cs.AI - 人工智能

    cs.CC - 计算复杂度 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.DM - 离散数学 cs.DS - 数据结构与算法 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 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.DG - 微分几何 math.FA - 泛函演算 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.QM - 定量方法 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

    • [cs.AI]Learning Action Models from Disordered and Noisy Plan Traces
    • [cs.CC]Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication
    • [cs.CL]A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers
    • [cs.CL]A framework for anomaly detection using language modeling, and its applications to finance
    • [cs.CL]Adversarial Domain Adaptation for Machine Reading Comprehension
    • [cs.CL]An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation
    • [cs.CL]Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection
    • [cs.CL]Automatic Text Summarization of Legal Cases: A Hybrid Approach
    • [cs.CL]BERT for Coreference Resolution: Baselines and Analysis
    • [cs.CL]DAST Model: Deciding About Semantic Complexity of a Text
    • [cs.CL]Deploying Technology to Save Endangered Languages
    • [cs.CL]Detecting Toxicity in News Articles: Application to Bulgarian
    • [cs.CL]Domain Adaptive Text Style Transfer
    • [cs.CL]Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
    • [cs.CL]Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
    • [cs.CL]Efficient Bidirectional Neural Machine Translation
    • [cs.CL]Enhancing Neural Sequence Labeling with Position-Aware Self-Attention
    • [cs.CL]Ensemble approach for natural language question answering problem
    • [cs.CL]Hierarchically-Refined Label Attention Network for Sequence Labeling
    • [cs.CL]Low-Resource Name Tagging Learned with Weakly Labeled Data
    • [cs.CL]Measuring Patent Claim Generation by Span Relevancy
    • [cs.CL]Multi-task Learning for Low-resource Second Language Acquisition Modeling
    • [cs.CL]Multi-view Characterization of Stories from Narratives and Reviews using Multi-label Ranking
    • [cs.CL]Multilingual Neural Machine Translation with Language Clustering
    • [cs.CL]Neural Text Summarization: A Critical Evaluation
    • [cs.CL]Neural data-to-text generation: A comparison between pipeline and end-to-end architectures
    • [cs.CL]On Measuring and Mitigating Biased Inferences of Word Embeddings
    • [cs.CL]Open Event Extraction from Online Text using a Generative Adversarial Network
    • [cs.CL]Partially-supervised Mention Detection
    • [cs.CL]Patient Knowledge Distillation for BERT Model Compression
    • [cs.CL]Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks
    • [cs.CL]Query-Based Named Entity Recognition
    • [cs.CL]Release Strategies and the Social Impacts of Language Models
    • [cs.CL]Rethinking Attribute Representation and Injection for Sentiment Classification
    • [cs.CL]Semi-supervised Learning for Word Sense Disambiguation
    • [cs.CL]Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation
    • [cs.CL]Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation
    • [cs.CL]Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
    • [cs.CL]Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation
    • [cs.CL]uniblock: Scoring and Filtering Corpus with Unicode Block Information
    • [cs.CR]A universally verifiable, software independent, bare-handed voting protocol
    • [cs.CR]Internet of Things Enabled Policing Processes
    • [cs.CV]A Comparison of CNN and Classic Features for Image Retrieval
    • [cs.CV]A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification
    • [cs.CV]A Statistical Defense Approach for Detecting Adversarial Examples
    • [cs.CV]Adaptive Embedding Gate for Attention-Based Scene Text Recognition
    • [cs.CV]An Evaluation of Feature Matchers forFundamental Matrix Estimation
    • [cs.CV]Camera Pose Correction in SLAM Based on Bias Values of Map Points
    • [cs.CV]Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
    • [cs.CV]CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention
    • [cs.CV]Conditional Flow Variational Autoencoders for Structured Sequence Prediction
    • [cs.CV]Confidence Regularized Self-Training
    • [cs.CV]Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
    • [cs.CV]Customizable Architecture Search for Semantic Segmentation
    • [cs.CV]Deep Closed-Form Subspace Clustering
    • [cs.CV]Deep Concept-wise Temporal Convolutional Networks for Action Localization
    • [cs.CV]Depth-AGMNet: an Atrous Granular Multiscale Stereo Network Based on Depth Edge Auxiliary Task
    • [cs.CV]Don’t ignore Dropout in Fully Convolutional Networks
    • [cs.CV]Dynamic Kernel Distillation for Efficient Pose Estimation in Videos
    • [cs.CV]Efficient Learning on Point Clouds with Basis Point Sets
    • [cs.CV]Embarrassingly Simple Binary Representation Learning
    • [cs.CV]End-To-End Measure for Text Recognition
    • [cs.CV]Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos
    • [cs.CV]EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding
    • [cs.CV]Gated Convolutional Networks with Hybrid Connectivity for Image Classification
    • [cs.CV]Generator evaluator-selector net: a modular approach for panoptic segmentation
    • [cs.CV]Learning Disentangled Representations via Independent Subspaces
    • [cs.CV]Learning adaptively from the unknown for few-example video person re-ID
    • [cs.CV]Mocycle-GAN: Unpaired Video-to-Video Translation
    • [cs.CV]Multi-Channel Neural Network for Assessing Neonatal Pain from Videos
    • [cs.CV]Multi-Path Learnable Wavelet Neural Network for Image Classification
    • [cs.CV]No Fear of the Dark: Image Retrieval under Varying Illumination Conditions
    • [cs.CV]Non-local Recurrent Neural Memory for Supervised Sequence Modeling
    • [cs.CV]Object-Driven Multi-Layer Scene Decomposition From a Single Image
    • [cs.CV]Relation Distillation Networks for Video Object Detection
    • [cs.CV]Residual Objectness for Imbalance Reduction
    • [cs.CV]Robust Regression via Deep Negative Correlation Learning
    • [cs.CV]SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification
    • [cs.CV]SPGNet: Semantic Prediction Guidance for Scene Parsing
    • [cs.CV]See More Than Once — Kernel-Sharing Atrous Convolution for Semantic Segmentation
    • [cs.CV]SeesawFaceNets: sparse and robust face verification model for mobile platform
    • [cs.CV]Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images
    • [cs.CV]Single-Stage Multi-Person Pose Machines
    • [cs.CV]Situational Fusion of Visual Representation for Visual Navigation
    • [cs.CV]SliderGAN: Synthesizing Expressive Face Images by Sliding 3D Blendshape Parameters
    • [cs.CV]Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
    • [cs.CV]Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower
    • [cs.CV]Texture and Structure Two-view Classification of Images
    • [cs.CV]Towards Unconstrained End-to-End Text Spotting
    • [cs.CV]Towards Unsupervised Image Captioning with Shared Multimodal Embeddings
    • [cs.CV]Uncertainty-Aware Anticipation of Activities
    • [cs.CV]Where Is My Mirror?
    • [cs.CV]advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
    • [cs.CY]Experiments in Social Media
    • [cs.DB]Ontology alignment: A Content-Based Bayesian Approach
    • [cs.DC]Extending TensorFlow’s Semantics with Pipelined Execution
    • [cs.DC]Low-Congestion Shortcut and Graph Parameters
    • [cs.DC]Towards Secure and Decentralized Sharing of IoT Data
    • [cs.DL]Annals of Library and Information Studies. A bibliometric analysis of the journal and a comparison with the top library and information studies journals in Asia and worldwide (20112017)
    • [cs.DM]Local Graph Stability in Exponential Family Random Graph Models
    • [cs.DS]A Center in Your Neighborhood: Fairness in Facility Location
    • [cs.IR]Attentive History Selection for Conversational Question Answering
    • [cs.IR]Improving Outfit Recommendation with Co-supervision of Fashion Generation
    • [cs.IR]Successive Point-of-Interest Recommendation with Local Differential Privacy
    • [cs.IT]A Millimeter-Wave Channel Simulator NYUSIM with Spatial Consistency and Human Blockage
    • [cs.IT]ADMM Enabled Hybrid Precoding in Wideband Distributed Phased Arrays Based MIMO Systems
    • [cs.IT]Babel Storage: Uncoordinated Content Delivery from Multiple Coded Storage Systems
    • [cs.IT]From sequential decoding to channel polarization and back again
    • [cs.IT]Fundamentals of Drone Cellular Network Analysis under Random Waypoint Mobility Model
    • [cs.IT]Map-Assisted Millimeter Wave Localization for Accurate Position Location
    • [cs.IT]On Parameter Optimization of Product Codes for Iterative Bounded Distance Decoding with Scaled Reliability
    • [cs.IT]Relation between the Kantorovich-Wasserstein metric and the Kullback-Leibler divergence
    • [cs.IT]Simultaneous Wireless Information and Power Transfer for Decode-and-Forward Multi-Hop Relay Systems in Energy-Constrained IoT Networks
    • [cs.IT]Two High-Performance Amplitude Beamforming Schemes for Secure Precise Communication and Jamming with Phase Alignment
    • [cs.LG]A Method for Estimating the Proximity of Vector Representation Groups in Multidimensional Space. On the Example of the Paraphrase Task
    • [cs.LG]A Probabilistic Representation of Deep Learning
    • [cs.LG]Adversarial Edit Attacks for Tree Data
    • [cs.LG]Almost Tune-Free Variance Reduction
    • [cs.LG]An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises
    • [cs.LG]Bayesian Nonparametrics for Non-exhaustive Learning
    • [cs.LG]Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks
    • [cs.LG]Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning
    • [cs.LG]DGSAN: Discrete Generative Self-Adversarial Network
    • [cs.LG]Demystifying the MLPerf Benchmark Suite
    • [cs.LG]Deriving a Quantitative Relationship Between Resolution and Human Classification Error
    • [cs.LG]Differentiable Product Quantization for End-to-End Embedding Compression
    • [cs.LG]Dynamics-aware Embeddings
    • [cs.LG]EPP: interpretable score of model predictive power
    • [cs.LG]Exploring the Performance of Deep Residual Networks in Crazyhouse Chess
    • [cs.LG]Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data
    • [cs.LG]Generalizing Psychological Similarity Spaces to Unseen Stimuli
    • [cs.LG]Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms
    • [cs.LG]Heterogeneous Relational Kernel Learning
    • [cs.LG]Improvability Through Semi-Supervised Learning: A Survey of Theoretical Results
    • [cs.LG]Improving Neural Story Generation by Targeted Common Sense Grounding
    • [cs.LG]LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm
    • [cs.LG]On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach
    • [cs.LG]Once for All: Train One Network and Specialize it for Efficient Deployment
    • [cs.LG]Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?
    • [cs.LG]OpenSpiel: A Framework for Reinforcement Learning in Games
    • [cs.LG]Optimal best arm selection for general distributions
    • [cs.LG]Pareto-optimal data compression for binary classification tasks
    • [cs.LG]Preventing the Generation of Inconsistent Sets of Classification Rules
    • [cs.LG]RandNet: deep learning with compressed measurements of images
    • [cs.LG]Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
    • [cs.LG]Scalable Probabilistic Matrix Factorization with Graph-Based Priors
    • [cs.LG]Supporting stylists by recommending fashion style
    • [cs.LG]Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization
    • [cs.LG]Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning
    • [cs.LG]Unsupervised Construction of Knowledge Graphs From Text and Code
    • [cs.LG]Variational Graph Recurrent Neural Networks
    • [cs.LG]Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs
    • [cs.MA]Dynamic Term-Modal Logic for Epistemic Social Network Dynamics (Extended Version)
    • [cs.NI]Semantically Intelligent Distributed Leader Election (SIDLE) Algorithm for WSAN Part of IoT Systems
    • [cs.RO]A Planning Framework for Persistent, Multi-UAV Coverage with Global Deconfliction
    • [cs.RO]Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
    • [cs.RO]High Performance Visual Object Tracking with Unified Convolutional Networks
    • [cs.RO]Planning Beyond the Sensing Horizon Using a Learned Context
    • [cs.RO]Tech Report: Efficient and Exact Collision Detection for Circular Agents
    • [cs.SD]Improving Automatic Jazz Melody Generation by Transfer Learning Techniques
    • [cs.SI]Approximation Algorithms for Coordinating Ad Campaigns on Social Networks
    • [cs.SI]Competitive Information Spread with Confirmation Bias in Cyber-Social Networks
    • [cs.SI]Graph Embedding Based Hybrid Social Recommendation System
    • [cs.SI]Hyper-Path-Based Representation Learning for Hyper-Networks
    • [cs.SI]Intellectual and social similarity among scholarly journals: an exploratory comparison of the networks of editors, authors and co-citations
    • [cs.SI]Motif Enhanced Recommendation over Heterogeneous Information Network
    • [cs.SI]NETR-Tree: An Eifficient Framework for Social-Based Time-Aware Spatial Keyword Query
    • [cs.SI]On Inference of Network Topology and Confirmation Bias in Cyber-Social Networks
    • [cs.SI]Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models
    • [econ.EM]Dyadic Regression
    • [econ.EM]The Ridge Path Estimator for Linear Instrumental Variables
    • [eess.AS]Connecting and Comparing Language Model Interpolation Techniques
    • [eess.AS]Nearest Neighbor Search-Based Bitwise Source Separation Using Discriminant Winner-Take-All Hashing
    • [eess.IV]A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification
    • [eess.IV]Accelerated Motion-Aware MR Imaging via Motion Prediction from K-Space Center
    • [eess.IV]Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation
    • [eess.IV]Customized OCT images compression scheme with deep neural network
    • [eess.IV]CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry
    • [eess.IV]Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing
    • [eess.IV]Estimation of preterm birth markers with U-Net segmentation network
    • [eess.IV]Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network
    • [eess.IV]LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset
    • [eess.IV]Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos
    • [eess.IV]Principal Component Analysis Using Structural Similarity Index for Images
    • [eess.IV]Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction
    • [eess.IV]Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation
    • [eess.SP]Indoor Wireless Channel Properties at Millimeter Wave and Sub-Terahertz Frequencies
    • [eess.SP]Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning
    • [eess.SP]Multichannel signal detection in interference and noise when signal mismatch happens
    • [eess.SP]Resource Allocation for Non-Orthogonal Multiple Access (NOMA) Enabled LPWA Networks
    • [eess.SY]Novel Stealthy Attack and Defense Strategies for Networked Control Systems
    • [math.DG]Riemannian Geometry of Symmetric Positive Definite Matrices via Cholesky Decomposition
    • [math.FA]The Hájek-Rényi-Chow maximal inequality and a strong law of large numbers in Riesz spaces
    • [math.OC]KL property of exponent $1/2$ of $\ell    {2,0}$-norm and DC regularized factorizations for low-rank matrix recovery
    • [math.OC]Optimal Heterogeneous Asset Location Modeling for Expected Spatiotemporal Search and Rescue Demands using Historic Event Data
    • [math.ST]Identifiability of asymmetric circular and cylindrical distributions
    • [math.ST]The Identification Problem for Linear Rational Expectations Models
    • [physics.soc-ph]Football is becoming boring; Network analysis of 88 thousands matches in 11 major leagues
    • [q-bio.GN]Fusing heterogeneous data sets
    • [q-bio.QM]Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis
    • [stat.AP]Evaluating probabilistic forecasts of football matches: The case against the Ranked Probability Score
    • [stat.AP]Geographically Weighted Cox Regression for Prostate Cancer Survival Data in Louisiana
    • [stat.AP]Probabilistic Forecasting of the Arctic Sea Ice Edge with Contour Modeling
    • [stat.AP]Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma
    • [stat.AP]Semi-Supervised Record Linkage for Construction of Large-Scale Sociocentric Networks in Resource-limited Settings: An application to the SEARCH Study in Rural Uganda and Kenya
    • [stat.AP]Statistical Analysis of Modern Reliability Data
    • [stat.CO]MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure
    • [stat.ME]A Robust Generalization of the Rao Test
    • [stat.ME]Clarifying species dependence under joint species distribution modeling
    • [stat.ME]Disjunct Support Spike and Slab Priors for Variable Selection in Regression
    • [stat.ME]Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population
    • [stat.ME]Estimating Malaria Vaccine Efficacy in the Absence of a Gold Standard Case Definition: Mendelian Factorial Design
    • [stat.ME]Marginally-calibrated deep distributional regression
    • [stat.ME]Shapley Decomposition of R-Squared in Machine Learning Models
    • [stat.ME]Using the Prognostic Score to Reduce Heterogeneity in Observational Studies
    • [stat.ML]A deep artificial neural network based model for underlying cause of death prediction from death certificates
    • [stat.ML]Consistent Classification with Generalized Metrics
    • [stat.ML]Identification of Pediatric Sepsis Subphenotypes for Enhanced Machine Learning Predictive Performance: A Latent Profile Analysis
    • [stat.ML]Inference on weighted average value function in high-dimensional state space
    • [stat.ML]Locally Linear Image Structural Embedding for Image Structure Manifold Learning
    • [stat.ML]Normalizing Flows: Introduction and Ideas
    • [stat.ML]Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning
    • [stat.ML]Predicting the Long-Term Outcomes of Biologics in Psoriasis Patients Using Machine Learning
    • [stat.ML]Unsupervised Recalibration

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

    • [cs.AI]Learning Action Models from Disordered and Noisy Plan Traces
    Hankz Hankui Zhuo, Jing Peng, Subbarao Kambhampati
    http://arxiv.org/abs/1908.09800v1

    • [cs.CC]Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication
    Grzegorz Kwasniewski, Marko Kabić, Maciej Besta, Joost VandeVondele, Raffaele Solcà, Torsten Hoefler
    http://arxiv.org/abs/1908.09606v1

    • [cs.CL]A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers
    Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime G. Carbonell
    http://arxiv.org/abs/1908.08983v1

    • [cs.CL]A framework for anomaly detection using language modeling, and its applications to finance
    Armineh Nourbakhsh, Grace Bang
    http://arxiv.org/abs/1908.09156v1

    • [cs.CL]Adversarial Domain Adaptation for Machine Reading Comprehension
    Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang
    http://arxiv.org/abs/1908.09209v1

    • [cs.CL]An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation
    Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao
    http://arxiv.org/abs/1908.09605v1

    • [cs.CL]Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection
    Tal Schuster, Roei Schuster, Darsh J Shah, Regina Barzilay
    http://arxiv.org/abs/1908.09805v1

    • [cs.CL]Automatic Text Summarization of Legal Cases: A Hybrid Approach
    Varun Pandya
    http://arxiv.org/abs/1908.09119v1

    • [cs.CL]BERT for Coreference Resolution: Baselines and Analysis
    Mandar Joshi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer
    http://arxiv.org/abs/1908.09091v1

    • [cs.CL]DAST Model: Deciding About Semantic Complexity of a Text
    MohammadReza Besharati, Mohammad Izadi
    http://arxiv.org/abs/1908.09080v1

    • [cs.CL]Deploying Technology to Save Endangered Languages
    Hilaria Cruz, Joseph Waring
    http://arxiv.org/abs/1908.08971v1

    • [cs.CL]Detecting Toxicity in News Articles: Application to Bulgarian
    Yoan Dinkov, Ivan Koychev, Preslav Nakov
    http://arxiv.org/abs/1908.09785v1

    • [cs.CL]Domain Adaptive Text Style Transfer
    Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Ming-Ting Sun, Bill Dolan
    http://arxiv.org/abs/1908.09395v1

    • [cs.CL]Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
    Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su
    http://arxiv.org/abs/1908.09122v1

    • [cs.CL]Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
    Kang Min Yoo, Taeuk Kim, Sang-goo Lee
    http://arxiv.org/abs/1908.09282v1

    • [cs.CL]Efficient Bidirectional Neural Machine Translation
    Xu Tan, Yingce Xia, Lijun Wu, Tao Qin
    http://arxiv.org/abs/1908.09329v1

    • [cs.CL]Enhancing Neural Sequence Labeling with Position-Aware Self-Attention
    Wei Wei, Zanbo Wang, Xianling Mao, Guangyou Zhou, Pan Zhou, Sheng Jiang
    http://arxiv.org/abs/1908.09128v1

    • [cs.CL]Ensemble approach for natural language question answering problem
    Anna Aniol, Marcin Pietron
    http://arxiv.org/abs/1908.09720v1

    • [cs.CL]Hierarchically-Refined Label Attention Network for Sequence Labeling
    Leyang Cui, Yue Zhang
    http://arxiv.org/abs/1908.08676v2

    • [cs.CL]Low-Resource Name Tagging Learned with Weakly Labeled Data
    Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji
    http://arxiv.org/abs/1908.09659v1

    • [cs.CL]Measuring Patent Claim Generation by Span Relevancy
    Jieh-Sheng Lee, Jieh Hsiang
    http://arxiv.org/abs/1908.09591v1

    • [cs.CL]Multi-task Learning for Low-resource Second Language Acquisition Modeling
    Yong Hu, Heyan Huang, Tian Lan, Xiaochi Wei, Yuxiang Nie, Jiarui Qi, Liner Yang, Xian-Ling Mao
    http://arxiv.org/abs/1908.09283v1

    • [cs.CL]Multi-view Characterization of Stories from Narratives and Reviews using Multi-label Ranking
    Sudipta Kar, Gustavo Aguilar, Thamar Solorio
    http://arxiv.org/abs/1908.09083v1

    • [cs.CL]Multilingual Neural Machine Translation with Language Clustering
    Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu
    http://arxiv.org/abs/1908.09324v1

    • [cs.CL]Neural Text Summarization: A Critical Evaluation
    Wojciech Kryściński, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher
    http://arxiv.org/abs/1908.08960v1

    • [cs.CL]Neural data-to-text generation: A comparison between pipeline and end-to-end architectures
    Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer
    http://arxiv.org/abs/1908.09022v1

    • [cs.CL]On Measuring and Mitigating Biased Inferences of Word Embeddings
    Sunipa Dev, Tao Li, Jeff Phillips, Vivek Srikumar
    http://arxiv.org/abs/1908.09369v1

    • [cs.CL]Open Event Extraction from Online Text using a Generative Adversarial Network
    Rui Wang, Deyu Zhou, Yulan He
    http://arxiv.org/abs/1908.09246v1

    • [cs.CL]Partially-supervised Mention Detection
    Lesly Miculicich, James Henderson
    http://arxiv.org/abs/1908.09507v1

    • [cs.CL]Patient Knowledge Distillation for BERT Model Compression
    Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu
    http://arxiv.org/abs/1908.09355v1

    • [cs.CL]Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks
    Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung
    http://arxiv.org/abs/1908.09137v1

    • [cs.CL]Query-Based Named Entity Recognition
    Yuxian Meng, Xiaoya Li, Zijun Sun, Jiwei Li
    http://arxiv.org/abs/1908.09138v1

    • [cs.CL]Release Strategies and the Social Impacts of Language Models
    Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, Jasmine Wang
    http://arxiv.org/abs/1908.09203v1

    • [cs.CL]Rethinking Attribute Representation and Injection for Sentiment Classification
    Reinald Kim Amplayo
    http://arxiv.org/abs/1908.09590v1

    • [cs.CL]Semi-supervised Learning for Word Sense Disambiguation
    Darío Garigliotti
    http://arxiv.org/abs/1908.09641v1

    • [cs.CL]Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation
    Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke
    http://arxiv.org/abs/1908.09528v1

    • [cs.CL]Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation
    Alberto Poncelas, Gideon Maillette de Buy Wenniger, Andy Way
    http://arxiv.org/abs/1908.09532v1

    • [cs.CL]Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
    Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran
    http://arxiv.org/abs/1908.09368v1

    • [cs.CL]Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation
    Iulia Turc, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
    http://arxiv.org/abs/1908.08962v1

    • [cs.CL]uniblock: Scoring and Filtering Corpus with Unicode Block Information
    Yingbo Gao, Weiyue Wang, Hermann Ney
    http://arxiv.org/abs/1908.09716v1

    • [cs.CR]A universally verifiable, software independent, bare-handed voting protocol
    Prashant Agrawal, Kabir Tomer, Subodh Sharma, Subhashis Banerjee
    http://arxiv.org/abs/1908.09557v1

    • [cs.CR]Internet of Things Enabled Policing Processes
    Francesco Schiliro
    http://arxiv.org/abs/1908.09232v1

    • [cs.CV]A Comparison of CNN and Classic Features for Image Retrieval
    Umut Özaydın, Theodoros Georgiou, Michael Lew
    http://arxiv.org/abs/1908.09300v1

    • [cs.CV]A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification
    Zhong Ji, Xuejie Yu, Yunlong Yu, Yanwei Pang, Zhongfei Zhang
    http://arxiv.org/abs/1908.09745v1

    • [cs.CV]A Statistical Defense Approach for Detecting Adversarial Examples
    Alessandro Cennamo, Ido Freeman, Anton Kummert
    http://arxiv.org/abs/1908.09705v1

    • [cs.CV]Adaptive Embedding Gate for Attention-Based Scene Text Recognition
    Xiaoxue Chen, Tianwei Wang, Yuanzhi Zhu, Lianwen Jin, Canjie Luo
    http://arxiv.org/abs/1908.09475v1

    • [cs.CV]An Evaluation of Feature Matchers forFundamental Matrix Estimation
    Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid
    http://arxiv.org/abs/1908.09474v1

    • [cs.CV]Camera Pose Correction in SLAM Based on Bias Values of Map Points
    Zhaobing Kang, Wei Zou, Zheng Zhu
    http://arxiv.org/abs/1908.09072v1

    • [cs.CV]Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
    Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, Gang Yu
    http://arxiv.org/abs/1908.09492v1

    • [cs.CV]CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention
    Hafeez Anwar, Saeed Anwar, Sebastian Zambanini, Fatih Porikli
    http://arxiv.org/abs/1908.09428v1

    • [cs.CV]Conditional Flow Variational Autoencoders for Structured Sequence Prediction
    Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz, Bernt Schiele, Christoph-Nikolas Straehle
    http://arxiv.org/abs/1908.09008v1

    • [cs.CV]Confidence Regularized Self-Training
    Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang
    http://arxiv.org/abs/1908.09822v1

    • [cs.CV]Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
    Qing Lian, Fengmao Lv, Lixin Duan, Boqing Gong
    http://arxiv.org/abs/1908.09547v1

    • [cs.CV]Customizable Architecture Search for Semantic Segmentation
    Yiheng Zhang, Zhaofan Qiu, Jingen Liu, Ting Yao, Dong Liu, Tao Mei
    http://arxiv.org/abs/1908.09550v1

    • [cs.CV]Deep Closed-Form Subspace Clustering
    Junghoon Seo, Jamyoung Koo, Taegyun Jeon
    http://arxiv.org/abs/1908.09419v1

    • [cs.CV]Deep Concept-wise Temporal Convolutional Networks for Action Localization
    Xin Li, Tianwei Lin, Xiao Liu, Chuang Gan, Wangmeng Zuo, Chao Li, Xiang Long, Dongliang He, Fu Li, Shilei Wen
    http://arxiv.org/abs/1908.09442v1

    • [cs.CV]Depth-AGMNet: an Atrous Granular Multiscale Stereo Network Based on Depth Edge Auxiliary Task
    Weida Yang
    http://arxiv.org/abs/1908.09346v1

    • [cs.CV]Don’t ignore Dropout in Fully Convolutional Networks
    Thomas Spilsbury, Paavo Camps
    http://arxiv.org/abs/1908.09162v1

    • [cs.CV]Dynamic Kernel Distillation for Efficient Pose Estimation in Videos
    Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng
    http://arxiv.org/abs/1908.09216v1

    • [cs.CV]Efficient Learning on Point Clouds with Basis Point Sets
    Sergey Prokudin, Christoph Lassner, Javier Romero
    http://arxiv.org/abs/1908.09186v1

    • [cs.CV]Embarrassingly Simple Binary Representation Learning
    Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu
    http://arxiv.org/abs/1908.09573v1

    • [cs.CV]End-To-End Measure for Text Recognition
    Gundram Leifert, Roger Labahn, Tobias Grüning, Svenja Leifert
    http://arxiv.org/abs/1908.09584v1

    • [cs.CV]Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos
    Junpeng Zhang, Xiuping Jia, Jiankun Hu
    http://arxiv.org/abs/1908.09539v1

    • [cs.CV]EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding
    Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich
    http://arxiv.org/abs/1908.09060v1

    • [cs.CV]Gated Convolutional Networks with Hybrid Connectivity for Image Classification
    Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kaiqiang Xu, Chao Li, Boyu Diao, Yongjun Xu
    http://arxiv.org/abs/1908.09699v1

    • [cs.CV]Generator evaluator-selector net: a modular approach for panoptic segmentation
    Sagi Eppel, Aspuru-Guzik
    http://arxiv.org/abs/1908.09108v1

    • [cs.CV]Learning Disentangled Representations via Independent Subspaces
    Maren Awiszus, Hanno Ackermann, Bodo Rosenhahn
    http://arxiv.org/abs/1908.08989v1

    • [cs.CV]Learning adaptively from the unknown for few-example video person re-ID
    Jian Han
    http://arxiv.org/abs/1908.09340v1

    • [cs.CV]Mocycle-GAN: Unpaired Video-to-Video Translation
    Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei
    http://arxiv.org/abs/1908.09514v1

    • [cs.CV]Multi-Channel Neural Network for Assessing Neonatal Pain from Videos
    Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
    http://arxiv.org/abs/1908.09254v1

    • [cs.CV]Multi-Path Learnable Wavelet Neural Network for Image Classification
    D. D. N. De Silva, H. W. M. K. Vithanage, K. S. D. Fernando, I. T. S. Piyatilake
    http://arxiv.org/abs/1908.09775v1

    • [cs.CV]No Fear of the Dark: Image Retrieval under Varying Illumination Conditions
    Tomas Jenicek, Ondřej Chum
    http://arxiv.org/abs/1908.08999v1

    • [cs.CV]Non-local Recurrent Neural Memory for Supervised Sequence Modeling
    Canmiao Fu, Wenjie Pei, Qiong Cao, Chaopeng Zhang, Yong Zhao, Xiaoyong Shen, Yu-Wing Tai
    http://arxiv.org/abs/1908.09535v1

    • [cs.CV]Object-Driven Multi-Layer Scene Decomposition From a Single Image
    Helisa Dhamo, Nassir Navab, Federico Tombari
    http://arxiv.org/abs/1908.09521v1

    • [cs.CV]Relation Distillation Networks for Video Object Detection
    Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, Tao Mei
    http://arxiv.org/abs/1908.09511v1

    • [cs.CV]Residual Objectness for Imbalance Reduction
    Joya Chen, Dong Liu, Bin Luo, Xuezheng Peng, Tong Xu, Enhong Chen
    http://arxiv.org/abs/1908.09075v1

    • [cs.CV]Robust Regression via Deep Negative Correlation Learning
    Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng
    http://arxiv.org/abs/1908.09066v1

    • [cs.CV]SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification
    Yan Huang, Qiang Wu, JingSong Xu, Yi Zhong
    http://arxiv.org/abs/1908.09086v1

    • [cs.CV]SPGNet: Semantic Prediction Guidance for Scene Parsing
    Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas Huang, Wen-Mei Hwu, Honghui Shi
    http://arxiv.org/abs/1908.09798v1

    • [cs.CV]See More Than Once — Kernel-Sharing Atrous Convolution for Semantic Segmentation
    Ye Huang, Qingqing Wang, Wenjing Jia, Xiangjian He
    http://arxiv.org/abs/1908.09443v1

    • [cs.CV]SeesawFaceNets: sparse and robust face verification model for mobile platform
    Jintao Zhang
    http://arxiv.org/abs/1908.09124v1

    • [cs.CV]Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images
    Junbang Liang, Ming C. Lin
    http://arxiv.org/abs/1908.09464v1

    • [cs.CV]Single-Stage Multi-Person Pose Machines
    Xuecheng Nie, Jianfeng Zhang, Shuicheng Yan, Jiashi Feng
    http://arxiv.org/abs/1908.09220v1

    • [cs.CV]Situational Fusion of Visual Representation for Visual Navigation
    William B. Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-Fei, Silvio Savarese
    http://arxiv.org/abs/1908.09073v1

    • [cs.CV]SliderGAN: Synthesizing Expressive Face Images by Sliding 3D Blendshape Parameters
    Evangelos Ververas, Stefanos Zafeiriou
    http://arxiv.org/abs/1908.09638v1

    • [cs.CV]Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
    Felix J. S. Bragman, Ryutaro Tanno, Sebastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso
    http://arxiv.org/abs/1908.09597v1

    • [cs.CV]Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower
    Giorgos Tolias, Filip Radenovic, Ond{ř}ej Chum
    http://arxiv.org/abs/1908.09163v1

    • [cs.CV]Texture and Structure Two-view Classification of Images
    Samah Khawaled, Michael Zibulevsky, Yehoshua Y. Zeevi
    http://arxiv.org/abs/1908.09264v1

    • [cs.CV]Towards Unconstrained End-to-End Text Spotting
    Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao
    http://arxiv.org/abs/1908.09231v1

    • [cs.CV]Towards Unsupervised Image Captioning with Shared Multimodal Embeddings
    Iro Laina, Christian Rupprecht, Nassir Navab
    http://arxiv.org/abs/1908.09317v1

    • [cs.CV]Uncertainty-Aware Anticipation of Activities
    Yazan Abu Farha, Juergen Gall
    http://arxiv.org/abs/1908.09540v1

    • [cs.CV]Where Is My Mirror?
    Xin Yang, Haiyang Mei, Ke Xu, Xiaopeng Wei, Baocai Yin, Rynson W. H. Lau
    http://arxiv.org/abs/1908.09101v1

    • [cs.CV]advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
    Zhibo Wang, Siyan Zheng, Mengkai Song, Qian Wang, Alireza Rahimpourz, Hairong Qi
    http://arxiv.org/abs/1908.09327v1

    • [cs.CY]Experiments in Social Media
    Toby Walsh
    http://arxiv.org/abs/1908.09097v1

    • [cs.DB]Ontology alignment: A Content-Based Bayesian Approach
    Vladimir Menkov, Paul Kantor
    http://arxiv.org/abs/1908.09205v1

    • [cs.DC]Extending TensorFlow’s Semantics with Pipelined Execution
    Sam Whitlock, James Larus, Edouard Bugnion
    http://arxiv.org/abs/1908.09291v1

    • [cs.DC]Low-Congestion Shortcut and Graph Parameters
    Naoki Kitamura, Hirotaka Kitagawa, Yota Otachi, Taisuke Izumi
    http://arxiv.org/abs/1908.09473v1

    • [cs.DC]Towards Secure and Decentralized Sharing of IoT Data
    Hien Thi Thu Truong, Miguel Almeida, Ghassan Karame, Claudio Soriente
    http://arxiv.org/abs/1908.09015v1

    • [cs.DL]Annals of Library and Information Studies. A bibliometric analysis of the journal and a comparison with the top library and information studies journals in Asia and worldwide (2011_2017)
    Juan Jose Prieto-Gutierrez, Francisco Segado-Boj
    http://arxiv.org/abs/1908.09541v1

    • [cs.DM]Local Graph Stability in Exponential Family Random Graph Models
    Yue Yu, Gianmarc Grazioli, Nolan E. Phillips, Carter T. Butts
    http://arxiv.org/abs/1908.09470v1

    • [cs.DS]A Center in Your Neighborhood: Fairness in Facility Location
    Christopher Jung, Sampath Kannan, Neil Lutz
    http://arxiv.org/abs/1908.09041v1

    • [cs.IR]Attentive History Selection for Conversational Question Answering
    Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer
    http://arxiv.org/abs/1908.09456v1

    • [cs.IR]Improving Outfit Recommendation with Co-supervision of Fashion Generation
    Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke
    http://arxiv.org/abs/1908.09104v1

    • [cs.IR]Successive Point-of-Interest Recommendation with Local Differential Privacy
    Jong Seon Kim, Jong Wook Kim, Yon Dohn Chung
    http://arxiv.org/abs/1908.09485v1

    • [cs.IT]A Millimeter-Wave Channel Simulator NYUSIM with Spatial Consistency and Human Blockage
    Shihao Ju, Ojas Kanhere, Yunchou Xing, Theodore S. Rappaport
    http://arxiv.org/abs/1908.09762v1

    • [cs.IT]ADMM Enabled Hybrid Precoding in Wideband Distributed Phased Arrays Based MIMO Systems
    Yu Zhang, Yiming Huo, Jinlong Zhan, Dongming Wang, Xiaodai Dong, Xiaohu You
    http://arxiv.org/abs/1908.09090v1

    • [cs.IT]Babel Storage: Uncoordinated Content Delivery from Multiple Coded Storage Systems
    Joachim Neu, Muriel Médard
    http://arxiv.org/abs/1908.09271v1

    • [cs.IT]From sequential decoding to channel polarization and back again
    Erdal Arıkan
    http://arxiv.org/abs/1908.09594v1

    • [cs.IT]Fundamentals of Drone Cellular Network Analysis under Random Waypoint Mobility Model
    Morteza Banagar, Harpreet S. Dhillon
    http://arxiv.org/abs/1908.09064v1

    • [cs.IT]Map-Assisted Millimeter Wave Localization for Accurate Position Location
    Ojas Kanhere, Shihao Ju, Yunchou Xing, Theodore S. Rappaport
    http://arxiv.org/abs/1908.09773v1

    • [cs.IT]On Parameter Optimization of Product Codes for Iterative Bounded Distance Decoding with Scaled Reliability
    Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva, Alex Alvarado
    http://arxiv.org/abs/1908.09502v1

    • [cs.IT]Relation between the Kantorovich-Wasserstein metric and the Kullback-Leibler divergence
    Roman V. Belavkin
    http://arxiv.org/abs/1908.09211v1

    • [cs.IT]Simultaneous Wireless Information and Power Transfer for Decode-and-Forward Multi-Hop Relay Systems in Energy-Constrained IoT Networks
    Asiedu Derek Kwaku Pobi, Lee Hoon, Lee Kyoung-Jae
    http://arxiv.org/abs/1908.09270v1

    • [cs.IT]Two High-Performance Amplitude Beamforming Schemes for Secure Precise Communication and Jamming with Phase Alignment
    Lingling Zhu, Feng Shu, Tong Shen
    http://arxiv.org/abs/1908.09244v1

    • [cs.LG]A Method for Estimating the Proximity of Vector Representation Groups in Multidimensional Space. On the Example of the Paraphrase Task
    A. Artemov, B. Alekseev
    http://arxiv.org/abs/1908.09341v1

    • [cs.LG]A Probabilistic Representation of Deep Learning
    Xinjie Lan, Kenneth E. Barner
    http://arxiv.org/abs/1908.09772v1

    • [cs.LG]Adversarial Edit Attacks for Tree Data
    Benjamin Paaßen
    http://arxiv.org/abs/1908.09364v1

    • [cs.LG]Almost Tune-Free Variance Reduction
    Bingcong Li, Lingda Wang, Georgios B. Giannakis
    http://arxiv.org/abs/1908.09345v1

    • [cs.LG]An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises
    Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia
    http://arxiv.org/abs/1908.09788v1

    • [cs.LG]Bayesian Nonparametrics for Non-exhaustive Learning
    Yicheng Cheng, Bartek Rajwa, Murat Dundar
    http://arxiv.org/abs/1908.09736v1

    • [cs.LG]Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks
    Juan Maroñas, Roberto Paredes, Daniel Ramos
    http://arxiv.org/abs/1908.08972v1

    • [cs.LG]Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning
    Mimansa Jaiswal, Zakaria Aldeneh, Emily Mower Provost
    http://arxiv.org/abs/1908.08979v1

    • [cs.LG]DGSAN: Discrete Generative Self-Adversarial Network
    Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah
    http://arxiv.org/abs/1908.09127v1

    • [cs.LG]Demystifying the MLPerf Benchmark Suite
    Snehil Verma, Qinzhe Wu, Bagus Hanindhito, Gunjan Jha, Eugene B. John, Ramesh Radhakrishnan, Lizy K. John
    http://arxiv.org/abs/1908.09207v1

    • [cs.LG]Deriving a Quantitative Relationship Between Resolution and Human Classification Error
    Josiah I. Clark, Caroline A. Clark
    http://arxiv.org/abs/1908.09183v1

    • [cs.LG]Differentiable Product Quantization for End-to-End Embedding Compression
    Ting Chen, Yizhou Sun
    http://arxiv.org/abs/1908.09756v1

    • [cs.LG]Dynamics-aware Embeddings
    William Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta
    http://arxiv.org/abs/1908.09357v1

    • [cs.LG]EPP: interpretable score of model predictive power
    Alicja Gosiewska, Mateusz Bakala, Katarzyna Woznica, Maciej Zwolinski, Przemyslaw Biecek
    http://arxiv.org/abs/1908.09213v1

    • [cs.LG]Exploring the Performance of Deep Residual Networks in Crazyhouse Chess
    Sun-Yu Gordon Chi
    http://arxiv.org/abs/1908.09296v1

    • [cs.LG]Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data
    Dylan Slack, Sorelle Friedler, Emile Givental
    http://arxiv.org/abs/1908.09092v1

    • [cs.LG]Generalizing Psychological Similarity Spaces to Unseen Stimuli
    Lucas Bechberger, Kai-Uwe Kühnberger
    http://arxiv.org/abs/1908.09260v1

    • [cs.LG]Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms
    Liqun Shao, Yiwen Zhu, Abhiram Eswaran, Kristin Lieber, Janhavi Mahajan, Minsoo Thigpen, Sudhir Darbha, Siqi Liu, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos
    http://arxiv.org/abs/1908.09048v1

    • [cs.LG]Heterogeneous Relational Kernel Learning
    Andre T. Nguyen, Edward Raff
    http://arxiv.org/abs/1908.09219v1

    • [cs.LG]Improvability Through Semi-Supervised Learning: A Survey of Theoretical Results
    Alexander Mey, Marco Loog
    http://arxiv.org/abs/1908.09574v1

    • [cs.LG]Improving Neural Story Generation by Targeted Common Sense Grounding
    Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian McAuley, Garrison W. Cottrell
    http://arxiv.org/abs/1908.09451v1

    • [cs.LG]LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm
    Ziyu Liu, Guolin Ke, Jiang Bian, Tieyan Liu
    http://arxiv.org/abs/1908.09362v1

    • [cs.LG]On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach
    Weizhong Yan, Lijie Yu
    http://arxiv.org/abs/1908.09238v1

    • [cs.LG]Once for All: Train One Network and Specialize it for Efficient Deployment
    Han Cai, Chuang Gan, Song Han
    http://arxiv.org/abs/1908.09791v1

    • [cs.LG]Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?
    Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh
    http://arxiv.org/abs/1908.09625v1

    • [cs.LG]OpenSpiel: A Framework for Reinforcement Learning in Games
    Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinicius Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis
    http://arxiv.org/abs/1908.09453v1

    • [cs.LG]Optimal best arm selection for general distributions
    Shubhada Agrawal, Sandeep Juneja, Peter Glynn
    http://arxiv.org/abs/1908.09094v1

    • [cs.LG]Pareto-optimal data compression for binary classification tasks
    Max Tegmark, Tailin Wu
    http://arxiv.org/abs/1908.08961v1

    • [cs.LG]Preventing the Generation of Inconsistent Sets of Classification Rules
    Thiago Zafalon Miranda, Diorge Brognara Sardinha, Ricardo Cerri
    http://arxiv.org/abs/1908.09652v1

    • [cs.LG]RandNet: deep learning with compressed measurements of images
    Thomas Chang, Bahareh Tolooshams, Demba Ba
    http://arxiv.org/abs/1908.09258v1

    • [cs.LG]Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
    Najibesadat Sadati, Milad Zafar Nezhad, Ratna Babu Chinnam, Dongxiao Zhu
    http://arxiv.org/abs/1908.09174v1

    • [cs.LG]Scalable Probabilistic Matrix Factorization with Graph-Based Priors
    Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski
    http://arxiv.org/abs/1908.09393v1

    • [cs.LG]Supporting stylists by recommending fashion style
    Tobias Kuhn, Steven Bourke, Levin Brinkmann, Tobias Buchwald, Conor Digan, Hendrik Hache, Sebastian Jaeger, Patrick Lehmann, Oskar Maier, Stefan Matting, Yura Okulovsky
    http://arxiv.org/abs/1908.09493v1

    • [cs.LG]Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization
    Tomaso Poggio, Andrzej Banburski, Qianli Liao
    http://arxiv.org/abs/1908.09375v1

    • [cs.LG]Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning
    Xudong Sun, Bernd Bischl
    http://arxiv.org/abs/1908.09381v1

    • [cs.LG]Unsupervised Construction of Knowledge Graphs From Text and Code
    Kun Cao, James Fairbanks
    http://arxiv.org/abs/1908.09354v1

    • [cs.LG]Variational Graph Recurrent Neural Networks
    Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R Narayanan, Mingyuan Zhou, Xiaoning Qian
    http://arxiv.org/abs/1908.09710v1

    • [cs.LG]Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs
    Victor Gallego, David Rios Insua
    http://arxiv.org/abs/1908.09744v1

    • [cs.MA]Dynamic Term-Modal Logic for Epistemic Social Network Dynamics (Extended Version)
    Andrés Occhipinti Liberman, Rasmus K. Rendsvig
    http://arxiv.org/abs/1908.09658v1

    • [cs.NI]Semantically Intelligent Distributed Leader Election (SIDLE) Algorithm for WSAN Part of IoT Systems
    Parsa Rajabzadeh, Amin Pishevar, Hamed Rahimi
    http://arxiv.org/abs/1908.09042v1

    • [cs.RO]A Planning Framework for Persistent, Multi-UAV Coverage with Global Deconfliction
    Tushar Kusnur, Shohin Mukherjee, Dhruv Mauria Saxena, Tomoya Fukami, Takayuki Koyama, Oren Salzman, Maxim Likhachev
    http://arxiv.org/abs/1908.09236v1

    • [cs.RO]Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
    Jiachen Li, Wei Zhan, Yeping Hu, Masayoshi Tomizuka
    http://arxiv.org/abs/1908.09031v1

    • [cs.RO]High Performance Visual Object Tracking with Unified Convolutional Networks
    Zheng Zhu, Wei Zou, Guan Huang, Dalong Du, Chang Huang
    http://arxiv.org/abs/1908.09445v1

    • [cs.RO]Planning Beyond the Sensing Horizon Using a Learned Context
    Michael Everett, Justin Miller, Jonathan P. How
    http://arxiv.org/abs/1908.09171v1

    • [cs.RO]Tech Report: Efficient and Exact Collision Detection for Circular Agents
    Thayne Walker
    http://arxiv.org/abs/1908.09707v1

    • [cs.SD]Improving Automatic Jazz Melody Generation by Transfer Learning Techniques
    Hsiao-Tzu Hung, Chung-Yang Wang, Yi-Hsuan Yang, Hsin-Min Wang
    http://arxiv.org/abs/1908.09484v1

    • [cs.SI]Approximation Algorithms for Coordinating Ad Campaigns on Social Networks
    Kartik Lakhotia, David Kempe
    http://arxiv.org/abs/1908.09185v1

    • [cs.SI]Competitive Information Spread with Confirmation Bias in Cyber-Social Networks
    Yanbing Mao, Emrah Akyol
    http://arxiv.org/abs/1908.09812v1

    • [cs.SI]Graph Embedding Based Hybrid Social Recommendation System
    Vishwas Sathish, Tanya Mehrotra, Simran Dhinwa, Bhaskarjyoti Das
    http://arxiv.org/abs/1908.09454v1

    • [cs.SI]Hyper-Path-Based Representation Learning for Hyper-Networks
    Jie Huang, Xin Liu, Yangqiu Song
    http://arxiv.org/abs/1908.09152v1

    • [cs.SI]Intellectual and social similarity among scholarly journals: an exploratory comparison of the networks of editors, authors and co-citations
    Alberto Baccini, Lucio Barabesi, Mahdi Kelfaoui, Yves Gingras
    http://arxiv.org/abs/1908.09120v1

    • [cs.SI]Motif Enhanced Recommendation over Heterogeneous Information Network
    Huan Zhao, Yingqi Zhou, Yangqiu Song, Dik Lun Lee
    http://arxiv.org/abs/1908.09701v1

    • [cs.SI]NETR-Tree: An Eifficient Framework for Social-Based Time-Aware Spatial Keyword Query
    Zhixian Yang, Yuanning Gao, Xiaofeng Gao, Guihai Chen
    http://arxiv.org/abs/1908.09520v1

    • [cs.SI]On Inference of Network Topology and Confirmation Bias in Cyber-Social Networks
    Yanbing Mao, Emrah Akyol
    http://arxiv.org/abs/1908.09472v1

    • [cs.SI]Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models
    Jane Carlen, Jaume de Dios Pont, Cassidy Mentus, Shyr-Shea Chang, Stephanie Wang, Mason A. Porter
    http://arxiv.org/abs/1908.09440v1

    • [econ.EM]Dyadic Regression
    Bryan S. Graham
    http://arxiv.org/abs/1908.09029v1

    • [econ.EM]The Ridge Path Estimator for Linear Instrumental Variables
    Nandana Sengupta, Fallaw Sowell
    http://arxiv.org/abs/1908.09237v1

    • [eess.AS]Connecting and Comparing Language Model Interpolation Techniques
    Ernest Pusateri, Christophe Van Gysel, Rami Botros, Sameer Badaskar, Mirko Hannemann, Youssef Oualil, Ilya Oparin
    http://arxiv.org/abs/1908.09738v1

    • [eess.AS]Nearest Neighbor Search-Based Bitwise Source Separation Using Discriminant Winner-Take-All Hashing
    Sunwoo Kim, Minje Kim
    http://arxiv.org/abs/1908.09799v1

    • [eess.IV]A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification
    Rui Li, Zhibin Pan, Yang Wang, Ping Wang
    http://arxiv.org/abs/1908.09526v1

    • [eess.IV]Accelerated Motion-Aware MR Imaging via Motion Prediction from K-Space Center
    Christoph Jud, Damien Nguyen, Alina Giger, Robin Sandkühler, Miriam Krieger, Tony Lomax, Rares Salomir, Oliver Bieri, Philippe C. Cattin
    http://arxiv.org/abs/1908.09560v1

    • [eess.IV]Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation
    Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern Menze
    http://arxiv.org/abs/1908.09298v1

    • [eess.IV]Customized OCT images compression scheme with deep neural network
    Pengfei Guo, Dawei Li, Xingde Li
    http://arxiv.org/abs/1908.09215v1

    • [eess.IV]CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry
    Sungjun Lim, Sang-Eun Lee, Sunghoe Chang, Jong Chul Ye
    http://arxiv.org/abs/1908.09414v1

    • [eess.IV]Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing
    Sivalogeswaran Ratnasingam
    http://arxiv.org/abs/1908.09191v1

    • [eess.IV]Estimation of preterm birth markers with U-Net segmentation network
    Tomasz Włodarczyk, Szymon Płotka, Tomasz Trzciński, Przemysław Rokita, Nicole Sochacki-Wójcicka, Michał Lipa, Jakub Wójcicki
    http://arxiv.org/abs/1908.09148v1

    • [eess.IV]Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network
    Sahar Yousefi, Lydiane Hirschler, Merlijn van der Plas, Mohamed S. Elmahdy, Hessam Sokooti, Matthias Van Osch, Marius Staring
    http://arxiv.org/abs/1908.08947v1

    • [eess.IV]LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset
    Shanshan Wang, Yanxia Chen, Taohui Xiao, Ziwen Ke, Qiegen Liu, Hairong Zheng
    http://arxiv.org/abs/1908.09140v1

    • [eess.IV]Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos
    Zihan Liu, Bo Huang, Yuqi Cui, Yifan Xu, Bo Zhang, Lixia Zhu, Yang Wang, Lei Jin, Dongrui Wu
    http://arxiv.org/abs/1908.09637v1

    • [eess.IV]Principal Component Analysis Using Structural Similarity Index for Images
    Benyamin Ghojogh, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/1908.09287v1

    • [eess.IV]Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction
    Balamurali Murugesan, Vijaya Raghavan S, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam
    http://arxiv.org/abs/1908.09262v1

    • [eess.IV]Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation
    Ozan Öktem, Camille Pouchol, Olivier Verdier
    http://arxiv.org/abs/1908.09515v1

    • [eess.SP]Indoor Wireless Channel Properties at Millimeter Wave and Sub-Terahertz Frequencies
    Yunchou Xing, Ojas Kanhere, Shihao Ju, Theodore S. Rappaport
    http://arxiv.org/abs/1908.09765v1

    • [eess.SP]Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning
    Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang
    http://arxiv.org/abs/1908.09049v1

    • [eess.SP]Multichannel signal detection in interference and noise when signal mismatch happens
    Weijian Liu, Jun Liu, Yongchan Gao, Guoshi Wang, Yong-Liang Wang
    http://arxiv.org/abs/1908.09431v1

    • [eess.SP]Resource Allocation for Non-Orthogonal Multiple Access (NOMA) Enabled LPWA Networks
    Kaihan Li, Fatma Benkhelifa, Julie McCann
    http://arxiv.org/abs/1908.09336v1

    • [eess.SY]Novel Stealthy Attack and Defense Strategies for Networked Control Systems
    Yanbing Mao, Hamidreza Jafarnejadsani, Pan Zhao, Emrah Akyol, Naira Hovakimyan
    http://arxiv.org/abs/1908.09466v1

    • [math.DG]Riemannian Geometry of Symmetric Positive Definite Matrices via Cholesky Decomposition
    Zhenhua Lin
    http://arxiv.org/abs/1908.09326v1

    • [math.FA]The Hájek-Rényi-Chow maximal inequality and a strong law of large numbers in Riesz spaces
    Wen-Chi Kuo, David F. Rodda, Bruce A. Watson
    http://arxiv.org/abs/1908.09012v1

    • [math.OC]KL property of exponent $1/2$ of $\ell_{2,0}$-norm and DC regularized factorizations for low-rank matrix recovery
    Shujun Bi, Ting Tao, Shaohua Pan
    http://arxiv.org/abs/1908.09078v1

    • [math.OC]Optimal Heterogeneous Asset Location Modeling for Expected Spatiotemporal Search and Rescue Demands using Historic Event Data
    Zachary T. Hornberger, Bruce A. Cox, Brian J. Lunday
    http://arxiv.org/abs/1908.08970v1

    • [math.ST]Identifiability of asymmetric circular and cylindrical distributions
    Yoichi Miyata, Takayuki Shiohama, Toshihiro Abe
    http://arxiv.org/abs/1908.09114v1

    • [math.ST]The Identification Problem for Linear Rational Expectations Models
    Majid M. Al-Sadoon, Piotr Zwiernik
    http://arxiv.org/abs/1908.09617v1

    • [physics.soc-ph]Football is becoming boring; Network analysis of 88 thousands matches in 11 major leagues
    Victor Martins Maimone, Taha Yasseri
    http://arxiv.org/abs/1908.08991v1

    • [q-bio.GN]Fusing heterogeneous data sets
    Yipeng Song
    http://arxiv.org/abs/1908.09653v1

    • [q-bio.QM]Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis
    Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Andreas M. Loening, Jeanne Shen, James D. Brooks, Curtis P. Langlotz, Daniel L. Rubin
    http://arxiv.org/abs/1908.09067v1

    • [stat.AP]Evaluating probabilistic forecasts of football matches: The case against the Ranked Probability Score
    Edward Wheatcroft
    http://arxiv.org/abs/1908.08980v1

    • [stat.AP]Geographically Weighted Cox Regression for Prostate Cancer Survival Data in Louisiana
    Yishu Xue, Elizabeth D. Schifano, Guanyu Hu
    http://arxiv.org/abs/1908.09071v1

    • [stat.AP]Probabilistic Forecasting of the Arctic Sea Ice Edge with Contour Modeling
    Hannah M. Director, Adrian E. Raftery, Cecilia M. Bitz
    http://arxiv.org/abs/1908.09377v1

    • [stat.AP]Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma
    Samuel I. Berchuck, Felipe A. Medeiros, Sayan Mukherjee
    http://arxiv.org/abs/1908.09195v1

    • [stat.AP]Semi-Supervised Record Linkage for Construction of Large-Scale Sociocentric Networks in Resource-limited Settings: An application to the SEARCH Study in Rural Uganda and Kenya
    Yiqun Chen, Wenjing Zheng, Lillian B. Brown, Gabriel Chamie, Dalsone Kwarisiima, Jane Kabami, Tamara D. Clark, Norton Sang, James Ayieko, Edwin D. Charlebois, Vivek Jain, Laura Balzer, Moses R Kamya, Diane Havlir, Maya Petersen, the SEARCH Collaboration
    http://arxiv.org/abs/1908.09059v1

    • [stat.AP]Statistical Analysis of Modern Reliability Data
    Yueyao Wang, I-Chen Lee, Lu Lu, Yili Hong
    http://arxiv.org/abs/1908.09729v1

    • [stat.CO]MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure
    X. T. Tong, M. Morzfeld, Y. M. Marzouk
    http://arxiv.org/abs/1908.09429v1

    • [stat.ME]A Robust Generalization of the Rao Test
    Ayanendranath Basu, Abhik Ghosh, Nirian Martin, Leandro Pardo
    http://arxiv.org/abs/1908.09794v1

    • [stat.ME]Clarifying species dependence under joint species distribution modeling
    Alan E. Gelfand, Shinichiro Shirota
    http://arxiv.org/abs/1908.09410v1

    • [stat.ME]Disjunct Support Spike and Slab Priors for Variable Selection in Regression
    Daniel Andrade, Kenji Fukumizu
    http://arxiv.org/abs/1908.09112v1

    • [stat.ME]Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population
    Issa J. Dahabreh, Jon A. Steingrimsson, Sarah E. Robertson, Lucia C. Petito, Miguel A. Hernán
    http://arxiv.org/abs/1908.09230v1

    • [stat.ME]Estimating Malaria Vaccine Efficacy in the Absence of a Gold Standard Case Definition: Mendelian Factorial Design
    Raiden B. Hasegawa, Dylan S. Small
    http://arxiv.org/abs/1908.09425v1

    • [stat.ME]Marginally-calibrated deep distributional regression
    Nadja Klein, David J. Nott, Michael Stanley Smith
    http://arxiv.org/abs/1908.09482v1

    • [stat.ME]Shapley Decomposition of R-Squared in Machine Learning Models
    Nickalus Redell
    http://arxiv.org/abs/1908.09718v1

    • [stat.ME]Using the Prognostic Score to Reduce Heterogeneity in Observational Studies
    Rachael C. Aikens, Dylan Greaves, Michael Baiocchi
    http://arxiv.org/abs/1908.09077v1

    • [stat.ML]A deep artificial neural network based model for underlying cause of death prediction from death certificates
    Louis Falissard, Claire Morgand, Sylvie Roussel, Claire Imbaud, Walid Ghosn, Karim Bounebache, Grégoire Rey
    http://arxiv.org/abs/1908.09712v1

    • [stat.ML]Consistent Classification with Generalized Metrics
    Xiaoyan Wang, Ran Li, Bowei Yan, Oluwasanmi Koyejo
    http://arxiv.org/abs/1908.09057v1

    • [stat.ML]Identification of Pediatric Sepsis Subphenotypes for Enhanced Machine Learning Predictive Performance: A Latent Profile Analysis
    Tom Velez, Tony Wang, Ioannis Koutroulis, James Chamberlain, Amit Uppal, Seife Yohannes, Tim Tschampel, Emilia Apostolova
    http://arxiv.org/abs/1908.09038v1

    • [stat.ML]Inference on weighted average value function in high-dimensional state space
    Victor Chernozhukov, Whitney Newey, Vira Semenova
    http://arxiv.org/abs/1908.09173v1

    • [stat.ML]Locally Linear Image Structural Embedding for Image Structure Manifold Learning
    Benyamin Ghojogh, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/1908.09288v1

    • [stat.ML]Normalizing Flows: Introduction and Ideas
    Ivan Kobyzev, Simon Prince, Marcus A. Brubaker
    http://arxiv.org/abs/1908.09257v1

    • [stat.ML]Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning
    Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara
    http://arxiv.org/abs/1908.09222v1

    • [stat.ML]Predicting the Long-Term Outcomes of Biologics in Psoriasis Patients Using Machine Learning
    Sepideh Emam, Amy X. Du, Philip Surmanowicz, Simon F. Thomsen, Russ Greiner, Robert Gniadecki
    http://arxiv.org/abs/1908.09251v1

    • [stat.ML]Unsupervised Recalibration
    Albert Ziegler, Paweł Czyż
    http://arxiv.org/abs/1908.09157v1