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
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• [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