astro-ph.IM - 仪器仪表和天体物理学方法

    cond-mat.dis-nn - 无序系统与神经网络 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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 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.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AG - 代数几何 math.CO - 组合数学 math.OC - 优化与控制 math.ST - 统计理论 nlin.AO - 适应和自组织系统 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Streaming Classification of Variable Stars
    • [cond-mat.dis-nn]Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning
    • [cs.AI]An Interpretable Prediction Model for Obesity Prediction using EHR Data
    • [cs.AI]Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation
    • [cs.AI]Improving Policies via Search in Cooperative Partially Observable Games
    • [cs.AI]Inter-Level Cooperation in Hierarchical Reinforcement Learning
    • [cs.AI]Reinforcement Learning with Non-Markovian Rewards
    • [cs.AI]Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
    • [cs.AI]Solving Advanced Argumentation Problems with Answer Set Programming
    • [cs.AI]Towards Explainable Deep Neural Networks (xDNN)
    • [cs.CL]Complete Variable-Length Codes: An Excursion into Word Edit Operations
    • [cs.CL]Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach
    • [cs.CL]Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation
    • [cs.CL]Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue
    • [cs.CL]Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks
    • [cs.CL]Learning to Predict Explainable Plots for Neural Story Generation
    • [cs.CL]Love Me, Love Me, Say (and Write!) that You Love Me: Enriching the WASABI Song Corpus with Lyrics Annotations
    • [cs.CL]Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi
    • [cs.CL]Measuring Social Bias in Knowledge Graph Embeddings
    • [cs.CL]SemEval-2015 Task 10: Sentiment Analysis in Twitter
    • [cs.CR]A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks
    • [cs.CR]ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction
    • [cs.CR]Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning
    • [cs.CV]12-in-1: Multi-Task Vision and Language Representation Learning
    • [cs.CV]15 Keypoints Is All You Need
    • [cs.CV]3D Objectness Estimation via Bottom-up Regret Grouping
    • [cs.CV]A Document Skew Detection Method Using Fast Hough Transform
    • [cs.CV]A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels
    • [cs.CV]BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
    • [cs.CV]Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning
    • [cs.CV]Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
    • [cs.CV]CLOTH3D: Clothed 3D Humans
    • [cs.CV]Compositional Temporal Visual Grounding of Natural Language Event Descriptions
    • [cs.CV]Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
    • [cs.CV]Deep Learning Based Segmentation Free License Plate Recognition Using Roadway Surveillance Camera Images
    • [cs.CV]Deep Morphological Hit-or-Miss Transform Neural Network
    • [cs.CV]E2-Capsule Neural Networks for Facial Expression Recognition Using AU-Aware Attention
    • [cs.CV]EmbedMask: Embedding Coupling for One-stage Instance Segmentation
    • [cs.CV]Fingerprint Spoof Generalization
    • [cs.CV]KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects
    • [cs.CV]Let’s Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving
    • [cs.CV]MORPHOLO C++ Library for glasses-free multi-view stereo vision and streaming of live 3D video
    • [cs.CV]Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
    • [cs.CV]Multiple Anchor Learning for Visual Object Detection
    • [cs.CV]OASIS: One-pass aligned Atlas Set for Image Segmentation
    • [cs.CV]PolyTransform: Deep Polygon Transformer for Instance Segmentation
    • [cs.CV]Post-Mortem Iris Recognition Resistant to Biological Eye Decay Processes
    • [cs.CV]Revisiting Few-Shot Learning for Facial Expression Recognition
    • [cs.CV]Revisiting Non Local Sparse Models for Image Restoration
    • [cs.CV]Self-Supervised Learning of Video-Induced Visual Invariances
    • [cs.CV]Smartphone Multi-modal Biometric Authentication: Database and Evaluation
    • [cs.CV]Spatial-Frequency Domain Nonlocal Total Variation for Image Denoising
    • [cs.CV]Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing
    • [cs.CV]Towards Robust Image Classification Using Sequential Attention Models
    • [cs.CV]Ultrafast Photorealistic Style Transfer via Neural Architecture Search
    • [cs.CV]Walking on the Edge: Fast, Low-Distortion Adversarial Examples
    • [cs.CV]Zero-Shot Generation of Human-Object Interaction Videos
    • [cs.CY]In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes
    • [cs.DC]Efficient Deterministic Distributed Coloring with Small Bandwidth
    • [cs.DC]GPU Computing with Python: Performance, Energy Efficiency and Usability
    • [cs.DC]Perseus: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models
    • [cs.DC]Probabilistic Dynamic Hard Real-Time Scheduling in HPC
    • [cs.DS]Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data
    • [cs.HC]Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System
    • [cs.IR]Evaluation Metrics for Item Recommendation under Sampling
    • [cs.IR]Information Retrieval and Its Sister Disciplines
    • [cs.IR]WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset
    • [cs.IT]All-Digital Massive MIMO Uplink and Downlink Rates under a Fronthaul Constraint
    • [cs.IT]Continuous Phase Modulation With 1-Bit Quantization and Oversampling Using Iterative Detection and Decoding
    • [cs.IT]Cryptographically Strong Permutations from the Butterfly Structure
    • [cs.IT]Gaussian Data-aided Sensing with Multichannel Random Access and Model Selection
    • [cs.IT]Leveraging Prior Knowledge Asymmetries in the Design of Location Privacy-Preserving Mechanisms
    • [cs.IT]Optimizing Information Freshness Through Computation-Transmission Tradeoff and Queue Management in Edge Computing
    • [cs.IT]Polarized Low-Density Parity-Check Codes on the BSC
    • [cs.IT]Power Minimization in Wireless Sensor Networks With Constrained AoI Using Stochastic Optimization
    • [cs.IT]Robustness of Low-Complexity Massive MIMO Architectures Against Passive Eavesdropping
    • [cs.IT]Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO
    • [cs.LG]A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection
    • [cs.LG]Adversarial Risk via Optimal Transport and Optimal Couplings
    • [cs.LG]Analysis of the Optimization Landscapes for Overcomplete Representation Learning
    • [cs.LG]Angular Visual Hardness
    • [cs.LG]Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion
    • [cs.LG]Clustering Time-Series by a Novel Slope-Based Similarity Measure Considering Particle Swarm Optimization
    • [cs.LG]Collective Learning
    • [cs.LG]Combining Q-Learning and Search with Amortized Value Estimates
    • [cs.LG]Correspondent Banking Networks: Theory and Experiment
    • [cs.LG]Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space
    • [cs.LG]Deep Double Descent: Where Bigger Models and More Data Hurt
    • [cs.LG]Deep Model Compression via Deep Reinforcement Learning
    • [cs.LG]Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning
    • [cs.LG]Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon
    • [cs.LG]Fundamental Limitations in Sequential Prediction and Recursive Algorithms: $\mathcal{L}_{p}$ Bounds via an Entropic Analysis
    • [cs.LG]HABNet: Machine Learning, Remote Sensing Based Detection and Prediction of Harmful Algal Blooms
    • [cs.LG]Hindsight Credit Assignment
    • [cs.LG]Iterative Policy-Space Expansion in Reinforcement Learning
    • [cs.LG]Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points
    • [cs.LG]Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
    • [cs.LG]Learning Efficient Representation for Intrinsic Motivation
    • [cs.LG]MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning
    • [cs.LG]Natural Alpha Embeddings
    • [cs.LG]On the Sample Complexity of Learning Sum-Product Networks
    • [cs.LG]Optimizing Norm-Bounded Weighted Ambiguity Sets for Robust MDPs
    • [cs.LG]Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models
    • [cs.LG]Region-Wise Attack: On Efficient Generation of Robust Physical Adversarial Examples
    • [cs.LG]RoNGBa: A Robustly Optimized Natural Gradient Boosting Training Approach with Leaf Number Clipping
    • [cs.LG]Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
    • [cs.LG]Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function
    • [cs.LG]Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency
    • [cs.LG]Tensor Recovery from Noisy and Multi-Level Quantized Measurements
    • [cs.LG]The Search for Sparse, Robust Neural Networks
    • [cs.LG]The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis
    • [cs.LG]Towards Robust Relational Causal Discovery
    • [cs.LG]Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding
    • [cs.LG]Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning
    • [cs.LO]Exploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar
    • [cs.NE]Is perturbation an effective restart strategy?
    • [cs.NE]Scratch that! An Evolution-based Adversarial Attack against Neural Networks
    • [cs.NI]5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges
    • [cs.NI]Reinforcement learning for bandwidth estimation and congestion control in real-time communications
    • [cs.PL]Perfectly Parallel Fairness Certification of Neural Networks
    • [cs.RO]Learning from Interventions using Hierarchical Policies for Safe Learning
    • [cs.RO]Reorienting Objects in 3D Space Using Pivoting
    • [cs.RO]Robotic Surveillance Based on the Meeting Time of Random Walks
    • [cs.RO]VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite
    • [cs.SD]Towards Robust Neural Vocoding for Speech Generation: A Survey
    • [cs.SD]VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge
    • [cs.SI]EviDense: a Graph-based Method for Finding Unique High-impact Events with Succinct Keyword-based Descriptions
    • [econ.GN]Modeling and Prediction of Iran’s Steel Consumption Based on Economic Activity Using Support Vector Machines
    • [eess.AS]Audio-Visual Target Speaker Extraction on Multi-Talker Environment using Event-Driven Cameras
    • [eess.IV]Learning to synthesise the ageing brain without longitudinal data
    • [eess.SP]HodgeNet: Graph Neural Networks for Edge Data
    • [eess.SY]Architecting Safety Supervisors for High Levels of Automated Driving
    • [eess.SY]Data-driven sensor scheduling for remote estimation in wireless networks
    • [math.AG]Gaussian graphical models with toric vanishing ideals
    • [math.CO]Construction of $s$-extremal optimal unimodular lattices in dimension 52
    • [math.OC]A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms
    • [math.OC]Lower Bounds for Non-Convex Stochastic Optimization
    • [math.ST]Inference for Two Lomax Populations Under Joint Type-II Censoring
    • [math.ST]KoPA: Automated Kronecker Product Approximation
    • [nlin.AO]Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links
    • [q-bio.NC]Phase/amplitude synchronization of brain signals during motor imagery BCI tasks
    • [stat.AP]Bayesian Functional Mixed-Effects Model with Gaussian Process Responses for Wavelet Spectra of Spatiotemporal Colonic Manometry Signals
    • [stat.AP]Collective dynamics of pedestrians in a non-panic evacuation scenario
    • [stat.AP]Generative Synthesis of Insurance Datasets
    • [stat.AP]The Autoregressive Structural Model for analyzing longitudinal health data of an aging population in China
    • [stat.ME]Advanced analysis of temporal data using Fisher-Shannon information: theoretical development and application in geosciences
    • [stat.ME]Another look at the Lady Tasting Tea and permutation-based randomization tests
    • [stat.ME]Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
    • [stat.ME]Outlier detection and a tail-adjusted boxplot based on extreme value theory
    • [stat.ME]Sensitivity Analysis via the Proportion of Unmeasured Confounding
    • [stat.ML]A sparse negative binomial mixture model for clustering RNA-seq count data
    • [stat.ML]AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
    • [stat.ML]Causal structure based root cause analysis of outliers
    • [stat.ML]Deep Ensembles: A Loss Landscape Perspective
    • [stat.ML]Indian Buffet Neural Networks for Continual Learning
    • [stat.ML]Label-Consistent Backdoor Attacks
    • [stat.ML]MetaFun: Meta-Learning with Iterative Functional Updates
    • [stat.ML]Neural Tangents: Fast and Easy Infinite Neural Networks in Python
    • [stat.ML]Normalizing Flows for Probabilistic Modeling and Inference
    • [stat.ML]Ordinal Bayesian Optimisation
    • [stat.ML]Representing Closed Transformation Paths in Encoded Network Latent Space
    • [stat.ML]Warped Input Gaussian Processes for Time Series Forecasting

    ·····································

    • [astro-ph.IM]Streaming Classification of Variable Stars
    Lukas Zorich, Karim Pichara, Pavlos Protopapas
    http://arxiv.org/abs/1912.02235v1

    • [cond-mat.dis-nn]Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning
    Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová
    http://arxiv.org/abs/1912.02729v1

    • [cs.AI]An Interpretable Prediction Model for Obesity Prediction using EHR Data
    Mehak Gupta, Thao-Ly T. Phan, George Datto, Timothy Bunnell, Rahmatollah Beheshti
    http://arxiv.org/abs/1912.02655v1

    • [cs.AI]Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation
    Siyu Zhou, Mariano J. Phielipp, Jorge A. Sefair, Sara I. Walker, Heni Ben Amor
    http://arxiv.org/abs/1912.02811v1

    • [cs.AI]Improving Policies via Search in Cooperative Partially Observable Games
    Adam Lerer, Hengyuan Hu, Jakob Foerster, Noam Brown
    http://arxiv.org/abs/1912.02318v1

    • [cs.AI]Inter-Level Cooperation in Hierarchical Reinforcement Learning
    Abdul Rahman Kreidieh, Samyak Parajuli, Nathan Lichtle, Yiling You, Rayyan Nasr, Alexandre M. Bayen
    http://arxiv.org/abs/1912.02368v1

    • [cs.AI]Reinforcement Learning with Non-Markovian Rewards
    Maor Gaon, Ronen I. Brafman
    http://arxiv.org/abs/1912.02552v1

    • [cs.AI]Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
    Hengyuan Hu, Jakob N Foerster
    http://arxiv.org/abs/1912.02288v1

    • [cs.AI]Solving Advanced Argumentation Problems with Answer Set Programming
    Gerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran
    http://arxiv.org/abs/1912.02734v1

    • [cs.AI]Towards Explainable Deep Neural Networks (xDNN)
    Plamen Angelov, Eduardo Soares
    http://arxiv.org/abs/1912.02523v1

    • [cs.CL]Complete Variable-Length Codes: An Excursion into Word Edit Operations
    Jean Néraud
    http://arxiv.org/abs/1912.02646v1

    • [cs.CL]Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach
    Yunan Zhang, Xiang Cheng, Heting Gao, Chengxiang Zhai
    http://arxiv.org/abs/1912.02206v1

    • [cs.CL]Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation
    Jie Zhao, Xiang Deng, Huan Sun
    http://arxiv.org/abs/1912.02367v1

    • [cs.CL]Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue
    Jun Quan, Deyi Xiong
    http://arxiv.org/abs/1912.02478v1

    • [cs.CL]Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks
    Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang
    http://arxiv.org/abs/1912.02545v1

    • [cs.CL]Learning to Predict Explainable Plots for Neural Story Generation
    Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, Maosong Sun
    http://arxiv.org/abs/1912.02395v1

    • [cs.CL]Love Me, Love Me, Say (and Write!) that You Love Me: Enriching the WASABI Song Corpus with Lyrics Annotations
    Michael Fell, Elena Cabrio, Elmahdi Korfed, Michel Buffa, Fabien Gandon
    http://arxiv.org/abs/1912.02477v1

    • [cs.CL]Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi
    Jesujoba O. Alabi, Kwabena Amponsah-Kaakyire, David I. Adelani, Cristina España-Bonet
    http://arxiv.org/abs/1912.02481v1

    • [cs.CL]Measuring Social Bias in Knowledge Graph Embeddings
    Joseph Fisher
    http://arxiv.org/abs/1912.02761v1

    • [cs.CL]SemEval-2015 Task 10: Sentiment Analysis in Twitter
    Sara Rosenthal, Saif M Mohammad, Preslav Nakov, Alan Ritter, Svetlana Kiritchenko, Veselin Stoyanov
    http://arxiv.org/abs/1912.02387v1

    • [cs.CR]A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks
    Prithviraj Dasgupta, Joseph B. Collins
    http://arxiv.org/abs/1912.02258v1

    • [cs.CR]ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction
    Harsh Chaudhari, Ashish Choudhury, Arpita Patra, Ajith Suresh
    http://arxiv.org/abs/1912.02592v1

    • [cs.CR]Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning
    Maede Zolanvari, Marcio A. Teixeira, Raj Jain
    http://arxiv.org/abs/1912.02651v1

    • [cs.CV]12-in-1: Multi-Task Vision and Language Representation Learning
    Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee
    http://arxiv.org/abs/1912.02315v1

    • [cs.CV]15 Keypoints Is All You Need
    Michael Snower, Asim Kadav, Farley Lai, Hans Peter Graf
    http://arxiv.org/abs/1912.02323v1

    • [cs.CV]3D Objectness Estimation via Bottom-up Regret Grouping
    Zelin Ye, Yan Hao, Liang Xu, Rui Zhu, Cewu Lu
    http://arxiv.org/abs/1912.02332v1

    • [cs.CV]A Document Skew Detection Method Using Fast Hough Transform
    Pavel Bezmaternykh, Dmitry Nikolaev
    http://arxiv.org/abs/1912.02504v1

    • [cs.CV]A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels
    Daniel Rika, Dror Sholomon, Eli David, Nathan S. Netanyahu
    http://arxiv.org/abs/1912.02707v1

    • [cs.CV]BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
    Boyan Zhou, Quan Cui, Xiu-Shen Wei, Zhao-Min Chen
    http://arxiv.org/abs/1912.02413v1

    • [cs.CV]Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning
    Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris
    http://arxiv.org/abs/1912.02470v1

    • [cs.CV]Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
    Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li
    http://arxiv.org/abs/1912.02424v1

    • [cs.CV]CLOTH3D: Clothed 3D Humans
    Hugo Bertiche, Meysam Madadi, Sergio Escalera
    http://arxiv.org/abs/1912.02792v1

    • [cs.CV]Compositional Temporal Visual Grounding of Natural Language Event Descriptions
    Jonathan C. Stroud, Ryan McCaffrey, Rada Mihalcea, Jia Deng, Olga Russakovsky
    http://arxiv.org/abs/1912.02256v1

    • [cs.CV]Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
    Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Fredo Durand
    http://arxiv.org/abs/1912.02314v1

    • [cs.CV]Deep Learning Based Segmentation Free License Plate Recognition Using Roadway Surveillance Camera Images
    Alperen Elihos, Burak Balci, Bensu Alkan, Yusuf Artan
    http://arxiv.org/abs/1912.02441v1

    • [cs.CV]Deep Morphological Hit-or-Miss Transform Neural Network
    Muhammad Aminul Islam, Bryce Murray, Andrew Buck, Derek T. Anderson, Grant Scott, Mihail Popescu, James Keller
    http://arxiv.org/abs/1912.02259v1

    • [cs.CV]E2-Capsule Neural Networks for Facial Expression Recognition Using AU-Aware Attention
    Shan Cao, Yuqian Yao, Gaoyun An
    http://arxiv.org/abs/1912.02491v1

    • [cs.CV]EmbedMask: Embedding Coupling for One-stage Instance Segmentation
    Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, Kun Zhou
    http://arxiv.org/abs/1912.01954v2

    • [cs.CV]Fingerprint Spoof Generalization
    Tarang Chugh, Anil K. Jain
    http://arxiv.org/abs/1912.02710v1

    • [cs.CV]KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects
    Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
    http://arxiv.org/abs/1912.02805v1

    • [cs.CV]Let’s Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving
    Michal Uricar, Ganesh Sistu, Hazem Rashed, Antonin Vobecky, Pavel Krizek, Fabian Burger, Senthil Yogamani
    http://arxiv.org/abs/1912.02249v1

    • [cs.CV]MORPHOLO C++ Library for glasses-free multi-view stereo vision and streaming of live 3D video
    Enrique Canessa, Livio Tenze
    http://arxiv.org/abs/1912.02202v1

    • [cs.CV]Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
    Guy Shiran, Daphna Weinshall
    http://arxiv.org/abs/1912.02678v1

    • [cs.CV]Multiple Anchor Learning for Visual Object Detection
    Wei Ke, Tianliang Zhang, Zeyi Huang, Qixiang Ye, Jianzhuang Liu, Dong Huang
    http://arxiv.org/abs/1912.02252v1

    • [cs.CV]OASIS: One-pass aligned Atlas Set for Image Segmentation
    Qikui Zhu, Bo Du, Pingkun Yan
    http://arxiv.org/abs/1912.02417v1

    • [cs.CV]PolyTransform: Deep Polygon Transformer for Instance Segmentation
    Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun
    http://arxiv.org/abs/1912.02801v1

    • [cs.CV]Post-Mortem Iris Recognition Resistant to Biological Eye Decay Processes
    Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
    http://arxiv.org/abs/1912.02512v1

    • [cs.CV]Revisiting Few-Shot Learning for Facial Expression Recognition
    Anca-Nicoleta Ciubotaru, Arnout Devos, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran, Maria Gabrani
    http://arxiv.org/abs/1912.02751v1

    • [cs.CV]Revisiting Non Local Sparse Models for Image Restoration
    Bruno Lecouat, Jean Ponce, Julien Mairal
    http://arxiv.org/abs/1912.02456v1

    • [cs.CV]Self-Supervised Learning of Video-Induced Visual Invariances
    Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic
    http://arxiv.org/abs/1912.02783v1

    • [cs.CV]Smartphone Multi-modal Biometric Authentication: Database and Evaluation
    Raghavendra Ramachandra, Martin Stokkenes, Amir Mohammadi, Sushma Venkatesh, Kiran Raja, Pankaj Wasnik, Eric Poiret, Sébastien Marcel, Christoph Busch
    http://arxiv.org/abs/1912.02487v1

    • [cs.CV]Spatial-Frequency Domain Nonlocal Total Variation for Image Denoising
    Haijuan Hu, Jacques Froment, Baoyan Wang, Xiequan Fan
    http://arxiv.org/abs/1912.02357v1

    • [cs.CV]Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing
    Ajian Liu, Zichang Tan, Xuan Li, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li
    http://arxiv.org/abs/1912.02340v1

    • [cs.CV]Towards Robust Image Classification Using Sequential Attention Models
    Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohl
    http://arxiv.org/abs/1912.02184v1

    • [cs.CV]Ultrafast Photorealistic Style Transfer via Neural Architecture Search
    Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo
    http://arxiv.org/abs/1912.02398v1

    • [cs.CV]Walking on the Edge: Fast, Low-Distortion Adversarial Examples
    Hanwei Zhang, Yannis Avrithis, Teddy Furon, Laurent Amsaleg
    http://arxiv.org/abs/1912.02153v2

    • [cs.CV]Zero-Shot Generation of Human-Object Interaction Videos
    Megha Nawhal, Mengyao Zhai, Andreas Lehrmann, Leonid Sigal
    http://arxiv.org/abs/1912.02401v1

    • [cs.CY]In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes
    Maryam Ashoori, Justin D. Weisz
    http://arxiv.org/abs/1912.02675v1

    • [cs.DC]Efficient Deterministic Distributed Coloring with Small Bandwidth
    Philipp Bamberger, Fabian Kuhn, Yannic Maus
    http://arxiv.org/abs/1912.02814v1

    • [cs.DC]GPU Computing with Python: Performance, Energy Efficiency and Usability
    Håvard H. Holm, André R. Brodtkorb, Martin L. Sætra
    http://arxiv.org/abs/1912.02607v1

    • [cs.DC]Perseus: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models
    Matthew LeMay, Shijian Li, Tian Guo
    http://arxiv.org/abs/1912.02322v1

    • [cs.DC]Probabilistic Dynamic Hard Real-Time Scheduling in HPC
    Florian Hofer, Martin A. Sehr, Alberto Sangiovanni-Vincentelli, Barbara Russo
    http://arxiv.org/abs/1912.02531v1

    • [cs.DS]Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data
    Benjamin Coleman, Anshumali Shrivastava
    http://arxiv.org/abs/1912.02283v1

    • [cs.HC]Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System
    Marco Avvenuti, Salvatore Bellomo, Stefano Cresci, Leonardo Nizzoli, Maurizio Tesconi
    http://arxiv.org/abs/1912.02182v1

    • [cs.IR]Evaluation Metrics for Item Recommendation under Sampling
    Steffen Rendle
    http://arxiv.org/abs/1912.02263v1

    • [cs.IR]Information Retrieval and Its Sister Disciplines
    Grace Hui Yang
    http://arxiv.org/abs/1912.02346v1

    • [cs.IR]WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset
    Jibril Frej, Didier Schwab, Jean-Pierre Chevallet
    http://arxiv.org/abs/1912.01901v2

    • [cs.IT]All-Digital Massive MIMO Uplink and Downlink Rates under a Fronthaul Constraint
    Y. Ettefagh, S. Jacobsson, A. Hu, G. Durisi, C. Studer
    http://arxiv.org/abs/1912.02718v1

    • [cs.IT]Continuous Phase Modulation With 1-Bit Quantization and Oversampling Using Iterative Detection and Decoding
    Rodrigo R. M. de Alencar, Lukas T. N. Landau, Rodrigo C. de Lamare
    http://arxiv.org/abs/1912.02296v1

    • [cs.IT]Cryptographically Strong Permutations from the Butterfly Structure
    Kangquan Li, Chunlei Li, Tor Helleseth, Longjiang Qu
    http://arxiv.org/abs/1912.02640v1

    • [cs.IT]Gaussian Data-aided Sensing with Multichannel Random Access and Model Selection
    Jinho Choi
    http://arxiv.org/abs/1912.02298v1

    • [cs.IT]Leveraging Prior Knowledge Asymmetries in the Design of Location Privacy-Preserving Mechanisms
    Nazanin Takbiri, Virat Shejwalker, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik
    http://arxiv.org/abs/1912.02209v1

    • [cs.IT]Optimizing Information Freshness Through Computation-Transmission Tradeoff and Queue Management in Edge Computing
    Peng Zou, Omur Ozel, Suresh Subramaniam
    http://arxiv.org/abs/1912.02692v1

    • [cs.IT]Polarized Low-Density Parity-Check Codes on the BSC
    Binbin Gao, Huarui Yin, Zhengdao Wang
    http://arxiv.org/abs/1912.02544v1

    • [cs.IT]Power Minimization in Wireless Sensor Networks With Constrained AoI Using Stochastic Optimization
    Mohammad Moltafet, Markus Leinonen, Marian Codreanu, Nikolaos Pappas
    http://arxiv.org/abs/1912.02421v1

    • [cs.IT]Robustness of Low-Complexity Massive MIMO Architectures Against Passive Eavesdropping
    Ali Bereyhi, Saba Asaad, Ralf R. Müller, Rafael F. Schaefer, Georg Fischer, H. Vincent Poor
    http://arxiv.org/abs/1912.02444v1

    • [cs.IT]Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO
    Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang, Saeid Haghighatshoar, Giuseppe Caire
    http://arxiv.org/abs/1912.02455v1

    • [cs.LG]A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection
    Niloofar Yousefi, Marie Alaghband, Ivan Garibay
    http://arxiv.org/abs/1912.02629v1

    • [cs.LG]Adversarial Risk via Optimal Transport and Optimal Couplings
    Muni Sreenivas Pydi, Varun Jog
    http://arxiv.org/abs/1912.02794v1

    • [cs.LG]Analysis of the Optimization Landscapes for Overcomplete Representation Learning
    Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu
    http://arxiv.org/abs/1912.02427v1

    • [cs.LG]Angular Visual Hardness
    Beidi Chen, Weiyang Liu Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Jan Kautz, Anima Anandkumar
    http://arxiv.org/abs/1912.02279v1

    • [cs.LG]Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion
    Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo
    http://arxiv.org/abs/1912.02686v1

    • [cs.LG]Clustering Time-Series by a Novel Slope-Based Similarity Measure Considering Particle Swarm Optimization
    Hossein Kamalzadeh, Abbas Ahmadi, Saeed Mansour
    http://arxiv.org/abs/1912.02405v1

    • [cs.LG]Collective Learning
    Francesco Farina
    http://arxiv.org/abs/1912.02580v1

    • [cs.LG]Combining Q-Learning and Search with Amortized Value Estimates
    Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia
    http://arxiv.org/abs/1912.02807v1

    • [cs.LG]Correspondent Banking Networks: Theory and Experiment
    Nima Safaei, Ivan Sergienko
    http://arxiv.org/abs/1912.02262v1

    • [cs.LG]Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space
    Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis, Amy K. Hoover
    http://arxiv.org/abs/1912.02400v1

    • [cs.LG]Deep Double Descent: Where Bigger Models and More Data Hurt
    Preetum Nakkiran, Gal Kaplun, Yamini Bansal, Tristan Yang, Boaz Barak, Ilya Sutskever
    http://arxiv.org/abs/1912.02292v1

    • [cs.LG]Deep Model Compression via Deep Reinforcement Learning
    Huixin Zhan, Yongcan Cao
    http://arxiv.org/abs/1912.02254v1

    • [cs.LG]Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning
    Jiaxi Liu, Yidong Zhang, Xiaoqing Wang, Yuming Deng, Xingyu Wu
    http://arxiv.org/abs/1912.02572v1

    • [cs.LG]Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon
    Kiwan Maeng, Iskender Kushan, Brandon Lucia, Ashish Kapoor
    http://arxiv.org/abs/1912.02276v1

    • [cs.LG]Fundamental Limitations in Sequential Prediction and Recursive Algorithms: $\mathcal{L}_{p}$ Bounds via an Entropic Analysis
    Song Fang, Quanyan Zhu
    http://arxiv.org/abs/1912.02628v1

    • [cs.LG]HABNet: Machine Learning, Remote Sensing Based Detection and Prediction of Harmful Algal Blooms
    P. R. Hill, A. Kumar, M. Temimi, D. R. Bull
    http://arxiv.org/abs/1912.02305v1

    • [cs.LG]Hindsight Credit Assignment
    Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Azar, Bilal Piot, Nicolas Heess, Hado van Hasselt, Greg Wayne, Satinder Singh, Doina Precup, Remi Munos
    http://arxiv.org/abs/1912.02503v1

    • [cs.LG]Iterative Policy-Space Expansion in Reinforcement Learning
    Jan Malte Lichtenberg, Özgür Şimşek
    http://arxiv.org/abs/1912.02532v1

    • [cs.LG]Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points
    Zitong Wang, Li Wang, Raymond Chan, Tieyong Zeng
    http://arxiv.org/abs/1912.02233v1

    • [cs.LG]Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
    Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das
    http://arxiv.org/abs/1912.02379v1

    • [cs.LG]Learning Efficient Representation for Intrinsic Motivation
    Ruihan Zhao, Stas Tiomkin, Pieter Abbeel
    http://arxiv.org/abs/1912.02624v1

    • [cs.LG]MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning
    Tomaso Fontanini, Eleonora Iotti, Luca Donati, Andrea Prati
    http://arxiv.org/abs/1912.02494v1

    • [cs.LG]Natural Alpha Embeddings
    Riccardo Volpi, Luigi Malagò
    http://arxiv.org/abs/1912.02280v1

    • [cs.LG]On the Sample Complexity of Learning Sum-Product Networks
    Ishaq Aden-Ali, Hassan Ashtiani
    http://arxiv.org/abs/1912.02765v1

    • [cs.LG]Optimizing Norm-Bounded Weighted Ambiguity Sets for Robust MDPs
    Reazul Hasan Russel, Bahram Behzadian, Marek Petrik
    http://arxiv.org/abs/1912.02696v1

    • [cs.LG]Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models
    Joshua C. Chang, Shashaank Vattikuti, Carson C. Chow
    http://arxiv.org/abs/1912.02351v1

    • [cs.LG]Region-Wise Attack: On Efficient Generation of Robust Physical Adversarial Examples
    Bo Luo, Qiang Xu
    http://arxiv.org/abs/1912.02598v1

    • [cs.LG]RoNGBa: A Robustly Optimized Natural Gradient Boosting Training Approach with Leaf Number Clipping
    Liliang Ren, Gen Sun, Jiaman Wu
    http://arxiv.org/abs/1912.02338v1

    • [cs.LG]Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
    Tong Teng, Jie Chen, Yehong Zhang, Kian Hsiang Low
    http://arxiv.org/abs/1912.02641v1

    • [cs.LG]Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function
    Grégoire Mialon, Alexandre d’Aspremont, Julien Mairal
    http://arxiv.org/abs/1912.02566v1

    • [cs.LG]Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency
    Xing Meng, Craig H. Ganoe, Ryan T. Sieberg, Yvonne Y. Cheung, Saeed Hassanpour
    http://arxiv.org/abs/1912.02703v1

    • [cs.LG]Tensor Recovery from Noisy and Multi-Level Quantized Measurements
    Ren Wang, Meng Wang, Jinjun Xiong
    http://arxiv.org/abs/1912.02588v1

    • [cs.LG]The Search for Sparse, Robust Neural Networks
    Justin Cosentino, Federico Zaiter, Dan Pei, Jun Zhu
    http://arxiv.org/abs/1912.02386v1

    • [cs.LG]The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis
    Jessica A. F. Thompson, Yoshua Bengio, Marc Schoenwiesner
    http://arxiv.org/abs/1912.02260v1

    • [cs.LG]Towards Robust Relational Causal Discovery
    Sanghack Lee, Vasant Honavar
    http://arxiv.org/abs/1912.02390v1

    • [cs.LG]Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding
    Zhiyang Zhang, Shihua Zhang
    http://arxiv.org/abs/1912.02605v1

    • [cs.LG]Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning
    Rahul Rachuri, Ajith Suresh
    http://arxiv.org/abs/1912.02631v1

    • [cs.LO]Exploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar
    Qingxiang Wang, Chad Brown, Cezary Kaliszyk, Josef Urban
    http://arxiv.org/abs/1912.02636v1

    • [cs.NE]Is perturbation an effective restart strategy?
    Aldeida Aleti, Mark Wallace, Markus Wagner
    http://arxiv.org/abs/1912.02535v1

    • [cs.NE]Scratch that! An Evolution-based Adversarial Attack against Neural Networks
    Malhar Jere, Briland Hitaj, Gabriela Ciocarlie, Farinaz Koushanfar
    http://arxiv.org/abs/1912.02316v1

    • [cs.NI]5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges
    Alcardo Alex Barakabitze, Arslan Ahmad, Rashid Mijumbi, Andrew Hines
    http://arxiv.org/abs/1912.02802v1

    • [cs.NI]Reinforcement learning for bandwidth estimation and congestion control in real-time communications
    Joyce Fang, Martin Ellis, Bin Li, Siyao Liu, Yasaman Hosseinkashi, Michael Revow, Albert Sadovnikov, Ziyuan Liu, Peng Cheng, Sachin Ashok, David Zhao, Ross Cutler, Yan Lu, Johannes Gehrke
    http://arxiv.org/abs/1912.02222v1

    • [cs.PL]Perfectly Parallel Fairness Certification of Neural Networks
    Caterina Urban, Maria Christakis, Valentin Wüstholz, Fuyuan Zhang
    http://arxiv.org/abs/1912.02499v1

    • [cs.RO]Learning from Interventions using Hierarchical Policies for Safe Learning
    Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu
    http://arxiv.org/abs/1912.02241v1

    • [cs.RO]Reorienting Objects in 3D Space Using Pivoting
    Yifan Hou, Zhenzhong Jia, Matthew T. Mason
    http://arxiv.org/abs/1912.02752v1

    • [cs.RO]Robotic Surveillance Based on the Meeting Time of Random Walks
    Xiaoming Duan, Mishel George, Rushabh Patel, Francesco Bullo
    http://arxiv.org/abs/1912.02693v1

    • [cs.RO]VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite
    Florian Tschopp, Michael Riner, Marius Fehr, Lukas Bernreiter, Fadri Furrer, Tonci Novkovic, Andreas Pfrunder, Cesar Cadena, Roland Siegwart, Juan Nieto
    http://arxiv.org/abs/1912.02469v1

    • [cs.SD]Towards Robust Neural Vocoding for Speech Generation: A Survey
    Po-chun Hsu, Chun-hsuan Wang, Andy T. Liu, Hung-yi Lee
    http://arxiv.org/abs/1912.02461v1

    • [cs.SD]VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge
    Joon Son Chung, Arsha Nagrani, Ernesto Coto, Weidi Xie, Mitchell McLaren, Douglas A Reynolds, Andrew Zisserman
    http://arxiv.org/abs/1912.02522v1

    • [cs.SI]EviDense: a Graph-based Method for Finding Unique High-impact Events with Succinct Keyword-based Descriptions
    Oana Balalau, Carlos Castillo, Mauro Sozio
    http://arxiv.org/abs/1912.02484v1

    • [econ.GN]Modeling and Prediction of Iran’s Steel Consumption Based on Economic Activity Using Support Vector Machines
    Hossein Kamalzadeh, Saeid Nassim Sobhan, Azam Boskabadi, Mohsen Hatami, Amin Gharehyakheh
    http://arxiv.org/abs/1912.02373v1

    • [eess.AS]Audio-Visual Target Speaker Extraction on Multi-Talker Environment using Event-Driven Cameras
    Ander Arriandiaga, Giovanni Morrone, Luca Pasa, Leonardo Badino, Chiara Bartolozzi
    http://arxiv.org/abs/1912.02671v1

    • [eess.IV]Learning to synthesise the ageing brain without longitudinal data
    Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris
    http://arxiv.org/abs/1912.02620v1

    • [eess.SP]HodgeNet: Graph Neural Networks for Edge Data
    T. Mitchell Roddenberry, Santiago Segarra
    http://arxiv.org/abs/1912.02354v1

    • [eess.SY]Architecting Safety Supervisors for High Levels of Automated Driving
    Martin Törngren, Xinhai Zhang, Naveen Mohan, Matthias Becker, Lars Svensson, Xin Tao, De-Jiu Chen, Jonas Westman
    http://arxiv.org/abs/1912.02796v1

    • [eess.SY]Data-driven sensor scheduling for remote estimation in wireless networks
    Marcos M. Vasconcelos, Urbashi Mitra
    http://arxiv.org/abs/1912.02411v1

    • [math.AG]Gaussian graphical models with toric vanishing ideals
    Pratik Misra, Seth Sullivant
    http://arxiv.org/abs/1912.02265v1

    • [math.CO]Construction of $s$-extremal optimal unimodular lattices in dimension 52
    Masaaki Harada
    http://arxiv.org/abs/1912.02358v1

    • [math.OC]A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms
    Donghwan Lee, Niao He
    http://arxiv.org/abs/1912.02270v1

    • [math.OC]Lower Bounds for Non-Convex Stochastic Optimization
    Yossi Arjevani, Yair Carmon, John C. Duchi, Dylan J. Foster, Nathan Srebro, Blake Woodworth
    http://arxiv.org/abs/1912.02365v1

    • [math.ST]Inference for Two Lomax Populations Under Joint Type-II Censoring
    Yasin Asar, R. Arabi Belaghi
    http://arxiv.org/abs/1912.02517v1

    • [math.ST]KoPA: Automated Kronecker Product Approximation
    Chencheng Cai, Rong Chen, Han Xiao
    http://arxiv.org/abs/1912.02392v1

    • [nlin.AO]Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links
    Amitava Banerjee, Jaideep Pathak, Rajarshi Roy, Juan G. Restrepo, Edward Ott
    http://arxiv.org/abs/1912.02721v1

    • [q-bio.NC]Phase/amplitude synchronization of brain signals during motor imagery BCI tasks
    Tiziana Cattai, Stefania Colonnese, Marie-Constance Corsi, Danielle S. Bassett, Gaetano Scarano, Fabrizio De Vico Fallani
    http://arxiv.org/abs/1912.02745v1

    • [stat.AP]Bayesian Functional Mixed-Effects Model with Gaussian Process Responses for Wavelet Spectra of Spatiotemporal Colonic Manometry Signals
    Lukasz Wiklendt, Marcello Costa, Simon Brookes, Phil G. Dinning
    http://arxiv.org/abs/1912.02389v1

    • [stat.AP]Collective dynamics of pedestrians in a non-panic evacuation scenario
    Juan Cruz Moreno, M. Leticia Rubio Puzzo, Wolfgang Paul
    http://arxiv.org/abs/1912.02232v1

    • [stat.AP]Generative Synthesis of Insurance Datasets
    Kevin Kuo
    http://arxiv.org/abs/1912.02423v1

    • [stat.AP]The Autoregressive Structural Model for analyzing longitudinal health data of an aging population in China
    Yazhuo Deng, David R. Paul, Audrey Q. Fu
    http://arxiv.org/abs/1912.02359v1

    • [stat.ME]Advanced analysis of temporal data using Fisher-Shannon information: theoretical development and application in geosciences
    Fabian Guignard, Mohamed Laib, Federico Amato, Mikhail Kanevski
    http://arxiv.org/abs/1912.02452v1

    • [stat.ME]Another look at the Lady Tasting Tea and permutation-based randomization tests
    Jesse Hemerik, Jelle J. Goeman
    http://arxiv.org/abs/1912.02633v1

    • [stat.ME]Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
    Giorgio Paulon, Fernando Llanos, Bharath Chandrasekaran, Abhra Sarkar
    http://arxiv.org/abs/1912.02774v1

    • [stat.ME]Outlier detection and a tail-adjusted boxplot based on extreme value theory
    Shrijita Bhattacharya, Jan Beirlant
    http://arxiv.org/abs/1912.02595v1

    • [stat.ME]Sensitivity Analysis via the Proportion of Unmeasured Confounding
    Matteo Bonvini, Edward H Kennedy
    http://arxiv.org/abs/1912.02793v1

    • [stat.ML]A sparse negative binomial mixture model for clustering RNA-seq count data
    Tanbin Rahman, Yujia Li, Tianzhou Ma, Lu Tang, George Tseng
    http://arxiv.org/abs/1912.02399v1

    • [stat.ML]AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
    Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan
    http://arxiv.org/abs/1912.02781v1

    • [stat.ML]Causal structure based root cause analysis of outliers
    Dominik Janzing, Kailash Budhathoki, Lenon Minorics, Patrick Blöbaum
    http://arxiv.org/abs/1912.02724v1

    • [stat.ML]Deep Ensembles: A Loss Landscape Perspective
    Stanislav Fort, Huiyi Hu, Balaji Lakshminarayanan
    http://arxiv.org/abs/1912.02757v1

    • [stat.ML]Indian Buffet Neural Networks for Continual Learning
    Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen Roberts
    http://arxiv.org/abs/1912.02290v1

    • [stat.ML]Label-Consistent Backdoor Attacks
    Alexander Turner, Dimitris Tsipras, Aleksander Madry
    http://arxiv.org/abs/1912.02771v1

    • [stat.ML]MetaFun: Meta-Learning with Iterative Functional Updates
    Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh
    http://arxiv.org/abs/1912.02738v1

    • [stat.ML]Neural Tangents: Fast and Easy Infinite Neural Networks in Python
    Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz
    http://arxiv.org/abs/1912.02803v1

    • [stat.ML]Normalizing Flows for Probabilistic Modeling and Inference
    George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan
    http://arxiv.org/abs/1912.02762v1

    • [stat.ML]Ordinal Bayesian Optimisation
    Victor Picheny, Sattar Vakili, Artem Artemev
    http://arxiv.org/abs/1912.02493v1

    • [stat.ML]Representing Closed Transformation Paths in Encoded Network Latent Space
    Marissa Connor, Christopher Rozell
    http://arxiv.org/abs/1912.02644v1

    • [stat.ML]Warped Input Gaussian Processes for Time Series Forecasting
    David Tolpin
    http://arxiv.org/abs/1912.02527v1