astro-ph.IM - 仪器仪表和天体物理学方法
cs.NE - 神经与进化计算 cond-mat.mtrl-sci - 材料科学 cs.AI - 人工智能 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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.NT - 数论 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.chem-ph -化学物理 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Variational Inference for Deblending Crowded Starfields
• [c
bf4
s.NE]Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions
• [cond-mat.mtrl-sci]An efficient optimization based microstructure reconstruction approach with multiple loss functions
• [cs.AI]A Possible Artificial Intelligence Ecosystem Avatar: the Moorea case (IDEA)
• [cs.AI]Causal Sufficiency and Actual Causation
• [cs.AI]Egalitarian Judgment Aggregation
• [cs.AI]Exploring Scale-Measures of Data Sets
• [cs.AI]Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection
• [cs.AI]Persistent Rule-based Interactive Reinforcement Learning
• [cs.AI]Triadic Exploration and Exploration with Multiple Experts
• [cs.CL]Adaptive Semiparametric Language Models
• [cs.CL]Bangla Text Dataset and Exploratory Analysis for Online Harassment Detection
• [cs.CL]Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords
• [cs.CL]Controlling Hallucinations at Word Level in Data-to-Text Generation
• [cs.CL]Converse, Focus and Guess — Towards Multi-Document Driven Dialogue
• [cs.CL]Data-to-text Generation with Macro Planning
• [cs.CL]Incremental Beam Manipulation for Natural Language Generation
• [cs.CL]One Size Does Not Fit All: Finding the Optimal N-gram Sizes for FastText Models across Languages
• [cs.CL]Self-Supervised Claim Identification for Automated Fact Checking
• [cs.CL]Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
• [cs.CL]Unifying Vision-and-Language Tasks via Text Generation
• [cs.CR]An Empirical Analysis of Implementing Enterprise Blockchain Protocols in Supply Chain Anti-Counterfeiting and Traceability
• [cs.CR]ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
• [cs.CR]Provably Secure Federated Learning against Malicious Clients
• [cs.CR]SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation
• [cs.CV]3D Surface Reconstruction From Multi-Date Satellite Images
• [cs.CV]A Deeper Look into Convolutions via Pruning
• [cs.CV]ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images
• [cs.CV]Active Boundary Loss for Semantic Segmentation
• [cs.CV]CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval
• [cs.CV]Computational identification of significant actors in paintings through symbols and attributes
• [cs.CV]DEFT: Detection Embeddings for Tracking
• [cs.CV]Deep Face Fuzzy Vault: Implementation and Performance
• [cs.CV]Designing an Encoder for StyleGAN Image Manipulation
• [cs.CV]Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography
• [cs.CV]Environment Predictive Coding for Embodied Agents
• [cs.CV]Im2Vec: Synthesizing Vector Graphics without Vector Supervision
• [cs.CV]Image Restoration by Deep Projected GSURE
• [cs.CV]Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
• [cs.CV]Mask guided attention for fine-grained patchy image classification
• [cs.CV]MeInGame: Create a Game Character Face from a Single Portrait
• [cs.CV]Multi-Stage Progressive Image Restoration
• [cs.CV]One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision
• [cs.CV]Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
• [cs.CV]Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products
• [cs.CV]ProxyFAUG: Proximity-based Fingerprint Augmentation
• [cs.CV]RoI Tanh-polar Transformer Network for Face Parsing in the Wild
• [cs.CV]SelfNorm and CrossNorm for Out-of-Distribution Robustness
• [cs.CV]Semi-Supervised Action Recognition with Temporal Contrastive Learning
• [cs.CY]Insiders and Outsiders in Research on Machine Learning and Society
• [cs.DB]Materializing Knowledge Bases via Trigger Graphs
• [cs.DB]Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
• [cs.DC]Function Delivery Network: Extending Serverless Computing for Heterogeneous Platforms
• [cs.DC]HiCOPS: High Performance Computing Framework for Tera-Scale Database Search of Mass Spectrometry based Omics Data
• [cs.DC]Parallelware Tools: An Experimental Evaluation on POWER Systems
• [cs.HC]Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication
• [cs.IR]Causal Collaborative Filtering
• [cs.IR]Deep Autoencoder-based Fuzzy C-Means for Topic Detection
• [cs.IR]Dual-embedding based Neural Collaborative Filtering for Recommender Systems
• [cs.IR]Harvest — An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums
• [cs.IT]A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching
• [cs.IT]A Practical Coding Scheme for the BSC with Feedback
• [cs.IT]Bounds and Genericity of Sum-Rank-Metric Codes
• [cs.IT]Continuous Random Variable Estimation is not Optimal for the Witsenhausen Counterexample
• [cs.IT]Cumulant Expansion of Mutual Information for Quantifying Leakage of a Protected Secret
• [cs.IT]Decoding Reed-Solomon codes by solving a bilinear system with a Gröbner basis approach
• [cs.IT]Decoding of Space-Symmetric Rank Errors
• [cs.IT]Federated mmWave Beam Selection Utilizing LIDAR Data
• [cs.IT]Feedback Capacity of Parallel ACGN Channels and Kalman Filter: Power Allocation with Feedback
• [cs.IT]First- and Second-Moment Constrained Gaussian Channels
• [cs.IT]High-Rate Quantum Private Information Retrieval with Weakly Self-Dual Star Product Codes
• [cs.IT]Improved Communication Efficiency for Distributed Mean Estimation with Side Information
• [cs.IT]Lower Bound on the Optimal Access Bandwidth of ()-MDS Array Code with Degraded Read Friendly
• [cs.IT]Minimizing the alphabet size in codes with restricted error sets
• [cs.IT]Multiple Criss-Cross Deletion-Correcting Codes
• [cs.IT]Non-Symmetric Coded Caching for Location-Dependent Content Delivery
• [cs.IT]On Fading Channel Dependency Structures with a Positive Zero-Outage Capacity
• [cs.IT]On Single-User Interactive Beam Alignment in Millimeter Wave Systems: Impact of Feedback Delay
• [cs.IT]On the Global Optimality of Whittle’s index policy for minimizing the age of information
• [cs.IT]Reconfigurable-intelligent-surface-assisted Downlink Transmission Design via Bayesian Optimization
• [cs.LG]A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
• [cs.LG]Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
• [cs.LG]Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
• [cs.LG]BeFair: Addressing Fairness in the Banking Sector
• [cs.LG]Big Data Analytics Applying the Fusion Approach of Multicriteria Decision Making with Deep Learning Algorithms
• [cs.LG]CKConv: Continuous Kernel Convolution For Sequential Data
• [cs.LG]Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
• [cs.LG]Deep Learning Based Model Identification System Exploits the Modular Structure of a Bio-Inspired Posture Control Model for Humans and Humanoids
• [cs.LG]Digital twins based on bidirectional LSTM and GAN for modelling COVID-19
• [cs.LG]Directive Explanations for Actionable Explainability in Machine Learning Applications
• [cs.LG]Disambiguation of weak supervision with exponential convergence rates
• [cs.LG]Disease Prediction with a Maximum Entropy Method
• [cs.LG]EFloat: Entropy-coded Floating Point Format for Deep Learning
• [cs.LG]Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy
• [cs.LG]FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
• [cs.LG]Federated Learning on Non-IID Data Silos: An Experimental Study
• [cs.LG]Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models
• [cs.LG]HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
• [cs.LG]Hawkes Processes on Graphons
• [cs.LG]Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models
• [cs.LG]Hybrid Adversarial Inverse Reinforcement Learning
• [cs.LG]Hybrid consistency and plausibility verification of product data according to FIC
• [cs.LG]Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym
• [cs.LG]Instance-based learning using the Half-Space Proximal Graph
• [cs.LG]Lookup subnet based Spatial Graph Convolutional neural Network
• [cs.LG]MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
• [cs.LG]Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling
• [cs.LG]Modeling Complex Financial Products
• [cs.LG]Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet Loss
• [cs.LG]Nearest Neighbor-based Importance Weighting
• [cs.LG]Neural Recursive Belief States in Multi-Agent Reinforcement Learning
• [cs.LG]On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function
• [cs.LG]On the Approximation Power of Two-Layer Networks of Random ReLUs
• [cs.LG]Optimised one-class classification performance
• [cs.LG]Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services
• [cs.LG]Provably End-to-end Label-Noise Learning without Anchor Points
• [cs.LG]Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence
• [cs.LG]RECol: Reconstruction Error Columns for Outlier Detection
• [cs.LG]Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning
• [cs.LG]Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
• [cs.LG]Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction
• [cs.LG]The Analysis from Nonlinear Distance Metric to Kernel-based Drug Prescription Prediction System
• [cs.LG]Transfer Learning in Bandits with Latent Continuity
• [cs.LG]Universal Approximation Theorems of Fully Connected Binarized Neural Networks
• [cs.MA]Improved Cooperation by Exploiting a Common Signal
• [cs.NE]Regenerating Soft Robots through Neural Cellular Automata
• [cs.NE]The Enigma of Complexity
• [cs.NI]An efficient linear programming rounding-and-refinement algorithm for large-scale network slicing problem
• [cs.RO]A survey of motion planning algorithms for intelligent robotics
• [cs.RO]An Analysis of International Use of Robots for COVID-19
• [cs.RO]Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models
• [cs.RO]On Multi-Human Multi-Robot Remote Interaction: A Study of Transparency, Inter-Human Communication, and Information Loss in Remote Interaction
• [cs.RO]PHASER: a Robust and Correspondence-free Global Pointcloud Registration
• [cs.RO]Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning
• [cs.RO]The Importance of Models in Data Analysis with Small Human Movement Datasets — Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans
• [cs.RO]Towards Decentralized Human-Swarm Interaction by Means of Sequential Hand Gesture Recognition
• [cs.SD]Audio Adversarial Examples: Attacks Using Vocal Masks
• [cs.SD]Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks
• [cs.SD]Low Bit-Rate Wideband Speech Coding: A Deep Generative Model based Approach
• [cs.SI]Assessing Individual and Community Vulnerability to Fake News in Social Networks
• [cs.SI]AttentionFlow: Visualising Influence in Networks of Time Series
• [eess.IV]DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues
• [eess.IV]Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
• [eess.IV]No-reference denoising of low-dose CT projections
• [eess.IV]TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors
• [eess.SP]A 5 μW Standard Cell Memory-based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing
• [eess.SY]A Heuristic for Dynamic Output Predictive Control Design for Uncertain Nonlinear Systems
• [eess.SY]A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing
• [eess.SY]Barrier Function-based Collaborative Control of Multiple Robots under Signal Temporal Logic Tasks
• [eess.SY]Observability of the relative motion from inertial data in kinematic chains
• [math.NA]A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate
• [math.NA]Wind Field Reconstruction with Adaptive Random Fourier Features
• [math.NT]Linear complexity of some sequences derived from hyperelliptic curves of genus 2
• [math.OC]Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent
• [math.PR]Simulated annealing from continuum to discretization: a convergence analysis via the Eyring—Kramers law
• [math.ST]Sharper Sub-Weibull Concentrations: Non-asymptotic Bai-Yin’s Theorem
• [math.ST]The complex behaviour of Galton rank order statistic
• [physics.chem-ph]A Universal Framework for Featurization of Atomistic Systems
• [physics.med-ph]Deep learning-based synthetic-CT generation in radiotherapy and PET: a review
• [physics.soc-ph]A statistical analysis of death rates in Italy for the years 2015-2020 and a comparison with the casualties reported for the COVID-19 pandemic
• [physics.soc-ph]A survey on modelling of infectious disease spread and control on social contact networks
• [physics.soc-ph]Entropic Dynamics of Networks
• [physics.soc-ph]Mainstreaming of conspiracy theories and misinformation
• [physics.soc-ph]Revealing Critical Characteristics of Mobility Patterns in New York City during the Onset of COVID-19 Pandemic
• [q-bio.GN]OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning
• [q-bio.GN]Towards a reinforcement learning de novo genome assembler
• [quant-ph]An end-to-end trainable hybrid classical-quantum classifier
• [quant-ph]Parametrized Quantum Circuits of Synonymous Sentences in Quantum Natural Language Processing
• [quant-ph]Permutation-invariant quantum coding for quantum deletion channels
• [stat.AP]A Zero-State Coupled Markov Switching Poisson Model for Spatio-temporal Infectious Disease Counts
• [stat.AP]Covid-19 risk factors: Statistical learning from German healthcare claims data
• [stat.AP]Improving the assessment of the probability of success in late stage drug development
• [stat.AP]Variational Bayes survival analysis for unemployment modelling
• [stat.CO]HMC, an Algorithms in Data Mining, the Functional Analysis approach
• [stat.ME]Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings
• [stat.ME]Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach
• [stat.ME]Factor-augmented Smoothing Model for Functional Data
• [stat.ME]Identifying regions of inhomogeneities in spatial processes via an M-RA and mixture priors
• [stat.ME]pcoxtime: Penalized Cox Proportional Hazard Model for Time-dependent Covariates
• [stat.ML]Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types
• [stat.ML]From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling
• [stat.ML]Impossibility of Partial Recovery in the Graph Alignment Problem
• [stat.ML]Invertible DenseNets with Concatenated LipSwish
• [stat.ML]Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
• [stat.ML]Meta-strategy for Learning Tuning Parameters with Guarantees
·····································
• [astro-ph.IM]Variational Inference for Deblending Crowded Starfields
Runjing Liu, Jon D. McAuliffe, Jeffrey Regier
http://arxiv.org/abs/2102.02409v1
• [c
bf4
s.NE]Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions
Eneko Osaba, Aritz D. Martinez, Javier Del Ser
http://arxiv.org/abs/2102.02558v1
• [cond-mat.mtrl-sci]An efficient optimization based microstructure reconstruction approach with multiple loss functions
Anindya Bhaduri, Ashwini Gupta, Audrey Olivier, Lori Graham-Brady
http://arxiv.org/abs/2102.02407v1
• [cs.AI]A Possible Artificial Intelligence Ecosystem Avatar: the Moorea case (IDEA)
Jean-Pierre Barriot, Neil Davies, Benoît Stoll, Sébastien Chabrier, Alban Gabillon
http://arxiv.org/abs/2102.02384v1
• [cs.AI]Causal Sufficiency and Actual Causation
Sander Beckers
http://arxiv.org/abs/2102.02311v1
• [cs.AI]Egalitarian Judgment Aggregation
Sirin Botan, Ronald de Haan, Marija Slavkovik, Zoi Terzopoulou
http://arxiv.org/abs/2102.02785v1
• [cs.AI]Exploring Scale-Measures of Data Sets
Tom Hanika, Johannes Hirth
http://arxiv.org/abs/2102.02576v1
• [cs.AI]Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection
Nguyen Vo, Kyumin Lee
http://arxiv.org/abs/2102.02680v1
• [cs.AI]Persistent Rule-based Interactive Reinforcement Learning
Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
http://arxiv.org/abs/2102.02441v1
• [cs.AI]Triadic Exploration and Exploration with Multiple Experts
Maximilian Felde, Gerd Stumme
http://arxiv.org/abs/2102.02654v1
• [cs.CL]Adaptive Semiparametric Language Models
Dani Yogatama, Cyprien de Masson d’Autume, Lingpeng Kong
http://arxiv.org/abs/2102.02557v1
• [cs.CL]Bangla Text Dataset and Exploratory Analysis for Online Harassment Detection
Md Faisal Ahmed, Zalish Mahmud, Zarin Tasnim Biash, Ahmed Ann Noor Ryen, Arman Hossain, Faisal Bin Ashraf
http://arxiv.org/abs/2102.02478v1
• [cs.CL]Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords
Prashanth Gurunath Shivakumar, Panayiotis Georgiou, Shrikanth Narayanan
http://arxiv.org/abs/2102.02270v1
• [cs.CL]Controlling Hallucinations at Word Level in Data-to-Text Generation
Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari
http://arxiv.org/abs/2102.02810v1
• [cs.CL]Converse, Focus and Guess — Towards Multi-Document Driven Dialogue
Han Liu, Caixia Yuan, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Wang
http://arxiv.org/abs/2102.02435v1
• [cs.CL]Data-to-text Generation with Macro Planning
Ratish Puduppully, Mirella Lapata
http://arxiv.org/abs/2102.02723v1
• [cs.CL]Incremental Beam Manipulation for Natural Language Generation
James Hargreaves, Andreas Vlachos, Guy Emerson
http://arxiv.org/abs/2102.02574v1
• [cs.CL]One Size Does Not Fit All: Finding the Optimal N-gram Sizes for FastText Models across Languages
Vít Novotný, Eniafe Festus Ayetiran, Dávid Lupták, Michal Štefánik, Petr Sojka
http://arxiv.org/abs/2102.02585v1
• [cs.CL]Self-Supervised Claim Identification for Automated Fact Checking
Archita Pathak, Mohammad Abuzar Shaikh, Rohini Srihari
http://arxiv.org/abs/2102.02335v1
• [cs.CL]Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
Alex Tamkin, Miles Brundage, Jack Clark, Deep Ganguli
http://arxiv.org/abs/2102.02503v1
• [cs.CL]Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal
http://arxiv.org/abs/2102.02779v1
• [cs.CR]An Empirical Analysis of Implementing Enterprise Blockchain Protocols in Supply Chain Anti-Counterfeiting and Traceability
Neo C. K. Yiu
http://arxiv.org/abs/2102.02601v1
• [cs.CR]ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
http://arxiv.org/abs/2102.02551v1
• [cs.CR]Provably Secure Federated Learning against Malicious Clients
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
http://arxiv.org/abs/2102.01854v2
• [cs.CR]SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation
Zhuosheng Zhang, Jiarui Li, Shucheng Yu, Christian Makaya
http://arxiv.org/abs/2102.02402v1
• [cs.CV]3D Surface Reconstruction From Multi-Date Satellite Images
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens
http://arxiv.org/abs/2102.02502v1
• [cs.CV]A Deeper Look into Convolutions via Pruning
Ilke Cugu, Emre Akbas
http://arxiv.org/abs/2102.02804v1
• [cs.CV]ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images
Rui Li, Chenxi Duan
http://arxiv.org/abs/2102.02531v1
• [cs.CV]Active Boundary Loss for Semantic Segmentation
Chi Wang, Yunke Zhang, Miaomiao Cui, Jinlin Liu, Peiran Ren, Yin Yang, Xuansong Xie, XianSheng Hua, Hujun Bao, Weiwei Xu
http://arxiv.org/abs/2102.02696v1
• [cs.CV]CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval
Hai X. Pham, Ricardo Guerrero, Jiatong Li, Vladimir Pavlovic
http://arxiv.org/abs/2102.02547v1
• [cs.CV]Computational identification of significant actors in paintings through symbols and attributes
David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths
http://arxiv.org/abs/2102.02732v1
• [cs.CV]DEFT: Detection Embeddings for Tracking
Mohamed Chaabane, Peter Zhang, J. Ross Beveridge, Stephen O’Hara
http://arxiv.org/abs/2102.02267v1
• [cs.CV]Deep Face Fuzzy Vault: Implementation and Performance
Christian Rathgeb, Johannes Merkle, Johanna Scholz, Benjamin Tams, Vanessa Nesterowicz
http://arxiv.org/abs/2102.02458v1
• [cs.CV]Designing an Encoder for StyleGAN Image Manipulation
Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, Daniel Cohen-Or
http://arxiv.org/abs/2102.02766v1
• [cs.CV]Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography
Fatemeh Taheri Dezaki, Christina Luong, Tom Ginsberg, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang
http://arxiv.org/abs/2102.02287v1
• [cs.CV]Environment Predictive Coding for Embodied Agents
Santhosh K. Ramakrishnan, Tushar Nagarajan, Ziad Al-Halah, Kristen Grauman
http://arxiv.org/abs/2102.02337v1
• [cs.CV]Im2Vec: Synthesizing Vector Graphics without Vector Supervision
Pradyumna Reddy, Michael Gharbi, Michal Lukac, Niloy J. Mitra
http://arxiv.org/abs/2102.02798v1
• [cs.CV]Image Restoration by Deep Projected GSURE
Shady Abu-Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes
http://arxiv.org/abs/2102.02485v1
• [cs.CV]Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
http://arxiv.org/abs/2102.02629v1
• [cs.CV]Mask guided attention for fine-grained patchy image classification
Jun Wang, Xiaohan Yu, Yongsheng Gao
http://arxiv.org/abs/2102.02771v1
• [cs.CV]MeInGame: Create a Game Character Face from a Single Portrait
Jiangke Lin, Yi Yuan, Zhengxia Zou
http://arxiv.org/abs/2102.02371v1
• [cs.CV]Multi-Stage Progressive Image Restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao
http://arxiv.org/abs/2102.02808v1
• [cs.CV]One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision
Zaid Khan, Yun Fu
http://arxiv.org/abs/2102.02320v1
• [cs.CV]Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
Yuval Alaluf, Or Patashnik, Daniel Cohen-Or
http://arxiv.org/abs/2102.02754v1
• [cs.CV]Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products
Jérémy Anger, Thibaud Ehret, Gabriele Facciolo
http://arxiv.org/abs/2102.02301v1
• [cs.CV]ProxyFAUG: Proximity-based Fingerprint Augmentation
Grigorios G. Anagnostopoulos, Alexandros Kalousis
http://arxiv.org/abs/2102.02706v1
• [cs.CV]RoI Tanh-polar Transformer Network for Face Parsing in the Wild
Yiming Lin, Jie Shen, Yujiang Wang, Maja Pantic
http://arxiv.org/abs/2102.02717v1
• [cs.CV]SelfNorm and CrossNorm for Out-of-Distribution Robustness
Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris Metaxas
http://arxiv.org/abs/2102.02811v1
• [cs.CV]Semi-Supervised Action Recognition with Temporal Contrastive Learning
Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das
http://arxiv.org/abs/2102.02751v1
• [cs.CY]Insiders and Outsiders in Research on Machine Learning and Society
Yu Tao, Kush R. Varshney
http://arxiv.org/abs/2102.02279v1
• [cs.DB]Materializing Knowledge Bases via Trigger Graphs
Efthymia Tsamoura, David Carral, Enrico Malizia, Jacopo Urbani
http://arxiv.org/abs/2102.02753v1
• [cs.DB]Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
Peiran Yao, Denilson Barbosa
http://arxiv.org/abs/2102.02307v1
• [cs.DC]Function Delivery Network: Extending Serverless Computing for Heterogeneous Platforms
Anshul Jindal, Michael Gerndt, Mohak Chadha, Vladimir Podolskiy, Pengfei Chen
http://arxiv.org/abs/2102.02330v1
• [cs.DC]HiCOPS: High Performance Computing Framework for Tera-Scale Database Search of Mass Spectrometry based Omics Data
Muhammad Haseeb, Fahad Saeed
http://arxiv.org/abs/2102.02286v1
• [cs.DC]Parallelware Tools: An Experimental Evaluation on POWER Systems
Manuel Arenaz, Xavier Martorell
http://arxiv.org/abs/2102.02582v1
• [cs.HC]Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication
F. Gabriele Pratticò, Fabrizio Lamberti, Alberto Cannavò, Lia Morra, Paolo Montuschi
http://arxiv.org/abs/2102.02783v1
• [cs.IR]Causal Collaborative Filtering
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
http://arxiv.org/abs/2102.01868v2
• [cs.IR]Deep Autoencoder-based Fuzzy C-Means for Topic Detection
Hendri Murfi, Natasha Rosaline, Nora Hariadi
http://arxiv.org/abs/2102.02636v1
• [cs.IR]Dual-embedding based Neural Collaborative Filtering for Recommender Systems
Gongshan He, Dongxing Zhao, Lixing Ding
http://arxiv.org/abs/2102.02549v1
• [cs.IR]Harvest — An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums
Albert Weichselbraun, Adrian M. P. Brasoveanu, Roger Waldvogel, Fabian Odoni
http://arxiv.org/abs/2102.02240v1
• [cs.IT]A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching
Xiang Zhang, Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire
http://arxiv.org/abs/2102.01643v2
• [cs.IT]A Practical Coding Scheme for the BSC with Feedback
Ke Wu, Aaron B. Wagner
http://arxiv.org/abs/2102.02358v1
• [cs.IT]Bounds and Genericity of Sum-Rank-Metric Codes
Cornelia Ott, Sven Puchinger, Martin Bossert
http://arxiv.org/abs/2102.02244v1
• [cs.IT]Continuous Random Variable Estimation is not Optimal for the Witsenhausen Counterexample
Maël Le Treust, Tobias Oechtering
http://arxiv.org/abs/2102.02673v1
• [cs.IT]Cumulant Expansion of Mutual Information for Quantifying Leakage of a Protected Secret
Olivier Rioul, Wei Cheng, Sylvain Guilley
http://arxiv.org/abs/2102.02468v1
• [cs.IT]Decoding Reed-Solomon codes by solving a bilinear system with a Gröbner basis approach
Magali Bardet, Rocco Mora, Jean-Pierre Tillich
http://arxiv.org/abs/2102.02544v1
• [cs.IT]Decoding of Space-Symmetric Rank Errors
Thomas Jerkovits, Vladimir Sidorenko, Antonia Wachter-Zeh
http://arxiv.org/abs/2102.02554v1
• [cs.IT]Federated mmWave Beam Selection Utilizing LIDAR Data
Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Tze-Yang Tung, Szymon Kobus, Deniz Gunduz
http://arxiv.org/abs/2102.02802v1
• [cs.IT]Feedback Capacity of Parallel ACGN Channels and Kalman Filter: Power Allocation with Feedback
Song Fang, Quanyan Zhu
http://arxiv.org/abs/2102.02730v1
• [cs.IT]First- and Second-Moment Constrained Gaussian Channels
Shuai Ma, Michèle Wigger
http://arxiv.org/abs/2102.02388v1
• [cs.IT]High-Rate Quantum Private Information Retrieval with Weakly Self-Dual Star Product Codes
Matteo Allaix, Lukas Holzbaur, Tefjol Pllaha, Camilla Hollanti
http://arxiv.org/abs/2102.02511v1
• [cs.IT]Improved Communication Efficiency for Distributed Mean Estimation with Side Information
Kai Liang, Youlong Wu
http://arxiv.org/abs/2102.02525v1
• [cs.IT]Lower Bound on the Optimal Access Bandwidth of ()-MDS Array Code with Degraded Read Friendly
Ting-Yi Wu, Yunghsiang S. Han, Zhengrui Li, Bo Bai, Gong Zhang, Liang Chen, Xiang Wu
http://arxiv.org/abs/2102.02436v1
• [cs.IT]Minimizing the alphabet size in codes with restricted error sets
Mira Gonen, Michael Langberg, Alex Sprintson
http://arxiv.org/abs/2102.02608v1
• [cs.IT]Multiple Criss-Cross Deletion-Correcting Codes
Lorenz Welter, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi
http://arxiv.org/abs/2102.02727v1
• [cs.IT]Non-Symmetric Coded Caching for Location-Dependent Content Delivery
Hamidreza Bakhshzad Mahmoodi, MohammadJavad Salehi, Antti Tölli
http://arxiv.org/abs/2102.02518v1
• [cs.IT]On Fading Channel Dependency Structures with a Positive Zero-Outage Capacity
Karl-Ludwig Besser, Pin-Hsun Lin, Eduard A. Jorswieck
http://arxiv.org/abs/2102.02541v1
• [cs.IT]On Single-User Interactive Beam Alignment in Millimeter Wave Systems: Impact of Feedback Delay
Abbas Khalili, Shahram Shahsavari, Mohammad A. Amir Khojastepour, Elza Erkip
http://arxiv.org/abs/2102.02413v1
• [cs.IT]On the Global Optimality of Whittle’s index policy for minimizing the age of information
Saad Kriouile, Mohamad Assaad, Ali Maatouk
http://arxiv.org/abs/2102.02528v1
• [cs.IT]Reconfigurable-intelligent-surface-assisted Downlink Transmission Design via Bayesian Optimization
Dong Wang, Xiaodong Wang, Fanggang Wang
http://arxiv.org/abs/2102.02430v1
• [cs.LG]A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
Mo Zhou, Rong Ge, Chi Jin
http://arxiv.org/abs/2102.02410v1
• [cs.LG]Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
Dongrui Wu, Weili Fang, Yi Zhang, Liuqing Yang, Hanbin Luo, Lieyun Ding, Xiaodong Xu, Xiang Yu
http://arxiv.org/abs/2102.02729v1
• [cs.LG]Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
Letian Zhang, Lixing Chen, Jie Xu
http://arxiv.org/abs/2102.02638v1
• [cs.LG]BeFair: Addressing Fairness in the Banking Sector
Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel Gonzalez
http://arxiv.org/abs/2102.02137v2
• [cs.LG]Big Data Analytics Applying the Fusion Approach of Multicriteria Decision Making with Deep Learning Algorithms
Swarajya Lakshmi V Papineni, Snigdha Yarlagadda, Harita Akkineni, A. Mallikarjuna Reddy
http://arxiv.org/abs/2102.02637v1
• [cs.LG]CKConv: Continuous Kernel Convolution For Sequential Data
David W. Romero, Anna Kuzina, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
http://arxiv.org/abs/2102.02611v1
• [cs.LG]Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
Barbara Rychalska, Piotr Bąbel, Konrad Gołuchowski, Andrzej Michałowski, Jacek Dąbrowski
http://arxiv.org/abs/2102.02302v1
• [cs.LG]Deep Learning Based Model Identification System Exploits the Modular Structure of a Bio-Inspired Posture Control Model for Humans and Humanoids
Vittorio Lippi
http://arxiv.org/abs/2102.02536v1
• [cs.LG]Digital twins based on bidirectional LSTM and GAN for modelling COVID-19
César Quilodrán-Casas, Vinicius Santos Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain
http://arxiv.org/abs/2102.02664v1
• [cs.LG]Directive Explanations for Actionable Explainability in Machine Learning Applications
Ronal Singh, Paul Dourish, Piers Howe, Tim Miller, Liz Sonenberg, Eduardo Velloso, Frank Vetere
http://arxiv.org/abs/2102.02671v1
• [cs.LG]Disambiguation of weak supervision with exponential convergence rates
Vivien Cabannes, Francis Bach, Alessandro Rudi
http://arxiv.org/abs/2102.02789v1
• [cs.LG]Disease Prediction with a Maximum Entropy Method
Michael Shub, Qing Xu, Xiaohua, Xuan
http://arxiv.org/abs/2102.02668v1
• [cs.LG]EFloat: Entropy-coded Floating Point Format for Deep Learning
Rajesh Bordawekar, Bulent Abali, Ming-Hung Chen
http://arxiv.org/abs/2102.02705v1
• [cs.LG]Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy
James Mou, Jun Li
http://arxiv.org/abs/2102.02326v1
• [cs.LG]FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek
http://arxiv.org/abs/2102.02514v1
• [cs.LG]Federated Learning on Non-IID Data Silos: An Experimental Study
Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He
http://arxiv.org/abs/2102.02079v2
• [cs.LG]Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models
Mojtaba Abolfazli, Anders Host-Madsen, June Zhang, Andras Bratincsak
http://arxiv.org/abs/2102.02431v1
• [cs.LG]HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao
http://arxiv.org/abs/2102.02515v1
• [cs.LG]Hawkes Processes on Graphons
Hongteng Xu, Dixin Luo, Hongyuan Zha
http://arxiv.org/abs/2102.02741v1
• [cs.LG]Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models
Shang Wang, Peiming Yang, Yuxuan Zheng, Xin Li, Gennady Pekhimenko
http://arxiv.org/abs/2102.02344v1
• [cs.LG]Hybrid Adversarial Inverse Reinforcement Learning
Mingqi Yuan, Man-On Pun, Yi Chen, Qi Cao
http://arxiv.org/abs/2102.02454v1
• [cs.LG]Hybrid consistency and plausibility verification of product data according to FIC
Christian Schorr
http://arxiv.org/abs/2102.02665v1
• [cs.LG]Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym
Matthew E. Taylor, Nicholas Nissen, Yuan Wang, Neda Navidi
http://arxiv.org/abs/2102.02639v1
• [cs.LG]Instance-based learning using the Half-Space Proximal Graph
Ariana Talamantes, Edgar Chavez
http://arxiv.org/abs/2102.02755v1
• [cs.LG]Lookup subnet based Spatial Graph Convolutional neural Network
Jingzhao Hu, Xiaoqi Zhang, Qiaomei Jia, Chen Wang, Qirong Bu, Jun Feng
http://arxiv.org/abs/2102.02588v1
• [cs.LG]MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
Zhen Xu, David R. So, Andrew M. Dai
http://arxiv.org/abs/2102.02340v1
• [cs.LG]Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling
Mahshad Lotfinia, Soroosh Tayebi Arasteh
http://arxiv.org/abs/2102.02470v1
• [cs.LG]Modeling Complex Financial Products
Margret Bjarnadottir, Louiqa Raschid
http://arxiv.org/abs/2102.02329v1
• [cs.LG]Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet Loss
Huiyuan Deng, Xiangzhu Meng, Lin Feng
http://arxiv.org/abs/2102.02670v1
• [cs.LG]Nearest Neighbor-based Importance Weighting
Marco Loog
http://arxiv.org/abs/2102.02291v1
• [cs.LG]Neural Recursive Belief States in Multi-Agent Reinforcement Learning
Pol Moreno, Edward Hughes, Kevin R. McKee, Bernardo Avila Pires, Théophane Weber
http://arxiv.org/abs/2102.02274v1
• [cs.LG]On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function
Gellert Weisz, Philip Amortila, Barnabás Janzer, Yasin Abbasi-Yadkori, Nan Jiang, Csaba Szepesvári
http://arxiv.org/abs/2102.02049v2
• [cs.LG]On the Approximation Power of Two-Layer Networks of Random ReLUs
Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis
http://arxiv.org/abs/2102.02336v1
• [cs.LG]Optimised one-class classification performance
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
http://arxiv.org/abs/2102.02618v1
• [cs.LG]Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services
Léa Ricard, Guy Desaulniers, Andrea Lodi, Louis-Martin Rousseau
http://arxiv.org/abs/2102.02292v1
• [cs.LG]Provably End-to-end Label-Noise Learning without Anchor Points
Xuefeng Li, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama
http://arxiv.org/abs/2102.02400v1
• [cs.LG]Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence
Xue Chen, Michał Dereziński
http://arxiv.org/abs/2102.02322v1
• [cs.LG]RECol: Reconstruction Error Columns for Outlier Detection
Jörn Hees, Dayananda Herurkar, Mario Meier
http://arxiv.org/abs/2102.02791v1
• [cs.LG]Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning
Ekdeep Singh Lubana, Puja Trivedi, Robert P. Dick
http://arxiv.org/abs/2102.02805v1
• [cs.LG]Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
Priyank Jaini, Didrik Nielsen, Max Welling
http://arxiv.org/abs/2102.02374v1
• [cs.LG]Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction
Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray Buntine
http://arxiv.org/abs/2102.02586v1
• [cs.LG]The Analysis from Nonlinear Distance Metric to Kernel-based Drug Prescription Prediction System
Der-Chen Chang, Ophir Frieder, Chi-Feng Hung, Hao-Ren Yao
http://arxiv.org/abs/2102.02446v1
• [cs.LG]Transfer Learning in Bandits with Latent Continuity
Hyejin Park, Seiyun Shin, Kwang-Sung Jun, Jungseul Ok
http://arxiv.org/abs/2102.02472v1
• [cs.LG]Universal Approximation Theorems of Fully Connected Binarized Neural Networks
Mikail Yayla, Mario Günzel, Burim Ramosaj, Jian-Jia Chen
http://arxiv.org/abs/2102.02631v1
• [cs.MA]Improved Cooperation by Exploiting a Common Signal
Panayiotis Danassis, Zeki Doruk Erden, Boi Faltings
http://arxiv.org/abs/2102.02304v1
• [cs.NE]Regenerating Soft Robots through Neural Cellular Automata
Kazuya Horibe, Kathryn Walker, Sebastian Risi
http://arxiv.org/abs/2102.02579v1
• [cs.NE]The Enigma of Complexity
Jon McCormack, Camilo Cruz Gambardella, Andy Lomas
http://arxiv.org/abs/2102.02332v1
• [cs.NI]An efficient linear programming rounding-and-refinement algorithm for large-scale network slicing problem
Wei-Kun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
http://arxiv.org/abs/2102.02563v1
• [cs.RO]A survey of motion planning algorithms for intelligent robotics
Chengmin Zhou, Bingding Huang, Pasi Fränti
http://arxiv.org/abs/2102.02376v1
• [cs.RO]An Analysis of International Use of Robots for COVID-19
Robin R. Murphy, Vignesh B. M. Gandudi, Trisha Amin, Angela Clendenin, Jason Moats
http://arxiv.org/abs/2102.02509v1
• [cs.RO]Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models
Thomas Power, Dmitry Berenson
http://arxiv.org/abs/2102.02493v1
• [cs.RO]On Multi-Human Multi-Robot Remote Interaction: A Study of Transparency, Inter-Human Communication, and Information Loss in Remote Interaction
Jayam Patel, Prajankya Sonar, Carlo Pinciroli
http://arxiv.org/abs/2102.02351v1
• [cs.RO]PHASER: a Robust and Correspondence-free Global Pointcloud Registration
Lukas Bernreiter, Lionel Ott, Juan Nieto, Roland Siegwart, Cesar Cadena
http://arxiv.org/abs/2102.02767v1
• [cs.RO]Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning
Sam Garlick, Andrew Bradley
http://arxiv.org/abs/2102.02315v1
• [cs.RO]The Importance of Models in Data Analysis with Small Human Movement Datasets — Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans
Vittorio Lippi, Christoph Maurer, Thomas Mergner
http://arxiv.org/abs/2102.02543v1
• [cs.RO]Towards Decentralized Human-Swarm Interaction by Means of Sequential Hand Gesture Recognition
Zahi Kakish, Sritanay Vedartham, Spring Berman
http://arxiv.org/abs/2102.02439v1
• [cs.SD]Audio Adversarial Examples: Attacks Using Vocal Masks
Lynnette Ng, Kai Yuan Tay, Wei Han Chua, Lucerne Loke, Danqi Ye, Melissa Chua
http://arxiv.org/abs/2102.02417v1
• [cs.SD]Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks
Bruno Di Giorgi, Matthias Mauch, Mark Levy
http://arxiv.org/abs/2102.02282v1
• [cs.SD]Low Bit-Rate Wideband Speech Coding: A Deep Generative Model based Approach
Gang Min, Xiongwei Zhang, Xia Zou, Xiangyang Liu
http://arxiv.org/abs/2102.02640v1
• [cs.SI]Assessing Individual and Community Vulnerability to Fake News in Social Networks
Bhavtosh Rath, Wei Gao, Jaideep Srivastava
http://arxiv.org/abs/2102.02434v1
• [cs.SI]AttentionFlow: Visualising Influence in Networks of Time Series
Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Mathews, Rong Wang, Georgiana Lyall, Lexing Xie
http://arxiv.org/abs/org/abs/2102.01974v1
• [eess.IV]DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues
Juhung Park, Woojin Jung, Eun-Jung Choi, Se-Hong Oh, Dongmyung Shin, Hongjun An, Jongho Lee
http://arxiv.org/abs/2102.02463v1
• [eess.IV]Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Georg Rose, Andreas Nürnberger, Oliver Speck
http://arxiv.org/abs/2102.02711v1
• [eess.IV]No-reference denoising of low-dose CT projections
Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov
http://arxiv.org/abs/2102.02662v1
• [eess.IV]TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors
Umaseh Sivanesan, Luis H. Braga, Ranil R. Sonnadara, Kiret Dhindsa
http://arxiv.org/abs/2102.02690v1
• [eess.SP]A 5 μW Standard Cell Memory-based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing
Manuel Eggimann, Abbas Rahimi, Luca Benini
http://arxiv.org/abs/2102.02758v1
• [eess.SY]A Heuristic for Dynamic Output Predictive Control Design for Uncertain Nonlinear Systems
Mazen Alamir
http://arxiv.org/abs/2102.02268v1
• [eess.SY]A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing
Lin Liu, Shuo Feng, Yiheng Feng, Xichan Zhu, Henry X. Liu
http://arxiv.org/abs/2102.02602v1
• [eess.SY]Barrier Function-based Collaborative Control of Multiple Robots under Signal Temporal Logic Tasks
Lars Lindemann, Dimos V. Dimarogonas
http://arxiv.org/abs/2102.02609v1
• [eess.SY]Observability of the relative motion from inertial data in kinematic chains
Manon Kok, Karsten Eckhoff, Ive Weygers, Thomas Seel
http://arxiv.org/abs/2102.02675v1
• [math.NA]A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate
Hongwei Guo, Xiaoying Zhuang, Timon Rabczuk
http://arxiv.org/abs/2102.02617v1
• [math.NA]Wind Field Reconstruction with Adaptive Random Fourier Features
Jonas Kiessling, Emanuel Ström, Raúl Tempone
http://arxiv.org/abs/2102.02365v1
• [math.NT]Linear complexity of some sequences derived from hyperelliptic curves of genus 2
Vishnupriya Anupindi, László Mérai
http://arxiv.org/abs/2102.02605v1
• [math.OC]Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent
Trung Vu, Raviv Raich
http://arxiv.org/abs/2102.02396v1
• [math.PR]Simulated annealing from continuum to discretization: a convergence analysis via the Eyring—Kramers law
Wenpin Tang, Xun Yu Zhou
http://arxiv.org/abs/2102.02339v1
• [math.ST]Sharper Sub-Weibull Concentrations: Non-asymptotic Bai-Yin’s Theorem
Huiming Zhang, Haoyu Wei
http://arxiv.org/abs/2102.02450v1
• [math.ST]The complex behaviour of Galton rank order statistic
E. del Barrio, J. A. Cuesta-Albertos, C. Matran
http://arxiv.org/abs/2102.02572v1
• [physics.chem-ph]A Universal Framework for Featurization of Atomistic Systems
Xiangyun Lei, Andrew J. Medford
http://arxiv.org/abs/2102.02390v1
• [physics.med-ph]Deep learning-based synthetic-CT generation in radiotherapy and PET: a review
Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino, Joao Seco
http://arxiv.org/abs/2102.02734v1
• [physics.soc-ph]A statistical analysis of death rates in Italy for the years 2015-2020 and a comparison with the casualties reported for the COVID-19 pandemic
Gianluca Bonifazi, Luca Lista, Dario Menasce, Mauro Mezzetto, Alberto Oliva, Daniele Pedrini, Roberto Spighi, Antonio Zoccoli
http://arxiv.org/abs/2102.01629v2
• [physics.soc-ph]A survey on modelling of infectious disease spread and control on social contact networks
Md Shahzamal, Saeed Khan
http://arxiv.org/abs/2102.02768v1
• [physics.soc-ph]Entropic Dynamics of Networks
Felipe Xavier Costa, Pedro Pessoa
http://arxiv.org/abs/2102.02355v1
• [physics.soc-ph]Mainstreaming of conspiracy theories and misinformation
N. F. Johnson, N. Velasquez, N. Johnson Restrepo, R. Leahy, R. Sear, N. Gabriel, H. Larson, Y. Lupu
http://arxiv.org/abs/2102.02382v1
• [physics.soc-ph]Revealing Critical Characteristics of Mobility Patterns in New York City during the Onset of COVID-19 Pandemic
Akhil Anil Rajput, Qingchun Li, Xinyu Gao, Ali Mostafavi
http://arxiv.org/abs/2102.01918v2
• [q-bio.GN]OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning
Xiaoyu Zhang, Kai Sun, Yike Guo
http://arxiv.org/abs/2102.02669v1
• [q-bio.GN]Towards a reinforcement learning de novo genome assembler
Kleber Padovani, Roberto Xavier, Andre Carvalho, Anna Reali, Annie Chateau, Ronnie Alves
http://arxiv.org/abs/2102.02649v1
• [quant-ph]An end-to-end trainable hybrid classical-quantum classifier
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao
http://arxiv.org/abs/2102.02416v1
• [quant-ph]Parametrized Quantum Circuits of Synonymous Sentences in Quantum Natural Language Processing
Mina Abbaszadeh, S. Shahin Mousavi, Vahid Salari
http://arxiv.org/abs/2102.02204v1
• [quant-ph]Permutation-invariant quantum coding for quantum deletion channels
Yingkai Ouyang
http://arxiv.org/abs/2102.02494v1
• [stat.AP]A Zero-State Coupled Markov Switching Poisson Model for Spatio-temporal Infectious Disease Counts
Dirk Douwes-Schultz, Alexandra M. Schmidt
http://arxiv.org/abs/2102.02334v1
• [stat.AP]Covid-19 risk factors: Statistical learning from German healthcare claims data
Roland Jucknewitz, Oliver Weidinger, Anja Schramm
http://arxiv.org/abs/2102.02697v1
• [stat.AP]Improving the assessment of the probability of success in late stage drug development
Lisa V Hampson, Björn Bornkamp, Björn Holzhauer, Joseph Kahn, Markus R Lange, Wen-Lin Luo, Giovanni Della Cioppa, Kelvin Stott, Steffen Ballerstedt
http://arxiv.org/abs/2102.02752v1
• [stat.AP]Variational Bayes survival analysis for unemployment modelling
Pavle Boškoski, Matija Perne, Martina Rameša, Biljana Mileva Boshkoska
http://arxiv.org/abs/2102.02295v1
• [stat.CO]HMC, an Algorithms in Data Mining, the Functional Analysis approach
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
http://arxiv.org/abs/2102.02691v1
• [stat.ME]Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings
Zeda Li, Scott A. Bruce, Tian Cai
http://arxiv.org/abs/2102.02794v1
• [stat.ME]Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach
Siyun Yang, Fan Li, Laine E. Thomas, Fan Li
http://arxiv.org/abs/2102.02285v1
• [stat.ME]Factor-augmented Smoothing Model for Functional Data
Yuan Gao, Han Lin Shang, Yanrong Yang
http://arxiv.org/abs/2102.02580v1
• [stat.ME]Identifying regions of inhomogeneities in spatial processes via an M-RA and mixture priors
Marco H. Benedetti, Veronica J. Berrocal, Naveen N. Narisetty
http://arxiv.org/abs/2102.02731v1
• [stat.ME]pcoxtime: Penalized Cox Proportional Hazard Model for Time-dependent Covariates
Steve Cygu, Benjamin M. Bolker
http://arxiv.org/abs/2102.02297v1
• [stat.ML]Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types
Benjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellström
http://arxiv.org/abs/2102.02642v1
• [stat.ML]From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling
Christina Petschnigg, Markus Spitzner, Lucas Weitzendorf, Jürgen Pilz
http://arxiv.org/abs/2102.02488v1
• [stat.ML]Impossibility of Partial Recovery in the Graph Alignment Problem
Luca Ganassali, Laurent Massoulié, Marc Lelarge
http://arxiv.org/abs/2102.02685v1
• [stat.ML]Invertible DenseNets with Concatenated LipSwish
Yura Perugachi-Diaz, Jakub M. Tomczak, Sandjai Bhulai
http://arxiv.org/abs/2102.02694v1
• [stat.ML]Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
Yivan Zhang, Gang Niu, Masashi Sugiyama
http://arxiv.org/abs/2102.02414v1
• [stat.ML]Meta-strategy for Learning Tuning Parameters with Guarantees
Dimitri Meunier, Pierre Alquier
http://arxiv.org/abs/2102.02504v1
若有收获，就点个赞吧
0 人点赞
