归档 - 今日学术视野(2021.4.8) - 《爱可可老师分享》

cond-mat.dis-nn - 无序系统与神经网络

cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CC - 计算复杂度 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 cs.SY - 系统与控制 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

• [cond-mat.dis-nn]Large-scale Sustainable Search on Unconventional Computing Hardware
• [cs.AI]ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities
• [cs.AI]Data-driven Design of Context-aware Monitors for Hazard Prediction in Artificial Pancreas Systems
• [cs.AI]How to Accelerate Capsule Convolutions in Capsule Networks
• [cs.AI]Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
• [cs.AI]Preferential Structures for Comparative Probabilistic Reasoning
• [cs.AI]Text-guided Legal Knowledge Graph Reasoning
• [cs.AI]The Duo of Artificial Intelligence and Big Data forIndustry 4.0: Review of Applications, Techniques,Challenges, and Future Research Directions
• [cs.AR]Designing Efficient and High-performance AI Accelerators with Customized STT-MRAM
• [cs.AR]GPU Domain Specialization via Composable On-Package Architecture
• [cs.CC]Proof Complexity of Symbolic QBF Reasoning
• [cs.CL]A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning Setting
• [cs.CL]AI4D — African Language Program
• [cs.CL]Attention Head Masking for Inference Time Content Selection in Abstractive Summarization
• [cs.CL]Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge
• [cs.CL]Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion
• [cs.CL]Discrete Reasoning Templates for Natural Language Understanding
• [cs.CL]Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For Latency
• [cs.CL]EasyCall corpus: a dysarthric speech dataset
• [cs.CL]Efficient Attentions for Long Document Summarization
• [cs.CL]Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach
• [cs.CL]Non-autoregressive Mandarin-English Code-switching Speech Recognition with Pinyin Mask-CTC and Word Embedding Regularization
• [cs.CL]ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation
• [cs.CL]OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation
• [cs.CL]Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations
• [cs.CL]SERRANT: a syntactic classifier for English Grammatical Error Types
• [cs.CL]SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition
• [cs.CL]Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding
• [cs.CL]SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network
• [cs.CL]What Will it Take to Fix Benchmarking in Natural Language Understanding?
• [cs.CL]WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
• [cs.CL]hBert + BiasCorp — Fighting Racism on the Web
• [cs.CR]Backdoor Attack in the Physical World
• [cs.CR]Efficient and Privacy-Preserving Infection Control System for Covid-19-Like Pandemics using Blockchain
• [cs.CR]Enabling Inference Privacy with Adaptive Noise Injection
• [cs.CR]Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
• [cs.CV]3D-to-2D Distillation for Indoor Scene Parsing
• [cs.CV]Achieving Domain Generalization in Underwater Object Detection by Image Stylization and Domain Mixup
• [cs.CV]Action Shuffle Alternating Learning for Unsupervised Action Segmentation
• [cs.CV]Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification
• [cs.CV]Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization
• [cs.CV]Adversarial Robustness under Long-Tailed Distribution
• [cs.CV]Anchor-Constrained Viterbi for Set-Supervised Action Segmentation
• [cs.CV]Are GAN generated images easy to detect? A critical analysis of the state-of-the-art
• [cs.CV]Attentional Graph Neural Network for Parking-slot Detection
• [cs.CV]Automatic Large Scale Detection of Red Palm Weevil Infestation using Aerial and Street View Images
• [cs.CV]Automatic Micro-Expression Apex Frame Spotting using Local Binary Pattern from Six Intersection Planes
• [cs.CV]Bottom-Up Human Pose Estimation
5780
Via Disentangled Keypoint Regression
• [cs.CV]Change Detection from SAR Images Based on Deformable Residual Convolutional Neural Networks
• [cs.CV]Compressing Visual-linguistic Model via Knowledge Distillation
• [cs.CV]Content-Aware GAN Compression
• [cs.CV]Contrastive Syn-to-Real Generalization
• [cs.CV]DCANet: Dense Context-Aware Network for Semantic Segmentation
• [cs.CV]Deep Animation Video Interpolation in the Wild
• [cs.CV]Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries
• [cs.CV]Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers
• [cs.CV]Efficient Video Compression via Content-Adaptive Super-Resolution
• [cs.CV]Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier
• [cs.CV]Few-Shot Transformation of Common Actions into Time and Space
• [cs.CV]Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning
• [cs.CV]Fourier Image Transformer
• [cs.CV]Hippocampus-heuristic Character Recognition Network for Zero-shot Learning
• [cs.CV]Hyperspectral and LiDAR data classification based on linear self-attention
• [cs.CV]Hypothesis-driven Stream Learning with Augmented Memory
• [cs.CV]Instantaneous Stereo Depth Estimation of Real-World Stimuli with a Neuromorphic Stereo-Vision Setup
• [cs.CV]IronMask: Modular Architecture for Protecting Deep Face Template
• [cs.CV]Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation
• [cs.CV]Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning
• [cs.CV]Learning Optical Flow from a Few Matches
• [cs.CV]Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping
• [cs.CV]Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-Identification
• [cs.CV]Learning to Estimate Hidden Motions with Global Motion Aggregation
• [cs.CV]Local Metrics for Multi-Object Tracking
• [cs.CV]Localizing Visual Sounds the Hard Way
• [cs.CV]MirrorNeRF: One-shot Neural Portrait RadianceField from Multi-mirror Catadioptric Imaging
• [cs.CV]Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting
• [cs.CV]Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo
• [cs.CV]Multi-hierarchical Convolutional Network for Efficient Remote Photoplethysmograph Signal and Heart Rate Estimation from Face Video Clips
• [cs.CV]Multiple instance active learning for object detection
• [cs.CV]Neural Feature Search for RGB-Infrared Person Re-Identification
• [cs.CV]Objects are Different: Flexible Monocular 3D Object Detection
• [cs.CV]One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
• [cs.CV]ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement
• [cs.CV]SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation
• [cs.CV]Scene Graph Embeddings Using Relative Similarity Supervision
• [cs.CV]Strumming to the Beat: Audio-Conditioned Contrastive Video Textures
• [cs.CV]Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition
• [cs.CV]Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images
• [cs.CV]Uncertainty-aware Joint Salient Object and Camouflaged Object Detection
• [cs.CV]Unified Detection of Digital and Physical Face Attacks
• [cs.CV]Variational Transformer Networks for Layout Generation
• [cs.CV]Visual Alignment Constraint for Continuous Sign Language Recognition
• [cs.CV]Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision
• [cs.CV]Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
• [cs.CV]Weakly Supervised Video Salient Object Detection
• [cs.CV]Weakly supervised segmentation with cross-modality equivariant constraints
• [cs.CV]When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes
• [cs.CV]White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks
• [cs.CV]gradSim: Differentiable simulation for system identification and visuomotor control
• [cs.CY]Future of work: ethics
• [cs.DC]Rearchitecting Kubernetes for the Edge
• [cs.DC]Towards a Computing Platform for the LEO Edge
• [cs.DC]Zeus: Locality-aware Distributed Transactions
• [cs.GR]AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control
• [cs.HC]VR Hackathon with Goethe Institute: Lessons Learned from Organizing a Transdisciplinary VR Hackathon
• [cs.IR]CANS-Net: Context-Aware Non-Successive Modeling Network for Next Point-of-Interest Recommendation
• [cs.IR]Query2Prod2Vec Grounded Word Embeddings for eCommerce
• [cs.IT]Improving Cell-Free Massive MIMO by Local Per-Bit Soft Detection
• [cs.IT]LiFi Through Intelligent Reflecting Surfaces: A New Frontier for 6G?
• [cs.IT]On Performance Loss of DOA Measurement Using Massive MIMO Receiver with Mixed-ADCs
• [cs.IT]SimMBM Channel Simulator for Media-Based Modulation Systems
• [cs.IT]Some comments about CRC selection for the 5G NR specification
• [cs.IT]Two modifications for Loidreau’s code-based cryptosystem
• [cs.LG]A Concise Review of Transfer Learning
• [cs.LG]A Latent space solver for PDE generalization
• [cs.LG]A New Parallel Adaptive Clustering and its Application to Streaming Data
• [cs.LG]A data-driven personalized smart lighting recommender system
• [cs.LG]A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays
• [cs.LG]A novel activity pattern generation incorporating deep learning for transport demand models
• [cs.LG]An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network
• [cs.LG]Balancing Predictive Relevance of Ligand Biochemical Activities
• [cs.LG]Beyond Categorical Label Representations for Image Classification
• [cs.LG]Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark
• [cs.LG]Contrastive Explanations for Explaining Model Adaptations
• [cs.LG]Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning
• [cs.LG]Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
• [cs.LG]Enhancing the Diversity of Predictions Combination by Negative Correlation Learning
• [cs.LG]Ensemble deep learning: A review
• [cs.LG]Generalization of GANs under Lipschitz continuity and data augmentation
• [cs.LG]Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
• [cs.LG]Identity and Posture Recognition in Smart Beds with Deep Multitask Learning
• [cs.LG]IoT Security: Botnet detection in IoT using Machine learning
• [cs.LG]Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks
• [cs.LG]Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks
• [cs.LG]MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage
• [cs.LG]Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning
• [cs.LG]Noise Estimation for Generative Diffusion Models
• [cs.LG]On the Basis of Sex: A Review of Gender Bias in Machine Learning Applications
• [cs.LG]On the Optimality of Batch Policy Optimization Algorithms
• [cs.LG]Physics-Informed Neural Nets-based Control
• [cs.LG]Point classification with Runge-Kutta networks and feature space augmentation
• [cs.LG]RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications
• [cs.LG]Robust Classification Under $今日学术视野(2021.4.8) - 图1$ Attack for the Gaussian Mixture Model
• [cs.LG]Segmentation of EM showers for neutrino experiments with deep graph neural networks
• [cs.LG]Semi-Supervised Clustering with Inaccurate Pairwise Annotations
• [cs.LG]Shapley Explanation Networks
• [cs.LG]Spatio-Temporal Graph Convolutional Networks for Road Network Inundation Status Prediction during Urban Flooding
• [cs.LG]Structured Citation Trend Prediction Using Graph Neural Networks
• [cs.LG]TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT
• [cs.LG]Taming Adversarial Robustness via Abstaining
• [cs.LG]The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
• [cs.LG]Understanding Medical Conversations: Rich Transcription, Confidence Scores & Information Extraction
• [cs.LG]Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal
• [cs.LG]mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding
• [cs.NE]The Tangent Search Algorithm for Solving Optimization Problems
• [cs.NI]A Distributed Virtual Network Function Placement Approach in Satellite Edge and Cloud Computing
• [cs.NI]Software Defined Edge Computing for Distributed Management and Scalable Control in IoT Multinetworks
• [cs.NI]Towards Soft Circuit Breaking in Service Meshes via Application-agnostic Caching
• [cs.PL]A Review of Formal Methods applied to Machine Learning
• [cs.RO]Admissible heuristics for obstacle clearance optimization objectives
• [cs.RO]Attribute-Based Robotic Grasping with One-Grasp Adaptation
• [cs.RO]Control of a Tail-Sitter VTOL UAV Based on Recurrent Neural Networks
• [cs.RO]Dynamic-Aware Autonomous Exploration in Populated Environments
• [cs.RO]Exploring Consequential Robot Sound: Should We Make Robots Quiet and Kawaii-et?
• [cs.RO]General Robot Dynamics Learning and Gen2Real
• [cs.RO]Hey Robot, Which Way Are You Going? Nonverbal Motion Legibility Cues for Human-Robot Spatial Interaction
• [cs.RO]Mobile Robot Yielding Cues for Human-Robot Spatial Interaction
• [cs.RO]Multi-Robot Pickup and Delivery via Distributed Resource Allocation
• [cs.RO]WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments
• [cs.SD]Binary Neural Network for Speaker Verification
• [cs.SD]Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model
• [cs.SD]Dissecting User-Perceived Latency of On-Device E2E Speech Recognition
• [cs.SD]Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios
• [cs.SD]MuSLCAT: Multi-Scale Multi-Level Convolutional Attention Transformer for Discriminative Music Modeling on Raw Waveforms
• [cs.SD]Optimal Transport-based Adaptation in Dysarthric Speech Tasks
• [cs.SD]Streaming Multi-talker Speech Recognition with Joint Speaker Identification
• [cs.SE]Automated Performanc
552b
e Testing Based on Active Deep Learning
• [cs.SE]CodeTrans: Towards Cracking the Language of Silicone’s Code Through Self-Supervised Deep Learning and High Performance Computing
• [cs.SE]Global Software Engineering in the Age of GitHub and Zoom
• [cs.SE]Using Voice and Biofeedback to Predict User Engagement during Requirements Interviews
• [cs.SI]Calibratable Hetero-NodeRank for measuring node influence
• [cs.SI]Framework for Inferring Leadership Dynamics of Complex Movement from Time Series
• [cs.SY]Robust Tube-Based Decentralized Nonlinear Model Predictive Control of an Autonomous Tractor-Trailer System
• [eess.AS]End-to-End Speaker-Attributed ASR with Transformer
• [eess.AS]LT-LM: a novel non-autoregressive language model for single-shot lattice rescoring
• [eess.AS]NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
• [eess.AS]ProsoBeast Prosody Annotation Tool
• [eess.AS]Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification System
• [eess.AS]Speaker Diarization using Two-pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings
• [eess.AS]Speaker embeddings by modeling channel-wise correlations
• [eess.IV]A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs
• [eess.IV]Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model
• [eess.IV]In-Line Image Transformations for Imbalanced, Multiclass Computer Vision Classification of Lung Chest X-Rays
• [eess.IV]Insight about Detection, Prediction and Weather Impact of Coronavirus (Covid-19) using Neural Network
• [eess.IV]Pyramid U-Net for Retinal Vessel Segmentation
• [eess.IV]Searching Efficient Model-guided Deep Network for Image Denoising
• [eess.IV]Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs
• [eess.SP]Distributed Deep Reinforcement Learning for Collaborative Spectrum Sharing
• [eess.SY]Adaptive Variants of Optimal Feedback Policies
• [eess.SY]Fast Design Space Exploration of Nonlinear Systems: Part II
• [eess.SY]Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns
• [eess.SY]Particle MPC for Uncertain and Learning-Based Control
• [hep-ph]Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection
• [math.NA]Hardware-Oriented Krylov Methods for High-Performance Computing
• [math.OC]A Caputo fractional derivative-based algorithm for optimization
• [math.OC]Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization
• [math.OC]Solving Large Scale Quadratic Constrained Basis Pursuit
• [math.PR]Which Sampling Densities are Suitable for Spectral Clustering on Unbounded Domains?
• [math.ST]A non-asymptotic penalization criterion for model selection in mixture of experts models
• [math.ST]Counterexamples to the classical Central Limit Theorem for triplewise independent random variables having a common arbitrary margin
• [math.ST]Large factor model estimation by nuclear norm plus $今日学术视野(2021.4.8) - 图2$ norm penalization
• [math.ST]Nonparametric needlet estimation for partial derivatives of a probability density function on the $今日学术视野(2021.4.8) - 图3$ -torus
• [math.ST]Statistical Limits of Sparse Mixture Detection
• [physics.soc-ph]Inferring Network Structures via Signal Lasso
• [stat.AP]Clustering Students and Inferring Skill Set Profiles with Skill Hierarchies
• [stat.AP]Modelling Animal-Vehicle Collision Counts across Large Networks Using a Bayesian Hierarchical Model with Time-Varying Parameters
• [stat.AP]The survival-incorporated median versus the median in the survivors or in the always-survivors: What are we measuring? And why?
• [stat.CO]Statistical Network Analysis with Bergm
• [stat.ME]A new weighting method when not all the events are selected as cases in a nested case-control study
• [stat.ME]Constrained Parameterization of Reduced Rank and Co-integrated Vector Autoregression
• [stat.ME]Forecasting intra-individual changes of affective states taking into account inter-individual differences using intensive longitudinal data from a university student drop out study in math
• [stat.ME]Generation of new exciting regressors for consistent on-line estimation for a scalar parameter
• [stat.ME]Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
• [stat.ME]Locally Adaptive Smoothing for Functional Data
• [stat.ME]Objective Bayesian meta-analysis based on generalized multivariate random effects model
• [stat.ME]Semi-supervised empirical Bayes group-regularized factor regression
• [stat.ME]Spectral Subsampling MCMC for Stationary Multivariate Time Series
• [stat.ML]A Novel Approach for Semiconductor Etching Process with Inductive Biases
• [stat.ML]Deep learning for prediction of complex geology ahead of drilling
• [stat.ML]Deep neural network approximation of analytic functions
• [stat.ML]Model-data-driven constitutive responses: application to a multiscale computational framework
• [stat.ML]Nonlinear model reduction for slow-fast stochastic systems near manifolds
• [stat.ML]Revisiting Rashomon: A Comment on “The Two Cultures”
• [stat.ML]Survey of Imbalanced Data Methodologies
• [stat.ML]deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression

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• [cond-mat.dis-nn]Large-scale Sustainable Search on Unconventional Computing Hardware
Kirill P. Kalinin, Natalia G. Berloff
http://arxiv.org/abs/2104.02553v1

• [cs.AI]ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities
Hongming Zhang, Xin Liu, Haojie Pan, Haowen Ke, Jiefu Ou, Tianqing Fang, Yangqiu Song
http://arxiv.org/abs/2104.02137v1

• [cs.AI]Data-driven Design of Context-aware Monitors for Hazard Prediction in Artificial Pancreas Systems
Xugui Zhou, Bulbul Ahmed, James H. Aylor, Philip Asare, Homa Alemzadeh
http://arxiv.org/abs/2104.02545v1

• [cs.AI]How to Accelerate Capsule Convolutions in Capsule Networks
Zhenhua Chen, Xiwen Li, Qian Lou, David Crandall
http://arxiv.org/abs/2104.02621v1

• [cs.AI]Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben Haddou, Basheer Qolomany, Junaid Qadir, Muhammad Anan, Ala Al-Fuqaha, Mohamed Riduan Abid, Driss Benhaddou
http://arxiv.org/abs/2104.02214v1

• [cs.AI]Preferential Structures for Comparative Probabilistic Reasoning
Matthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard III
http://arxiv.org/abs/2104.02287v1

• [cs.AI]Text-guided Legal Knowledge Graph Reasoning
Luoqiu Li, Zhen Bi, Hongbin Ye, Shumin Deng, Hui Chen, Huaixiao Tou, Ningyu Zhang, Huajun Chen
http://arxiv.org/abs/2104.02284v1

• [cs.AI]The Duo of Artificial Intelligence and Big Data forIndustry 4.0: Review of Applications, Techniques,Challenges, and Future Research Directions
Senthil Kumar Jagatheesaperuma, Mohamed Rahouti, Kashif Ahmad, Mohsen Guizani, Ala Al-Fuqaha
http://arxiv.org/abs/2104.02425v1

• [cs.AR]Designing Efficient and High-performance AI Accelerators with Customized STT-MRAM
Kaniz Mishty, Mehdi Sadi
http://arxiv.org/abs/2104.02199v1

• [cs.AR]GPU Domain Specialization via Composable On-Package Architecture
Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, Stephen W. Keckler
http://arxiv.org/abs/2104.02188v1

• [cs.CC]Proof Complexity of Symbolic QBF Reasoning
Stefan Mengel, Friedrich Slivovsky
http://arxiv.org/abs/2104.02563v1

• [cs.CL]A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning Setting
Kun Qian, Wei Wei, Zhou Yu
http://arxiv.org/abs/2104.02689v1

• [cs.CL]AI4D — African Language Program
Kathleen Siminyu, Godson Kalipe, Davor Orlic, Jade Abbott, Vukosi Marivate, Sackey Freshia, Prateek Sibal, Bhanu Neupane, David I. Adelani, Amelia Taylor, Jamiil Toure ALI, Kevin Degila, Momboladji Balogoun, Thierno Ibrahima DIOP, Davis David, Chayma Fourati, Hatem Haddad, Malek Naski
http://arxiv.org/abs/2104.02516v1

• [cs.CL]Attention Head Masking for Inference Time Content Selection in Abstractive Summarization
Shuyang Cao, Lu Wang
http://arxiv.org/abs/2104.02205v1

• [cs.CL]Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian McAuley, Furu Wei
http://arxiv.org/abs/2104.02704v1

• [cs.CL]Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion
Duc Le, Mahaveer Jain, Gil Keren, Suyoun Kim, Yangyang Shi, Jay Mahadeokar, Julian Chan, Yuan Shangguan, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Michael L. Seltzer
http://arxiv.org/abs/2104.02194v1

• [cs.CL]Discrete Reasoning Templates for Natural Language Understanding
Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
http://arxiv.org/abs/2104.02115v1

• [cs.CL]Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For Latency
Yangyang Shi, Varun Nagaraja, Chunyang Wu, Jay Mahadeokar, Duc Le, Rohit Prabhavalkar, Alex Xiao, Ching-Feng Yeh, Julian Chan, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer
http://arxiv.org/abs/2104.02176v1

• [cs.CL]EasyCall corpus: a dysarthric speech dataset
Rosanna Turrisi, Arianna Braccia, Marco Emanuele, Simone Giulietti, Maura Pugliatti, Mariachiara Sensi, Luciano Fadiga, Leonardo Badino
http://arxiv.org/abs/2104.02542v1

• [cs.CL]Efficient Attentions for Long Document Summarization
Luyang Huang, Shuyang Cao, Nikolaus Parulian, Heng Ji, Lu Wang
http://arxiv.org/abs/2104.02112v1

• [cs.CL]Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach
P. Schulze, S. Wiegrebe, P. W. Thurner, C. Heumann, M. Aßenmacher, S. Wankmüller
http://arxiv.org/abs/2104.02496v1

• [cs.CL]Non-autoregressive Mandarin-English Code-switching Speech Recognition with Pinyin Mask-CTC and Word Embedding Regularization
Shun-Po Chuang, Heng-Jui Chang, Sung-Feng Huang, Hung-yi Lee
http://arxiv.org/abs/2104.02258v1

• [cs.CL]ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation
Bei Li, Quan Du, Tao Zhou, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu
http://arxiv.org/abs/2104.02308v1

• [cs.CL]OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation
Petr Marek, Vishal Ishwar Naik, Vincent Auvray, Anuj Goyal
http://arxiv.org/abs/2104.02484v1

• [cs.CL]Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations
Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan
http://arxiv.org/abs/2104.02667v1

• [cs.CL]SERRANT: a syntactic classifier for English Grammatical Error Types
Leshem Choshen, Matanel Orenm Dmitry Nikolaev, Omri Abend
http://arxiv.org/abs/2104.02310v1

• [cs.CL]SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition
Patrick K. O’Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe, Georg Kucsko
http://arxiv.org/abs/2104.02014v2

• [cs.CL]Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding
Suyoun Kim, Abhinav Arora, Duc Le, Ching-Feng Yeh, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer
http://arxiv.org/abs/2104.02138v1

• [cs.CL]SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network
William Chan, Daniel Park, Chris Lee, Yu Zhang, Quoc Le, Mohammad Norouzi
http://arxiv.org/abs/2104.02133v1

• [cs.CL]What Will it Take to Fix Benchmarking in Natural Language Understanding?
Samuel R. Bowman, George E. Dahl
http://arxiv.org/abs/2104.02145v1

• [cs.CL]WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan
http://arxiv.org/abs/2104.01767v2

• [cs.CL]hBert + BiasCorp — Fighting Racism on the Web
Olawale Onabola, Zhuang Ma, Yang Xie, Benjamin Akera, Abdulrahman Ibraheem, Jia Xue, Dianbo Liu, Yoshua Bengio
http://arxiv.org/abs/2104.02242v1

• [cs.CR]Backdoor Attack in the Physical World
Yiming Li, Tongqing Zhai, Yong Jiang, Zhifeng Li, Shu-Tao Xia
http://arxiv.org/abs/2104.02361v1

• [cs.CR]Efficient and Privacy-Preserving Infection Control System for Covid-19-Like Pandemics using Blockchain
Seham A. Alansar, Mahmoud M. Badr, Mohamed Mahmoud, Waleed Alasmary
http://arxiv.org/abs/2104.02263v1

• [cs.CR]Enabling Inference Privacy with Adaptive Noise Injection
Sanjay Kariyappa, Ousmane Dia, Moinuddin K Qureshi
http://arxiv.org/abs/2104.02261v1

• [cs.CR]Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
http://arxiv.org/abs/2104.02107v1

• [cs.CV]3D-to-2D Distillation for Indoor Scene Parsing
Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
http://arxiv.org/abs/2104.02243v1

• [cs.CV]Achieving Domain Generalization in Underwater Object Detection by Image Stylization and Domain Mixup
Pinhao Song, Linhui Dai, Peipei Yuan, Hong Liu, Runwei Ding
http://arxiv.org/abs/2104.02230v1

• [cs.CV]Action Shuffle Alternating Learning for Unsupervised Action Segmentation
Jun Li, Sinisa Todorovic
http://arxiv.org/abs/2104.02116v1

• [cs.CV]Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification
Samuel Henrique Silva, Arun Das, Ian Scarff, Peyman Najafirad
http://arxiv.org/abs/2104.02155v1

• [cs.CV]Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization
Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Qi Tian
http://arxiv.org/abs/2104.02357v1

• [cs.CV]Adversarial Robustness under Long-Tailed Distribution
Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin
http://arxiv.org/abs/2104.02703v1

• [cs.CV]Anchor-Constrained Viterbi for Set-Supervised Action Segmentation
Jun Li, Sinisa Todorovic
http://arxiv.org/abs/2104.02113v1

• [cs.CV]Are GAN generated images easy to detect? A critical analysis of the state-of-the-art
Diego Gragnaniello, Davide Cozzolino, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
http://arxiv.org/abs/2104.02617v1

• [cs.CV]Attentional Graph Neural Network for Parking-slot Detection
Chen Min, Jiaolong Xu, Liang Xiao, Dawei Zhao, Yiming Nie, Bin Dai
http://arxiv.org/abs/2104.02576v1

• [cs.CV]Automatic Large Scale Detection of Red Palm Weevil Infestation using Aerial and Street View Images
Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
http://arxiv.org/abs/2104.02598v1

• [cs.CV]Automatic Micro-Expression Apex Frame Spotting using Local Binary Pattern from Six Intersection Planes
Vida Esmaeili, Mahmood Mohassel Feghhi, Seyed Omid Shahdi
http://arxiv.org/abs/2104.02149v1

• [cs.CV]Bottom-Up Human Pose Estimation
5780
Via Disentangled Keypoint Regression
Zigang Geng, Ke Sun, Bin Xiao, Zhaoxiang Zhang, Jingdong Wang
http://arxiv.org/abs/2104.02300v1

• [cs.CV]Change Detection from SAR Images Based on Deformable Residual Convolutional Neural Networks
Junjie Wang, Feng Gao, Junyu Dong
http://arxiv.org/abs/2104.02299v1

• [cs.CV]Compressing Visual-linguistic Model via Knowledge Distillation
Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lijuan Wang, Yezhou Yang, Zicheng Liu
http://arxiv.org/abs/2104.02096v1

• [cs.CV]Content-Aware GAN Compression
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, S. Y. Kung
http://arxiv.org/abs/2104.02244v1

• [cs.CV]Contrastive Syn-to-Real Generalization
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar
http://arxiv.org/abs/2104.02290v1

• [cs.CV]DCANet: Dense Context-Aware Network for Semantic Segmentation
Yifu Liu, Chenfeng Xu, Xinyu Jin
http://arxiv.org/abs/2104.02533v1

• [cs.CV]Deep Animation Video Interpolation in the Wild
Li Siyao, Shiyu Zhao, Weijiang Yu, Wenxiu Sun, Dimitris N. Metaxas, Chen Change Loy, Ziwei Liu
http://arxiv.org/abs/2104.02495v1

• [cs.CV]Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries
Saif Imran, Xiaoming Liu, Daniel Morris
http://arxiv.org/abs/2104.02253v1

• [cs.CV]Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers
Jun-En Ding, Chi-Hsiang Chu, Mong-Na Lo Huang, Chien-Ching Hsu
http://arxiv.org/abs/2104.02066v1

• [cs.CV]Efficient Video Compression via Content-Adaptive Super-Resolution
Mehrdad Khani, Vibhaalakshmi Sivaraman, Mohammad Alizadeh
http://arxiv.org/abs/2104.02322v1

• [cs.CV]Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier
Dominika Przewlocka-Rus, Marcin Kowalczyk, Tomasz Kryjak
http://arxiv.org/abs/2104.02303v1

• [cs.CV]Few-Shot Transformation of Common Actions into Time and Space
Pengwan Yang, Pascal Mettes, Cees G. M. Snoek
http://arxiv.org/abs/2104.02439v1

• [cs.CV]Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning
Jianfeng Dong, Zhe Ma, Xiaofeng Mao, Xun Yang, Yuan He, Richang Hong, Shouling Ji
http://arxiv.org/abs/2104.02429v1

• [cs.CV]Fourier Image Transformer
Tim-Oliver Buchholz, Florian Jug
http://arxiv.org/abs/2104.02555v1

• [cs.CV]Hippocampus-heuristic Character Recognition Network for Zero-shot Learning
Shaowei Wang, Guanjie Huang, Xiangyu Luo
http://arxiv.org/abs/2104.02236v1

• [cs.CV]Hyperspectral and LiDAR data classification based on linear self-attention
Min Feng, Feng Gao, Jian Fang, Junyu Dong
http://arxiv.org/abs/2104.02301v1

• [cs.CV]Hypothesis-driven Stream Learning with Augmented Memory
Mengmi Zhang, Rohil Badkundri, Morgan B. Talbot, Gabriel Kreiman
http://arxiv.org/abs/2104.02206v1

• [cs.CV]Instantaneous Stereo Depth Estimation of Real-World Stimuli with a Neuromorphic Stereo-Vision Setup
Nicoletta Risi, Enrico Calabrese, Giacomo Indiveri
http://arxiv.org/abs/2104.02541v1

• [cs.CV]IronMask: Modular Architecture for Protecting Deep Face Template
Sunpill Kim, Yunseong Jeong, Jinsu Kim, Jungkon Kim, Hyung Tae Lee, Jae Hong Seo
http://arxiv.org/abs/2104.02239v1

• [cs.CV]Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation
Francesco Barbato, Marco Toldo, Umberto Michieli, Pietro Zanuttigh
http://arxiv.org/abs/2104.02633v1

• [cs.CV]Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning
Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye
http://arxiv.org/abs/2104.02281v1

• [cs.CV]Learning Optical Flow from a Few Matches
Shihao Jiang, Yao Lu, Hongdong Li, Richard Hartley
http://arxiv.org/abs/2104.02166v1

• [cs.CV]Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping
Jiahao Lin, Gim Hee Lee
http://arxiv.org/abs/2104.02385v1

• [cs.CV]Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-Identification
Suncheng Xiang, Yuzhuo Fu, Mengyuan Guan, Ting Liu
http://arxiv.org/abs/2104.02265v1

• [cs.CV]Learning to Estimate Hidden Motions with Global Motion Aggregation
Shihao Jiang, Dylan Campbell, Yao Lu, Hongdong Li, Richard Hartley
http://arxiv.org/abs/2104.02409v1

• [cs.CV]Local Metrics for Multi-Object Tracking
Jack Valmadre, Alex Bewley, Jonathan Huang, Chen Sun, Cristian Sminchisescu, Cordelia Schmid
http://arxiv.org/abs/2104.02631v1

• [cs.CV]Localizing Visual Sounds the Hard Way
Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman
http://arxiv.org/abs/2104.02691v1

• [cs.CV]MirrorNeRF: One-shot Neural Portrait RadianceField from Multi-mirror Catadioptric Imaging
Ziyu Wang, Liao Wang, Fuqiang Zhao, Minye Wu, Lan Xu, Jingyi Yu
http://arxiv.org/abs/2104.02607v1

• [cs.CV]Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting
Xin Wang, Yang Zhao, Tangwen Yang, Qiuqi Ruan
http://arxiv.org/abs/2104.02245v1

• [cs.CV]Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo
Jiahao Lin, Gim Hee Lee
http://arxiv.org/abs/2104.02273v1

• [cs.CV]Multi-hierarchical Convolutional Network for Efficient Remote Photoplethysmograph Signal and Heart Rate Estimation from Face Video Clips
Panpan Zhang, Bin Li, Jinye Peng, Wei Jiang
http://arxiv.org/abs/2104.02260v1

• [cs.CV]Multiple instance active learning for object detection
Tianning Yuan, Fang Wan, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji, Qixiang Ye
http://arxiv.org/abs/2104.02324v1

• [cs.CV]Neural Feature Search for RGB-Infrared Person Re-Identification
Yehansen Chen, Lin Wan, Zhihang Li, Qianyan Jing, Zongyuan Sun
http://arxiv.org/abs/2104.02366v1

• [cs.CV]Objects are Different: Flexible Monocular 3D Object Detection
Yunpeng Zhang, Jiwen Lu, Jie Zhou
http://arxiv.org/abs/2104.02323v1

• [cs.CV]One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
http://arxiv.org/abs/2104.02246v1

• [cs.CV]ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement
Yuval Alaluf, Or Patashnik, Daniel Cohen-Or
http://arxiv.org/abs/2104.02699v1

• [cs.CV]SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation
Jiabin Zhang, Zheng Zhu, Jiwen Lu, Junjie Huang, Guan Huang, Jie Zhou
http://arxiv.org/abs/2104.02486v1

• [cs.CV]Scene Graph Embeddings Using Relative Similarity Supervision
Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay
http://arxiv.org/abs/2104.02381v1

• [cs.CV]Strumming to the Beat: Audio-Conditioned Contrastive Video Textures
Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell
http://arxiv.org/abs/2104.02687v1

• [cs.CV]Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition
Hardik Uppal, Alireza Sepas-Moghaddam, Michael Greenspan, Ali Etemad
http://arxiv.org/abs/2104.02424v1

• [cs.CV]Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images
Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar, Jean-Philippe Thiran
http://arxiv.org/abs/2104.02663v1

• [cs.CV]Uncertainty-aware Joint Salient Object and Camouflaged Object Detection
Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai
http://arxiv.org/abs/2104.02628v1

• [cs.CV]Unified Detection of Digital and Physical Face Attacks
Debayan Deb, Xiaoming Liu, Anil K. Jain
http://arxiv.org/abs/2104.02156v1

• [cs.CV]Variational Transformer Networks for Layout Generation
Diego Martin Arroyo, Janis Postels, Federico Tombari
http://arxiv.org/abs/2104.02416v1

• [cs.CV]Visual Alignment Constraint for Continuous Sign Language Recognition
Yuecong Min, Aiming Hao, Xiujuan Chai, Xilin Chen
http://arxiv.org/abs/2104.02330v1

• [cs.CV]Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision
Mehmet Ozgur Turkoglu, Eric Brachmann, Konrad Schindler, Gabriel Brostow, Aron Monszpart
http://arxiv.org/abs/2104.02538v1

• [cs.CV]Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael Greenspan
http://arxiv.org/abs/2104.02527v1

• [cs.CV]Weakly Supervised Video Salient Object Detection
Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han
http://arxiv.org/abs/2104.02391v1

• [cs.CV]Weakly supervised segmentation with cross-modality equivariant constraints
Gaurav Patel, Jose Dolz
http://arxiv.org/abs/2104.02488v1

• [cs.CV]When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes
Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman
http://arxiv.org/abs/2104.02215v1

• [cs.CV]White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks
Meghna P Ayyar, Jenny Benois-Pineau, Akka Zemmari
http://arxiv.org/abs/2104.02548v1

• [cs.CV]gradSim: Differentiable simulation for system identification and visuomotor control
Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jerome Parent-Levesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler
http://arxiv.org/abs/2104.02646v1

• [cs.CY]Future of work: ethics
David Pastor-Escuredo
http://arxiv.org/abs/2104.02580v1

• [cs.DC]Rearchitecting Kubernetes for the Edge
Andrew Jeffery, Heidi Howard, Richard Mortier
http://arxiv.org/abs/2104.02423v1

• [cs.DC]Towards a Computing Platform for the LEO Edge
Tobias Pfandzelter, Jonathan Hasenburg, David Bermbach
http://arxiv.org/abs/2104.02396v1

• [cs.DC]Zeus: Locality-aware Distributed Transactions
Antonios Katsarakis, Yijun Ma, Zhaowei Tan, Andrew Bainbridge, Matthew Balkwill, Aleksandar Dragojevic, Boris Grot, Bozidar Radunovic, Yongguang Zhang
http://arxiv.org/abs/2104.01327v2

• [cs.GR]AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control
Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, Angjoo Kanazawa
http://arxiv.org/abs/2104.02180v1

• [cs.HC]VR Hackathon with Goethe Institute: Lessons Learned from Organizing a Transdisciplinary VR Hackathon
Wiesław Kopeć, Krzysztof Kalinowski, Monika Kornacka, Kinga Skorupska, Julia Paluch, Anna Jaskulska, Grzegorz Pochwatko, Jakub Możaryn, Paweł Kobyliński, Piotr Gago
http://arxiv.org/abs/2104.02100v1

• [cs.IR]CANS-Net: Context-Aware Non-Successive Modeling Network for Next Point-of-Interest Recommendation
Qiang Cui, Yafeng Zhang, Jinpeng Wang
http://arxiv.org/abs/2104.02262v1

• [cs.IR]Query2Prod2Vec Grounded Word Embeddings for eCommerce
Federico Bianchi, Jacopo Tagliabue, Bingqing Yu
http://arxiv.org/abs/2104.02061v1

• [cs.IT]Improving Cell-Free Massive MIMO by Local Per-Bit Soft Detection
Carmen D’Andrea, Erik G. Larsson
http://arxiv.org/abs/2104.02498v1

• [cs.IT]LiFi Through Intelligent Reflecting Surfaces: A New Frontier for 6G?
Hanaa Abumarshoud, Lina Mohjazi, Muhammad Ali Imran, Harald Haas
http://arxiv.org/abs/2104.02390v1

• [cs.IT]On Performance Loss of DOA Measurement Using Massive MIMO Receiver with Mixed-ADCs
Baihua Shi, Lingling Zhu, Wenlong Cai, Nuo Chen, Tong Shen, Pengcheng Zhu, Feng Shu, Jiangzhou Wang
http://arxiv.org/abs/2104.02447v1

• [cs.IT]SimMBM Channel Simulator for Media-Based Modulation Systems
Zehra Yigit, Ertugrul Basar, Ibrahim Altunbas
http://arxiv.org/abs/2104.02336v1

• [cs.IT]Some comments about CRC selection for the 5G NR specification
Tsonka Baicheva, Peter Kazakov, Miroslav Dimitrov
http://arxiv.org/abs/2104.02639v1

• [cs.IT]Two modifications for Loidreau’s code-based cryptosystem
Wenshuo Guo, Fangwei Fu
http://arxiv.org/abs/2104.02254v1

• [cs.LG]A Concise Review of Transfer Learning
Abolfazl Farahani, Behrouz Pourshojae, Khaled Rasheed, Hamid R. Arabnia
http://arxiv.org/abs/2104.02144v1

• [cs.LG]A Latent space solver for PDE generalization
Rishikesh Ranade, Chris Hill, Haiyang He, Amir Maleki, Jay Pathak
http://arxiv.org/abs/2104.02452v1

• [cs.LG]A New Parallel Adaptive Clustering and its Application to Streaming Data
Benjamin McLaughlin, Sung Ha Kang
http://arxiv.org/abs/2104.02680v1

• [cs.LG]A data-driven personalized smart lighting recommender system
Atousa Zarindast, Jonathan Wood, Anuj Sharma
http://arxiv.org/abs/2104.02164v1

• [cs.LG]A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays
Malte J. Rasch, Diego Moreda, Tayfun Gokmen, Manuel Le Gallo, Fabio Carta, Cindy Goldberg, Kaoutar El Maghraoui, Abu Sebastian, Vijay Narayanan
http://arxiv.org/abs/2104.02184v1

• [cs.LG]A novel activity pattern generation incorporating deep learning for transport demand models
Danh T. Phan, Hai L. Vu
http://arxiv.org/abs/2104.02278v1

• [cs.LG]An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network
Anh Nguyen, Khoa Pham, Dat Ngo, Thanh Ngo, Lam Pham
http://arxiv.org/abs/2104.02523v1

• [cs.LG]Balancing Predictive Relevance of Ligand Biochemical Activities
Marek Pecha
http://arxiv.org/abs/2104.02307v1

• [cs.LG]Beyond Categorical Label Representations for Image Classification
Boyuan Chen, Yu Li, Sunand Raghupathi, Hod Lipson
http://arxiv.org/abs/2104.02226v1

• [cs.LG]Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle
http://arxiv.org/abs/2104.02638v1

• [cs.LG]Contrastive Explanations for Explaining Model Adaptations
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
http://arxiv.org/abs/2104.02459v1

• [cs.LG]Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning
Haritha Jayasinghe, Tarindu Jayatilaka, Ravin Gunawardena, Uthayasanker Thayasivam
http://arxiv.org/abs/2104.02661v1

• [cs.LG]Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor
http://arxiv.org/abs/2104.02151v1

• [cs.LG]Enhancing the Diversity of Predictions Combination by Negative Correlation Learning
Yun Bai, Ganglin Tian, Yanfei Kang, Suling Jia
http://arxiv.org/abs/2104.02317v1

• [cs.LG]Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, M. Tanveer, P. N. Suganthan**
http://arxiv.org/abs/2104.02395v1

• [cs.LG]Generalization of GANs under Lipschitz continuity and data augmentation
Khoat Than, Nghia Vu
http://arxiv.org/abs/2104.02388v1

• [cs.LG]Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu
http://arxiv.org/abs/2104.02228v1

• [cs.LG]Identity and Posture Recognition in Smart Beds with Deep Multitask Learning
Vandad Davoodnia, Ali Etemad
http://arxiv.org/abs/2104.02159v1

• [cs.LG]IoT Security: Botnet detection in IoT using Machine learning
Satish Pokhrel, Robert Abbas, Bhulok Aryal
http://arxiv.org/abs/2104.02231v1

• [cs.LG]Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks
Claudio Bellei, Hussain Alattas, Nesrine Kaaniche
http://arxiv.org/abs/2104.02153v1

• [cs.LG]Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks
Joachim Schreurs, Hannes De Meulemeester, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens
http://arxiv.org/abs/2104.02373v1

• [cs.LG]MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage
Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros
http://arxiv.org/abs/2104.02411v1

• [cs.LG]Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning
Jeong Min Lee, Milos Hauskrecht
http://arxiv.org/abs/2104.01787v2

• [cs.LG]Noise Estimation for Generative Diffusion Models
Robin San-Roman, Eliya Nachmani, Lior Wolf
http://arxiv.org/abs/2104.02600v1

• [cs.LG]On the Basis of Sex: A Review of Gender Bias in Machine Learning Applications
Tal Feldman, Ashley Peake
http://arxiv.org/abs/2104.02532v1

• [cs.LG]On the Optimality of Batch Policy Optimization Algorithms
Chenjun Xiao, Yifan Wu, Tor Lattimore, Bo Dai, Jincheng Mei, Lihong Li, Csaba Szepesvari, Dale Schuurmans
http://arxiv.org/abs/2104.02293v1

• [cs.LG]Physics-Informed Neural Nets-based Control
Eric Aislan Antonelo, Eduardo Camponogara, Laio Oriel Seman, Eduardo Rehbein de Souza, Jean P. Jordanou, Jomi F. Hubner
http://arxiv.org/abs/2104.02556v1

• [cs.LG]Point classification with Runge-Kutta networks and feature space augmentation
Elisa Giesecke, Axel Kröner
http://arxiv.org/abs/2104.02369v1

• [cs.LG]RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications
Ole Schumann, Markus Hahn, Nicolas Scheiner, Fabio Weishaupt, Julius F. Tilly, Jürgen Dickmann, Christian Wöhler
http://arxiv.org/abs/2104.02493v1

• [cs.LG]Robust Classification Under $今日学术视野(2021.4.8) - 图4$ Attack for the Gaussian Mixture Model
Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
http://arxiv.org/abs/2104.02189v1

• [cs.LG]Segmentation of EM showers for neutrino experiments with deep graph neural networks
Vladislav Belavin, Ekaterina Trofimova, Andrey Ustyuzhanin
http://arxiv.org/abs/2104.02040v2

• [cs.LG]Semi-Supervised Clustering with Inaccurate Pairwise Annotations
Daniel Gribel, Michel Gendreau, Thibaut Vidal
http://arxiv.org/abs/2104.02146v1

• [cs.LG]Shapley Explanation Networks
Rui Wang, Xiaoqian Wang, David I. Inouye
http://arxiv.org/abs/2104.02297v1

• [cs.LG]Spatio-Temporal Graph Convolutional Networks for Road Network Inundation Status Prediction during Urban Flooding
Faxi Yuan, Yuanchang Xu, Qingchun Li, Ali Mostafavi
http://arxiv.org/abs/2104.02276v1

• [cs.LG]Structured Citation Trend Prediction Using Graph Neural Networks
Daniel Cummings, Marcel Nassar
http://arxiv.org/abs/2104.02562v1

• [cs.LG]TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT
Hamed F. Langroudi, Vedant Karia, Tej Pandit, Dhireesha Kudithipudi
http://arxiv.org/abs/2104.02233v1

• [cs.LG]Taming Adversarial Robustness via Abstaining
Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti
http://arxiv.org/abs/2104.02334v1

• [cs.LG]The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
http://arxiv.org/abs/2104.02710v1

• [cs.LG]Understanding Medical Conversations: Rich Transcription, Confidence Scores & Information Extraction
Hagen Soltau, Mingqiu Wang, Izhak Shafran, Laurent El Shafey
http://arxiv.org/abs/2104.02219v1

• [cs.LG]Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal
Ido Greenberg, Shie Mannor, Netanel Yannay
http://arxiv.org/abs/2104.02372v1

• [cs.LG]mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding
Xinyi Zhang, Lihui Chen
http://arxiv.org/abs/2104.02433v1

• [cs.NE]The Tangent Search Algorithm for Solving Optimization Problems
Abdesslem Layeb
http://arxiv.org/abs/2104.02559v1

• [cs.NI]A Distributed Virtual Network Function Placement Approach in Satellite Edge and Cloud Computing
Xiangqiang Gao, Rongke Liu, Aryan Kaushik
http://arxiv.org/abs/2104.02421v1

• [cs.NI]Software Defined Edge Computing for Distributed Management and Scalable Control in IoT Multinetworks
Di Wu, Xiang Nie, Hanhui Deng, Zhijin Qin
http://arxiv.org/abs/2104.02426v1

• [cs.NI]Towards Soft Circuit Breaking in Service Meshes via Application-agnostic Caching
Lars Larsson, William Tärneberg, Cristian Klein, Maria Kihl, Erik Elmroth
http://arxiv.org/abs/2104.02463v1

• [cs.PL]A Review of Formal Methods applied to Machine Learning
Caterina Urban, Antoine Miné
http://arxiv.org/abs/2104.02466v1

• [cs.RO]Admissible heuristics for obstacle clearance optimization objectives
Marlin P. Strub, Jonathan D. Gammell
http://arxiv.org/abs/2104.02298v1

• [cs.RO]Attribute-Based Robotic Grasping with One-Grasp Adaptation
Yang Yang, Yuanhao Liu, Hengyue Liang, Xibai Lou, Changhyun Choi
http://arxiv.org/abs/2104.02271v1

• [cs.RO]Control of a Tail-Sitter VTOL UAV Based on Recurrent Neural Networks
Jinni Zhou, Hao Xu, Zexiang Li, Shaojie Shen, Fu Zhang
http://arxiv.org/abs/2104.02108v1

• [cs.RO]Dynamic-Aware Autonomous Exploration in Populated Environments
Valentina Cavinato, Thomas Eppenberger, Dina Youakim, Roland Siegwart, Renaud Dubé
http://arxiv.org/abs/2104.02696v1

• [cs.RO]Exploring Consequential Robot Sound: Should We Make Robots Quiet and Kawaii-et?
Brian J. Zhang, Knut Peterson, Christopher A. Sanchez, Naomi T. Fitter
http://arxiv.org/abs/2104.02191v1

• [cs.RO]General Robot Dynamics Learning and Gen2Real
Dengpeng Xing, Jiale Li, Yiming Yang, Bo Xu
http://arxiv.org/abs/2104.02402v1

• [cs.RO]Hey Robot, Which Way Are You Going? Nonverbal Motion Legibility Cues for Human-Robot Spatial Interaction
Nicholas J. Hetherington, Elizabeth A. Croft, H. F. Machiel Van der Loos
http://arxiv.org/abs/2104.02275v1

• [cs.RO]Mobile Robot Yielding Cues for Human-Robot Spatial Interaction
Nicholas J. Hetherington, Ryan Lee, Marlene Haase, Elizabeth A. Croft, H. F. Machiel Van der Loos
http://arxiv.org/abs/2104.02279v1

• [cs.RO]Multi-Robot Pickup and Delivery via Distributed Resource Allocation
Andrea Camisa, Andrea Testa, Giuseppe Notarstefano
http://arxiv.org/abs/2104.02415v1

• [cs.RO]WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments
Uche Onyekpe, Vasile Palade, Anuradha Herath, Stratis Kanarachos, Michael E. Fitzpatrick, Stavros-Richard G. Christopoulos
http://arxiv.org/abs/2104.02581v1

• [cs.SD]Binary Neural Network for Speaker Verification
Tinglong Zhu, Xiaoyi Qin, Ming Li
http://arxiv.org/abs/2104.02306v1

• [cs.SD]Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model
Apoorv Vyas, Srikanth Madikeri, Hervé Bourlard
http://arxiv.org/abs/2104.02558v1

• [cs.SD]Dissecting User-Perceived Latency of On-Device E2E Speech Recognition
Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer
http://arxiv.org/abs/2104.02207v1

• [cs.SD]Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios
Jay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer
http://arxiv.org/abs/2104.02232v1

• [cs.SD]MuSLCAT: Multi-Scale Multi-Level Convolutional Attention Transformer for Discriminative Music Modeling on Raw Waveforms
Kai Middlebrook, Shyam Sudhakaran, David Guy Brizan
http://arxiv.org/abs/2104.02309v1

• [cs.SD]Optimal Transport-based Adaptation in Dysarthric Speech Tasks
Rosanna Turrisi, Leonardo Badino
http://arxiv.org/abs/2104.02535v1

• [cs.SD]Streaming Multi-talker Speech Recognition with Joint Speaker Identification
Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong
http://arxiv.org/abs/2104.02109v1

• [cs.SE]Automated Performanc
552b
e Testing Based on Active Deep Learning
Ali Sedaghatbaf, Mahshid Helali Moghadam, Mehrdad Saadatmand
http://arxiv.org/abs/2104.02102v1

• [cs.SE]CodeTrans: Towards Cracking the Language of Silicone’s Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar, Wei Ding, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Silvia Severini, Florian Matthes, Burkhard Rost
http://arxiv.org/abs/2104.02443v1

• [cs.SE]Global Software Engineering in the Age of GitHub and Zoom
James Herbsleb
http://arxiv.org/abs/2104.02592v1

• [cs.SE]Using Voice and Biofeedback to Predict User Engagement during Requirements Interviews
Alessio Ferrari, Thaide Huichapa, Paola Spoletini, Nicole Novielli, Davide Fucci, Daniela Girardi
http://arxiv.org/abs/2104.02410v1

• [cs.SI]Calibratable Hetero-NodeRank for measuring node influence
Qiwei Ma, Zhaoya Gong
http://arxiv.org/abs/2104.02666v1

• [cs.SI]Framework for Inferring Leadership Dynamics of Complex Movement from Time Series
Chainarong Amornbunchornvej, Tanya Berger-Wolf
http://arxiv.org/abs/2104.02291v1

• [cs.SY]Robust Tube-Based Decentralized Nonlinear Model Predictive Control of an Autonomous Tractor-Trailer System
Erkan Kayacan, Erdal Kayacan, Herman Ramon, Wouter Saeys
http://arxiv.org/abs/2104.02063v1

• [eess.AS]End-to-End Speaker-Attributed ASR with Transformer
Naoyuki Kanda, Guoli Ye, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Zhuo Chen, Takuya Yoshioka
http://arxiv.org/abs/2104.02128v1

• [eess.AS]LT-LM: a novel non-autoregressive language model for single-shot lattice rescoring
Anton Mitrofanov, Mariya Korenevskaya, Ivan Podluzhny, Yuri Khokhlov, Aleksandr Laptev, Andrei Andrusenko, Aleksei Ilin, Maxim Korenevsky, Ivan Medennikov, Aleksei Romanenko
http://arxiv.org/abs/2104.02526v1

• [eess.AS]NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
Junhyeok Lee, Seungu Han
http://arxiv.org/abs/2104.02321v1

• [eess.AS]ProsoBeast Prosody Annotation Tool
Branislav Gerazov, Michael Wagner
http://arxiv.org/abs/2104.02397v1

• [eess.AS]Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification System
Roza Chojnacka, Jason Pelecanos, Quan Wang, Ignacio Lopez Moreno
http://arxiv.org/abs/2104.02125v1

• [eess.AS]Speaker Diarization using Two-pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings
Kiran Karra, Alan Mccree
http://arxiv.org/abs/2104.02469v1

• [eess.AS]Speaker embeddings by modeling channel-wise correlations
Themos Stafylakis, Johan Rohdin, Lukas Burget
http://arxiv.org/abs/2104.02571v1

• [eess.IV]A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs
Ngoc Huy Nguyen, Ha Quy Nguyen, Nghia Trung Nguyen, Thang Viet Nguyen, Hieu Huy Pham, Tuan Ngoc-Minh Nguyen
http://arxiv.org/abs/2104.02256v1

• [eess.IV]Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model
Yuhao Zhang, Shuhang Wang, Haoxiang Wu, Kejia Hu, Shufan Ji
http://arxiv.org/abs/2104.02331v1

• [eess.IV]In-Line Image Transformations for Imbalanced, Multiclass Computer Vision Classification of Lung Chest X-Rays
Alexandrea K. Ramnarine
http://arxiv.org/abs/2104.02238v1

• [eess.IV]Insight about Detection, Prediction and Weather Impact of Coronavirus (Covid-19) using Neural Network
A K M Bahalul Haque, Tahmid Hasan Pranto, Abdulla All Noman, Atik Mahmood
http://arxiv.org/abs/2104.02173v1

• [eess.IV]Pyramid U-Net for Retinal Vessel Segmentation
Jiawei Zhang, Yanchun Zhang, Xiaowei Xu
http://arxiv.org/abs/2104.02333v1

• [eess.IV]Searching Efficient Model-guided Deep Network for Image Denoising
Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi
http://arxiv.org/abs/2104.02525v1

• [eess.IV]Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs
Dongkyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park
http://arxiv.org/abs/2104.02326v1

• [eess.SP]Distributed Deep Reinforcement Learning for Collaborative Spectrum Sharing
Pranav M. Pawar, Amir Leshem
http://arxiv.org/abs/2104.02059v1

• [eess.SY]Adaptive Variants of Optimal Feedback Policies
Brett T. Lopez, Jean-Jacques E. Slotine
http://arxiv.org/abs/2104.02709v1

• [eess.SY]Fast Design Space Exploration of Nonlinear Systems: Part II
Prerit Terway, Kenza Hamidouche, Niraj K. Jha
http://arxiv.org/abs/2104.02464v1

• [eess.SY]Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns
A. Sadik Satir, Umut Demir, Gulay Goktas Sever, N. Kemal Ure
http://arxiv.org/abs/2104.02491v1

• [eess.SY]Particle MPC for Uncertain and Learning-Based Control
Robert Dyro, James Harrison, Apoorva Sharma, Marco Pavone
http://arxiv.org/abs/2104.02213v1

• [hep-ph]Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection
Jack H. Collins, Pablo Martín-Ramiro, Benjamin Nachman, Benjamin Nachman
http://arxiv.org/abs/2104.02092v1

• [math.NA]Hardware-Oriented Krylov Methods for High-Performance Computing
Nils-Arne Dreier
http://arxiv.org/abs/2104.02494v1

• [math.OC]A Caputo fractional derivative-based algorithm for optimization
Yeonjong Shin, Jérôme Darbon, George Em Karniadakis
http://arxiv.org/abs/2104.02259v1

• [math.OC]Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization
Huan Li, Zhouchen Lin
http://arxiv.org/abs/2104.02596v1

• [math.OC]Solving Large Scale Quadratic Constrained Basis Pursuit
Jirong Yi
http://arxiv.org/abs/2104.02475v1

• [math.PR]Which Sampling Densities are Suitable for Spectral Clustering on Unbounded Domains?
Henry-Louis de Kergorlay
http://arxiv.org/abs/2104.02147v1

• [math.ST]A non-asymptotic penalization criterion for model selection in mixture of experts models
TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Florence Forbes
http://arxiv.org/abs/2104.02640v1

• [math.ST]Counterexamples to the classical Central Limit Theorem for triplewise independent random variables having a common arbitrary margin
Guillaume Boglioni Beaulieu, Pierre Lafaye de Micheaux, Frédéric Ouimet
http://arxiv.org/abs/2104.02292v1

• [math.ST]Large factor model estimation by nuclear norm plus $今日学术视野(2021.4.8) - 图5$ norm penalization
Matteo Farnè, Angela Montanari
http://arxiv.org/abs/2104.02422v1

• [math.ST]Nonparametric needlet estimation for partial derivatives of a probability density function on the $今日学术视野(2021.4.8) - 图6$ -torus
Claudio Durastanti, Nicola Turchi
http://arxiv.org/abs/2104.02427v1

• [math.ST]Statistical Limits of Sparse Mixture Detection
Subhodh Kotekal
http://arxiv.org/abs/2104.02507v1

• [physics.soc-ph]Inferring Network Structures via Signal Lasso
Lei Shi, Chen Shen, Libin Jin, Qi Shi, Zhen Wang, Marko Jusup, Stefano Boccaletti
http://arxiv.org/abs/2104.02320v1

• [stat.AP]Clustering Students and Inferring Skill Set Profiles with Skill Hierarchies
Alan Mishler, Rebecca Nugent
http://arxiv.org/abs/2104.02237v1

• [stat.AP]Modelling Animal-Vehicle Collision Counts across Large Networks Using a Bayesian Hierarchical Model with Time-Varying Parameters
Krishna Murthy Gurumurthy, Zili Li, Kara M. Kockelman, Prateek Bansal
http://arxiv.org/abs/2104.02289v1

• [stat.AP]The survival-incorporated median versus the median in the survivors or in the always-survivors: What are we measuring? And why?
Qingyan Xiang, Ronald J. Bosch, Judith J. Lok
http://arxiv.org/abs/2104.02126v1

• [stat.CO]Statistical Network Analysis with Bergm
Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel
http://arxiv.org/abs/2104.02444v1

• [stat.ME]A new weighting method when not all the events are selected as cases in a nested case-control study
Qian M. Zhou, Xuan Wang, Yingye Zheng, Tianxi Cai
http://arxiv.org/abs/2104.02665v1

• [stat.ME]Constrained Parameterization of Reduced Rank and Co-integrated Vector Autoregression
Anindya Roy, Tucker S. McElroy
http://arxiv.org/abs/2104.02698v1

• [stat.ME]Forecasting intra-individual changes of affective states taking into account inter-individual differences using intensive longitudinal data from a university student drop out study in math
Augustin Kelava, Pascal Kilian, Judith Glaesser, Samuel Merk, Holger Brandt
http://arxiv.org/abs/2104.02383v1

• [stat.ME]Generation of new exciting regressors for consistent on-line estimation for a scalar parameter
Alexey Bobtsov, Bowen Yi, Romeo Ortega, Alessandro Astolfi
http://arxiv.org/abs/2104.02210v1

• [stat.ME]Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
Chenchen Ma, Gongjun Xu
http://arxiv.org/abs/2104.02143v1

• [stat.ME]Locally Adaptive Smoothing for Functional Data
Tomoya Wakayama, Shonosuke Sugasawa
http://arxiv.org/abs/2104.02456v1

• [stat.ME]Objective Bayesian meta-analysis based on generalized multivariate random effects model
Olha Bodnar, Taras Bodnar
http://arxiv.org/abs/2104.02105v1

• [stat.ME]Semi-supervised empirical Bayes group-regularized factor regression
Magnus M. Münch, Mark A. van de Wiel, Aad W. van der Vaart, Carel F. W. Peeters
http://arxiv.org/abs/2104.02419v1

• [stat.ME]Spectral Subsampling MCMC for Stationary Multivariate Time Series
Mattias Villani, Matias Quiroz, Robert Kohn, Robert Salomone
http://arxiv.org/abs/2104.02134v1

• [stat.ML]A Novel Approach for Semiconductor Etching Process with Inductive Biases
Sanghoon Myung, Hyunjae Jang, Byungseon Choi, Jisu Ryu, Hyuk Kim, Sang Wuk Park, Changwook Jeong, Dae Sin Kim
http://arxiv.org/abs/2104.02468v1

• [stat.ML]Deep learning for prediction of complex geology ahead of drilling
Kristian Fossum, Sergey Alyaev, Jan Tveranger, Ahmed Elsheikh
http://arxiv.org/abs/2104.02550v1

• [stat.ML]Deep neural network approximation of analytic functions
Aleksandr Beknazaryan
http://arxiv.org/abs/2104.02095v1

• [stat.ML]Model-data-driven constitutive responses: application to a multiscale computational framework
Jan Niklas Fuhg, Christoph Boehm, Nikolaos Bouklas, Amelie Fau, Peter Wriggers, Michele Marino
http://arxiv.org/abs/2104.02650v1

• [stat.ML]Nonlinear model reduction for slow-fast stochastic systems near manifolds
Felix X. -F. Ye, Sichen Yang, Mauro Maggioni
http://arxiv.org/abs/2104.02120v1

• [stat.ML]Revisiting Rashomon: A Comment on “The Two Cultures”
Alexander D’Amour
http://arxiv.org/abs/2104.02150v1

• [stat.ML]Survey of Imbalanced Data Methodologies
Lian Yu, Nengfeng Zhou
http://arxiv.org/abs/2104.02240v1

• [stat.ML]deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression
David Rügamer, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Nadja Klein, Chris Kolb, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Christian L. Müller
http://arxiv.org/abs/2104.02705v1