cond-mat.stat-mech - 统计数学

    cs.AI - 人工智能 cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 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.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.stat-mech]Spectral theory for the stability of dynamical systems on large oriented locally tree-like graphs
    • [cs.AI]LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules
    • [cs.CG]Continuous Toolpath Planning in Additive Manufacturing
    • [cs.CL]ARAML: A Stable Adversarial Training Framework for Text Generation
    • [cs.CL]CA-EHN: Commonsense Word Analogy from E-HowNet
    • [cs.CL]CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
    • [cs.CL]CatE: Category-Name GuidedWord Embedding
    • [cs.CL]Controversy in Context
    • [cs.CL]Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing — A Tale of Two Parsers Revisited
    • [cs.CL]Density Matrices for Derivational Ambiguity
    • [cs.CL]Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing
    • [cs.CL]GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
    • [cs.CL]LXMERT: Learning Cross-Modality Encoder Representations from Transformers
    • [cs.CL]Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior
    • [cs.CL]Prosodic Phrase Alignment for Machine Dubbing
    • [cs.CL]Teacher-Student Framework Enhanced Multi-domain Dialogue Generation
    • [cs.CL]The Natural Selection of Words: Finding the Features of Fitness
    • [cs.CL]Universal Adversarial Triggers for NLP
    • [cs.CR]A Novel Kalman Filter Based Shilling Attack Detection Algorithm
    • [cs.CR]Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems
    • [cs.CV]360-Degree Textures of People in Clothing from a Single Image
    • [cs.CV]A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
    • [cs.CV]An End-to-end Video Text Detector with Online Tracking
    • [cs.CV]Blind Image Deconvolution using Pretrained Generative Priors
    • [cs.CV]Boundless: Generative Adversarial Networks for Image Extension
    • [cs.CV]BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird’s-Eye View Point Cloud
    • [cs.CV]Consistent Scale Normalization for Object Recognition
    • [cs.CV]Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation
    • [cs.CV]Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
    • [cs.CV]Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
    • [cs.CV]Human uncertainty makes classification more robust
    • [cs.CV]Image Synthesis From Reconfigurable Layout and Style
    • [cs.CV]In defense of OSVOS
    • [cs.CV]Joint Embedding of 3D Scan and CAD Objects
    • [cs.CV]Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
    • [cs.CV]Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
    • [cs.CV]Make a Face: Towards Arbitrary High Fidelity Face Manipulation
    • [cs.CV]Multi-Garment Net: Learning to Dress 3D People from Images
    • [cs.CV]Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
    • [cs.CV]Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image
    • [cs.CV]Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention
    • [cs.CV]RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
    • [cs.CV]Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
    • [cs.CV]SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
    • [cs.CV]Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images “In the Wild”
    • [cs.CV]Towards High-Resolution Salient Object Detection
    • [cs.CV]Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck
    • [cs.CV]UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images
    • [cs.CV]ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
    • [cs.CV]Video synthesis of human upper body with realistic face
    • [cs.CV]Zero-Shot Grounding of Objects from Natural Language Queries
    • [cs.CY]Fairness Issues in AI Systems that Augment Sensory Abilities
    • [cs.CY]Libra: Is it Really about Money?
    • [cs.CY]Mobile community sensing with smallholder farmers in a developing nation; A scaled pilot for crop health monitoring
    • [cs.CY]Robonomics: The Study of Robot-Human Peer-to-Peer Financial Transactions and Agreements
    • [cs.CY]The Rise of Blockchain Technology in Agriculture and Food Supply Chains
    • [cs.DC]Evacuation of equilateral triangles by mobile agents of limited communication range
    • [cs.DS]A Sharp Threshold Phenomenon for the Distributed Complexity of the Lovász Local Lemma
    • [cs.GR]Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling
    • [cs.HC]Fuzzy C-Means Clustering and Sonification of HRV Features
    • [cs.HC]StateLens: A Reverse Engineering Solution for Making Existing Dynamic Touchscreens Accessible
    • [cs.IR]Relevance Proximity Graphs for Fast Relevance Retrieval
    • [cs.IR]Tale of tails using rule augmented sequence labeling for event extraction
    • [cs.IR]The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform
    • [cs.IR]Unsupervised Hierarchical Grouping of Knowledge Graph Entities
    • [cs.IT]A Lower Bound on the Interactive Capacity of Binary Memoryless Symmetric Channels
    • [cs.IT]Breaking the MDS-PIR Capacity Barrier via Joint Storage Coding
    • [cs.IT]Energy-Efficient Cooperative Caching in UAV Networks
    • [cs.IT]Matched-Filter based Backscatter Communication for IoT Devices over Ambient OFDM Carrier
    • [cs.IT]Mixed-Timescale Beamforming and Power Splitting for Massive MIMO Aided SWIPT IoT Network
    • [cs.IT]On spectral analysis and extrapolation for processes on branched 1-manifolds
    • [cs.IT]On the Differential-Linear Connectivity Table of Vectorial Boolean Functions
    • [cs.IT]Primitive Idempotents and Constacyclic Codes over Finite Chain Rings
    • [cs.IT]Provisioning Energy-Efficiency and QoS for Multi-Carrier CoMP with Limited Feedback
    • [cs.LG]A survey on intrinsic motivation in reinforcement learning
    • [cs.LG]Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
    • [cs.LG]ChainNet: Learning on Blockchain Graphs with Topological Features
    • [cs.LG]Compliance Change Tracking in Business Process Services
    • [cs.LG]Counterfactual Distribution Regression for Structured Inference
    • [cs.LG]Cross-modal Zero-shot Hashing
    • [cs.LG]Density estimation in representation space to predict model uncertainty
    • [cs.LG]Domain-Independent turn-level Dialogue Quality Evaluation via User Satisfaction Estimation
    • [cs.LG]Expected path length on random manifolds
    • [cs.LG]Graph Neural Networks with High-order Feature Interactions
    • [cs.LG]Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond
    • [cs.LG]Hotel Recommendation System
    • [cs.LG]Investigation of wind pressures on tall building under interference effects using machine learning techniques
    • [cs.LG]Learning Fair Classifiers in Online Stochastic Settings
    • [cs.LG]On Analog Gradient Descent Learning over Multiple Access Fading Channels
    • [cs.LG]On Regularization Properties of Artificial Datasets for Deep Learning
    • [cs.LG]PAC-Bayes with Backprop
    • [cs.LG]Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
    • [cs.LG]Reinforcement Learning Applications
    • [cs.LG]Sarcasm Detection using Hybrid Neural Network
    • [cs.LG]Semi-Implicit Graph Variational Auto-Encoders
    • [cs.LG]Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales
    • [cs.LG]TabNet: Attentive Interpretable Tabular Learning
    • [cs.LG]Topic Augmented Generator for Abstractive Summarization
    • [cs.LG]Towards Effective Device-Aware Federated Learning
    • [cs.LG]Twitter Sentiment on Affordable Care Act using Score Embedding
    • [cs.NE]Landmark Map: An Extension of the Self-Organizing Map for a User-Intended Nonlinear Projection
    • [cs.NE]Modeling Major Transitions in Evolution with the Game of Life
    • [cs.PL]Implicit Recursive Characteristics of STOP
    • [cs.RO]Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion
    • [cs.RO]Efficiently Improving and Quantifying Robot Accuracy In Situ
    • [cs.RO]Indoor Navigation Using Information From A Map And A Rangefinder
    • [cs.RO]Interactive Trajectory Adaptation through Force-guided Bayesian Optimization
    • [cs.RO]Learning from failures in robot-assisted feeding: Using online learning to develop manipulation strategies for bite acquisition
    • [cs.RO]Reliable Real Time Ball Tracking for Robot Table Tennis
    • [cs.RO]State Space System Modeling of a Quad Copter UAV
    • [cs.SD]Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions
    • [cs.SI]Estimating Attention Flow in Online Video Network
    • [cs.SI]SilceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs
    • [eess.IV]A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks
    • [eess.IV]Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data
    • [eess.IV]Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation
    • [eess.SP]Greedy Algorithms for Hybrid Compressed Sensing
    • [math.OC]Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization
    • [math.PR]Asymptotic degree distributions in random threshold graphs
    • [math.PR]Extremal eigenvalues of sample covariance matrices with general population
    • [math.ST]A synthetic approach to Markov kernels, conditional independence, and theorems on sufficient statistics
    • [math.ST]Causality from the Point of View of Classical Statistics
    • [math.ST]Independent Randomness Tests based on the Orthogonalized Non-overlapping Template Matching Test
    • [math.ST]Isotonic regression discontinuity designs
    • [math.ST]Optimal estimation of functionals of high-dimensional mean and covariance matrix
    • [math.ST]Results on standard estimators in the Cox model
    • [math.ST]Stick-breaking Pitman-Yor processes given the species sampling size
    • [physics.soc-ph]Social media usage reveals how regions recover after natural disaster
    • [q-bio.NC]Playing magic tricks to deep neural networks untangles human deception
    • [q-bio.QM]DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
    • [quant-ph]Minimal degenerate CSS quantum code with low cost circuit
    • [quant-ph]Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
    • [stat.AP]Alliances and Conflict, or Conflict and Alliances? Appraising the Causal Effect of Alliances on Conflict
    • [stat.AP]An Overview of Statistical Data Analysis
    • [stat.AP]Bayesian leveraging of historical control data for a clinical trial with time-to-event endpoint
    • [stat.AP]Issues arising from benchmarking single-cell RNA sequencing imputation methods
    • [stat.AP]Onset detection: A new approach to QBH system
    • [stat.AP]Robust Design and Analysis of Clinical Trials With Non-proportional Hazards: A Straw Man Guidance from a Cross-pharma Working Group
    • [stat.CO]Forecasting observables with particle filters: Any filter will do!
    • [stat.CO]Online pseudo Marginal Sequential Monte Carlo smoother for general state spaces. Application to recursive maximum likelihood estimation of stochastic differential equations
    • [stat.ME]Dimension constraints improve hypothesis testing for large-scale, graph-associated, brain-image data
    • [stat.ME]Testing weak nulls in matched observational studies
    • [stat.ML]A Noise-Robust Fast Sparse Bayesian Learning Model
    • [stat.ML]A Review of Changepoint Detection Models
    • [stat.ML]Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology
    • [stat.ML]Improve variational autoEncoder with auxiliary softmax multiclassifier
    • [stat.ML]n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error

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    • [cond-mat.stat-mech]Spectral theory for the stability of dynamical systems on large oriented locally tree-like graphs
    Izaak Neri, Fernando Lucas Metz
    http://arxiv.org/abs/1908.07092v1

    • [cs.AI]LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules
    Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Hamed Shariat Yazdi
    http://arxiv.org/abs/1908.07141v1

    • [cs.CG]Continuous Toolpath Planning in Additive Manufacturing
    Prashant Gupta, Bala Krishnamoorthy
    http://arxiv.org/abs/1908.07452v1

    • [cs.CL]ARAML: A Stable Adversarial Training Framework for Text Generation
    Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu
    http://arxiv.org/abs/1908.07195v1

    • [cs.CL]CA-EHN: Commonsense Word Analogy from E-HowNet
    Li Peng-Hsuan, Yang, Tsan-Yu, Ma, Wei-Yun
    http://arxiv.org/abs/1908.07218v1

    • [cs.CL]CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
    Liang Zhao, Zhiyuan Ma, Yangming Zhou, Kai Wang, Shengping Liu, Ju Gao
    http://arxiv.org/abs/1908.07147v1

    • [cs.CL]CatE: Category-Name GuidedWord Embedding
    Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han
    http://arxiv.org/abs/1908.07162v1

    • [cs.CL]Controversy in Context
    Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, Noam Slonim
    http://arxiv.org/abs/1908.07491v1

    • [cs.CL]Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing — A Tale of Two Parsers Revisited
    Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre
    http://arxiv.org/abs/1908.07397v1

    • [cs.CL]Density Matrices for Derivational Ambiguity
    A. D. Correia, M. Moortgat, H. T. C. Stoof
    http://arxiv.org/abs/1908.07347v1

    • [cs.CL]Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing
    Milan Straka, Jana Straková, Jan Hajič
    http://arxiv.org/abs/1908.07448v1

    • [cs.CL]GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
    Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/1908.07245v1

    • [cs.CL]LXMERT: Learning Cross-Modality Encoder Representations from Transformers
    Hao Tan, Mohit Bansal
    http://arxiv.org/abs/1908.07490v1

    • [cs.CL]Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior
    Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho
    http://arxiv.org/abs/1908.07181v1

    • [cs.CL]Prosodic Phrase Alignment for Machine Dubbing
    Alp Öktem, Mireia Farrús, Antonio Bonafonte
    http://arxiv.org/abs/1908.07226v1

    • [cs.CL]Teacher-Student Framework Enhanced Multi-domain Dialogue Generation
    Shuke Peng, Xinjing Huang, Zehao Lin, Feng Ji, Haiqing Chen, Yin Zhang
    http://arxiv.org/abs/1908.07137v1

    • [cs.CL]The Natural Selection of Words: Finding the Features of Fitness
    Peter D. Turney, Saif M. Mohammad
    http://arxiv.org/abs/1908.07013v1

    • [cs.CL]Universal Adversarial Triggers for NLP
    Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh
    http://arxiv.org/abs/1908.07125v1

    • [cs.CR]A Novel Kalman Filter Based Shilling Attack Detection Algorithm
    Xin Liu, Yingyuan Xiao, Xu Jiao, Wenguang Zheng, Zihao Ling
    http://arxiv.org/abs/1908.06968v1

    • [cs.CR]Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems
    Wanqiao Yuan, Yingyuan Xiao, Xu Jiao, Wenguang Zheng, Zihao Ling
    http://arxiv.org/abs/1908.06967v1

    • [cs.CV]360-Degree Textures of People in Clothing from a Single Image
    Verica Lazova, Eldar Insafutdinov, Gerard Pons-Moll
    http://arxiv.org/abs/1908.07117v1

    • [cs.CV]A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
    Zipeng Wang, Zhaoxiang Liu, Zezhou Chen, Huan Hu, Shiguo Lian
    http://arxiv.org/abs/1908.07262v1

    • [cs.CV]An End-to-end Video Text Detector with Online Tracking
    Hongyuan Yu, Chengquan Zhang, Xuan Li, Junyu Han, Errui Ding, Liang Wang
    http://arxiv.org/abs/1908.07135v1

    • [cs.CV]Blind Image Deconvolution using Pretrained Generative Priors
    Muhammad Asim, Fahad Shamshad, Ali Ahmed
    http://arxiv.org/abs/1908.07404v1

    • [cs.CV]Boundless: Generative Adversarial Networks for Image Extension
    Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman
    http://arxiv.org/abs/1908.07007v1

    • [cs.CV]BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird’s-Eye View Point Cloud
    Ehsan Nezhadarya, Yang Liu, Bingbing Liu
    http://arxiv.org/abs/1908.07085v1

    • [cs.CV]Consistent Scale Normalization for Object Recognition
    Zewen He, He Huang, Yudong Wu, Guan Huang, Wensheng Zhang
    http://arxiv.org/abs/1908.07323v1

    • [cs.CV]Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation
    Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
    http://arxiv.org/abs/1908.07121v1

    • [cs.CV]Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
    Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy
    http://arxiv.org/abs/1908.06442v2

    • [cs.CV]Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
    Sun Yu, Ye Yun, Liu Wu, Gao Wenpeng, Fu YiLi, Mei Tao
    http://arxiv.org/abs/1908.07172v1

    • [cs.CV]Human uncertainty makes classification more robust
    Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky
    http://arxiv.org/abs/1908.07086v1

    • [cs.CV]Image Synthesis From Reconfigurable Layout and Style
    Wei Sun, Tianfu Wu
    http://arxiv.org/abs/1908.07500v1

    • [cs.CV]In defense of OSVOS
    Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian Reid
    http://arxiv.org/abs/1908.06692v2

    • [cs.CV]Joint Embedding of 3D Scan and CAD Objects
    Manuel Dahnert, Angela Dai, Leonidas Guibas, Matthias Nießner
    http://arxiv.org/abs/1908.06989v1

    • [cs.CV]Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
    Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin
    http://arxiv.org/abs/1908.07325v1

    • [cs.CV]Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
    Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng
    http://arxiv.org/abs/1908.07423v1

    • [cs.CV]Make a Face: Towards Arbitrary High Fidelity Face Manipulation
    Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He
    http://arxiv.org/abs/1908.07191v1

    • [cs.CV]Multi-Garment Net: Learning to Dress 3D People from Images
    Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, Gerard Pons-Moll
    http://arxiv.org/abs/1908.06903v2

    • [cs.CV]Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
    Kiru Park, Timothy Patten, Markus Vincze
    http://arxiv.org/abs/1908.07433v1

    • [cs.CV]Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image
    Roman Klokov, Jakob Verbeek, Edmond Boyer
    http://arxiv.org/abs/1908.07475v1

    • [cs.CV]Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention
    Cristian Rodriguez Opazo, Edison Marrese-Taylor, Fatemeh Sadat Saleh, Hongdong Li, Stephen Gould
    http://arxiv.org/abs/1908.07236v1

    • [cs.CV]RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
    Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao
    http://arxiv.org/abs/1908.07269v1

    • [cs.CV]Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
    Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, Michael J. Black
    http://arxiv.org/abs/1908.06963v1

    • [cs.CV]SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
    Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran
    http://arxiv.org/abs/1908.07222v1

    • [cs.CV]Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images “In the Wild”
    Silvia Zuffi, Angjoo Kanazawa, Tanja Berger-Wolf, Michael J. Black
    http://arxiv.org/abs/1908.07201v1

    • [cs.CV]Towards High-Resolution Salient Object Detection
    Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu
    http://arxiv.org/abs/1908.07274v1

    • [cs.CV]Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck
    Shuang Ma, Daniel McDuff, Yale Song
    http://arxiv.org/abs/1908.07094v1

    • [cs.CV]UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images
    Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely
    http://arxiv.org/abs/1908.07070v1

    • [cs.CV]ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
    Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Ioannis Kompatsiaris
    http://arxiv.org/abs/1908.07410v1

    • [cs.CV]Video synthesis of human upper body with realistic face
    Zhaoxiang Liu, Huan Hu, Zipeng Wang, Kai Wang, Jinqiang Bai, Shiguo Lian
    http://arxiv.org/abs/1908.06607v2

    • [cs.CV]Zero-Shot Grounding of Objects from Natural Language Queries
    Arka Sadhu, Kan Chen, Ram Nevatia
    http://arxiv.org/abs/1908.07129v1

    • [cs.CY]Fairness Issues in AI Systems that Augment Sensory Abilities
    Leah Findlater, Steven Goodman, Yuhang Zhao, Shiri Azenkot, Margot Hanley
    http://arxiv.org/abs/1908.07333v1

    • [cs.CY]Libra: Is it Really about Money?
    Valerie Khan, Geoffrey Goodell
    http://arxiv.org/abs/1908.07474v1

    • [cs.CY]Mobile community sensing with smallholder farmers in a developing nation; A scaled pilot for crop health monitoring
    Daniel Mutembesa, Ernest Mwebaze, Solomon Nsumba, Christopher Omongo, Humphrey Mutaasa
    http://arxiv.org/abs/1908.07047v1

    • [cs.CY]Robonomics: The Study of Robot-Human Peer-to-Peer Financial Transactions and Agreements
    Irvin Steve Cardenas, Jong-Hoon Kim
    http://arxiv.org/abs/1908.07393v1

    • [cs.CY]The Rise of Blockchain Technology in Agriculture and Food Supply Chains
    Andreas Kamilaris, Agusti Fonts, Francesc X. Prenafeta-Boldu
    http://arxiv.org/abs/1908.07391v1

    • [cs.DC]Evacuation of equilateral triangles by mobile agents of limited communication range
    Iman Bagheri, Lata Narayanan, Jaroslav Opatrny
    http://arxiv.org/abs/1908.07315v1

    • [cs.DS]A Sharp Threshold Phenomenon for the Distributed Complexity of the Lovász Local Lemma
    Sebastian Brandt, Yannic Maus, Jara Uitto
    http://arxiv.org/abs/1908.06270v2

    • [cs.GR]Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling
    He Wang, Edmond S. L. Ho, Hubert P. H. Shum, Zhanxing Zhu
    http://arxiv.org/abs/1908.07214v1

    • [cs.HC]Fuzzy C-Means Clustering and Sonification of HRV Features
    Debanjan Borthakur, Victoria Grace, Paul Batchelor, Harishchandra Dubey
    http://arxiv.org/abs/1908.07107v1

    • [cs.HC]StateLens: A Reverse Engineering Solution for Making Existing Dynamic Touchscreens Accessible
    Anhong Guo, Junhan Kong, Michael Rivera, Frank F. Xu, Jeffrey P. Bigham
    http://arxiv.org/abs/1908.07144v1

    • [cs.IR]Relevance Proximity Graphs for Fast Relevance Retrieval
    Stanislav Morozov, Artem Babenko
    http://arxiv.org/abs/1908.06887v2

    • [cs.IR]Tale of tails using rule augmented sequence labeling for event extraction
    Hrishikesh Patel, Nandan Rathod, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Pushpak Bhattacharyya
    http://arxiv.org/abs/1908.07018v1

    • [cs.IR]The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform
    Jie Li, Haifeng Liu, Chuanghua Gui, Jianyu Chen, Zhenyun Ni, Ning Wang
    http://arxiv.org/abs/1908.07389v1

    • [cs.IR]Unsupervised Hierarchical Grouping of Knowledge Graph Entities
    Sameh K. Mohamed
    http://arxiv.org/abs/1908.07281v1

    • [cs.IT]A Lower Bound on the Interactive Capacity of Binary Memoryless Symmetric Channels
    Assaf Ben-Yishai, Young-Han Kim, Or Ordentlich, Ofer Shayevitz
    http://arxiv.org/abs/1908.07367v1

    • [cs.IT]Breaking the MDS-PIR Capacity Barrier via Joint Storage Coding
    Hua Sun, Chao Tian
    http://arxiv.org/abs/1908.07091v1

    • [cs.IT]Energy-Efficient Cooperative Caching in UAV Networks
    Mohammad G. Khoshkholgh, Victor C. M. Leung
    http://arxiv.org/abs/1908.07115v1

    • [cs.IT]Matched-Filter based Backscatter Communication for IoT Devices over Ambient OFDM Carrier
    Jinho Choi
    http://arxiv.org/abs/1908.07108v1

    • [cs.IT]Mixed-Timescale Beamforming and Power Splitting for Massive MIMO Aided SWIPT IoT Network
    Xihan Chen, Hei Victor Cheng, An Liu, Kaiming Shen, Min-Jian Zhao
    http://arxiv.org/abs/1908.07408v1

    • [cs.IT]On spectral analysis and extrapolation for processes on branched 1-manifolds
    Nikolai Dokuchaev
    http://arxiv.org/abs/1908.07212v1

    • [cs.IT]On the Differential-Linear Connectivity Table of Vectorial Boolean Functions
    Anne Canteaut, Lukas Kölsch, Chao Li, Chunlei Li, Kangquan Li, Longjiang Qu, Friedrich Wiemer
    http://arxiv.org/abs/1908.07445v1

    • [cs.IT]Primitive Idempotents and Constacyclic Codes over Finite Chain Rings
    Mohammed Elhassani Charkani, Joël Kabore
    http://arxiv.org/abs/1908.07368v1

    • [cs.IT]Provisioning Energy-Efficiency and QoS for Multi-Carrier CoMP with Limited Feedback
    Mohammad G. Khoshkholgh, Victor C. M. Leung, Kang G. Shin, Keivan Navaie
    http://arxiv.org/abs/1908.07119v1

    • [cs.LG]A survey on intrinsic motivation in reinforcement learning
    Arthur Aubret, Laetitia Matignon, Salima Hassas
    http://arxiv.org/abs/1908.06976v1

    • [cs.LG]Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
    Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller
    http://arxiv.org/abs/1908.07319v1

    • [cs.LG]ChainNet: Learning on Blockchain Graphs with Topological Features
    Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Umar D. Islambekov, Murat Kantarcioglu, Yahui Tian, Bhavani Thuraisingham
    http://arxiv.org/abs/1908.06971v1

    • [cs.LG]Compliance Change Tracking in Business Process Services
    Srikanth G Tamilselvam, Ankush Gupta, Arvind Agarwal
    http://arxiv.org/abs/1908.07190v1

    • [cs.LG]Counterfactual Distribution Regression for Structured Inference
    Nicolo Colombo, Ricardo Silva, Soong M Kang, Arthur Gretton
    http://arxiv.org/abs/1908.07193v1

    • [cs.LG]Cross-modal Zero-shot Hashing
    Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
    http://arxiv.org/abs/1908.07388v1

    • [cs.LG]Density estimation in representation space to predict model uncertainty
    Tiago Ramalho, Miguel Miranda
    http://arxiv.org/abs/1908.07235v1

    • [cs.LG]Domain-Independent turn-level Dialogue Quality Evaluation via User Satisfaction Estimation
    Praveen Kumar Bodigutla, Longshaokan Wang, Kate Ridgeway, Joshua Levy, Swanand Joshi, Alborz Geramifard, Spyros Matsoukas
    http://arxiv.org/abs/1908.07064v1

    • [cs.LG]Expected path length on random manifolds
    David Eklund, Søren Hauberg
    http://arxiv.org/abs/1908.07377v1

    • [cs.LG]Graph Neural Networks with High-order Feature Interactions
    Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu
    http://arxiv.org/abs/1908.07110v1

    • [cs.LG]Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond
    Zitao Liu, Zhexuan Xu, Yan Yan
    http://arxiv.org/abs/1908.07371v1

    • [cs.LG]Hotel Recommendation System
    Aditi A. Mavalankar, Ajitesh Gupta, Chetan Gandotra, Rishabh Misra
    http://arxiv.org/abs/1908.07498v1

    • [cs.LG]Investigation of wind pressures on tall building under interference effects using machine learning techniques
    Gang Hu, Lingbo Liu, Dacheng Tao, Jie Song, K. C. S. Kwok
    http://arxiv.org/abs/1908.07307v1

    • [cs.LG]Learning Fair Classifiers in Online Stochastic Settings
    Yi Sun, Ivan Ramirez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
    http://arxiv.org/abs/1908.07009v1

    • [cs.LG]On Analog Gradient Descent Learning over Multiple Access Fading Channels
    Tomer Sery, Kobi Cohen
    http://arxiv.org/abs/1908.07463v1

    • [cs.LG]On Regularization Properties of Artificial Datasets for Deep Learning
    Karol Antczak
    http://arxiv.org/abs/1908.07005v1

    • [cs.LG]PAC-Bayes with Backprop
    Omar Rivasplata, Vikram M Tankasali, Csaba Szepesvari
    http://arxiv.org/abs/1908.07380v1

    • [cs.LG]Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
    Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin
    http://arxiv.org/abs/1908.07116v1

    • [cs.LG]Reinforcement Learning Applications
    Yuxi Li
    http://arxiv.org/abs/1908.06973v1

    • [cs.LG]Sarcasm Detection using Hybrid Neural Network
    Rishabh Misra, Prahal Arora
    http://arxiv.org/abs/1908.07414v1

    • [cs.LG]Semi-Implicit Graph Variational Auto-Encoders
    Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
    http://arxiv.org/abs/1908.07078v1

    • [cs.LG]Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales
    Cheng Wan, Akane Sano
    http://arxiv.org/abs/1908.07483v1

    • [cs.LG]TabNet: Attentive Interpretable Tabular Learning
    Sercan O. Arik, Tomas Pfister
    http://arxiv.org/abs/1908.07442v1

    • [cs.LG]Topic Augmented Generator for Abstractive Summarization
    Melissa Ailem, Bowen Zhang, Fei Sha
    http://arxiv.org/abs/1908.07026v1

    • [cs.LG]Towards Effective Device-Aware Federated Learning
    Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara
    http://arxiv.org/abs/1908.07420v1

    • [cs.LG]Twitter Sentiment on Affordable Care Act using Score Embedding
    Mohsen Farhadloo
    http://arxiv.org/abs/1908.07061v1

    • [cs.NE]Landmark Map: An Extension of the Self-Organizing Map for a User-Intended Nonlinear Projection
    Akinari Onishi
    http://arxiv.org/abs/1908.07124v1

    • [cs.NE]Modeling Major Transitions in Evolution with the Game of Life
    Peter D. Turney
    http://arxiv.org/abs/1908.07034v1

    • [cs.PL]Implicit Recursive Characteristics of STOP
    Mike H. Ji
    http://arxiv.org/abs/1908.06601v1

    • [cs.RO]Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion
    Alexander H. Chang, Shiyu Feng, Yipu Zhao, Justin S. Smith, Patricio A. Vela
    http://arxiv.org/abs/1908.07101v1

    • [cs.RO]Efficiently Improving and Quantifying Robot Accuracy In Situ
    Karl Van Wyk, Joe Falco, Geraldine Cheok
    http://arxiv.org/abs/1908.07273v1

    • [cs.RO]Indoor Navigation Using Information From A Map And A Rangefinder
    Mostafa Mansour, Oleg Stepanov
    http://arxiv.org/abs/1908.07279v1

    • [cs.RO]Interactive Trajectory Adaptation through Force-guided Bayesian Optimization
    Leonel Rozo
    http://arxiv.org/abs/1908.07263v1

    • [cs.RO]Learning from failures in robot-assisted feeding: Using online learning to develop manipulation strategies for bite acquisition
    Ethan K Gordon, Xiang Meng, Matt Barnes, Tapomayukh Bhattacharjee, Siddhartha S Srinivasa
    http://arxiv.org/abs/1908.07088v1

    • [cs.RO]Reliable Real Time Ball Tracking for Robot Table Tennis
    Sebastian Gomez-Gonzalez, Yassine Nemmour, Bernhard Schölkopf, Jan Peters
    http://arxiv.org/abs/1908.07332v1

    • [cs.RO]State Space System Modeling of a Quad Copter UAV
    Zaid Tahir, Waleed Tahir, Saad Ali Liaqat
    http://arxiv.org/abs/1908.07401v1

    • [cs.SD]Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions
    Eita Nakamura, Kazuyoshi Yoshii
    http://arxiv.org/abs/1908.06969v1

    • [cs.SI]Estimating Attention Flow in Online Video Network
    Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
    http://arxiv.org/abs/1908.07123v1

    • [cs.SI]SilceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs
    Hamed Nilforoshan, Neil Shah
    http://arxiv.org/abs/1908.07087v1

    • [eess.IV]A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks
    Chandra Churh Chatterjee, Gopal Krishna
    http://arxiv.org/abs/1908.07362v1

    • [eess.IV]Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data
    Maayan Frid-Adar, Rula Amer, Hayit Greenspan
    http://arxiv.org/abs/1908.07170v1

    • [eess.IV]Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation
    Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
    http://arxiv.org/abs/1908.07344v1

    • [eess.SP]Greedy Algorithms for Hybrid Compressed Sensing
    Ching-Lun Tai, Sung-Hsien Hsieh, Chun-Shien Lu
    http://arxiv.org/abs/1908.06359v1

    • [math.OC]Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization
    Stefan Vlaski, Ali H. Sayed
    http://arxiv.org/abs/1908.07023v1

    • [math.PR]Asymptotic degree distributions in random threshold graphs
    Armand M. Makowski, Siddharth Pal
    http://arxiv.org/abs/1908.07066v1

    • [math.PR]Extremal eigenvalues of sample covariance matrices with general population
    Jinwoong Kwak, Ji Oon Lee, Jaewhi Park
    http://arxiv.org/abs/1908.07444v1

    • [math.ST]A synthetic approach to Markov kernels, conditional independence, and theorems on sufficient statistics
    Tobias Fritz
    http://arxiv.org/abs/1908.07021v1

    • [math.ST]Causality from the Point of View of Classical Statistics
    José A. Ferreira
    http://arxiv.org/abs/1908.07301v1

    • [math.ST]Independent Randomness Tests based on the Orthogonalized Non-overlapping Template Matching Test
    Atsushi Iwasaki
    http://arxiv.org/abs/1908.07145v1

    • [math.ST]Isotonic regression discontinuity designs
    Andrii Babii, Rohit Kumar
    http://arxiv.org/abs/1908.05752v2

    • [math.ST]Optimal estimation of functionals of high-dimensional mean and covariance matrix
    Jianqing Fan, Haolei Weng, Yifeng Zhou
    http://arxiv.org/abs/1908.07460v1

    • [math.ST]Results on standard estimators in the Cox model
    Cécile Durot, Eni Musta
    http://arxiv.org/abs/1908.07456v1

    • [math.ST]Stick-breaking Pitman-Yor processes given the species sampling size
    Lanelot F. James
    http://arxiv.org/abs/1908.07186v1

    • [physics.soc-ph]Social media usage reveals how regions recover after natural disaster
    Robert Eyre, Flavia De Luca, Filippo Simini
    http://arxiv.org/abs/1908.07384v1

    • [q-bio.NC]Playing magic tricks to deep neural networks untangles human deception
    Regina Zaghi-Lara, Miguel Ángel Gea, Jordi Camí, Luis M. Martínez, Alex Gomez-Marin
    http://arxiv.org/abs/1908.07446v1

    • [q-bio.QM]DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
    Yibo Li, Jianxing Hu, Yanxing Wang, Jielong Zhou, Liangren Zhang, Zhenming Liu
    http://arxiv.org/abs/1908.07209v1

    • [quant-ph]Minimal degenerate CSS quantum code with low cost circuit
    Ritajit Majumdar, Susmita Sur-Kolay
    http://arxiv.org/abs/1908.07229v1

    • [quant-ph]Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
    Iordanis Kerenidis, Anupam Prakash, Dániel Szilágyi
    http://arxiv.org/abs/1908.06720v1

    • [stat.AP]Alliances and Conflict, or Conflict and Alliances? Appraising the Causal Effect of Alliances on Conflict
    Benjamin Campbell
    http://arxiv.org/abs/1908.07100v1

    • [stat.AP]An Overview of Statistical Data Analysis
    Rui Portocarrero Sarmento, Vera Costa
    http://arxiv.org/abs/1908.07390v1

    • [stat.AP]Bayesian leveraging of historical control data for a clinical trial with time-to-event endpoint
    Satrajit Roychoudhury, Beat Neuenschwander
    http://arxiv.org/abs/1908.07265v1

    • [stat.AP]Issues arising from benchmarking single-cell RNA sequencing imputation methods
    Wei Vivian Li, Jingyi Jessica Li
    http://arxiv.org/abs/1908.07084v1

    • [stat.AP]Onset detection: A new approach to QBH system
    Ritwik Bhaduri, Soham Bonnerjee, Subhrajyoti Roy
    http://arxiv.org/abs/1908.07409v1

    • [stat.AP]Robust Design and Analysis of Clinical Trials With Non-proportional Hazards: A Straw Man Guidance from a Cross-pharma Working Group
    Satrajit Roychoudhury, Keaven M Anderson, Jiabu Ye, Pralay Mukhopadhyay
    http://arxiv.org/abs/1908.07112v1

    • [stat.CO]Forecasting observables with particle filters: Any filter will do!
    Patrick Leung, Catherine S. Forbes, Gael M. Martin, Brendan McCabe
    http://arxiv.org/abs/1908.07204v1

    • [stat.CO]Online pseudo Marginal Sequential Monte Carlo smoother for general state spaces. Application to recursive maximum likelihood estimation of stochastic differential equations
    Pierre Gloaguen, Sylvain Le Corff, Jimmy Olsson
    http://arxiv.org/abs/1908.07254v1

    • [stat.ME]Dimension constraints improve hypothesis testing for large-scale, graph-associated, brain-image data
    TIen Vo, Vamsi Ithapu, Vikas Singh, Michael A. Newton
    http://arxiv.org/abs/1908.07176v1

    • [stat.ME]Testing weak nulls in matched observational studies
    Colin B. Fogarty
    http://arxiv.org/abs/1908.07352v1

    • [stat.ML]A Noise-Robust Fast Sparse Bayesian Learning Model
    Ingvild M. Helgøy, Yushu Li
    http://arxiv.org/abs/1908.07220v1

    • [stat.ML]A Review of Changepoint Detection Models
    Yixiao Li, Gloria Lin, Thomas Lau, Ruochen Zeng
    http://arxiv.org/abs/1908.07136v1

    • [stat.ML]Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology
    Weipeng Huang, Guangyuan Piao, Raul Moreno, Neil Hurley
    http://arxiv.org/abs/1908.07031v1

    • [stat.ML]Improve variational autoEncoder with auxiliary softmax multiclassifier
    Yao Li
    http://arxiv.org/abs/1908.06966v1

    • [stat.ML]n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error
    Michel Moukari, Loïc Simon, Sylvaine Picard, Frédéric Jurie
    http://arxiv.org/abs/1908.07253v1