astro-ph.SR - 太阳和天体物理学恒星

    cs.AI - 人工智能 cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.PL - 编程语言 cs.RO - 机器人学 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.OC - 优化与控制 physics.chem-ph -化学物理 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.SR]Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field
    • [cs.AI]A Cooperative Coordination Solver for Travelling Thief Problems
    • [cs.AI]A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness
    • [cs.AI]A different take on the best-first game tree pruning algorithms
    • [cs.AI]AI Ethics for Systemic Issues: A Structural Approach
    • [cs.AI]Hierarchical Finite State Controllers for Generalized Planning
    • [cs.CG]Persistent Homology as Stopping-Criterion for Natural Neighbor Interpolation
    • [cs.CL]A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models
    • [cs.CL]Ask to Learn: A Study on Curiosity-driven Question Generation
    • [cs.CL]Char-RNN and Active Learning for Hashtag Segmentation
    • [cs.CL]Comparison of Machine Learning Based Methods Used in Bengali Question Classification
    • [cs.CL]Composing and Embedding the Words-as-Classifiers Model of Grounded Semantics
    • [cs.CL]Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering
    • [cs.CL]Crowdsourcing a High-Quality Gold Standard for QA-SRL
    • [cs.CL]Domain Robustness in Neural Machine Translation
    • [cs.CL]ERASER: A Benchmark to Evaluate Rationalized NLP Models
    • [cs.CL]Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates
    • [cs.CL]How Language-Neutral is Multilingual BERT?
    • [cs.CL]How to Do Simultaneous Translation Better with Consecutive Neural Machine Translation?
    • [cs.CL]Interactive Refinement of Cross-Lingual Word Embeddings
    • [cs.CL]Investigation of Error Simulation Techniques for Learning Dialog Policies for Conversational Error Recovery
    • [cs.CL]Low-Level Linguistic Controls for Style Transfer and Content Preservation
    • [cs.CL]Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages
    • [cs.CL]Negated LAMA: Birds cannot fly
    • [cs.CL]Neural Graph Embedding methods for Natural Language Processing
    • [cs.CL]Not Enough Data? Deep Learning to the Rescue!
    • [cs.CL]Open Domain Web Keyphrase Extraction Beyond Language Modeling
    • [cs.CL]Porous Lattice-based Transformer Encoder for Chinese NER
    • [cs.CL]Pretrained Language Models for Document-Level Neural Machine Translation
    • [cs.CL]Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce
    • [cs.CL]Question Generation from Paragraphs: A Tale of Two Hierarchical Models
    • [cs.CL]Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
    • [cs.CL]Relation Adversarial Network for Low Resource KnowledgeGraph Completion
    • [cs.CL]Resurrecting Submodularity in Neural Abstractive Summarization
    • [cs.CL]SEPT: Improving Scientific Named Entity Recognition with Span Representation
    • [cs.CL]SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
    • [cs.CL]Should All Cross-Lingual Embeddings Speak English?
    • [cs.CL]The TechQA Dataset
    • [cs.CL]Transforming Wikipedia into Augmented Data for Query-Focused Summarization
    • [cs.CL]Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator
    • [cs.CL]What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning
    • [cs.CL]Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization
    • [cs.CL]iSarcasm: A Dataset of Intended Sarcasm
    • [cs.CR]Blockchain for Future Smart Grid: A Comprehensive Survey
    • [cs.CR]Revocable Federated Learning: A Benchmark of Federated Forest
    • [cs.CV]A Novel Approach for Partial Fingerprint Identification to Mitigate MasterPrint Generation
    • [cs.CV]Are we asking the right questions in MovieQA?
    • [cs.CV]Argoverse: 3D Tracking and Forecasting with Rich Maps
    • [cs.CV]Automatic Identification of Traditional Colombian Music Genres based on Audio Content Analysis and Machine Learning Technique
    • [cs.CV]Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding
    • [cs.CV]Content-Consistent Generation of Realistic Eyes with Style
    • [cs.CV]Deep, robust and single shot 3D multi-person human pose estimation in complex images
    • [cs.CV]Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition
    • [cs.CV]Dynamic Multi-Task Learning for Face Recognition with Facial Expression
    • [cs.CV]Extracting temporal features into a spatial domain using autoencoders for sperm video analysis
    • [cs.CV]Model Adaption Object Detection System for Robot
    • [cs.CV]Quality Aware Generative Adversarial Networks
    • [cs.CV]RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
    • [cs.CY]Fair Allocation through Selective Information Acquisition
    • [cs.DB]PnyxDB: a Lightweight Leaderless Democratic Byzantine Fault Tolerant Replicated Datastore
    • [cs.DC]A Survey on Edge Computing Systems and Tools
    • [cs.DC]CFS: A Distributed File System for Large Scale Container Platforms
    • [cs.DC]Lock-Free Hopscotch Hashing
    • [cs.DC]MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent
    • [cs.DC]Quality of Service (QoS) Modelling in Federated Cloud Computing
    • [cs.DL]Perspectives on urban theories
    • [cs.DS]Distributed MST: A Smoothed Analysis
    • [cs.DS]Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds
    • [cs.DS]Local Search for Group Closeness Maximization on Big Graphs
    • [cs.GT]Neural Networks for Predicting Human Interactions in Repeated Games
    • [cs.IR]CROWN: Conversational Passage Ranking by Reasoning over Word Networks
    • [cs.IR]Cross-Lingual Relevance Transfer for Document Retrieval
    • [cs.IT]A Gated Hypernet Decoder for Polar Codes
    • [cs.IT]CPM Training Waveforms With Autocorrelation Sidelobes Close To Zero
    • [cs.IT]Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications
    • [cs.IT]Constacyclic codes of length $4p^s$ over the Galois ring $GR(p^a,m)$
    • [cs.IT]Deriving pairwise transfer entropy from network structure and motifs
    • [cs.IT]Error Correction for Partially Stuck Memory Cells
    • [cs.IT]Learning Connectivity and Higher-order Interactions in Radial Distribution Grids
    • [cs.IT]Low Latency Decoder for Short Blocklength Polar Codes
    • [cs.IT]Maximum Likelihood Decoding of Convolutionally Coded Noncoherent ASK Signals in AWGN Channels
    • [cs.IT]Optimal Z-complementary Code Set From Generalized Reed-Muller Codes
    • [cs.IT]Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
    • [cs.LG]$H_\inf$ Model-free Reinforcement Learning with Robust Stability Guarantee
    • [cs.LG]Adaptive Kernel Value Caching for SVM Training
    • [cs.LG]Advances in Machine Learning for the Behavioral Sciences
    • [cs.LG]An Experimental Comparison of Old and New Decision Tree Algorithms
    • [cs.LG]AutoIDS: Auto-encoder Based Method for Intrusion Detection System
    • [cs.LG]Certified Data Removal from Machine Learning Models
    • [cs.LG]Collapse Resistant Deep Convolutional GAN for Multi-Object Image Generation
    • [cs.LG]Composition-based Multi-Relational Graph Convolutional Networks
    • [cs.LG]Data Generation for Neural Programming by Example
    • [cs.LG]Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network
    • [cs.LG]Deep geometric knowledge distillation with graphs
    • [cs.LG]Discovering Invariances in Healthcare Neural Networks
    • [cs.LG]Electric Analog Circuit Design with Hypernetworks and a Differential Simulator
    • [cs.LG]FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things
    • [cs.LG]Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning
    • [cs.LG]Inference with Deep Generative Priors in High Dimensions
    • [cs.LG]Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
    • [cs.LG]Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning
    • [cs.LG]Macro F1 and Macro F1
    • [cs.LG]Memory Augmented Recursive Neural Networks
    • [cs.LG]Penalty Method for Inversion-Free Deep Bilevel Optimization
    • [cs.LG]Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent
    • [cs.LG]Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study
    • [cs.LG]SENSE: Semantically Enhanced Node Sequence Embedding
    • [cs.LG]Sequence-Aware Factorization Machines for Temporal Predictive Analytics
    • [cs.LG]Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning
    • [cs.LG]Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions
    • [cs.LG]Unified Sample-Optimal Property Estimation in Near-Linear Time
    • [cs.NE]A New Interactive Mathematical Modeling — Artificial Neural Network Method for the Problems with a Limited Learning Data Set
    • [cs.NE]A Numerical Study of the Time of Extinction in a Class of Systems of Spiking Neurons
    • [cs.NE]Feature discriminativity estimation in CNNs for transfer learning
    • [cs.NE]Towards Monitoring Parkinson’s Disease Following Drug Treatment: CGP Classification of rs-MRI Data
    • [cs.NI]Energy and Social Cost Minimization for Data Dissemination in Wireless Networks: Centralized and Decentralized Approaches
    • [cs.PF]The Pitfall of Evaluating Performance on Emerging AI Accelerators
    • [cs.PL]ROSY: An elegant language to teach the pure reactive nature of robot programming
    • [cs.RO]Accurate Vision-based Manipulation through Contact Reasoning
    • [cs.RO]Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance
    • [cs.RO]Building an Aerial-Ground Robotics System for Precision Farming
    • [cs.RO]Haptic Teleoperation of UAVs through Control Barrier Functions
    • [cs.RO]LiDAR Enhanced Structure-from-Motion
    • [cs.RO]Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans
    • [cs.RO]Time-Dependent Hybrid-State A* and Optimal Control for Autonomous Vehicles in Arbitrary and Dynamic Environment
    • [cs.SI]Characterizing behavioral trends in a community driven discussion platform
    • [cs.SI]Mining Bursting Communities in Temporal Graphs
    • [cs.SI]Online Learning and Optimization Under a New Linear-Threshold Model with Negative Influence
    • [eess.AS]Adversarial Attacks on GMM i-vector based Speaker Verification Systems
    • [eess.IV]Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image
    • [eess.IV]Stacked dense optical flows and dropout layers to predict sperm motility and morphology
    • [eess.SP]A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables
    • [eess.SP]AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application
    • [eess.SY]Beacon-referenced Pursuit for Collective Motions in Three Dimensions
    • [eess.SY]Non-parametric Probabilistic Load Flow using Gaussian Process Learning
    • [eess.SY]Online Gaussian Process learning-based Model Predictive Control with Stability Guarantees
    • [eess.SY]Statistical Learning for Analysis of Networked Control Systems over Unknown Channels
    • [math.CO]Combining subspace codes
    • [math.OC]High-dimensional Black-box Optimization Under Uncertainty
    • [math.OC]Learning-Accelerated ADMM for Distributed Optimal Power Flow
    • [physics.chem-ph]Machine learning for molecular simulation
    • [physics.comp-ph]Digital Blood in Massively Parallel CPU/GPU Systems for the Study of Platelet Transport
    • [physics.med-ph]Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
    • [physics.med-ph]Uncertainty propagation in phaseless electric properties tomography
    • [physics.soc-ph]Probing the robustness of nested multi-layer networks
    • [q-bio.QM]AITom: Open-source AI platform for cryo-electron Tomography data analysis
    • [quant-ph]Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination
    • [quant-ph]Towards local testability for quantum coding
    • [stat.AP]Assessing soundscape disturbance through hierarchical models and acoustic indices: a case study on a shelterwood logged northern Michigan forest
    • [stat.AP]Convex Hierarchical Clustering for Graph-Structured Data
    • [stat.AP]Dynamic Connectivity without Sliding Windows
    • [stat.AP]Hierarchical Clustering for Smart Meter Electricity Loads based on Quantile Autocovariances
    • [stat.AP]Hierarchical network design for nitrogen dioxide measurement in urban environments, part 1: proxy selection
    • [stat.AP]Hierarchical network design for nitrogen dioxide measurement in urban environments, part 2: network-based sensor calibration
    • [stat.AP]Low-cost sensor networks and land-use regression: interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California
    • [stat.AP]Modeling Material Stress Using Integrated Gaussian Markov Random Fields
    • [stat.AP]Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results
    • [stat.CO]Normal variance mixtures: Distribution, density and parameter estimation
    • [stat.ME]A multiple testing framework for diagnostic accuracy studies with co-primary endpoints
    • [stat.ME]Balancing covariates in randomized experiments using the Gram-Schmidt walk
    • [stat.ME]Data transforming augmentation for heteroscedastic models
    • [stat.ME]Estimation of Spatial Deformation for Nonstationary Processes via Variogram Alignment
    • [stat.ME]Improving Power of 2-Sample Random Graph Tests with Applications in Connectomics
    • [stat.ME]Scalable Algorithms for Large Competing Risks Data
    • [stat.ML]A Binary Regression Adaptive Goodness-of-fit Test (BAGofT)
    • [stat.ML]Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization
    • [stat.ML]Confidence Intervals for Policy Evaluation in Adaptive Experiments
    • [stat.ML]Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings
    • [stat.ML]Ground Metric Learning on Graphs
    • [stat.ML]Imperceptible Adversarial Attacks on Tabular Data
    • [stat.ML]Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers
    • [stat.ML]Subspace Clustering with Active Learning
    • [stat.ML]Theoretical Guarantees for Model Auditing with Finite Adversaries
    • [stat.ML]Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

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

    • [astro-ph.SR]Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field
    Eurico Covas
    http://arxiv.org/abs/1911.03193v1

    • [cs.AI]A Cooperative Coordination Solver for Travelling Thief Problems
    Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar
    http://arxiv.org/abs/1911.03124v1

    • [cs.AI]A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness
    Mohammad Yaghini, Hoda Heidari, Andreas Krause
    http://arxiv.org/abs/1911.03020v1

    • [cs.AI]A different take on the best-first game tree pruning algorithms
    Ishan Srivastava
    http://arxiv.org/abs/1911.03388v1

    • [cs.AI]AI Ethics for Systemic Issues: A Structural Approach
    Agnes Schim van der Loeff, Iggy Bassi, Sachin Kapila, Jevgenij Gamper
    http://arxiv.org/abs/1911.03216v1

    • [cs.AI]Hierarchical Finite State Controllers for Generalized Planning
    Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
    http://arxiv.org/abs/1911.02887v1

    • [cs.CG]Persistent Homology as Stopping-Criterion for Natural Neighbor Interpolation
    Luciano Melodia, Richard Lenz
    http://arxiv.org/abs/1911.02922v1

    • [cs.CL]A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models
    Chris Kedzie, Kathleen McKeown
    http://arxiv.org/abs/1911.03373v1

    • [cs.CL]Ask to Learn: A Study on Curiosity-driven Question Generation
    Thomas Scialom, Jacopo Staiano
    http://arxiv.org/abs/1911.03350v1

    • [cs.CL]Char-RNN and Active Learning for Hashtag Segmentation
    Taisiya Glushkova, Ekaterina Artemova
    http://arxiv.org/abs/1911.03270v1

    • [cs.CL]Comparison of Machine Learning Based Methods Used in Bengali Question Classification
    Afra Anika, Md. Hasibur Rahman, Dr. Salekul Islam, Abu Shafin Mohammad Mahdee Jameel, Chowdhury Rafeed Rahman
    http://arxiv.org/abs/1911.03059v1

    • [cs.CL]Composing and Embedding the Words-as-Classifiers Model of Grounded Semantics
    Daniele Moro, Stacy Black, Casey Kennington
    http://arxiv.org/abs/1911.03283v1

    • [cs.CL]Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering
    Jinhyuk Lee, Minjoon Seo, Hannaneh Hajishirzi, Jaewoo Kang
    http://arxiv.org/abs/1911.02896v1

    • [cs.CL]Crowdsourcing a High-Quality Gold Standard for QA-SRL
    Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
    http://arxiv.org/abs/1911.03243v1

    • [cs.CL]Domain Robustness in Neural Machine Translation
    Mathias Müller, Annette Rios, Rico Sennrich
    http://arxiv.org/abs/1911.03109v1

    • [cs.CL]ERASER: A Benchmark to Evaluate Rationalized NLP Models
    Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace
    http://arxiv.org/abs/1911.03429v1

    • [cs.CL]Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates
    Javier Iranzo-Sánchez, Joan Albert Silvestre-Cerdà, Javier Jorge, Nahuel Roselló, Adrià Giménez, Albert Sanchis, Jorge Civera, Alfons Juan
    http://arxiv.org/abs/1911.03167v1

    • [cs.CL]How Language-Neutral is Multilingual BERT?
    Jindřich Libovický, Rudolf Rosa, Alexander Fraser
    http://arxiv.org/abs/1911.03310v1

    • [cs.CL]How to Do Simultaneous Translation Better with Consecutive Neural Machine Translation?
    Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, Qun Liu
    http://arxiv.org/abs/1911.03154v1

    • [cs.CL]Interactive Refinement of Cross-Lingual Word Embeddings
    Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan Boyd-Graber
    http://arxiv.org/abs/1911.03070v1

    • [cs.CL]Investigation of Error Simulation Techniques for Learning Dialog Policies for Conversational Error Recovery
    Maryam Fazel-Zarandi, Longshaokan Wang, Aditya Tiwari, Spyros Matsoukas
    http://arxiv.org/abs/1911.03378v1

    • [cs.CL]Low-Level Linguistic Controls for Style Transfer and Content Preservation
    Katy Gero, Chris Kedzie, Jonathan Reeve, Lydia Chilton
    http://arxiv.org/abs/1911.03385v1

    • [cs.CL]Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages
    Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber
    http://arxiv.org/abs/1911.03329v1

    • [cs.CL]Negated LAMA: Birds cannot fly
    Nora Kassner, Hinrich Schütze
    http://arxiv.org/abs/1911.03343v1

    • [cs.CL]Neural Graph Embedding methods for Natural Language Processing
    Shikhar Vashishth
    http://arxiv.org/abs/1911.03042v1

    • [cs.CL]Not Enough Data? Deep Learning to the Rescue!
    Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling
    http://arxiv.org/abs/1911.03118v1

    • [cs.CL]Open Domain Web Keyphrase Extraction Beyond Language Modeling
    Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk
    http://arxiv.org/abs/1911.02671v1

    • [cs.CL]Porous Lattice-based Transformer Encoder for Chinese NER
    Xue Mengge, Yu Bowen, Liu Tingwen, Wang Bin, Meng Erli, Li Quangang
    http://arxiv.org/abs/1911.02733v1

    • [cs.CL]Pretrained Language Models for Document-Level Neural Machine Translation
    Liangyou Li, Xin Jiang, Qun Liu
    http://arxiv.org/abs/1911.03110v1

    • [cs.CL]Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce
    Zhenxin Fu, Feng Ji, Wenpeng Hu, Wei Zhou, Dongyan Zhao, Haiqing Chen, Rui Yan
    http://arxiv.org/abs/1911.02747v1

    • [cs.CL]Question Generation from Paragraphs: A Tale of Two Hierarchical Models
    Vishwajeet Kumar, Raktim Chaki, Sai Teja Talluri, Ganesh Ramakrishnan, Yuan-Fang Li, Gholamreza Haffari
    http://arxiv.org/abs/1911.03407v1

    • [cs.CL]Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
    Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
    http://arxiv.org/abs/1911.03064v1

    • [cs.CL]Relation Adversarial Network for Low Resource KnowledgeGraph Completion
    Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoayan Chen, Wei Zhang, Huajun Chen
    http://arxiv.org/abs/1911.03091v1

    • [cs.CL]Resurrecting Submodularity in Neural Abstractive Summarization
    Simeng Han, Xiang Lin, Shafiq Joty
    http://arxiv.org/abs/1911.03014v1

    • [cs.CL]SEPT: Improving Scientific Named Entity Recognition with Span Representation
    Tan Yan, Heyan Huang, Xian-Ling Mao
    http://arxiv.org/abs/1911.03353v1

    • [cs.CL]SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
    Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
    http://arxiv.org/abs/1911.03437v1

    • [cs.CL]Should All Cross-Lingual Embeddings Speak English?
    Antonios Anastasopoulos, Graham Neubig
    http://arxiv.org/abs/1911.03058v1

    • [cs.CL]The TechQA Dataset
    Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, Scott McCarley, Mike McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avirup Sil, Rosario Uceda-Sosa, Todd Ward, Rong Zhang
    http://arxiv.org/abs/1911.02984v1

    • [cs.CL]Transforming Wikipedia into Augmented Data for Query-Focused Summarization
    Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu
    http://arxiv.org/abs/1911.03324v1

    • [cs.CL]Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator
    Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan
    http://arxiv.org/abs/1911.03047v1

    • [cs.CL]What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning
    Jaejun Lee, Raphael Tang, Jimmy Lin
    http://arxiv.org/abs/1911.03090v1

    • [cs.CL]Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization
    Hongfei Xu, Qiuhui Liu, Josef van Genabith, Jingyi Zhang
    http://arxiv.org/abs/1911.03179v1

    • [cs.CL]iSarcasm: A Dataset of Intended Sarcasm
    Silviu Oprea, Walid Magdy
    http://arxiv.org/abs/1911.03123v1

    • [cs.CR]Blockchain for Future Smart Grid: A Comprehensive Survey
    Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato, Kwok-Yan Lam, Xin Zhang, Amer M. Y. M. Ghias, Leong Hai Koh, Lei Yang
    http://arxiv.org/abs/1911.03298v1

    • [cs.CR]Revocable Federated Learning: A Benchmark of Federated Forest
    Yang Liu, Zhuo Ma, Ximeng Liu, Zhuzhu Wang, Siqi Ma, Ken Ren
    http://arxiv.org/abs/1911.03242v1

    • [cs.CV]A Novel Approach for Partial Fingerprint Identification to Mitigate MasterPrint Generation
    Mahesh Joshi, Bodhisatwa Mazumdar, Somnath Dey
    http://arxiv.org/abs/1911.03052v1

    • [cs.CV]Are we asking the right questions in MovieQA?
    Bhavan Jasani, Rohit Girdhar, Deva Ramanan
    http://arxiv.org/abs/1911.03083v1

    • [cs.CV]Argoverse: 3D Tracking and Forecasting with Rich Maps
    Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays
    http://arxiv.org/abs/1911.02620v1

    • [cs.CV]Automatic Identification of Traditional Colombian Music Genres based on Audio Content Analysis and Machine Learning Technique
    Diego A. Cruz, Sergio S. Lopez, Jorge E. Camargo
    http://arxiv.org/abs/1911.03372v1

    • [cs.CV]Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding
    Yilei Shi, Qingyu Li, Xiao Xiang Zhu
    http://arxiv.org/abs/1911.03165v1

    • [cs.CV]Content-Consistent Generation of Realistic Eyes with Style
    Marcel Bühler, Seonwook Park, Shalini De Mello, Xucong Zhang, Otmar Hilliges
    http://arxiv.org/abs/1911.03346v1

    • [cs.CV]Deep, robust and single shot 3D multi-person human pose estimation in complex images
    Abdallah Benzine, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard
    http://arxiv.org/abs/1911.03391v1

    • [cs.CV]Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition
    Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman
    http://arxiv.org/abs/1911.03341v1

    • [cs.CV]Dynamic Multi-Task Learning for Face Recognition with Facial Expression
    Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman, Jean-Christophe Burie, Kaixing Zhao
    http://arxiv.org/abs/1911.03281v1

    • [cs.CV]Extracting temporal features into a spatial domain using autoencoders for sperm video analysis
    Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen
    http://arxiv.org/abs/1911.03100v1

    • [cs.CV]Model Adaption Object Detection System for Robot
    Jingwen Fu, Licheng Zong, Yinbing Li, Bingqian Yang, Ke Li, Xibei Liu
    http://arxiv.org/abs/1911.02718v1

    • [cs.CV]Quality Aware Generative Adversarial Networks
    Parimala Kancharla, Sumohana S. Channappayya
    http://arxiv.org/abs/1911.03149v1

    • [cs.CV]RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
    Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas Li, Ge Li
    http://arxiv.org/abs/1911.03029v1

    • [cs.CY]Fair Allocation through Selective Information Acquisition
    William Cai, Johann Gaebler, Nikhil Garg, Sharad Goel
    http://arxiv.org/abs/1911.02715v1

    • [cs.DB]PnyxDB: a Lightweight Leaderless Democratic Byzantine Fault Tolerant Replicated Datastore
    Loïck Bonniot, Christoph Neumann, François Taïani
    http://arxiv.org/abs/1911.03291v1

    • [cs.DC]A Survey on Edge Computing Systems and Tools
    Fang Liu, Guoming Tang, Youhuizi Li, Zhiping Cai, Xingzhou Zhang, Tongqing Zhou
    http://arxiv.org/abs/1911.02794v1

    • [cs.DC]CFS: A Distributed File System for Large Scale Container Platforms
    Haifeng Liu, Wei Ding, Yuan Chen, Weilong Guo, Shuoran Liu, Tianpeng Li, Mofei Zhang, Jianxing Zhao, Hongyin Zhu, Zhengyi Zhu
    http://arxiv.org/abs/1911.03001v1

    • [cs.DC]Lock-Free Hopscotch Hashing
    Robert Kelly, Barak A. Pearlmutter, Phil Maguire
    http://arxiv.org/abs/1911.03028v1

    • [cs.DC]MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent
    Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
    http://arxiv.org/abs/1911.03444v1

    • [cs.DC]Quality of Service (QoS) Modelling in Federated Cloud Computing
    Kun Ma, Antoine Bagula, Olasupo Ajayi
    http://arxiv.org/abs/1911.03051v1

    • [cs.DL]Perspectives on urban theories
    Denise Pumain, Juste Raimbault
    http://arxiv.org/abs/1911.02854v1

    • [cs.DS]Distributed MST: A Smoothed Analysis
    Soumyottam Chatterjee, Gopal Pandurangan, Nguyen Dinh Pham
    http://arxiv.org/abs/1911.02628v1

    • [cs.DS]Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds
    Rong Ge, Holden Lee, Jianfeng Lu
    http://arxiv.org/abs/1911.03043v1

    • [cs.DS]Local Search for Group Closeness Maximization on Big Graphs
    Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke
    http://arxiv.org/abs/1911.03360v1

    • [cs.GT]Neural Networks for Predicting Human Interactions in Repeated Games
    Yoav Kolumbus, Gali Noti
    http://arxiv.org/abs/1911.03233v1

    • [cs.IR]CROWN: Conversational Passage Ranking by Reasoning over Word Networks
    Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
    http://arxiv.org/abs/1911.02850v1

    • [cs.IR]Cross-Lingual Relevance Transfer for Document Retrieval
    Peng Shi, Jimmy Lin
    http://arxiv.org/abs/1911.02989v1

    • [cs.IT]A Gated Hypernet Decoder for Polar Codes
    Eliya Nachmani, Lior Wolf
    http://arxiv.org/abs/1911.03229v1

    • [cs.IT]CPM Training Waveforms With Autocorrelation Sidelobes Close To Zero
    Zilong Liu, Yong Liang Guan, Chee-Cheon Chui
    http://arxiv.org/abs/1911.03312v1

    • [cs.IT]Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications
    Zhaorui Wang, Liang Liu, Shuguang Cui
    http://arxiv.org/abs/1911.03084v1

    • [cs.IT]Constacyclic codes of length $4p^s$ over the Galois ring $GR(p^a,m)$
    Om Prakash, Habibul Islam, Ram Krishna Verma
    http://arxiv.org/abs/1911.03089v1

    • [cs.IT]Deriving pairwise transfer entropy from network structure and motifs
    Leonardo Novelli, Fatihcan M. Atay, Jürgen Jost, Joseph T. Lizier
    http://arxiv.org/abs/1911.02931v1

    • [cs.IT]Error Correction for Partially Stuck Memory Cells
    Haider Al Kim, Sven Puchinger, Antonia Wachter-Zeh
    http://arxiv.org/abs/1911.02904v1

    • [cs.IT]Learning Connectivity and Higher-order Interactions in Radial Distribution Grids
    Qiuling Yang, Mario Coutino, Gang Wang, Georgios B. Giannakis, Geert Leus
    http://arxiv.org/abs/1911.03072v1

    • [cs.IT]Low Latency Decoder for Short Blocklength Polar Codes
    Heshani Gamage, Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho
    http://arxiv.org/abs/1911.03201v1

    • [cs.IT]Maximum Likelihood Decoding of Convolutionally Coded Noncoherent ASK Signals in AWGN Channels
    Arafat Al-Dweik, Fuqin Xiong
    http://arxiv.org/abs/1911.03079v1

    • [cs.IT]Optimal Z-complementary Code Set From Generalized Reed-Muller Codes
    Palash Sarkar, Sudhan Majhi, Zilong Liu
    http://arxiv.org/abs/1911.03313v1

    • [cs.IT]Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
    Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
    http://arxiv.org/abs/1911.03038v1

    • [cs.LG]$H_\inf$ Model-free Reinforcement Learning with Robust Stability Guarantee
    Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan
    http://arxiv.org/abs/1911.02875v1

    • [cs.LG]Adaptive Kernel Value Caching for SVM Training
    Qinbin Li, Zeyi Wen, Bingsheng He
    http://arxiv.org/abs/1911.03011v1

    • [cs.LG]Advances in Machine Learning for the Behavioral Sciences
    Tomáš Kliegr, Štěpán Bahník, Johannes Fürnkranz
    http://arxiv.org/abs/1911.03249v1

    • [cs.LG]An Experimental Comparison of Old and New Decision Tree Algorithms
    Arman Zharmagambetov, Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán
    http://arxiv.org/abs/1911.03054v1

    • [cs.LG]AutoIDS: Auto-encoder Based Method for Intrusion Detection System
    Mohammed Gharib, Bahram Mohammadi, Shadi Hejareh Dastgerdi, Mohammad Sabokrou
    http://arxiv.org/abs/1911.03306v1

    • [cs.LG]Certified Data Removal from Machine Learning Models
    Chuan Guo, Tom Goldstein, Awni Hannun, Laurens van der Maaten
    http://arxiv.org/abs/1911.03030v1

    • [cs.LG]Collapse Resistant Deep Convolutional GAN for Multi-Object Image Generation
    Elijah D. Bolluyt, Cristina Comaniciu
    http://arxiv.org/abs/1911.02996v1

    • [cs.LG]Composition-based Multi-Relational Graph Convolutional Networks
    Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha Talukdar
    http://arxiv.org/abs/1911.03082v1

    • [cs.LG]Data Generation for Neural Programming by Example
    Judith Clymo, Haik Manukian, Nathanaël Fijalkow, Adrià Gascón, Brooks Paige
    http://arxiv.org/abs/1911.02624v1

    • [cs.LG]Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network
    Chao Wang, Yi Hou, Matthew Barth
    http://arxiv.org/abs/1911.03441v1

    • [cs.LG]Deep geometric knowledge distillation with graphs
    Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
    http://arxiv.org/abs/1911.03080v1

    • [cs.LG]Discovering Invariances in Healthcare Neural Networks
    Mohammad Taha Bahadori, Layne C. Price
    http://arxiv.org/abs/1911.03295v1

    • [cs.LG]Electric Analog Circuit Design with Hypernetworks and a Differential Simulator
    Michael Rotman, Lior Wolf
    http://arxiv.org/abs/1911.03053v1

    • [cs.LG]FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things
    Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini
    http://arxiv.org/abs/1911.03314v1

    • [cs.LG]Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning
    Matt Benatan, Edward O. Pyzer-Knapp
    http://arxiv.org/abs/1911.03308v1

    • [cs.LG]Inference with Deep Generative Priors in High Dimensions
    Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
    http://arxiv.org/abs/1911.03409v1

    • [cs.LG]Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
    Shuo Yang, Yanyao Shen, Sujay Sanghavi
    http://arxiv.org/abs/1911.03034v1

    • [cs.LG]Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning
    Nicolas Lair, Cédric Colas, Rémy Portelas, Jean-Michel Dussoux, Peter Ford Dominey, Pierre-Yves Oudeyer
    http://arxiv.org/abs/1911.03219v1

    • [cs.LG]Macro F1 and Macro F1
    Juri Opitz, Sebastian Burst
    http://arxiv.org/abs/1911.03347v1

    • [cs.LG]Memory Augmented Recursive Neural Networks
    Forough Arabshahi, Zhichu Lu, Sameer Singh, Animashree Anandkumar
    http://arxiv.org/abs/1911.01545v2

    • [cs.LG]Penalty Method for Inversion-Free Deep Bilevel Optimization
    Akshay Mehra, Jihun Hamm
    http://arxiv.org/abs/1911.03432v1

    • [cs.LG]Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent
    Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski, Michel Dumontier, Lianne Ippel
    http://arxiv.org/abs/1911.03183v1

    • [cs.LG]Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study
    Mohammad Mahdi Bejani, Mehdi Ghatee
    http://arxiv.org/abs/1911.03010v1

    • [cs.LG]SENSE: Semantically Enhanced Node Sequence Embedding
    Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwon, Graham Bent, Christopher Simpkin
    http://arxiv.org/abs/1911.02970v1

    • [cs.LG]Sequence-Aware Factorization Machines for Temporal Predictive Analytics
    Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou
    http://arxiv.org/abs/1911.02752v1

    • [cs.LG]Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning
    Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie
    http://arxiv.org/abs/1911.03222v1

    • [cs.LG]Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions
    Emily L. Aiken, Andre T. Nguyen, Mauricio Santillana
    http://arxiv.org/abs/1911.02673v1

    • [cs.LG]Unified Sample-Optimal Property Estimation in Near-Linear Time
    Yi Hao, Alon Orlitsky
    http://arxiv.org/abs/1911.03105v1

    • [cs.NE]A New Interactive Mathematical Modeling — Artificial Neural Network Method for the Problems with a Limited Learning Data Set
    Szymon Buchaniec, Marek Gnatowski, Grzegorz Brus
    http://arxiv.org/abs/1911.03404v1

    • [cs.NE]A Numerical Study of the Time of Extinction in a Class of Systems of Spiking Neurons
    Cecilia Romaro, Fernando Araujo Najman, Morgan André
    http://arxiv.org/abs/1911.02609v1

    • [cs.NE]Feature discriminativity estimation in CNNs for transfer learning
    Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla, Jesus Labarta, Eduard Ayguadé
    http://arxiv.org/abs/1911.03332v1

    • [cs.NE]Towards Monitoring Parkinson’s Disease Following Drug Treatment: CGP Classification of rs-MRI Data
    Amir Dehsarvi, Jennifer Kay South Palomares, Stephen Leslie Smith
    http://arxiv.org/abs/1911.03439v1

    • [cs.NI]Energy and Social Cost Minimization for Data Dissemination in Wireless Networks: Centralized and Decentralized Approaches
    Mahdi Mousavi, Anja Klein
    http://arxiv.org/abs/1911.02607v1

    • [cs.PF]The Pitfall of Evaluating Performance on Emerging AI Accelerators
    Zihan Jiang, Jiansong Li, Jiangfeng Zhan
    http://arxiv.org/abs/1911.02987v1

    • [cs.PL]ROSY: An elegant language to teach the pure reactive nature of robot programming
    Hugo Pacheco, Nuno Macedo
    http://arxiv.org/abs/1911.03262v1

    • [cs.RO]Accurate Vision-based Manipulation through Contact Reasoning
    Alina Kloss, Maria Bauza, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg
    http://arxiv.org/abs/1911.03112v1

    • [cs.RO]Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance
    M. Asif Rana, Daphne Chen, S. Reza Ahmadzadeh, Jacob Williams, Vivian Chu, Sonia Chernova
    http://arxiv.org/abs/1911.02725v1

    • [cs.RO]Building an Aerial-Ground Robotics System for Precision Farming
    Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popović, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan Nieto
    http://arxiv.org/abs/1911.03098v1

    • [cs.RO]Haptic Teleoperation of UAVs through Control Barrier Functions
    Dawei Zhang, Guang Yang, Rebecca P. Khurshid
    http://arxiv.org/abs/1911.03418v1

    • [cs.RO]LiDAR Enhanced Structure-from-Motion
    Weikun Zhen, Yaoyu Hu, Huai Yu, Sebastian Scherer
    http://arxiv.org/abs/1911.03369v1

    • [cs.RO]Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans
    Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jagersand
    http://arxiv.org/abs/1911.03074v1

    • [cs.RO]**Time-Dependent Hybrid-State A and Optimal Control for Autonomous Vehicles in Arbitrary and Dynamic Environment
    Andreas Folkers, Matthias Rick, Christof Büskens
    http://arxiv.org/abs/1911.03139v1

    • [cs.SI]Characterizing behavioral trends in a community driven discussion platform
    Sachin Thukral, Arnab Chatterjee, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Lipika Dey
    http://arxiv.org/abs/1911.02771v1

    • [cs.SI]Mining Bursting Communities in Temporal Graphs
    Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Ye Yuan, Zhiwei Zhang
    http://arxiv.org/abs/1911.02780v1

    • [cs.SI]Online Learning and Optimization Under a New Linear-Threshold Model with Negative Influence
    Shuoguang Yang, Shatian Wang, Van-Anh Truong
    http://arxiv.org/abs/1911.03276v1

    • [eess.AS]Adversarial Attacks on GMM i-vector based Speaker Verification Systems
    Xu Li, Jinghua Zhong, Xixin Wu, Jianwei Yu, Xunying Liu, Helen Meng
    http://arxiv.org/abs/1911.03078v1

    • [eess.IV]Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image
    Chi Ding, Zheng Cao, Matthew S. Emigh, Jose C. Principe, Bing Ouyang, Anni Vuorenkoski, Fraser Dalgleish, Brian Ramos, Yanjun Li
    http://arxiv.org/abs/1911.03267v1

    • [eess.IV]Stacked dense optical flows and dropout layers to predict sperm motility and morphology
    Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen
    http://arxiv.org/abs/1911.03086v1

    • [eess.SP]A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables
    Bruno Scalzo Dees, Danilo P. Mandic
    http://arxiv.org/abs/1911.02915v1

    • [eess.SP]AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application
    Attayeb Mohsen, Muftah Al-Mahdawi, Mostafa M. Fouda, Mikihiko Oogane, Yasuo Ando, Zubair Md Fadlullah
    http://arxiv.org/abs/1911.03127v1

    • [eess.SY]Beacon-referenced Pursuit for Collective Motions in Three Dimensions
    Kevin S. Galloway, Biswadip Dey
    http://arxiv.org/abs/1911.02895v1

    • [eess.SY]Non-parametric Probabilistic Load Flow using Gaussian Process Learning
    Parikshit Pareek, Chuan Wang, Hung D. Nguyen
    http://arxiv.org/abs/1911.03093v1

    • [eess.SY]Online Gaussian Process learning-based Model Predictive Control with Stability Guarantees
    Michael Maiworm, Daniel Limon, Rolf Findeisen
    http://arxiv.org/abs/1911.03315v1

    • [eess.SY]Statistical Learning for Analysis of Networked Control Systems over Unknown Channels
    Konstantinos Gatsis, George J. Pappas
    http://arxiv.org/abs/1911.03422v1

    • [math.CO]Combining subspace codes
    Antonio Cossidente, Sascha Kurz, Giuseppe Marino, Francesco Pavese
    http://arxiv.org/abs/1911.03387v1

    • [math.OC]High-dimensional Black-box Optimization Under Uncertainty
    Hadis Anahideh, Jay Rosenberger, Victoria Chen
    http://arxiv.org/abs/1911.02457v2

    • [math.OC]Learning-Accelerated ADMM for Distributed Optimal Power Flow
    Dave Biagioni, Peter Graf, Xiangyu Zhang, Jennifer King
    http://arxiv.org/abs/1911.03019v1

    • [physics.chem-ph]Machine learning for molecular simulation
    Frank Noé, Alexandre Tkatchenko, Klaus-Robert Müller, Cecilia Clementi
    http://arxiv.org/abs/1911.02792v1

    • [physics.comp-ph]Digital Blood in Massively Parallel CPU/GPU Systems for the Study of Platelet Transport
    Christos Kotsalos, Jonas Latt, Joel Beny, Bastien Chopard
    http://arxiv.org/abs/1911.03062v1

    • [physics.med-ph]Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
    Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger
    http://arxiv.org/abs/1911.03022v1

    • [physics.med-ph]Uncertainty propagation in phaseless electric properties tomography
    Alessandro Arduino, Oriano Bottauscio, Mario Chiampi, Luca Zilberti
    http://arxiv.org/abs/1911.02809v1

    • [physics.soc-ph]Probing the robustness of nested multi-layer networks
    Giona Casiraghi, Antonios Garas, Frank Schweitzer
    http://arxiv.org/abs/1911.03277v1

    • [q-bio.QM]AITom: Open-source AI platform for cryo-electron Tomography data analysis
    Xiangrui Zeng, Min Xu
    http://arxiv.org/abs/1911.03044v1

    • [quant-ph]Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination
    Yaroslav Koshka, M. A. Novotny
    http://arxiv.org/abs/1911.03338v1

    • [quant-ph]Towards local testability for quantum coding
    Anthony Leverrier, Vivien Londe, Gilles Zémor
    http://arxiv.org/abs/1911.03069v1

    • [stat.AP]Assessing soundscape disturbance through hierarchical models and acoustic indices: a case study on a shelterwood logged northern Michigan forest
    Jeffrey W. Doser, Andrew O. Finley, Eric P. Kasten, Stuart H. Gage
    http://arxiv.org/abs/1911.03278v1

    • [stat.AP]Convex Hierarchical Clustering for Graph-Structured Data
    Claire Donnat, Susan Holmes
    http://arxiv.org/abs/1911.03417v1

    • [stat.AP]Dynamic Connectivity without Sliding Windows
    Shih-Gu Huang, Moo K. Chung, Ian C. Carroll, H. Hill Goldsmith
    http://arxiv.org/abs/1911.02731v1

    • [stat.AP]Hierarchical Clustering for Smart Meter Electricity Loads based on Quantile Autocovariances
    Andrés M. Alonso, F. Javier Nogales, Carlos Ruiz
    http://arxiv.org/abs/1911.03336v1

    • [stat.AP]Hierarchical network design for nitrogen dioxide measurement in urban environments, part 1: proxy selection
    Lena Weissert, Georgia Miskell, Elaine Miles, Kyle Alberti, Brandon Feenstra, Hamesh Patel, Vasileios Papapostolou, Andrea Polidori, Geoff S Henshaw, Jennifer A Salmond, David E Williams
    http://arxiv.org/abs/1911.03137v1

    • [stat.AP]Hierarchical network design for nitrogen dioxide measurement in urban environments, part 2: network-based sensor calibration
    Lena Weissert, Elaine Miles, Georgia Miskell, Kyle Alberti, Brandon Feenstra, Geoff S Henshaw, Vasileios Papapostolou, Hamesh Patel, Andrea Polidori, Jennifer A Salmond, David E Williams
    http://arxiv.org/abs/1911.03136v1

    • [stat.AP]Low-cost sensor networks and land-use regression: interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California
    Lena Weissert, Kyle Alberti, Elaine Miles, Georgia Miskell, Brandon Feenstra, Geoff S Henshaw, Vasileios Papapostolou, Hamesh Patel, Andrea Polidori, Jennifer A Salmond, David E Williams
    http://arxiv.org/abs/1911.03130v1

    • [stat.AP]Modeling Material Stress Using Integrated Gaussian Markov Random Fields
    Peter W. Marcy, Scott A. Vander Wiel, Curtis B. Storlie, Veronica Livescu, Curt A. Bronkhorst
    http://arxiv.org/abs/1911.02629v1

    • [stat.AP]Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results
    Jordanka Kovaceva, András Bálint, Ron Schindler, Anja Schneider
    http://arxiv.org/abs/1911.02878v1

    • [stat.CO]Normal variance mixtures: Distribution, density and parameter estimation
    Erik Hints, Marius Hofert, Christiane Lemieux
    http://arxiv.org/abs/1911.03017v1

    • [stat.ME]A multiple testing framework for diagnostic accuracy studies with co-primary endpoints
    Max Westphal, Antonia Zapf, Werner Brannath
    http://arxiv.org/abs/1911.02982v1

    • [stat.ME]Balancing covariates in randomized experiments using the Gram-Schmidt walk
    Christopher Harshaw, Fredrik Sävje, Daniel Spielman, Peng Zhang
    http://arxiv.org/abs/1911.03071v1

    • [stat.ME]Data transforming augmentation for heteroscedastic models
    Hyungsuk Tak, Kisung You, Sujit K. Ghosh, Bingyue Su, Joseph Kelly
    http://arxiv.org/abs/1911.02748v1

    • [stat.ME]Estimation of Spatial Deformation for Nonstationary Processes via Variogram Alignment
    Ghulam A. Qadir, Ying Sun, Sebastian Kurtek
    http://arxiv.org/abs/1911.02249v2

    • [stat.ME]Improving Power of 2-Sample Random Graph Tests with Applications in Connectomics
    Bijan Varjavand, Jesus Arroyo, Minh Tang, Carey E. Priebe, Joshua T. Vogelstein
    http://arxiv.org/abs/1911.02741v1

    • [stat.ME]Scalable Algorithms for Large Competing Risks Data
    Eric S. Kawaguchi, Jenny I. Shen, Marc A. Suchard, Gang Li
    http://arxiv.org/abs/1911.02720v1

    • [stat.ML]A Binary Regression Adaptive Goodness-of-fit Test (BAGofT)
    Jiawei Zhang, Jie Ding, Yuhong Yang
    http://arxiv.org/abs/1911.03063v1

    • [stat.ML]Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization
    Zachary del Rosario, Yoolhee Kim, Matthias Rupp, Erin Antono, Julia Ling
    http://arxiv.org/abs/1911.03224v1

    • [stat.ML]Confidence Intervals for Policy Evaluation in Adaptive Experiments
    Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey
    http://arxiv.org/abs/1911.02768v1

    • [stat.ML]Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings
    Zhanhong Jiang, Young M. Lee
    http://arxiv.org/abs/1911.03318v1

    • [stat.ML]Ground Metric Learning on Graphs
    Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré
    http://arxiv.org/abs/1911.03117v1

    • [stat.ML]Imperceptible Adversarial Attacks on Tabular Data
    Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki
    http://arxiv.org/abs/1911.03274v1

    • [stat.ML]Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers
    Joy Bose, Sumanta Mukherjee
    http://arxiv.org/abs/1911.02991v1

    • [stat.ML]Subspace Clustering with Active Learning
    Hankui Peng, Nicos Pavlidis
    http://arxiv.org/abs/1911.03299v1

    • [stat.ML]Theoretical Guarantees for Model Auditing with Finite Adversaries
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    http://arxiv.org/abs/1911.03405v1

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    Yuge Shi, N. Siddharth, Brooks Paige, Philip H. S. Torr
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