astro-ph.IM - 仪器仪表和天体物理学方法

    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.DL - 数字图书馆 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.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.DS - 动力系统 math.NA - 数值分析 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Generalized Approach to Matched Filtering using Neural Networks
    • [cs.AI]BR-NS: an Archive-less Approach to Novelty Search
    • [cs.AI]Bootstrapping of memetic from genetic evolution via inter-agent selection pressures
    • [cs.AI]Enabling Integration and Interaction for Decentralized Artificial Intelligence in Airline Disruption Management
    • [cs.AI]On Mixed Iterated Revisions
    • [cs.AI]Voluntary safety commitments provide an escape from over-regulation in AI development
    • [cs.AR]Enabling Cross-Domain Communication: How to Bridge the Gap between AI and HW Engineers
    • [cs.CL]A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders
    • [cs.CL]BSTC: A Large-Scale Chinese-English Speech Translation Dataset
    • [cs.CL]COVID-19 Named Entity Recognition for Vietnamese
    • [cs.CL]Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems
    • [cs.CL]EXPATS: A Toolkit for Explainable Automated Text Scoring
    • [cs.CL]Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation
    • [cs.CL]Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification
    • [cs.CL]Extended Parallel Corpus for Amharic-English Machine Translation
    • [cs.CL]GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns
    • [cs.CL]How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection
    • [cs.CL]HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks
    • [cs.CL]Interpreting Verbal Metaphors by Paraphrasing
    • [cs.CL]Languages for Smart and Computable Contracts
    • [cs.CL]Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic
    • [cs.CL]Low-Complexity Probing via Finding Subnetworks
    • [cs.CL]Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives
    • [cs.CL]Nutribullets Hybrid: Multi-document Health Summarization
    • [cs.CL]On Biasing Transformer Attention Towards Monotonicity
    • [cs.CL]Probing BERT in Hyperbolic Spaces
    • [cs.CL]RNN Transducer Models For Spoken Language Understanding
    • [cs.CL]Revisiting Simple Neural Probabilistic Language Models
    • [cs.CL]Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization
    • [cs.CL]Statistically significant detection of semantic shifts using contextual word embeddings
    • [cs.CL]Talk, Don’t Write: A Study of Direct Speech-Based Image Retrieval
    • [cs.CL]Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation
    • [cs.CL]User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization
    • [cs.CL]Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion
    • [cs.CR]An Object Detection based Solver for Google’s Image reCAPTCHA v2
    • [cs.CR]Permutation Encoding for Text Steganography: A Short Tutorial
    • [cs.CV]1st Place Solution to ICDAR 2021 RRC-ICTEXT End-to-end Text Spotting and Aesthetic Assessment on Integrated Circuit
    • [cs.CV]3D Shape Generation and Completion through Point-Voxel Diffusion
    • [cs.CV]3D Surfel Map-Aided Visual Relocalization with Learned Descriptors
    • [cs.CV]A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control
    • [cs.CV]ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling
    • [cs.CV]Affine-modeled video extraction from a single motion blurred image
    • [cs.CV]An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks
    • [cs.CV]Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning
    • [cs.CV]CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
    • [cs.CV]CoCoNets: Continuous Contrastive 3D Scene Representations
    • [cs.CV]Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations
    • [cs.CV]Contour Proposal Networks for Biomedical Instance Segmentation
    • [cs.CV]Convolutional Neural Network Pruning with Structural Redundancy Reduction
    • [cs.CV]DG-Font: Deformable Generative Networks for Unsupervised Font Generation
    • [cs.CV]DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency
    • [cs.CV]De-rendering the World’s Revolutionary Artefacts
    • [cs.CV]Deep Features for training Support Vector Machine
    • [cs.CV]Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting
    • [cs.CV]DeepI2P: Image-to-Point Cloud Registration via Deep Classification
    • [cs.CV]Does Your Dermatology Classifier Know What It Doesn’t Know? Detecting the Long-Tail of Unseen Conditions
    • [cs.CV]Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance
    • [cs.CV]FatNet: A Feature-attentive Network for 3D Point Cloud Processing
    • [cs.CV]Few-Shot Action Recognition with Compromised Metric via Optimal Transport
    • [cs.CV]Field Convolutions for Surface CNNs
    • [cs.CV]Geometry-based Distance Decomposition for Monocular 3D Object Detection
    • [cs.CV]Handwriting Transformers
    • [cs.CV]HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies
    • [cs.CV]How Transferable are Reasoning Patterns in VQA?
    • [cs.CV]InAugment: Improving Classifiers via Internal Augmentation
    • [cs.CV]InfinityGAN: Towards Infinite-Resolution Image Synthesis
    • [cs.CV]Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes
    • [cs.CV]Learning optical flow from still images
    • [cs.CV]Learning specialized activation functions with the Piecewise Linear Unit
    • [cs.CV]Modeling Object Dissimilarity for Deep Saliency Prediction
    • [cs.CV]Modulated Periodic Activations for Generalizable Local Functional Representations
    • [cs.CV]Monitoring Social-distance in Wide Areas during Pandemics: a Density Map and Segmentation Approach
    • [cs.CV]Multimodal Fusion Refiner Networks
    • [cs.CV]Multiple Object Tracking with Correlation Learning
    • [cs.CV]ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
    • [cs.CV]OVANet: One-vs-All Network for Universal Domain Adaptation
    • [cs.CV]On Self-Contact and Human Pose
    • [cs.CV]Open Domain Generalization with Domain-Augmented Meta-Learning
    • [cs.CV]PDO-e今日学术视野(2021.4.10) - 图1CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
    • [cs.CV]PQA: Perceptual Question Answering
    • [cs.CV]Panoptic Segmentation Forecasting
    • [cs.CV]PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks
    • [cs.CV]Progressive Semantic Segmentation
    • [cs.CV]Progressive Temporal Feature Alignment Network for Video Inpainting
    • [cs.CV]Prototypical Region Proposal Networks for Few-Shot Localization and Classification
    • [cs.CV]Pseudo-supervised Deep Subspace Clustering
    • [cs.CV]Py-Feat: Python Facial Expression Analysis Toolbox
    • [cs.CV]Reconstructing Recognizable 3D Face Shapes based on 3D Morphable Models
    • [cs.CV]Riggable 3D Face Reconstruction via In-Network Optimization
    • [cs.CV]Robust Differentiable SVD
    • [cs.CV]Robust Self-Ensembling Network for Hyperspectral Image Classification
    • [cs.CV]SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
    • [cs.CV]SMD-Nets: Stereo Mixture Density Networks
    • [cs.CV]SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes
    • [cs.CV]SOLD2: Self-supervised Occlusion-aware Line Description and Detection
    • [cs.CV]Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
    • [cs.CV]Semantic Scene Completion via Integrating Instances and Scene in-the-Loop
    • [cs.CV]SiT: Self-supervised vIsion Transformer
    • [cs.CV]Siam-ReID: Confuser Aware Siamese Tracker with Re-identification Feature
    • [cs.CV]The Single-Noun Prior for Image Clustering
    • [cs.CV]TokenPose: Learning Keypoint Tokens for Human Pose Estimation
    • [cs.CV]Towards End-to-End Neural Face Authentication in the Wild - Quantifying and Compensating for Directional Lighting Effects
    • [cs.CV]Towards On-Device Face Recognition in Body-worn Cameras
    • [cs.CV]Track, Check, Repeat: An EM Approach to Unsupervised Tracking
    • [cs.CV]Video Question Answering with Phrases via Semantic Roles
    • [cs.CV]Warp Consistency for Unsupervised Learning of Dense Correspondences
    • [cs.CY]Classification, Slippage, Failure and Discovery
    • [cs.CY]Digital Epidemiology: A review
    • [cs.CY]E-Commerce in Turkey and SAP Integrated E-Commerce System
    • [cs.CY]On Telecommunication Service Imbalance and Infrastructure Resource Deployment
    • [cs.DB]Correlation Sketches for Approximate Join-Correlation Queries
    • [cs.DB]Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases
    • [cs.DB]QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search
    • [cs.DC]Exploring Task Placement for Edge-to-Cloud Applications using Emulation
    • [cs.DC]Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum
    • [cs.DC]Practical Byzantine Reliable Broadcast on Partially Connected Networks
    • [cs.DC]Security, Performance and Energy Implications of Hardware-assisted Memory Protection Mechanisms on Event-based Streaming Systems
    • [cs.DL]Evaluating the state-of-the-art in mapping research spaces: a Brazilian case study
    • [cs.GT]Computation and Bribery of Voting Power in Delegative Simple Games
    • [cs.HC]A Conceptual Framework for Implicit Evaluation of Conversational Search Interfaces
    • [cs.HC]Question-Driven Design Process for Explainable AI User Experiences
    • [cs.IT]An Information-Theoretic Proof of a Finite de Finetti Theorem
    • [cs.IT]Distributed Resource Management in Downlink Cache-enabled Multi-cloud Radio Access Networks
    • [cs.IT]IRS Meets Relaying: Joint Resource Allocation and Passive Beamforming Optimization
    • [cs.IT]Massive Access in Media Modulation Based Massive Machine-Type Communications
    • [cs.IT]NOMA-Based Hybrid Satellite-UAV-Terrestrial Networks for Beyond 5G Maritime Internet of Things
    • [cs.IT]One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach
    • [cs.IT]Optimal Resource Allocation Design for Large IRS-Assisted SWIPT Systems: A Scalable Optimization Framework
    • [cs.IT]Optimal Resource Allocation for Full-Duplex IoT Systems Underlaying Cellular Networks with Mutual SIC NOMA
    • [cs.IT]Securing NOMA Networks by Exploiting Intelligent Reflecting Surface
    • [cs.IT]Weight Distributions of Two Classes of Linear Codes with Five or Six Weights
    • [cs.LG]A Reinforcement Learning Environment For Job-Shop Scheduling
    • [cs.LG]A single gradient step finds adversarial examples on random two-layers neural networks
    • [cs.LG]Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
    • [cs.LG]Bayesian Variational Federated Learning and Unlearning in Decentralized Networks
    • [cs.LG]CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data
    • [cs.LG]DeepProg: A Transformer-based Framework for Predicting Disease Prognosis
    • [cs.LG]Exact Stochastic Second Order Deep Learning
    • [cs.LG]Explainability-based Backdoor Attacks Against Graph Neural Networks
    • [cs.LG]GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference
    • [cs.LG]Generating multi-type sequences of temporal events to improve fraud detection in game advertising
    • [cs.LG]Gi and Pal Scores: Deep Neural Network Generalization Statistics
    • [cs.LG]Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning
    • [cs.LG]Incentivizing Exploration in Linear Bandits under Information Gap
    • [cs.LG]Joint Optimization of Communications and Federated Learning Over the Air
    • [cs.LG]Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
    • [cs.LG]Learning What To Do by Simulating the Past
    • [cs.LG]Leveraging Good Representations in Linear Contextual Bandits
    • [cs.LG]Neural Temporal Point Processes: A Review
    • [cs.LG]OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks
    • [cs.LG]On tuning consistent annealed sampling for denoising score matching
    • [cs.LG]Post-Hoc Domain Adaptation via Guided Data Homogenization
    • [cs.LG]Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape
    • [cs.LG]Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations
    • [cs.LG]Rethinking the Backdoor Attacks’ Triggers: A Frequency Perspective
    • [cs.LG]Semi-supervised on-device neural network adaptation for remote and portable laser-induced breakdown spectroscopy
    • [cs.LG]Support-Target Protocol for Meta-Learning
    • [cs.LG]Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure
    • [cs.LG]Uncertainty-aware Remaining Useful Life predictor
    • [cs.LG]Universal Spectral Adversarial Attacks for Deformable Shapes
    • [cs.NE]Heuristic Strategies for Solving Complex Interacting Large-Scale Stockpile Blending Problems
    • [cs.NE]Lower Bounds from Fitness Levels Made Easy
    • [cs.PL]A Proposal for an Interactive Shell Based on a Typed Lambda Calculus
    • [cs.RO]A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics
    • [cs.RO]A Scalable Distributed Collision Avoidance Scheme for Multi-agent UAV systems
    • [cs.RO]An Equivariant Filter for Visual Inertial Odometry
    • [cs.RO]CineMPC: Controlling Camera Intrinsics and Extrinsics for Autonomous Cinematography
    • [cs.RO]Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators
    • [cs.RO]Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data
    • [cs.RO]Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning
    • [cs.RO]Exploration-RRT: A multi-objective Path Planning and Exploration Framework for Unknown and Unstructured Environments
    • [cs.RO]Multi-Objective Optimization of a Path-following MPC for Vehicle Guidance: A Bayesian Optimization Approach
    • [cs.RO]Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control
    • [cs.RO]Seeing Thru Walls: Visualizing Mobile Robots in Augmented Reality
    • [cs.RO]Spatial Imagination With Semantic Cognition for Mobile Robots
    • [cs.RO]Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems
    • [cs.SD]Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings
    • [cs.SD]Half-Truth: A Partially Fake Audio Detection Dataset
    • [cs.SD]MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement
    • [cs.SD]SerumRNN: Step by Step Audio VST Effect Programming
    • [cs.SD]Speech Denoising without Clean Training Data: a Noise2Noise Approach
    • [cs.SD]Towards Multi-Scale Style Control for Expressive Speech Synthesis
    • [cs.SD]WNARS: WFST based Non-autoregressive Streaming End-to-End Speech Recognition
    • [cs.SE]Automated User Experience Testing through Multi-Dimensional Performance Impact Analysis
    • [cs.SI]Centrality-Weighted Opinion Dynamics: Disagreement and Social Network Partition
    • [cs.SI]MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations
    • [cs.SI]Media Cloud: Massive Open Source Collection of Global News on the Open Web
    • [cs.SI]PATHATTACK: Attacking Shortest Paths in Complex Networks
    • [cs.SI]The educational process organization in the distance learning model: problems and features
    • [econ.EM]Predicting Inflation with Neural Networks
    • [econ.EM]The Proper Use of Google Trends in Forecasting Models
    • [eess.AS]Pushing the Limits of Non-Autoregressive Speech Recognition
    • [eess.IV]A transfer-learning approach for lesion detection in endoscopic images from the urinary tract
    • [eess.IV]Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy
    • [eess.IV]Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images
    • [eess.IV]BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation
    • [eess.IV]M-Net with Bidirectional ConvLSTM for Cup and Disc Segmentation in Fundus Images
    • [eess.IV]MRI-based Alzheimer’s disease prediction via distilling the knowledge in multi-modal data
    • [eess.IV]Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes
    • [eess.IV]Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond
    • [eess.SY]Leaderless collective motions in affine formation control
    • [math.DS]Efficient time stepping for numerical integration using reinforcement learning
    • [math.NA]Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods
    • [math.PR]Degree distributions in AB random geometric graphs
    • [math.PR]Large Deviations and Information theory for Sub-Critical SINR Randon Network Models
    • [math.ST]A new stochastic order based on discrete Laplace transform and some ordering results of the order statistics
    • [math.ST]Equivariant Estimation of Fréchet Means
    • [math.ST]Fixed-Domain Inference for Gausian Processes with Matérn Covariogram on Compact Riemannian Manifolds
    • [math.ST]Spectral statistics of high dimensional sample covariance matrix with unbounded population spectral norm
    • [math.ST]Synthetic Likelihood in Misspecified Models: Consequences and Corrections
    • [physics.soc-ph]Complex network prediction using deep learning
    • [q-bio.PE]Evolutionary rates of information gain and decay in fluctuating environments
    • [quant-ph]Quantum Enhanced Filter: QFilter
    • [quant-ph]Single-Qubit Fidelity Assessment of Quantum Annealing Hardware
    • [stat.AP]A MCMC-type simple probabilistic approach for determining optimal progressive censoring schemes
    • [stat.AP]Embeddings and Attention in Predictive Modeling
    • [stat.AP]Reflection on modern methods: competing risks versus multi-state models
    • [stat.AP]Sugar and Stops in Drivers with Insulin-Dependent Type 1 Diabetes
    • [stat.ME]A New Perspective on Debiasing Linear Regressions
    • [stat.ME]A bivariate likelihood approach for estimation of a pooled continuous effect size from a heteroscedastic meta-analysis study
    • [stat.ME]Adaptive treatment allocation and selection in multi-arm clinical trials: a Bayesian perspective
    • [stat.ME]Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC
    • [stat.ME]Average Treatment Effects in the Presence of Interference
    • [stat.ME]Dynamic Weights in Gaussian Mixture Models: A Bayesian Approach
    • [stat.ME]Functional L-Optimality Subsampling for Massive Data
    • [stat.ME]Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators
    • [stat.ML]Archetypal Analysis for Sparse Nonnegative Matrix Factorization: Robustness Under Misspecification

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

    • [astro-ph.IM]Generalized Approach to Matched Filtering using Neural Networks
    Jingkai Yan, Mariam Avagyan, Robert E. Colgan, Doğa Veske, Imre Bartos, John Wright, Zsuzsa Márka, Szabolcs Márka
    http://arxiv.org/abs/2104.03961v1

    • [cs.AI]BR-NS: an Archive-less Approach to Novelty Search
    Achkan Salehi, Alexandre Coninx, Stephane Doncieux
    http://arxiv.org/abs/2104.03936v1

    • [cs.AI]Bootstrapping of memetic from genetic evolution via inter-agent selection pressures
    Nicholas Guttenberg, Marek Rosa
    http://arxiv.org/abs/2104.03404v1

    • [cs.AI]Enabling Integration and Interaction for Decentralized Artificial Intelligence in Airline Disruption Management
    Kolawole Ogunsina, Daniel DeLaurentis
    http://arxiv.org/abs/2104.03349v1

    • [cs.AI]On Mixed Iterated Revisions
    Paolo Liberatore
    http://arxiv.org/abs/2104.03571v1

    • [cs.AI]Voluntary safety commitments provide an escape from over-regulation in AI development
    The Anh Han, Tom Lenaerts, Francisco C. Santos, Luis Moniz Pereira
    http://arxiv.org/abs/2104.03741v1

    • [cs.AR]Enabling Cross-Domain Communication: How to Bridge the Gap between AI and HW Engineers
    Michael J. Klaiber, Axel J. Acosta, Ingo Feldner, Falk Rehm
    http://arxiv.org/abs/2104.03780v1

    • [cs.CL]A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders
    Maarten De Raedt, Fréderic Godin, Pieter Buteneers, Chris Develder, Thomas Demeester
    http://arxiv.org/abs/2104.03630v1

    • [cs.CL]BSTC: A Large-Scale Chinese-English Speech Translation Dataset
    Ruiqing Zhang, Xiyang Wang, Chuanqiang Zhang, Zhongjun HeHua Wu, Zhi Li, Haifeng Wang, Ying Chen, Qinfei Li
    http://arxiv.org/abs/2104.03575v1

    • [cs.CL]COVID-19 Named Entity Recognition for Vietnamese
    Thinh Hung Truong, Mai Hoang Dao, Dat Quoc Nguyen
    http://arxiv.org/abs/2104.03879v1

    • [cs.CL]Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems
    Juan Zuluaga-Gomez, Iuliia Nigmatulina, Amrutha Prasad, Petr Motlicek, Karel Veselý, Martin Kocour, Igor Szöke
    http://arxiv.org/abs/2104.03643v1

    • [cs.CL]EXPATS: A Toolkit for Explainable Automated Text Scoring
    Hitoshi Manabe, Masato Hagiwara
    http://arxiv.org/abs/2104.03364v1

    • [cs.CL]Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation
    Fengpeng Yue, Yan Deng, Lei He, Tom Ko
    http://arxiv.org/abs/2104.03815v1

    • [cs.CL]Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification
    Wilson Fearn, Orion Weller, Kevin Seppi
    http://arxiv.org/abs/2104.03848v1

    • [cs.CL]Extended Parallel Corpus for Amharic-English Machine Translation
    Andargachew Mekonnen Gezmu, Andreas Nürnberger, Tesfaye Bayu Bati
    http://arxiv.org/abs/2104.03543v1

    • [cs.CL]GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns
    Piyawat Lertvittayakumjorn, Leshem Choshen, Eyal Shnarch, Francesca Toni
    http://arxiv.org/abs/2104.03958v1

    • [cs.CL]How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection
    Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova
    http://arxiv.org/abs/2104.03928v1

    • [cs.CL]HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks
    Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli
    http://arxiv.org/abs/2104.03090v2

    • [cs.CL]Interpreting Verbal Metaphors by Paraphrasing
    Rui Mao, Chenghua Lin, Frank Guerin
    http://arxiv.org/abs/2104.03391v1

    • [cs.CL]Languages for Smart and Computable Contracts
    Christopher D. Clack
    http://arxiv.org/abs/2104.03764v1

    • [cs.CL]Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic
    Yakoob Khan, Weicheng Ma, Soroush Vosoughi
    http://arxiv.org/abs/2104.03506v1

    • [cs.CL]Low-Complexity Probing via Finding Subnetworks
    Steven Cao, Victor Sanh, Alexander M. Rush
    http://arxiv.org/abs/2104.03514v1

    • [cs.CL]Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives
    Thanh-Dung Le, Rita Noumeir, Jerome Rambaud, Guillaume Sans, Philippe Jouvet
    http://arxiv.org/abs/2104.03934v1

    • [cs.CL]Nutribullets Hybrid: Multi-document Health Summarization
    Darsh J Shah, Lili Yu, Tao Lei, Regina Barzilay
    http://arxiv.org/abs/2104.03465v1

    • [cs.CL]On Biasing Transformer Attention Towards Monotonicity
    Annette Rios, Chantal Amrhein, Noëmi Aepli, Rico Sennrich
    http://arxiv.org/abs/2104.03945v1

    • [cs.CL]Probing BERT in Hyperbolic Spaces
    Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing
    http://arxiv.org/abs/2104.03869v1

    • [cs.CL]RNN Transducer Models For Spoken Language Understanding
    Samuel Thomas, Hong-Kwang J. Kuo, George Saon, Zoltán Tüske, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory
    http://arxiv.org/abs/2104.03842v1

    • [cs.CL]Revisiting Simple Neural Probabilistic Language Models
    Simeng Sun, Mohit Iyyer
    http://arxiv.org/abs/2104.03474v1

    • [cs.CL]Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization
    Rezvaneh Rezapour, Sravana Reddy, Ann Clifton, Rosie Jones
    http://arxiv.org/abs/2104.03343v1

    • [cs.CL]Statistically significant detection of semantic shifts using contextual word embeddings
    Yang Liu, Alan Medlar, Dorota Glowacka
    http://arxiv.org/abs/2104.03776v1

    • [cs.CL]Talk, Don’t Write: A Study of Direct Speech-Based Image Retrieval
    Ramon Sanabria, Austin Waters, Jason Baldridge
    http://arxiv.org/abs/2104.01894v2

    • [cs.CL]Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation
    Huiling You, Xingran Zhu, Sara Stymne
    http://arxiv.org/abs/2104.03767v1

    • [cs.CL]User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization
    Shohei Higashiyama, Masao Utiyama, Taro Watanabe, Eiichiro Sumita
    http://arxiv.org/abs/2104.03523v1

    • [cs.CL]Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion
    Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han
    http://arxiv.org/abs/2104.03682v1

    • [cs.CR]An Object Detection based Solver for Google’s Image reCAPTCHA v2
    Md Imran Hossen, Yazhou Tu, Md Fazle Rabby, Md Nazmul Islam, Hui Cao, Xiali Hei
    http://arxiv.org/abs/2104.03366v1

    • [cs.CR]Permutation Encoding for Text Steganography: A Short Tutorial
    George D. Montanez
    http://arxiv.org/abs/2104.03881v1

    • [cs.CV]1st Place Solution to ICDAR 2021 RRC-ICTEXT End-to-end Text Spotting and Aesthetic Assessment on Integrated Circuit
    Qiyao Wang, Pengfei Li, Li Zhu, Yi Niu
    http://arxiv.org/abs/2104.03544v1

    • [cs.CV]3D Shape Generation and Completion through Point-Voxel Diffusion
    Linqi Zhou, Yilun Du, Jiajun Wu
    http://arxiv.org/abs/2104.03670v1

    • [cs.CV]3D Surfel Map-Aided Visual Relocalization with Learned Descriptors
    Haoyang Ye, Huaiyang Huang, Marco Hutter, Timothy Sandy, Ming Liu
    http://arxiv.org/abs/2104.03856v1

    • [cs.CV]A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control
    Zahra Gharaee, Karl Holmquist, Linbo He, Michael Felsberg
    http://arxiv.org/abs/2104.03807v1

    • [cs.CV]ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling
    Kunming Luo, Ao Luo, Chuan Wang, Haoqiang Fan, Shuaicheng Liu
    http://arxiv.org/abs/2104.03560v1

    • [cs.CV]Affine-modeled video extraction from a single motion blurred image
    Daoyu Li, Liheng Bian, Jun Zhang
    http://arxiv.org/abs/2104.03777v1

    • [cs.CV]An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks
    Makoto Takamoto, Yusuke Morishita
    http://arxiv.org/abs/2104.03535v1

    • [cs.CV]Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning
    Soheyla Amirian, Khaled Rasheed, Thiab R. Taha, Hamid R. Arabnia
    http://arxiv.org/abs/2104.03337v1

    • [cs.CV]CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
    Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas
    http://arxiv.org/abs/2104.03437v1

    • [cs.CV]CoCoNets: Continuous Contrastive 3D Scene Representations
    Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki
    http://arxiv.org/abs/2104.03851v1

    • [cs.CV]Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations
    Guanghao Yin, Wei Wang, Zehuan Yuan, Shouqian Sun, Changhu Wang
    http://arxiv.org/abs/2104.03926v1

    • [cs.CV]Contour Proposal Networks for Biomedical Instance Segmentation
    Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
    http://arxiv.org/abs/2104.03393v1

    • [cs.CV]Convolutional Neural Network Pruning with Structural Redundancy Reduction
    Zi Wang, Chengcheng Li, Xiangyang Wang
    http://arxiv.org/abs/2104.03438v1

    • [cs.CV]DG-Font: Deformable Generative Networks for Unsupervised Font Generation
    Yangchen Xie, Xinyuan Chen, Li Sun, Yue Lu
    http://arxiv.org/abs/2104.03064v2

    • [cs.CV]DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency
    Zongxin Yang, Xin Yu, Yi Yang
    http://arxiv.org/abs/2104.03658v1

    • [cs.CV]De-rendering the World’s Revolutionary Artefacts
    Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
    http://arxiv.org/abs/2104.03954v1

    • [cs.CV]Deep Features for training Support Vector Machine
    Loris Nanni, Stefano Ghidoni, Sheryl Brahnam
    http://arxiv.org/abs/2104.03488v1

    • [cs.CV]Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting
    Changgong Zhang, Fangneng Zhan, Yuan Chang
    http://arxiv.org/abs/2104.03520v1

    • [cs.CV]DeepI2P: Image-to-Point Cloud Registration via Deep Classification
    Jiaxin Li, Gim Hee Lee
    http://arxiv.org/abs/2104.03501v1

    • [cs.CV]Does Your Dermatology Classifier Know What It Doesn’t Know? Detecting the Long-Tail of Unseen Conditions
    Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zach Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Greg S. Corrado, Umesh Telang, Yun Liu, Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens
    http://arxiv.org/abs/2104.03829v1

    • [cs.CV]Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance
    Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme
    http://arxiv.org/abs/2104.03888v1

    • [cs.CV]FatNet: A Feature-attentive Network for 3D Point Cloud Processing
    Chaitanya Kaul, Nick Pears, Suresh Manandhar
    http://arxiv.org/abs/2104.03427v1

    • [cs.CV]Few-Shot Action Recognition with Compromised Metric via Optimal Transport
    Su Lu, De-Chuan Zhan
    http://arxiv.org/abs/2104.03737v1

    • [cs.CV]Field Convolutions for Surface CNNs
    Thomas W. Mitchel, Vladimir G. Kim, Michael Kazhdan
    http://arxiv.org/abs/2104.03916v1

    • [cs.CV]Geometry-based Distance Decomposition for Monocular 3D Object Detection
    Xuepeng Shi, Qi Ye, Xiaozhi Chen, Chuangrong Chen, Zhixiang Chen, Tae-Kyun Kim
    http://arxiv.org/abs/2104.03775v1

    • [cs.CV]Handwriting Transformers
    Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah
    http://arxiv.org/abs/2104.03964v1

    • [cs.CV]HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies
    Muhammad AbdurRafae
    http://arxiv.org/abs/2104.03722v1

    • [cs.CV]How Transferable are Reasoning Patterns in VQA?
    Corentin Kervadec, Theo Jaunet, Grigory Antipov, Moez Baccouche, Romain Vuillemot, Christian Wolf
    http://arxiv.org/abs/2104.03656v1

    • [cs.CV]InAugment: Improving Classifiers via Internal Augmentation
    Moab Arar, Ariel Shamir, Amit Bermano
    http://arxiv.org/abs/2104.03843v1

    • [cs.CV]InfinityGAN: Towards Infinite-Resolution Image Synthesis
    Chieh Hubert Lin, Hsin-Ying Lee, Yen-Chi Cheng, Sergey Tulyakov, Ming-Hsuan Yang
    http://arxiv.org/abs/2104.03963v1

    • [cs.CV]Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes
    Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
    http://arxiv.org/abs/2104.03956v1

    • [cs.CV]Learning optical flow from still images
    Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
    http://arxiv.org/abs/2104.03965v1

    • [cs.CV]Learning specialized activation functions with the Piecewise Linear Unit
    Yucong Zhou, Zezhou Zhu, Zhao Zhong
    http://arxiv.org/abs/2104.03693v1

    • [cs.CV]Modeling Object Dissimilarity for Deep Saliency Prediction
    Bahar Aydemir, Deblina Bhattacharjee, Seungryong Kim, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
    http://arxiv.org/abs/2104.03864v1

    • [cs.CV]Modulated Periodic Activations for Generalizable Local Functional Representations
    Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker
    http://arxiv.org/abs/2104.03960v1

    • [cs.CV]Monitoring Social-distance in Wide Areas during Pandemics: a Density Map and Segmentation Approach
    Javier A. González-Trejo, Diego A. Mercado-Ravell
    http://arxiv.org/abs/2104.03361v1

    • [cs.CV]Multimodal Fusion Refiner Networks
    Sethuraman Sankaran, David Yang, Ser-Nam Lim
    http://arxiv.org/abs/2104.03435v1

    • [cs.CV]Multiple Object Tracking with Correlation Learning
    Qiang Wang, Yun Zheng, Pan Pan, Yinghui Xu
    http://arxiv.org/abs/2104.03541v1

    • [cs.CV]ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
    Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
    http://arxiv.org/abs/2104.03841v1

    • [cs.CV]OVANet: One-vs-All Network for Universal Domain Adaptation
    Kuniaki Saito, Kate Saenko
    http://arxiv.org/abs/2104.03344v1

    • [cs.CV]On Self-Contact and Human Pose
    Lea Müller, Ahmed A. A. Osman, Siyu Tang, Chun-Hao P. Huang, Michael J. Black
    http://arxiv.org/abs/2104.03176v2

    • [cs.CV]Open Domain Generalization with Domain-Augmented Meta-Learning
    Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long
    http://arxiv.org/abs/2104.03620v1

    • [cs.CV]PDO-e今日学术视野(2021.4.10) - 图2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
    Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma
    http://arxiv.org/abs/2104.03584v1

    • [cs.CV]PQA: Perceptual Question Answering
    Yonggang Qi, Kai Zhang, Aneeshan Sain, Yi-Zhe Song
    http://arxiv.org/abs/2104.03589v1

    • [cs.CV]Panoptic Segmentation Forecasting
    Colin Graber, Grace Tsai, Michael Firman, Gabriel Brostow, Alexander Schwing
    http://arxiv.org/abs/2104.03962v1

    • [cs.CV]PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks
    Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
    http://arxiv.org/abs/2104.03414v1

    • [cs.CV]Progressive Semantic Segmentation
    Chuong Huynh, Anh Tran, Khoa Luu, Minh Hoai
    http://arxiv.org/abs/2104.03778v1

    • [cs.CV]Progressive Temporal Feature Alignment Network for Video Inpainting
    Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee
    http://arxiv.org/abs/2104.03507v1

    • [cs.CV]Prototypical Region Proposal Networks for Few-Shot Localization and Classification
    Elliott Skomski, Aaron Tuor, Andrew Avila, Lauren Phillips, Zachary New, Henry Kvinge, Courtney D. Corley, Nathan Hodas
    http://arxiv.org/abs/2104.03496v1

    • [cs.CV]Pseudo-supervised Deep Subspace Clustering
    Juncheng Lv, Zhao Kang, Xiao Lu, Zenglin Xu
    http://arxiv.org/abs/2104.03531v1

    • [cs.CV]Py-Feat: Python Facial Expression Analysis Toolbox
    Jin Hyun Cheong, Tiankang Xie, Sophie Byrne, Luke J. Chang
    http://arxiv.org/abs/2104.03509v1

    • [cs.CV]Reconstructing Recognizable 3D Face Shapes based on 3D Morphable Models
    Diqiong Jiang, Yiwei Jin, Risheng Deng, Ruofeng Tong, Fanglue Zhang, Yukun Yai, Ming Tang
    http://arxiv.org/abs/2104.03515v1

    • [cs.CV]Riggable 3D Face Reconstruction via In-Network Optimization
    Ziqian Bai, Zhaopeng Cui, Xiaoming Liu, Ping Tan
    http://arxiv.org/abs/2104.03493v1

    • [cs.CV]Robust Differentiable SVD
    Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
    http://arxiv.org/abs/2104.03821v1

    • [cs.CV]Robust Self-Ensembling Network for Hyperspectral Image Classification
    Yonghao Xu, Bo Du, Liangpei Zhang
    http://arxiv.org/abs/2104.03765v1

    • [cs.CV]SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
    Shunsuke Saito, Jinlong Yang, Qianli Ma, Michael J. Black
    http://arxiv.org/abs/2104.03313v2

    • [cs.CV]SMD-Nets: Stereo Mixture Density Networks
    Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger
    http://arxiv.org/abs/2104.03866v1

    • [cs.CV]SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes
    Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger
    http://arxiv.org/abs/2104.03953v1

    • [cs.CV]SOLD2: Self-supervised Occlusion-aware Line Description and Detection
    Rémi Pautrat, Juan-Ting Lin, Viktor Larsson, Martin R. Oswald, Marc Pollefeys
    http://arxiv.org/abs/2104.03362v1

    • [cs.CV]Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
    Zhicheng Huang, Zhaoyang Zeng, Yupan Huang, Bei Liu, Dongmei Fu, Jianlong Fu
    http://arxiv.org/abs/2104.03135v2

    • [cs.CV]Semantic Scene Completion via Integrating Instances and Scene in-the-Loop
    Yingjie Cai, Xuesong Chen, Chao Zhang, Kwan-Yee Lin, Xiaogang Wang, Hongsheng Li
    http://arxiv.org/abs/2104.03640v1

    • [cs.CV]SiT: Self-supervised vIsion Transformer
    Sara Atito, Muhammad Awais, Josef Kittler
    http://arxiv.org/abs/2104.03602v1

    • [cs.CV]Siam-ReID: Confuser Aware Siamese Tracker with Re-identification Feature
    Abu Md Niamul Taufique, Andreas Savakis, Michael Braun, Daniel Kubacki, Ethan Dell, Lei Qian, Sean M. O’Rourke
    http://arxiv.org/abs/2104.03510v1

    • [cs.CV]The Single-Noun Prior for Image Clustering
    Niv Cohen, Yedid Hoshen
    http://arxiv.org/abs/2104.03952v1

    • [cs.CV]TokenPose: Learning Keypoint Tokens for Human Pose Estimation
    Yanjie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou
    http://arxiv.org/abs/2104.03516v1

    • [cs.CV]Towards End-to-End Neural Face Authentication in the Wild - Quantifying and Compensating for Directional Lighting Effects
    Viktor Varkarakis, Wang Yao, Peter Corcoran
    http://arxiv.org/abs/2104.03854v1

    • [cs.CV]Towards On-Device Face Recognition in Body-worn Cameras
    Ali Almadan, Ajita Rattani
    http://arxiv.org/abs/2104.03419v1

    • [cs.CV]Track, Check, Repeat: An EM Approach to Unsupervised Tracking
    Adam W. Harley, Yiming Zuo, Jing Wen, Ayush Mangal, Shubhankar Potdar, Ritwick Chaudhry, Katerina Fragkiadaki
    http://arxiv.org/abs/2104.03424v1

    • [cs.CV]Video Question Answering with Phrases via Semantic Roles
    Arka Sadhu, Kan Chen, Ram Nevatia
    http://arxiv.org/abs/2104.03762v1

    • [cs.CV]Warp Consistency for Unsupervised Learning of Dense Correspondences
    Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool
    http://arxiv.org/abs/2104.03308v2

    • [cs.CY]Classification, Slippage, Failure and Discovery
    Marc Böhlen
    http://arxiv.org/abs/2104.03886v1

    • [cs.CY]Digital Epidemiology: A review
    David Pastor-Escuredo
    http://arxiv.org/abs/2104.03611v1

    • [cs.CY]E-Commerce in Turkey and SAP Integrated E-Commerce System
    Ahmet Kaya, Ömer Aydin
    http://arxiv.org/abs/2104.03911v1

    • [cs.CY]On Telecommunication Service Imbalance and Infrastructure Resource Deployment
    Chuanting Zhang, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini
    http://arxiv.org/abs/2104.03948v1

    • [cs.DB]Correlation Sketches for Approximate Join-Correlation Queries
    Aécio Santos, Aline Bessa, Fernando Chirigati, Christopher Musco, Juliana Freire
    http://arxiv.org/abs/2104.03353v1

    • [cs.DB]Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases
    Yin Li, Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma
    http://arxiv.org/abs/2104.03354v1

    • [cs.DB]QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search
    Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang
    http://arxiv.org/abs/2104.03583v1

    • [cs.DC]Exploring Task Placement for Edge-to-Cloud Applications using Emulation
    Andre Luckow, Kartik Rattan, Shantenu Jha
    http://arxiv.org/abs/2104.03368v1

    • [cs.DC]Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum
    Andre Luckow, Kartik Rattan, Shantenu Jha
    http://arxiv.org/abs/2104.03374v1

    • [cs.DC]Practical Byzantine Reliable Broadcast on Partially Connected Networks
    Silvia Bonomi, Jérémie Decouchant, Giovanni Farina, Vincent Rahli, Sébastien Tixeuil
    http://arxiv.org/abs/2104.03673v1

    • [cs.DC]Security, Performance and Energy Implications of Hardware-assisted Memory Protection Mechanisms on Event-based Streaming Systems
    Christian Göttel, Rafael Pires, Isabelly Rocha, Sébastien Vaucher, Pascal Felber, Marcelo Pasin, Valerio Schiavoni
    http://arxiv.org/abs/2104.03731v1

    • [cs.DL]Evaluating the state-of-the-art in mapping research spaces: a Brazilian case study
    Francisco Galuppo Azevedo, Fabricio Murai
    http://arxiv.org/abs/2104.03338v1

    • [cs.GT]Computation and Bribery of Voting Power in Delegative Simple Games
    Gianlorenzo D’Angelo, Esmaeil Delfaraz, Hugo Gilbert
    http://arxiv.org/abs/2104.03692v1

    • [cs.HC]A Conceptual Framework for Implicit Evaluation of Conversational Search Interfaces
    Abhishek Kaushik, Gareth J. F. Jones
    http://arxiv.org/abs/2104.03940v1

    • [cs.HC]Question-Driven Design Process for Explainable AI User Experiences
    Q. Vera Liao, Milena Pribić, Jaesik Han, Sarah Miller, Daby Sow
    http://arxiv.org/abs/2104.03483v1

    • [cs.IT]An Information-Theoretic Proof of a Finite de Finetti Theorem
    Lampros Gavalakis, Ioannis Kontoyiannis
    http://arxiv.org/abs/2104.03882v1

    • [cs.IT]Distributed Resource Management in Downlink Cache-enabled Multi-cloud Radio Access Networks
    Alaa Alameer Ahmad, Robert-Jeron Reifert, Hayssam Dahrouj, Anas Chaaban, Aydin Sezgin, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini
    http://arxiv.org/abs/2104.03664v1

    • [cs.IT]IRS Meets Relaying: Joint Resource Allocation and Passive Beamforming Optimization
    Beixiong Zheng, Rui Zhang
    http://arxiv.org/abs/2104.03579v1

    • [cs.IT]Massive Access in Media Modulation Based Massive Machine-Type Communications
    Li Qiao, Jun Zhang, Zhen Gao, Derrick Wing Kwan Ng, Marco Di Renzo, Mohamed-Slim Alouini
    http://arxiv.org/abs/2104.03874v1

    • [cs.IT]NOMA-Based Hybrid Satellite-UAV-Terrestrial Networks for Beyond 5G Maritime Internet of Things
    Xinran Fang, Wei Feng, Yanmin Wang, Yunfei Chen, Ning Ge
    http://arxiv.org/abs/2104.03755v1

    • [cs.IT]One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach
    Yuan Zhao, Xiaochuan Ke, Bo Zhao, Yuhang Xiao, Lei Huang
    http://arxiv.org/abs/2104.03481v1

    • [cs.IT]Optimal Resource Allocation Design for Large IRS-Assisted SWIPT Systems: A Scalable Optimization Framework
    Dongfang Xu, Vahid Jamali, Xianghao Yu, Derrick Wing Kwan Ng, Robert Schober
    http://arxiv.org/abs/2104.03346v1

    • [cs.IT]Optimal Resource Allocation for Full-Duplex IoT Systems Underlaying Cellular Networks with Mutual SIC NOMA
    Antoine Kilzi, Joumana Farah, Charbel Abdel Nour, Catherine Douillard
    http://arxiv.org/abs/2104.03720v1

    • [cs.IT]Securing NOMA Networks by Exploiting Intelligent Reflecting Surface
    Zheng Zhang, Jian Chen, Qingqing Wu, Yuanwei Liu, Lu Lv, Xunqi Su
    http://arxiv.org/abs/2104.03460v1

    • [cs.IT]Weight Distributions of Two Classes of Linear Codes with Five or Six Weights
    Xina Zhang
    http://arxiv.org/abs/2104.03457v1

    • [cs.LG]A Reinforcement Learning Environment For Job-Shop Scheduling
    Pierre Tassel, Martin Gebser, Konstantin Schekotihin
    http://arxiv.org/abs/2104.03760v1

    • [cs.LG]A single gradient step finds adversarial examples on random two-layers neural networks
    Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Rémi Tachet des Combes
    http://arxiv.org/abs/2104.03863v1

    • [cs.LG]Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
    Karl-Philipp Kortmann, Moritz Fehsenfeld, Mark Wielitzka
    http://arxiv.org/abs/2104.02784v2

    • [cs.LG]Bayesian Variational Federated Learning and Unlearning in Decentralized Networks
    Jinu Gong, Osvaldo Simeone, Joonhyuk Kang
    http://arxiv.org/abs/2104.03834v1

    • [cs.LG]CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data
    Mostafa Mehdipour Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen
    http://arxiv.org/abs/2104.03739v1

    • [cs.LG]DeepProg: A Transformer-based Framework for Predicting Disease Prognosis
    Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
    http://arxiv.org/abs/2104.03642v1

    • [cs.LG]Exact Stochastic Second Order Deep Learning
    Fares B. Mehouachi, Chaouki Kasmi
    http://arxiv.org/abs/2104.03804v1

    • [cs.LG]Explainability-based Backdoor Attacks Against Graph Neural Networks
    Jing Xu, Minhui, Xue, Stjepan Picek
    http://arxiv.org/abs/2104.03674v1

    • [cs.LG]GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference
    Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh SoleymaniBaghshah, Hamid R. Rabiee, Nassir Navab
    http://arxiv.org/abs/2104.03597v1

    • [cs.LG]Generating multi-type sequences of temporal events to improve fraud detection in game advertising
    Lun Jiang, Nima Salehi Sadghiani, Zhuo Tao
    http://arxiv.org/abs/2104.03428v1

    • [cs.LG]Gi and Pal Scores: Deep Neural Network Generalization Statistics
    Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
    http://arxiv.org/abs/2104.03469v1

    • [cs.LG]Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning
    Alice Gatti, Zhixiong Hu, Pieter Ghysels, Esmond G. Ng, Tess Smidt
    http://arxiv.org/abs/2104.03546v1

    • [cs.LG]Incentivizing Exploration in Linear Bandits under Information Gap
    Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang
    http://arxiv.org/abs/2104.03860v1

    • [cs.LG]Joint Optimization of Communications and Federated Learning Over the Air
    Xin Fan, Yue Wang, Yan Huo, Zhi Tian
    http://arxiv.org/abs/2104.03490v1

    • [cs.LG]Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
    Zekai Chen, Dingshuo Chen, Zixuan Yuan, Xiuzhen Cheng, Xiao Zhang
    http://arxiv.org/abs/2104.03466v1

    • [cs.LG]Learning What To Do by Simulating the Past
    David Lindner, Rohin Shah, Pieter Abbeel, Anca Dragan
    http://arxiv.org/abs/2104.03946v1

    • [cs.LG]Leveraging Good Representations in Linear Contextual Bandits
    Matteo Papini, Andrea Tirinzoni, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta
    http://arxiv.org/abs/2104.03781v1

    • [cs.LG]Neural Temporal Point Processes: A Review
    Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann
    http://arxiv.org/abs/2104.03528v1

    • [cs.LG]OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks
    Mohammad Aaftab V, Mansi Sharma
    http://arxiv.org/abs/2104.03935v1

    • [cs.LG]On tuning consistent annealed sampling for denoising score matching
    Joan Serrà, Santiago Pascual, Jordi Pons
    http://arxiv.org/abs/2104.03725v1

    • [cs.LG]Post-Hoc Domain Adaptation via Guided Data Homogenization
    Kurt Willis, Luis Oala
    http://arxiv.org/abs/2104.03624v1

    • [cs.LG]Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape
    Seo Taek Kong, Soomin Jeon, Jaewon Lee, Hongseok Lee, Kyu-Hwan Jung
    http://arxiv.org/abs/2104.03525v1

    • [cs.LG]Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations
    Wei W. Xing, Akeel A. Shah, Peng Wang, Shandian Zhe Qian Fu, Robert. M. Kirby
    http://arxiv.org/abs/2104.03743v1

    • [cs.LG]Rethinking the Backdoor Attacks’ Triggers: A Frequency Perspective
    Yi Zeng, Won Park, Z. Morley Mao, Ruoxi Jia
    http://arxiv.org/abs/2104.03413v1

    • [cs.LG]Semi-supervised on-device neural network adaptation for remote and portable laser-induced breakdown spectroscopy
    Kshitij Bhardwaj, Maya Gokhale
    http://arxiv.org/abs/2104.03439v1

    • [cs.LG]Support-Target Protocol for Meta-Learning
    Su Lu, Han-Jia Ye, De-Chuan Zhan
    http://arxiv.org/abs/2104.03736v1

    • [cs.LG]Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure
    Katarzyna Pekala, Katarzyna Woznica, Przemyslaw Biecek
    http://arxiv.org/abs/2104.03403v1

    • [cs.LG]Uncertainty-aware Remaining Useful Life predictor
    Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink
    http://arxiv.org/abs/2104.03613v1

    • [cs.LG]Universal Spectral Adversarial Attacks for Deformable Shapes
    Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà
    http://arxiv.org/abs/2104.03356v1

    • [cs.NE]Heuristic Strategies for Solving Complex Interacting Large-Scale Stockpile Blending Problems
    Yue Xie, Aneta Neumann, Frank Neumann
    http://arxiv.org/abs/2104.03440v1

    • [cs.NE]Lower Bounds from Fitness Levels Made Easy
    Benjamin Doerr, Timo Kötzing
    http://arxiv.org/abs/2104.03372v1

    • [cs.PL]A Proposal for an Interactive Shell Based on a Typed Lambda Calculus
    Kouji Matsui
    http://arxiv.org/abs/2104.03678v1

    • [cs.RO]A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics
    Laura Petrich, Jun Jin, Masood Dehghan, Martin Jagersand
    http://arxiv.org/abs/2104.03892v1

    • [cs.RO]A Scalable Distributed Collision Avoidance Scheme for Multi-agent UAV systems
    Björn Lindqvist, Pantelis Sopasakis, George Nikolakopoulos
    http://arxiv.org/abs/2104.03783v1

    • [cs.RO]An Equivariant Filter for Visual Inertial Odometry
    Pieter van Goor, Robert Mahony
    http://arxiv.org/abs/2104.03532v1

    • [cs.RO]CineMPC: Controlling Camera Intrinsics and Extrinsics for Autonomous Cinematography
    Pablo Pueyo, Eduardo Montijano, Ana C. Murillo, Mac Schwager
    http://arxiv.org/abs/2104.03634v1

    • [cs.RO]Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators
    Linh Kästner, Teham Buiyan, Xinlin Zhao, Zhengcheng Shen, Cornelius Marx, Jens Lambrecht
    http://arxiv.org/abs/2104.03663v1

    • [cs.RO]Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data
    Patrick Pfreundschuh, Hubertus Franciscus Cornelis Hendrikx, Victor Reijgwart, Renaud Dubé, Roland Siegwart, Andrei Cramariuc
    http://arxiv.org/abs/2104.03657v1

    • [cs.RO]Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning
    Vikram Shree, Beatriz Asfora, Rachel Zheng, Samantha Hong, Jacopo Banfi, Mark Campbell
    http://arxiv.org/abs/2104.03809v1

    • [cs.RO]Exploration-RRT: A multi-objective Path Planning and Exploration Framework for Unknown and Unstructured Environments
    Björn Lindqvist, Ali-akbar Agha-mohammadi, George Nikolakopoulos
    http://arxiv.org/abs/2104.03724v1

    • [cs.RO]Multi-Objective Optimization of a Path-following MPC for Vehicle Guidance: A Bayesian Optimization Approach
    Ali Gharib, David Stenger, Robert Ritschel, Rick Voßwinkel
    http://arxiv.org/abs/2104.03773v1

    • [cs.RO]Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control
    Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif, Sezen Yagmur Gunay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas Onal, Taskin Padir, Deniz Erdogmus, Gunar Schirner
    http://arxiv.org/abs/2104.03893v1

    • [cs.RO]Seeing Thru Walls: Visualizing Mobile Robots in Augmented Reality
    Morris Gu, Akansel Cosgun, Wesley P. Chan, Tom Drummond, Elizabeth Croft
    http://arxiv.org/abs/2104.03547v1

    • [cs.RO]Spatial Imagination With Semantic Cognition for Mobile Robots
    Zhengcheng Shen, Linh Kästner, Jens Lambrecht
    http://arxiv.org/abs/2104.03638v1

    • [cs.RO]Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems
    Linh Kästner, Teham Buiyan, Xinlin Zhao, Lei Jiao, Zhengcheng Shen, Jens Lambrecht
    http://arxiv.org/abs/2104.03616v1

    • [cs.SD]Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings
    Leonardo Pepino, Pablo Riera, Luciana Ferrer
    http://arxiv.org/abs/2104.03502v1

    • [cs.SD]Half-Truth: A Partially Fake Audio Detection Dataset
    Jiangyan Yi, Ye Bai, Jianhua Tao, Zhengkun Tian, Chenglong Wang, Tao Wang, Ruibo Fu
    http://arxiv.org/abs/2104.03617v1

    • [cs.SD]MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement
    Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao
    http://arxiv.org/abs/2104.03538v1

    • [cs.SD]SerumRNN: Step by Step Audio VST Effect Programming
    Christopher Mitcheltree, Hideki Koike
    http://arxiv.org/abs/2104.03876v1

    • [cs.SD]Speech Denoising without Clean Training Data: a Noise2Noise Approach
    Madhav Mahesh Kashyap, Anuj Tambwekar, Krishnamoorthy Manohara, S Natarajan
    http://arxiv.org/abs/2104.03838v1

    • [cs.SD]Towards Multi-Scale Style Control for Expressive Speech Synthesis
    Xiang Li, Changhe Song, Jingbei Li, Zhiyong Wu, Jia Jia, Helen Meng
    http://arxiv.org/abs/2104.03521v1

    • [cs.SD]WNARS: WFST based Non-autoregressive Streaming End-to-End Speech Recognition
    Zhichao Wang, Wenwen Yang, Pan Zhou, Wei Chen
    http://arxiv.org/abs/2104.03587v1

    • [cs.SE]Automated User Experience Testing through Multi-Dimensional Performance Impact Analysis
    Chidera Biringa, Gokhan Kul
    http://arxiv.org/abs/2104.03453v1

    • [cs.SI]Centrality-Weighted Opinion Dynamics: Disagreement and Social Network Partition
    Shuang Gao
    http://arxiv.org/abs/2104.03485v1

    • [cs.SI]MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations
    Islem Rekik, Mustafa Burak Gurbuz
    http://arxiv.org/abs/2104.03895v1

    • [cs.SI]Media Cloud: Massive Open Source Collection of Global News on the Open Web
    Hal Roberts, Rahul Bhargava, Linas Valiukas, Dennis Jen, Momin M. Malik, Cindy Bishop, Emily Ndulue, Aashka Dave, Justin Clark, Bruce Etling, Rob Faris, Anushka Shah, Jasmin Rubinowitz, Alexis Hope, Catherine D’Ignazio, Fernando Bermejo, Yochai Benkler, Ethan Zuckerman
    http://arxiv.org/abs/2104.03702v1

    • [cs.SI]PATHATTACK: Attacking Shortest Paths in Complex Networks
    Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
    http://arxiv.org/abs/2104.03761v1

    • [cs.SI]The educational process organization in the distance learning model: problems and features
    M. Y. Raitina, A. O. Pustovarova, E. M. Pokrovskaya
    http://arxiv.org/abs/2104.03590v1

    • [econ.EM]Predicting Inflation with Neural Networks
    Livia Paranhos
    http://arxiv.org/abs/2104.03757v1

    • [econ.EM]The Proper Use of Google Trends in Forecasting Models
    Marcelo C. Medeiros, Henrique F. Pires
    http://arxiv.org/abs/2104.03065v2

    • [eess.AS]Pushing the Limits of Non-Autoregressive Speech Recognition
    Edwin G. Ng, Chung-Cheng Chiu, Yu Zhang, William Chan
    http://arxiv.org/abs/2104.03416v1

    • [eess.IV]A transfer-learning approach for lesion detection in endoscopic images from the urinary tract
    Jorge F. Lazo, Sara Moccia, Aldo Marzullo, Michele Catellani, Ottavio De Cobelli, Benoit Rosa, Michel de Mathelin, Elena De Momi
    http://arxiv.org/abs/2104.03927v1

    • [eess.IV]Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy
    Olivier Rukundo, Marius Pedersen, Øistein Hovde
    http://arxiv.org/abs/2104.03668v1

    • [eess.IV]Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images
    Wenqiang Li, YM Tang, Ziyang Wang, KM Yu, Sandy To
    http://arxiv.org/abs/2104.03715v1

    • [eess.IV]BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation
    Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li
    http://arxiv.org/abs/2104.03768v1

    • [eess.IV]M-Net with Bidirectional ConvLSTM for Cup and Disc Segmentation in Fundus Images
    Maleeha Khalid Khan, Syed Muhammad Anwar
    http://arxiv.org/abs/2104.03549v1

    • [eess.IV]MRI-based Alzheimer’s disease prediction via distilling the knowledge in multi-modal data
    Hao Guan, Chaoyue Wang, Dacheng Tao
    http://arxiv.org/abs/2104.03618v1

    • [eess.IV]Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes
    Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
    http://arxiv.org/abs/2104.03577v1

    • [eess.IV]Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond
    Anneke Meyer, Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen, Marko Rak
    http://arxiv.org/abs/2104.03840v1

    • [eess.SY]Leaderless collective motions in affine formation control
    Hector Garcia de Marina, Juan Jimenez Castellanos, Weijia Yao
    http://arxiv.org/abs/2104.03412v1

    • [math.DS]Efficient time stepping for numerical integration using reinforcement learning
    Michael Dellnitz, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, Karlson Pfannschmidt
    http://arxiv.org/abs/2104.03562v1

    • [math.NA]Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods
    Andrew B. Duncan, Andrew M. Stuart, Marie-Therese Wolfram
    http://arxiv.org/abs/2104.03384v1

    • [math.PR]Degree distributions in AB random geometric graphs
    Clara Stegehuis, Lotte Weedage
    http://arxiv.org/abs/2104.03711v1

    • [math.PR]Large Deviations and Information theory for Sub-Critical SINR Randon Network Models
    E. Sakyi-Yeboah, P. S. Andam, L. Asiedu, K. Doku-Amponsah
    http://arxiv.org/abs/2104.03443v1

    • [math.ST]A new stochastic order based on discrete Laplace transform and some ordering results of the order statistics
    Fatemeh Gharari, Masoud Ganji
    http://arxiv.org/abs/2104.03716v1

    • [math.ST]Equivariant Estimation of Fréchet Means
    Andrew McCormack, Peter Hoff
    http://arxiv.org/abs/2104.03397v1

    • [math.ST]Fixed-Domain Inference for Gausian Processes with Matérn Covariogram on Compact Riemannian Manifolds
    Didong Li, Wenpin Tang, Sudipto Banerjee
    http://arxiv.org/abs/2104.03529v1

    • [math.ST]Spectral statistics of high dimensional sample covariance matrix with unbounded population spectral norm
    Yanqing Yin
    http://arxiv.org/abs/2104.03417v1

    • [math.ST]Synthetic Likelihood in Misspecified Models: Consequences and Corrections
    David T. Frazier, Christopher Drovandi, David J. Nott
    http://arxiv.org/abs/2104.03436v1

    • [physics.soc-ph]Complex network prediction using deep learning
    Yoshihisa Tanaka, Ryosuke Kojima, Shoichi Ishida, Fumiyoshi Yamashita, Yasushi Okuno
    http://arxiv.org/abs/2104.03871v1

    • [q-bio.PE]Evolutionary rates of information gain and decay in fluctuating environments
    Nicholas Guttenberg
    http://arxiv.org/abs/2104.03406v1

    • [quant-ph]Quantum Enhanced Filter: QFilter
    Parfait Atchade-Adelomou, Guillermo Alonso-Linaje
    http://arxiv.org/abs/2104.03418v1

    • [quant-ph]Single-Qubit Fidelity Assessment of Quantum Annealing Hardware
    Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Carleton Coffrin
    http://arxiv.org/abs/2104.03335v1

    • [stat.AP]A MCMC-type simple probabilistic approach for determining optimal progressive censoring schemes
    Ritwik Bhattacharya, Narayanaswamy Balakrishnan
    http://arxiv.org/abs/2104.03792v1

    • [stat.AP]Embeddings and Attention in Predictive Modeling
    Kevin Kuo, Ronald Richman
    http://arxiv.org/abs/2104.03545v1

    • [stat.AP]Reflection on modern methods: competing risks versus multi-state models
    Fran Llopis-Cardona, Carmen Armero, Gabriel Sanfélix-Gimeno
    http://arxiv.org/abs/2104.03671v1

    • [stat.AP]Sugar and Stops in Drivers with Insulin-Dependent Type 1 Diabetes
    Ashirwad Barnwal, Pranamesh Chakraborty, Anuj Sharma, Luis Riera-Garcia, Koray Ozcan, Sayedomidreza Davami, Soumik Sarkar, Matthew Rizzo, Jennifer Merickel
    http://arxiv.org/abs/2104.03735v1

    • [stat.ME]A New Perspective on Debiasing Linear Regressions
    Yufei Yi, Matey Neykov
    http://arxiv.org/abs/2104.03464v1

    • [stat.ME]A bivariate likelihood approach for estimation of a pooled continuous effect size from a heteroscedastic meta-analysis study
    Osama Almalik, Edwin R. van den Heuvel
    http://arxiv.org/abs/2104.03394v1

    • [stat.ME]Adaptive treatment allocation and selection in multi-arm clinical trials: a Bayesian perspective
    Elja Arjas, Dario Gasbarra
    http://arxiv.org/abs/2104.03398v1

    • [stat.ME]Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC
    Marko Järvenpää, Jukka Corander
    http://arxiv.org/abs/2104.03942v1

    • [stat.ME]Average Treatment Effects in the Presence of Interference
    Yuchen Hu, Shuangning Li, Stefan Wager
    http://arxiv.org/abs/2104.03802v1

    • [stat.ME]Dynamic Weights in Gaussian Mixture Models: A Bayesian Approach
    Michel H. Montoril, Leandro T. Correia, Helio S. Migon
    http://arxiv.org/abs/2104.03395v1

    • [stat.ME]Functional L-Optimality Subsampling for Massive Data
    Hua Liu, Jinhong You, Jiguo Cao
    http://arxiv.org/abs/2104.03446v1

    • [stat.ME]Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators
    Lorenzo Pacchiardi, Ritabrata Dutta
    http://arxiv.org/abs/2104.03889v1

    • [stat.ML]Archetypal Analysis for Sparse Nonnegative Matrix Factorization: Robustness Under Misspecification
    Kayhan Behdin, Rahul Mazumder
    http://arxiv.org/abs/2104.03527v1