian Time-invariant Systems
    Kaiming Tang, Shengbo Eben Li, Yuming Yin, Yang Guan, Jingliang Duan, Wenhan Cao, Jie Li
    http://arxiv.org/abs/2103.05505v1

    • [eess.SY]Formal Verification of Stochastic Systems with ReLU Neural Network Controllers
    Shiqi Sun, Yan Zhang, Xusheng Luo, Panagiotis Vlantis, Miroslav Pajic, Michael M. Zavlanos
    http://arxiv.org/abs/2103.05142v1

    • [math.OC]Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems
    Michal Yemini, Angelia Nedić, Andrea Goldsmith, Stephanie Gil
    http://arxiv.org/abs/2103.05464v1

    • [math.OC]Combining Gaussian processes and polynomial chaos expansions for stochastic nonlinear model predictive control
    E. Bradford, L. Imsland
    http://arxiv.org/abs/2103.05441v1

    • [math.OC]On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization
    Nicolas Emmenegger, Rasmus Kyng, Ahad N. Zehmakan
    http://arxiv.org/abs/2103.05138v1

    • [math.PR]Parametric Estimation for Processes Driven by Infinite Dimensional Mixed Fractional Brownian Motion
    B. L. S. Prakasa Rao
    http://arxiv.org/abs/2103.05264v1

    • [math.PR]Quantitative CLT for linear eigenvalue statistics of Wigner matrices
    Zhigang Bao, Yukun He
    http://arxiv.org/abs/2103.05402v1

    • [math.ST]An Identity for Expectations and Characteristic Function of Matrix Variate Skew-normalDistribution with Applications to Associated Stochastic Orderings
    Tong Pu, Narayanaswamy Balakrishnan, Chuancun Yin
    http://arxiv.org/abs/2103.05197v1

    • [math.ST]Column randomization and almost-isometric embeddings
    Shahar Mendelson
    http://arxiv.org/abs/2103.05237v1

    • [math.ST]Joint Network Topology Inference via Structured Fusion Regularization
    Yanli Yuan, De Wen Soh, Xiao Yang, Kun Guo, Tony Q. S. Quek
    http://arxiv.org/abs/2103.03471v2

    • [math.ST]Maximum Likelihood Estimation for Hawkes Processes with self-excitation or inhibition
    Anna Bonnet, Miguel Herrera, Maxime Sangnier
    http://arxiv.org/abs/2103.05299v1

    • [math.ST]On testing mean proportionality of multivariate normal variables
    Etaash Katiyar, Qingyuan Zhao
    http://arxiv.org/abs/2103.05574v1

    • [physics.flu-dyn]Machine Learning versus Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel
    Babak Lashkar-Ara, Niloofar Kalantari, Zohreh Sheikh Khozani, Amir Mosavi
    http://arxiv.org/abs/2103.05447v1

    • [physics.soc-ph]The Physics of Financial Networks
    Marco Bardoscia, Paolo Barucca, Stefano Battiston, Fabio Caccioli, Giulio Cimini, Diego Garlaschelli, Fabio Saracco, Tiziano Squartini, Guido Caldarelli
    http://arxiv.org/abs/2103.05623v1

    • [physics.soc-ph]Urban Epidemic Hazard Index for Chinese Cities: Why Did Small Cities Become Epidemic Hotspots?
    Tianyi Li, Jiawen Luo, Cunrui Huang
    http://arxiv.org/abs/2103.05189v1

    • [q-bio.NC]Statistical Neuroscience in the Single Trial Limit
    Alex H. Williams, Scott W. Linderman
    http://arxiv.org/abs/2103.05075v1

    • [q-fin.RM]Multivariate tail covariance for generalized skew-elliptical distributions
    Baishuai Zuo, Chuancun Yin
    http://arxiv.org/abs/2103.05201v1

    • [quant-ph]Variational quantum policies for reinforcement learning
    Sofiene Jerbi, Casper Gyurik, Simon Marshall, Hans J. Briegel, Vedran Dunjko
    http://arxiv.org/abs/2103.05577v1

    • [stat.AP]An analysis of European crash data and scenario specification for heavy truck safety system development within the AEROFLEX project
    Ron Schindler, Michael Jänsch, Heiko Johannsen, András Bálint
    http://arxiv.org/abs/2103.05325v1

    • [stat.AP]Low-Rank Tensor Regression for X-Ray Tomography
    Sanket R. Jantre, Zichao Wendy Di
    http://arxiv.org/abs/2103.05122v1

    • [stat.ME]Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie
    Rémi Laumont, Valentin de Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra
    http://arxiv.org/abs/2103.04715v2

    • [stat.ME]Bias-Corrected Peaks-Over-Threshold Estimation of the CVaR
    Dylan Troop, Frédéric Godin, Jia Yuan Yu
    http://arxiv.org/abs/2103.05059v1

    • [stat.ME]Covariate-informed latent interaction models: Addressing geographic & taxonomic bias in predicting bird-plant interactions
    Georgia Papadogeorgou, Carolina Bello, Otso Ovaskainen, David B. Dunson
    http://arxiv.org/abs/2103.05557v1

    • [stat.ME]Estimating intervention effects on infectious disease control: the effect of community mobility reduction on Coronavirus spread
    Andrew Giffin, Wenlong Gong, Suman Majumder, Ana G. Rappold, Brian J. Reich, Shu Yang
    http://arxiv.org/abs/2103.04417v2

    • [stat.ME]The Effect of Stroke on Dementia Onset: Left-Truncation and Right-Censoring
    Rafael Weißbachm, Achim Dörre, Dominik Wied, Gabriele Doblhammer, Anne Fink
    http://arxiv.org/abs/2103.05262v1

    • [stat.ME]The Efficient Shrinkage Path: Maximum Likelihood of Minimum MSE Risk
    Robert L. Obenchain
    http://arxiv.org/abs/2103.05161v1

    • [stat.ML]A prior-based approximate latent Riemannian metric
    Georgios Arvanitidis, Bogdan Georgiev, Bernhard Schölkopf
    http://arxiv.org/abs/2103.05290v1

    • [stat.ML]Active Testing: Sample-Efficient Model Evaluation
    Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth
    http://arxiv.org/abs/2103.05331v1

    • [stat.ML]Continual Density Ratio Estimation in an Online Setting
    Yu Chen, Song Liu, Tom Diethe, Peter Flach
    http://arxiv.org/abs/2103.05276v1

    • [stat.ML]Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings
    Ambrus Tamás, Balázs Csanád Csáji
    http://arxiv.org/abs/2103.05126v1

    • [stat.ML]Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
    Yifan Chen, Yun Yang
    http://arxiv.org/abs/2103.05238v1

    • [stat.ML]Forest Guided Smoothing
    Isabella Verdinelli, Larry Wasserman
    http://arxiv.org/abs/2103.05092v1

    • [stat.ML]Nearest Neighbor Search Under Uncertainty
    Blake Mason, Ardhendu Tripathy, Robert Nowak
    http://arxiv.org/abs/2103.05057v1