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 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 -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 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 -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