cs.AI - 人工智能
cs.CL - 计算与语言 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.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.optics - 光学 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学
• [cs.AI]Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management
• [cs.AI]Compliance Generation for Privacy Documents under GDPR: A Roadmap for Implementing Automation and Machine Learning
• [cs.AI]Goal Reasoning by Selecting Subgoals with Deep Q-Learning
• [cs.AI]Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach
• [cs.AI]Overview of FPGA deep learning acceleration based on convolutional neural network
• [cs.AI]Stability in Abstract Argumentation
• [cs.AI]Turn Signal Prediction: A Federated Learning Case Study
• [cs.CL]A Multimodal Framework for the Detection of Hateful Memes
• [cs.CL]ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
• [cs.CL]Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition
• [cs.CL]Automated Lay Language Summarization of Biomedical Scientific Reviews
• [cs.CL]Automatic Scansion of Spanish Poetry without Syllabification
• [cs.CL]Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing
• [cs.CL]Code Switching Language Model Using Monolingual Training Data
• [cs.CL]Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective
• [cs.CL]Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020
• [cs.CL]EmotionGIF-IITP-AINLPML: Ensemble-based Automated Deep Neural System for predicting category(ies) of a GIF response
• [cs.CL]Future-Guided Incremental Transformer for Simultaneous Translation
• [cs.CL]Learning Dense Representations of Phrases at Scale
• [cs.CL]Multi-Head Self-Attention with Role-Guided Masks
• [cs.CL]Negation in Cognitive Reasoning
• [cs.CL]Simple-QE: Better Automatic Quality Estimation for Text Simplification
• [cs.CL]TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems
• [cs.CV]A Structure-Aware Method for Direct Pose Estimation
• [cs.CV]A Survey on Visual Transformer
• [cs.CV]ANR: Articulated Neural Rendering for Virtual Avatars
• [cs.CV]Active Sampling for Accelerated MRI with Low-Rank Tensors
• [cs.CV]Blur More To Deblur Better: Multi-Blur2Deblur For Efficient Video Deblurring
• [cs.CV]CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80
• [cs.CV]Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters
• [cs.CV]ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition
• [cs.CV]Correspondence Learning for Controllable Person Image Generation
• [cs.CV]DAGMapper: Learning to Map by Discovering Lane Topology
• [cs.CV]Deep Semantic Dictionary Learning for Multi-label Image Classification
• [cs.CV]Deep Unsupervised Image Hashing by Maximizing Bit Entropy
• [cs.CV]Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression
• [cs.CV]Efficient video annotation with visual interpolation and frame selection guidance
• [cs.CV]Estimation of Driver’s Gaze Region from Head Position and Orientation using Probabilistic Confidence Regions
• [cs.CV]Exploring Instance-Level Uncertainty for Medical Detection
• [cs.CV]Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
• [cs.CV]FcaNet: Frequency Channel Attention Networks
• [cs.CV]Flexible deep transfer learning by separate feature embeddings and manifold alignment
• [cs.CV]Focal Frequency Loss for Generative Models
• [cs.CV]Generative Interventions for Causal Learning
• [cs.CV]Hierarchical Recurrent Attention Networks for Structured Online Maps
• [cs.CV]ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation
• [cs.CV]IIRC: Incremental Implicitly-Refined Classification
• [cs.CV]Learning Joint 2D-3D Representations for Depth Completion
• [cs.CV]Localization in the Crowd with Topological Constraints
• [cs.CV]MG-SAGC: A multiscale graph and its self-adaptive graph convolution network for 3D point clouds
• [cs.CV]Multi-Modality Cut and Paste for 3D Object Detection
• [cs.CV]Multi-Task Multi-Sensor Fusion for 3D Object Detection
• [cs.CV]Multi-grained Trajectory Graph Convolutional Networks for Habit-unrelated Human Motion Prediction
• [cs.CV]Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video
• [cs.CV]On Calibration of Scene-Text Recognition Models
• [cs.CV]Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning
• [cs.CV]Optical Braille Recognition Using Object Detection CNN
• [cs.CV]Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars
• [cs.CV]Principled network extraction from images
• [cs.CV]SWA Object Detection
• [cs.CV]Seeing past words: Testing the cross-modal capabilities of pretrained V&L models
• [cs.CV]Skeleton-based Approaches based on Machine Vision: A Survey
• [cs.CV]The Translucent Patch: A Physical and Universal Attack on Object Detectors
• [cs.CV]Towards Overcoming False Positives in Visual Relationship Detection
• [cs.CV]Training data-efficient image transformers & distillation through attention
• [cs.CV]Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer
• [cs.CV]Vehicle Re-identification Based on Dual Distance Center Loss
• [cs.CV]Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild
• [cs.CV]Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications
• [cs.CY]Facebook Ad Engagement in the Russian Active Measures Campaign of 2016
• [cs.DB]Learned Indexes for a Google-scale Disk-based Database
• [cs.DC]A Flat-Combining-Based Persistent Stack for Non-Volatile Memory
• [cs.DC]BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training
• [cs.DC]Soap serialization effect on communication nodes and protocols
• [cs.HC]What Makes People Install a COVID-19 Contact-Tracing App? Understanding the Influence of App Design and Individual Difference on Contact-Tracing App Adoption Intention
• [cs.IR]A Note on the Significance Adjustment for FA*IR with Two Protected Groups
• [cs.IR]Design and Implementation of Curriculum System Based on Knowledge Graph
• [cs.IR]Fake News Data Collection and Classification: Iterative Query Selection for Opaque Search Engines with Pseudo Relevance Feedback
• [cs.IR]Towards Fair Personalization by Avoiding Feedback Loops
• [cs.IT]A hidden anti-jamming method based on deep reinforcement learning
• [cs.IT]C-RAN Zero-Forcing with Imperfect CSI: Analysis and Precode&Quantize Feedback
• [cs.IT]Entropic Measures of Complexity in a New Medical Coding System
• [cs.IT]Hybrid RIS-Empowered Reflection and Decode-and-Forward Relaying for Coverage Extension
• [cs.IT]NBIHT: An Efficient Algorithm for 1-bit Compressed Sensing with Optimal Error Decay Rate
• [cs.IT]Secure Wireless Communication in RIS-Aided MISO Systems with Hardware Impairments
• [cs.IT]Understanding Age of Information in Large-Scale Wireless Networks
• [cs.LG]Adaptive Precision Training for Resource Constrained Devices
• [cs.LG]Analyzing Representations inside Convolutional Neural Networks
• [cs.LG]Augmenting Policy Learning with Routines Discovered from a Demonstration
• [cs.LG]AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
• [cs.LG]BENN: Bias Estimation Using Deep Neural Network
• [cs.LG]Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI
• [cs.LG]Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare
• [cs.LG]Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery
• [cs.LG]EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization
• [cs.LG]Efficient Continual Learning with Modular Networks and Task-Driven Priors
• [cs.LG]Fractal Dimension Generalization Measure
• [cs.LG]Global Models for Time Series Forecasting: A Simulation Study
• [cs.LG]Gradient-Free Adversarial Attacks for Bayesian Neural Networks
• [cs.LG]Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling
• [cs.LG]Hybrid FL: Algorithms and Implementation
• [cs.LG]IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks
• [cs.LG]Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data
• [cs.LG]Motif-Driven Contrastive Learning of Graph Representations
• [cs.LG]Noisy Labels Can Induce Good Representations
• [cs.LG]On Frank-Wolfe Optimization for Adversarial Robustness and Interpretability
• [cs.LG]Probabilistic Outlier Detection and Generation
• [cs.LG]Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties
• [cs.LG]Self-supervised self-supervision by combining deep learning and probabilistic logic
• [cs.LG]Small-Group Learning, with Application to Neural Architecture Search
• [cs.LG]Stochastic Gradient Variance Reduction by Solving a Filtering Problem
• [cs.LG]The Life and Death of SSDs and HDDs: Similarities, Differences, and Prediction Models
• [cs.LG]Towards Automated Satellite Conjunction Management with Bayesian Deep Learning
• [cs.LG]Video Influencers: Unboxing the Mystique
• [cs.MA]Distributed Adaptive Control: An ideal Cognitive Architecture candidate for managing a robotic recycling plant
• [cs.MA]Distributed Q-Learning with State Tracking for Multi-agent Networked Control
• [cs.NE]Evolving Neural Architecture Using One Shot Model
• [cs.NI]Minimising Delay and Energy in Online Dynamic Fog Systems
• [cs.RO]A Survey of Recent Developments in Collision Avoidance, Collision Warning and Inter-Vehicle Communication Systems
• [cs.RO]Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization
• [cs.RO]Group-Aware Robot Navigation in Crowded Environments
• [cs.RO]Robot Operating System Compatible Mobile Robots for Education and Research
• [cs.RO]SEAN-EP: A Platform for Collecting Human Feedback for Social Robot Navigation at Scale
• [cs.RO]Sensing and Reconstruction of 3D Deformation on Pneumatic Soft Robots
• [cs.RO]SmartShuttle: Model Based Design and Evaluation of Automated On-Demand Shuttles for Solving the First-Mile and Last-Mile Problem in a Smart City
• [cs.RO]State of the Art of Adaptive Cruise Control and Stop and Go Systems
• [cs.RO]Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks
• [cs.RO]Workspace Analysis and Optimal Design of Cable-Driven Parallel Robots via Auxiliary Counterbalances
• [cs.SE]All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees
• [cs.SI]Analysis of co-authorship networks among Brazilian graduate programs in computer science
• [cs.SI]Attention and Misinformation Sharing On Social Media
• [cs.SI]Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization
• [cs.SI]GAHNE: Graph-Aggregated Heterogeneous Network Embedding
• [econ.EM]Invidious Comparisons: Ranking and Selection as Compound Decisions
• [econ.EM]Machine Learning Advances for Time Series Forecasting
• [eess.IV]Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures
• [eess.IV]Diabetic Retinopathy Grading System Based on Transfer Learning
• [eess.IV]GANDA: A deep generative adversarial network predicts the spatial distribution of nanoparticles in tumor pixelly
• [eess.IV]HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models
• [eess.IV]Multi-Contrast Computed Tomography Healthy Kidney Atlas
• [eess.IV]Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning
• [eess.IV]Prognostic Power of Texture Based Morphological Operations in a Radiomics Study for Lung Cancer
• [eess.IV]QuickTumorNet: Fast Automatic Multi-Class Segmentation of Brain Tumors
• [eess.IV]RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior
• [eess.IV]StainNet: a fast and robust stain normalization network
• [eess.IV]Towards Boosting the Channel Attention in Real Image Denoising : Sub-band Pyramid Attention
• [eess.IV]Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks
• [eess.SY]Learning the Gap in the Day-Ahead and Real-Time Locational Marginal Prices in the Electricity Market
• [eess.SY]The Less Intelligent the Elements, the More Intelligent the Whole. Or, Possibly Not?
• [math.NA]An overview on deep learning-based approximation methods for partial differential equations
• [math.OC]A note on overrelaxation in the Sinkhorn algorithm
• [math.OC]Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs
• [math.OC]Hybrid Feedback for Global Attitude Tracking
• [math.PR]Strong Laws of Large Numbers for Generalizations of Fréchet Mean Sets
• [math.PR]Strong laws of large numbers for Fréchet means
• [math.PR]Zeros of Gaussian Weyl-Heisenberg functions and hyperuniformity of charge
• [math.ST]A Modern Analysis of Hutchinson’s Trace Estimator
• [math.ST]Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
• [math.ST]Testing whether a Learning Procedure is Calibrated
• [nlin.AO]Learning emergent PDEs in a learned emergent space
• [physics.optics]Scalable Optical Learning Operator
• [q-bio.NC]Is the brain macroscopically linear? A system identification of resting state dynamics
• [q-bio.NC]The structure of behavioral data
• [q-bio.PE]Modelling a novel Coronavirus (COVID-19): A stochastic SEIR-HCD approach, with real-time parameter estimation & forecasting for Scotland
• [q-bio.QM]Deep manifold learning reveals hidden dynamics of proteasome autoregulation
• [quant-ph]Noiseless Direct Quantum Communications in the Face of Noisy Entanglement
• [quant-ph]Software Pipelining for Quantum Loop Programs
• [stat.AP]COVID-19 and other viruses: holding back its expansion by massive testing
• [stat.ME]Beyond Strictly Proper Scoring Rules: The Importance of Being Local
• [stat.ME]Data segmentation algorithms: Univariate mean change and beyond
• [stat.ME]Measurement bias: a structural perspective
• [stat.ME]Probabilistic Iterative Methods for Linear Systems
• [stat.ME]Score matching for compositional distributions
• [stat.ME]Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis
• [stat.ML]Evolutionary Variational Optimization of Generative Models
• [stat.ML]Matrix optimization based Euclidean embedding with outliers
• [stat.ML]Partial Identifiability in Discrete Data With Measurement Error
• [stat.ML]Unbiased Gradient Estimation for Distributionally Robust Learning
• [stat.ML]Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms
• [stat.OT]New plans orthogonal through the block factor
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• [cs.AI]Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management
Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao
http://arxiv.org/abs/2012.12620v1
• [cs.AI]Compliance Generation for Privacy Documents under GDPR: A Roadmap for Implementing Automation and Machine Learning
David Restrepo Amariles, Aurore Clément Troussel, Rajaa El Hamdani
http://arxiv.org/abs/2012.12718v1
• [cs.AI]Goal Reasoning by Selecting Subgoals with Deep Q-Learning
Carlos Núñez-Molina, Vladislav Nikolov, Ignacio Vellido, Juan Fernández-Olivares
http://arxiv.org/abs/2012.12335v1
• [cs.AI]Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach
Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
http://arxiv.org/abs/2012.12732v1
• [cs.AI]Overview of FPGA deep learning acceleration based on convolutional neural network
Simin Liu
http://arxiv.org/abs/2012.12634v1
• [cs.AI]Stability in Abstract Argumentation
Jean-Guy Mailly, Julien Rossit
http://arxiv.org/abs/2012.12588v1
• [cs.AI]Turn Signal Prediction: A Federated Learning Case Study
Sonal Doomra, Naman Kohli, Shounak Athavale
http://arxiv.org/abs/2012.12401v1
• [cs.CL]A Multimodal Framework for the Detection of Hateful Memes
Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis
http://arxiv.org/abs/2012.12871v1
• [cs.CL]ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby Lee, Jindong Chen
http://arxiv.org/abs/2012.12350v1
• [cs.CL]Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition
Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin
http://arxiv.org/abs/2012.11896v2
• [cs.CL]Automated Lay Language Summarization of Biomedical Scientific Reviews
Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen
http://arxiv.org/abs/2012.12573v1
• [cs.CL]Automatic Scansion of Spanish Poetry without Syllabification
Guillermo Marco Remón, Julio Gonzalo
http://arxiv.org/abs/2012.12799v1
• [cs.CL]Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing
Xi Victoria Lin, Richard Socher, Caiming Xiong
http://arxiv.org/abs/2012.12627v1
• [cs.CL]Code Switching Language Model Using Monolingual Training Data
Asad Ullah, Tauseef Ahmed
http://arxiv.org/abs/2012.12543v1
• [cs.CL]Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective
Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser
http://arxiv.org/abs/2012.12305v1
• [cs.CL]Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020
Ramchandra Joshi, Rushabh Karnavat, Kaustubh Jirapure, Raviraj Joshi
http://arxiv.org/abs/2012.12112v2
• [cs.CL]EmotionGIF-IITP-AINLPML: Ensemble-based Automated Deep Neural System for predicting category(ies) of a GIF response
Soumitra Ghosh, Arkaprava Roy, Asif Ekbal, Pushpak Bhattacharyya
http://arxiv.org/abs/2012.12756v1
• [cs.CL]Future-Guided Incremental Transformer for Simultaneous Translation
Shaolei Zhang, Yang Feng, Liangyou Li
http://arxiv.org/abs/2012.12465v1
• [cs.CL]Learning Dense Representations of Phrases at Scale
Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen
http://arxiv.org/abs/2012.12624v1
• [cs.CL]Multi-Head Self-Attention with Role-Guided Masks
Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma
http://arxiv.org/abs/2012.12366v1
• [cs.CL]Negation in Cognitive Reasoning
Claudia Schon, Sophie Siebert, Frieder Stolzenburg
http://arxiv.org/abs/2012.12641v1
• [cs.CL]Simple-QE: Better Automatic Quality Estimation for Text Simplification
Reno Kriz, Marianna Apidianaki, Chris Callison-Burch
http://arxiv.org/abs/2012.12382v1
• [cs.CL]TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems
Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Mihir Sanjay Kale
http://arxiv.org/abs/2012.12458v1
• [cs.CV]A Structure-Aware Method for Direct Pose Estimation
Hunter Blanton, Scott Workman, Nathan Jacobs
http://arxiv.org/abs/2012.12360v1
• [cs.CV]A Survey on Visual Transformer
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
http://arxiv.org/abs/2012.12556v1
• [cs.CV]ANR: Articulated Neural Rendering for Virtual Avatars
Amit Raj, Julian Tanke, James Hays, Minh Vo, Carsten Stoll, Christoph Lassner
http://arxiv.org/abs/2012.12890v1
• [cs.CV]Active Sampling for Accelerated MRI with Low-Rank Tensors
Zichang He, Bo Zhao, Zheng Zhang
http://arxiv.org/abs/2012.12496v1
• [cs.CV]Blur More To Deblur Better: Multi-Blur2Deblur For Efficient Video Deblurring
Dongwon Park, Dong Un Kang, Se Young Chun
http://arxiv.org/abs/2012.12507v1
• [cs.CV]CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80
W. -Y. Hong, C. -L. Kao, Y. -H. Kuo, J. -R. Wang, W. -L. Chang, C. -S. Shih
http://arxiv.org/abs/2012.12453v1
• [cs.CV]Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters
Ahmed Zgaren, Wassim Bouachir, Riadh Ksantini
http://arxiv.org/abs/2012.12784v1
• [cs.CV]ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition
Zuoyu Yan, Xiaode Zhang, Liangcai Gao, Ke Yuan, Zhi Tang
http://arxiv.org/abs/2012.12619v1
• [cs.CV]Correspondence Learning for Controllable Person Image Generation
Shilong Shen
http://arxiv.org/abs/2012.12440v1
• [cs.CV]DAGMapper: Learning to Map by Discovering Lane Topology
Namdar Homayounfar, Wei-Chiu Ma, Justin Liang, Xinyu Wu, Jack Fan, Raquel Urtasun
http://arxiv.org/abs/2012.12377v1
• [cs.CV]Deep Semantic Dictionary Learning for Multi-label Image Classification
Fengtao Zhou, Sheng Huang, Yun Xing
http://arxiv.org/abs/2012.12509v1
• [cs.CV]Deep Unsupervised Image Hashing by Maximizing Bit Entropy
Yunqiang Li, Jan van Gemert
http://arxiv.org/abs/2012.12334v1
• [cs.CV]Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression
Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li
http://arxiv.org/abs/2012.12626v1
• [cs.CV]Efficient video annotation with visual interpolation and frame selection guidance
A. Kuznetsova, A. Talati, Y. Luo, K. Simmons, V. Ferrari
http://arxiv.org/abs/2012.12554v1
• [cs.CV]Estimation of Driver’s Gaze Region from Head Position and Orientation using Probabilistic Confidence Regions
Sumit Jha, Carlos Busso
http://arxiv.org/abs/2012.12754v1
• [cs.CV]Exploring Instance-Level Uncertainty for Medical Detection
Jiawei Yang, Yuan Liang, Yao Zhang, Weinan Song, Kun Wang, Lei He
http://arxiv.org/abs/2012.12880v1
• [cs.CV]Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
Wenjie Luo, Bin Yang, Raquel Urtasun
http://arxiv.org/abs/2012.12395v1
• [cs.CV]FcaNet: Frequency Channel Attention Networks
Zequn Qin, Pengyi Zhang, Fei Wu, Xi Li
http://arxiv.org/abs/2012.11879v2
• [cs.CV]Flexible deep transfer learning by separate feature embeddings and manifold alignment
Samuel Rivera, Joel Klipfel, Deborah Weeks
http://arxiv.org/abs/2012.12302v1
• [cs.CV]Focal Frequency Loss for Generative Models
Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy
http://arxiv.org/abs/2012.12821v1
• [cs.CV]Generative Interventions for Causal Learning
Chengzhi Mao, Amogh Gupta, Augustine Cha, Hao Wang, Junfeng Yang, Carl Vondrick
http://arxiv.org/abs/2012.12265v1
• [cs.CV]Hierarchical Recurrent Attention Networks for Structured Online Maps
Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun
http://arxiv.org/abs/2012.12314v1
• [cs.CV]ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation
Guodong Zeng, Till D. Lerch, Florian Schmaranzer, Guoyan Zheng, Juergen Burger, Kate Gerber, Moritz Tannast, Klaus Siebenrock, Nicolas Gerber
http://arxiv.org/abs/2012.12570v1
• [cs.CV]IIRC: Incremental Implicitly-Refined Classification
Mohamed Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar
http://arxiv.org/abs/2012.12477v1
• [cs.CV]Learning Joint 2D-3D Representations for Depth Completion
Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun
http://arxiv.org/abs/2012.12402v1
• [cs.CV]Localization in the Crowd with Topological Constraints
Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen
http://arxiv.org/abs/2012.12482v1
• [cs.CV]MG-SAGC: A multiscale graph and its self-adaptive graph convolution network for 3D point clouds
Bo Wu, Bo Lang
http://arxiv.org/abs/2012.12445v1
• [cs.CV]Multi-Modality Cut and Paste for 3D Object Detection
Wenwei Zhang, Zhe Wang, Chen Change Loy
http://arxiv.org/abs/2012.12741v1
• [cs.CV]Multi-Task Multi-Sensor Fusion for 3D Object Detection
Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun
http://arxiv.org/abs/2012.12397v1
• [cs.CV]Multi-grained Trajectory Graph Convolutional Networks for Habit-unrelated Human Motion Prediction
Jin Liu, Jianqin Yin
http://arxiv.org/abs/2012.12558v1
• [cs.CV]Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video
Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, Christian Theobalt
http://arxiv.org/abs/2012.12247v2
• [cs.CV]On Calibration of Scene-Text Recognition Models
Ron Slossberg, Oron Anschel, Amir Markovitz, Ron Litman, Aviad Aberdam, Shahar Tsiper, Shai Mazor, Jon Wu, R. Manmatha
http://arxiv.org/abs/2012.12643v1
• [cs.CV]Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning
Kevin A. Thomas, Dominik Krzemiński, Łukasz Kidziński, Rohan Paul, Elka B. Rubin, Eni Halilaj, Marianne S. Black, Akshay Chaudhari, Garry E. Gold, Scott L. Delp
http://arxiv.org/abs/2012.12406v1
• [cs.CV]Optical Braille Recognition Using Object Detection CNN
Ilya G. Ovodov
http://arxiv.org/abs/2012.12412v1
• [cs.CV]Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars
Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, Raquel Urtasun
http://arxiv.org/abs/2012.12437v1
• [cs.CV]Principled network extraction from images
Diego Baptista, Caterina De Bacco
http://arxiv.org/abs/2012.12758v1
• [cs.CV]SWA Object Detection
Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf
http://arxiv.org/abs/2012.12645v1
• [cs.CV]Seeing past words: Testing the cross-modal capabilities of pretrained V&L models
Letitia Parcalabescu, Albert Gatt, Anette Frank, Iacer Calixto
http://arxiv.org/abs/2012.12352v1
• [cs.CV]Skeleton-based Approaches based on Machine Vision: A Survey
Jie Li, Binglin Li, Min Gao
http://arxiv.org/abs/2012.12447v1
• [cs.CV]The Translucent Patch: A Physical and Universal Attack on Object Detectors
Alon Zolfi, Moshe Kravchik, Yuval Elovici, Asaf Shabtai
http://arxiv.org/abs/2012.12528v1
• [cs.CV]Towards Overcoming False Positives in Visual Relationship Detection
Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Zhoujun Li, Xianglong Li, Hongsheng Li
http://arxiv.org/abs/2012.12510v1
• [cs.CV]Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou
http://arxiv.org/abs/2012.12877v1
• [cs.CV]Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer
Suhyeon Lee, Junhyuk Hyun, Hongje Seong, Euntai Kim
http://arxiv.org/abs/2012.12545v1
• [cs.CV]Vehicle Re-identification Based on Dual Distance Center Loss
Zhijun Hu, Yong Xu, Jie Wen, Lilei Sun, Raja S P
http://arxiv.org/abs/2012.12519v1
• [cs.CV]Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild
Chung-Yi Weng, Brian Curless, Ira Kemelmacher-Shlizerman
http://arxiv.org/abs/2012.12884v1
• [cs.CV]Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications
Christopher Grimm, Tai Fei, Ernst Warsitz, Ridha Farhoud, Tobias Breddermann, Reinhold Haeb-Umbach
http://arxiv.org/abs/2012.12809v1
• [cs.CY]Facebook Ad Engagement in the Russian Active Measures Campaign of 2016
Mirela Silva, Luiz Giovanini, Juliana Fernandes, Daniela Oliveira, Catia S. Silva
http://arxiv.org/abs/2012.11690v2
• [cs.DB]Learned Indexes for a Google-scale Disk-based Database
Hussam Abu-Libdeh, Deniz Altınbüken, Alex Beutel, Ed H. Chi, Lyric Doshi, Tim Kraska, Xiaozhou, Li, Andy Ly, Christopher Olston
http://arxiv.org/abs/2012.12501v1
• [cs.DC]A Flat-Combining-Based Persistent Stack for Non-Volatile Memory
Matan Rusanovsky, Ohad Ben-Baruch, Danny Hendler, Pedro Ramalhete
http://arxiv.org/abs/2012.12868v1
• [cs.DC]BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training
Letian Zhao, Rui Xu, Tianqi Wang, Teng Tian, Xiaotian Wang, Wei Wu, Chio-in Ieong, Xi Jin
http://arxiv.org/abs/2012.12544v1
• [cs.DC]Soap serialization effect on communication nodes and protocols
Ali Baba Dauda, Mohammed Sani Adam, Muhammad Ahmad Mustapha, Audu Musa Mabu, Suleiman Mustafa
http://arxiv.org/abs/2012.12578v1
• [cs.HC]What Makes People Install a COVID-19 Contact-Tracing App? Understanding the Influence of App Design and Individual Difference on Contact-Tracing App Adoption Intention
Tianshi Li, Camille Cobb, Jackie, Yang, Sagar Baviskar, Yuvraj Agarwal, Beibei Li, Lujo Bauer, Jason I. Hong
http://arxiv.org/abs/2012.12415v1
• [cs.IR]**A Note on the Significance Adjustment for FAIR with Two Protected Groups
Meike Zehlike, Tom Sühr, Carlos Castillo
http://arxiv.org/abs/2012.12795v1
• [cs.IR]Design and Implementation of Curriculum System Based on Knowledge Graph
Xiaobing Yu, Mike Stahr, Han Chen, Runming Yan
http://arxiv.org/abs/2012.12522v1
• [cs.IR]Fake News Data Collection and Classification: Iterative Query Selection for Opaque Search Engines with Pseudo Relevance Feedback
Aviad Elyashar, Maor Reuben, Rami Puzis
http://arxiv.org/abs/2012.12498v1
• [cs.IR]Towards Fair Personalization by Avoiding Feedback Loops
Gökhan Çapan, Özge Bozal, İlker Gündoğdu, Ali Taylan Cemgil
http://arxiv.org/abs/2012.12862v1
• [cs.IT]A hidden anti-jamming method based on deep reinforcement learning
Yifan Wang, Xin Liu, Mei Wang, Yu Yu
http://arxiv.org/abs/2012.12448v1
• [cs.IT]C-RAN Zero-Forcing with Imperfect CSI: Analysis and Precode&Quantize Feedback
Niv Arad, Yair Noam
http://arxiv.org/abs/2012.12551v1
• [cs.IT]Entropic Measures of Complexity in a New Medical Coding System
Jerome Niyirora
http://arxiv.org/abs/2012.12506v1
• [cs.IT]Hybrid RIS-Empowered Reflection and Decode-and-Forward Relaying for Coverage Extension
Ibrahim Yildirim, Fatih Kilinc, Ertugrul Basar, George C. Alexandropoulos
http://arxiv.org/abs/2012.12329v1
• [cs.IT]NBIHT: An Efficient Algorithm for 1-bit Compressed Sensing with Optimal Error Decay Rate
Michael P. Friedlander, Halyun Jeong, Yaniv Plan, Ozgur Yilmaz
http://arxiv.org/abs/2012.12886v1
• [cs.IT]Secure Wireless Communication in RIS-Aided MISO Systems with Hardware Impairments
Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Zhangjie Peng
http://arxiv.org/abs/2012.12733v1
• [cs.IT]Understanding Age of Information in Large-Scale Wireless Networks
Howard H. Yang, Chao Xu, Xijun Wang, Daquan Feng, Tony Q. S. Quek
http://arxiv.org/abs/2012.12472v1
• [cs.LG]Adaptive Precision Training for Resource Constrained Devices
Tian Huang, Tao Luo, Joey Tianyi Zhou
http://arxiv.org/abs/2012.12775v1
• [cs.LG]Analyzing Representations inside Convolutional Neural Networks
Uday Singh Saini, Evangelos E. Papalexakis
http://arxiv.org/abs/2012.12516v1
• [cs.LG]Augmenting Policy Learning with Routines Discovered from a Demonstration
Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua Tenenbaum
http://arxiv.org/abs/2012.12469v1
• [cs.LG]AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys
http://arxiv.org/abs/2012.12600v1
• [cs.LG]BENN: Bias Estimation Using Deep Neural Network
Amit Giloni, Edita Grolman, Tanja Hagemann, Ronald Fromm, Sebastian Fischer, Yuval Elovici, Asaf Shabtai
http://arxiv.org/abs/2012.12537v1
• [cs.LG]Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI
Parisa Ghane, Ulisses Braga-Neto
http://arxiv.org/abs/2012.12473v1
• [cs.LG]Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare
Manish Gawali, Arvind C S, Shriya Suryavanshi, Harshit Madaan, Ashrika Gaikwad, Bhanu Prakash KN, Viraj Kulkarni, Aniruddha Pant
http://arxiv.org/abs/2012.12591v1
• [cs.LG]Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery
Bin Liu, Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas
http://arxiv.org/abs/2012.12325v1
• [cs.LG]EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization
Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
http://arxiv.org/abs/2012.12843v1
• [cs.LG]Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Veniat, Ludovic Denoyer, Marc’Aurelio Ranzato
http://arxiv.org/abs/2012.12631v1
• [cs.LG]Fractal Dimension Generalization Measure
Valeri Alexiev
http://arxiv.org/abs/2012.12384v1
• [cs.LG]Global Models for Time Series Forecasting: A Simulation Study
Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
http://arxiv.org/abs/2012.12485v1
• [cs.LG]Gradient-Free Adversarial Attacks for Bayesian Neural Networks
Matthew Yuan, Matthew Wicker, Luca Laurenti
http://arxiv.org/abs/2012.12640v1
• [cs.LG]Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling
Vitaly Feldman, Audra McMillan, Kunal Talwar
http://arxiv.org/abs/2012.12803v1
• [cs.LG]Hybrid FL: Algorithms and Implementation
Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen
http://arxiv.org/abs/2012.12420v1
• [cs.LG]IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks
Wei Qiu, Yangsibo Huang, Quanzheng Li
http://arxiv.org/abs/2012.12581v1
• [cs.LG]Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data
Alan D. Kaplan, Qi Cheng, K. Aditya Mohan, Lindsay D. Nelson, Sonia Jain, Harvey Levin, Abel Torres-Espin, Austin Chou, J. Russell Huie, Adam R. Ferguson, Michael McCrea, Joseph Giacino, Shivshankar Sundaram, Amy J. Markowitz, Geoffrey T. Manley
http://arxiv.org/abs/2012.12310v1
• [cs.LG]Motif-Driven Contrastive Learning of Graph Representations
Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun
http://arxiv.org/abs/2012.12533v1
• [cs.LG]Noisy Labels Can Induce Good Representations
Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba
http://arxiv.org/abs/2012.12896v1
• [cs.LG]On Frank-Wolfe Optimization for Adversarial Robustness and Interpretability
Theodoros Tsiligkaridis, Jay Roberts
http://arxiv.org/abs/2012.12368v1
• [cs.LG]Probabilistic Outlier Detection and Generation
Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen, Sanjay Chawla
http://arxiv.org/abs/2012.12394v1
• [cs.LG]Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel
http://arxiv.org/abs/2012.12687v1
• [cs.LG]Self-supervised self-supervision by combining deep learning and probabilistic logic
Hunter Lang, Hoifung Poon
http://arxiv.org/abs/2012.12474v1
• [cs.LG]Small-Group Learning, with Application to Neural Architecture Search
Xuefeng Du, Pengtao Xie
http://arxiv.org/abs/2012.12502v1
• [cs.LG]Stochastic Gradient Variance Reduction by Solving a Filtering Problem
Xingyi Yang
http://arxiv.org/abs/2012.12418v1
• [cs.LG]The Life and Death of SSDs and HDDs: Similarities, Differences, and Prediction Models
Riccardo Pinciroli, Lishan Yang, Jacob Alter, Evgenia Smirni
http://arxiv.org/abs/2012.12373v1
• [cs.LG]Towards Automated Satellite Conjunction Management with Bayesian Deep Learning
Francesco Pinto, Giacomo Acciarini, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atılım Güneş Baydin
http://arxiv.org/abs/2012.12450v1
• [cs.LG]Video Influencers: Unboxing the Mystique
Prashant Rajaram, Puneet Manchanda
http://arxiv.org/abs/2012.12311v1
• [cs.MA]Distributed Adaptive Control: An ideal Cognitive Architecture candidate for managing a robotic recycling plant
Oscar Guerrero-Rosado, Paul Verschure
http://arxiv.org/abs/2012.12586v1
• [cs.MA]Distributed Q-Learning with State Tracking for Multi-agent Networked Control
Hang Wang, Sen Lin, Hamid Jafarkhani, Junshan Zhang
http://arxiv.org/abs/2012.12383v1
• [cs.NE]Evolving Neural Architecture Using One Shot Model
Nilotpal Sinha, Kuan-Wen Chen
http://arxiv.org/abs/2012.12540v1
• [cs.NI]Minimising Delay and Energy in Online Dynamic Fog Systems
Faten Alenizi, Omer Rana
http://arxiv.org/abs/2012.12745v1
• [cs.RO]A Survey of Recent Developments in Collision Avoidance, Collision Warning and Inter-Vehicle Communication Systems
Oncu Ararat, Bilin Aksun-Guvenc
http://arxiv.org/abs/2012.12441v1
• [cs.RO]Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization
Pengdi Huang, Liqiang Lin, Kai Xu, Hui Huang
http://arxiv.org/abs/2012.12642v1
• [cs.RO]Group-Aware Robot Navigation in Crowded Environments
Kapil Katyal, Yuxiang Gao, Jared Markowitz, I-Jeng Wang, Chien-Ming Huang
http://arxiv.org/abs/2012.12291v1
• [cs.RO]Robot Operating System Compatible Mobile Robots for Education and Research
Alim Kerem Erdogmuş, Didem Ozupek Tas, Mustafa Karaca, Ugur Yayan
http://arxiv.org/abs/2012.12527v1
• [cs.RO]SEAN-EP: A Platform for Collecting Human Feedback for Social Robot Navigation at Scale
Nathan Tsoi, Mohamed Hussein, Olivia Fugikawa, JD Zhao, Marynel Vázquez
http://arxiv.org/abs/2012.12336v1
• [cs.RO]Sensing and Reconstruction of 3D Deformation on Pneumatic Soft Robots
Rob B. N. Scharff, Guoxin Fang, Yingjun Tian, Jun Wu, Jo M. P. Geraedts, Charlie C. L. Wang
http://arxiv.org/abs/2012.12411v1
• [cs.RO]SmartShuttle: Model Based Design and Evaluation of Automated On-Demand Shuttles for Solving the First-Mile and Last-Mile Problem in a Smart City
Sukru Yaren Gelbal, Bilin Aksun-Guvenc, Levent Guvenc
http://arxiv.org/abs/2012.12431v1
• [cs.RO]State of the Art of Adaptive Cruise Control and Stop and Go Systems
Emre Kural, Tahsin Hacibekir, Bilin Aksun-Guvenc
http://arxiv.org/abs/2012.12438v1
• [cs.RO]Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks
Minho Hwang, Brijen Thananjeyan, Daniel Seita, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
http://arxiv.org/abs/2012.12844v1
• [cs.RO]Workspace Analysis and Optimal Design of Cable-Driven Parallel Robots via Auxiliary Counterbalances
Ronghuai Qi, Hamed Jamshidifar, Amir Khajepour
http://arxiv.org/abs/2012.12387v1
• [cs.SE]All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees
Jan Martijn E. M. van der Werf, Artem Polyvyanyy, Bart R. van Wensveen, Matthieu Brinkhuis, Hajo A. Reijers
http://arxiv.org/abs/2012.12764v1
• [cs.SI]Analysis of co-authorship networks among Brazilian graduate programs in computer science
Alex Junior Nunes da Silva, Matheus Montanini Breve, Jesús Pascual Mena-Chalco, Fabrício Martins Lopes
http://arxiv.org/abs/2012.12439v1
• [cs.SI]Attention and Misinformation Sharing On Social Media
Zaid Amin, Nazlena Mohamad Ali, Alan F. Smeaton
http://arxiv.org/abs/2012.12593v1
• [cs.SI]Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization
Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang
http://arxiv.org/abs/2012.12487v1
• [cs.SI]GAHNE: Graph-Aggregated Heterogeneous Network Embedding
Xiaohe Li, Lijie Wen, Chen Qian, Jianmin Wang
http://arxiv.org/abs/2012.12517v1
• [econ.EM]Invidious Comparisons: Ranking and Selection as Compound Decisions
Jiaying Gu, Roger Koenker
http://arxiv.org/abs/2012.12550v1
• [econ.EM]Machine Learning Advances for Time Series Forecasting
Ricardo P. Masini, Marcelo C. Medeiros, Eduardo F. Mendes
http://arxiv.org/abs/2012.12802v1
• [eess.IV]Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures
Candelaria Mosquera, Facundo Nahuel Diaz, Fernando Binder, Jose Martin Rabellino, Sonia Elizabeth Benitez, Alejandro Daniel Beresñak, Alberto Seehaus, Gabriel Ducrey, Jorge Alberto Ocantos, Daniel Roberto Luna
http://arxiv.org/abs/2012.12712v1
• [eess.IV]Diabetic Retinopathy Grading System Based on Transfer Learning
Eman AbdelMaksoud, Sherif Barakat, Mohammed Elmogy
http://arxiv.org/abs/2012.12515v1
• [eess.IV]GANDA: A deep generative adversarial network predicts the spatial distribution of nanoparticles in tumor pixelly
Jiulou Zhang, Yuxia Tang, Shouju Wang
http://arxiv.org/abs/2012.12561v1
• [eess.IV]HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models
Uğur Çoğalan, Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
http://arxiv.org/abs/2012.12009v2
• [eess.IV]Multi-Contrast Computed Tomography Healthy Kidney Atlas
Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman
http://arxiv.org/abs/2012.12432v1
• [eess.IV]Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning
Andreanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad, Yaou Liu
http://arxiv.org/abs/2012.12820v1
• [eess.IV]Prognostic Power of Texture Based Morphological Operations in a Radiomics Study for Lung Cancer
Paul Desbordes, Diksha, Benoit Macq
http://arxiv.org/abs/2012.12652v1
• [eess.IV]QuickTumorNet: Fast Automatic Multi-Class Segmentation of Brain Tumors
Benjamin Maas, Erfan Zabeh, Soroush Arabshahi
http://arxiv.org/abs/2012.12410v1
• [eess.IV]RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior
Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
http://arxiv.org/abs/2012.12425v1
• [eess.IV]StainNet: a fast and robust stain normalization network
Hongtao Kang, Die Luo, Weihua Feng, Li Chen, Junbo Hu, Shaoqun Zeng, Tingwei Quan, Xiuli Liu
http://arxiv.org/abs/2012.12535v1
• [eess.IV]Towards Boosting the Channel Attention in Real Image Denoising : Sub-band Pyramid Attention
Huayu Li, Haiyu Wu, Xiwen Chen, Hanning Zhang, Abolfazl Razi
http://arxiv.org/abs/2012.12481v1
• [eess.IV]Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks
Jelica Vasiljević, Friedrich Feuerhake, Cédric Wemmert, Thomas Lampert
http://arxiv.org/abs/2012.12413v1
• [eess.SY]Learning the Gap in the Day-Ahead and Real-Time Locational Marginal Prices in the Electricity Market
Nika Nizharadze, Arash Farokhi Soofi, Saeed D. Manshadi
http://arxiv.org/abs/2012.12792v1
• [eess.SY]The Less Intelligent the Elements, the More Intelligent the Whole. Or, Possibly Not?
Guido Fioretti, Andrea Policarpi
http://arxiv.org/abs/2012.12689v1
• [math.NA]An overview on deep learning-based approximation methods for partial differential equations
Christian Beck, Martin Hutzenthaler, Arnulf Jentzen, Benno Kuckuck
http://arxiv.org/abs/2012.12348v1
• [math.OC]A note on overrelaxation in the Sinkhorn algorithm
Tobias Lehmann, Max-K. von Renesse, Alexander Sambale, André Uschmajew
http://arxiv.org/abs/2012.12562v1
• [math.OC]Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs
Mitas Ray, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel
http://arxiv.org/abs/2012.12457v1
• [math.OC]Hybrid Feedback for Global Attitude Tracking
Miaomiao Wang, Abdelhamid Tayebi
http://arxiv.org/abs/2012.12470v1
• [math.PR]Strong Laws of Large Numbers for Generalizations of Fréchet Mean Sets
Christof Schötz
http://arxiv.org/abs/2012.12762v1
• [math.PR]Strong laws of large numbers for Fréchet means
Steven N. Evans, Adam Q. Jaffe
http://arxiv.org/abs/2012.12859v1
• [math.PR]Zeros of Gaussian Weyl-Heisenberg functions and hyperuniformity of charge
Antti Haimi, Günther Koliander, José Luis Romero
http://arxiv.org/abs/2012.12298v1
• [math.ST]A Modern Analysis of Hutchinson’s Trace Estimator
Maciej Skorski
http://arxiv.org/abs/2012.12895v1
• [math.ST]Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
Sinho Chewi, Chen Lu, Kwangjun Ahn, Xiang Cheng, Thibaut Le Gouic, Philippe Rigollet
http://arxiv.org/abs/2012.12810v1
• [math.ST]Testing whether a Learning Procedure is Calibrated
Jon Cockayne, Matthew M. Graham, Chris J. Oates, T. J. Sullivan
http://arxiv.org/abs/2012.12670v1
• [nlin.AO]Learning emergent PDEs in a learned emergent space
Felix P. Kemeth, Tom Bertalan, Thomas Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis
http://arxiv.org/abs/2012.12738v1
• [physics.optics]Scalable Optical Learning Operator
Uğur Teğin, Mustafa Yıldırım, İlker Oğuz, Christophe Moser, Demetri Psaltis
http://arxiv.org/abs/2012.12404v1
• [q-bio.NC]Is the brain macroscopically linear? A system identification of resting state dynamics
Erfan Nozari, Jennifer Stiso, Lorenzo Caciagli, Eli J. Cornblath, Xiaosong He, Maxwell A. Bertolero, Arun S. Mahadevan, George J. Pappas, Danielle S. Bassett
http://arxiv.org/abs/2012.12351v1
• [q-bio.NC]The structure of behavioral data
Aurélien Defossez, Morteza Ansarinia, Brice Clocher, Emmanuel Schmück, Paul Schrater, Pedro Cardoso-Leite
http://arxiv.org/abs/2012.12583v1
• [q-bio.PE]Modelling a novel Coronavirus (COVID-19): A stochastic SEIR-HCD approach, with real-time parameter estimation & forecasting for Scotland
Jonathan Wells, Chris Robertson, Vincent Marmara, Alan Yeung, Adam Kleczkowski
http://arxiv.org/abs/2012.12390v1
• [q-bio.QM]Deep manifold learning reveals hidden dynamics of proteasome autoregulation
Zhaolong Wu, Shuwen Zhang, Wei Li Wang, Yinping Ma, Yuanchen Dong, Youdong Mao
http://arxiv.org/abs/2012.12854v1
• [quant-ph]Noiseless Direct Quantum Communications in the Face of Noisy Entanglement
Daryus Chandra, Angela Sara Cacciapuoti, Marcello Caleffi, Lajos Hanzo
http://arxiv.org/abs/2012.11982v1
• [quant-ph]Software Pipelining for Quantum Loop Programs
Jingzhe Guo, Mingsheng Ying
http://arxiv.org/abs/2012.12700v1
• [stat.AP]COVID-19 and other viruses: holding back its expansion by massive testing
José Luis Sainz-Pardo, José Valero
http://arxiv.org/abs/2012.12345v1
• [stat.ME]Beyond Strictly Proper Scoring Rules: The Importance of Being Local
Hailiang Du
http://arxiv.org/abs/2012.12499v1
• [stat.ME]Data segmentation algorithms: Univariate mean change and beyond
Haeran Cho, Claudia Kirch
http://arxiv.org/abs/2012.12814v1
• [stat.ME]Measurement bias: a structural perspective
Yijie Li, Wei Fan, Miao Zhang, Lili Liu, Jiangbo Bao, Yingjie Zheng
http://arxiv.org/abs/2012.10980v2
• [stat.ME]Probabilistic Iterative Methods for Linear Systems
Jon Cockayne, Ilse C. F. Ipsen, Chris J. Oates, Tim W. Reid
http://arxiv.org/abs/2012.12615v1
• [stat.ME]Score matching for compositional distributions
Janice L. Scealy, Andrew T. A. Wood
http://arxiv.org/abs/2012.12461v1
• [stat.ME]Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis
Jan Greve, Bettina Grün, Gertraud Malsiner-Walli, Sylvia Frühwirth-Schnatter
http://arxiv.org/abs/2012.12337v1
• [stat.ML]Evolutionary Variational Optimization of Generative Models
Jakob Drefs, Enrico Guiraud, Jörg Lücke
http://arxiv.org/abs/2012.12294v1
• [stat.ML]Matrix optimization based Euclidean embedding with outliers
Qian Zhang, Xinyuan Zhao, Chao Ding
http://arxiv.org/abs/2012.12772v1
• [stat.ML]Partial Identifiability in Discrete Data With Measurement Error
Noam Finkelstein, Roy Adams, Suchi Saria, Ilya Shpitser
http://arxiv.org/abs/2012.12449v1
• [stat.ML]Unbiased Gradient Estimation for Distributionally Robust Learning
Soumyadip Ghosh, Mark Squillante
http://arxiv.org/abs/2012.12367v1
• [stat.ML]Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms
Qing Ye, Weijun Xie
http://arxiv.org/abs/2012.12356v1
• [stat.OT]New plans orthogonal through the block factor
Sunanda Bagchi
http://arxiv.org/abs/2012.12891v1
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