astro-ph.IM - 仪器仪表和天体物理学方法
cond-mat.dis-nn - 无序系统与神经网络 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.AT - 代数拓扑 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 q-fin.GN - 通用财务 q-fin.PM - 投资组合管理 q-fin.ST - 统计金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Deep learning with photosensor timing information as a background rejection method for the Cherenkov Telescope Array
• [cond-mat.dis-nn]Mean-field methods and algorithmic perspectives for high-dimensional machine learning
• [cs.AI]A Relational-learning Perspective to Multi-label Chest X-ray Classification
• [cs.AI]A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems
• [cs.AI]Efficient Algorithms for Global Inference in Internet Marketplaces
• [cs.AI]On complementing end-to-end human motion predictors with planning
• [cs.AI]The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain
• [cs.AI]Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions
• [cs.CL]A Result based Portable Framework for Spoken Language Understanding
• [cs.CL]An Amharic News Text classification Dataset
• [cs.CL]CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
• [cs.CL]Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification
• [cs.CL]DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction
• [cs.CL]ELLA: Exploration through Learned Language Abstraction
• [cs.CL]How does Truth Evolve into Fake News? An Empirical Study of Fake News Evolution
• [cs.CL]Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance
• [cs.CL]Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text
• [cs.CL]Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling
• [cs.CL]Self-Learning for Zero Shot Neural Machine Translation
• [cs.CL]Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models
• [cs.CL]Techniques for Jointly Extracting Entities and Relations: A Survey
• [cs.CL]Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)
• [cs.CV]A Multi-resolution Approach to Expression Recognition in the Wild
• [cs.CV]A Study of Face Obfuscation in ImageNet
• [cs.CV]AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
• [cs.CV]AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation
• [cs.CV]BASAR:Black-box Attack on Skeletal Action Recognition
• [cs.CV]Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones
• [cs.CV]COLA-Net: Collaborative Attention Network for Image Restoration
• [cs.CV]Capturing Omni-Ra
8000
nge Context for Omnidirectional Segmentation
• [cs.CV]Cross-modal Image Retrieval with Deep Mutual Information Maximization
• [cs.CV]DSEC: A Stereo Event Camera Dataset for Driving Scenarios
• [cs.CV]Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Information
• [cs.CV]Deep Learning based 3D Segmentation: A Survey
• [cs.CV]Deep Sensing of Urban Waterlogging
• [cs.CV]Deep Superpixel Cut for Unsupervised Image Segmentation
• [cs.CV]Dynamical Pose Estimation
• [cs.CV]ES-Net: Erasing Salient Parts to Learn More in Re-Identification
• [cs.CV]Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks
• [cs.CV]FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
• [cs.CV]FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
• [cs.CV]Involution: Inverting the Inherence of Convolution for Visual Recognition
• [cs.CV]Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss
• [cs.CV]Learning to compose 6-DoF omnidirectional videos using multi-sphere images
• [cs.CV]Limitations of Post-Hoc Feature Alignment for Robustness
• [cs.CV]Manifold Regularized Dynamic Network Pruning
• [cs.CV]MapFusion: A General Framework for 3D Object Detection with HDMaps
• [cs.CV]Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences
• [cs.CV]Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
• [cs.CV]Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation
• [cs.CV]Novel tile segmentation scheme for omnidirectional video
• [cs.CV]Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation
• [cs.CV]Principal component-based image segmentation: a new approach to outline in vitro cell colonies
• [cs.CV]Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation
• [cs.CV]Quality-Aware Network for Human Parsing
• [cs.CV]RL-CSDia: Representation Learning of Computer Science Diagrams
• [cs.CV]Reformulating HOI Detection as Adaptive Set Prediction
• [cs.CV]Regressive Domain Adaptation for Unsupervised Keypoint Detection
• [cs.CV]SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance
• [cs.CV]SMIL: Multimodal Learning with Severely Missing Modality
• [cs.CV]Self-Supervision by Prediction for Object Discovery in Videos
• [cs.CV]Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme
• [cs.CV]Spatially Consistent Representation Learning
• [cs.CV]Spatiotemporal Registration for Event-based Visual Odometry
• [cs.CV]Structural Connectome Atlas Construction in the Space of Riemannian Metrics
• [cs.CV]Time-Ordered Recent Event (TORE) Volumes for Event Cameras
• [cs.CV]Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing
• [cs.CV]TransMed: Transformers Advance Multi-modal Medical Image Classification
• [cs.CV]Tuna Nutriment Tracking using Trajectory Mapping in Application to Aquaculture Fish Tank
• [cs.CV]VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples
• [cs.CV]Wide Aspect Ratio Matching for Robust Face Detection
• [cs.CY]Analysing the Correlation of Geriatric Assessment Scores and Activity in Smart Homes
• [cs.CY]Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs
• [cs.CY]On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes
• [cs.CY]Performing Creativity With Computational Tools
• [cs.DC]A Distributed, Decoupled System for Losslessly Streaming Dynamic Light Probes to Thin Clients
• [cs.DC]A Lattice Linear Predicate Parallel Algorithm for the Dynamic Programming Problems
• [cs.DC]A Resourceful Coordination Approach for Multilevel Scheduling
• [cs.DC]Decentralized Langevin Dynamics over a Directed Graph
• [cs.DC]Exploiting Asynchronous Priority Scheduling in Parallel Eikonal Solvers
• [cs.DC]Exploring Blockchain for The Coordination of Distributed Energy Resources
• [cs.GR]Impacts of the Numbers of Colors and Shapes on Outlier Detection: from Automated to User Evaluation
• [cs.HC]Automatic code generation from sketches of mobile applications in end-user development using Deep Learning
• [cs.HC]Fast and flexible: Human program induction in abstract reasoning tasks
• [cs.HC]OpenTera: A Microservice Architecture Solution for Rapid Prototyping of Robotic Solutions to COVID-19 Challenges in Care Facilities
• [cs.HC]Removing Gamification: A Research Agenda
• [cs.IR]BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism
• [cs.IR]Hybrid Model with Time Modeling for Sequential Recommender Systems
• [cs.IR]Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks
• [cs.IR]Ranking Clarifying Questions Based on Predicted User Engagement
• [cs.IR]Session-Based Software Recommendation with Social and Dependency Graph
• [cs.IR]u-cf2vec: Representation Learning for Personalized Algorithm Selection in Recommender Systems
• [cs.IT]A New Metric on Symmetric Group and Application to Block Permutation Codes
• [cs.IT]Deploying Federated Learning in Large-Scale Cellular Networks: Spatial Convergence Analysis
• [cs.IT]EBP-GEXIT Charts for M-ary AWGN Channel for Generalized LDPC and Turbo Codes
• [cs.IT]Error-and-Erasure Decoding of Product and Staircase Codes
• [cs.IT]Multi-Objective Resource Allocation for IRS-Aided SWIPT
• [cs.IT]One-Sided -Orthogonal Matrices Over Finite Semi-Local Rings And Their Codes
• [cs.IT]Some results about double cyclic codes over
• [cs.LG]A Gradient Estimator for Time-Varying Electrical Networks with Non-Linear Dissipation
• [cs.LG]A Review and Refinement of Surprise Adequacy
• [cs.LG]An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning
• [cs.LG]BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design
• [cs.LG]Beyond Nyströmformer — Approximation of self-attention by Spectral Shifting
• [cs.LG]CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis
• [cs.LG]Deep learning methods for screening patients’ S-ICD implantation eligibility
• [cs.LG]Explaining dimensionality reduction results using Shapley values
• [cs.LG]Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
• [cs.LG]Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme
• [cs.LG]Graph Neural Networks Inspired by Classical Iterative Algorithms
• [cs.LG]Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata
• [cs.LG]Learning from Imperfect Demonstrations from Agents with Varying Dynamics
• [cs.LG]Learning to Generate Music With Sentiment
• [cs.LG]Linear Bandits on Uniformly Convex Sets
• [cs.LG]Maximum Entropy RL (Provably) Solves Some Robust RL Problems
• [cs.LG]MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
• [cs.LG]Multicalibrated Partitions for Importance Weights
• [cs.LG]Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
• [cs.LG]Piecewise linear regression and classification
• [cs.LG]Quantization-Guided Training for Compact TinyML Models
• [cs.LG]Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis
• [cs.LG]Reframing Neural Networks: Deep Structure in Overcomplete Representations
• [cs.LG]Regret Bounds for Generalized Linear Bandits under Parameter Drift
• [cs.LG]Robustness to Pruning Predicts Generalization in Deep Neural Networks
• [cs.LG]Sampling methods for efficient training of graph convolutional networks: A survey
• [cs.LG]Scalable Online Recurrent Learning Using Columnar Neural Networks
• [cs.LG]Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution
• [cs.LG]Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction
• [cs.LG]Streaming Linear System Identification with Reverse Experience Replay
• [cs.LG]Symmetry meets AI
• [cs.LG]The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning
• [cs.LG]Towards Action Model Learning for Player Modeling
• [cs.LG]Towards Connecting Use Cases and Methods in Interpretable Machine Learning
• [cs.LG]Universal Approximation of Residual Flows in Maximum Mean Discrepancy
• [cs.LG]Variable-rate discrete representation learning
• [cs.LG]Why Flatness Correlates With Generalization For Deep Neural Networks
• [cs.NE]Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware
• [cs.NE]SocialInteractionGAN: Multi-person Interaction Sequence Generation
• [cs.RO]Active Exploration and Mapping via Iterative Covariance Regulation over Continuous #card=math&code=SE%283%29) Trajectories
• [cs.RO]An Image-based Approach of Task-driven Driving Scene Categorization
• [cs.RO]Analyzing Human Models that Adapt Online
• [cs.RO]Autonomous Flights in Dynamic Environments with Onboard Vision
• [cs.RO]Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks
• [cs.RO]Core Challenges of Social Robot Navigation: A Survey
• [cs.RO]Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice
• [cs.RO]DLL: Direct LIDAR Localization. A map-based localization approach for aerial robots
• [cs.RO]Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping
• [cs.RO]Entropy-Guided Control Improvisation
• [cs.RO]FAST-Dynamic-Vision: Detection and Tracking Dynamic Objects with Event and Depth Sensing
• [cs.RO]Formulating Intuitive Stack-of-Tasks with Visuo-Tactile Perception for Collaborative Human-Robot Fine Manipulation
• [cs.RO]GRIT: Verifiable Goal Recognition for Autonomous Driving using Decision Trees
• [cs.RO]Grasp Stability Analysis with Passive Reactions
• [cs.RO]Incorporating Orientations into End-to-end Driving Model for Steering Control
• [cs.RO]Non-Holonomic RRT & MPC: Path and Trajectory Planning for an Autonomous Cycle Rickshaw
• [cs.RO]Nth Order Analytical Time Derivatives of Inverse Dynamics in Recursive and Closed Forms
• [cs.RO]RMP2: A Structured Composable Policy Class for Robot Learning
• [cs.RO]Real-Time RGBD Odometry for Fused-State Navigation Systems
• [cs.RO]Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning
• [cs.RO]Robust Collision-free Lightweight Aerial Autonomy for Unknown Area Exploration
• [cs.RO]Simple Flagellated Soft Robot for Locomotion near Air-Fluid Interface
• [cs.SD]Automatic Speaker Independent Dysarthric Speech Intelligibility Assessment System
• [cs.SD]Search Disaster Victims using Sound Source Localization
• [cs.SE]gambit — An Open Source Name Disambiguation Tool for Version Control Systems
• [cs.SI]A principled approach for weighted multilayer network aggregation
• [cs.SI]Connecting Latent ReLationships over Heterogeneous Attributed Network for Recommendation
• [cs.SI]Deep graph convolution neural network with non-negative matrix factorization for community discovery
• [cs.SI]Effectively Counting s-t Simple Paths in Directed Graphs
• [cs.SI]HyperCI: A higher order collective influence measure for hypernetwork dismantling
• [cs.SI]On spatial variation in the detectability and density of social media user protest supporters
• [econ.EM]Extension of the Lagrange multiplier test for error cross-section independence to large panels with non normal errors
• [econ.GN]Learning Organization using Conversational Social Network for Social Customer Relationship Management Effort
• [eess.IV]Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
• [eess.IV]Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images
• [eess.IV]Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis
• [eess.IV]Learning to Estimate Kernel Scale and Orientation of Defocus Blur with Asymmetric Coded Aperture
• [eess.IV]Model-inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization
• [eess.IV]Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images
• [eess.IV]U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
• [eess.IV]Weak labels and anatomical knowledge: making deep learning practical for intracranial aneurysm detection in TOF-MRA
• [eess.SY]Signal Temporal Logic Task Decomposition via Convex Optimization
• [math.AT]Topology Applied to Machine Learning: From Global to Local
• [math.NA]A Deep Learning approach to Reduced Order Modelling of Parameter Dependent Partial Differential Equations
• [math.NA]Deep neural network approximation for high-dimensional parabolic Hamilton-Jacobi-Bellman equations
• [math.NA]Oversampling errors in multimodal medical imaging are due to the Gibbs effect
• [math.OC]Symmetry Breaking in Symmetric Tensor Decomposition
• [math.PR]The distribution of Yule’s “nonsense correlation” of Gaussian random walks
• [math.ST]Asymptotic posterior normality of the generalized extreme value distribution
• [q-bio.NC]A critical reappraisal of predicting suicidal ideation using fMRI
• [q-bio.NC]Embodied Continual Learning Across Developmental Time Via Developmental Braitenberg Vehicles
• [q-bio.QM]A registration error estimation framework for correlative imaging
• [q-fin.GN]Complex decision-making strategies in a stock market experiment explained as the combination of few simple strategies
• [q-fin.PM]A Bayesian Graphical Approach for Large-Scale Portfolio Management with Fewer Historical Data
• [q-fin.ST]Financial factors selection with knockoffs: fund replication, explanatory and prediction networks
• [quant-ph]Machine Learning the period finding algorithm
• [quant-ph]Quantum machine learning with differential privacy
• [quant-ph]The state dependence of integrated, instantaneous, and fluctuating entropy production in quantum and classical processes
• [stat.AP]Bayesian sequential data assimilation for COVID-19 forecasting
• [stat.AP]Spatio-temporal quantile regression analysis revealing more nuanced patterns of climate change: a study of long-term daily temperature in Australia
• [stat.AP]The efficacy of tournament designs
• [stat.CO]Monotonic Alpha-divergence Minimisation
• [stat.ME]A Variational Inference Framework for Inverse Problems
• [stat.ME]A cautionary note on the Hanurav-Vijayan sampling algorithm
• [stat.ME]Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications
• [stat.ME]Bayesian Poisson Mortality Projections with Incomplete Data
• [stat.ME]Bias and sensitivity analysis for unmeasured confounders in linear structural equation models
• [stat.ME]Design Principles for Data Analysis
• [stat.ME]Longitudinal Mediation Analysis with Latent Growth Curves
• [stat.ME]Quantifying Sufficient Randomness for Causal Inference
• [stat.ME]Stationary subspace analysis based on second-order statistics
• [stat.ML]A Tree-based Federated Learning Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
• [stat.ML]A sampling criterion for constrained Bayesian optimization with uncertainties
• [stat.ML]Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests
• [stat.ML]Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events
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• [astro-ph.IM]Deep learning with photosensor timing information as a background rejection method for the Cherenkov Telescope Array
Samuel Spencer, Thomas Armstrong, Jason Watson, Salvatore Mangano, Yves Renier, Garret Cotter
http://arxiv.org/abs/2103.06054v1
• [cond-mat.dis-nn]Mean-field methods and algorithmic perspectives for high-dimensional machine learning
Benjamin Aubin
http://arxiv.org/abs/2103.05945v1
• [cs.AI]A Relational-learning Perspective to Multi-label Chest X-ray Classification
Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone
http://arxiv.org/abs/2103.06220v1
• [cs.AI]A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems
Yongming He, Guohua Wu, Yingwu Chen, Witold Pedrycz
http://arxiv.org/abs/2103.05847v1
• [cs.AI]Efficient Algorithms for Global Inference in Internet Marketplaces
Rohan Ramanath, Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu
http://arxiv.org/abs/2103.05277v2
• [cs.AI]On complementing end-to-end human motion predictors with planning
Liting Sun, Xiaogang Jia, Anca D. Dragan
http://arxiv.org/abs/2103.05661v1
• [cs.AI]The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain
Hiroshi Yamakawa
http://arxiv.org/abs/2103.06123v1
• [cs.AI]Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions
Chao Zhang, Shihan Wang, Henk Aarts, Mehdi Dastani
http://arxiv.org/abs/2103.06160v1
• [cs.CL]A Result based Portable Framework for Spoken Language Understanding
Lizhi Cheng, Weijia Jia, Wenmian Yang
http://arxiv.org/abs/2103.06010v1
• [cs.CL]An Amharic News Text classification Dataset
Israel Abebe Azime, Nebil Mohammed
http://arxiv.org/abs/2103.05639v1
• [cs.CL]CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
Dan Hendrycks, Collin Burns, Anya Chen, Spencer Ball
http://arxiv.org/abs/2103.06268v1
• [cs.CL]Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification
Amey Hengle, Atharva Kshirsagar, Shaily Desai, Manisha Marathe
http://arxiv.org/abs/2103.05683v1
• [cs.CL]DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction
Freddy C. Chua, Nigel P. Duffy
http://arxiv.org/abs/2103.05908v1
• [cs.CL]ELLA: Exploration through Learned Language Abstraction
Suvir Mirchandani, Siddharth Karamcheti, Dorsa Sadigh
http://arxiv.org/abs/2103.05825v1
• [cs.CL]How does Truth Evolve into Fake News? An Empirical Study of Fake News Evolution
Mingfei Guo, Xiuying Chen, Juntao Li, Dongyan Zhao, Rui Yan
http://arxiv.org/abs/2103.05944v1
• [cs.CL]Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance
Joshua R. Minot, Nicholas Cheney, Marc Maier, Danne C. Elbers, Christopher M. Danforth, Peter Sheridan Dodds
http://arxiv.org/abs/2103.05841v1
• [cs.CL]Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text
Sachin Pawar, Ravina More, Girish K. Palshikar, Pushpak Bhattacharyya, Vasudeva Varma
http://arxiv.org/abs/2103.06078v1
• [cs.CL]Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling
Radha Kopparti, Tillman Weyde
http://arxiv.org/abs/2103.06198v1
• [cs.CL]Self-Learning for Zero Shot Neural Machine Translation
Surafel M. Lakew, Matteo Negri, Marco Turchi
http://arxiv.org/abs/2103.05951v1
• [cs.CL]Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models
Yash Butala, Kanishk Singh, Adarsh Kumar, Shrey Shrivastava
http://arxiv.org/abs/2103.06057v1
• [cs.CL]Techniques for Jointly Extracting Entities and Relations: A Survey
Sachin Pawar, Pushpak Bhattacharyya, Girish K. Palshikar
http://arxiv.org/abs/2103.06118v1
• [cs.CL]Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)
A. Sutherland, S. Bensch, T. Hellström, S. Magg, S. Wermter
http://arxiv.org/abs/2103.05815v1
• [cs.CV]A Multi-resolution Approach to Expression Recognition in the Wild
Fabio Valerio Massoli, Donato Cafarelli, Giuseppe Amato, Fabrizio Falchi
http://arxiv.org/abs/2103.05723v1
• [cs.CV]A Study of Face Obfuscation in ImageNet
Kaiyu Yang, Jacqueline Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky
http://arxiv.org/abs/2103.06191v1
• [cs.CV]AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
Qi Song, Kangfu Mei, Rui Huang
http://arxiv.org/abs/2103.05930v1
• [cs.CV]AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation
Denis Gudovskiy, Luca Rigazio, Shun Ishizaka, Kazuki Kozuka, Sotaro Tsukizawa
http://arxiv.org/abs/2103.05863v1
• [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/2103.05266v2
• [cs.CV]Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones
Cheng Cui, Ruoyu Guo, Yuning Du, Dongliang He, Fu Li, Zewu Wu, Qiwen Liu, Shilei Wen, Jizhou Huang, Xiaoguang Hu, Dianhai Yu, Errui Ding, Yanjun Ma
http://arxiv.org/abs/2103.05959v1
• [cs.CV]COLA-Net: Collaborative Attention Network for Image Restoration
Chong Mou, Jian Zhang, Xiaopeng Fan, Hangfan Liu, Ronggang Wang
http://arxiv.org/abs/2103.05961v1
• [cs.CV]Capturing Omni-Ra
8000
nge Context for Omnidirectional Segmentation
Kailun Yang, Jiaming Zhang, Simon Reiß, Xinxin Hu, Rainer Stiefelhagen
http://arxiv.org/abs/2103.05687v1
• [cs.CV]Cross-modal Image Retrieval with Deep Mutual Information Maximization
Chunbin Gu, Jiajun Bu, Xixi Zhou, Chengwei Yao, Dongfang Ma, Zhi Yu, Xifeng Yan
http://arxiv.org/abs/2103.06032v1
• [cs.CV]DSEC: A Stereo Event Camera Dataset for Driving Scenarios
Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza
http://arxiv.org/abs/2103.06011v1
• [cs.CV]Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Information
Shuang Xu, Jiangshe Zhang, Kai Sun, Zixiang Zhao, Lu Huang, Junmin Liu, Chunxia Zhang
http://arxiv.org/abs/2103.05946v1
• [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 Mian
http://arxiv.org/abs/2103.05423v2
• [cs.CV]Deep Sensing of Urban Waterlogging
Shi-Wei Lo
http://arxiv.org/abs/2103.05927v1
• [cs.CV]Deep Superpixel Cut for Unsupervised Image Segmentation
Qinghong Lin, Weichan Zhong, Jianglin Lu
http://arxiv.org/abs/2103.06031v1
• [cs.CV]Dynamical Pose Estimation
Heng Yang, Chris Doran, Jean-Jacques Slotine
http://arxiv.org/abs/2103.06182v1
• [cs.CV]ES-Net: Erasing Salient Parts to Learn More in Re-Identification
Dong Shen, Shuai Zhao, Jinming Hu, Hao Feng, Deng Cai, Xiaofei He
http://arxiv.org/abs/2103.05918v1
• [cs.CV]Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks
Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon, Kyung-Soo Kim
http://arxiv.org/abs/2103.05889v1
• [cs.CV]FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Bo Sun, Banghuai Li, Shengcai Cai, Ye Yuan, Chi Zhang
http://arxiv.org/abs/2103.05950v1
• [cs.CV]FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng
http://arxiv.org/abs/2103.06030v1
• [cs.CV]Involution: Inverting the Inherence of Convolution for Visual Recognition
Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen
http://arxiv.org/abs/2103.06255v1
• [cs.CV]Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss
Dongseok Shim, H. Jin Kim
http://arxiv.org/abs/2103.05902v1
• [cs.CV]Learning to compose 6-DoF omnidirectional videos using multi-sphere images
Jisheng Li, Yuze He, Yubin Hu, Yuxing Han, Jiangtao Wen
http://arxiv.org/abs/2103.05842v1
• [cs.CV]Limitations of Post-Hoc Feature Alignment for Robustness
Collin Burns, Jacob Steinhardt
http://arxiv.org/abs/2103.05898v1
• [cs.CV]Manifold Regularized Dynamic Network Pruning
Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu
http://arxiv.org/abs/2103.05861v1
• [cs.CV]MapFusion: A General Framework for 3D Object Detection with HDMaps
Jin Fang, Dingfu Zhou, Xibin Song, Liangjun Zhang
http://arxiv.org/abs/2103.05929v1
• [cs.CV]Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences
Ziqi Pang, Zhichao Li, Naiyan Wang
http://arxiv.org/abs/2103.06028v1
• [cs.CV]Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
http://arxiv.org/abs/2103.05985v1
• [cs.CV]Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation
Navdeep Dahiya, Sadegh R Alam, Pengpeng Zhang, Si-Yuan Zhang, Anthony Yezzi, Saad Nadeem
http://arxiv.org/abs/2103.05690v1
• [cs.CV]Novel tile segmentation scheme for omnidirectional video
Jisheng Li, Ziyu Wen, Sihan Li, Yikai Zhao, Bichuan Guo, Jiangtao Wen
http://arxiv.org/abs/2103.05858v1
• [cs.CV]Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation
Amirabbas Davari, Christoph Baller, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein
http://arxiv.org/abs/2103.05715v1
• [cs.CV]Principal component-based image segmentation: a new approach to outline in vitro cell colonies
Delmon Arous, Stefan Schrunner, Ingunn Hanson, Nina F. J. Edin, Eirik Malinen
http://arxiv.org/abs/2103.06022v1
• [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/2103.05271v2
• [cs.CV]Quality-Aware Network for Human Parsing
Lu Yang, Qing Song, Zhihui Wang, Zhiwei Liu, Songcen Xu, Zhihao Li
http://arxiv.org/abs/2103.05997v1
• [cs.CV]RL-CSDia: Representation Learning of Computer Science Diagrams
Shaowei Wang, LingLing Zhang, Xuan Luo, Yi Yang, Xin Hu, Jun Liu
http://arxiv.org/abs/2103.05900v1
• [cs.CV]Reformulating HOI Detection as Adaptive Set Prediction
Mingfei Chen, Yue Liao, Si Liu, Zhiyuan Chen, Fei Wang, Chen Qian
http://arxiv.org/abs/2103.05983v1
• [cs.CV]Regressive Domain Adaptation for Unsupervised Keypoint Detection
Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long
http://arxiv.org/abs/2103.06175v1
• [cs.CV]SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance
Fu-Zhao Ou, Xingyu Chen, Ruixin Zhang, Yuge Huang, Shaoxin Li, Jilin Li, Yong Li, Liujuan Cao, Yuan-Gen Wang
http://arxiv.org/abs/2103.05977v1
• [cs.CV]SMIL: Multimodal Learning with Severely Missing Modality
Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng
http://arxiv.org/abs/2103.05677v1
• [cs.CV]Self-Supervision by Prediction for Object Discovery in Videos
Beril Besbinar, Pascal Frossard
http://arxiv.org/abs/2103.05669v1
• [cs.CV]Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme
Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
http://arxiv.org/abs/2103.06134v1
• [cs.CV]Spatially Consistent Representation Learning
Byungseok Roh, Wuhyun Shin, Ildoo Kim, Sungwoong Kim
http://arxiv.org/abs/2103.06122v1
• [cs.CV]Spatiotemporal Registration for Event-based Visual Odometry
Daqi Liu Alvaro Parra, Tat-Jun Chin
http://arxiv.org/abs/2103.05955v1
• [cs.CV]Structural Connectome Atlas Construction in the Space of Riemannian Metrics
Kristen M. Campbell, Haocheng Dai, Zhe Su, Martin Bauer, P. Thomas Fletcher, Sarang C. Joshi
http://arxiv.org/abs/2103.05730v1
• [cs.CV]Time-Ordered Recent Event (TORE) Volumes for Event Cameras
R. Wes Baldwin, Ruixu Liu, Mohammed Almatrafi, Vijayan Asari, Keigo Hirakawa
http://arxiv.org/abs/2103.06108v1
• [cs.CV]Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing
Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler
http://arxiv.org/abs/2103.06179v1
• [cs.CV]TransMed: Transformers Advance Multi-modal Medical Image Classification
Yin Dai, Yifan Gao
http://arxiv.org/abs/2103.05940v1
• [cs.CV]Tuna Nutriment Tracking using Trajectory Mapping in Application to Aquaculture Fish Tank
Hilmil Pradana, Keiichi Horio
http://arxiv.org/abs/2103.05886v1
• [cs.CV]VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples
Tian Pan, Yibing Song, Tianyu Yang, Wenhao Jiang, Wei Liu
http://arxiv.org/abs/2103.05905v1
• [cs.CV]Wide Aspect Ratio Matching for Robust Face Detection
Shi Luo, Xiongfei Li, Xiaoli Zhang
http://arxiv.org/abs/2103.05993v1
• [cs.CY]Analysing the Correlation of Geriatric Assessment Scores and Activity in Smart Homes
Björn Friedrich, Enno-Edzard Steen, Sebastian Fudickar, Andreas Hein
http://arxiv.org/abs/2103.05971v1
• [cs.CY]Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs
Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, Duncan Wadsworth, Hanna Wallach
http://arxiv.org/abs/2103.06076v1
• [cs.CY]On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes
Hoda Heidari, Solon Barocas, Jon Kleinberg, Karen Levy
http://arxiv.org/abs/2103.05827v1
• [cs.CY]Performing Creativity With Computational Tools
Daniel Lopes, Jéssica Parente, Pedro Silva, Licínio Roque, Penousal machado
http://arxiv.org/abs/2103.05533v2
• [cs.DC]A Distributed, Decoupled System for Losslessly Streaming Dynamic Light Probes to Thin Clients
Michael Stengel, Zander Majercik, Benjamin Boudaoud, Morgan McGuire
http://arxiv.org/abs/2103.05875v1
• [cs.DC]A Lattice Linear Predicate Parallel Algorithm for the Dynamic Programming Problems
Vijay K. Garg
http://arxiv.org/abs/2103.06264v1
• [cs.DC]A Resourceful Coordination Approach for Multilevel Scheduling
Ahmed Eleliemy, Florina M. Ciorba
http://arxiv.org/abs/2103.05809v1
• [cs.DC]Decentralized Langevin Dynamics over a Directed Graph
Alexander Kolesov, Vyacheslav Kungurtsev
http://arxiv.org/abs/2103.05444v1
• [cs.DC]Exploiting Asynchronous Priority Scheduling in Parallel Eikonal Solvers
Ian Henriksen, Bozhi You, Keshav Pingali
http://arxiv.org/abs/2103.05694v1
• [cs.DC]Exploring Blockchain for The Coordination of Distributed Energy Resources
Qing Yang, Hao Wang
http://arxiv.org/abs/2103.06046v1
• [cs.GR]Impacts of the Numbers of Colors and Shapes on Outlier Detection: from Automated to User Evaluation
Loann Giovannangeli, Romain Giot, David Auber, Romain Bourqui
http://arxiv.org/abs/2103.06084v1
• [cs.HC]Automatic code generation from sketches of mobile applications in end-user development using Deep Learning
Daniel Baulé, Christiane Gresse von Wangenheim, Aldo von Wangenheim, Jean C. R. Hauck, Edson C. Vargas Júnior
http://arxiv.org/abs/2103.05704v1
• [cs.HC]Fast and flexible: Human program induction in abstract reasoning tasks
Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
http://arxiv.org/abs/2103.05823v1
• [cs.HC]OpenTera: A Microservice Architecture Solution for Rapid Prototyping of Robotic Solutions to COVID-19 Challenges in Care Facilities
Adina M. Panchea, Dominic Létourneau, Simon Brière, Mathieu Hamel, Marc-Antoine Maheux, Cédric Godin, Michel Tousignant, Mathieu Labbé, François Ferland, François Grondin, François Michaud
http://arxiv.org/abs/2103.06171v1
• [cs.HC]Removing Gamification: A Research Agenda
Katie Seaborn
http://arxiv.org/abs/2103.05862v1
• [cs.IR]BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism
Chang-Dong Wang, Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng, Ling Huang, Jian-Huang Lai, Philip S. Yu
http://arxiv.org/abs/2103.06105v1
• [cs.IR]Hybrid Model with Time Modeling for Sequential Recommender Systems
Marlesson R. O. Santana, Anderson Soares
http://arxiv.org/abs/2103.06138v1
• [cs.IR]Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks
Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue
http://arxiv.org/abs/2103.05923v1
• [cs.IR]Ranking Clarifying Questions Based on Predicted User Engagement
Tom Lotze, Stefan Klut, Mohammad Aliannejadi, Evangelos Kanoulas
http://arxiv.org/abs/2103.06192v1
• [cs.IR]Session-Based Software Recommendation with Social and Dependency Graph
Dengcheng Yan, Tianyi Tang, Yiwen Zhang
http://arxiv.org/abs/2103.06109v1
• [cs.IR]u-cf2vec: Representation Learning for Personalized Algorithm Selection in Recommender Systems
Tomas Sousa-Pereira, Tiago Cunha, Carlos Soares
http://arxiv.org/abs/2103.05673v1
• [cs.IT]A New Metric on Symmetric Group and Application to Block Permutation Codes
Chaoping Xing, Zihan Zhang
http://arxiv.org/abs/2103.05204v2
• [cs.IT]Deploying Federated Learning in Large-Scale Cellular Networks: Spatial Convergence Analysis
Zhenyi Lin, Xiaoyang Li, Vincent K. N. Lau, Yi Gong, Kaibin Huang
http://arxiv.org/abs/2103.06056v1
• [cs.IT]EBP-GEXIT Charts for M-ary AWGN Channel for Generalized LDPC and Turbo Codes
Arti Yardi, Tarik Benaddi, Charly Poulliat, Iryna Andriyanova
http://arxiv.org/abs/2103.05953v1
• [cs.IT]Error-and-Erasure Decoding of Product and Staircase Codes
Lukas Rapp, Laurent Schmalen
http://arxiv.org/abs/2103.05716v1
• [cs.IT]Multi-Objective Resource Allocation for IRS-Aided SWIPT
A. Khalili, S. Zargari, Q. Wu, D. W. K. Ng, R. Zhang
http://arxiv.org/abs/2103.06067v1
• [cs.IT]One-Sided -Orthogonal Matrices Over Finite Semi-Local Rings And Their Codes
Virgilio P. Sison, Charles R. Repizo
http://arxiv.org/abs/2103.05592v2
• [cs.IT]Some results about double cyclic codes over
Tenghui Deng, Jing Yang
http://arxiv.org/abs/2103.05859v1
• [cs.LG]A Gradient Estimator for Time-Varying Electrical Networks with Non-Linear Dissipation
Jack Kendall
http://arxiv.org/abs/2103.05636v1
• [cs.LG]A Review and Refinement of Surprise Adequacy
Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella
http://arxiv.org/abs/2103.05939v1
• [cs.LG]An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning
Dilip Arumugam, Peter Henderson, Pierre-Luc Bacon
http://arxiv.org/abs/2103.06224v1
• [cs.LG]BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design
Lyle Regenwetter, Brent Curry, Faez Ahmed
http://arxiv.org/abs/2103.05844v1
• [cs.LG]Beyond Nyströmformer — Approximation of self-attention by Spectral Shifting
Madhusudan Verma
http://arxiv.org/abs/2103.05638v1
• [cs.LG]CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis
Amin Heyrani Nobari, Muhammad Fathy Rashad, Faez Ahmed
http://arxiv.org/abs/2103.06242v1
• [cs.LG]Deep learning methods for screening patients’ S-ICD implantation eligibility
Anthony J. Dunn, Mohamed H. ElRefai, Paul R. Roberts, Stefano Coniglio, Benedict M. Wiles, Alain B. Zemkoho
http://arxiv.org/abs/2103.06021v1
• [cs.LG]Explaining dimensionality reduction results using Shapley values
Wilson Estécio Marcílio Júnior, Danilo Medeiros Eler
http://arxiv.org/abs/2103.05678v1
• [cs.LG]Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
Chloé Bakalar, Renata Barreto, Miranda Bogen, Sam Corbett-Davies, Melissa Hall, Isabel Kloumann, Michelle Lam, Joaquin Quiñonero Candela, Manish Raghavan, Joshua Simons, Jonathan Tannen, Edmund Tong, Kate Vredenburgh, Jiejing Zhao
http://arxiv.org/abs/2103.06172v1
• [cs.LG]Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme
K. Avrachenkov, V. S. Borkar, H. P. Dolhare, K. Patil
http://arxiv.org/abs/2103.05981v1
• [cs.LG]Graph Neural Networks Inspired by Classical Iterative Algorithms
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
http://arxiv.org/abs/2103.06064v1
• [cs.LG]Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata
Tianyu Wang, Nikolay Atanasov
http://arxiv.org/abs/2103.05895v1
• [cs.LG]Learning from Imperfect Demonstrations from Agents with Varying Dynamics
Zhangjie Cao, Dorsa Sadigh
http://arxiv.org/abs/2103.05910v1
• [cs.LG]Learning to Generate Music With Sentiment
Lucas N. Ferreira, Jim Whitehead
http://arxiv.org/abs/2103.06125v1
• [cs.LG]Linear Bandits on Uniformly Convex Sets
Thomas Kerdreux, Christophe Roux, Alexandre d’Aspremont, Sebastian Pokutta
http://arxiv.org/abs/2103.05907v1
• [cs.LG]Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Benjamin Eysenbach, Sergey Levine
http://arxiv.org/abs/2103.06257v1
• [cs.LG]MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
Alexandre Rame, Remy Sun, Matthieu Cord
http://arxiv.org/abs/2103.06132v1
• [cs.LG]Multicalibrated Partitions for Importance Weights
Parikshit Gopalan, Omer Reingold, Vatsal Sharan, Udi Wieder
http://arxiv.org/abs/2103.05853v1
• [cs.LG]Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu
http://arxiv.org/abs/2103.05741v1
• [cs.LG]Piecewise linear regression and classification
Alberto Bemporad
http://arxiv.org/abs/2103.06189v1
• [cs.LG]Quantization-Guided Training for Compact TinyML Models
Sedigh Ghamari, Koray Ozcan, Thu Dinh, Andrey Melnikov, Juan Carvajal, Jan Ernst, Sek Chai
http://arxiv.org/abs/2103.06231v1
• [cs.LG]Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis
Amin Heyrani Nobari, Wei Chen, Faez Ahmed
http://arxiv.org/abs/2103.06230v1
• [cs.LG]Reframing Neural Networks: Deep Structure in Overcomplete Representations
Calvin Murdock, Simon Lucey
http://arxiv.org/abs/2103.05804v1
• [cs.LG]Regret Bounds for Generalized Linear Bandits under Parameter Drift
Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes
http://arxiv.org/abs/2103.05750v1
• [cs.LG]Robustness to Pruning Predicts Generalization in Deep Neural Networks
Lorenz Kuhn, Clare Lyle, Aidan N. Gomez, Jonas Rothfuss, Yarin Gal
http://arxiv.org/abs/2103.06002v1
• [cs.LG]Sampling methods for efficient training of graph convolutional networks: A survey
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan
http://arxiv.org/abs/2103.05872v1
• [cs.LG]Scalable Online Recurrent Learning Using Columnar Neural Networks
Khurram Javed, Martha White, Rich Sutton
http://arxiv.org/abs/2103.05787v1
• [cs.LG]Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution
Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn
http://arxiv.org/abs/2103.06263v1
• [cs.LG]Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction
Xuran Xu, Tong Zhang, Chunyan Xu, Zhen Cui, Jian Yang
http://arxiv.org/abs/2103.06126v1
• [cs.LG]Streaming Linear System Identification with Reverse Experience Replay
Prateek Jain, Suhas S Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli
http://arxiv.org/abs/2103.05896v1
• [cs.LG]Symmetry meets AI
Gabriela Barenboim, Johannes Hirn, Veronica Sanz
http://arxiv.org/abs/2103.06115v1
• [cs.LG]The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning
Edward W. Staley, Corban G. Rivera, Ashley J. Llorens
http://arxiv.org/abs/2103.05737v1
• [cs.LG]Towards Action Model Learning for Player Modeling
Abhijeet Krishnan, Aaron Williams, Chris Martens
http://arxiv.org/abs/2103.05682v1
• [cs.LG]Towards Connecting Use Cases and Methods in Interpretable Machine Learning
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
http://arxiv.org/abs/2103.06254v1
• [cs.LG]Universal Approximation of Residual Flows in Maximum Mean Discrepancy
Zhifeng Kong, Kamalika Chaudhuri
http://arxiv.org/abs/2103.05793v1
• [cs.LG]Variable-rate discrete representation learning
Sander Dieleman, Charlie Nash, Jesse Engel, Karen Simonyan
http://arxiv.org/abs/2103.06089v1
• [cs.LG]Why Flatness Correlates With Generalization For Deep Neural Networks
Shuofeng Zhang, Isaac Reid, Guillermo Valle Pérez, Ard Louis
http://arxiv.org/abs/2103.06219v1
• [cs.NE]Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware
Twisha Titirsha, Shihao Song, Anup Das, Jeffrey Krichmar, Nikil Dutt, Nagarajan Kandasamy, Francky Catthoor
http://arxiv.org/abs/2103.05707v1
• [cs.NE]SocialInteractionGAN: Multi-person Interaction Sequence Generation
Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda
http://arxiv.org/abs/2103.05916v1
• [cs.RO]Active Exploration and Mapping via Iterative Covariance Regulation over Continuous #card=math&code=SE%283%29) Trajectories
Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
http://arxiv.org/abs/2103.05819v1
• [cs.RO]An Image-based Approach of Task-driven Driving Scene Categorization
Shaochi Hu, Hanwei Fan, Biao Gao, XijunZhao, Huijing Zhao
http://arxiv.org/abs/2103.05920v1
• [cs.RO]Analyzing Human Models that Adapt Online
Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan
http://arxiv.org/abs/2103.05746v1
• [cs.RO]Autonomous Flights in Dynamic Environments with Onboard Vision
Yingjian Wang, Jialin Ji, Qianhao Wang, Chao Xu, Fei Gao
http://arxiv.org/abs/2103.05870v1
• [cs.RO]Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks
Yunlei Shi, Zhaopeng Chen, Yansong Wu, Dimitri Henkel, Sebastian Riedel, Hongxu Liu, Qian Feng, Jianwei Zhang
http://arxiv.org/abs/2103.05904v1
• [cs.RO]Core Challenges of Social Robot Navigation: A Survey
Christoforos Mavrogiannis, Francesca Baldini, Allan Wang, Dapeng Zhao, Aaron Steinfeld, Pete Trautman, Jean Oh
http://arxiv.org/abs/2103.05668v1
• [cs.RO]Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice
Quanyan Zhu, Stefan Rass, Bernhard Dieber, Victor Mayoral Vilches
http://arxiv.org/abs/2103.05789v1
• [cs.RO]DLL: Direct LIDAR Localization. A map-based localization approach for aerial robots
Fernando Caballero, Luis Merino
http://arxiv.org/abs/2103.06112v1
• [cs.RO]Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping
Marc Tuscher, Julian Hörz, Danny Driess, Marc Toussaint
http://arxiv.org/abs/2103.05401v2
• [cs.RO]Entropy-Guided Control Improvisation
Marcell Vazquez-Chanlatte, Sebastian Junges, Daniel J. Fremont, Sanjit Seshia
http://arxiv.org/abs/2103.05672v1
• [cs.RO]FAST-Dynamic-Vision: Detection and Tracking Dynamic Objects with Event and Depth Sensing
Baotao He, Haojia Li, Siyuan Wu, Dong Wang, Zhiwei Zhang, Qianli Dong, Chao Xu, Fei Gao
http://arxiv.org/abs/2103.05903v1
• [cs.RO]Formulating Intuitive Stack-of-Tasks with Visuo-Tactile Perception for Collaborative Human-Robot Fine Manipulation
Sunny Katyara, Fanny Ficuciello, Tao Teng, Fei Chen, Bruno Siciliano, Darwin G. Caldwell
http://arxiv.org/abs/2103.05676v1
• [cs.RO]GRIT: Verifiable Goal Recognition for Autonomous Driving using Decision Trees
Cillian Brewitt, Balint Gyevnar, Stefano V. Albrecht
http://arxiv.org/abs/2103.06113v1
• [cs.RO]Grasp Stability Analysis with Passive Reactions
Maximilian Haas-Heger
http://arxiv.org/abs/2103.06252v1
• [cs.RO]Incorporating Orientations into End-to-end Driving Model for Steering Control
Peng Wan, Zhenbo Song, Jianfeng Lu
http://arxiv.org/abs/2103.05846v1
• [cs.RO]Non-Holonomic RRT & MPC: Path and Trajectory Planning for an Autonomous Cycle Rickshaw
Damir Bojadžić, Julian Kunze, Dinko Osmanković, Mohammadhossein Malmir, Alois Knoll
http://arxiv.org/abs/2103.06141v1
• [cs.RO]Nth Order Analytical Time Derivatives of Inverse Dynamics in Recursive and Closed Forms
Shivesh Kumar, Andreas Mueller
http://arxiv.org/abs/2103.05941v1
• [cs.RO]RMP2: A Structured Composable Policy Class for Robot Learning
Anqi Li, Ching-An Cheng, M. Asif Rana, Man Xie, Karl Van Wyk, Nathan Ratliff, Byron Boots
http://arxiv.org/abs/2103.05922v1
• [cs.RO]Real-Time RGBD Odometry for Fused-State Navigation Systems
Andrew R. Willis, Kevin M. Brink
http://arxiv.org/abs/2103.06236v1
• [cs.RO]Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning
Yan Wang, Cristian C. Beltran-Hernandez, Weiwei Wan, Kensuke Harada
http://arxiv.org/abs/2103.05912v1
• [cs.RO]Robust Collision-free Lightweight Aerial Autonomy for Unknown Area Exploration
Sunggoo Jung, Hanseob Lee, David Hyunchul Shim, Ali-akbar Agha-mohammadi
http://arxiv.org/abs/2103.05798v1
• [cs.RO]Simple Flagellated Soft Robot for Locomotion near Air-Fluid Interface
Yayun Du, Andrew Miller, Mohammad Khalid Jawed
http://arxiv.org/abs/2103.05712v1
• [cs.SD]Automatic Speaker Independent Dysarthric Speech Intelligibility Assessment System
Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu
http://arxiv.org/abs/2103.06157v1
• [cs.SD]Search Disaster Victims using Sound Source Localization
Abhish Khanal, Deepak Chand, Prakash Chaudhary, Subash Timilsina, Sanjeeb Prasad Panday, Aman Shakya, Rom Kant Pandey
http://arxiv.org/abs/2103.06049v1
• [cs.SE]gambit — An Open Source Name Disambiguation Tool for Version Control Systems
Christoph Gote, Christian Zingg
http://arxiv.org/abs/2103.05666v1
• [cs.SI]A principled approach for weighted multilayer network aggregation
Junyao Kuang, Caterina Scoglio
http://arxiv.org/abs/2103.05774v1
• [cs.SI]Connecting Latent ReLationships over Heterogeneous Attributed Network for Recommendation
Ziheng Duan, Yueyang Wang, Weihao Ye, Zixuan Feng, Qilin Fan, Xiuhua Li
http://arxiv.org/abs/2103.05749v1
• [cs.SI]Deep graph convolution neural network with non-negative matrix factorization for community discovery
Shuliang Xu, Shenglan Liu, Lin Feng
http://arxiv.org/abs/2103.05768v1
• [cs.SI]Effectively Counting s-t Simple Paths in Directed Graphs
Mostafa Haghir Chehreghani
http://arxiv.org/abs/2103.06102v1
• [cs.SI]HyperCI: A higher order collective influence measure for hypernetwork dismantling
Dengcheng Yan, Zijian Wu, Yiwen Zhang
http://arxiv.org/abs/2103.06117v1
• [cs.SI]On spatial variation in the detectability and density of social media user protest supporters
Víctor H. Masías, Fernando Crespo, Pilar Navarro R., Razan Masood, Nicole C. Krämer, H. Ulrich Hoppe
http://arxiv.org/abs/2103.06063v1
• [econ.EM]Extension of the Lagrange multiplier test for error cross-section independence to large panels with non normal errors
Zhaoyuan Li, Jianfeng Yao
http://arxiv.org/abs/2103.06075v1
• [econ.GN]Learning Organization using Conversational Social Network for Social Customer Relationship Management Effort
Andry Alamsyah, Yahya Peranginangin, Gabriel Nurhadi
http://arxiv.org/abs/2103.06051v1
• [eess.IV]Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
Florian Kofler, Ivan Ezhov, Fabian Isensee, Fabian Balsiger, Christoph Berger, Maximilian Koerner, Johannes Paetzold, Hongwei Li, Suprosanna Shit, Richard McKinley, Spyridon Bakas, Claus Zimmer, Donna Ankerst, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze
http://arxiv.org/abs/2103.06205v1
• [eess.IV]Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images
Devavrat Tomar, Lin Zhang, Tiziano Portenier, Orcun Goksel
http://arxiv.org/abs/2103.05745v1
• [eess.IV]Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis
Songxiao Yang, Xiabi Liu, Zhongshu Zheng, Wei Wang, Xiaohong Ma
http://arxiv.org/abs/2103.05855v1
• [eess.IV]Learning to Estimate Kernel Scale and Orientation of Defocus Blur with Asymmetric Coded Aperture
Jisheng Li, Qi Dai, Jiangtao Wen
http://arxiv.org/abs/2103.05843v1
• [eess.IV]Model-inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization
Pingfan Song, Herman Verinaz Jadan, Carmel L. Howe, Peter Quicke, Amanda J. Foust, Pier Luigi Dragotti
http://arxiv.org/abs/2103.06164v1
• [eess.IV]Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images
Li Yang, Mai Xu, Deng Xin, Bo Feng
http://arxiv.org/abs/2103.06116v1
• [eess.IV]U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
Olivier Petit, Nicolas Thome, Clément Rambour, Luc Soler
http://arxiv.org/abs/2103.06104v1
• [eess.IV]Weak labels and anatomical knowledge: making deep learning practical for intracranial aneurysm detection in TOF-MRA
Tommaso Di Noto, Guillaume Marie, Sebastien Tourbier, Yasser Alemán-Gómez, Oscar Esteban, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi
http://arxiv.org/abs/2103.06168v1
• [eess.SY]Signal Temporal Logic Task Decomposition via Convex Optimization
Maria Charitidou, Dimos V. Dimarogonas
http://arxiv.org/abs/2103.06047v1
• [math.AT]Topology Applied to Machine Learning: From Global to Local
Henry Adams, Michael Moy
http://arxiv.org/abs/2103.05796v1
• [math.NA]A Deep Learning approach to Reduced Order Modelling of Parameter Dependent Partial Differential Equations
Nicola R. Franco, Andrea Manzoni, Paolo Zunino
http://arxiv.org/abs/2103.06183v1
• [math.NA]Deep neural network approximation for high-dimensional parabolic Hamilton-Jacobi-Bellman equations
Philipp Grohs, Lukas Herrmann
http://arxiv.org/abs/2103.05744v1
• [math.NA]Oversampling errors in multimodal medical imaging are due to the Gibbs effect
Davide Poggiali, Diego Cecchin, Cristina Campi, Stefano De Marchi
http://arxiv.org/abs/2103.05964v1
• [math.OC]Symmetry Breaking in Symmetric Tensor Decomposition
Yossi Arjevani, Joan Bruna, Michael Field, Joe Kileel, Matthew Trager, Francis Williams
http://arxiv.org/abs/2103.06234v1
• [math.PR]The distribution of Yule’s “nonsense correlation” of Gaussian random walks
Dongzhou Huang
http://arxiv.org/abs/2103.06176v1
• [math.ST]Asymptotic posterior normality of the generalized extreme value distribution
Likun Zhang, Benjamin A. Shaby
http://arxiv.org/abs/2103.05747v1
• [q-bio.NC]A critical reappraisal of predicting suicidal ideation using fMRI
Timothy Verstynen, Konrad Kording
http://arxiv.org/abs/2103.06114v1
• [q-bio.NC]Embodied Continual Learning Across Developmental Time Via Developmental Braitenberg Vehicles
Bradly Alicea, Rishabh Chakrabarty, Akshara Gopi, Anson Lim, Jesse Parent
http://arxiv.org/abs/2103.05753v1
• [q-bio.QM]A registration error estimation framework for correlative imaging
Guillaume Potier, Frédéric Lavancier, Stephan Kunne, Perrine Paul-Gilloteaux
http://arxiv.org/abs/2103.06256v1
• [q-fin.GN]Complex decision-making strategies in a stock market experiment explained as the combination of few simple strategies
Gael Poux-Medard, Sergio Cobo-Lopez, Jordi Duch, Roger Guimera, Marta Sales-Pardo
http://arxiv.org/abs/2103.06121v1
• [q-fin.PM]A Bayesian Graphical Approach for Large-Scale Portfolio Management with Fewer Historical Data
Sakae Oya
http://arxiv.org/abs/2103.05880v1
• [q-fin.ST]Financial factors selection with knockoffs: fund replication, explanatory and prediction networks
Damien Challet, Christian Bongiorno, Guillaume Pelletier
http://arxiv.org/abs/2103.05921v1
• [quant-ph]Machine Learning the period finding algorithm
John George Francis, Anil Shaji
http://arxiv.org/abs/2103.05708v1
• [quant-ph]Quantum machine learning with differential privacy
William M Watkins, Samuel Yen-Chi Chen, Shinjae Yoo
http://arxiv.org/abs/2103.06232v1
• [quant-ph]The state dependence of integrated, instantaneous, and fluctuating entropy production in quantum and classical processes
Artemy Kolchinsky, David H. Wolpert
http://arxiv.org/abs/2103.05734v1
• [stat.AP]Bayesian sequential data assimilation for COVID-19 forecasting
Maria L. Daza-Torres, Marcos A. Capistrán, Antonio Capella, J. Andrés Christen
http://arxiv.org/abs/2103.06152v1
• [stat.AP]Spatio-temporal quantile regression analysis revealing more nuanced patterns of climate change: a study of long-term daily temperature in Australia
Qibin Duan, Clare A. McGrory, Glenn Brown, Kerrie Mengersen, You-Gan Wang
http://arxiv.org/abs/2103.05791v1
• [stat.AP]The efficacy of tournament designs
Balázs R. Sziklai, Péter Biró, László Csató
http://arxiv.org/abs/2103.06023v1
• [stat.CO]Monotonic Alpha-divergence Minimisation
Kamélia Daudel, Randal Douc, François Roueff
http://arxiv.org/abs/2103.05684v1
• [stat.ME]A Variational Inference Framework for Inverse Problems
Luca Maestrini, Robert G. Aykroyd, Matt P. Wand
http://arxiv.org/abs/2103.05909v1
• [stat.ME]A cautionary note on the Hanurav-Vijayan sampling algorithm
Guillaume Chauvet
http://arxiv.org/abs/2103.05915v1
• [stat.ME]Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications
Laura Jula Vanegas, Benjamin Eltzner, Daniel Rudolf, Miroslav Dura, Stephan E. Lehnart, Axel Munk
http://arxiv.org/abs/2103.06071v1
• [stat.ME]Bayesian Poisson Mortality Projections with Incomplete Data
Rui Gong, Xiaoqian Sun, Leping Liu, Yu-Bo Wang
http://arxiv.org/abs/2103.05856v1
• [stat.ME]Bias and sensitivity analysis for unmeasured confounders in linear structural equation models
Adam J. Sullivan, Tyler J. VanderWeele
http://arxiv.org/abs/2103.05775v1
• [stat.ME]Design Principles for Data Analysis
Lucy D’Agostino McGowan, Roger D. Peng, Stephanie C. Hicks
http://arxiv.org/abs/2103.05689v1
• [stat.ME]Longitudinal Mediation Analysis with Latent Growth Curves
Adam J. Sullivan, Douglas D. Gunzler, Nathan Morris, Tyler J. VanderWeele
http://arxiv.org/abs/2103.05765v1
• [stat.ME]Quantifying Sufficient Randomness for Causal Inference
Brian Knaeble, Braxton Osting, Placede Tshiaba
http://arxiv.org/abs/2103.05692v1
• [stat.ME]Stationary subspace analysis based on second-order statistics
Lea Flumian, Markus Matilainen, Klaus Nordhausen, Sara Taskinen
http://arxiv.org/abs/2103.06148v1
• [stat.ML]A Tree-based Federated Learning Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing Tan, Chung-Chou H. Chang, Lu Tang
http://arxiv.org/abs/2103.06261v1
• [stat.ML]A sampling criterion for constrained Bayesian optimization with uncertainties
Reda El Amri, Rodolphe Le Riche, Céline Helbert, Christophette Blanchet-Scalliet
http://arxiv.org/abs/2103.05706v1
• [stat.ML]Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests
Burim Ramosaj
http://arxiv.org/abs/2103.05766v1
• [stat.ML]Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events
Marc-Henri Bleu-Laine, Tejas G. Puranik, Dimitri N. Mavris, Bryan Matthews
http://arxiv.org/abs/2103.06244v1
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