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.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.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.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.PR - 概率 math.ST - 统计理论 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Completion Reasoning Emulation for the Description Logic EL+
    • [cs.AI]Fuzzy Rule Interpolation Toolbox for the GNU Open-Source OCTAVE
    • [cs.AI]Learning to Request Guidance in Emergent Communication
    • [cs.AI]Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS
    • [cs.AI]UCT-ADP Progressive Bias Algorithm for Solving Gomoku
    • [cs.AI]What Can Learned Intrinsic Rewards Capture?
    • [cs.CL]A Collaborative Ecosystem for Digital Coptic Studies
    • [cs.CL]An Ensemble Method for Producing Word Representations for the Greek Language
    • [cs.CL]Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering
    • [cs.CL]BERT has a Moral Compass: Improvements of ethical and moral values of machines
    • [cs.CL]CoSimLex: A Resource for Evaluating Graded Word Similarity in Context
    • [cs.CL]FlauBERT: Unsupervised Language Model Pre-training for French
    • [cs.CL]Improving Neural Protein-Protein Interaction Extraction with Knowledge Selection
    • [cs.CL]Medication Regimen Extraction From Clinical Conversations
    • [cs.CL]MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
    • [cs.CL]Neural Module Networks for Reasoning over Text
    • [cs.CL]Quality of syntactic implication of RL-based sentence summarization
    • [cs.CL]Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology
    • [cs.CL]Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling
    • [cs.CR]A Code-specific Conservative Model for the Failure Rate of Bit-flipping Decoding of LDPC Codes with Cryptographic Applications
    • [cs.CV]$\mathbf{G^{3}AN}$: This video does not exist. Disentangling motion and appearance for video generation
    • [cs.CV]A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction
    • [cs.CV]An Efficient Approach for Using Expectation Maximization Algorithm in Capsule Networks
    • [cs.CV]Associative Alignment for Few-shot Image Classification
    • [cs.CV]AugFPN: Improving Multi-scale Feature Learning for Object Detection
    • [cs.CV]Automatic Analysis of Sewer Pipes Based on Unrolled Monocular Fisheye Images
    • [cs.CV]Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning
    • [cs.CV]BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images
    • [cs.CV]Bipartite Conditional Random Fields for Panoptic Segmentation
    • [cs.CV]Bottleneck detection by slope difference distribution: a robust approach for separating overlapped cells
    • [cs.CV]Boundary-Aware Salient Object Detection via Recurrent Two-Stream Guided Refinement Network
    • [cs.CV]Deep Adaptive Wavelet Network
    • [cs.CV]Deep Direct Visual Odometry
    • [cs.CV]DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration
    • [cs.CV]Fine-grained Classification of Rowing teams
    • [cs.CV]FootAndBall: Integrated player and ball detector
    • [cs.CV]GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences
    • [cs.CV]Graph-based Multi-view Binary Learning for Image Clustering
    • [cs.CV]HistoNet: Predicting size histograms of object instances
    • [cs.CV]HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks
    • [cs.CV]IoU-uniform R-CNN: Breaking Through the Limitations of RPN
    • [cs.CV]Lane Detection For Prototype Autonomous Vehicle
    • [cs.CV]Learning Domain Adaptive Features with Unlabeled Domain Bridges
    • [cs.CV]Learning from Noisy Anchors for One-stage Object Detection
    • [cs.CV]Lifelong learning for text retrieval and recognition in historical handwritten document collections
    • [cs.CV]MineGAN: effective knowledge transfer from GANs to target domains with few images
    • [cs.CV]Multimodal Self-Supervised Learning for Medical Image Analysis
    • [cs.CV]Parting with Illusions about Deep Active Learning
    • [cs.CV]Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds
    • [cs.CV]PuckNet: Estimating hockey puck location from broadcast video
    • [cs.CV]RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation
    • [cs.CV]SKD: Unsupervised Keypoint Detecting for Point Clouds using Embedded Saliency Estimation
    • [cs.CV]Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark
    • [cs.CV]Self-Driving Car Steering Angle Prediction Based on Image Recognition
    • [cs.CV]SiamMan: Siamese Motion-aware Network for Visual Tracking
    • [cs.CV]SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
    • [cs.CV]TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
    • [cs.CV]Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
    • [cs.CV]Training Deep SLAM on Single Frames
    • [cs.CV]Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Classification
    • [cs.CV]What You See is What You Get: Exploiting Visibility for 3D Object Detection
    • [cs.CV]Why Can’t I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
    • [cs.CY]A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial Intelligence
    • [cs.CY]Dynamic Algorithmic Service Agreements Perspective
    • [cs.CY]Female Librarians and Male Computer Programmers? Gender Bias in Occupational Images on Digital Media Platforms
    • [cs.CY]Measurement and Fairness
    • [cs.CY]Minority report detection in refugee-authored community-driven journalism using RBMs
    • [cs.CY]The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons
    • [cs.DC]DGEMM performance is data-dependent
    • [cs.DC]Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning
    • [cs.DC]Performance Analysis of the Libra Blockchain: An Experimental Study
    • [cs.DC]Simulation of the Bitcoin Network Considering Compact Block Relay and Internet Improvements
    • [cs.DS]Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space
    • [cs.GR]Modelling curvature of a bent paper leaf
    • [cs.HC]Efficient crowdsourcing of crowd-generated microtasks
    • [cs.IR]Character 3-gram Mover’s Distance: An Effective Method for Detecting Near-duplicate Japanese-language Recipes
    • [cs.IR]It Runs in the Family: Searching for Similar Names using Digitized Family Trees
    • [cs.IT]A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks
    • [cs.IT]Beyond Dirty Paper Coding for Multi-Antenna Broadcast Channel with Partial CSIT: A Rate-Splitting Approach
    • [cs.IT]Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model
    • [cs.IT]Constructions of quasi-twisted quantum codes
    • [cs.IT]Distance Distributions of Cyclic Orbit Codes
    • [cs.IT]Mutual Information in Community Detection with Covariate Information and Correlated Networks
    • [cs.IT]Reconfigurable Intelligent Surfaces: Bridging the gap between scattering and reflection
    • [cs.LG]A Two-Stage Approach to Few-Shot Learning for Image Recognition
    • [cs.LG]Advances and Open Problems in Federated Learning
    • [cs.LG]Almost Uniform Sampling From Neural Networks
    • [cs.LG]An Improving Framework of regularization for Network Compression
    • [cs.LG]Before we can find a model, we must forget about perfection
    • [cs.LG]Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data
    • [cs.LG]Detecting and Correcting Adversarial Images Using Image Processing Operations and Convolutional Neural Networks
    • [cs.LG]Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning
    • [cs.LG]Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion
    • [cs.LG]Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods
    • [cs.LG]Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds
    • [cs.LG]Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches
    • [cs.LG]Identifying Mislabeled Instances in Classification Datasets
    • [cs.LG]Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
    • [cs.LG]Imitation Learning via Off-Policy Distribution Matching
    • [cs.LG]Is Feature Diversity Necessary in Neural Network Initialization?
    • [cs.LG]Just Add Functions: A Neural-Symbolic Language Model
    • [cs.LG]Marginalized State Distribution Entropy Regularization in Policy Optimization
    • [cs.LG]Multimodal Generative Models for Compositional Representation Learning
    • [cs.LG]On Neural Learnability of Chaotic Dynamics
    • [cs.LG]Recurrent Transform Learning
    • [cs.LG]SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads
    • [cs.LG]SMiRL: Surprise Minimizing RL in Dynamic Environments
    • [cs.LG]Towards Better Forecasting by Fusing Near and Distant Future Visions
    • [cs.LG]Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering
    • [cs.LG]Unsupervised Transfer Learning via BERT Neuron Selection
    • [cs.LG]Value-of-Information based Arbitration between Model-based and Model-free Control
    • [cs.LG]Variational Learning with Disentanglement-PyTorch
    • [cs.MA]Jason-RS, a Collaboration between Agents and an IoT Platform
    • [cs.NE]Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization
    • [cs.NI]Blockchain for 5G and Beyond Networks: A State of the Art Survey
    • [cs.PL]Array Languages Make Neural Networks Fast
    • [cs.RO]Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning
    • [cs.RO]Learning to Optimally Segment Point Clouds
    • [cs.RO]RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization
    • [cs.RO]Zero-shot generalization using cascaded system-representations
    • [cs.SD]Small-footprint Keyword Spotting with Graph Convolutional Network
    • [cs.SD]Voice Conversion for Whispered Speech Synthesis
    • [cs.SE]A Reference Architecture and Modelling Principles for Architectural Stability based on Self-Awareness: Case of Cloud Architectures
    • [cs.SE]Datamorphic Testing: A Methodology for Testing AI Applications
    • [cs.SI]Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks
    • [cs.SI]Collective Identity Formation on Instagram — Investigating the Social Movement Fridays for Future
    • [eess.AS]Advances in Online Audio-Visual Meeting Transcription
    • [eess.AS]Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation
    • [eess.AS]SpecAugment on Large Scale Datasets
    • [eess.IV]$Σ$-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction
    • [eess.IV]BINet: a binary inpainting network for deep patch-based image compression
    • [eess.IV]Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation
    • [eess.IV]Deep motion estimation for parallel inter-frame prediction in video compression
    • [eess.IV]Feeding the zombies: Synthesizing brain volumes using a 3D progressive growing GAN
    • [eess.IV]Memory-efficient Learning for Large-scale Computational Imaging
    • [eess.IV]Multi-Dimension Modulation for Image Restoration with Dynamic Controllable Residual Learning
    • [eess.IV]Phase Retrieval using Conditional Generative Adversarial Networks
    • [eess.IV]U-Net with spatial pyramid pooling for drusen segmentation in optical coherence tomography
    • [eess.IV]UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
    • [eess.IV]Variable Rate Deep Image Compression with Modulated Autoencoder
    • [eess.IV]Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models
    • [eess.SP]Low-Complexity LSTM-Assisted Bit-Flipping Algorithm for Successive Cancellation List Polar Decoder
    • [eess.SP]Neural Memory Networks for Robust Classification of Seizure Type
    • [eess.SP]SenseNet: Deep Learning based Wideband spectrum sensing and modulation classification network
    • [eess.SP]Severity Detection Tool for Patients with Infectious Disease
    • [eess.SP]Sparse Joint Transmission for Cell-Free Massive MIMO: A Sparse PCA Approach
    • [eess.SY]Event Detection in Micro-PMU Data: A Generative Adversarial Network Scoring Method
    • [math.CO]Integer Partitions Probability Distributions
    • [math.NA]Tensor Completion via Gaussian Process Based Initialization
    • [math.PR]Mean-Field Neural ODEs via Relaxed Optimal Control
    • [math.PR]Quantitative Universality for the Largest Eigenvalue of Sample Covariance Matrices
    • [math.ST]Analysis of the rate of convergence of neural network regression estimates which are easy to implement
    • [math.ST]Frequentist Consistency of Generalized Variational Inference
    • [math.ST]Testing Independence with the Binary Expansion Randomized Ensemble Test
    • [stat.AP]Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse and Fragmented Functional Data
    • [stat.AP]European banks’ business models and their credit risk: A cluster analysis in a high-dimensional context
    • [stat.AP]Measuring Spatial Allocative Efficiency in Basketball
    • [stat.AP]Robust joint modelling of longitudinal and survival data with a time-varying degrees-of-freedom parameter
    • [stat.ME]Asymptotic based bootstrap approach for matched pairs with missingness in a single-arm
    • [stat.ME]Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology
    • [stat.ME]Center-outward quantiles and the measurement of multivariate risk
    • [stat.ME]Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data
    • [stat.ME]More for less: Predicting and maximizing genetic variant discovery via Bayesian nonparametrics
    • [stat.ME]Nonparametric Universal Copula Modeling
    • [stat.ME]Sample Size Estimation using a Latent Variable Model for Mixed Outcome Co-Primary, Multiple Primary and Composite Endpoints
    • [stat.ML]A Closer Look at Disentangling in $β$-VAE
    • [stat.ML]Fenton-Wilkinson Order Statistics and German Tanks: A Case Study of an Orienteering Relay Race
    • [stat.ML]Representational Rényi heterogeneity
    • [stat.ML]Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing
    • [stat.ML]Statistically Robust Neural Network Classification
    • [stat.ML]The Wasserstein-Fourier Distance for Stationary Time Series

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    • [cs.AI]Completion Reasoning Emulation for the Description Logic EL+
    Aaron Eberhart, Monireh Ebrahimi, Lu Zhou, Cogan Shimizu, Pascal Hitzler
    http://arxiv.org/abs/1912.05063v1

    • [cs.AI]Fuzzy Rule Interpolation Toolbox for the GNU Open-Source OCTAVE
    Maen Alzubi, Mohammad Almseidin, Mohd Aaqib Lone, Szilveszter Kovacs
    http://arxiv.org/abs/1912.04999v1

    • [cs.AI]Learning to Request Guidance in Emergent Communication
    Benjamin Kolb, Leon Lang, Henning Bartsch, Arwin Gansekoele, Raymond Koopmanschap, Leonardo Romor, David Speck, Mathijs Mul, Elia Bruni
    http://arxiv.org/abs/1912.05525v1

    • [cs.AI]Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS
    Masataro Asai
    http://arxiv.org/abs/1912.05492v1

    • [cs.AI]UCT-ADP Progressive Bias Algorithm for Solving Gomoku
    Xu Cao, Yanghao Lin
    http://arxiv.org/abs/1912.05407v1

    • [cs.AI]What Can Learned Intrinsic Rewards Capture?
    Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh
    http://arxiv.org/abs/1912.05500v1

    • [cs.CL]A Collaborative Ecosystem for Digital Coptic Studies
    Caroline T. Schroeder, Amir Zeldes
    http://arxiv.org/abs/1912.05082v1

    • [cs.CL]An Ensemble Method for Producing Word Representations for the Greek Language
    Michalis Lioudakis, Stamatis Outsios, Michalis Vazirgiannis
    http://arxiv.org/abs/1912.04965v1

    • [cs.CL]Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering
    Casimiro Pio Carrino, Marta Ruiz Costa-jussà, José Adrián Rodríguez Fonollosa
    http://arxiv.org/abs/1912.05200v1

    • [cs.CL]BERT has a Moral Compass: Improvements of ethical and moral values of machines
    Patrick Schramowski, Cigdem Turan, Sophie Jentzsch, Constantin Rothkopf, Kristian Kersting
    http://arxiv.org/abs/1912.05238v1

    • [cs.CL]CoSimLex: A Resource for Evaluating Graded Word Similarity in Context
    Carlos Santos Armendariz, Matthew Purver, Matej Ulčar, Senja Pollak, Nikola Ljubešić, Mark Granroth-Wilding, Kristiina Vaik
    http://arxiv.org/abs/1912.05320v1

    • [cs.CL]FlauBERT: Unsupervised Language Model Pre-training for French
    Hang Le, Loïc Vial, Jibril Frej, Vincent Segonne, Maximin Coavoux, Benjamin Lecouteux, Alexandre Allauzen, Benoît Crabbé, Laurent Besacier, Didier Schwab
    http://arxiv.org/abs/1912.05372v1

    • [cs.CL]Improving Neural Protein-Protein Interaction Extraction with Knowledge Selection
    Huiwei Zhou, Xuefei Li, Weihong Yao, Zhuang Liu, Shixian Ning, Chengkun Lang, Lei Du
    http://arxiv.org/abs/1912.05147v1

    • [cs.CL]Medication Regimen Extraction From Clinical Conversations
    Sai P. Selvaraj, Sandeep Konam
    http://arxiv.org/abs/1912.04961v1

    • [cs.CL]MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
    Rumeng Li, Xun Wang, Hong Yu
    http://arxiv.org/abs/1912.05467v1

    • [cs.CL]Neural Module Networks for Reasoning over Text
    Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner
    http://arxiv.org/abs/1912.04971v1

    • [cs.CL]Quality of syntactic implication of RL-based sentence summarization
    Hoa T. Le, Christophe Cerisara, Claire Gardent
    http://arxiv.org/abs/1912.05493v1

    • [cs.CL]Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology
    Gözde Gül Şahin, Iryna Gurevych
    http://arxiv.org/abs/1912.05274v1

    • [cs.CL]Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling
    Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Haihua Du, Ben C. H. Ao
    http://arxiv.org/abs/1912.05134v1

    • [cs.CR]A Code-specific Conservative Model for the Failure Rate of Bit-flipping Decoding of LDPC Codes with Cryptographic Applications
    Paolo Santini, Alessandro Barenghi, Gerardo Pelosi, Marco Baldi, Franco Chiaraluce
    http://arxiv.org/abs/1912.05182v1

    • [cs.CV]$\mathbf{G^{3}AN}$: This video does not exist. Disentangling motion and appearance for video generation
    Yaohui Wang, Piotr Bilinski, Francois Bremond, Antitza Dantcheva
    http://arxiv.org/abs/1912.05523v1

    • [cs.CV]A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction
    David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper
    http://arxiv.org/abs/1912.05317v1

    • [cs.CV]An Efficient Approach for Using Expectation Maximization Algorithm in Capsule Networks
    Moein Hasani, Amin Nasim Saravi, Hassan Khotanlou
    http://arxiv.org/abs/1912.05333v1

    • [cs.CV]Associative Alignment for Few-shot Image Classification
    Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
    http://arxiv.org/abs/1912.05094v1

    • [cs.CV]AugFPN: Improving Multi-scale Feature Learning for Object Detection
    Chaoxu Guo, Bin Fan, Qian Zhang, Shiming Xiang, Chunhong Pan
    http://arxiv.org/abs/1912.05384v1

    • [cs.CV]Automatic Analysis of Sewer Pipes Based on Unrolled Monocular Fisheye Images
    Johannes Künzel, Thomas Werner, Ronja Möller, Peter Eisert, Jan Waschnewski, Ralf Hilpert
    http://arxiv.org/abs/1912.05222v1

    • [cs.CV]Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning
    Hong Luo, Han Liu, Kejun Li, Bo Zhang
    http://arxiv.org/abs/1912.05260v1

    • [cs.CV]BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images
    Huihong Zhang, Jianlong Yang, Kang Zhou, Zhenjie Chai, Jun Cheng, Shenghua Gao, Jiang Liu
    http://arxiv.org/abs/1912.05090v1

    • [cs.CV]Bipartite Conditional Random Fields for Panoptic Segmentation
    Sadeep Jayasumana, Kanchana Ranasinghe, Mayuka Jayawardhana, Sahan Liyanaarachchi, Harsha Ranasinghe
    http://arxiv.org/abs/1912.05307v1

    • [cs.CV]Bottleneck detection by slope difference distribution: a robust approach for separating overlapped cells
    ZhenZhou Wang
    http://arxiv.org/abs/1912.05096v1

    • [cs.CV]Boundary-Aware Salient Object Detection via Recurrent Two-Stream Guided Refinement Network
    Fangting Lin, Chao Yang, Huizhou Li, Bin Jiang
    http://arxiv.org/abs/1912.05236v1

    • [cs.CV]Deep Adaptive Wavelet Network
    Maria Ximena Bastidas Rodriguez, Adrien Gruson, Luisa F. Polania, Shin Fujieda, Flavio Prieto Ortiz, Kohei Takayama, Toshiya Hachisuka
    http://arxiv.org/abs/1912.05035v1

    • [cs.CV]Deep Direct Visual Odometry
    Chaoqiang Zhao, Yang Tang, Qiyu Sun
    http://arxiv.org/abs/1912.05101v1

    • [cs.CV]DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration
    Nianjin Ye, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Jue Wang, Yongqing Cui
    http://arxiv.org/abs/1912.05131v1

    • [cs.CV]Fine-grained Classification of Rowing teams
    M. J. A. van Wezel, L. J. Hamburger, Y. Napolean
    http://arxiv.org/abs/1912.05393v1

    • [cs.CV]FootAndBall: Integrated player and ball detector
    Jacek Komorowski, Grzegorz Kurzejamski, Grzegorz Sarwas
    http://arxiv.org/abs/1912.05445v1

    • [cs.CV]GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences
    Prune Truong, Martin Danelljan, Radu Timofte
    http://arxiv.org/abs/1912.05524v1

    • [cs.CV]Graph-based Multi-view Binary Learning for Image Clustering
    Guangqi Jiang, Huibing Wang, Jinjia Peng, Dongyan Chen, Xianping Fu
    http://arxiv.org/abs/1912.05159v1

    • [cs.CV]HistoNet: Predicting size histograms of object instances
    Kishan Sharma, Moritz Gold, Christian Zurbruegg, Laura Leal-Taixé, Jan Dirk Wegner
    http://arxiv.org/abs/1912.05227v1

    • [cs.CV]HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks
    Ryan Szeto, Mostafa El-Khamy, Jungwon Lee, Jason J. Corso
    http://arxiv.org/abs/1912.04950v1

    • [cs.CV]IoU-uniform R-CNN: Breaking Through the Limitations of RPN
    Li Zhu, Zihao Xie, Liman Liu, Bo Tao, Wenbing Tao
    http://arxiv.org/abs/1912.05190v1

    • [cs.CV]Lane Detection For Prototype Autonomous Vehicle
    Sertap Kamçı, Dogukan Aksu, Muhammed Ali Aydin
    http://arxiv.org/abs/1912.05220v1

    • [cs.CV]Learning Domain Adaptive Features with Unlabeled Domain Bridges
    Yichen Li, Xingchao Peng
    http://arxiv.org/abs/1912.05004v1

    • [cs.CV]Learning from Noisy Anchors for One-stage Object Detection
    Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis
    http://arxiv.org/abs/1912.05086v1

    • [cs.CV]Lifelong learning for text retrieval and recognition in historical handwritten document collections
    Lambert Schomaker
    http://arxiv.org/abs/1912.05156v1

    • [cs.CV]MineGAN: effective knowledge transfer from GANs to target domains with few images
    Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer
    http://arxiv.org/abs/1912.05270v1

    • [cs.CV]Multimodal Self-Supervised Learning for Medical Image Analysis
    Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi
    http://arxiv.org/abs/1912.05396v1

    • [cs.CV]Parting with Illusions about Deep Active Learning
    Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox
    http://arxiv.org/abs/1912.05361v1

    • [cs.CV]Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds
    Yonglin Tian, Lichao Huang, Xuesong Li, Yuan Li, Zilei Wang, Fei-Yue Wang
    http://arxiv.org/abs/1912.04775v2

    • [cs.CV]PuckNet: Estimating hockey puck location from broadcast video
    Kanav Vats, William McNally, Chris Dulhanty, Zhong Qiu Lin, David A. Clausi, John Zelek
    http://arxiv.org/abs/1912.05107v1

    • [cs.CV]RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation
    Shaoru Wang, Yongchao Gong, Junliang Xing, Lichao Huang, Chang Huang, Weiming Hu
    http://arxiv.org/abs/1912.05070v1

    • [cs.CV]SKD: Unsupervised Keypoint Detecting for Point Clouds using Embedded Saliency Estimation
    Georgi Tinchev, Adrian Penate-Sanchez, Maurice Fallon
    http://arxiv.org/abs/1912.04943v1

    • [cs.CV]Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark
    Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jon Shlens, Zhifeng Chen, Dragomir Anguelov
    http://arxiv.org/abs/1912.04838v2

    • [cs.CV]Self-Driving Car Steering Angle Prediction Based on Image Recognition
    Shuyang Du, Haoli Guo, Andrew Simpson
    http://arxiv.org/abs/1912.05440v1

    • [cs.CV]SiamMan: Siamese Motion-aware Network for Visual Tracking
    Wenzhang Zhou, Longyin Wen, Libo Zhang, Dawei Du, Tiejian Luo, Yanjun Wu
    http://arxiv.org/abs/1912.05515v1

    • [cs.CV]SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
    Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song
    http://arxiv.org/abs/1912.05027v1

    • [cs.CV]TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
    Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai
    http://arxiv.org/abs/1912.05163v1

    • [cs.CV]Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
    Yiyi Liao, Katja Schwarz, Lars Mescheder, Andreas Geiger
    http://arxiv.org/abs/1912.05237v1

    • [cs.CV]Training Deep SLAM on Single Frames
    Igor Slinko, Anna Vorontsova, Dmitry Zhukov, Olga Barinova, Anton Konushin
    http://arxiv.org/abs/1912.05405v1

    • [cs.CV]Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Classification
    Nelson Nauata, Yasutaka Furukawa
    http://arxiv.org/abs/1912.05135v1

    • [cs.CV]What You See is What You Get: Exploiting Visibility for 3D Object Detection
    Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan
    http://arxiv.org/abs/1912.04986v1

    • [cs.CV]Why Can’t I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
    Jinwoo Choi, Chen Gao, Joseph C. E. Messou, Jia-Bin Huang
    http://arxiv.org/abs/1912.05534v1

    • [cs.CY]A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial Intelligence
    Michael C. Horowitz, Paul Scharre, Alexander Velez-Green
    http://arxiv.org/abs/1912.05291v1

    • [cs.CY]Dynamic Algorithmic Service Agreements Perspective
    Bogdana Rakova, Laura Kahn
    http://arxiv.org/abs/1912.04947v1

    • [cs.CY]Female Librarians and Male Computer Programmers? Gender Bias in Occupational Images on Digital Media Platforms
    Vivek Singh, Mary Chayko, Raj Inamdar, Diana Floegel
    http://arxiv.org/abs/1912.05474v1

    • [cs.CY]Measurement and Fairness
    Abigail Z. Jacobs, Hanna Wallach
    http://arxiv.org/abs/1912.05511v1

    • [cs.CY]Minority report detection in refugee-authored community-driven journalism using RBMs
    Bogdana Rakova, Nick DePalma
    http://arxiv.org/abs/1912.04953v1

    • [cs.CY]The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons
    Solon Barocas, Andrew D. Selbst, Manish Raghavan
    http://arxiv.org/abs/1912.04930v1

    • [cs.DC]DGEMM performance is data-dependent
    Tom Cornebize, Arnaud Legrand
    http://arxiv.org/abs/1912.05381v1

    • [cs.DC]Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning
    Amirhossein Esmaili, Massoud Pedram
    http://arxiv.org/abs/1912.05160v1

    • [cs.DC]Performance Analysis of the Libra Blockchain: An Experimental Study
    Jiashuo Zhang, Jianbo Gao, Zhenhao Wu, Wentian Yan, Qize Wu, Qingshan Li, Zhong Chen
    http://arxiv.org/abs/1912.05241v1

    • [cs.DC]Simulation of the Bitcoin Network Considering Compact Block Relay and Internet Improvements
    Ryunosuke Nagayama, Kazuyuki Shudo, Ryohei Banno
    http://arxiv.org/abs/1912.05208v1

    • [cs.DS]Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space
    Artur Czumaj, Peter Davies, Merav Parter
    http://arxiv.org/abs/1912.05390v1

    • [cs.GR]Modelling curvature of a bent paper leaf
    Sasikanth Raghava Goteti
    http://arxiv.org/abs/1912.04898v1

    • [cs.HC]Efficient crowdsourcing of crowd-generated microtasks
    Abigail Hotaling, James P. Bagrow
    http://arxiv.org/abs/1912.05045v1

    • [cs.IR]Character 3-gram Mover’s Distance: An Effective Method for Detecting Near-duplicate Japanese-language Recipes
    Masaki Oguni, Yohei Seki, Yu Hirate
    http://arxiv.org/abs/1912.05171v1

    • [cs.IR]It Runs in the Family: Searching for Similar Names using Digitized Family Trees
    Aviad Elyashar, Rami Puzis, Michael Fire
    http://arxiv.org/abs/1912.04003v2

    • [cs.IT]A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks
    Fatima Salahdine, Elias Ghribi, Naima Kaabouch
    http://arxiv.org/abs/1912.04935v1

    • [cs.IT]Beyond Dirty Paper Coding for Multi-Antenna Broadcast Channel with Partial CSIT: A Rate-Splitting Approach
    Yijie Mao, Bruno Clerckx
    http://arxiv.org/abs/1912.05409v1

    • [cs.IT]Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model
    Boris Karanov, Mathieu Chagnon, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
    http://arxiv.org/abs/1912.05146v1

    • [cs.IT]Constructions of quasi-twisted quantum codes
    Jingjie Lv, Ruihu Li, Junli Wang
    http://arxiv.org/abs/1912.05142v1

    • [cs.IT]Distance Distributions of Cyclic Orbit Codes
    Heide Gluesing-Luerssen, Hunter Lehmann
    http://arxiv.org/abs/1912.05522v1

    • [cs.IT]Mutual Information in Community Detection with Covariate Information and Correlated Networks
    Vaishakhi Mayya, Galen Reeves
    http://arxiv.org/abs/1912.05375v1

    • [cs.IT]Reconfigurable Intelligent Surfaces: Bridging the gap between scattering and reflection
    J. Bucheli Garcia, A. Sibille, M. Kamoun
    http://arxiv.org/abs/1912.05344v1

    • [cs.LG]A Two-Stage Approach to Few-Shot Learning for Image Recognition
    Debasmit Das, C. S. George Lee
    http://arxiv.org/abs/1912.04973v1

    • [cs.LG]Advances and Open Problems in Federated Learning
    Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D’Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
    http://arxiv.org/abs/1912.04977v1

    • [cs.LG]Almost Uniform Sampling From Neural Networks
    Changlong Wu, Narayana Prasad Santhanam
    http://arxiv.org/abs/1912.04994v1

    • [cs.LG]An Improving Framework of regularization for Network Compression
    E Zhenqian, Gao Weiguo
    http://arxiv.org/abs/1912.05078v1

    • [cs.LG]Before we can find a model, we must forget about perfection
    Dimiter Dobrev
    http://arxiv.org/abs/1912.04964v1

    • [cs.LG]Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data
    Christian Etmann, Maximilian Schmidt, Jens Behrmann, Tobias Boskamp, Lena Hauberg-Lotte, Annette Peter, Rita Casadonte, Jörg Kriegsmann, Peter Maass
    http://arxiv.org/abs/1912.05459v1

    • [cs.LG]Detecting and Correcting Adversarial Images Using Image Processing Operations and Convolutional Neural Networks
    Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi, Isao Echizen
    http://arxiv.org/abs/1912.05391v1

    • [cs.LG]Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning
    Riashat Islam, Raihan Seraj, Samin Yeasar Arnob, Doina Precup
    http://arxiv.org/abs/1912.05109v1

    • [cs.LG]Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion
    Bo Zhou, Hongsheng Zeng, Fan Wang, Yunxiang Li, Hao Tian
    http://arxiv.org/abs/1912.05328v1

    • [cs.LG]Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods
    Riashat Islam, Raihan Seraj, Pierre-Luc Bacon, Doina Precup
    http://arxiv.org/abs/1912.05104v1

    • [cs.LG]Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds
    Rahul Radhakrishnan Iyer, Ronghuo Zheng, Yuezhang Li, Katia Sycara
    http://arxiv.org/abs/1912.05066v1

    • [cs.LG]Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches
    Kacper Sokol, Peter Flach
    http://arxiv.org/abs/1912.05100v1

    • [cs.LG]Identifying Mislabeled Instances in Classification Datasets
    Nicolas Michael Müller, Karla Markert
    http://arxiv.org/abs/1912.05283v1

    • [cs.LG]Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
    Görkem Algan, Ilkay Ulusoy
    http://arxiv.org/abs/1912.05170v1

    • [cs.LG]Imitation Learning via Off-Policy Distribution Matching
    Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
    http://arxiv.org/abs/1912.05032v1

    • [cs.LG]Is Feature Diversity Necessary in Neural Network Initialization?
    Yaniv Blumenfeld, Dar Gilboda, Daniel Soudry
    http://arxiv.org/abs/1912.05137v1

    • [cs.LG]Just Add Functions: A Neural-Symbolic Language Model
    David Demeter, Doug Downey
    http://arxiv.org/abs/1912.05421v1

    • [cs.LG]Marginalized State Distribution Entropy Regularization in Policy Optimization
    Riashat Islam, Zafarali Ahmed, Doina Precup
    http://arxiv.org/abs/1912.05128v1

    • [cs.LG]Multimodal Generative Models for Compositional Representation Learning
    Mike Wu, Noah Goodman
    http://arxiv.org/abs/1912.05075v1

    • [cs.LG]On Neural Learnability of Chaotic Dynamics
    Ziwei Li, Sai Ravela
    http://arxiv.org/abs/1912.05081v1

    • [cs.LG]Recurrent Transform Learning
    Megha Gupta, Angshul Majumdar
    http://arxiv.org/abs/1912.05198v1

    • [cs.LG]SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads
    Sam Likun Xi, Yuan Yao, Kshitij Bhardwaj, Paul Whatmough, Gu-Yeon Wei, David Brooks
    http://arxiv.org/abs/1912.04481v2

    • [cs.LG]SMiRL: Surprise Minimizing RL in Dynamic Environments
    Glen Berseth, Daniel Geng, Coline Devin, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
    http://arxiv.org/abs/1912.05510v1

    • [cs.LG]Towards Better Forecasting by Fusing Near and Distant Future Visions
    Jiezhu Cheng, Kaizhu Huang, Zibin Zheng
    http://arxiv.org/abs/1912.05122v1

    • [cs.LG]Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering
    Mohsen Ghassemi Parsa, Hadi Zare, Mehdi Ghatee
    http://arxiv.org/abs/1912.05458v1

    • [cs.LG]Unsupervised Transfer Learning via BERT Neuron Selection
    Mehrdad Valipour, En-Shiun Annie Lee, Jaime R. Jamacaro, Carolina Bessega
    http://arxiv.org/abs/1912.05308v1

    • [cs.LG]Value-of-Information based Arbitration between Model-based and Model-free Control
    Krishn Bera, Yash Mandilwar, Bapi Raju
    http://arxiv.org/abs/1912.05453v1

    • [cs.LG]Variational Learning with Disentanglement-PyTorch
    Amir H. Abdi, Purang Abolmaesumi, Sidney Fels
    http://arxiv.org/abs/1912.05184v1

    • [cs.MA]Jason-RS, a Collaboration between Agents and an IoT Platform
    Hantanirina Felixie, Jean Razafindramintsa, Sylvain Cherrier, Thomas Mahatody, Laurent George, Victor Manantsoa
    http://arxiv.org/abs/1912.05362v1

    • [cs.NE]Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization
    Paolo Pagliuca, Nicola Milano, Stefano Nolfi
    http://arxiv.org/abs/1912.05239v1

    • [cs.NI]Blockchain for 5G and Beyond Networks: A State of the Art Survey
    Dinh C Nguyen, Pubudu N Pathirana, Ming Ding, Aruna Seneviratne
    http://arxiv.org/abs/1912.05062v1

    • [cs.PL]Array Languages Make Neural Networks Fast
    Artjoms Šinkarovs, Hans-Nikolai Vießmann, Sven-Bodo Scholz
    http://arxiv.org/abs/1912.05234v1

    • [cs.RO]Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning
    Tianying Wang, Hao Zhang, Wei Qi Toh, Hongyuan Zhu, Cheston Tan, Yan Wu, Yong Liu, Wei Jing
    http://arxiv.org/abs/1912.05205v1

    • [cs.RO]Learning to Optimally Segment Point Clouds
    Peiyun Hu, David Held, Deva Ramanan
    http://arxiv.org/abs/1912.04976v1

    • [cs.RO]RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization
    Tianying Wang, Wei Qi Toh, Hao Zhang, Xiuchao Sui, Shaohua Li, Yong Liu, Wei Jing
    http://arxiv.org/abs/1912.05099v1

    • [cs.RO]Zero-shot generalization using cascaded system-representations
    Ashish Malik
    http://arxiv.org/abs/1912.05501v1

    • [cs.SD]Small-footprint Keyword Spotting with Graph Convolutional Network
    Xi Chen, Shouyi Yin, Dandan Song, Peng Ouyang, Leibo Liu, Shaojun Wei
    http://arxiv.org/abs/1912.05124v1

    • [cs.SD]Voice Conversion for Whispered Speech Synthesis
    Marius Cotescu, Thomas Drugman, Goeric Huybrechts, Jaime Lorenzo-Trueba, Alexis Moinet
    http://arxiv.org/abs/1912.05289v1

    • [cs.SE]A Reference Architecture and Modelling Principles for Architectural Stability based on Self-Awareness: Case of Cloud Architectures
    Maria Salama, Rami Bahsoon, Rajkumar Buyya
    http://arxiv.org/abs/1912.05517v1

    • [cs.SE]Datamorphic Testing: A Methodology for Testing AI Applications
    Hong Zhu, Dongmei Liu, Ian Bayley, Rachel Harrison, Fabio Cuzzolin
    http://arxiv.org/abs/1912.04900v1

    • [cs.SI]Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks
    Sambaran Bandyopadhyay, Anirban Biswas, M. N. Murty, Ramasuri Narayanam
    http://arxiv.org/abs/1912.05140v1

    • [cs.SI]Collective Identity Formation on Instagram — Investigating the Social Movement Fridays for Future
    Felix Brünker, Fabian Deitelhoff, Milad Mirbabaie
    http://arxiv.org/abs/1912.05123v1

    • [eess.AS]Advances in Online Audio-Visual Meeting Transcription
    Takuya Yoshioka, Igor Abramovski, Cem Aksoylar, Zhuo Chen, Moshe David, Dimitrios Dimitriadis, Yifan Gong, Ilya Gurvich, Xuedong Huang, Yan Huang, Aviv Hurvitz, Li Jiang, Sharon Koubi, Eyal Krupka, Ido Leichter, Changliang Liu, Partha Parthasarathy, Alon Vinnikov, Lingfeng Wu, Xiong Xiao, Wayne Xiong, Huaming Wang, Zhenghao Wang, Jun Zhang, Yong Zhao, Tianyan Zhou
    http://arxiv.org/abs/1912.04979v1

    • [eess.AS]Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation
    Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan
    http://arxiv.org/abs/1912.05472v1

    • [eess.AS]SpecAugment on Large Scale Datasets
    Daniel S. Park, Yu Zhang, Chung-Cheng Chiu, Youzheng Chen, Bo Li, William Chan, Quoc V. Le, Yonghui Wu
    http://arxiv.org/abs/1912.05533v1

    • [eess.IV]$Σ$-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction
    Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik
    http://arxiv.org/abs/1912.05480v1

    • [eess.IV]BINet: a binary inpainting network for deep patch-based image compression
    André Nortje, Willie Brink, Herman A. Engelbrecht, Herman Kamper
    http://arxiv.org/abs/1912.05189v1

    • [eess.IV]Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation
    Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas Maier
    http://arxiv.org/abs/1912.05240v1

    • [eess.IV]Deep motion estimation for parallel inter-frame prediction in video compression
    André Nortje, Herman A. Engelbrecht, Herman Kamper
    http://arxiv.org/abs/1912.05193v1

    • [eess.IV]Feeding the zombies: Synthesizing brain volumes using a 3D progressive growing GAN
    Anders Eklund
    http://arxiv.org/abs/1912.05357v1

    • [eess.IV]Memory-efficient Learning for Large-scale Computational Imaging
    Michael Kellman, Jon Tamir, Emrah Boston, Michael Lustig, Laura Waller
    http://arxiv.org/abs/1912.05098v1

    • [eess.IV]Multi-Dimension Modulation for Image Restoration with Dynamic Controllable Residual Learning
    Jingwen He, Chao Dong, Yu Qiao
    http://arxiv.org/abs/1912.05293v1

    • [eess.IV]Phase Retrieval using Conditional Generative Adversarial Networks
    Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling
    http://arxiv.org/abs/1912.04981v1

    • [eess.IV]U-Net with spatial pyramid pooling for drusen segmentation in optical coherence tomography
    Rhona Asgari, Sebastian Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunović
    http://arxiv.org/abs/1912.05404v1

    • [eess.IV]UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
    Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
    http://arxiv.org/abs/1912.05074v1

    • [eess.IV]Variable Rate Deep Image Compression with Modulated Autoencoder
    Fei Yang, Luis Herranz, Joost van de Weijer, José A. Iglesias Guitián, Antonio López, Mikhail Mozerov
    http://arxiv.org/abs/1912.05526v1

    • [eess.IV]Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models
    Sanja Šćepanović, Oleg Antropov, Pekka Laurila, Vladimir Ignatenko, Jaan Praks
    http://arxiv.org/abs/1912.05067v1

    • [eess.SP]Low-Complexity LSTM-Assisted Bit-Flipping Algorithm for Successive Cancellation List Polar Decoder
    Chun-Hsiang Chen, Chieh-Fang Teng, An-Yeu Wu
    http://arxiv.org/abs/1912.05158v1

    • [eess.SP]Neural Memory Networks for Robust Classification of Seizure Type
    David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes
    http://arxiv.org/abs/1912.04968v1

    • [eess.SP]SenseNet: Deep Learning based Wideband spectrum sensing and modulation classification network
    Shivam Chandhok, Himani Joshi, A V Subramanyam, Sumit J. Darak
    http://arxiv.org/abs/1912.05255v1

    • [eess.SP]Severity Detection Tool for Patients with Infectious Disease
    Girmaw Abebe Tadesse, Tingting Zhu, Nhan Le Nguyen Thanh, Nguyen Thanh Hung, Ha Thi Hai Duong, Truong Huu Khanh, Pham Van Quang, Duc Duong Tran, LamMinh Yen, H Rogier Van Doorn, Nguyen Van Hao, John Prince, Hamza Javed, DaniKiyasseh, Le Van Tan, Louise Thwaites, David A. Clifton
    http://arxiv.org/abs/1912.05345v1

    • [eess.SP]Sparse Joint Transmission for Cell-Free Massive MIMO: A Sparse PCA Approach
    Deokhwan Han, Jeonghun Park, Namyoon Lee
    http://arxiv.org/abs/1912.05231v1

    • [eess.SY]Event Detection in Micro-PMU Data: A Generative Adversarial Network Scoring Method
    Armin Aligholian, Alireza Shahsavari, Ed Cortez, Emma Stewart, Hamed Mohsenian-Rad
    http://arxiv.org/abs/1912.05103v1

    • [math.CO]Integer Partitions Probability Distributions
    Andrew V. Sills
    http://arxiv.org/abs/1912.05306v1

    • [math.NA]Tensor Completion via Gaussian Process Based Initialization
    Yermek Kapushev, Ivan Oseledets, Evgeny Burnaev
    http://arxiv.org/abs/1912.05179v1

    • [math.PR]Mean-Field Neural ODEs via Relaxed Optimal Control
    Jean-François Jabir, David Šiška, Łukasz Szpruch
    http://arxiv.org/abs/1912.05475v1

    • [math.PR]Quantitative Universality for the Largest Eigenvalue of Sample Covariance Matrices
    Haoyu Wang
    http://arxiv.org/abs/1912.05473v1

    • [math.ST]Analysis of the rate of convergence of neural network regression estimates which are easy to implement
    Alina Braun, Michael Kohler, Adam Krzyzak
    http://arxiv.org/abs/1912.05436v1

    • [math.ST]Frequentist Consistency of Generalized Variational Inference
    Jeremias Knoblauch
    http://arxiv.org/abs/1912.04946v1

    • [math.ST]Testing Independence with the Binary Expansion Randomized Ensemble Test
    Duyeol Lee, Kai Zhang, Michael R. Kosorok
    http://arxiv.org/abs/1912.03662v2

    • [stat.AP]Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse and Fragmented Functional Data
    James Matuk, Karthik Bharath, Oksana Chkrebtii, Sebastian Kurtek
    http://arxiv.org/abs/1912.05125v1

    • [stat.AP]European banks’ business models and their credit risk: A cluster analysis in a high-dimensional context
    Matteo Farnè, Angelos T. Vouldis
    http://arxiv.org/abs/1912.05025v1

    • [stat.AP]Measuring Spatial Allocative Efficiency in Basketball
    Nathan Sandholtz, Jacob Mortensen, Luke Bornn
    http://arxiv.org/abs/1912.05129v1

    • [stat.AP]Robust joint modelling of longitudinal and survival data with a time-varying degrees-of-freedom parameter
    Lisa McFetridge, Ozgur Asar, Jonas Wallin
    http://arxiv.org/abs/1912.05133v1

    • [stat.ME]Asymptotic based bootstrap approach for matched pairs with missingness in a single-arm
    Lubna Amro, Markus Pauly, Burim Ramosaj
    http://arxiv.org/abs/1912.04902v1

    • [stat.ME]Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology
    Abhra Sarkar, Debdeep Pati, Bani K. Mallick, Raymond J. Carroll
    http://arxiv.org/abs/1912.05084v1

    • [stat.ME]Center-outward quantiles and the measurement of multivariate risk
    Jan Beirlant, Sven Buitendag, Eustasio del Bario, Marc Hallin
    http://arxiv.org/abs/1912.04924v1

    • [stat.ME]Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data
    Minjie Wang, Genevera I. Allen
    http://arxiv.org/abs/1912.05449v1

    • [stat.ME]More for less: Predicting and maximizing genetic variant discovery via Bayesian nonparametrics
    Lorenzo Masoero, Federico Camerlenghi, Stefano Favaro, Tamara Broderick
    http://arxiv.org/abs/1912.05516v1

    • [stat.ME]Nonparametric Universal Copula Modeling
    Subhadeep Mukhopadhyay, Emanuel Parzen
    http://arxiv.org/abs/1912.05503v1

    • [stat.ME]Sample Size Estimation using a Latent Variable Model for Mixed Outcome Co-Primary, Multiple Primary and Composite Endpoints
    Martina McMenamin, Jessica K. Barrett, Anna Berglind, James M. S. Wason
    http://arxiv.org/abs/1912.05258v1

    • [stat.ML]A Closer Look at Disentangling in $β$-VAE
    Harshvardhan Sikka, Weishun Zhong, Jun Yin, Cengiz Pehlevan
    http://arxiv.org/abs/1912.05127v1

    • [stat.ML]Fenton-Wilkinson Order Statistics and German Tanks: A Case Study of an Orienteering Relay Race
    Joonas Pääkkönen
    http://arxiv.org/abs/1912.05034v1

    • [stat.ML]Representational Rényi heterogeneity
    Abraham Nunes, Martin Alda, Timothy Bardouille, Thomas Trappenberg
    http://arxiv.org/abs/1912.05031v1

    • [stat.ML]Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing
    Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
    http://arxiv.org/abs/1912.05153v1

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