cs.AI - 人工智能

    cs.CE - 计算工程、 金融和科学 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.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 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.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学

    • [cs.AI]Challenges of Human-Aware AI Systems
    • [cs.AI]On the Relation between Weak Completion Semantics and Answer Set Semantics
    • [cs.AI]The NAI Suite — Drafting and Reasoning over Legal Texts
    • [cs.CE]Exploring the fitness landscape of a realistic turbofan rotor blade optimization
    • [cs.CL]A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings
    • [cs.CL]Answering Complex Open-domain Questions Through Iterative Query Generation
    • [cs.CL]BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance
    • [cs.CL]Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge
    • [cs.CL]Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service
    • [cs.CL]Content Enhanced BERT-based Text-to-SQL Generation
    • [cs.CL]Efficiency through Auto-Sizing: Notre Dame NLP’s Submission to the WNGT 2019 Efficiency Task
    • [cs.CL]Evolution of transfer learning in natural language processing
    • [cs.CL]FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
    • [cs.CL]Fine-grained evaluation of German-English Machine Translation based on a Test Suite
    • [cs.CL]Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically-motivated Test Suite
    • [cs.CL]Generating Challenge Datasets for Task-Oriented Conversational Agents through Self-Play
    • [cs.CL]Imperial College London Submission to VATEX Video Captioning Task
    • [cs.CL]Iterative Delexicalization for Improved Spoken Language Understanding
    • [cs.CL]Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding
    • [cs.CL]Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition
    • [cs.CL]Linguistic evaluation of German-English Machine Translation using a Test Suite
    • [cs.CL]MLQA: Evaluating Cross-lingual Extractive Question Answering
    • [cs.CL]Meemi: Finding the Middle Ground in Cross-lingual Word Embeddings
    • [cs.CL]Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models
    • [cs.CL]Unsupervised Question Answering for Fact-Checking
    • [cs.CL]Using Whole Document Context in Neural Machine Translation
    • [cs.CL]Why can’t memory networks read effectively?
    • [cs.CR]Statically Detecting Vulnerabilities by Processing Programming Languages as Natural Languages
    • [cs.CV]A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone
    • [cs.CV]Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3
    • [cs.CV]Attention Network Robustification for Person ReID
    • [cs.CV]Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology
    • [cs.CV]DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images
    • [cs.CV]Design of a Simple Orthogonal Multiwavelet Filter by Matrix Spectral Factorization
    • [cs.CV]Generative Modeling for Small-Data Object Detection
    • [cs.CV]Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks
    • [cs.CV]LOST: A flexible framework for semi-automatic image annotation
    • [cs.CV]Large-Scale Landslides Detection from Satellite Images with Incomplete Labels
    • [cs.CV]Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
    • [cs.CV]Offline handwritten mathematical symbol recognition utilising deep learning
    • [cs.CV]On adversarial patches: real-world attack on ArcFace-100 face recognition system
    • [cs.CV]Segmentation Criteria in the Problem of Porosity Determination based on CT Scans
    • [cs.CV]Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages
    • [cs.CV]Understanding Misclassifications by Attributes
    • [cs.CY]On Constructing a Knowledge Base of Chinese Criminal Cases
    • [cs.DB]Efficiently Embedding Dynamic Knowledge Graphs
    • [cs.DB]Similarity Driven Approximation for Text Analytics
    • [cs.DC]A High-Throughput Solver for Marginalized Graph Kernels on GPU
    • [cs.DC]A new CP-approach for a parallel machine scheduling problem with time constraints on machine qualifications
    • [cs.DC]Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing
    • [cs.DC]Consentio: Managing Consent to Data Access using Permissioned Blockchains
    • [cs.DC]GraVF-M: Graph Processing System Generation for Multi-FPGA Platforms
    • [cs.DC]Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks
    • [cs.DC]In Search of a Fast and Efficient Serverless DAG Engine
    • [cs.DC]JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training
    • [cs.DC]SCALPEL3: a scalable open-source library for healthcare claims databases
    • [cs.GR]Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis
    • [cs.HC]Designing Style Matching Conversational Agents
    • [cs.HC]Gaze Gestures and Their Applications in human-computer interaction with a head-mounted display
    • [cs.HC]Using learning analytics to provide personalized recommendations for finding peers
    • [cs.IR]NLPExplorer: Exploring the Universe of NLP Papers
    • [cs.IR]Rule based Approach for Word Normalization by resolving Transcription Ambiguity in Transliterated Search Queries
    • [cs.IR]The Impact of Popularity Bias on Fairness and Calibration in Recommendation
    • [cs.IT]An Overview of Capacity Results for Synchronization Channels
    • [cs.IT]Covariance Matrix Estimation from Correlated Sub-Gaussian Samples
    • [cs.IT]Covert Wireless Communication in Presence of a Multi-Antenna Adversary and Delay Constraints
    • [cs.IT]Long Optimal LRC Codes with Unbounded Localities and Unbounded Minimum Distances
    • [cs.IT]Machine Learning for Error Correction with Natural Redundancy
    • [cs.IT]Universal Bounds for Size and Energy of Codes of Given Minimum and Maximum Distances
    • [cs.LG]A Notion of Harmonic Clustering in Simplicial Complexes
    • [cs.LG]Adaptive Exploration in Linear Contextual Bandit
    • [cs.LG]Adaptive Trade-Offs in Off-Policy Learning
    • [cs.LG]An Exponential Learning Rate Schedule for Deep Learning
    • [cs.LG]Audio-Conditioned U-Net for Position Estimation in Full Sheet Images
    • [cs.LG]Conditional Importance Sampling for Off-Policy Learning
    • [cs.LG]Conditional Invertible Flow for Point Cloud Generation
    • [cs.LG]Conditional Learning of Fair Representations
    • [cs.LG]Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost
    • [cs.LG]Conversion Rate Prediction via Post-Click Behaviour Modeling
    • [cs.LG]Creativity in Robot Manipulation with Deep Reinforcement Learning
    • [cs.LG]Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation
    • [cs.LG]Embodiment dictates learnability in neural controllers
    • [cs.LG]Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms
    • [cs.LG]FISHDBC: Flexible, Incremental, Scalable, Hierarchical Density-Based Clustering for Arbitrary Data and Distance
    • [cs.LG]HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories
    • [cs.LG]Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation
    • [cs.LG]How a minimal learning agent can infer the existence of unobserved variables in a complex environment
    • [cs.LG]MAVEN: Multi-Agent Variational Exploration
    • [cs.LG]MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design
    • [cs.LG]Model-Agnostic Meta-Learning using Runge-Kutta Methods
    • [cs.LG]Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
    • [cs.LG]Multiclass spectral feature scaling method for dimensionality reduction
    • [cs.LG]On Learning Paradigms for the Travelling Salesman Problem
    • [cs.LG]On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
    • [cs.LG]On the Global Optima of Kernelized Adversarial Representation Learning
    • [cs.LG]Optimising Individual-Treatment-Effect Using Bandits
    • [cs.LG]Orthogonal Gradient Descent for Continual Learning
    • [cs.LG]Reduced-Order Modeling of Deep Neural Networks
    • [cs.LG]Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
    • [cs.LG]Root Mean Square Layer Normalization
    • [cs.LG]Rugby-Bot: Utilizing Multi-Task Learning & Fine-Grained Features for Rugby League Analysis
    • [cs.LG]SGD Learns One-Layer Networks in WGANs
    • [cs.LG]Soft Actor-Critic for Discrete Action Settings
    • [cs.LG]Solving Rubik’s Cube with a Robot Hand
    • [cs.LG]Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
    • [cs.LG]Transfer Learning for Algorithm Recommendation
    • [cs.LG]Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs
    • [cs.MM]A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music
    • [cs.NE]AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation
    • [cs.NE]Negatively Correlated Search as a Parallel Exploration Search Strategy
    • [cs.NE]On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor
    • [cs.NE]Structural Analysis of Sparse Neural Networks
    • [cs.NE]The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
    • [cs.NI]Sub-Channel Allocation for Device-to-Device Underlaying Full-Duplex mmWave Small Cells using Coalition Formation Games
    • [cs.RO]Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making
    • [cs.RO]Explainable Semantic Mapping for First Responders
    • [cs.RO]FlowNorm: A Learning-based Method for Increasing Convergence Range of Direct Alignment
    • [cs.RO]Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation
    • [cs.SI]Beyond Fortune 500: Women in a Global Network of Directors
    • [cs.SI]Design method of Temporary Horizontal Visibility Graph for information sources impact network
    • [cs.SI]Eva: Attribute-Aware Network Segmentation
    • [cs.SI]SGP: Spotting Groups Polluting the Online Political Discourse
    • [cs.SI]Tutorial on NLP-Inspired Network Embedding
    • [econ.EM]Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition
    • [eess.AS]Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition
    • [eess.AS]MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition
    • [eess.AS]Transformer ASR with Contextual Block Processing
    • [eess.IV]A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology
    • [eess.IV]Wasserstein GANs for MR Imaging: from Paired to Unpaired Training
    • [eess.SP]Joint Transmit and Reflective Beamforming Design for IRS-Assisted Multiuser MISO SWIPT Systems
    • [eess.SP]Neural Network Design for Energy-Autonomous AI Applications using Temporal Encoding
    • [eess.SP]Reconfigurable Intelligent Surface Empowered Downlink Non-Orthogonal Multiple Access
    • [eess.SP]Self-supervised Learning for ECG-based Emotion Recognition
    • [eess.SP]Variance State Propagation for Structured Sparse Bayesian Learning
    • [eess.SY]Decentralized Heading Control with Rate Constraints using Pulse-Coupled Oscillators
    • [math.OC]Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games
    • [math.OC]Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize
    • [math.PR]Representations of Hermite processes using local time of intersecting stationary stable regenerative sets
    • [math.ST]Alternatives of the EM Algorithm for Estimating the Parameters of the Student-t Distribution
    • [math.ST]Bayesian Inverse Problems with Heterogeneous Variance
    • [math.ST]Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem
    • [math.ST]IRLS for Sparse Recovery Revisited: Examples of Failure and a Remedy
    • [math.ST]Lomax distribution and asymptotical ML estimations based on record values for probability density function and cumulative distribution function
    • [math.ST]Matrix Means and a Novel High-Dimensional Shrinkage Phenomenon
    • [math.ST]Splinets — efficient orthonormalization of the B-splines
    • [math.ST]Stochastic Orderings of Multivariate Elliptical Distributions
    • [q-bio.QM]Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15,000 Patients
    • [quant-ph]Modeling Sequences with Quantum States: A Look Under the Hood
    • [stat.AP]Estimating FARIMA models with uncorrelated but non-independent error terms
    • [stat.AP]Identifying relationships between cognitive processes across tasks, contexts, and time
    • [stat.AP]Lurking Inferential Monsters? Quantifying bias in non-experimental evaluations of school programs
    • [stat.AP]Psychometric Analysis of Forensic Examiner Behavior
    • [stat.AP]Sampling by Reversing The Landmarking Process
    • [stat.ME]A Semi-Parametric Estimation Method for the Quantile Spectrum with an Application to Earthquake Classification Using Convolutional Neural Network
    • [stat.ME]A new INARMA(1, 1) model with Poisson marginals
    • [stat.ME]An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations
    • [stat.ME]Bayesian variable selection in hierarchical difference-in-differences models
    • [stat.ME]Conjugate Bayesian Unit-level Modeling of Count Data Under Informative Sampling Designs
    • [stat.ME]Discussion of “The Blessings of Multiple Causes” by Wang and Blei
    • [stat.ME]Multivariate Forecasting Evaluation: On Sensitive and Strictly Proper Scoring Rules
    • [stat.ME]On the Interplay Between Exposure Misclassification and Informative Cluster Size
    • [stat.ML]Constrained Bayesian Optimization with Max-Value Entropy Search
    • [stat.ML]Excess risk bounds in robust empirical risk minimization
    • [stat.ML]Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics
    • [stat.ML]Sparse Gaussian Process Regression Beyond Variational Inference
    • [stat.ML]The Blessings of Multiple Causes: A Reply to Ogburn et al. (2019)
    • [stat.ML]The Rényi Gaussian Process
    • [stat.ML]Unsupervised Domain Adaptation Meets Offline Recommender Learning
    • [stat.OT]\texttt{code::proof}: Prepare for \emph{most} weather conditions

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

    • [cs.AI]Challenges of Human-Aware AI Systems
    Subbarao Kambhampati
    http://arxiv.org/abs/1910.07089v1

    • [cs.AI]On the Relation between Weak Completion Semantics and Answer Set Semantics
    Emmanuelle-Anna Dietz Saldanha, Jorge Fandinno
    http://arxiv.org/abs/1910.07278v1

    • [cs.AI]The NAI Suite — Drafting and Reasoning over Legal Texts
    Tomer Libal, Alexander Steen
    http://arxiv.org/abs/1910.07004v1

    • [cs.CE]Exploring the fitness landscape of a realistic turbofan rotor blade optimization
    Jakub Kmec, Sebastian Schmitt
    http://arxiv.org/abs/1910.07268v1

    • [cs.CL]A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings
    Lahari Poddar, Gyorgy Szarvas, Lea Frermann
    http://arxiv.org/abs/1910.07333v1

    • [cs.CL]Answering Complex Open-domain Questions Through Iterative Query Generation
    Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning
    http://arxiv.org/abs/1910.07000v1

    • [cs.CL]BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance
    Timo Schick, Hinrich Schütze
    http://arxiv.org/abs/1910.07181v1

    • [cs.CL]Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge
    Travis R. Goodwin, Dina Demner-Fushman
    http://arxiv.org/abs/1910.07429v1

    • [cs.CL]Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service
    Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel
    http://arxiv.org/abs/1910.07419v1

    • [cs.CL]Content Enhanced BERT-based Text-to-SQL Generation
    Tong Guo, Huilin Gao
    http://arxiv.org/abs/1910.07179v1

    • [cs.CL]Efficiency through Auto-Sizing: Notre Dame NLP’s Submission to the WNGT 2019 Efficiency Task
    Kenton Murray, Brian DuSell, David Chiang
    http://arxiv.org/abs/1910.07134v1

    • [cs.CL]Evolution of transfer learning in natural language processing
    Aditya Malte, Pratik Ratadiya
    http://arxiv.org/abs/1910.07370v1

    • [cs.CL]FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
    Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
    http://arxiv.org/abs/1910.07124v1

    • [cs.CL]Fine-grained evaluation of German-English Machine Translation based on a Test Suite
    Vivien Macketanz, Eleftherios Avramidis, Aljoscha Burchardt, Hans Uszkoreit
    http://arxiv.org/abs/1910.07460v1

    • [cs.CL]Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically-motivated Test Suite
    Avramidis Eleftherios, Vivien Macketanz, Arle Lommel, Hans Uszkoreit
    http://arxiv.org/abs/1910.07468v1

    • [cs.CL]Generating Challenge Datasets for Task-Oriented Conversational Agents through Self-Play
    Sourabh Majumdar, Serra Sinem Tekiroglu, Marco Guerini
    http://arxiv.org/abs/1910.07357v1

    • [cs.CL]Imperial College London Submission to VATEX Video Captioning Task
    Ozan Caglayan, Zixiu Wu, Pranava Madhyastha, Josiah Wang, Lucia Specia
    http://arxiv.org/abs/1910.07482v1

    • [cs.CL]Iterative Delexicalization for Improved Spoken Language Understanding
    Avik Ray, Yilin Shen, Hongxia Jin
    http://arxiv.org/abs/1910.07060v1

    • [cs.CL]Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding
    Jiewen Wu, Luis Fernando D’Haro, Nancy F. Chen, Pavitra Krishnaswamy, Rafael E. Banchs
    http://arxiv.org/abs/1910.07150v1

    • [cs.CL]Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition
    Adrien Dufraux, Emmanuel Vincent, Awni Hannun, Armelle Brun, Matthijs Douze
    http://arxiv.org/abs/1910.07323v1

    • [cs.CL]Linguistic evaluation of German-English Machine Translation using a Test Suite
    Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel, Hans Uszkoreit
    http://arxiv.org/abs/1910.07457v1

    • [cs.CL]MLQA: Evaluating Cross-lingual Extractive Question Answering
    Patrick Lewis, Barlas Oğuz, Ruty Rinott, Sebastian Riedel, Holger Schwenk
    http://arxiv.org/abs/1910.07475v1

    • [cs.CL]Meemi: Finding the Middle Ground in Cross-lingual Word Embeddings
    Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert
    http://arxiv.org/abs/1910.07221v1

    • [cs.CL]Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models
    Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James Glass, Fuchun Peng
    http://arxiv.org/abs/1910.07117v1

    • [cs.CL]Unsupervised Question Answering for Fact-Checking
    Mayank Jobanputra
    http://arxiv.org/abs/1910.07154v1

    • [cs.CL]Using Whole Document Context in Neural Machine Translation
    Valentin Macé, Christophe Servan
    http://arxiv.org/abs/1910.07481v1

    • [cs.CL]Why can’t memory networks read effectively?
    Simon Šuster, Madhumita Sushil, Walter Daelemans
    http://arxiv.org/abs/1910.07350v1

    • [cs.CR]Statically Detecting Vulnerabilities by Processing Programming Languages as Natural Languages
    Ibéria Medeiros, Nuno Neves, Miguel Correia
    http://arxiv.org/abs/1910.06826v1

    • [cs.CV]A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone
    Tianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, Byung In Yoo, Jae-Joon Han, Changkyu Choi
    http://arxiv.org/abs/1910.07331v1

    • [cs.CV]Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3
    Adel Ammar, Anis Koubaa, Mohanned Ahmed, Abdulrahman Saad
    http://arxiv.org/abs/1910.07234v1

    • [cs.CV]Attention Network Robustification for Person ReID
    Hussam Lawen, Avi Ben-Cohen, Matan Protter, Itamar Friedman, Lihi Zelnik-Manor
    http://arxiv.org/abs/1910.07038v1

    • [cs.CV]Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology
    C. Chalmers, P. Fergus, Serge Wich, Aday Curbelo Montanez
    http://arxiv.org/abs/1910.07360v1

    • [cs.CV]DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images
    W. Ronny Huang, Yike Qi, Qianqian Li, Jonathan Degange
    http://arxiv.org/abs/1910.07070v1

    • [cs.CV]Design of a Simple Orthogonal Multiwavelet Filter by Matrix Spectral Factorization
    Vasil Kolev, Todor Cooklev, Fritz Keinert
    http://arxiv.org/abs/1910.07133v1

    • [cs.CV]Generative Modeling for Small-Data Object Detection
    Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
    http://arxiv.org/abs/1910.07169v1

    • [cs.CV]Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks
    Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken, Clara I. Sánchez
    http://arxiv.org/abs/1910.07373v1

    • [cs.CV]LOST: A flexible framework for semi-automatic image annotation
    Jonas Jäger, Gereon Reus, Joachim Denzler, Viviane Wolff, Klaus Fricke-Neuderth
    http://arxiv.org/abs/1910.07486v1

    • [cs.CV]Large-Scale Landslides Detection from Satellite Images with Incomplete Labels
    Masanari Kimura
    http://arxiv.org/abs/1910.07129v1

    • [cs.CV]Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
    Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li
    http://arxiv.org/abs/1910.06809v2

    • [cs.CV]Offline handwritten mathematical symbol recognition utilising deep learning
    Azadeh Nazemi, Niloofar Tavakolian, Donal Fitzpatrick, Chandrik a Fernando, Ching Y. Suen
    http://arxiv.org/abs/1910.07395v1

    • [cs.CV]On adversarial patches: real-world attack on ArcFace-100 face recognition system
    Mikhail Pautov, Grigorii Melnikov, Edgar Kaziakhmedov, Klim Kireev, Aleksandr Petiushko
    http://arxiv.org/abs/1910.07067v1

    • [cs.CV]Segmentation Criteria in the Problem of Porosity Determination based on CT Scans
    V. Kokhan, M. Grigoriev, A. Buzmakov, V. Uvarov, A. Ingacheva, E. Shvets, M. Chukalina
    http://arxiv.org/abs/1910.07328v1

    • [cs.CV]Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages
    Nikolay Jetchev, Urs Bergmann, Gökhan Yildirim
    http://arxiv.org/abs/1910.07236v1

    • [cs.CV]Understanding Misclassifications by Attributes
    Sadaf Gulshad, Zeynep Akata, Jan Hendrik Metzen, Arnold Smeulders
    http://arxiv.org/abs/1910.07416v1

    • [cs.CY]On Constructing a Knowledge Base of Chinese Criminal Cases
    Xiaohan Wu, Benjamin L. Liebman, Rachel E. Stern, Margaret E. Roberts, Amarnath Gupta
    http://arxiv.org/abs/1910.07494v1

    • [cs.DB]Efficiently Embedding Dynamic Knowledge Graphs
    Tianxing Wu, Arijit Khan, Huan Gao, Cheng Li
    http://arxiv.org/abs/1910.06708v1

    • [cs.DB]Similarity Driven Approximation for Text Analytics
    Guangyan Hu, Yongfeng Zhang, Sandro Rigo, Thu D. Nguyen
    http://arxiv.org/abs/1910.07144v1

    • [cs.DC]A High-Throughput Solver for Marginalized Graph Kernels on GPU
    Yu-Hang Tang, Oguz Selvitopi, Doru Popovici, Aydın Buluç
    http://arxiv.org/abs/1910.06310v2

    • [cs.DC]A new CP-approach for a parallel machine scheduling problem with time constraints on machine qualifications
    Arnaud Malapert, Margaux Nattaf
    http://arxiv.org/abs/1910.07203v1

    • [cs.DC]Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing
    Xianwei Cheng, Hui Zhao, Mahmut Kandemir, Saraju Mohanty, Beilei Jiang
    http://arxiv.org/abs/1910.07055v1

    • [cs.DC]Consentio: Managing Consent to Data Access using Permissioned Blockchains
    Rishav Raj Agarwal, Dhruv Kumar, Lukasz Golab, Srinivasan Keshav
    http://arxiv.org/abs/1910.07110v1

    • [cs.DC]GraVF-M: Graph Processing System Generation for Multi-FPGA Platforms
    Nina Engelhardt, Hayden K. -H. So
    http://arxiv.org/abs/1910.07408v1

    • [cs.DC]Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks
    Davit Buniatyan
    http://arxiv.org/abs/1910.07172v1

    • [cs.DC]In Search of a Fast and Efficient Serverless DAG Engine
    Benjamin Carver, Jingyuan Zhang, Ao Wang, Yue Cheng
    http://arxiv.org/abs/1910.05896v2

    • [cs.DC]JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training
    José Á. Morell, Andrés Camero, Enrique Alba
    http://arxiv.org/abs/1910.07402v1

    • [cs.DC]SCALPEL3: a scalable open-source library for healthcare claims databases
    Emmanuel Bacry, Stéphane Gaïffas, Fanny Leroy, Maryan Morel, Dinh Phong Nguyen, Youcef Sebiat, Dian Sun
    http://arxiv.org/abs/1910.07045v1

    • [cs.GR]Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis
    Yuki Endo, Yoshihiro Kanamori, Shigeru Kuriyama
    http://arxiv.org/abs/1910.07192v1

    • [cs.HC]Designing Style Matching Conversational Agents
    Deepali Aneja, Rens Hoegen, Daniel McDuff, Mary Czerwinski
    http://arxiv.org/abs/1910.07514v1

    • [cs.HC]Gaze Gestures and Their Applications in human-computer interaction with a head-mounted display
    W. X. Chen, X. Y. Cui, J. Zheng, J. M. Zhang, S. Chen, Y. D. Yao
    http://arxiv.org/abs/1910.07428v1

    • [cs.HC]Using learning analytics to provide personalized recommendations for finding peers
    Irene-Angelica Chounta
    http://arxiv.org/abs/1910.07381v1

    • [cs.IR]NLPExplorer: Exploring the Universe of NLP Papers
    Monarch Parmar, Naman Jain, Pranjali Jain, P Jayakrishna Sahit, Soham Pachpande, Shruti Singh, Mayank Singh
    http://arxiv.org/abs/1910.07351v1

    • [cs.IR]Rule based Approach for Word Normalization by resolving Transcription Ambiguity in Transliterated Search Queries
    Varsha Pathak, Manish Joshi
    http://arxiv.org/abs/1910.07233v1

    • [cs.IR]The Impact of Popularity Bias on Fairness and Calibration in Recommendation
    Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
    http://arxiv.org/abs/1910.05755v3

    • [cs.IT]An Overview of Capacity Results for Synchronization Channels
    Mahdi Cheraghchi, João Ribeiro
    http://arxiv.org/abs/1910.07199v1

    • [cs.IT]Covariance Matrix Estimation from Correlated Sub-Gaussian Samples
    Xu Zhang, Wei Cui, Yulong Liu
    http://arxiv.org/abs/1910.07183v1

    • [cs.IT]Covert Wireless Communication in Presence of a Multi-Antenna Adversary and Delay Constraints
    Khurram Shahzad, Xiangyun Zhou, Shihao Yan
    http://arxiv.org/abs/1910.07246v1

    • [cs.IT]Long Optimal LRC Codes with Unbounded Localities and Unbounded Minimum Distances
    Hao Chen, Jian Weng, Weiqi Luo
    http://arxiv.org/abs/1910.07267v1

    • [cs.IT]Machine Learning for Error Correction with Natural Redundancy
    Pulakesh Upadhyaya, Anxiao Jiang
    http://arxiv.org/abs/1910.07420v1

    • [cs.IT]Universal Bounds for Size and Energy of Codes of Given Minimum and Maximum Distances
    Peter Boyvalenkov, Peter Dragnev, Douglas Hardin, Edward Saff, Maya Stoyanova
    http://arxiv.org/abs/1910.07274v1

    • [cs.LG]A Notion of Harmonic Clustering in Simplicial Complexes
    Stefania Ebli, Gard Spreemann
    http://arxiv.org/abs/1910.07247v1

    • [cs.LG]Adaptive Exploration in Linear Contextual Bandit
    Botao Hao, Tor Lattimore, Csaba Szepesvari
    http://arxiv.org/abs/1910.06996v1

    • [cs.LG]Adaptive Trade-Offs in Off-Policy Learning
    Mark Rowland, Will Dabney, Rémi Munos
    http://arxiv.org/abs/1910.07478v1

    • [cs.LG]An Exponential Learning Rate Schedule for Deep Learning
    Zhiyuan Li, Sanjeev Arora
    http://arxiv.org/abs/1910.07454v1

    • [cs.LG]Audio-Conditioned U-Net for Position Estimation in Full Sheet Images
    Florian Henkel, Rainer Kelz, Gerhard Widmer
    http://arxiv.org/abs/1910.07254v1

    • [cs.LG]Conditional Importance Sampling for Off-Policy Learning
    Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney
    http://arxiv.org/abs/1910.07479v1

    • [cs.LG]Conditional Invertible Flow for Point Cloud Generation
    Michał Stypułkowski, Maciej Zamorski, Maciej Zięba, Jan Chorowski
    http://arxiv.org/abs/1910.07344v1

    • [cs.LG]Conditional Learning of Fair Representations
    Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon
    http://arxiv.org/abs/1910.07162v1

    • [cs.LG]Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost
    Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan O. Arik, Larry S. Davis, Tomas Pfister
    http://arxiv.org/abs/1910.07153v1

    • [cs.LG]Conversion Rate Prediction via Post-Click Behaviour Modeling
    Hong Wen, Jing Zhang, Yuan Wang, Wentian Bao, Quan Lin, Keping Yang
    http://arxiv.org/abs/1910.07099v1

    • [cs.LG]Creativity in Robot Manipulation with Deep Reinforcement Learning
    Juan Carlos Vargas, Malhar Bhoite, Amir Barati Farimani
    http://arxiv.org/abs/1910.07459v1

    • [cs.LG]Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation
    Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu
    http://arxiv.org/abs/1910.07186v1

    • [cs.LG]Embodiment dictates learnability in neural controllers
    Joshua Powers, Ryan Grindle, Sam Kriegman, Lapo Frati, Nick Cheney, Josh Bongard
    http://arxiv.org/abs/1910.07487v1

    • [cs.LG]Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms
    Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiao Yu Wang, Alexander Wong
    http://arxiv.org/abs/1910.07387v1

    • [cs.LG]FISHDBC: Flexible, Incremental, Scalable, Hierarchical Density-Based Clustering for Arbitrary Data and Distance
    Matteo Dell’Amico
    http://arxiv.org/abs/1910.07283v1

    • [cs.LG]HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories
    Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
    http://arxiv.org/abs/1910.07115v1

    • [cs.LG]Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation
    Elisa Oostwal, Michiel Straat, Michael Biehl
    http://arxiv.org/abs/1910.07476v1

    • [cs.LG]How a minimal learning agent can infer the existence of unobserved variables in a complex environment
    Katja Ried, Benjamin Eva, Thomas Müller, Hans J. Briegel
    http://arxiv.org/abs/1910.06985v1

    • [cs.LG]MAVEN: Multi-Agent Variational Exploration
    Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson
    http://arxiv.org/abs/1910.07483v1

    • [cs.LG]MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design
    Mayoore S. Jaiswal, Bumboo Kang, Jinho Lee, Minsik Cho
    http://arxiv.org/abs/1910.07042v1

    • [cs.LG]Model-Agnostic Meta-Learning using Runge-Kutta Methods
    Daniel Jiwoong Im, Yibo Jiang, Nakul Verma
    http://arxiv.org/abs/1910.07368v1

    • [cs.LG]Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
    Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain
    http://arxiv.org/abs/1910.07072v1

    • [cs.LG]Multiclass spectral feature scaling method for dimensionality reduction
    Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
    http://arxiv.org/abs/1910.07174v1

    • [cs.LG]On Learning Paradigms for the Travelling Salesman Problem
    Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
    http://arxiv.org/abs/1910.07210v1

    • [cs.LG]On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
    Yuanhao Wang, Guodong Zhang, Jimmy Ba
    http://arxiv.org/abs/1910.07512v1

    • [cs.LG]On the Global Optima of Kernelized Adversarial Representation Learning
    Bashir Sadeghi, Runyi Yu, Vishnu Naresh Boddeti
    http://arxiv.org/abs/1910.07423v1

    • [cs.LG]Optimising Individual-Treatment-Effect Using Bandits
    Jeroen Berrevoets, Sam Verboven, Wouter Verbeke
    http://arxiv.org/abs/1910.07265v1

    • [cs.LG]Orthogonal Gradient Descent for Continual Learning
    Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li
    http://arxiv.org/abs/1910.07104v1

    • [cs.LG]Reduced-Order Modeling of Deep Neural Networks
    Talgat Daulbaev, Julia Gusak, Evgeny Ponomarev, Andrzej Cichocki, Ivan Oseledets
    http://arxiv.org/abs/1910.06995v1

    • [cs.LG]Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
    Ozsel Kilinc, Yang Hu, Giovanni Montana
    http://arxiv.org/abs/1910.07294v1

    • [cs.LG]Root Mean Square Layer Normalization
    Biao Zhang, Rico Sennrich
    http://arxiv.org/abs/1910.07467v1

    • [cs.LG]Rugby-Bot: Utilizing Multi-Task Learning & Fine-Grained Features for Rugby League Analysis
    Matthew Holbrook, Jennifer Hobbs, Patrick Lucey
    http://arxiv.org/abs/1910.07410v1

    • [cs.LG]SGD Learns One-Layer Networks in WGANs
    Qi Lei, Jason D. Lee, Alexandros G. Dimakis, Constantinos Daskalakis
    http://arxiv.org/abs/1910.07030v1

    • [cs.LG]Soft Actor-Critic for Discrete Action Settings
    Petros Christodoulou
    http://arxiv.org/abs/1910.07207v1

    • [cs.LG]Solving Rubik’s Cube with a Robot Hand
    OpenAI, Ilge Akkaya, Marcin Andrychowicz, Maciek Chociej, Mateusz Litwin, Bob McGrew, Arthur Petron, Alex Paino, Matthias Plappert, Glenn Powell, Raphael Ribas, Jonas Schneider, Nikolas Tezak, Jerry Tworek, Peter Welinder, Lilian Weng, Qiming Yuan, Wojciech Zaremba, Lei Zhang
    http://arxiv.org/abs/1910.07113v1

    • [cs.LG]Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
    Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer
    http://arxiv.org/abs/1910.07224v1

    • [cs.LG]Transfer Learning for Algorithm Recommendation
    Gean Trindade Pereira, Moisés dos Santos, Edesio Alcobaça, Rafael Mantovani, André Carvalho
    http://arxiv.org/abs/1910.07012v1

    • [cs.LG]Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs
    Robert Walecki, Kostis Gourgoulias, Adam Baker, Chris Hart, Chris Lucas, Max Zwiessele, Albert Buchard, Maria Lomeli, Yura Perov, Saurabh Johri
    http://arxiv.org/abs/1910.07474v1

    • [cs.MM]A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music
    Thassilo Gadermaier, Gerhard Widmer
    http://arxiv.org/abs/1910.07394v1

    • [cs.NE]AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation
    Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor
    http://arxiv.org/abs/1910.07491v1

    • [cs.NE]Negatively Correlated Search as a Parallel Exploration Search Strategy
    Peng Yang, Ke Tang, Xin Yao
    http://arxiv.org/abs/1910.07151v1

    • [cs.NE]On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor
    Kenneth Stewart, Emre Neftci, Garrick Orchard, Sumit Bam Shrestha
    http://arxiv.org/abs/1910.04972v4

    • [cs.NE]Structural Analysis of Sparse Neural Networks
    Julian Stier, Michael Granitzer
    http://arxiv.org/abs/1910.07225v1

    • [cs.NE]The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
    Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke
    http://arxiv.org/abs/1910.07407v1

    • [cs.NI]Sub-Channel Allocation for Device-to-Device Underlaying Full-Duplex mmWave Small Cells using Coalition Formation Games
    Yibing Wang, Yong Niu, Hao Wu, Zhu Han, Bo Ai, Qi Wang
    http://arxiv.org/abs/1910.07187v1

    • [cs.RO]Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making
    Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian Scherer
    http://arxiv.org/abs/1910.06988v1

    • [cs.RO]Explainable Semantic Mapping for First Responders
    Jean Oh, Martial Hebert, Hae-Gon Jeon, Xavier Perez, Chia Dai, Yeeho Song
    http://arxiv.org/abs/1910.07093v1

    • [cs.RO]FlowNorm: A Learning-based Method for Increasing Convergence Range of Direct Alignment
    Ke Wang, Kaixuan Wang, Shaojie Shen
    http://arxiv.org/abs/1910.07217v1

    • [cs.RO]Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation
    Ran Tian, Nan Li, Ilya Kolmanovsky, Yildiray Yildiz, Anouck Girard
    http://arxiv.org/abs/1910.07141v1

    • [cs.SI]Beyond Fortune 500: Women in a Global Network of Directors
    Anna Evtushenko, Michael Gastner
    http://arxiv.org/abs/1910.07441v1

    • [cs.SI]Design method of Temporary Horizontal Visibility Graph for information sources impact network
    D. V. Lande, A. M. Soboliev
    http://arxiv.org/abs/1910.07340v1

    • [cs.SI]Eva: Attribute-Aware Network Segmentation
    Salvatore Citraro, Giulio Rossetti
    http://arxiv.org/abs/1910.06599v2

    • [cs.SI]SGP: Spotting Groups Polluting the Online Political Discourse
    Junhao Wang, Sacha Levy, Ren Wang, Aayushi Kulshrestha, Reihaneh Rabbany
    http://arxiv.org/abs/1910.07130v1

    • [cs.SI]Tutorial on NLP-Inspired Network Embedding
    Boaz Shmueli
    http://arxiv.org/abs/1910.07212v1

    • [econ.EM]Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition
    Aureo de Paula, Imran Rasul, Pedro Souza
    http://arxiv.org/abs/1910.07452v1

    • [eess.AS]Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition
    Salar Jafarlou, Soheil Khorram, Vinay Kothapally, John H. L. Hansen
    http://arxiv.org/abs/1910.07047v1

    • [eess.AS]MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition
    Xuankai Chang, Wangyou Zhang, Yanmin Qian, Jonathan Le Roux, Shinji Watanabe
    http://arxiv.org/abs/1910.06522v2

    • [eess.AS]Transformer ASR with Contextual Block Processing
    Emiru Tsunoo, Yosuke Kashiwagi, Toshiyuki Kumakura, Shinji Watanabe
    http://arxiv.org/abs/1910.07204v1

    • [eess.IV]A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology
    Syed Muhammad Anwar, Tooba Altaf, Khola Rafique, Harish RaviPrakash, Hassan Mohy-ud-Din, Ulas Bagci
    http://arxiv.org/abs/1910.07470v1

    • [eess.IV]Wasserstein GANs for MR Imaging: from Paired to Unpaired Training
    Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasawanala
    http://arxiv.org/abs/1910.07048v1

    • [eess.SP]Joint Transmit and Reflective Beamforming Design for IRS-Assisted Multiuser MISO SWIPT Systems
    Yizheng Tang, Ganggang Ma, Hailiang Xie, Jie Xu, Xiao Han
    http://arxiv.org/abs/1910.07156v1

    • [eess.SP]Neural Network Design for Energy-Autonomous AI Applications using Temporal Encoding
    Sergey Mileiko, Thanasin Bunnam, Fei Xia, Rishad Shafik, Alex Yakovlev, Shidhartha Das
    http://arxiv.org/abs/1910.07492v1

    • [eess.SP]Reconfigurable Intelligent Surface Empowered Downlink Non-Orthogonal Multiple Access
    Min Fu, Yong Zhou, Yuanming Shi
    http://arxiv.org/abs/1910.07361v1

    • [eess.SP]Self-supervised Learning for ECG-based Emotion Recognition
    Pritam Sarkar, Ali Etemad
    http://arxiv.org/abs/1910.07497v1

    • [eess.SP]Variance State Propagation for Structured Sparse Bayesian Learning
    Mingchen Zhang, Xiaojun Yuan, Zhen-Qing He
    http://arxiv.org/abs/1910.07352v1

    • [eess.SY]Decentralized Heading Control with Rate Constraints using Pulse-Coupled Oscillators
    Timothy Anglea, Yongqiang Wang
    http://arxiv.org/abs/1910.07442v1

    • [math.OC]Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games
    Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
    http://arxiv.org/abs/1910.07498v1

    • [math.OC]Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize
    Youngsuk Park, Sauptik Dhar, Stephen Boyd, Mohak Shah
    http://arxiv.org/abs/1910.07056v1

    • [math.PR]Representations of Hermite processes using local time of intersecting stationary stable regenerative sets
    Shuyang Bai
    http://arxiv.org/abs/1910.07120v1

    • [math.ST]Alternatives of the EM Algorithm for Estimating the Parameters of the Student-t Distribution
    Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl
    http://arxiv.org/abs/1910.06623v1

    • [math.ST]Bayesian Inverse Problems with Heterogeneous Variance
    Natalia Bochkina, Jenovah Rodrigues
    http://arxiv.org/abs/1910.06914v2

    • [math.ST]Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem
    Matteo Giordano, Richard Nickl
    http://arxiv.org/abs/1910.07343v1

    • [math.ST]IRLS for Sparse Recovery Revisited: Examples of Failure and a Remedy
    Aleksandr Y. Aravkin, James V. Burke, Daiwei He
    http://arxiv.org/abs/1910.07095v1

    • [math.ST]Lomax distribution and asymptotical ML estimations based on record values for probability density function and cumulative distribution function
    Saman Hosseini, Dler Hussein Kadir
    http://arxiv.org/abs/1910.07200v1

    • [math.ST]Matrix Means and a Novel High-Dimensional Shrinkage Phenomenon
    Asad Lodhia, Keith Levin, Elizaveta Levina
    http://arxiv.org/abs/1910.07434v1

    • [math.ST]Splinets — efficient orthonormalization of the B-splines
    Xijia Liu, Hiba Nassar, Krzysztof PodgÓrski
    http://arxiv.org/abs/1910.07341v1

    • [math.ST]Stochastic Orderings of Multivariate Elliptical Distributions
    Chuancun Yin
    http://arxiv.org/abs/1910.07158v1

    • [q-bio.QM]Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15,000 Patients
    Hui Xue, Ethan Tseng, Kristopher D Knott, Tushar Kotecha, Louise Brown, Sven Plein, Marianna Fontana, James C Moon, Peter Kellman
    http://arxiv.org/abs/1910.07122v1

    • [quant-ph]Modeling Sequences with Quantum States: A Look Under the Hood
    Tai-Danae Bradley, E. Miles Stoudenmire, John Terilla
    http://arxiv.org/abs/1910.07425v1

    • [stat.AP]Estimating FARIMA models with uncorrelated but non-independent error terms
    Yacouba Boubacar Maïnassara, Youssef Esstafa, Bruno Saussereau
    http://arxiv.org/abs/1910.07213v1

    • [stat.AP]Identifying relationships between cognitive processes across tasks, contexts, and time
    Laura Wall, David Gunawan, Scott D. Brown, Minh-Ngoc Tran, Robert Kohn, Guy E. Hawkins
    http://arxiv.org/abs/1910.07185v1

    • [stat.AP]Lurking Inferential Monsters? Quantifying bias in non-experimental evaluations of school programs
    Ben Weidmann, Luke Miratrix
    http://arxiv.org/abs/1910.07091v1

    • [stat.AP]Psychometric Analysis of Forensic Examiner Behavior
    Amanda Luby, Anjali Mazumder, Brian Junker
    http://arxiv.org/abs/1910.07447v1

    • [stat.AP]Sampling by Reversing The Landmarking Process
    C. K. Lee
    http://arxiv.org/abs/1910.07121v1

    • [stat.ME]A Semi-Parametric Estimation Method for the Quantile Spectrum with an Application to Earthquake Classification Using Convolutional Neural Network
    Tianbo Chen, Ying Sun, Ta-Hsin Li
    http://arxiv.org/abs/1910.07155v1

    • [stat.ME]A new INARMA(1, 1) model with Poisson marginals
    Johannes Bracher
    http://arxiv.org/abs/1910.07244v1

    • [stat.ME]An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations
    Zachary F. Fisher, Kenneth A. Bollen
    http://arxiv.org/abs/1910.07393v1

    • [stat.ME]Bayesian variable selection in hierarchical difference-in-differences models
    James Normington, Eric F. Lock, Thomas A. Murray, Caroline S. Carlin
    http://arxiv.org/abs/1910.07017v1

    • [stat.ME]Conjugate Bayesian Unit-level Modeling of Count Data Under Informative Sampling Designs
    Paul A. Parker, Scott H. Holan, Ryan Janicki
    http://arxiv.org/abs/1910.07074v1

    • [stat.ME]Discussion of “The Blessings of Multiple Causes” by Wang and Blei
    Kosuke Imai, Zhichao Jiang
    http://arxiv.org/abs/1910.06991v1

    • [stat.ME]Multivariate Forecasting Evaluation: On Sensitive and Strictly Proper Scoring Rules
    Florian Ziel, Kevin Berk
    http://arxiv.org/abs/1910.07325v1

    • [stat.ME]On the Interplay Between Exposure Misclassification and Informative Cluster Size
    Glen McGee, Marianthi-Anna Kioumourtzoglou, Marc G. Weisskopf, Sebastien Haneuse, Brent A. Coull
    http://arxiv.org/abs/1910.07438v1

    • [stat.ML]Constrained Bayesian Optimization with Max-Value Entropy Search
    Valerio Perrone, Iaroslav Shcherbatyi, Rodolphe Jenatton, Cedric Archambeau, Matthias Seeger
    http://arxiv.org/abs/1910.07003v1

    • [stat.ML]Excess risk bounds in robust empirical risk minimization
    Stanislav Minsker, Timothée Mathieu
    http://arxiv.org/abs/1910.07485v1

    • [stat.ML]Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics
    Chirag Modi, Uros Seljak
    http://arxiv.org/abs/1910.07178v1

    • [stat.ML]Sparse Gaussian Process Regression Beyond Variational Inference
    Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner
    http://arxiv.org/abs/1910.07123v1

    • [stat.ML]The Blessings of Multiple Causes: A Reply to Ogburn et al. (2019)
    Yixin Wang, David M. Blei
    http://arxiv.org/abs/1910.07320v1

    • [stat.ML]The Rényi Gaussian Process
    Raed Kontar, Xubo Yue
    http://arxiv.org/abs/1910.06990v1

    • [stat.ML]Unsupervised Domain Adaptation Meets Offline Recommender Learning
    Yuta Saito
    http://arxiv.org/abs/1910.07295v1

    • [stat.OT]\texttt{code::proof}: Prepare for \emph{most} weather conditions
    Charles T. Gray
    http://arxiv.org/abs/1910.06964v1