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