astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 hep-th - 高能物理理论 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.data-an - 数据分析、 统计和概率 physics.ed-ph - 物理教育 physics.soc-ph - 物理学与社会 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy
    • [cs.AI]Learning Goal-Oriented Visual Dialog Agents: Imitating and Surpassing Analytic Experts
    • [cs.AI]TSRuleGrowth : Extraction de règles de prédiction semi-ordonnées à partir d’une série temporelle d’éléments discrets, application dans un contexte d’intelligence ambiante
    • [cs.CL]Automatic Generation of Personalized Comment Based on User Profile
    • [cs.CL]CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology
    • [cs.CL]Distributional Analysis of Function Words
    • [cs.CL]Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
    • [cs.CL]Fine-Grained Sentence Functions for Short-Text Conversation
    • [cs.CL]Incremental Transformer with Deliberation Decoder for Document Grounded Conversations
    • [cs.CL]Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References
    • [cs.CL]SpanBERT: Improving Pre-training by Representing and Predicting Spans
    • [cs.CL]Translator2Vec: Understanding and Representing Human Post-Editors
    • [cs.CL]Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task
    • [cs.CR]Biometric Blockchain: A Better Solution for the Security and Trust of Food Logistics
    • [cs.CV]Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection
    • [cs.CV]Conf-Net: Predicting Depth Completion Error-Map ForHigh-Confidence Dense 3D Point-Cloud
    • [cs.CV]CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line Correspondences
    • [cs.CV]DR Loss: Improving Object Detection by Distributional Ranking
    • [cs.CV]Delving Deep into Liver Focal Lesion Detection: A Preliminary Study
    • [cs.CV]Dense Feature Aggregation and Pruning for RGBT Tracking
    • [cs.CV]DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies
    • [cs.CV]Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets
    • [cs.CV]Efficient Circle-Based Camera Pose Tracking Free of PnP
    • [cs.CV]Exploring Factors for Improving Low Resolution Face Recognition
    • [cs.CV]From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
    • [cs.CV]HA-CCN: Hierarchical Attention-based Crowd Counting Network
    • [cs.CV]Hyperspectral City V1.0 Dataset and Benchmark
    • [cs.CV]Investigating Correlations of Inter-coder Agreement and Machine Annotation Performance for Historical Video Data
    • [cs.CV]Learning Embedding of 3D models with Quadric Loss
    • [cs.CV]Learning Spatial Transform for Video Frame Interpolation
    • [cs.CV]Lifelong GAN: Continual Learning for Conditional Image Generation
    • [cs.CV]Mixed-Supervised Dual-Network for Medical Image Segmentation
    • [cs.CV]Motion-Aware Feature for Improved Video Anomaly Detection
    • [cs.CV]Movement science needs different pose tracking algorithms
    • [cs.CV]Multi-adversarial Faster-RCNN for Unrestricted Object Detection
    • [cs.CV]Multimodal Age and Gender Classification Using Ear and Profile Face Images
    • [cs.CV]One-Shot Mutual Affine-Transfer for Photorealistic Stylization
    • [cs.CV]Pose-variant 3D Facial Attribute Generation
    • [cs.CV]Progressive Perception-Oriented Network for Single Image Super-Resolution
    • [cs.CV]QRMODA and BRMODA: Novel Models for Face Recognition Accuracy in Computer Vision Systems with Adapted Video Streams
    • [cs.CV]Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation
    • [cs.CV]StableNet: Semi-Online, Multi-Scale Deep Video Stabilization
    • [cs.CV]Stochastic trajectory prediction with social graph network
    • [cs.CV]Teacher-Students Knowledge Distillation for Siamese Trackers
    • [cs.CV]Towards Adversarially Robust Object Detection
    • [cs.CV]Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
    • [cs.CV]Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?
    • [cs.CY]A system of different layers of abstraction for artificial intelligence
    • [cs.CY]Commercial Technologies for Advanced Light Control in Smart Building Energy Management Systems: A Comparative Study
    • [cs.CY]Electronic health record in the era of industry 4.0: the French example
    • [cs.CY]Evaluating the Effectiveness of Common Technical Trading Models
    • [cs.CY]Green AI
    • [cs.CY]Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence
    • [cs.DB]The sameAs Problem: A Survey on Identity Management in the Web of Data
    • [cs.DC]Live Forensics for Distributed Storage Systems
    • [cs.DC]Scalable and Secure Computation Among Strangers: Resource-Competitive Byzantine Protocols
    • [cs.DC]Secure and Transparent Audit Logs with BlockAudit
    • [cs.DS]P-SLOCAL-Completeness of Maximum Independent Set Approximation
    • [cs.ET]Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays
    • [cs.IR]Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products
    • [cs.IT]Distributed Power Control with Partial Channel State Information: Performance Characterization and Design
    • [cs.IT]Observability Analysis for Large-Scale Power Systems Using Factor Graphs
    • [cs.IT]On Reciprocity in Physically Consistent TDD Systems with Coupled Antennas
    • [cs.IT]Receding Horizon Optimization for Energy-Efficient UAV Communication
    • [cs.LG]A Fine-Grained Spectral Perspective on Neural Networks
    • [cs.LG]A Neural Network Based On-device Learning Anomaly Detector for Edge Devices
    • [cs.LG]A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training
    • [cs.LG]Achieving Fairness in the Stochastic Multi-armed Bandit Problem
    • [cs.LG]Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction
    • [cs.LG]Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine
    • [cs.LG]Classification from Triplet Comparison Data
    • [cs.LG]Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties
    • [cs.LG]Constrained K-means with General Pairwise and Cardinality Constraints
    • [cs.LG]Discriminative Consistent Domain Generation for Semi-supervised Learning
    • [cs.LG]Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy
    • [cs.LG]Fairness in Reinforcement Learning
    • [cs.LG]GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision
    • [cs.LG]Higher-Order Function Networks for Learning Composable 3D Object Representations
    • [cs.LG]Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques
    • [cs.LG]Noise Contrastive Variational Autoencoders
    • [cs.LG]Notes on Latent Structure Models and SPIGOT
    • [cs.LG]Optimal Transport-based Alignment of Learned Character Representations for String Similarity
    • [cs.LG]Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising
    • [cs.LG]Robust and Communication-Efficient Collaborative Learning
    • [cs.LG]Scaling Back-propagation by Parallel Scan Algorithm
    • [cs.LG]Self-attention based BiLSTM-CNN classifier for the prediction of ischemic and non-ischemic cardiomyopathy
    • [cs.LG]Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning
    • [cs.LO]Inconsistency Proofs for ASP: The ASP-DRUPE Format
    • [cs.LO]Partial Compilation of ASP Programs
    • [cs.LO]Towards Logical Specification of Statistical Machine Learning
    • [cs.NI]Learning Wi-Fi Connection Loss Predictions for Seamless Vertical Handovers Using Multipath TCP
    • [cs.PL]A Case for Stale Synchronous Distributed Model for Declarative Recursive Computation
    • [cs.RO]An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem
    • [cs.RO]Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors
    • [cs.RO]Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation
    • [cs.RO]Reflective-AR Display: An Interaction Methodology for Virtual-Real Alignment in Medical Robotics
    • [cs.SI]Detecting Stable Communities in Link Streams at Multiple Temporal Scales
    • [cs.SI]Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks
    • [eess.AS]A Deep Neural Network for Short-Segment Speaker Recognition
    • [eess.AS]LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization
    • [eess.AS]Non-Parallel Voice Conversion with Cyclic Variational Autoencoder
    • [eess.IV]A CNN-based tool for automatic tongue contour tracking in ultrasound images
    • [eess.IV]A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry
    • [eess.IV]Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound
    • [eess.IV]Blind Deblurring using Deep Learning: A Survey
    • [eess.IV]Computer Aided Detection of Deep Inferior Epigastric Perforators in Computed Tomography Angiography scans
    • [eess.IV]Convolutional neural network stacking for medical image segmentation in CT scans
    • [eess.IV]Image Super-Resolution Using a Wavelet-based Generative Adversarial Network
    • [eess.IV]Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks
    • [eess.IV]Maximum likelihood estimation for disk image parameters
    • [eess.IV]Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery
    • [eess.IV]Predicting Clinical Outcome of Stroke Patients with Tractographic Feature
    • [eess.SP]A neural network based post-filter for speech-driven head motion synthesis
    • [eess.SP]BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks
    • [eess.SP]Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications
    • [eess.SP]Early Anomaly Detection in Power Systems Based on Random Matrix Theory
    • [hep-th]Searching the Landscape of Flux Vacua with Genetic Algorithms
    • [math.OC]Infection-Curing Games over Polya Contagion Networks
    • [math.OC]Sparse Optimization on Measures with Over-parameterized Gradient Descent
    • [math.PR]Universality of the Langevin diffusion as scaling limit of a family of Metropolis-Hastings processes
    • [math.ST]Exploring the Distributional Properties of the Non-Gaussian Random Field Models
    • [math.ST]Graph inference with clustering and false discovery rate control
    • [math.ST]Sparse Regularization for Mixture Problems
    • [physics.comp-ph]Machine Learning the Tangent Space of Dynamical Instabilities from Data
    • [physics.data-an]A geometric approach to the transport of discontinuous densities
    • [physics.ed-ph]Training future teachers in natural sciences and mathematics by means of computer simulation: a social constructivist approach
    • [physics.soc-ph]Political network of central power agents: case of missi dominici
    • [q-fin.RM]Multivariate Modeling of Natural Gas Spot Trading Hubs Incorporating Futures Market Realized Volatility
    • [quant-ph]A neural network oracle for quantum nonlocality problems in networks
    • [stat.AP]Comparison of Multi-response Estimation Methods
    • [stat.AP]Testing new property of elliptical model for stock returns distribution
    • [stat.AP]The effect of short-term exposure to the natural environment on depressive mood: A systematic review and meta-analysis
    • [stat.AP]Uncertainty in the MAN Data Calibration & Trend Estimates
    • [stat.CO]Transport Monte Carlo
    • [stat.ME]Approximate Bayesian inference for a “steps and turns” continuous-time random walk observed at regular time intervals
    • [stat.ME]Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data
    • [stat.ME]Estimation of ordinary differential equation models with discretization error quantification
    • [stat.ME]High-dimensional inference using the extremal skew-$t$ process
    • [stat.ME]Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study
    • [stat.ME]New frontiers in Bayesian modeling using the INLA package in R
    • [stat.ME]Sample Size Calculations in Simple Linear Regression: Trials and Tribulations
    • [stat.ME]Sharp bounds on the relative treatment effect for ordinal outcomes
    • [stat.ME]Simulating an infinite mean waiting time
    • [stat.ML]Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
    • [stat.ML]On the relationship between variational inference and adaptive importance sampling
    • [stat.ML]Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning

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    • [astro-ph.IM]Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy
    Evgeny Postnikov, Alexander Kryukov, Stanislav Polyakov, Dmitry Zhurov
    http://arxiv.org/abs/1907.10480v1

    • [cs.AI]Learning Goal-Oriented Visual Dialog Agents: Imitating and Surpassing Analytic Experts
    Yen-Wei Chang, Wen-Hsiao Peng
    http://arxiv.org/abs/1907.10500v1

    • [cs.AI]TSRuleGrowth : Extraction de règles de prédiction semi-ordonnées à partir d’une série temporelle d’éléments discrets, application dans un contexte d’intelligence ambiante
    Benoit Vuillemin, Lionel Delphin-Poulat, Rozenn Nicol, Laëtitia Matignon, Salima Hassas
    http://arxiv.org/abs/1907.10054v1

    • [cs.CL]Automatic Generation of Personalized Comment Based on User Profile
    Wenhuan Zeng, Abulikemu Abuduweili, Lei Li, Pengcheng Yang
    http://arxiv.org/abs/1907.10371v1

    • [cs.CL]CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology
    Aditi Chaudhary, Elizabeth Salesky, Gayatri Bhat, David R. Mortensen, Jaime G. Carbonell, Yulia Tsvetkov
    http://arxiv.org/abs/1907.10129v1

    • [cs.CL]Distributional Analysis of Function Words
    Daniel Hole, Sebastian Pado
    http://arxiv.org/abs/1907.10449v1

    • [cs.CL]Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
    Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary, James Route, Teruko Mitamura, Eric Nyberg
    http://arxiv.org/abs/1907.10136v1

    • [cs.CL]Fine-Grained Sentence Functions for Short-Text Conversation
    Wei Bi, Jun Gao, Xiaojiang Liu, Shuming Shi
    http://arxiv.org/abs/1907.10302v1

    • [cs.CL]Incremental Transformer with Deliberation Decoder for Document Grounded Conversations
    Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou
    http://arxiv.org/abs/1907.08854v2

    • [cs.CL]Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References
    Prakhar Gupta, Shikib Mehri, Tiancheng Zhao, Amy Pavel, Maxine Eskenazi, Jeffrey P. Bigham
    http://arxiv.org/abs/1907.10568v1

    • [cs.CL]SpanBERT: Improving Pre-training by Representing and Predicting Spans
    Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy
    http://arxiv.org/abs/1907.10529v1

    • [cs.CL]Translator2Vec: Understanding and Representing Human Post-Editors
    António Góis, André F. T. Martins
    http://arxiv.org/abs/1907.10362v1

    • [cs.CL]Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task
    Fabio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes, André F. T. Martins
    http://arxiv.org/abs/1907.10352v1

    • [cs.CR]Biometric Blockchain: A Better Solution for the Security and Trust of Food Logistics
    Tobechukwu Agbele, Bing Xu, Richard Jiang
    http://arxiv.org/abs/1907.10589v1

    • [cs.CV]Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection
    Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
    http://arxiv.org/abs/1907.10164v1

    • [cs.CV]Conf-Net: Predicting Depth Completion Error-Map ForHigh-Confidence Dense 3D Point-Cloud
    Hamid Hekmatian, Samir Al-Stouhi, Jingfu Jin
    http://arxiv.org/abs/1907.10148v1

    • [cs.CV]CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line Correspondences
    Sérgio Agostinho, João Gomes, Alessio Del Bue
    http://arxiv.org/abs/1907.10545v1

    • [cs.CV]DR Loss: Improving Object Detection by Distributional Ranking
    Qi Qian, Lei Chen, Hao Li, Rong Jin
    http://arxiv.org/abs/1907.10156v1

    • [cs.CV]Delving Deep into Liver Focal Lesion Detection: A Preliminary Study
    Jiechao Ma, Yingqian Chen, Yu Chen, Fengkai Wan, Sumin Xue, Ziping Li, Shiting Feng
    http://arxiv.org/abs/1907.10346v1

    • [cs.CV]Dense Feature Aggregation and Pruning for RGBT Tracking
    Yabin Zhu, Chenglong Li, Bin Luo, Jin Tang, Xiao Wang
    http://arxiv.org/abs/1907.10451v1

    • [cs.CV]DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies
    Soshi Shimada, Vladislav Golyanik, Edgar Tretschk, Didier Stricker, Christian Theobalt
    http://arxiv.org/abs/1907.10367v1

    • [cs.CV]Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets
    Naima Otberdout, Mohamed Daoudi, Anis Kacem, Lahoucine Ballihi, Stefano Berretti
    http://arxiv.org/abs/1907.10087v1

    • [cs.CV]Efficient Circle-Based Camera Pose Tracking Free of PnP
    Fulin Tang, Yihong Wu
    http://arxiv.org/abs/1907.10219v1

    • [cs.CV]Exploring Factors for Improving Low Resolution Face Recognition
    Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazım Kemal Ekenel, Jean-Philippe Thiran
    http://arxiv.org/abs/1907.10104v1

    • [cs.CV]From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
    Jin Han Lee, Myung-Kyu Han, Dong Wook Ko, Il Hong Suh
    http://arxiv.org/abs/1907.10326v1

    • [cs.CV]HA-CCN: Hierarchical Attention-based Crowd Counting Network
    Vishwanath A. Sindagi, Vishal M. Patel
    http://arxiv.org/abs/1907.10255v1

    • [cs.CV]Hyperspectral City V1.0 Dataset and Benchmark
    Shaodi You
    http://arxiv.org/abs/1907.10270v1

    • [cs.CV]Investigating Correlations of Inter-coder Agreement and Machine Annotation Performance for Historical Video Data
    Kader Pustu-Iren, Markus Mühling, Nikolaus Korfhage, Joanna Bars, Sabrina Bernhöft, Angelika Hörth, Bernd Freisleben, Ralph Ewerth
    http://arxiv.org/abs/1907.10450v1

    • [cs.CV]Learning Embedding of 3D models with Quadric Loss
    Nitin Agarwal, Sung-eui Yoon, M Gopi
    http://arxiv.org/abs/1907.10250v1

    • [cs.CV]Learning Spatial Transform for Video Frame Interpolation
    Hyeongmin Lee, Taeoh Kim, Tae-young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee
    http://arxiv.org/abs/1907.10244v1

    • [cs.CV]Lifelong GAN: Continual Learning for Conditional Image Generation
    Mengyao Zhai, Lei Chen, Fred Tung, Jiawei He, Megha Nawhal, Greg Mori
    http://arxiv.org/abs/1907.10107v1

    • [cs.CV]Mixed-Supervised Dual-Network for Medical Image Segmentation
    Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender
    http://arxiv.org/abs/1907.10209v1

    • [cs.CV]Motion-Aware Feature for Improved Video Anomaly Detection
    Yi Zhu, Shawn Newsam
    http://arxiv.org/abs/1907.10211v1

    • [cs.CV]Movement science needs different pose tracking algorithms
    Nidhi Seethapathi, Shaofei Wang, Rachit Saluja, Gunnar Blohm, Konrad P. Kording
    http://arxiv.org/abs/1907.10226v1

    • [cs.CV]Multi-adversarial Faster-RCNN for Unrestricted Object Detection
    Zhenwei He, Lei Zhang
    http://arxiv.org/abs/1907.10343v1

    • [cs.CV]Multimodal Age and Gender Classification Using Ear and Profile Face Images
    Dogucan Yaman, Fevziye Irem Eyiokur, Hazım Kemal Ekenel
    http://arxiv.org/abs/1907.10081v1

    • [cs.CV]One-Shot Mutual Affine-Transfer for Photorealistic Stylization
    Ying Qu, Zhenzhou Shao, Hairong Qi
    http://arxiv.org/abs/1907.10274v1

    • [cs.CV]Pose-variant 3D Facial Attribute Generation
    Feng-Ju Chang, Xiang Yu, Ram Nevatia, Manmohan Chandraker
    http://arxiv.org/abs/1907.10202v1

    • [cs.CV]Progressive Perception-Oriented Network for Single Image Super-Resolution
    Zheng Hui, Jie Li, Xinbo Gao, Xiumei Wang
    http://arxiv.org/abs/1907.10399v1

    • [cs.CV]QRMODA and BRMODA: Novel Models for Face Recognition Accuracy in Computer Vision Systems with Adapted Video Streams
    Hayder Hamandi, Nabil Sarhan
    http://arxiv.org/abs/1907.10559v1

    • [cs.CV]Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation
    Chenglong Li, Wei Xia, Yan Yan, Bin Luo, Jin Tang
    http://arxiv.org/abs/1907.10303v1

    • [cs.CV]StableNet: Semi-Online, Multi-Scale Deep Video Stabilization
    Chia-Hung Huang, Hang Yin, Yu-Wing Tai, Chi-Keung Tang
    http://arxiv.org/abs/1907.10283v1

    • [cs.CV]Stochastic trajectory prediction with social graph network
    Lidan Zhang, Qi She, Ping Guo
    http://arxiv.org/abs/1907.10233v1

    • [cs.CV]Teacher-Students Knowledge Distillation for Siamese Trackers
    Yuanpei Liu, Xingping Dong, Wenguan Wang, Jianbing Shen
    http://arxiv.org/abs/1907.10586v1

    • [cs.CV]Towards Adversarially Robust Object Detection
    Haichao Zhang, Jianyu Wang
    http://arxiv.org/abs/1907.10310v1

    • [cs.CV]Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
    Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu
    http://arxiv.org/abs/1907.10456v1

    • [cs.CV]Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?
    Yunus Can Bilge, Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis
    http://arxiv.org/abs/1907.10292v1

    • [cs.CY]A system of different layers of abstraction for artificial intelligence
    Alexander Serb, Themistoklis Prodromakis
    http://arxiv.org/abs/1907.10508v1

    • [cs.CY]Commercial Technologies for Advanced Light Control in Smart Building Energy Management Systems: A Comparative Study
    Roufaida Laidi, Djamel Djenouri, Marc Ringel
    http://arxiv.org/abs/1907.10429v1

    • [cs.CY]Electronic health record in the era of industry 4.0: the French example
    Sarah Manard, Nicolas Vergos, Simon Tamayo, Frédéric Fontane
    http://arxiv.org/abs/1907.10322v1

    • [cs.CY]Evaluating the Effectiveness of Common Technical Trading Models
    Joseph Attia
    http://arxiv.org/abs/1907.10407v1

    • [cs.CY]Green AI
    Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni
    http://arxiv.org/abs/1907.10597v1

    • [cs.CY]Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence
    Ciro Greco, Andrea Polonioli, Jacopo Tagliabue
    http://arxiv.org/abs/1907.10424v1

    • [cs.DB]The sameAs Problem: A Survey on Identity Management in the Web of Data
    Joe Raad, Nathalie Pernelle, Fatiha Saïs, Wouter Beek, Frank van Harmelen
    http://arxiv.org/abs/1907.10528v1

    • [cs.DC]Live Forensics for Distributed Storage Systems
    Saurabh Jha, Shengkun Cui, Tianyin Xu, Jeremy Enos, Mike Showerman, Mark Dalton, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer
    http://arxiv.org/abs/1907.10203v1

    • [cs.DC]Scalable and Secure Computation Among Strangers: Resource-Competitive Byzantine Protocols
    John Augustine, Valerie King, Anisur R. Molla Gopal Pandurangan, Jared Saia
    http://arxiv.org/abs/1907.10308v1

    • [cs.DC]Secure and Transparent Audit Logs with BlockAudit
    Ashar Ahmad, Muhammad Saad, Aziz Mohaisen
    http://arxiv.org/abs/1907.10484v1

    • [cs.DS]P-SLOCAL-Completeness of Maximum Independent Set Approximation
    Yannic Maus
    http://arxiv.org/abs/1907.10499v1

    • [cs.ET]Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays
    Hyungjun Kim, Malte Rasch, Tayfun Gokmen, Takashi Ando, Hiroyuki Miyazoe, Jae-Joon Kim, John Rozen, Seyoung Kim
    http://arxiv.org/abs/1907.10228v1

    • [cs.IR]Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products
    Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber
    http://arxiv.org/abs/1907.10409v1

    • [cs.IT]Distributed Power Control with Partial Channel State Information: Performance Characterization and Design
    Chao Zhang, Samson Lasaulce, Achal Agrawal, Raphael Visoz
    http://arxiv.org/abs/1907.10153v1

    • [cs.IT]Observability Analysis for Large-Scale Power Systems Using Factor Graphs
    Mirsad Cosovic, Dejan Vukobratovic
    http://arxiv.org/abs/1907.10338v1

    • [cs.IT]On Reciprocity in Physically Consistent TDD Systems with Coupled Antennas
    Tobias Laas, Josef A. Nossek, Samer Bazzi, Wen Xu
    http://arxiv.org/abs/1907.10562v1

    • [cs.IT]Receding Horizon Optimization for Energy-Efficient UAV Communication
    Jingwei Zhang, Yong Zeng, Rui Zhang
    http://arxiv.org/abs/1907.10242v1

    • [cs.LG]A Fine-Grained Spectral Perspective on Neural Networks
    Greg Yang, Hadi Salman
    http://arxiv.org/abs/1907.10599v1

    • [cs.LG]A Neural Network Based On-device Learning Anomaly Detector for Edge Devices
    Mineto Tsukada, Masaaki Kondo, Hiroki Matsutani
    http://arxiv.org/abs/1907.10147v1

    • [cs.LG]A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training
    Sumedh Yadav, Mathis Bode
    http://arxiv.org/abs/1907.10421v1

    • [cs.LG]Achieving Fairness in the Stochastic Multi-armed Bandit Problem
    Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari
    http://arxiv.org/abs/1907.10516v1

    • [cs.LG]Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction
    Luca Anthony Thiede, Pratik Prabhanjan Brahma
    http://arxiv.org/abs/1907.10178v1

    • [cs.LG]Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine
    Dibyasundar Das, Deepak Ranjan Nayak, Ratnaka Dash, Banshidhar Majhi
    http://arxiv.org/abs/1907.10282v1

    • [cs.LG]Classification from Triplet Comparison Data
    Zhenghang Cui, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama
    http://arxiv.org/abs/1907.10225v1

    • [cs.LG]Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties
    Alonso Marco, Dominik Baumann, Philipp Hennig, Sebastian Trimpe
    http://arxiv.org/abs/1907.10383v1

    • [cs.LG]Constrained K-means with General Pairwise and Cardinality Constraints
    Adel Bibi, Baoyuan Wu, Bernard Ghanem
    http://arxiv.org/abs/1907.10410v1

    • [cs.LG]Discriminative Consistent Domain Generation for Semi-supervised Learning
    Jun Chen, Heye Zhang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David Firmin, Guang Yang, Jennifer Keegan
    http://arxiv.org/abs/1907.10267v1

    • [cs.LG]Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy
    Yijie Guo, Jongwook Choi, Marcin Moczulski, Samy Bengio, Mohammad Norouzi, Honglak Lee
    http://arxiv.org/abs/1907.10247v1

    • [cs.LG]Fairness in Reinforcement Learning
    Paul Weng
    http://arxiv.org/abs/1907.10323v1

    • [cs.LG]GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision
    Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
    http://arxiv.org/abs/1907.10085v1

    • [cs.LG]Higher-Order Function Networks for Learning Composable 3D Object Representations
    Eric Mitchell, Selim Engin, Volkan Isler, Daniel D Lee
    http://arxiv.org/abs/1907.10388v1

    • [cs.LG]Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques
    Sara Mohammadinejad, Jyotirmoy V. Deshmukh, Aniruddh G. Puranic, Marcell Vazquez-Chanlatte, Alexandre Donzé
    http://arxiv.org/abs/1907.10265v1

    • [cs.LG]Noise Contrastive Variational Autoencoders
    Octavian-Eugen Ganea, Yashas Annadani, Gary Bécigneul
    http://arxiv.org/abs/1907.10430v1

    • [cs.LG]Notes on Latent Structure Models and SPIGOT
    André F. T. Martins, Vlad Niculae
    http://arxiv.org/abs/1907.10348v1

    • [cs.LG]Optimal Transport-based Alignment of Learned Character Representations for String Similarity
    Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
    http://arxiv.org/abs/1907.10165v1

    • [cs.LG]Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising
    Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores
    http://arxiv.org/abs/1907.10235v1

    • [cs.LG]Robust and Communication-Efficient Collaborative Learning
    Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
    http://arxiv.org/abs/1907.10595v1

    • [cs.LG]Scaling Back-propagation by Parallel Scan Algorithm
    Shang Wang, Yifan Bai, Gennady Pekhimenko
    http://arxiv.org/abs/1907.10134v1

    • [cs.LG]Self-attention based BiLSTM-CNN classifier for the prediction of ischemic and non-ischemic cardiomyopathy
    Kavita Dubey, Anant Agarwal, Astitwa Sarthak Lathe, Ranjeet Kumar, Vishal Srivastava
    http://arxiv.org/abs/1907.10370v1

    • [cs.LG]Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning
    Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam
    http://arxiv.org/abs/1907.10580v1

    • [cs.LO]Inconsistency Proofs for ASP: The ASP-DRUPE Format
    Mario Alviano, Carmine Dodaro, Johannes K. Fichte, Markus Hecher, Tobias Philipp, Jakob Rath
    http://arxiv.org/abs/1907.10389v1

    • [cs.LO]Partial Compilation of ASP Programs
    Bernardo Cuteri, Carmine Dodaro, Francesco Ricca, Peter Schüller
    http://arxiv.org/abs/1907.10469v1

    • [cs.LO]Towards Logical Specification of Statistical Machine Learning
    Yusuke Kawamoto
    http://arxiv.org/abs/1907.10327v1

    • [cs.NI]Learning Wi-Fi Connection Loss Predictions for Seamless Vertical Handovers Using Multipath TCP
    Jonas Höchst, Artur Sterz, Alexander Frömmgen, Denny Stohr, Ralf Steinmetz, Bernd Freisleben
    http://arxiv.org/abs/1907.10493v1

    • [cs.PL]A Case for Stale Synchronous Distributed Model for Declarative Recursive Computation
    Ariyam Das, Carlo Zaniolo
    http://arxiv.org/abs/1907.10278v1

    • [cs.RO]An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem
    Christian Henkel, Jannik Abbenseth, Marc Toussaint
    http://arxiv.org/abs/1907.10360v1

    • [cs.RO]Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors
    Yeping Hu, Liting Sun, Masayoshi Tomizuka
    http://arxiv.org/abs/1907.10170v1

    • [cs.RO]Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation
    Nils Wilde, Alexandru Blidaru, Stephen L. Smith, Dana Kulić
    http://arxiv.org/abs/1907.10412v1

    • [cs.RO]Reflective-AR Display: An Interaction Methodology for Virtual-Real Alignment in Medical Robotics
    Javad Fotouhi, Tianyu Song, Arian Mehrfard, Giacomo Taylor, Alejandro Martin-Gomez, Bernhard Fuerst, Mehran Armand, Mathias Unberath, Nassir Navab
    http://arxiv.org/abs/1907.10138v1

    • [cs.SI]Detecting Stable Communities in Link Streams at Multiple Temporal Scales
    Souaad Boudebza, Remy Cazabet, Omar Nouali, Faical Azouaou
    http://arxiv.org/abs/1907.10453v1

    • [cs.SI]Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks
    Georgios Katsimpras, Georgios Paliouras
    http://arxiv.org/abs/1907.10416v1

    • [eess.AS]A Deep Neural Network for Short-Segment Speaker Recognition
    Amirhossein Hajavi, Ali Etemad
    http://arxiv.org/abs/1907.10420v1

    • [eess.AS]LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization
    Qingjian Lin, Ruiqing Yin, Ming Li, Hervé Bredin, Claude Barras
    http://arxiv.org/abs/1907.10393v1

    • [eess.AS]Non-Parallel Voice Conversion with Cyclic Variational Autoencoder
    Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda
    http://arxiv.org/abs/1907.10185v1

    • [eess.IV]A CNN-based tool for automatic tongue contour tracking in ultrasound images
    Jian Zhu, Will Styler, Ian Calloway
    http://arxiv.org/abs/1907.10210v1

    • [eess.IV]A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry
    Kai Zhang, Alireza Entezari
    http://arxiv.org/abs/1907.10526v1

    • [eess.IV]Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound
    Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
    http://arxiv.org/abs/1907.10257v1

    • [eess.IV]Blind Deblurring using Deep Learning: A Survey
    Siddhant Sahu, Manoj Kumar Lenka, Pankaj Kumar Sa
    http://arxiv.org/abs/1907.10128v1

    • [eess.IV]Computer Aided Detection of Deep Inferior Epigastric Perforators in Computed Tomography Angiography scans
    Ricardo J. Araújo, Vera Garrido, Catarina A. Baraças, Maria A. Vasconcelos, Carlos Mavioso, João C. Anacleto, Maria J. Cardoso, Hélder P. Oliveira
    http://arxiv.org/abs/1907.10354v1

    • [eess.IV]Convolutional neural network stacking for medical image segmentation in CT scans
    Marie Kloenne, Sebastian Niehaus, Leonie Lampe, Alberto Merola, Janis Reinelt, Nico Scherf
    http://arxiv.org/abs/1907.10132v1

    • [eess.IV]Image Super-Resolution Using a Wavelet-based Generative Adversarial Network
    Qi Zhang, Huafeng Wang, Sichen Yang
    http://arxiv.org/abs/1907.10213v1

    • [eess.IV]Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks
    Aimon Rahman, Hasib Zunair, M Sohel Rahman, Jesia Quader Yuki, Sabyasachi Biswas, Md Ashraful Alam, Nabila Binte Alam, M. R. C. Mahdy
    http://arxiv.org/abs/1907.10418v1

    • [eess.IV]Maximum likelihood estimation for disk image parameters
    Matwey V. Kornilov
    http://arxiv.org/abs/1907.10557v1

    • [eess.IV]Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery
    Florian Kordon, Peter Fischer, Maxim Privalov, Benedict Swartman, Marc Schnetzke, Jochen Franke, Ruxandra Lasowski, Andreas Maier, Holger Kunze
    http://arxiv.org/abs/1907.10465v1

    • [eess.IV]Predicting Clinical Outcome of Stroke Patients with Tractographic Feature
    Po-Yu Kao, Jefferson W. Chen, B. S. Manjunath
    http://arxiv.org/abs/1907.10419v1

    • [eess.SP]A neural network based post-filter for speech-driven head motion synthesis
    JinHong Lu, Hiroshi Shimodaira
    http://arxiv.org/abs/1907.10585v1

    • [eess.SP]BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks
    Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic
    http://arxiv.org/abs/1907.10515v1

    • [eess.SP]Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications
    Guanglin Tang, Yulong Yan, Chenyang Shen, Xun Jia, Meyer Zinn, Zipalkumar Trivedi, Alicia Yingling, Kenneth Westover, Steve Jiang
    http://arxiv.org/abs/1907.10554v1

    • [eess.SP]Early Anomaly Detection in Power Systems Based on Random Matrix Theory
    Xin Shi, Robert Qiu
    http://arxiv.org/abs/1907.10485v1

    • [hep-th]Searching the Landscape of Flux Vacua with Genetic Algorithms
    Alex Cole, Andreas Schachner, Gary Shiu
    http://arxiv.org/abs/1907.10072v1

    • [math.OC]Infection-Curing Games over Polya Contagion Networks
    Greg Harrington, Fady Alajaji, Bahman Gharesifard
    http://arxiv.org/abs/1907.10570v1

    • [math.OC]Sparse Optimization on Measures with Over-parameterized Gradient Descent
    Lenaic Chizat
    http://arxiv.org/abs/1907.10300v1

    • [math.PR]Universality of the Langevin diffusion as scaling limit of a family of Metropolis-Hastings processes
    Michael C. H. Choi
    http://arxiv.org/abs/1907.10318v1

    • [math.ST]Exploring the Distributional Properties of the Non-Gaussian Random Field Models
    Behzad Mahmoudian
    http://arxiv.org/abs/1907.10114v1

    • [math.ST]Graph inference with clustering and false discovery rate control
    Tabea Rebafka, Etienne Roquain, Fanny Villers
    http://arxiv.org/abs/1907.10176v1

    • [math.ST]Sparse Regularization for Mixture Problems
    Yohann de Castro, Sébastien Gadat, Clément Marteau, Cathy Maugis-Rabusseau
    http://arxiv.org/abs/1907.10592v1

    • [physics.comp-ph]Machine Learning the Tangent Space of Dynamical Instabilities from Data
    Antoine Blanchard, Themistoklis P. Sapsis
    http://arxiv.org/abs/1907.10413v1

    • [physics.data-an]A geometric approach to the transport of discontinuous densities
    Caroline Moosmüller, Felix Dietrich, Ioannis G. Kevrekidis
    http://arxiv.org/abs/1907.08260v2

    • [physics.ed-ph]Training future teachers in natural sciences and mathematics by means of computer simulation: a social constructivist approach
    Oleksandr Teplytskyi, Illia Teplytskyi, Serhiy Semerikov, Vladimir Soloviev
    http://arxiv.org/abs/1907.09726v1

    • [physics.soc-ph]Political network of central power agents: case of missi dominici
    Andrey Grunin
    http://arxiv.org/abs/1907.09612v1

    • [q-fin.RM]Multivariate Modeling of Natural Gas Spot Trading Hubs Incorporating Futures Market Realized Volatility
    Michael Weylandt, Yu Han, Katherine B. Ensor
    http://arxiv.org/abs/1907.10152v1

    • [quant-ph]A neural network oracle for quantum nonlocality problems in networks
    Tamás Kriváchy, Yu Cai, Daniel Cavalcanti, Arash Tavakoli, Nicolas Gisin, Nicolas Brunner
    http://arxiv.org/abs/1907.10552v1

    • [stat.AP]Comparison of Multi-response Estimation Methods
    Raju Rimal, Trygve Almøy, Solve Sæbø
    http://arxiv.org/abs/1907.10524v1

    • [stat.AP]Testing new property of elliptical model for stock returns distribution
    Petr Koldanov
    http://arxiv.org/abs/1907.10306v1

    • [stat.AP]The effect of short-term exposure to the natural environment on depressive mood: A systematic review and meta-analysis
    Hannah Roberts, Caspar van Lissa, Paulien Hagedoorn, Ian Kellar, Marco Helbich
    http://arxiv.org/abs/1907.10013v2

    • [stat.AP]Uncertainty in the MAN Data Calibration & Trend Estimates
    William M. Briggs, Jaap Hanekamp
    http://arxiv.org/abs/1907.10173v1

    • [stat.CO]Transport Monte Carlo
    Leo L. Duan
    http://arxiv.org/abs/1907.10448v1

    • [stat.ME]Approximate Bayesian inference for a “steps and turns” continuous-time random walk observed at regular time intervals
    Sofia Ruiz-Suarez, Vianey Leos-Barajas, Ignacio Alvarez-Castro, Juan M. Morales
    http://arxiv.org/abs/1907.10115v1

    • [stat.ME]Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data
    Shinichiro Shirota, Andrew O. Finley, Bruce D. Cook, Sudipto Banerjee
    http://arxiv.org/abs/1907.10109v1

    • [stat.ME]Estimation of ordinary differential equation models with discretization error quantification
    Takeru Matsuda, Yuto Miyatake
    http://arxiv.org/abs/1907.10565v1

    • [stat.ME]High-dimensional inference using the extremal skew-$t$ process
    B. Beranger, A. G. Stephenson, S. A. Sisson
    http://arxiv.org/abs/1907.10187v1

    • [stat.ME]Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study
    Mityl Biswas, Arnab Maity
    http://arxiv.org/abs/1907.10207v1

    • [stat.ME]New frontiers in Bayesian modeling using the INLA package in R
    Janet van Niekerk, Haakon Bakka, Haavard Rue, Loaf Schenk
    http://arxiv.org/abs/1907.10426v1

    • [stat.ME]Sample Size Calculations in Simple Linear Regression: Trials and Tribulations
    Tianyuan Guan, M. Khorshed Alam, M. Bhaskara Rao
    http://arxiv.org/abs/1907.10569v1

    • [stat.ME]Sharp bounds on the relative treatment effect for ordinal outcomes
    Jiannan Lu, Yunzhu Zhang, Peng Ding
    http://arxiv.org/abs/1907.10287v1

    • [stat.ME]Simulating an infinite mean waiting time
    Krzysztof Bartoszek
    http://arxiv.org/abs/1907.10117v1

    • [stat.ML]Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
    Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai
    http://arxiv.org/abs/1907.10154v1

    • [stat.ML]On the relationship between variational inference and adaptive importance sampling
    Axel Finke, Alexandre H. Thiery
    http://arxiv.org/abs/1907.10477v1

    • [stat.ML]Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning
    Shi-Ju Ran, Zheng-Zhi Sun, Shao-Ming Fei, Gang Su, Maciej Lewenstein
    http://arxiv.org/abs/1907.10290v1