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-eCNNs: 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-eCNNs: 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