astro-ph.EP - 地球与行星天体

    cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 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.PF - 计算性能 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.TH - 理论经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.EP]Machine Learning Applications to Kronian Magnetospheric Reconnection Classification
    • [cs.AI]AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection
    • [cs.AI]Commonsense Spatial Reasoning for Visually Intelligent Agents
    • [cs.AI]Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs
    • [cs.AI]Generalized Conflict-directed Search for Optimal Ordering Problems
    • [cs.AI]Online Learning Probabilistic Event Calculus Theories in Answer Set Programming
    • [cs.AI]Semantic XAI for contextualized demand forecasting explanations
    • [cs.AI]quantum Case-Based Reasoning (qCBR)
    • [cs.AR]An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform
    • [cs.CL]A Statistical Analysis of Summarization Evaluation Metrics using Resampling Methods
    • [cs.CL]An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation
    • [cs.CL]BASE Layers: Simplifying Training of Large, Sparse Models
    • [cs.CL]Collaborative construction of lexicographic and parallel datasets for African languages: first assessment
    • [cs.CL]Detecting over/under-translation errors for determining adequacy in human translations
    • [cs.CL]Domain-specific MT for Low-resource Languages: The case of Bambara-French
    • [cs.CL]Evaluating Neural Word Embeddings for Sanskrit
    • [cs.CL]Evaluating the Morphosyntactic Well-formedness of Generated Texts
    • [cs.CL]Evidence-based Verification for Real World Information Needs
    • [cs.CL]FeTaQA: Free-form Table Question Answering
    • [cs.CL]HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection
    • [cs.CL]High-dimensional distributed semantic spaces for utterances
    • [cs.CL]Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering
    • [cs.CL]Low-Resource Neural Machine Translation for South-Eastern African Languages
    • [cs.CL]Many-to-English Machine Translation Tools, Data, and Pretrained Models
    • [cs.CL]Mining Wikidata for Name Resources for African Languages
    • [cs.CL]Misinformation detection in Luganda-English code-mixed social media text
    • [cs.CL]Mitigating Media Bias through Neutral Article Generation
    • [cs.CL]Multilingual and code-switching ASR challenges for low resource Indian languages
    • [cs.CL]Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction
    • [cs.CL]Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention
    • [cs.CL]Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management
    • [cs.CL]Sampling and Filtering of Neural Machine Translation Distillation Data
    • [cs.CL]Self-harm: detection and support on Twitter
    • [cs.CL]WakaVT: A Sequential Variational Transformer for Waka Generation
    • [cs.CL]Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation
    • [cs.CR]Edge Differential Privacy for Algebraic Connectivity of Graphs
    • [cs.CV]A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior
    • [cs.CV]A Joint Network for Grasp Detection Conditioned on Natural Language Commands
    • [cs.CV]A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
    • [cs.CV]A Survey on Natural Language Video Localization
    • [cs.CV]A comparative evaluation of learned feature descriptors on hybrid monocular visual SLAM methods
    • [cs.CV]Analysis on Image Set Visual Question Answering
    • [cs.CV]Anchor Pruning for Object Detection
    • [cs.CV]Arbitrary-Shaped Text Detection withAdaptive Text Region Representation
    • [cs.CV]Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
    • [cs.CV]CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning
    • [cs.CV]Composable Augmentation Encoding for Video Representation Learning
    • [cs.CV]DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification
    • [cs.CV]Deep Two-View Structure-from-Motion Revisited
    • [cs.CV]Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition
    • [cs.CV]Divergence Optimization for Noisy Universal Domain Adaptation
    • [cs.CV]Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery
    • [cs.CV]Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset
    • [cs.CV]Efficient and Differentiable Shadow Computation for Inverse Problems
    • [cs.CV]EfficientNetV2: Smaller Models and Faster Training
    • [cs.CV]Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification
    • [cs.CV]Exploiting Relationship for Complex-scene Image Generation
    • [cs.CV]Explore Image Deblurring via Blur Kernel Space
    • [cs.CV]FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter
    • [cs.CV]Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text Area in Logo
    • [cs.CV]Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors
    • [cs.CV]Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
    • [cs.CV]Full Surround Monodepth from Multiple Cameras
    • [cs.CV]Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images
    • [cs.CV]Group-Free 3D Object Detection via Transformers
    • [cs.CV]Improved Image Generation via Sparse Modeling
    • [cs.CV]Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles
    • [cs.CV]Improving Calibration for Long-Tailed Recognition
    • [cs.CV]In&Out : Diverse Image Outpainting via GAN Inversion
    • [cs.CV]Jigsaw Clustering for Unsupervised Visual Representation Learning
    • [cs.CV]LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
    • [cs.CV]LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method
    • [cs.CV]LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
    • [cs.CV]Learning to Track Instances without Video Annotations
    • [cs.CV]Less is More: Accelerating Faster Neural Networks Straight from JPEG
    • [cs.CV]Linear Semantics in Generative Adversarial Networks
    • [cs.CV]LoFTR: Detector-Free Local Feature Matching with Transformers
    • [cs.CV]MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
    • [cs.CV]MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking
    • [cs.CV]Mesh Graphormer
    • [cs.CV]Modeling High-order Interactions across Multi-interests for Micro-video Reommendation
    • [cs.CV]Modular Adaptation for Cross-Domain Few-Shot Learning
    • [cs.CV]Motion Guided Attention Fusion to Recognize Interactions from Videos
    • [cs.CV]Multiview Pseudo-Labeling for Semi-supervised Learning from Video
    • [cs.CV]NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization
    • [cs.CV]Neural Video Portrait Relighting in Real-time via Consistency Modeling
    • [cs.CV]NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
    • [cs.CV]One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
    • [cs.CV]Online Multiple Object Tracking with Cross-Task Synergy
    • [cs.CV]Passive Inter-Photon Imaging
    • [cs.CV]PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
    • [cs.CV]Positive Sample Propagation along the Audio-Visual Event Line
    • [cs.CV]Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
    • [cs.CV]RGB-D Local Implicit Function for Depth Completion of Transparent Objects
    • [cs.CV]RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation
    • [cs.CV]Reconstructing 3D Human Pose by Watching Humans in the Mirror
    • [cs.CV]RetrievalFuse: Neural 3D Scene Reconstruction with a Database
    • [cs.CV]SCALoss: Side and Corner Aligned Loss for Bounding Box Regression
    • [cs.CV]STMTrack: Template-free Visual Tracking with Space-time Memory Networks
    • [cs.CV]Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet
    • [cs.CV]Selective Feature Compression for Efficient Activity Recognition Inference
    • [cs.CV]Self-supervised Motion Learning from Static Images
    • [cs.CV]Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training
    • [cs.CV]SimPoE: Simulated Character Control for 3D Human Pose Estimation
    • [cs.CV]Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches
    • [cs.CV]Spatial-Temporal Graph Transformer for Multiple Object Tracking
    • [cs.CV]Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits
    • [cs.CV]Target Transformed Regression for Accurate Tracking
    • [cs.CV]Text to Image Generation with Semantic-Spatial Aware GAN
    • [cs.CV]The surprising impact of mask-head architecture on novel class segmentation
    • [cs.CV]Towards Evaluating and Training Verifiably Robust Neural Networks
    • [cs.CV]Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer
    • [cs.CV]TrajeVAE — Controllable Human Motion Generation from Trajectories
    • [cs.CV]Two-phase weakly supervised object detection with pseudo ground truth mining
    • [cs.CV]UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training
    • [cs.CV]Unconstrained Scene Generation with Locally Conditioned Radiance Fields
    • [cs.CV]Unsupervised Degradation Representation Learning for Blind Super-Resolution
    • [cs.CV]Unsupervised Domain Expansion for Visual Categorization
    • [cs.CV]Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs
    • [cs.CV]Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks
    • [cs.CV]Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning
    • [cs.CV]Unsupervised Sound Localization via Iterative Contrastive Learning
    • [cs.CV]Visual Attention in Imaginative Agents
    • [cs.CV]Wide-Depth-Range 6D Object Pose Estimation in Space
    • [cs.CY]Blockchain and smart contract for IoT enabled smart agriculture
    • [cs.CY]Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
    • [cs.CY]Models and numbers: Representing the world or imposing order?
    • [cs.CY]Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers
    • [cs.DB]Replicate or Relocate? Non-Uniform Access in Parameter Servers
    • [cs.DC]Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling
    • [cs.DC]Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters
    • [cs.DC]Real-time Data Infrastructure at Uber
    • [cs.GT]Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy
    • [cs.HC]Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
    • [cs.IT]今日学术视野(2021.4.3) - 图1-Geodesical Skew Divergence
    • [cs.IT]Channel Measurement and Path-Loss Characterization for Low-Terahertz Indoor Scenarios
    • [cs.IT]Log-domain decoding of quantum LDPC codes over binary finite fields
    • [cs.IT]Rate-Splitting Multiple Access for Multi-Antenna Broadcast Channels with Statistical CSIT
    • [cs.IT]Rate-Splitting Multiple Access for Multigroup Multicast Cellular and Satellite Communications: PHY Layer Design and Link-Level Simulations
    • [cs.LG]Achieving Transparency Report Privacy in Linear Time
    • [cs.LG]An Investigation of Critical Issues in Bias Mitigation Techniques
    • [cs.LG]Analysis and modeling to forecast in time series: a systematic review
    • [cs.LG]Avalanche: an End-to-End Library for Continual Learning
    • [cs.LG]Bayesian Graph Convolutional Network for Traffic Prediction
    • [cs.LG]Convolutional Dynamic Alignment Networks for Interpretable Classifications
    • [cs.LG]DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation
    • [cs.LG]Domain Invariant Adversarial Learning
    • [cs.LG]Fast Certified Robust Training via Better Initialization and Shorter Warmup
    • [cs.LG]Fast Jacobian-Vector Product for Deep Networks
    • [cs.LG]Federated Few-Shot Learning with Adversarial Learning
    • [cs.LG]Fitting Elephants
    • [cs.LG]Gaussian Process Convolutional Dictionary Learning
    • [cs.LG]Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
    • [cs.LG]Latent Space Data Assimilation by using Deep Learning
    • [cs.LG]Learning Rates for Multi-task Regularization Networks
    • [cs.LG]Learning with Neural Tangent Kernels in Near Input Sparsity Time
    • [cs.LG]Model Selection’s Disparate Impact in Real-World Deep Learning Applications
    • [cs.LG]On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI
    • [cs.LG]Optimization Algorithm for Feedback and Feedforward Policies towards Robot Control Robust to Sensing Failures
    • [cs.LG]Optimizer Fusion: Efficient Training with Better Locality and Parallelism
    • [cs.LG]PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
    • [cs.LG]RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning
    • [cs.LG]SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
    • [cs.LG]Smartphone Camera Oximetry in an Induced Hypoxemia Study
    • [cs.LG]Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix
    • [cs.LG]Sub-GMN: The Subgraph Matching Network Model
    • [cs.LG]TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness
    • [cs.LG]The Compact Support Neural Network
    • [cs.LG]Touch-based Curiosity for Sparse-Reward Tasks
    • [cs.LG]Towards creativity characterization of generative models via group-based subset scanning
    • [cs.LG]Using Python for Model Inference in Deep Learning
    • [cs.LG]Variational Inference MPC using Tsallis Divergence
    • [cs.LG]Why is AI hard and Physics simple?
    • [cs.NE]Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder
    • [cs.NI]Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
    • [cs.NI]Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces
    • [cs.PF]Pinpointing the Memory Behaviors of DNN Training
    • [cs.RO]Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots
    • [cs.RO]Efficient Set-Based Approaches for the Reliable Computation of Robot Capabilities
    • [cs.RO]Force-and-moment-based Model Predictive Control for Achieving Highly Dynamic Locomotion on Bipedal Robots
    • [cs.RO]Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation
    • [cs.RO]Hierarchical Road Topology Learning for Urban Map-less Driving
    • [cs.RO]LazyDAgger: Reducing Context Switching in Interactive Imitation Learning
    • [cs.RO]Learning Human Objectives from Sequences of Physical Corrections
    • [cs.RO]Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test
    • [cs.RO]Planning for Safe Abortable Overtaking Maneuvers in Autonomous Driving
    • [cs.RO]Residual Model Learning for Microrobot Control
    • [cs.RO]Sample-efficient Gear-ratio Optimization for Biomechanical Energy Harvester
    • [cs.SD]Auto-KWS 2021 Challenge: Task, Datasets, and Baselines
    • [cs.SD]Enriched Music Representations with Multiple Cross-modal Contrastive Learning
    • [cs.SD]OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection
    • [cs.SD]Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
    • [cs.SE]SkiffOS: Minimal Cross-compiled Linux for Embedded Containers
    • [cs.SI]Transfer Learning for Node Regression Applied to Spreading Prediction
    • [econ.EM]Forecasting open-high-low-close data contained in candlestick chart
    • [econ.TH]Robust Experimentation in the Continuous Time Bandit Problem
    • [eess.AS]CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN
    • [eess.AS]Fast DCTTS: Efficient Deep Convolutional Text-to-Speech
    • [eess.AS]Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone
    • [eess.AS]Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition
    • [eess.AS]Pre-training for low resource speech-to-intent applications
    • [eess.IV]Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis
    • [eess.IV]Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
    • [eess.IV]High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation
    • [eess.IV]Learning Deep Latent Subspaces for Image Denoising
    • [eess.IV]Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks
    • [eess.IV]SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification
    • [eess.IV]State-of-the-art segmentation network fooled to segment a heart symbol in chest X-Ray images
    • [eess.SY]Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment
    • [eess.SY]Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A Balance System Case
    1000
    Study
    • [eess.SY]Delay-Tolerant Consensus-based Distributed Estimation: Full-Rank Systems with Potentially Unstable Dynamics
    • [eess.SY]Distributed support-vector-machine over dynamic balanced directed networks
    • [eess.SY]Trajectory Tracking of Underactuated Sea Vessels With Uncertain Dynamics: An Integral Reinforcement Learning Approach
    • [math.CO]A note on Barker sequences of even length
    • [math.NA]A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions
    • [math.OC]Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method
    • [math.OC]Distributed Picard Iteration
    • [math.OC]Saddle Point Optimization with Approximate Minimization Oracle
    • [math.PR]Stochastic Modeling of an Infectious Disease, Part III-B: Analysis of the Time-Nonhomogeneous BDI Process and Simulation Experiments of both BD and BDI Processes
    • [math.ST]Effects of Causes and Causes of Effects
    • [math.ST]Schrödinger encounters Fisher and Rao: a survey
    • [physics.comp-ph]Physics-informed neural networks for the shallow-water equations on the sphere
    • [stat.AP]Can the center lane really have advantages for swimmers?
    • [stat.AP]Exploiting offshore wind and solar resources in the Mediterranean using ERA5 reanalysis data
    • [stat.AP]Identifying brain hierarchical structures associated with Alzheimer’s disease using a regularized regression method with tree predictors
    • [stat.AP]Repeated measurements with unintended feedback: The Dutch new herring scandals
    • [stat.ME]Ancestral state reconstruction with large numbers of sequences and edge-length estimation
    • [stat.ME]Bayesian Functional Principal Components Analysis via Variational Message Passing
    • [stat.ME]Cross-validation: what does it estimate and how well does it do it?
    • [stat.ME]Edge-promoting adaptive Bayesian experimental design for X-ray imaging
    • [stat.ME]LinDA: Linear Models for Differential Abundance Analysis of Microbiome Compositional Data
    • [stat.ME]Model-based fuzzy time series clustering of conditional higher moments
    • [stat.ME]On Computationally-Scalable Spatio-Temporal Regression Clustering of Precipitation Threshold Excesses
    • [stat.ME]Planning SMARTs: Sample size estimation for comparing dynamic treatment regimens using longitudinal count outcomes with excess zeros
    • [stat.ME]RADIOHEAD: Radiogenomic Analysis Incorporating Tumor Heterogeneity in Imaging Through Densities
    • [stat.ME]Scalable Statistical Inference of Photometric Redshift via Data Subsampling
    • [stat.ME]Statistical significance revisited
    • [stat.ML]Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic
    • [stat.ML]High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees
    • [stat.ML]Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic Data
    • [stat.ML]Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators
    • [stat.ML]NeRF-VAE: A Geometry Aware 3D Scene Generative Model
    • [stat.ML]Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
    • [stat.ML]Storchastic: A Framework for General Stochastic Automatic Differentiation
    • [stat.ML]fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation

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

    • [astro-ph.EP]Machine Learning Applications to Kronian Magnetospheric Reconnection Classification
    Tadhg M. Garton, Caitriona M. Jackman, Andy W. Smith, Kiley L. Yeakel, Shane A. Maloney, Jon Vandegriff
    http://arxiv.org/abs/2104.00496v1

    • [cs.AI]AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection
    Marina Haliem, Vaneet Aggarwal, Bharat Bhargava
    http://arxiv.org/abs/2104.00203v1

    • [cs.AI]Commonsense Spatial Reasoning for Visually Intelligent Agents
    Agnese Chiatti, Gianluca Bardaro, Enrico Motta, Enrico Daga
    http://arxiv.org/abs/2104.00387v1

    • [cs.AI]Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs
    Martin Käppel, Stefan Jablonski, Stefan Schönig
    http://arxiv.org/abs/2104.00362v1

    • [cs.AI]Generalized Conflict-directed Search for Optimal Ordering Problems
    Jingkai Chen, Yuening Zhang, Cheng Fang, Brian C. Williams
    http://arxiv.org/abs/2104.00060v1

    • [cs.AI]Online Learning Probabilistic Event Calculus Theories in Answer Set Programming
    Nikos Katzouris, Alexander Artikis, Georgios Paliouras
    http://arxiv.org/abs/2104.00158v1

    • [cs.AI]Semantic XAI for contextualized demand forecasting explanations
    Jože M. Rožanec, Dunja Mladenić
    http://arxiv.org/abs/2104.00452v1

    • [cs.AI]quantum Case-Based Reasoning (qCBR)
    Parfait Atchade-Adelomou, Daniel Casado-Fauli, Elisabet Golobardes-Ribe, Xavier Vilasis-Cardona
    http://arxiv.org/abs/2104.00409v1

    • [cs.AR]An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform
    Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu
    http://arxiv.org/abs/2104.00192v1

    • [cs.CL]A Statistical Analysis of Summarization Evaluation Metrics using Resampling Methods
    Daniel Deutsch, Rotem Dror, Dan Roth
    http://arxiv.org/abs/2104.00054v1

    • [cs.CL]An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation
    Lidia Kidane, Sachin Kumar, Yulia Tsvetkov
    http://arxiv.org/abs/2103.16789v1

    • [cs.CL]BASE Layers: Simplifying Training of Large, Sparse Models
    Mike Lewis, Shruti Bhosale, Tim Dettmers, Naman Goyal, Luke Zettlemoyer
    http://arxiv.org/abs/2103.16716v1

    • [cs.CL]Collaborative construction of lexicographic and parallel datasets for African languages: first assessment
    Elvis Mboning Tchiaze
    http://arxiv.org/abs/2103.16712v1

    • [cs.CL]Detecting over/under-translation errors for determining adequacy in human translations
    Prabhakar Gupta, Ridha Juneja, Anil Nelakanti, Tamojit Chatterjee
    http://arxiv.org/abs/2104.00267v1

    • [cs.CL]Domain-specific MT for Low-resource Languages: The case of Bambara-French
    Allahsera Auguste Tapo, Michael Leventhal, Sarah Luger, Christopher M. Homan, Marcos Zampieri
    http://arxiv.org/abs/2104.00041v1

    • [cs.CL]Evaluating Neural Word Embeddings for Sanskrit
    Jivnesh Sandhan, Om Adideva, Digumarthi Komal, Laxmidhar Behera, Pawan Goyal
    http://arxiv.org/abs/2104.00270v1

    • [cs.CL]Evaluating the Morphosyntactic Well-formedness of Generated Texts
    Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov
    http://arxiv.org/abs/2103.16590v1

    • [cs.CL]Evidence-based Verification for Real World Information Needs
    James Thorne, Max Glockner, Gisela Vallejo, Andreas Vlachos, Iryna Gurevych
    http://arxiv.org/abs/2104.00640v1

    • [cs.CL]FeTaQA: Free-form Table Question Answering
    Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryściński, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir Radev
    http://arxiv.org/abs/2104.00369v1

    • [cs.CL]HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection
    Rafel Palliser, Albert Rial
    http://arxiv.org/abs/2104.00639v1

    • [cs.CL]High-dimensional distributed semantic spaces for utterances
    Jussi Karlgren, Pentti Kanerva
    http://arxiv.org/abs/2104.00424v1

    • [cs.CL]Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering
    Xu Wang, Shuai Zhao, Bo Cheng, Jiale Han, Yingting Li, Hao Yang, Ivan Sekulic, Guoshun Nan
    http://arxiv.org/abs/2104.00218v1

    • [cs.CL]Low-Resource Neural Machine Translation for South-Eastern African Languages
    Evander Nyoni, Bruce A. Bassett
    http://arxiv.org/abs/2104.00366v1

    • [cs.CL]Many-to-English Machine Translation Tools, Data, and Pretrained Models
    Thamme Gowda, Zhao Zhang, Chris A Mattmann, Jonathan May
    http://arxiv.org/abs/2104.00290v1

    • [cs.CL]Mining Wikidata for Name Resources for African Languages
    Jonne Sälevä, Constantine Lignos
    http://arxiv.org/abs/2104.00558v1

    • [cs.CL]Misinformation detection in Luganda-English code-mixed social media text
    Peter Nabende, David Kabiito, Claire Babirye, Hewitt Tusiime, Joyce Nakatumba-Nabende
    http://arxiv.org/abs/2104.00124v1

    • [cs.CL]Mitigating Media Bias through Neutral Article Generation
    Nayeon Lee, Yejin Bang, Andrea Madotto, Pascale Fung
    http://arxiv.org/abs/2104.00336v1

    • [cs.CL]Multilingual and code-switching ASR challenges for low resource Indian languages
    Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan, Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan, Tejaswi Seeram, Basil Abraham
    http://arxiv.org/abs/2104.00235v1

    • [cs.CL]Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction
    Luoqiu Li, Xiang Chen, Ningyu Zhang, Shumin Deng, Xin Xie, Chuanqi Tan, Mosha Chen, Fei Huang, Huajun Chen
    http://arxiv.org/abs/2104.00312v1

    • [cs.CL]Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention
    Hsuan Su, Jiun-Hao Jhan, Fan-yun Sun, Saurav Sahay, Hung-yi Lee
    http://arxiv.org/abs/2103.16429v3

    • [cs.CL]Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management
    Ngoc Phuoc An Vo, Irene Manotas, Octavian Popescu, Algimantas Cerniauskas, Vadim Sheinin
    http://arxiv.org/abs/2104.00660v1

    • [cs.CL]Sampling and Filtering of Neural Machine Translation Distillation Data
    Vilém Zouhar
    http://arxiv.org/abs/2104.00664v1

    • [cs.CL]Self-harm: detection and support on Twitter
    Muhammad Abubakar Alhassan, Isa Inuwa-Dutse, Bello Shehu Bello, Diane Pennington
    http://arxiv.org/abs/2104.00174v1

    • [cs.CL]WakaVT: A Sequential Variational Transformer for Waka Generation
    Yuka Takeishi, Mingxuan Niu, Jing Luo, Zhong Jin, Xinyu Yang
    http://arxiv.org/abs/2104.00426v1

    • [cs.CL]Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation
    Aviral Joshi, Chengzhi Huang, Har Simrat Singh
    http://arxiv.org/abs/2104.00106v1

    • [cs.CR]Edge Differential Privacy for Algebraic Connectivity of Graphs
    Bo Chen, Calvin Hawkins, Kasra Yazdani, Matthew Hale
    http://arxiv.org/abs/2104.00654v1

    • [cs.CV]A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior
    Yihao Zhang, John J. Leonard
    http://arxiv.org/abs/2104.00562v1

    • [cs.CV]A Joint Network for Grasp Detection Conditioned on Natural Language Commands
    Yiye Chen, Ruinian Xu, Yunzhi Lin, Patricio A. Vela
    http://arxiv.org/abs/2104.00492v1

    • [cs.CV]A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
    Jong-Chyi Su, Zezhou Cheng, Subhransu Maji
    http://arxiv.org/abs/2104.00679v1

    • [cs.CV]A Survey on Natural Language Video Localization
    Xinfang Liu, Xiushan Nie, Zhifang Tan, Jie Guo, Yilong Yin
    http://arxiv.org/abs/2104.00234v1

    • [cs.CV]A comparative evaluation of learned feature descriptors on hybrid monocular visual SLAM methods
    Hudson M. S. Bruno, Esther L. Colombini
    http://arxiv.org/abs/2104.00085v1

    • [cs.CV]Analysis on Image Set Visual Question Answering
    Abhinav Khattar, Aviral Joshi, Har Simrat Singh, Pulkit Goel, Rohit Prakash Barnwal
    http://arxiv.org/abs/2104.00107v1

    • [cs.CV]Anchor Pruning for Object Detection
    Maxim Bonnaerens, Matthias Freiberger, Joni Dambre
    http://arxiv.org/abs/2104.00432v1

    • [cs.CV]Arbitrary-Shaped Text Detection withAdaptive Text Region Representation
    Xiufeng Jiang, Shugong Xu, Shunqing Zhang, Shan Cao
    http://arxiv.org/abs/2104.00297v1

    • [cs.CV]Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
    Rongjie Li, Songyang Zhang, Bo Wan, Xuming He
    http://arxiv.org/abs/2104.00308v1

    • [cs.CV]CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning
    Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang
    http://arxiv.org/abs/2104.00285v1

    • [cs.CV]Composable Augmentation Encoding for Video Representation Learning
    Chen Sun, Arsha Nagrani, Yonglong Tian, Cordelia Schmid
    http://arxiv.org/abs/2104.00616v1

    • [cs.CV]DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification
    Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo
    http://arxiv.org/abs/2104.00226v1

    • [cs.CV]Deep Two-View Structure-from-Motion Revisited
    Jianyuan Wang, Yiran Zhong, Yuchao Dai, Stan Birchfield, Kaihao Zhang, Nikolai Smolyanskiy, Hongdong Li
    http://arxiv.org/abs/2104.00556v1

    • [cs.CV]Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition
    Jiahui She, Yibo Hu, Hailin Shi, Jun Wang, Qiu Shen, Tao Mei
    http://arxiv.org/abs/2104.00232v1

    • [cs.CV]Divergence Optimization for Noisy Universal Domain Adaptation
    Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku
    http://arxiv.org/abs/2104.00246v1

    • [cs.CV]Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery
    Martini Mauro, Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge
    http://arxiv.org/abs/2104.00564v1

    • [cs.CV]Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset
    Farnoosh Faraji, Faraz Lotfi, Javad Khorramdel, Ali Najafi, Ali Ghaffari
    http://arxiv.org/abs/2104.00125v1

    • [cs.CV]Efficient and Differentiable Shadow Computation for Inverse Problems
    Linjie Lyu, Marc Habermann, Lingjie Liu, Mallikarjun B R, Ayush Tewari, Christian Theobalt
    http://arxiv.org/abs/2104.00359v1

    • [cs.CV]EfficientNetV2: Smaller Models and Faster Training
    Mingxing Tan, Quoc V. Le
    http://arxiv.org/abs/2104.00298v1

    • [cs.CV]Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification
    Qi Zhao, Yujing Ma, Shuchang Lyu, Lijiang Chen
    http://arxiv.org/abs/2104.00222v1

    • [cs.CV]Exploiting Relationship for Complex-scene Image Generation
    Tianyu Hua, Hongdong Zheng, Yalong Bai, Wei Zhang, Xiao-Ping Zhang, Tao Mei
    http://arxiv.org/abs/2104.00356v1

    • [cs.CV]Explore Image Deblurring via Blur Kernel Space
    Phong Tran, Anh Tran, Quynh Phung, Minh Hoai
    http://arxiv.org/abs/2104.00317v1

    • [cs.CV]FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter
    Khoi Nguyen, Sinisa Todorovic
    http://arxiv.org/abs/2104.00073v1

    • [cs.CV]Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text Area in Logo
    Shintaro Nishi, Takeaki Kadota, Seiichi Uchida
    http://arxiv.org/abs/2104.00327v1

    • [cs.CV]Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors
    Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox
    http://arxiv.org/abs/2104.00476v1

    • [cs.CV]Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
    Max Bain, Arsha Nagrani, Gül Varol, Andrew Zisserman
    http://arxiv.org/abs/2104.00650v1

    • [cs.CV]Full Surround Monodepth from Multiple Cameras
    Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
    http://arxiv.org/abs/2104.00152v1

    • [cs.CV]Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images
    Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael Fulham, Jinman Kim
    http://arxiv.org/abs/2104.00201v1

    • [cs.CV]Group-Free 3D Object Detection via Transformers
    Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong
    http://arxiv.org/abs/2104.00678v1

    • [cs.CV]Improved Image Generation via Sparse Modeling
    Roy Ganz, Michael Elad
    http://arxiv.org/abs/2104.00464v1

    • [cs.CV]Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles
    Muhyun Back, Jinkyu Lee, Kyuho Bae, Sung Soo Hwang, Il Yong Chun
    http://arxiv.org/abs/2104.00169v1

    • [cs.CV]Improving Calibration for Long-Tailed Recognition
    Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia
    http://arxiv.org/abs/2104.00466v1

    • [cs.CV]In&Out : Diverse Image Outpainting via GAN Inversion
    Yen-Chi Cheng, Chieh Hubert Lin, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Ming-Hsuan Yang
    http://arxiv.org/abs/2104.00675v1

    • [cs.CV]Jigsaw Clustering for Unsupervised Visual Representation Learning
    Pengguang Chen, Shu Liu, Jiaya Jia
    http://arxiv.org/abs/2104.00323v1

    • [cs.CV]LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
    Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai
    http://arxiv.org/abs/2104.00568v1

    • [cs.CV]LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method
    Hudson M. S. Bruno, Esther L. Colombini
    http://arxiv.org/abs/2104.00099v1

    • [cs.CV]LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
    ByeoungDo Kim, Seong Hyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi
    http://arxiv.org/abs/2104.00249v1

    • [cs.CV]Learning to Track Instances without Video Annotations
    Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz
    http://arxiv.org/abs/2104.00287v1

    • [cs.CV]Less is More: Accelerating Faster Neural Networks Straight from JPEG
    Samuel Felipe dos Santos, Jurandy Almeida
    http://arxiv.org/abs/2104.00185v1

    • [cs.CV]Linear Semantics in Generative Adversarial Networks
    Jianjin Xu, Changxi Zheng
    http://arxiv.org/abs/2104.00487v1

    • [cs.CV]LoFTR: Detector-Free Local Feature Matching with Transformers
    Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, Xiaowei Zhou
    http://arxiv.org/abs/2104.00680v1

    • [cs.CV]MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
    Shuo Han, Samuel Remedios, Aaron Carass, Michael Schär, Jerry L. Prince
    http://arxiv.org/abs/2104.00100v1

    • [cs.CV]MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking
    Jennifer Jang, Heinrich Jiang
    http://arxiv.org/abs/2104.00303v1

    • [cs.CV]Mesh Graphormer
    Kevin Lin, Lijuan Wang, Zicheng Liu
    http://arxiv.org/abs/2104.00272v1

    • [cs.CV]Modeling High-order Interactions across Multi-interests for Micro-video Reommendation
    Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu
    http://arxiv.org/abs/2104.00305v1

    • [cs.CV]Modular Adaptation for Cross-Domain Few-Shot Learning
    Xiao Lin, Meng Ye, Yunye Gong, Giedrius Buracas, Nikoletta Basiou, Ajay Divakaran, Yi Yao
    http://arxiv.org/abs/2104.00619v1

    • [cs.CV]Motion Guided Attention Fusion to Recognize Interactions from Videos
    Tae Soo Kim, Jonathan Jones, Gregory D. Hager
    http://arxiv.org/abs/2104.00646v1

    • [cs.CV]Multiview Pseudo-Labeling for Semi-supervised Learning from Video
    Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer
    http://arxiv.org/abs/2104.00682v1

    • [cs.CV]NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization
    Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze
    http://arxiv.org/abs/2104.00031v1

    • [cs.CV]Neural Video Portrait Relighting in Real-time via Consistency Modeling
    Longwen Zhang, Qixuan Zhang, Minye Wu, Jingyi Yu, Lan Xu
    http://arxiv.org/abs/2104.00484v1

    • [cs.CV]NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
    Jiaming Sun, Yiming Xie, Linghao Chen, Xiaowei Zhou, Hujun Bao
    http://arxiv.org/abs/2104.00681v1

    • [cs.CV]One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
    Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling
    http://arxiv.org/abs/2104.00597v1

    • [cs.CV]Online Multiple Object Tracking with Cross-Task Synergy
    Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao
    http://arxiv.org/abs/2104.00380v1

    • [cs.CV]Passive Inter-Photon Imaging
    Atul Ingle, Trevor Seets, Mauro Buttafava, Shantanu Gupta, Alberto Tosi, Mohit Gupta, Andreas Velten
    http://arxiv.org/abs/2104.00059v1

    • [cs.CV]PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
    Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely
    http://arxiv.org/abs/2104.00674v1

    • [cs.CV]Positive Sample Propagation along the Audio-Visual Event Line
    Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, Meng Wang
    http://arxiv.org/abs/2104.00239v1

    • [cs.CV]Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
    Ajay Jain, Matthew Tancik, Pieter Abbeel
    http://arxiv.org/abs/2104.00677v1

    • [cs.CV]RGB-D Local Implicit Function for Depth Completion of Transparent Objects
    Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox
    http://arxiv.org/abs/2104.00622v1

    • [cs.CV]RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation
    Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani
    http://arxiv.org/abs/2104.00633v1

    • [cs.CV]Reconstructing 3D Human Pose by Watching Humans in the Mirror
    Qi Fang, Qing Shuai, Junting Dong, Hujun Bao, Xiaowei Zhou
    http://arxiv.org/abs/2104.00340v1

    • [cs.CV]RetrievalFuse: Neural 3D Scene Reconstruction with a Database
    Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai
    http://arxiv.org/abs/2104.00024v1

    • [cs.CV]SCALoss: Side and Corner Aligned Loss for Bounding Box Regression
    Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai
    http://arxiv.org/abs/2104.00462v1

    • [cs.CV]STMTrack: Template-free Visual Tracking with Space-time Memory Networks
    Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang
    http://arxiv.org/abs/2104.00324v1

    • [cs.CV]Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet
    Andres Baloian, Nils Murrugarra-Llerena, Jose M. Saavedra
    http://arxiv.org/abs/2104.00161v1

    • [cs.CV]Selective Feature Compression for Efficient Activity Recognition Inference
    Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe
    http://arxiv.org/abs/2104.00179v1

    • [cs.CV]Self-supervised Motion Learning from Static Images
    Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo Ang
    http://arxiv.org/abs/2104.00240v1

    • [cs.CV]Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training
    Yoonhyung Kim, Changick Kim
    http://arxiv.org/abs/2104.00319v1

    • [cs.CV]SimPoE: Simulated Character Control for 3D Human Pose Estimation
    Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, Jason Saragih
    http://arxiv.org/abs/2104.00683v1

    • [cs.CV]Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches
    Benoit Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua
    http://arxiv.org/abs/2104.00482v1

    • [cs.CV]Spatial-Temporal Graph Transformer for Multiple Object Tracking
    Peng Chu, Jiang Wang, Quanzeng You, Haibin Ling, Zicheng Liu
    http://arxiv.org/abs/2104.00194v1

    • [cs.CV]Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits
    Hojung Lee, Jong-Seok Lee
    http://arxiv.org/abs/2104.00299v1

    • [cs.CV]Target Transformed Regression for Accurate Tracking
    Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu
    http://arxiv.org/abs/2104.00403v1

    • [cs.CV]Text to Image Generation with Semantic-Spatial Aware GAN
    Wentong Liao, Kai Hu, Michael Ying Yang, Bodo Rosenhahn
    http://arxiv.org/abs/2104.00567v1

    • [cs.CV]The surprising impact of mask-head architecture on novel class segmentation
    Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang
    http://arxiv.org/abs/2104.00613v1

    • [cs.CV]Towards Evaluating and Training Verifiably Robust Neural Networks
    Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin
    http://arxiv.org/abs/2104.00447v1

    • [cs.CV]Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer
    Phuoc Pham, Jacob Abraham, Jaeyong Chung
    http://arxiv.org/abs/2104.00210v1

    • [cs.CV]TrajeVAE — Controllable Human Motion Generation from Trajectories
    Kacper Kania, Marek Kowalski, Tomasz Trzciński
    http://arxiv.org/abs/2104.00351v1

    • [cs.CV]Two-phase weakly supervised object detection with pseudo ground truth mining
    Jun Wang
    http://arxiv.org/abs/2104.00231v1

    • [cs.CV]UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training
    Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu
    http://arxiv.org/abs/2104.00332v1

    • [cs.CV]Unconstrained Scene Generation with Locally Conditioned Radiance Fields
    Terrance DeVries, Miguel Angel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
    http://arxiv.org/abs/2104.00670v1

    • [cs.CV]Unsupervised Degradation Representation Learning for Blind Super-Resolution
    Longguang Wang, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jungang Yang, Wei An, Yulan Guo
    http://arxiv.org/abs/2104.00416v1

    • [cs.CV]Unsupervised Domain Expansion for Visual Categorization
    Jie Wang, Kaibin Tian, Dayong Ding, Gang Yang, Xirong Li
    http://arxiv.org/abs/2104.00233v1

    • [cs.CV]Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs
    Yu Yang, Hakan Bilen, Qiran Zou, Wing Yin Cheung, Xiangyang Ji
    http://arxiv.org/abs/2104.00483v1

    • [cs.CV]Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks
    Guangming Wang, Hesheng Wang, Yiling Liu, Weidong Chen
    http://arxiv.org/abs/2104.00431v1

    • [cs.CV]Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning
    Junhui Yin, Jiayan Qiu, Siqing Zhang, Jiyang Xie, Zhanyu Ma, Jun Guo
    http://arxiv.org/abs/2104.00202v1

    • [cs.CV]Unsupervised Sound Localization via Iterative Contrastive Learning
    Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, Ming-Hsuan Yang
    http://arxiv.org/abs/2104.00315v1

    • [cs.CV]Visual Attention in Imaginative Agents
    Samrudhdhi B. Rangrej, James J. Clark
    http://arxiv.org/abs/2104.00177v1

    • [cs.CV]Wide-Depth-Range 6D Object Pose Estimation in Space
    Yinlin Hu, Sebastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann
    http://arxiv.org/abs/2104.00337v1

    • [cs.CY]Blockchain and smart contract for IoT enabled smart agriculture
    Tahmid Hasan Pranto, Abdulla All Noman, Atik Mahmud, AKM Bahalul Haque
    http://arxiv.org/abs/2104.00632v1

    • [cs.CY]Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
    Lea A. Shanley, Lucy Fortson, Tanya Berger-Wolf, Kevin Crowston, Pietro Michelucci
    http://arxiv.org/abs/2104.00093v1

    • [cs.CY]Models and numbers: Representing the world or imposing order?
    Matthias Kaiser, Tatjana Buklijas, Peter Gluckman
    http://arxiv.org/abs/2104.00029v1

    • [cs.CY]Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers
    Christina N. Harrington, Ben Jelen, Amanda Lazar, Aqueasha Martin-Hammond, Alisha Pradhan, Blaine Reeder, Katie Siek
    http://arxiv.org/abs/2104.00096v1

    • [cs.DB]Replicate or Relocate? Non-Uniform Access in Parameter Servers
    Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, Volker Markl
    http://arxiv.org/abs/2104.00501v1

    • [cs.DC]Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling
    Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James Ahrens
    http://arxiv.org/abs/2104.00178v1

    • [cs.DC]Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters
    Xinxin Mei, Qiang Wang, Xiaowen Chu, Hai Liu, Yiu-Wing Leung, Zongpeng Li
    http://arxiv.org/abs/2104.00486v1

    • [cs.DC]Real-time Data Infrastructure at Uber
    Yupeng Fu, Chinmay Soman
    http://arxiv.org/abs/2104.00087v1

    • [cs.GT]Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy
    Daniel Reusche, Nicolás Della Penna
    http://arxiv.org/abs/2104.00159v1

    • [cs.HC]Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
    Daniel Buschek, Lukas Mecke, Florian Lehmann, Hai Dang
    http://arxiv.org/abs/2104.00358v1

    • [cs.IT]今日学术视野(2021.4.3) - 图2-Geodesical Skew Divergence
    Masanari Kimura, Hideitsu Hino
    http://arxiv.org/abs/2103.17060v2

    • [cs.IT]Channel Measurement and Path-Loss Characterization for Low-Terahertz Indoor Scenarios
    Jia He, Yi Chen, Yiqin Wang, Ziming Yu, Chong Han
    http://arxiv.org/abs/2104.00347v1

    • [cs.IT]Log-domain decoding of quantum LDPC codes over binary finite fields
    Kao-Yueh Kuo, Ching-Yi Lai
    http://arxiv.org/abs/2104.00304v1

    • [cs.IT]Rate-Splitting Multiple Access for Multi-Antenna Broadcast Channels with Statistical CSIT
    Longfei Yin, Bruno Clerckx, Yijie Mao
    http://arxiv.org/abs/2104.00220v1

    • [cs.IT]Rate-Splitting Multiple Access for Multigroup Multicast Cellular and Satellite Communications: PHY Layer Design and Link-Level Simulations
    Longfei Yin, Onur Dizdar, Bruno Clerckx
    http://arxiv.org/abs/2104.00206v1

    • [cs.LG]Achieving Transparency Report Privacy in Linear Time
    Chien-Lun Chen, Leana Golubchik, Ranjan Pal
    http://arxiv.org/abs/2104.00137v1

    • [cs.LG]An Investigation of Critical Issues in Bias Mitigation Techniques
    Robik Shrestha, Kushal Kafle, Christopher Kanan
    http://arxiv.org/abs/2104.00170v1

    • [cs.LG]Analysis and modeling to forecast in time series: a systematic review
    Fatoumata Dama, Christine Sinoquet
    http://arxiv.org/abs/2104.00164v1

    • [cs.LG]Avalanche: an End-to-End Library for Continual Learning
    Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
    http://arxiv.org/abs/2104.00405v1

    • [cs.LG]Bayesian Graph Convolutional Network for Traffic Prediction
    Jun Fu, Wei Zhou, Zhibo Chen
    http://arxiv.org/abs/2104.00488v1

    • [cs.LG]Convolutional Dynamic Alignment Networks for Interpretable Classifications
    Moritz Böhle, Mario Fritz, Bernt Schiele
    http://arxiv.org/abs/2104.00032v1

    • [cs.LG]DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation
    Faraz Torabi, Garrett Warnell, Peter Stone
    http://arxiv.org/abs/2104.00163v1

    • [cs.LG]Domain Invariant Adversarial Learning
    Matan Levi, Idan Attias, Aryeh Kontorovich
    http://arxiv.org/abs/2104.00322v1

    • [cs.LG]Fast Certified Robust Training via Better Initialization and Shorter Warmup
    Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
    http://arxiv.org/abs/2103.17268v2

    • [cs.LG]Fast Jacobian-Vector Product for Deep Networks
    Randall Balestriero, Richard Baraniuk
    http://arxiv.org/abs/2104.00219v1

    • [cs.LG]Federated Few-Shot Learning with Adversarial Learning
    Chenyou Fan, Jianwei Huang
    http://arxiv.org/abs/2104.00365v1

    • [cs.LG]Fitting Elephants
    Partha P Mitra
    http://arxiv.org/abs/2104.00526v1

    • [cs.LG]Gaussian Process Convolutional Dictionary Learning
    Andrew H. Song, Bahareh Tolooshams, Demba Ba
    http://arxiv.org/abs/2104.00530v1

    • [cs.LG]Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
    Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides
    http://arxiv.org/abs/2104.00676v1

    • [cs.LG]Latent Space Data Assimilation by using Deep Learning
    Mathis Peyron, Anthony Fillion, Selime Gürol, Victor Marchais, Serge Gratton, Pierre Boudier, Gael Goret
    http://arxiv.org/abs/2104.00430v1

    • [cs.LG]Learning Rates for Multi-task Regularization Networks
    Jie Gui, Haizhang Zhang
    http://arxiv.org/abs/2104.00453v1

    • [cs.LG]Learning with Neural Tangent Kernels in Near Input Sparsity Time
    Amir Zandieh
    http://arxiv.org/abs/2104.00415v1

    • [cs.LG]Model Selection’s Disparate Impact in Real-World Deep Learning Applications
    Jessica Zosa Forde, A. Feder Cooper, Kweku Kwegyir-Aggrey, Chris De Sa, Michael Littman
    http://arxiv.org/abs/2104.00606v1

    • [cs.LG]On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI
    Francesco Pase, Marco Giordani, Michele Zorzi
    http://arxiv.org/abs/2104.00331v1

    • [cs.LG]Optimization Algorithm for Feedback and Feedforward Policies towards Robot Control Robust to Sensing Failures
    Taisuke Kobayashi, Kenta Yoshizawa
    http://arxiv.org/abs/2104.00385v1

    • [cs.LG]Optimizer Fusion: Efficient Training with Better Locality and Parallelism
    Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu, David Z. Pan
    http://arxiv.org/abs/2104.00237v1

    • [cs.LG]PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
    Daniele Romanini, Adam James Hall, Pavlos Papadopoulos, Tom Titcombe, Abbas Ismail, Tudor Cebere, Robert Sandmann, Robin Roehm, Michael A. Hoeh
    http://arxiv.org/abs/2104.00489v1

    • [cs.LG]RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning
    Tong Wu, Jorge Ortiz
    http://arxiv.org/abs/2104.00543v1

    • [cs.LG]SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
    Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M Ashraful Amin, A K M Mahbubur Rahman
    http://arxiv.org/abs/2104.00055v1

    • [cs.LG]Smartphone Camera Oximetry in an Induced Hypoxemia Study
    Jason S. Hoffman, Varun Viswanath, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel, Edward Wang
    http://arxiv.org/abs/2104.00038v1

    • [cs.LG]Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix
    Tamer Ölmez, Zümray Dokur
    http://arxiv.org/abs/2104.00035v1

    • [cs.LG]Sub-GMN: The Subgraph Matching Network Model
    Zixun Lan, Limin Yu, Linglong Yuan, Zili Wu, Fei Ma
    http://arxiv.org/abs/2104.00186v1

    • [cs.LG]TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness
    Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Benjamin Rubinstein, Ce Zhang, Bo Li
    http://arxiv.org/abs/2104.00671v1

    • [cs.LG]The Compact Support Neural Network
    Adrian Barbu, Hongyu Mou
    http://arxiv.org/abs/2104.00269v1

    • [cs.LG]Touch-based Curiosity for Sparse-Reward Tasks
    Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vazquez, Aaron Courville, Pedro O. Pinheiro
    http://arxiv.org/abs/2104.00442v1

    • [cs.LG]Towards creativity characterization of generative models via group-based subset scanning
    Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen
    http://arxiv.org/abs/2104.00479v1

    • [cs.LG]Using Python for Model Inference in Deep Learning
    Zachary DeVito, Jason Ansel, Will Constable, Michael Suo, Ailing Zhang, Kim Hazelwood
    http://arxiv.org/abs/2104.00254v1

    • [cs.LG]Variational Inference MPC using Tsallis Divergence
    Ziyi Wang, Oswin So, Jason Gibson, Bogdan Vlahov, Manan S. Gandhi, Guan-Horng Liu, Evangelos A. Theodorou
    http://arxiv.org/abs/2104.00241v1

    • [cs.LG]Why is AI hard and Physics simple?
    Daniel A. Roberts
    http://arxiv.org/abs/2104.00008v1

    • [cs.NE]Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder
    Kenneth Stewart, Andreea Danielescu, Lazar Supic, Timothy Shea, Emre Neftci
    http://arxiv.org/abs/2104.00165v1

    • [cs.NI]Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
    Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
    http://arxiv.org/abs/2104.00352v1

    • [cs.NI]Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces
    Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Choong Seon Hong
    http://arxiv.org/abs/2104.00075v1

    • [cs.PF]Pinpointing the Memory Behaviors of DNN Training
    Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng
    http://arxiv.org/abs/2104.00258v1

    • [cs.RO]Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots
    Yu Xianjia, Li Qingqing, Jorge Pena Queralta, Jukka Heikkonen, Tomi Westerlund
    http://arxiv.org/abs/2104.00302v1

    • [cs.RO]Efficient Set-Based Approaches for the Reliable Computation of Robot Capabilities
    Joshua Pickard, Vincent Padois, Milan Hladík, David Daney
    http://arxiv.org/abs/2104.00279v1

    • [cs.RO]Force-and-moment-based Model Predictive Control for Achieving Highly Dynamic Locomotion on Bipedal Robots
    Junheng Li, Quan Nguyen
    http://arxiv.org/abs/2104.00065v1

    • [cs.RO]Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation
    Andrew Price, Kun Huang, Dmitry Berenson
    http://arxiv.org/abs/2104.00205v1

    • [cs.RO]Hierarchical Road Topology Learning for Urban Map-less Driving
    Li Zhang, Faezeh Tafazzoli, Gunther Krehl, Runsheng Xu, Timo Rehfeld, Manuel Schier, Arunava Seal
    http://arxiv.org/abs/2104.00084v1

    • [cs.RO]LazyDAgger: Reducing Context Switching in Interactive Imitation Learning
    Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen Novoseller, Ken Goldberg
    http://arxiv.org/abs/2104.00053v1

    • [cs.RO]Learning Human Objectives from Sequences of Physical Corrections
    Mengxi Li, Alper Canberk, Dylan P. Losey, Dorsa Sadigh
    http://arxiv.org/abs/2104.00078v1

    • [cs.RO]Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test
    Pengliang Ji, Li Ruan, Yunzhi Xue, Limin Xiao, Qian Dong
    http://arxiv.org/abs/2104.00273v1

    • [cs.RO]Planning for Safe Abortable Overtaking Maneuvers in Autonomous Driving
    Jiyo Palatti, Andrei Aksjonov, Gokhan Alcan, Ville Kyrki
    http://arxiv.org/abs/2104.00077v1

    • [cs.RO]Residual Model Learning for Microrobot Control
    Joshua Gruenstein, Tao Chen, Neel Doshi, Pulkit Agrawal
    http://arxiv.org/abs/2104.00631v1

    • [cs.RO]Sample-efficient Gear-ratio Optimization for Biomechanical Energy Harvester
    Taisuke Kobayashi, Yutaro Ikawa, Takamitsu Matsubara
    http://arxiv.org/abs/2104.00382v1

    • [cs.SD]Auto-KWS 2021 Challenge: Task, Datasets, and Baselines
    Jingsong Wang, Yuxuan He, Chunyu Zhao, Qijie Shao, Wei-Wei Tu, Tom Ko, Hung-yi Lee, Lei Xie
    http://arxiv.org/abs/2104.00513v1

    • [cs.SD]Enriched Music Representations with Multiple Cross-modal Contrastive Learning
    Andres Ferraro, Xavier Favory, Konstantinos Drossos, Yuntae Kim, Dmitry Bogdanov
    http://arxiv.org/abs/2104.00437v1

    • [cs.SD]OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection
    Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong
    http://arxiv.org/abs/2104.00528v1

    • [cs.SD]Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
    Adam Polyak, Yossi Adi, Jade Copet, Eugene Kharitonov, Kushal Lakhotia, Wei-Ning Hsu, Abdelrahman Mohamed, Emmanuel Dupoux
    http://arxiv.org/abs/2104.00355v1

    • [cs.SE]SkiffOS: Minimal Cross-compiled Linux for Embedded Containers
    Christian Stewart
    http://arxiv.org/abs/2104.00048v1

    • [cs.SI]Transfer Learning for Node Regression Applied to Spreading Prediction
    Sebastian Mežnar, Nada Lavrač, Blaž Škrlj
    http://arxiv.org/abs/2104.00088v1

    • [econ.EM]Forecasting open-high-low-close data contained in candlestick chart
    Huiwen Wang, Wenyang Huang, Shanshan Wang
    http://arxiv.org/abs/2104.00581v1

    • [econ.TH]Robust Experimentation in the Continuous Time Bandit Problem
    Farzad Pourbabaee
    http://arxiv.org/abs/2104.00102v1

    • [eess.AS]CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN
    Giorgio Barnabò, Giovanni Trappolini, Lorenzo Lastilla, Cesare Campagnano, Angela Fan, Fabio Petroni, Fabrizio Silvestri
    http://arxiv.org/abs/2104.00353v1

    • [eess.AS]Fast DCTTS: Efficient Deep Convolutional Text-to-Speech
    Minsu Kang, Jihyun Lee, Simin Kim, Injung Kim
    http://arxiv.org/abs/2104.00624v1

    • [eess.AS]Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone
    Naoyuki Kanda, Guoli Ye, Yu Wu, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Zhuo Chen, Takuya Yoshioka
    http://arxiv.org/abs/2103.16776v1

    • [eess.AS]Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition
    Timo Lohrenz, Zhengyang Li, Tim Fingscheidt
    http://arxiv.org/abs/2104.00120v1

    • [eess.AS]Pre-training for low resource speech-to-intent applications
    Pu Wang, Hugo Van hamme
    http://arxiv.org/abs/2103.16674v1

    • [eess.IV]Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis
    Nima Hatami, Mohsin Bilal, Nasir Rajpoot
    http://arxiv.org/abs/2104.00669v1

    • [eess.IV]Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
    Ashkan Khakzar, Yang Zhang, Wejdene Mansour, Yuezhi Cai, Yawei Li, Yucheng Zhang, Seong Tae Kim, Nassir Navab
    http://arxiv.org/abs/2104.00411v1

    • [eess.IV]High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation
    Jingfeng Lu, Shuo Wang, Ping Li, Dong Ye
    http://arxiv.org/abs/2104.00325v1

    • [eess.IV]Learning Deep Latent Subspaces for Image Denoising
    Yunhao Yang, Yuhan Zheng, Yi Wang, Chandrajit Bajaj
    http://arxiv.org/abs/2104.00253v1

    • [eess.IV]Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks
    Kajetan Grodecki, Aditya Killekar, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Judit Simon, Pal Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, Piotr J. Slomka
    http://arxiv.org/abs/2104.00138v1

    • [eess.IV]SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification
    Tanmay Chakraborty, Utkarsh Trehan
    http://arxiv.org/abs/2104.00341v1

    • [eess.IV]State-of-the-art segmentation network fooled to segment a heart symbol in chest X-Ray images
    Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
    http://arxiv.org/abs/2104.00139v1

    • [eess.SY]Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment
    Devansh Jalota, Kiril Solovey, Stephen Zoepf, Marco Pavone
    http://arxiv.org/abs/2104.00098v1

    • [eess.SY]Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A Balance System Case
    1000
    Study
    Ning Wang, Mohammed Abouheaf, Wail Gueaieb
    http://arxiv.org/abs/2104.00199v1

    • [eess.SY]Delay-Tolerant Consensus-based Distributed Estimation: Full-Rank Systems with Potentially Unstable Dynamics
    Mohammadreza Doostmohammadian, Usman A. Khan, Themistoklis Charalambous
    http://arxiv.org/abs/2104.00394v1

    • [eess.SY]Distributed support-vector-machine over dynamic balanced directed networks
    Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous, Usman A. Khan
    http://arxiv.org/abs/2104.00399v1

    • [eess.SY]Trajectory Tracking of Underactuated Sea Vessels With Uncertain Dynamics: An Integral Reinforcement Learning Approach
    Mohammed Abouheaf, Wail Gueaieb, Md. Suruz Miah, Davide Spinello
    http://arxiv.org/abs/2104.00190v1

    • [math.CO]A note on Barker sequences of even length
    Jürgen Willms
    http://arxiv.org/abs/2104.00502v1

    • [math.NA]A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions
    Arnulf Jentzen, Adrian Riekert
    http://arxiv.org/abs/2104.00277v1

    • [math.OC]Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method
    Akshay Agrawal, Stephen Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia
    http://arxiv.org/abs/2104.00282v1

    • [math.OC]Distributed Picard Iteration
    Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier
    http://arxiv.org/abs/2104.00131v1

    • [math.OC]Saddle Point Optimization with Approximate Minimization Oracle
    Youhei Akimoto
    http://arxiv.org/abs/2103.15985v2

    • [math.PR]Stochastic Modeling of an Infectious Disease, Part III-B: Analysis of the Time-Nonhomogeneous BDI Process and Simulation Experiments of both BD and BDI Processes
    Hisashi Kobayashi
    http://arxiv.org/abs/2104.00529v1

    • [math.ST]Effects of Causes and Causes of Effects
    A. Philip Dawid, Monica Musio
    http://arxiv.org/abs/2104.00119v1

    • [math.ST]Schrödinger encounters Fisher and Rao: a survey
    Léonard Monsaingeon, Dmitry Vorotnikov
    http://arxiv.org/abs/2104.00383v1

    • [physics.comp-ph]Physics-informed neural networks for the shallow-water equations on the sphere
    Alex Bihlo, Roman O. Popovych
    http://arxiv.org/abs/2104.00615v1

    • [stat.AP]Can the center lane really have advantages for swimmers?
    Miwa Shirai, Eiji Konaka
    http://arxiv.org/abs/2103.16820v2

    • [stat.AP]Exploiting offshore wind and solar resources in the Mediterranean using ERA5 reanalysis data
    Takvor H. Soukissian, Flora E. Karathanasi, Dimitrios K. Zaragkas
    http://arxiv.org/abs/2104.00571v1

    • [stat.AP]Identifying brain hierarchical structures associated with Alzheimer’s disease using a regularized regression method with tree predictors
    Yi Zhao, Bingkai Wang, Chin-Fu Liu, Andreia V. Faria, Michael I. Miller, Brian S. Caffo, Xi Luo
    http://arxiv.org/abs/2104.00454v1

    • [stat.AP]Repeated measurements with unintended feedback: The Dutch new herring scandals
    Richard D. Gill
    http://arxiv.org/abs/2104.00333v1

    • [stat.ME]Ancestral state reconstruction with large numbers of sequences and edge-length estimation
    Lam Si Tung Ho, Edward Susko
    http://arxiv.org/abs/2104.00151v1

    • [stat.ME]Bayesian Functional Principal Components Analysis via Variational Message Passing
    Tui H. Nolan, Jeff Goldsmith, David Ruppert
    http://arxiv.org/abs/2104.00645v1

    • [stat.ME]Cross-validation: what does it estimate and how well does it do it?
    Stephen Bates, Trevor Hastie, Robert Tibshirani
    http://arxiv.org/abs/2104.00673v1

    • [stat.ME]Edge-promoting adaptive Bayesian experimental design for X-ray imaging
    Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska
    http://arxiv.org/abs/2104.00301v1

    • [stat.ME]LinDA: Linear Models for Differential Abundance Analysis of Microbiome Compositional Data
    Huijuan Zhou, Xianyang Zhang, Kejun He, Jun Chen
    http://arxiv.org/abs/2104.00242v1

    • [stat.ME]Model-based fuzzy time series clustering of conditional higher moments
    Roy Cerqueti, Massimiliano Giacalone, Raffaele Mattera
    http://arxiv.org/abs/2104.00271v1

    • [stat.ME]On Computationally-Scalable Spatio-Temporal Regression Clustering of Precipitation Threshold Excesses
    Olga Kaiser, Dimitri Igdalov, Olivia Martius, Illia Horenko
    http://arxiv.org/abs/2103.16687v2

    • [stat.ME]Planning SMARTs: Sample size estimation for comparing dynamic treatment regimens using longitudinal count outcomes with excess zeros
    Jamie Yap, John Dziak, Raju Maiti, Kevin Lynch, James R. McKay, Bibhas Chakraborty, Inbal Nahum-Shani
    http://arxiv.org/abs/2104.00108v1

    • [stat.ME]RADIOHEAD: Radiogenomic Analysis Incorporating Tumor Heterogeneity in Imaging Through Densities
    Shariq Mohammed, Karthik Bharath, Sebastian Kurtek, Arvind Rao, Veerabhadran Baladandayuthapani
    http://arxiv.org/abs/2104.00510v1

    • [stat.ME]Scalable Statistical Inference of Photometric Redshift via Data Subsampling
    Arindam Fadikar, Stefan M. Wild, Jonas Chaves-Montero
    http://arxiv.org/abs/2103.16041v2

    • [stat.ME]Statistical significance revisited
    Maike Tormählen, Galiya Klinkova, Michael Grabinski
    http://arxiv.org/abs/2104.00262v1

    • [stat.ML]Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic
    Jonathan Larson, Tiona Zuzul, Emily Cox Pahnke, Neha Parikh Shah, Patrick Bourke, Nicholas Caurvina, Fereshteh Amini, Youngser Park, Joshua Vogelstein, Jeffrey Weston, Christopher White, Carey E. Priebe
    http://arxiv.org/abs/2104.00641v1

    • [stat.ML]High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees
    Zhe Zhang, Linjun Zhang
    http://arxiv.org/abs/2104.00245v1

    • [stat.ML]Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic Data
    Michael Platzer, Thomas Reutterer
    http://arxiv.org/abs/2104.00635v1

    • [stat.ML]Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators
    Vitor Cerqueira, Luis Torgo, Carlos Soares
    http://arxiv.org/abs/2104.00584v1

    • [stat.ML]NeRF-VAE: A Geometry Aware 3D Scene Generative Model
    Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Soňa Mokrá, Danilo J. Rezende
    http://arxiv.org/abs/2104.00587v1

    • [stat.ML]Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
    Florian Pargent, Florian Pfisterer, Janek Thomas, Bernd Bischl
    http://arxiv.org/abs/2104.00629v1

    • [stat.ML]Storchastic: A Framework for General Stochastic Automatic Differentiation
    Emile van Krieken, Jakub M. Tomczak, Annette ten Teije
    http://arxiv.org/abs/2104.00428v1

    • [stat.ML]fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation
    Jakub Wiśniewski, Przemysław Biecek
    http://arxiv.org/abs/2104.00507v1