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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.AT - 代数拓扑 math.OC - 优化与控制 math.ST - 统计理论 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
• [cs.AI]Accelerating Road Sign Ground Truth Construction with Knowledge Graph and Machine Learning
• [cs.AI]Constrained Risk-Averse Markov Decision Processes
• [cs.AI]Creativity of Deep Learning: Conceptualization and Assessment
• [cs.AI]Explaining Predictions of Deep Neural Classifier via Activation Analysis
• [cs.AI]Learning in two-player games between transparent opponents
• [cs.AI]Playing Text-Based Games with Common Sense
• [cs.AI]Understanding Attention: In Minds and Machines
• [cs.CL]A Benchmark Dataset for Understandable Medical Language Translation
• [cs.CL]Automated Detection of Cyberbullying Against Women and Immigrants and Cross-domain Adaptability
• [cs.CL]CUED_speech at TREC 2020 Podcast Summarisation Track
• [cs.CL]Coarse-to-Fine Entity Representations for Document-level Relation Extraction
• [cs.CL]DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues
• [cs.CL]Data Processing and Annotation Schemes for FinCausal Shared Task
• [cs.CL]Delexicalized Paraphrase Generation
• [cs.CL]Event Guided Denoising for Multilingual Relation Learning
• [cs.CL]Evolving Character-Level DenseNet Architectures using Genetic Programming
• [cs.CL]Evolving Character-level Convolutional Neural Networks for Text Classification
• [cs.CL]Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
• [cs.CL]Financial Document Causality Detection Shared Task (FinCausal 2020)
• [cs.CL]Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning
• [cs.CL]FinnSentiment — A Finnish Social Media Corpus for Sentiment Polarity Annotation
• [cs.CL]Pre-trained language models as knowledge bases for Automotive Complaint Analysis
• [cs.CL]Ve’rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement
• [cs.CR]TrollHunter [Evader]: Automated Detection [Evasion] of TwitterTrolls During the COVID-19 Pandemic
• [cs.CR]TrollHunter2020: Real-Time Detection of TrollingNarratives on Twitter During the 2020 US Elections
• [cs.CR]Unleashing the Tiger: Inference Attacks on Split Learning
• [cs.CV]A Note on Data Biases in Generative Models
• [cs.CV]A high performance approach to detecting small targets in long range low quality infrared videos
• [cs.CV]An Empirical Method to Quantify the Peripheral Performance Degradation in Deep Networks
• [cs.CV]AuthNet: A Deep Learning based Authentication Mechanism using Temporal Facial Feature Movements
• [cs.CV]Boosting offline handwritten text recognition in historical documents with few labeled lines
• [cs.CV]Compositionally Generalizable 3D Structure Prediction
• [cs.CV]Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations
• [cs.CV]Deep Learning for Wrist Fracture Detection: Are We There Yet?
• [cs.CV]Detecting 32 Pedestrian Attributes for Autonomous Vehicles
• [cs.CV]Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation
• [cs.CV]F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation
• [cs.CV]Few-shot Image Generation with Elastic Weight Consolidation
• [cs.CV]Generator Pyramid for High-Resolution Image Inpainting
• [cs.CV]Global Context Aware RCNN for Object Detection
• [cs.CV]Hierarchical Semantic Aggregation for Contrastive Representation Learning
• [cs.CV]How Many Annotators Do We Need? — A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment
• [cs.CV]ID-Reveal: Identity-aware DeepFake Video Detection
• [cs.CV]Is It a Plausible Colour? UCapsNet for Image Colourisation
• [cs.CV]Isometric Multi-Shape Matching
• [cs.CV]Learning Equivariant Representations
• [cs.CV]Learning to Fuse Asymmetric Feature Maps in Siamese Trackers
• [cs.CV]Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language
• [cs.CV]Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
• [cs.CV]PeR-ViS: Person Retrieval in Video Surveillance using Semantic Description
• [cs.CV]Photoacoustic Image Reconstruction Beyond Supervised to Compensate Limit-view and Remove Artifacts
• [cs.CV]Practical No-box Adversarial Attacks against DNNs
• [cs.CV]Prediction of Lane Number Using Results From Lane Detection
• [cs.CV]Rethinking movie genre classification with fine grained semantic clustering
• [cs.CV]SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation
• [cs.CV]SMPLy Benchmarking 3D Human Pose Estimation in the Wild
• [cs.CV]Self-Supervised VQA: Answering Visual Questions using Images and Captions
• [cs.CV]Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
• [cs.CV]Spatial-Temporal Alignment Network for Action Recognition and Detection
• [cs.CV]Super-Selfish: Self-Supervised Learning onImages with PyTorch
• [cs.CV]Towards Good Practices of U-Net for Traffic Forecasting
• [cs.CV]Understanding Guided Image Captioning Performance across Domains
• [cs.CY]Adaptivity and Personalization Application Scenarios in eParticipation
• [cs.CY]Birdspotter: A Tool for Analyzing and Labeling Twitter Users
• [cs.CY]Spatio-Temporal Analysis of On Demand Transit: A Case Study of Belleville, Canada
• [cs.CY]The Treachery of Images in the Digital Sovereignty Debate
• [cs.DB]Computational Complexity of Three Central Problems in Itemset Mining
• [cs.DC]Energy Balanced Two-level Clustering for Large-Scale Wireless Sensor Networks based on the Gravitational Search Algorithm
• [cs.DL]Ten Simple Rules for making a vocabulary FAIR
• [cs.DS]Distributed domination on graph classes with bounded expansion
• [cs.ET]A Single-Cycle MLP Classifier Using Analog MRAM-based Neurons and Synapses
• [cs.GR]Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders
• [cs.IR]FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint
• [cs.IR]Linear Regression Evaluation of Search Engine Automatic Search Performance Based on Hadoop and R
• [cs.IR]Research Progress of News Recommendation Methods
• [cs.IT]Joint Channel Estimation and Data Decoding using SVM-based Receivers
• [cs.IT]Massive MIMO with Dense Arrays and 1-bit Data Converters
• [cs.IT]Reconfigurable Intelligent Surface Aided Secure Transmission Exploiting Statistical CSI of Eavesdropper
• [cs.LG]A Variant of Gradient Descent Algorithm Based on Gradient Averaging
• [cs.LG]A novel multi-classifier information fusion based on Dempster-Shafer theory: application to vibration-based fault detection
• [cs.LG]Advocating for Multiple Defense Strategies against Adversarial Examples
• [cs.LG]Application of deep learning to large scale riverine flow velocity estimation
• [cs.LG]Batch Group Normalization
• [cs.LG]Bayesian Active Learning for Wearable Stress and Affect Detection
• [cs.LG]Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data
• [cs.LG]Challenging common interpretability assumptions in feature attribution explanations
• [cs.LG]Community detection using fast low-cardinality semidefinite programming
• [cs.LG]Concept-based model explanations for Electronic Health Records
• [cs.LG]DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
• [cs.LG]Deep Learning for Medical Anomaly Detection — A Survey
• [cs.LG]Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
• [cs.LG]Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments
• [cs.LG]Detecting Trojaned DNNs Using Counterfactual Attributions
• [cs.LG]Divide and Learn: A Divide and Conquer Approach for Predict+Optimize
• [cs.LG]ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare
• [cs.LG]Effect of the initial configuration of weights on the training and function of artificial neural networks
• [cs.LG]Efficient semidefinite-programming-based inference for binary and multi-class MRFs
• [cs.LG]Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring
• [cs.LG]Kernel-convoluted Deep Neural Networks with Data Augmentation
• [cs.LG]Logic Synthesis Meets Machine Learning:Trading Exactness for Generalization
• [cs.LG]MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It
• [cs.LG]Mitigating Bias in Federated Learning
• [cs.LG]Model-Agnostic Learning to Meta-Learn
• [cs.LG]Multimodal Privacy-preserving Mood Prediction from Mobile Data: A Preliminary Study
• [cs.LG]Neural Dynamic Policies for End-to-End Sensorimotor Learning
• [cs.LG]Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
• [cs.LG]Non-Asymptotic Analysis of Excess Risk via Empirical Risk Landscape
• [cs.LG]Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation
• [cs.LG]On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs
• [cs.LG]Optimising Design Verification Using Machine Learning: An Open Source Solution
• [cs.LG]Planning from Pixels using Inverse Dynamics Models
• [cs.LG]Proximal Policy Optimization Smoothed Algorithm
• [cs.LG]Relational Pretrained Transformers towards Democratizing Data Preparation [Vision]
• [cs.LG]Representation Based Complexity Measures for Predicting Generalization in Deep Learning
• [cs.LG]Rethinking supervised learning: insights from biological learning and from calling it by its name
• [cs.LG]Towards Natural Robustness Against Adversarial Examples
• [cs.LG]Universal Approximation Property of Neural Ordinary Differential Equations
• [cs.LG]Unsupervised Adversarially-Robust Representation Learning on Graphs
• [cs.LG]Unsupervised embedding of trajectories captures the latent structure of mobility
• [cs.RO]A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations
• [cs.RO]Autonomous Navigation with Mobile Robots using Deep Learning and the Robot Operating System
• [cs.RO]Decentralized Multi-target Tracking with Multiple Quadrotors using a PHD Filter
• [cs.RO]DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning
• [cs.RO]LAMP: Learning a Motion Policy to Repeatedly Navigate in an Uncertain Environment
• [cs.RO]P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment
• [cs.RO]Pose-Based Servo Control with Soft Tactile Sensing
• [cs.RO]Spatial Language Understanding for Object Search in Partially Observed Cityscale Environments
• [cs.SD]Predicting Emotions Perceived from Sounds
• [cs.SE]A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering
• [cs.SI]A Review of Latent Space Models for Social Networks
• [cs.SI]Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic
• [cs.SI]Learning Node Representations from Noisy Graph Structures
• [cs.SI]Spread Mechanism and Influence Measurement of Online Rumors during COVID-19 Epidemic in China
• [econ.EM]A Canonical Representation of Block Matrices with Applications to Covariance and Correlation Matrices
• [econ.EM]A New Parametrization of Correlation Matrices
• [econ.GN]Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics
• [econ.GN]The Managerial Effects of Algorithmic Fairness Activism
• [eess.AS]A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings
• [eess.IV]Offset Curves Loss for Imbalanced Problem in Medical Segmentation
• [eess.IV]Statistical inference of the inter-sample Dice distribution for discriminative CNN brain lesion segmentation models
• [eess.IV]Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
• [eess.IV]XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors
• [eess.SP]Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals
• [math.AT]Hierarchical Clustering and Zeroth Persistent Homology
• [math.OC]Generalized Proximal Methods for Pose Graph Optimization
• [math.ST]Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models
• [math.ST]Information Complexity Criterion for Model Selection in Robust Regression Using A New Robust Penalty Term
• [math.ST]Ordinal pattern dependence as a multivariate dependence measure
• [stat.AP]A latent variable approach to account for correlated inputs in global sensitivity analysis with cases from pharmacological systems modelling
• [stat.AP]Efficient Social Distancing for COVID-19: An Integration of Economic Health and Public Health
• [stat.CO]Penalised t-walk MCMC
• [stat.ME]Bayesian hierarchical space-time models to improve multispecies assessment by combining observations from disparate fish surveys
• [stat.ME]Derandomizing Knockoffs
• [stat.ME]Joint Model for Survival and Multivariate Sparse Functional Data with Application to a Study of Alzheimer’s Disease
• [stat.ME]Latent function-on-scalar regression models for observed sequences of binary data: a restricted likelihood approach
• [stat.ME]Optimal Bayesian hierarchical model to accelerate the development of tissue-agnostic drugs and basket trials
• [stat.ML]Non-monotone risk functions for learning
• [stat.ML]When does gradient descent with logistic loss find interpolating two-layer networks?
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• [cs.AI]Accelerating Road Sign Ground Truth Construction with Knowledge Graph and Machine Learning
Ji Eun Kim, Cory Henson, Kevin Huang, Tuan A. Tran, Wan-Yi Lin
http://arxiv.org/abs/2012.02672v1
• [cs.AI]Constrained Risk-Averse Markov Decision Processes
Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames
http://arxiv.org/abs/2012.02423v1
• [cs.AI]Creativity of Deep Learning: Conceptualization and Assessment
Johannes Schneider, Marcus Basalla
http://arxiv.org/abs/2012.02282v1
• [cs.AI]Explaining Predictions of Deep Neural Classifier via Activation Analysis
Martin Stano, Wanda Benesova, Lukas Samuel Martak
http://arxiv.org/abs/2012.02248v1
• [cs.AI]Learning in two-player games between transparent opponents
Adrian Hutter
http://arxiv.org/abs/2012.02671v1
• [cs.AI]Playing Text-Based Games with Common Sense
Sahith Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, Mark O. Riedl
http://arxiv.org/abs/2012.02757v1
• [cs.AI]Understanding Attention: In Minds and Machines
Shriraj P. Sawant, Shruti Singh
http://arxiv.org/abs/2012.02659v1
• [cs.CL]A Benchmark Dataset for Understandable Medical Language Translation
Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma
http://arxiv.org/abs/2012.02420v1
• [cs.CL]Automated Detection of Cyberbullying Against Women and Immigrants and Cross-domain Adaptability
Thushari Atapattu, Mahen Herath, Georgia Zhang, Katrina Falkner
http://arxiv.org/abs/2012.02565v1
• [cs.CL]CUED_speech at TREC 2020 Podcast Summarisation Track
Potsawee Manakul, Mark Gales
http://arxiv.org/abs/2012.02535v1
• [cs.CL]Coarse-to-Fine Entity Representations for Document-level Relation Extraction
Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui
http://arxiv.org/abs/2012.02507v1
• [cs.CL]DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues
Qi Jia, Hongru Huang, Kenny Q. Zhu
http://arxiv.org/abs/2012.02553v1
• [cs.CL]Data Processing and Annotation Schemes for FinCausal Shared Task
Dominique Mariko, Estelle Labidurie, Yagmur Ozturk, Hanna Abi Akl, Hugues de Mazancourt
http://arxiv.org/abs/2012.02498v1
• [cs.CL]Delexicalized Paraphrase Generation
Boya Yu, Konstantine Arkoudas, Wael Hamza
http://arxiv.org/abs/2012.02763v1
• [cs.CL]Event Guided Denoising for Multilingual Relation Learning
Amith Ananthram, Emily Allaway, Kathleen McKeown
http://arxiv.org/abs/2012.02721v1
• [cs.CL]Evolving Character-Level DenseNet Architectures using Genetic Programming
Trevor Londt, Xiaoying Gao, Peter Andreae
http://arxiv.org/abs/2012.02327v1
• [cs.CL]Evolving Character-level Convolutional Neural Networks for Text Classification
Trevor Londt, Xiaoying Gao, Bing Xue, Peter Andreae
http://arxiv.org/abs/2012.02223v1
• [cs.CL]Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
Xin Cong, Shiyao Cui, Bowen Yu, Tingwen Liu, Yubin Wang, Bin Wang
http://arxiv.org/abs/2012.02353v1
• [cs.CL]Financial Document Causality Detection Shared Task (FinCausal 2020)
Dominique Mariko, Hanna Abi Akl, Estelle Labidurie, Stéphane Durfort, Hugues de Mazancourt, Mahmoud El-Haj
http://arxiv.org/abs/2012.02505v1
• [cs.CL]Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning
Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu
http://arxiv.org/abs/2012.02462v1
• [cs.CL]FinnSentiment — A Finnish Social Media Corpus for Sentiment Polarity Annotation
Krister Lindén, Tommi Jauhiainen, Sam Hardwick
http://arxiv.org/abs/2012.02613v1
• [cs.CL]Pre-trained language models as knowledge bases for Automotive Complaint Analysis
V. D. Viellieber, M. Aßenmacher
http://arxiv.org/abs/2012.02558v1
• [cs.CL]Ve’rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement
Khalid Alnajjar, Mika Hämäläinen, Jack Rueter, Niko Partanen
http://arxiv.org/abs/2012.02578v1
• [cs.CR]TrollHunter [Evader]: Automated Detection [Evasion] of TwitterTrolls During the COVID-19 Pandemic
Peter Jachim, Filipo Sharevski, Paige Treebridge
http://arxiv.org/abs/2012.02586v1
• [cs.CR]TrollHunter2020: Real-Time Detection of TrollingNarratives on Twitter During the 2020 US Elections
Peter Jachim, Filipo Sharevski, Emma Pieroni
http://arxiv.org/abs/2012.02606v1
• [cs.CR]Unleashing the Tiger: Inference Attacks on Split Learning
Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
http://arxiv.org/abs/2012.02670v1
• [cs.CV]A Note on Data Biases in Generative Models
Patrick Esser, Robin Rombach, Björn Ommer
http://arxiv.org/abs/2012.02516v1
• [cs.CV]A high performance approach to detecting small targets in long range low quality infrared videos
Chiman Kwan, Bence Budavari
http://arxiv.org/abs/2012.02579v1
• [cs.CV]An Empirical Method to Quantify the Peripheral Performance Degradation in Deep Networks
Calden Wloka, John K. Tsotsos
http://arxiv.org/abs/2012.02749v1
• [cs.CV]AuthNet: A Deep Learning based Authentication Mechanism using Temporal Facial Feature Movements
Mohit Raghavendra, Pravan Omprakash, B R Mukesh, Sowmya Kamath
http://arxiv.org/abs/2012.02515v1
• [cs.CV]Boosting offline handwritten text recognition in historical documents with few labeled lines
José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
http://arxiv.org/abs/2012.02544v1
• [cs.CV]Compositionally Generalizable 3D Structure Prediction
Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen, Hao Su
http://arxiv.org/abs/2012.02493v1
• [cs.CV]Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations
Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D’Aronco, Jan Dirk Wegner, Konrad Schindler
http://arxiv.org/abs/2012.02542v1
• [cs.CV]Deep Learning for Wrist Fracture Detection: Are We There Yet?
Abu Mohammed Raisuddin, Elias Vaattovaara, Mika Nevalainen, Marko Nikki, Elina Järvenpää, Kaisa Makkonen, Pekka Pinola, Tuula Palsio, Arttu Niemensivu, Osmo Tervonen, Aleksei Tiulpin
http://arxiv.org/abs/2012.02577v1
• [cs.CV]Detecting 32 Pedestrian Attributes for Autonomous Vehicles
Taylor Mordan, Matthieu Cord, Patrick Pérez, Alexandre Alahi
http://arxiv.org/abs/2012.02647v1
• [cs.CV]Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation
Zhiyong Huang, Kekai Sheng, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Dengwen Zhou, Changsheng Xu
http://arxiv.org/abs/2012.02621v1
• [cs.CV]F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation
Daizong Liu, Dongdong Yu, Changhu Wang, Pan Zhou
http://arxiv.org/abs/2012.02534v1
• [cs.CV]Few-shot Image Generation with Elastic Weight Consolidation
Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman
http://arxiv.org/abs/2012.02780v1
• [cs.CV]Generator Pyramid for High-Resolution Image Inpainting
Leilei Cao, Tong Yang, Yixu Wang, Bo Yan, Yandong Guo
http://arxiv.org/abs/2012.02381v1
• [cs.CV]Global Context Aware RCNN for Object Detection
Wenchao Zhang, Chong Fu, Haoyu Xie, Mai Zhu, Ming Tie, Junxin Chen
http://arxiv.org/abs/2012.02637v1
• [cs.CV]Hierarchical Semantic Aggregation for Contrastive Representation Learning
Haohang Xu, Xiaopeng Zhang, Hao Li, Lingxi Xie, Hongkai Xiong, Qi Tian
http://arxiv.org/abs/2012.02733v1
• [cs.CV]How Many Annotators Do We Need? — A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment
Frauke Wilm, Christof A. Bertram, Christian Marzahl, Alexander Bartel, Taryn A. Donovan, Charles-Antoine Assenmacher, Kathrin Becker, Mark Bennett, Sarah Corner, Brieuc Cossic, Daniela Denk, Martina Dettwiler, Beatriz Garcia Gonzalez, Corinne Gurtner, Annika Lehmbecker, Sophie Merz, Stephanie Plog, Anja Schmidt, Rebecca C. Smedley, Marco Tecilla, Tuddow Thaiwong, Katharina Breininger, Matti Kiupel, Andreas Maier, Robert Klopfleisch, Marc Aubreville
http://arxiv.org/abs/2012.02495v1
• [cs.CV]ID-Reveal: Identity-aware DeepFake Video Detection
Davide Cozzolino, Andreas Rössler, Justus Thies, Matthias Nießner, Luisa Verdoliva
http://arxiv.org/abs/2012.02512v1
• [cs.CV]Is It a Plausible Colour? UCapsNet for Image Colourisation
Rita Pucci, Christian Micheloni, Gian Luca Foresti, Niki Martinel
http://arxiv.org/abs/2012.02478v1
• [cs.CV]Isometric Multi-Shape Matching
Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard
http://arxiv.org/abs/2012.02689v1
• [cs.CV]Learning Equivariant Representations
Carlos Esteves
http://arxiv.org/abs/2012.02771v1
• [cs.CV]Learning to Fuse Asymmetric Feature Maps in Siamese Trackers
Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen
http://arxiv.org/abs/2012.02776v1
• [cs.CV]Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language
Songyang Zhang, Houwen Peng, Jianlong Fu, Yijuan Lu, Jiebo Luo
http://arxiv.org/abs/2012.02646v1
• [cs.CV]Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
Gongbo Liang, Yuanyuan Su, Sheng-Chieh Lin, Yu Zhang, Yuanyuan Zhang, Nathan Jacobs
http://arxiv.org/abs/2012.02368v1
• [cs.CV]PeR-ViS: Person Retrieval in Video Surveillance using Semantic Description
Parshwa Shah, Arpit Garg, Vandit Gajjar
http://arxiv.org/abs/2012.02408v1
• [cs.CV]Photoacoustic Image Reconstruction Beyond Supervised to Compensate Limit-view and Remove Artifacts
Hengrong Lan, Changchun Yang, Feng Gao, Fei Gao
http://arxiv.org/abs/2012.02472v1
• [cs.CV]Practical No-box Adversarial Attacks against DNNs
Qizhang Li, Yiwen Guo, Hao Chen
http://arxiv.org/abs/2012.02525v1
• [cs.CV]Prediction of Lane Number Using Results From Lane Detection
Panumate Chetprayoon, Fumihiko Takahashi, Yusuke Uchida
http://arxiv.org/abs/2012.02604v1
• [cs.CV]Rethinking movie genre classification with fine grained semantic clustering
Edward Fish, Dr Andrew Gilbert, Jon Weinbren
http://arxiv.org/abs/2012.02639v1
• [cs.CV]SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation
Marco Boschi, Luigi Di Stefano, Martino Alessandrini
http://arxiv.org/abs/2012.02502v1
• [cs.CV]SMPLy Benchmarking 3D Human Pose Estimation in the Wild
Vincent Leroy, Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Grégory Rogez
http://arxiv.org/abs/2012.02743v1
• [cs.CV]Self-Supervised VQA: Answering Visual Questions using Images and Captions
Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
http://arxiv.org/abs/2012.02356v1
• [cs.CV]Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Adam P. Harrison, Dazhou Guo, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu
http://arxiv.org/abs/2012.02383v1
• [cs.CV]Spatial-Temporal Alignment Network for Action Recognition and Detection
Junwei Liang, Liangliang Cao, Xuehan Xiong, Ting Yu, Alexander Hauptmann
http://arxiv.org/abs/2012.02426v1
• [cs.CV]Super-Selfish: Self-Supervised Learning onImages with PyTorch
Nicolas Wagner, Anirban Mukhopadhyay
http://arxiv.org/abs/2012.02706v1
• [cs.CV]Towards Good Practices of U-Net for Traffic Forecasting
Jingwei Xu, Jianjin Zhang, Zhiyu Yao, Yunbo Wang
http://arxiv.org/abs/2012.02598v1
• [cs.CV]Understanding Guided Image Captioning Performance across Domains
Edwin G. Ng, Bo Pang, Piyush Sharma, Radu Soricut
http://arxiv.org/abs/2012.02339v1
• [cs.CY]Adaptivity and Personalization Application Scenarios in eParticipation
Babis Magoutas, Gregoris Mentzas
http://arxiv.org/abs/2012.02571v1
• [cs.CY]Birdspotter: A Tool for Analyzing and Labeling Twitter Users
Rohit Ram, Quyu Kong, Marian-Andrei Rizoiu
http://arxiv.org/abs/2012.02370v1
• [cs.CY]Spatio-Temporal Analysis of On Demand Transit: A Case Study of Belleville, Canada
Irum Sanaullah, Nael Alsaleh, Shadi Djavadian, Bilal Farooq
http://arxiv.org/abs/2012.02600v1
• [cs.CY]The Treachery of Images in the Digital Sovereignty Debate
Jukka Ruohonen
http://arxiv.org/abs/2012.02724v1
• [cs.DB]Computational Complexity of Three Central Problems in Itemset Mining
Christian Bessiere, Mohamed-Bachir Belaid, Nadjib Lazaar
http://arxiv.org/abs/2012.02619v1
• [cs.DC]Energy Balanced Two-level Clustering for Large-Scale Wireless Sensor Networks based on the Gravitational Search Algorithm
Basilis Mamalis, Marios Perlitis
http://arxiv.org/abs/2012.02536v1
• [cs.DL]Ten Simple Rules for making a vocabulary FAIR
Simon J D Cox, Alejandra N Gonzalez-Beltran, Barbara Magagna, Maria-Cristina Marinescu
http://arxiv.org/abs/2012.02325v1
• [cs.DS]Distributed domination on graph classes with bounded expansion
Simeon Kublenz, Sebastian Siebertz, Alexandre Vigny
http://arxiv.org/abs/2012.02701v1
• [cs.ET]A Single-Cycle MLP Classifier Using Analog MRAM-based Neurons and Synapses
Ramtin Zand
http://arxiv.org/abs/2012.02695v1
• [cs.GR]Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders
Jie Yang, Lin Gao, Qingyang Tan, Yihua Huang, Shihong Xia, Yu-Kun Lai
http://arxiv.org/abs/2012.02459v1
• [cs.IR]FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint
Yao Wu, Jian Cao, Guandong Xu
http://arxiv.org/abs/2012.02292v1
• [cs.IR]Linear Regression Evaluation of Search Engine Automatic Search Performance Based on Hadoop and R
Hong Xiong
http://arxiv.org/abs/2012.02629v1
• [cs.IR]Research Progress of News Recommendation Methods
Jing Qin
http://arxiv.org/abs/2012.02360v1
• [cs.IT]Joint Channel Estimation and Data Decoding using SVM-based Receivers
Sami Akın, Maxim Penner, Jürgen Peissig
http://arxiv.org/abs/2012.02523v1
• [cs.IT]Massive MIMO with Dense Arrays and 1-bit Data Converters
Amine Mezghani, Faouzi Bellili, Robert W. Heath, Jr
http://arxiv.org/abs/2012.02680v1
• [cs.IT]Reconfigurable Intelligent Surface Aided Secure Transmission Exploiting Statistical CSI of Eavesdropper
Cen Liu, Chang Tian, Peixi Liu
http://arxiv.org/abs/2012.02466v1
• [cs.LG]A Variant of Gradient Descent Algorithm Based on Gradient Averaging
Saugata Purkayastha, Sukannya Purkayastha
http://arxiv.org/abs/2012.02387v1
• [cs.LG]A novel multi-classifier information fusion based on Dempster-Shafer theory: application to vibration-based fault detection
Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans
http://arxiv.org/abs/2012.02481v1
• [cs.LG]Advocating for Multiple Defense Strategies against Adversarial Examples
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Negrevergne
http://arxiv.org/abs/2012.02632v1
• [cs.LG]Application of deep learning to large scale riverine flow velocity estimation
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler Hesser, Peter K. Kitanidis, Eric F. Darve
http://arxiv.org/abs/2012.02620v1
• [cs.LG]Batch Group Normalization
Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro Esperanca, Guang-Zhong Yang, Zhenguo Li
http://arxiv.org/abs/2012.02782v1
• [cs.LG]Bayesian Active Learning for Wearable Stress and Affect Detection
Abhijith Ragav, Gautham Krishna Gudur
http://arxiv.org/abs/2012.02702v1
• [cs.LG]Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
http://arxiv.org/abs/2012.02334v1
• [cs.LG]Challenging common interpretability assumptions in feature attribution explanations
Jonathan Dinu, Jeffrey Bigham, J. Zico Kolter
http://arxiv.org/abs/2012.02748v1
• [cs.LG]Community detection using fast low-cardinality semidefinite programming
Po-Wei Wang, J. Zico Kolter
http://arxiv.org/abs/2012.02676v1
• [cs.LG]Concept-based model explanations for Electronic Health Records
Sebastien Baur, Shaobo Hou, Eric Loreaux, Diana Mincu, Anne Mottram, Ivan Protsyuk, Nenad Tomasev, Martin G Seneviratne, Alan Karthikesanlingam, Jessica Schrouff
http://arxiv.org/abs/2012.02308v1
• [cs.LG]DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park
http://arxiv.org/abs/2012.02681v1
• [cs.LG]Deep Learning for Medical Anomaly Detection — A Survey
Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes
http://arxiv.org/abs/2012.02364v1
• [cs.LG]Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Eric L. Manibardo, Ibai Laña, Javier Del Ser
http://arxiv.org/abs/2012.02260v1
• [cs.LG]Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
http://arxiv.org/abs/2012.02527v1
• [cs.LG]Detecting Trojaned DNNs Using Counterfactual Attributions
Karan Sikka, Indranil Sur, Susmit Jha, Anirban Roy, Ajay Divakaran
http://arxiv.org/abs/2012.02275v1
• [cs.LG]Divide and Learn: A Divide and Conquer Approach for Predict+Optimize
Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey
http://arxiv.org/abs/2012.02342v1
• [cs.LG]ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare
Ali Burak Ünal, Mete Akgün, Nico Pfeifer
http://arxiv.org/abs/2012.02688v1
• [cs.LG]Effect of the initial configuration of weights on the training and function of artificial neural networks
R. J. Jesus, M. L. Antunes, R. A. da Costa, S. N. Dorogovtsev, J. F. F. Mendes, R. L. Aguiar
http://arxiv.org/abs/2012.02550v1
• [cs.LG]Efficient semidefinite-programming-based inference for binary and multi-class MRFs
Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter
http://arxiv.org/abs/2012.02661v1
• [cs.LG]Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring
Gautham Krishna Gudur, Satheesh K. Perepu
http://arxiv.org/abs/2012.02539v1
• [cs.LG]Kernel-convoluted Deep Neural Networks with Data Augmentation
Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik
http://arxiv.org/abs/2012.02521v1
• [cs.LG]Logic Synthesis Meets Machine Learning:Trading Exactness for Generalization
Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Junior, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. de Abreu, Isac de Souza Campos, Augusto Berndt, Cristina Meinhardt, Jonata T. Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit O. Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee
http://arxiv.org/abs/2012.02530v1
• [cs.LG]MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It
Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Kenneth Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Michael Buch, Cindy Trinh, Thomas Atta-fosu, Fatih Cakir, Masoud Charkhabi, Xiaodong Chen, Jimmy Chiang, Dave Dexter, Woncheol Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika
http://arxiv.org/abs/2012.02328v1
• [cs.LG]Mitigating Bias in Federated Learning
Annie Abay, Yi Zhou, Nathalie Baracaldo, Shashank Rajamoni, Ebube Chuba, Heiko Ludwig
http://arxiv.org/abs/2012.02447v1
• [cs.LG]Model-Agnostic Learning to Meta-Learn
Arnout Devos, Yatin Dandi
http://arxiv.org/abs/2012.02684v1
• [cs.LG]Multimodal Privacy-preserving Mood Prediction from Mobile Data: A Preliminary Study
Terrance Liu, Paul Pu Liang, Michal Muszynski, Ryo Ishii, David Brent, Randy Auerbach, Nicholas Allen, Louis-Philippe Morency
http://arxiv.org/abs/2012.02359v1
• [cs.LG]Neural Dynamic Policies for End-to-End Sensorimotor Learning
Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak
http://arxiv.org/abs/2012.02788v1
• [cs.LG]Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
Woosuk Kwon, Gyeong-In Yu, Eunji Jeong, Byung-Gon Chun
http://arxiv.org/abs/2012.02732v1
• [cs.LG]Non-Asymptotic Analysis of Excess Risk via Empirical Risk Landscape
Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma
http://arxiv.org/abs/2012.02456v1
• [cs.LG]Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation
Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu
http://arxiv.org/abs/2012.02476v1
• [cs.LG]On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs
Behzad Shahrasbi, Venugopal Mani, Apoorv Reddy Arrabothu, Deepthi Sharma, Kannan Achan, Sushant Kumar
http://arxiv.org/abs/2012.02509v1
• [cs.LG]Optimising Design Verification Using Machine Learning: An Open Source Solution
B. Samhita Varambally, Naman Sehgal
http://arxiv.org/abs/2012.02453v1
• [cs.LG]Planning from Pixels using Inverse Dynamics Models
Keiran Paster, Sheila A. McIlraith, Jimmy Ba
http://arxiv.org/abs/2012.02419v1
• [cs.LG]Proximal Policy Optimization Smoothed Algorithm
Wangshu Zhu, Andre Rosendo
http://arxiv.org/abs/2012.02439v1
• [cs.LG]Relational Pretrained Transformers towards Democratizing Data Preparation [Vision]**
Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Sam Madden, Mourad Ouzzani
http://arxiv.org/abs/2012.02469v1
• [cs.LG]Representation Based Complexity Measures for Predicting Generalization in Deep Learning
Parth Natekar, Manik Sharma
http://arxiv.org/abs/2012.02775v1
• [cs.LG]Rethinking supervised learning: insights from biological learning and from calling it by its name
Alex Hernandez-Garcia
http://arxiv.org/abs/2012.02526v1
• [cs.LG]Towards Natural Robustness Against Adversarial Examples
Haoyu Chu, Shikui Wei, Yao Zhao
http://arxiv.org/abs/2012.02452v1
• [cs.LG]Universal Approximation Property of Neural Ordinary Differential Equations
Takeshi Teshima, Koichi Tojo, Masahiro Ikeda, Isao Ishikawa, Kenta Oono
http://arxiv.org/abs/2012.02414v1
• [cs.LG]Unsupervised Adversarially-Robust Representation Learning on Graphs
Jiarong Xu, Junru Chen, Yang Yang, Yizhou Sun, Chunping Wang, Jiangang Lu
http://arxiv.org/abs/2012.02486v1
• [cs.LG]Unsupervised embedding of trajectories captures the latent structure of mobility
Dakota Murray, Jisung Yoon, Sadamori Kojaku, Rodrigo Costas, Woo-Sung Jung, Staša Milojević, Yong-Yeol Ahn
http://arxiv.org/abs/2012.02785v1
• [cs.RO]A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations
Hamidreza Hashempour, Kiyanoush Nazari, Fangxun Zhong, Amir Ghalamzan E.
http://arxiv.org/abs/2012.02458v1
• [cs.RO]Autonomous Navigation with Mobile Robots using Deep Learning and the Robot Operating System
Anh Nguyen, Quang D. Tran
http://arxiv.org/abs/2012.02417v1
• [cs.RO]Decentralized Multi-target Tracking with Multiple Quadrotors using a PHD Filter
Aniket Shirsat, Spring Berman
http://arxiv.org/abs/2012.02340v1
• [cs.RO]DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning
Alper Ahmetoglu, M. Yunus Seker, Aysu Sayin, Serkan Bugur, Justus Piater, Erhan Oztop, Emre Ugur
http://arxiv.org/abs/2012.02532v1
• [cs.RO]LAMP: Learning a Motion Policy to Repeatedly Navigate in an Uncertain Environment
Florence Tsang, Tristan Walker, Ryan A. MacDonald, Armin Sadeghi, Stephen L. Smith
http://arxiv.org/abs/2012.02271v1
• [cs.RO]P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment
Tao Li, Ling Pei, Yan Xiang, Qi Wu, Songpengcheng Xia, Lihao Tao, Wenxian Yu
http://arxiv.org/abs/2012.02399v1
• [cs.RO]Pose-Based Servo Control with Soft Tactile Sensing
Nathan F. Lepora, John Lloyd
http://arxiv.org/abs/2012.02504v1
• [cs.RO]Spatial Language Understanding for Object Search in Partially Observed Cityscale Environments
Kaiyu Zheng, Deniz Bayazit, Rebecca Mathew, Ellie Pavlick, Stefanie Tellex
http://arxiv.org/abs/2012.02705v1
• [cs.SD]Predicting Emotions Perceived from Sounds
Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones
http://arxiv.org/abs/2012.02643v1
• [cs.SE]A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering
Ahmad Abdellatif, Khaled Badran, Diego Elias Costa, Emad Shihab
http://arxiv.org/abs/2012.02640v1
• [cs.SI]A Review of Latent Space Models for Social Networks
Juan Sosa, Lina Buitrago
http://arxiv.org/abs/2012.02307v1
• [cs.SI]Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic
Martin Müller, Marcel Salathé
http://arxiv.org/abs/2012.02197v1
• [cs.SI]Learning Node Representations from Noisy Graph Structures
Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi
http://arxiv.org/abs/2012.02434v1
• [cs.SI]Spread Mechanism and Influence Measurement of Online Rumors during COVID-19 Epidemic in China
Yiou Lin, Hang Lei, Yu Deng
http://arxiv.org/abs/2012.02446v1
• [econ.EM]A Canonical Representation of Block Matrices with Applications to Covariance and Correlation Matrices
Ilya Archakov, Peter Reinhard Hansen
http://arxiv.org/abs/2012.02698v1
• [econ.EM]A New Parametrization of Correlation Matrices
Ilya Archakov, Peter Reinhard Hansen
http://arxiv.org/abs/2012.02395v1
• [econ.GN]Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics
Bo Cowgill, Fabrizio Dell’Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau
http://arxiv.org/abs/2012.02394v1
• [econ.GN]The Managerial Effects of Algorithmic Fairness Activism
Bo Cowgill, Fabrizio Dell’Acqua, Sandra Matz
http://arxiv.org/abs/2012.02393v1
• [eess.AS]A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings
Puyuan Peng, Herman Kamper, Karen Livescu
http://arxiv.org/abs/2012.02221v1
• [eess.IV]Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Ngan Le, Trung Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savides
http://arxiv.org/abs/2012.02463v1
• [eess.IV]Statistical inference of the inter-sample Dice distribution for discriminative CNN brain lesion segmentation models
Kevin Raina
http://arxiv.org/abs/2012.02755v1
• [eess.IV]Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
Ali K. Z. Tehrani, Mina Amiri, Ivan M. Rosado-Mendez, Timothy J. Hall, Hassan Rivaz
http://arxiv.org/abs/2012.02738v1
• [eess.IV]XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors
Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, Shaohua Kevin Zhou, Rama Chellappa
http://arxiv.org/abs/2012.02407v1
• [eess.SP]Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals
Johanna Rock, Mate Toth, Paul Meissner, Franz Pernkopf
http://arxiv.org/abs/2012.02529v1
• [math.AT]Hierarchical Clustering and Zeroth Persistent Homology
İsmail Güzel, Atabey Kaygun
http://arxiv.org/abs/2012.02655v1
• [math.OC]Generalized Proximal Methods for Pose Graph Optimization
Taosha Fan, Todd Murphey
http://arxiv.org/abs/2012.02709v1
• [math.ST]Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models
Hien Duy Nguyen, TrungTin Nguyen, Faicel Chamroukhi, Geoffrey McLachlan
http://arxiv.org/abs/2012.02385v1
• [math.ST]Information Complexity Criterion for Model Selection in Robust Regression Using A New Robust Penalty Term
Esra Pamukçu, Mehmet Niyazi Çankaya
http://arxiv.org/abs/2012.02468v1
• [math.ST]Ordinal pattern dependence as a multivariate dependence measure
Annika Betken, Herold Dehling, Ines Münker, Alexander Schnurr
http://arxiv.org/abs/2012.02445v1
• [stat.AP]A latent variable approach to account for correlated inputs in global sensitivity analysis with cases from pharmacological systems modelling
Nicola Melillo, Adam S. Darwich
http://arxiv.org/abs/2012.02500v1
• [stat.AP]Efficient Social Distancing for COVID-19: An Integration of Economic Health and Public Health
Kexin Chen, Chi Seng Pun, Hoi Ying Wong
http://arxiv.org/abs/2012.02397v1
• [stat.CO]Penalised t-walk MCMC
Felipe J Medina-Aguayo, J Andrés Christen
http://arxiv.org/abs/2012.02293v1
• [stat.ME]Bayesian hierarchical space-time models to improve multispecies assessment by combining observations from disparate fish surveys
Chibuzor C. Nnanatu, Murray S. A. Thompson, Michael A. Spence, Elena Couce, Jeroen van der Kooij, Christopher P. Lynam
http://arxiv.org/abs/2012.02196v1
• [stat.ME]Derandomizing Knockoffs
Zhimei Ren, Yuting Wei, Emmanuel Candès
http://arxiv.org/abs/2012.02717v1
• [stat.ME]Joint Model for Survival and Multivariate Sparse Functional Data with Application to a Study of Alzheimer’s Disease
Cai Li, Luo Xiao, Sheng Luo
http://arxiv.org/abs/2012.02302v1
• [stat.ME]Latent function-on-scalar regression models for observed sequences of binary data: a restricted likelihood approach
Fatemeh Asgari, Mohammad Hossein Alamatsaz, Valeria Vitelli, Saeed Hayati
http://arxiv.org/abs/2012.02635v1
• [stat.ME]Optimal Bayesian hierarchical model to accelerate the development of tissue-agnostic drugs and basket trials
Liyun Jiang, Lei Nie, Fangrong Yan, Ying Yuan
http://arxiv.org/abs/2012.02378v1
• [stat.ML]Non-monotone risk functions for learning
Matthew J. Holland
http://arxiv.org/abs/2012.02424v1
• [stat.ML]When does gradient descent with logistic loss find interpolating two-layer networks?
Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett
http://arxiv.org/abs/2012.02409v1