astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 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.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math-ph - 数学物理 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.PE - 人口与发展 q-fin.ST - 统计金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Data Aggregation In The Astroparticle Physics Distributed Data Storage
• [cs.AI]ASNets: Deep Learning for Generalised Planning
• [cs.AI]Automatic Game Design via Mechanic Generation
• [cs.AI]Automatic Playtesting for Game Parameter Tuning via Active Learning
• [cs.AI]Corrigibility with Utility Preservation
• [cs.AI]Monte-Carlo Tree Search for Simulation-based Strategy Analysis
• [cs.AI]Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction
• [cs.CE]Solving high-dimensional optimal stopping problems using deep learning
• [cs.CL]Automatic Fact-Checking Using Context and Discourse Information
• [cs.CL]Beyond English-only Reading Comprehension: Experiments in Zero-Shot Multilingual Transfer for Bulgarian
• [cs.CL]Multilingual Speech Recognition with Corpus Relatedness Sampling
• [cs.CL]Predicting Actions to Help Predict Translations
• [cs.CL]Processamento de linguagem natural em Português e aprendizagem profunda para o domínio de Óleo e Gás
• [cs.CL]SANTLR: Speech Annotation Toolkit for Low Resource Languages
• [cs.CL]Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations
• [cs.CL]Separating Argument Structure from Logical Structure in AMR
• [cs.CL]The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation
• [cs.CL]Thoth: Improved Rapid Serial Visual Presentation using Natural Language Processing
• [cs.CL]Word2vec to behavior: morphology facilitates the grounding of language in machines
• [cs.CR]A systematic review of fuzzing based on machine learning techniques
• [cs.CR]Robust Over-the-Air Adversarial Examples Against Automatic Speech Recognition Systems
• [cs.CV]3D Reconstruction of Deformable Revolving Object under Heavy Hand Interaction
• [cs.CV]A Fast Content-Based Image Retrieval Method Using Deep Visual Features
• [cs.CV]ABD-Net: Attentive but Diverse Person Re-Identification
• [cs.CV]ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal
• [cs.CV]Adaloss: Adaptive Loss Function for Landmark Localization
• [cs.CV]Adversarial Self-Defense for Cycle-Consistent GANs
• [cs.CV]Adversarial View-Consistent Learning for Monocular Depth Estimation
• [cs.CV]Attentive Normalization
• [cs.CV]Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve
• [cs.CV]Deep Neural Network for Semantic-based Text Recognition in Images
• [cs.CV]Fully Automatic Video Colorization with Self-Regularization and Diversity
• [cs.CV]GDRQ: Group-based Distribution Reshaping for Quantization
• [cs.CV]Image to Video Domain Adaptation Using Web Supervision
• [cs.CV]Image-Guided Depth Sampling and Reconstruction
• [cs.CV]Inference of visual field test performance from OCT volumes using deep learning
• [cs.CV]Kannada-MNIST: A new handwritten digits dataset for the Kannada language
• [cs.CV]Learning Compact Target-Oriented Feature Representations for Visual Tracking
• [cs.CV]Learning Guided Convolutional Network for Depth Completion
• [cs.CV]Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization
• [cs.CV]Learning a Unified Embedding for Visual Search at Pinterest
• [cs.CV]Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
• [cs.CV]Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
• [cs.CV]Model Decay in Long-Term Tracking
• [cs.CV]Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks
• [cs.CV]Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition
• [cs.CV]Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation
• [cs.CV]Revisiting Feature Alignment for One-stage Object Detection
• [cs.CV]Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation
• [cs.CV]SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
• [cs.CV]SF-Net: Structured Feature Network for Continuous Sign Language Recognition
• [cs.CV]Searching for Ambiguous Objects in Videos using Relational Referring Expressions
• [cs.CV]Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
• [cs.CV]Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models
• [cs.CV]Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning
• [cs.CV]Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification
• [cs.CV]SqueezeNAS: Fast neural architecture search for faster semantic segmentation
• [cs.CV]Theme Aware Aesthetic Distribution Prediction with Full Resolution Photos
• [cs.CV]To Learn or Not to Learn: Visual Localization from Essential Matrices
• [cs.CV]TopoTag: A Robust and Scalable Topological Fiducial Marker System
• [cs.CV]Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space
• [cs.CV]Visual-Relation Conscious Image Generation from Structured-Text
• [cs.CV]Walking with MIND: Mental Imagery eNhanceD Embodied QA
• [cs.CY]Gender and Racial Diversity in Commercial Brands’ Advertising Images on Social Media
• [cs.CY]Research Opportunities in Sociotechnical Interventions for Health Disparity Reduction
• [cs.CY]What is the Point of Fairness? Disability, AI and The Complexity of Justice
• [cs.DC]A Data Structure Perspective to the RDD-based Apriori Algorithm on Spark
• [cs.DC]EdgeMORE: Improving Resource Allocation with Multiple Options from Tenants
• [cs.DC]GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU
• [cs.DC]MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment
• [cs.DC]Repair Pipelining for Erasure-Coded Storage: Algorithms and Evaluation
• [cs.DC]Revisiting consensus protocols through wait-free parallelization
• [cs.DC]Scalable Byzantine Reliable Broadcast (Extended Version)
• [cs.DC]The fault-tolerant cluster-sending problem
• [cs.GT]Multiplayer Bandit Learning, from Competition to Cooperation
• [cs.HC]Machinic Surrogates: Human-Machine Relationships in Computational Creativity
• [cs.IR]Behavior Pattern and Compiled Information Based Performance Prediction in MOOCs
• [cs.IR]Improving IT Support by Enhancing Incident Management Process with Multi-modal Analysis
• [cs.IR]MMF: Attribute Interpretable Collaborative Filtering
• [cs.IR]Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content
• [cs.IR]The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach
• [cs.IT]A Rotation-based Method for Precoding in Gaussian MIMOME Channels
• [cs.IT]Beam Codebook Design for 5G mmWave Terminals
• [cs.IT]Constructive asymptotic bounds of locally repairable codes via function fields
• [cs.IT]Dependence Control for Reliability Optimization in Vehicular Networks
• [cs.IT]Downlink Analysis of NOMA-enabled Cellular Networks with 3GPP-inspired User Ranking
• [cs.IT]Exact BER Performance Analysis for Downlink NOMA Systems Over Nakagami-m Fading Channels
• [cs.IT]Minimal linear codes from characteristic functions
• [cs.IT]Minimum Energy for Gaussian Joint source-channel Coding with a Square-law Distortion-Noise Profile
• [cs.IT]Minimum-Latency FEC Design with Delayed Feedback: Mathematical Modeling and Efficient Algorithms
• [cs.IT]On Euclidean Hulls of MDS Codes
• [cs.IT]On the Energy and Data Storage Management in Energy Harvesting Wireless Communications
• [cs.IT]Optimal Information Updating based on Value of Information
• [cs.IT]Optimal Scheduling for Discounted Age Penalty Minimization in Multi-Loop Networked Control
• [cs.IT]Private Sequential Function Computation
• [cs.IT]Protograph LDPC Code Design for Asynchronous Random Access
• [cs.IT]Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints
• [cs.LG]A principled approach for generating adversarial images under non-smooth dissimilarity metrics
• [cs.LG]A study in Rashomon curves and volumes: A new perspective on generalization and model simplicity in machine learning
• [cs.LG]Building Deep, Equivariant Capsule Networks
• [cs.LG]ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
• [cs.LG]Deep Reinforcement Learning in System Optimization
• [cs.LG]Dimensionality Reduction Flows
• [cs.LG]Discovery of Bias and Strategic Behavior in Crowdsourced Performance Assessment
• [cs.LG]Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition
• [cs.LG]Distributed Deep Convolutional Neural Networks for the Internet-of-Things
• [cs.LG]Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
• [cs.LG]Dueling Posterior Sampling for Preference-Based Reinforcement Learning
• [cs.LG]GAN Path Finder: Preliminary results
• [cs.LG]Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost
• [cs.LG]Invariance-based Adversarial Attack on Neural Machine Translation Systems
• [cs.LG]Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation
• [cs.LG]Knowledge Isomorphism between Neural Networks
• [cs.LG]Learning to Generalize to Unseen Tasks with Bilevel Optimization
• [cs.LG]Learning to Transport with Neural Networks
• [cs.LG]Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series
• [cs.LG]MoGA: Searching Beyond MobileNetV3
• [cs.LG]Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines
• [cs.LG]Nonparametric Contextual Bandits in an Unknown Metric Space
• [cs.LG]On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks
• [cs.LG]Path Length Bounds for Gradient Descent and Flow
• [cs.LG]Real-time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters
• [cs.LG]RuleKit: A Comprehensive Suite for Rule-Based Learning
• [cs.LG]Semi-supervised representation learning via dual autoencoders for domain adaptation
• [cs.LG]Simultaneous Clustering and Optimization for Evolving Datasets
• [cs.LG]The HSIC Bottleneck: Deep Learning without Back-Propagation
• [cs.LG]The Myths of Our Time: Fake News
• [cs.LG]The Use of Binary Choice Forests to Model and Estimate Discrete Choice Models
• [cs.LG]Toward Understanding Catastrophic Forgetting in Continual Learning
• [cs.LG]Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and Enable Continual Learning
• [cs.NE]Construction of Macro Actions for Deep Reinforcement Learning
• [cs.RO]Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation
• [cs.RO]Analysis and Exploitation of Synchronized Parallel Executions in Behavior Trees
• [cs.RO]On Flying Backwards: Preventing Run-away of Small, Low-speed, Fixed-wing UAVs in Strong Winds
• [cs.RO]Remote Mobile Manipulation with the Centauro Robot: Full-body Telepresence and Autonomous Operator Assistance
• [cs.RO]Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components
• [cs.RO]Situation-Aware Left-Turning Connected and Automated Vehicle Operation at Signalized Intersections
• [cs.SD]LSTM Based Music Generation System
• [cs.SD]V2S attack: building DNN-based voice conversion from automatic speaker verification
• [cs.SI]A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management
• [cs.SI]Characterising complex healthcare systems using network science: The small world of emergency surgery
• [cs.SI]Incorporating Structural Stigma into Network Analysis
• [cs.SI]Innovative ranking strategy for IPL team formation
• [cs.SI]Modeling Event Propagation via Graph Biased Temporal Point Process
• [cs.SI]Network Inference from Consensus Dynamics with Unknown Parameters
• [cs.SI]Network Shrinkage Estimation
• [cs.SI]Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
• [cs.SI]The General Black-box Attack Method for Graph Neural Networks
• [econ.EM]Detecting the Hot Hand: Tests of Randomness Against Streaky Alternatives in Bernoulli Sequences
• [econ.EM]Estimating Unobserved Individual Heterogeneity Using Pairwise Comparisons
• [eess.AS]Sound Event Detection in Multichannel Audio using Convolutional Time-Frequency-Channel Squeeze and Excitation
• [eess.IV]ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
• [eess.IV]Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging
• [eess.IV]Automatic segmentation of kidney and liver tumors in CT images
• [eess.IV]BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization
• [eess.IV]CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network
• [eess.IV]CameraNet: A Two-Stage Framework for Effective Camera ISP Learning
• [eess.IV]Imaging with highly incomplete and corrupted data
• [eess.IV]Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning
• [eess.IV]Multi-Contrast Super-Resolution MRI Through a Progressive Network
• [eess.IV]Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams
• [eess.IV]Restricted Linearized Augmented Lagrangian Method for Euler’s Elastica Model
• [eess.IV]Review of Algorithms for Compressive Sensing of Images
• [eess.IV]U-Net Fixed-Point Quantization for Medical Image Segmentation
• [eess.IV]Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network
• [eess.SP]A Unifying Analysis of Shift Operators on a Graph
• [eess.SP]Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping
• [eess.SY]Distributed Adaptive Coverage Control of Differential Drive Robotic Sensors
• [math-ph]Elements of Generalized Tsallis Relative Entropy in Classical Information Theory
• [math.NA]A Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations
• [math.OC]A Survey on Compressive Sensing: Classical Results and Recent Advancements
• [math.OC]Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: II — The Finite Horizon Case
• [math.OC]Hopfield Neural Network Flow: A Geometric Viewpoint
• [math.OC]On the modes of convergence of Stochastic Optimistic Mirror Descent (OMD) for saddle point problems
• [math.PR]Pairwise Multi-marginal Optimal Transport via Universal Poisson Coupling
• [math.PR]Sequential tracking of an unobservable two-state Markov process under Brownian noise
• [math.ST]Efficient Truncated Statistics with Unknown Truncation
• [math.ST]Learning Latent Factors from Diversified Projections and its Applications to Over-Estimated and Weak Factors
• [math.ST]Random Tensors and their Normal Distributions
• [math.ST]Regression-adjusted average treatment effect estimates in stratified and sequentially randomized experiments
• [q-bio.PE]Antioxidant capacity is repeatable across years but does not consistently correlate with a marker of peroxidation in a free-living passerine bird
• [q-fin.ST]Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
• [quant-ph]Machine-learning based three-qubit gate for realization of a Toffoli gate with cQED-based transmon systems
• [quant-ph]Quantum-enhanced least-square support vector machine: simplified quantum algorithm and sparse solutions
• [stat.AP]Asymptotically consistent prediction of extremes in chaotic systems:1 stationary case
• [stat.AP]Defence Against the Modern Arts: the Curse of Statistics — FRStat
• [stat.AP]Forecasting age distribution of death counts: An application to annuity pricing
• [stat.AP]Interpretable brain age prediction using linear latent variable models of functional connectivity
• [stat.AP]Performance of variable and function selection methods for estimating the non-linear health effects of correlated chemical mixtures: a simulation study
• [stat.AP]Sensitivity Analysis of Treatment Effect to Unmeasured Confounding in Observational Studies with Survival and Competing Risks Outcomes
• [stat.ME]Effect of Interim Adaptations in Group Sequential Designs
• [stat.ME]Full-semiparametric-likelihood-based inference for non-ignorable missing data
• [stat.ME]Identifying Treatment Effects using Trimmed Means when Data are Missing Not at Random
• [stat.ME]Leveraging Random Assignment in Multiple Imputation of Missing Covariates in Causal Studies
• [stat.ME]Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances
• [stat.ML]Ensemble Neural Networks (ENN): A gradient-free stochastic method
• [stat.ML]Extending the step-size restriction for gradient descent to avoid strict saddle points
• [stat.ML]Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting
• [stat.ML]Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
• [stat.ML]Spatio-Temporal RBF Neural Networks
·····································
• [astro-ph.IM]Data Aggregation In The Astroparticle Physics Distributed Data Storage
Minh-Duc Nguyen, Alexander Kryukov, Julia Dubenskaya, Elena Korosteleva, Igor Bychkov, Andrey Mikhailov, Alexey Shigarov
http://arxiv.org/abs/1908.01554v1
• [cs.AI]ASNets: Deep Learning for Generalised Planning
Sam Toyer, Felipe Trevizan, Sylvie Thiébaux, Lexing Xie
http://arxiv.org/abs/1908.01362v1
• [cs.AI]Automatic Game Design via Mechanic Generation
Alexander Zook, Mark O. Riedl
http://arxiv.org/abs/1908.01420v1
• [cs.AI]Automatic Playtesting for Game Parameter Tuning via Active Learning
Alexander Zook, Eric Fruchter, Mark O. Riedl
http://arxiv.org/abs/1908.01417v1
• [cs.AI]Corrigibility with Utility Preservation
Koen Holtman
http://arxiv.org/abs/1908.01695v1
• [cs.AI]Monte-Carlo Tree Search for Simulation-based Strategy Analysis
Alexander Zook, Brent Harrison, Mark O. Riedl
http://arxiv.org/abs/1908.01423v1
• [cs.AI]Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction
Nusrah Hussain, Engin Erzin, T. Metin Sezgin, Yucel Yemez
http://arxiv.org/abs/1908.01618v1
• [cs.CE]Solving high-dimensional optimal stopping problems using deep learning
Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Timo Welti
http://arxiv.org/abs/1908.01602v1
• [cs.CL]Automatic Fact-Checking Using Context and Discourse Information
Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, James Glass
http://arxiv.org/abs/1908.01328v1
• [cs.CL]Beyond English-only Reading Comprehension: Experiments in Zero-Shot Multilingual Transfer for Bulgarian
Momchil Hardalov, Ivan Koychev, Preslav Nakov
http://arxiv.org/abs/1908.01519v1
• [cs.CL]Multilingual Speech Recognition with Corpus Relatedness Sampling
Xinjian Li, Siddharth Dalmia, Alan W. Black, Florian Metze
http://arxiv.org/abs/1908.01060v1
• [cs.CL]Predicting Actions to Help Predict Translations
Zixiu Wu, Julia Ive, Josiah Wang, Pranava Madhyastha, Lucia Specia
http://arxiv.org/abs/1908.01665v1
• [cs.CL]Processamento de linguagem natural em Português e aprendizagem profunda para o domínio de Óleo e Gás
Diogo Gomes
http://arxiv.org/abs/1908.01674v1
• [cs.CL]SANTLR: Speech Annotation Toolkit for Low Resource Languages
Xinjian Li, Zhong Zhou, Siddharth Dalmia, Alan W. Black, Florian Metze
http://arxiv.org/abs/1908.01067v1
• [cs.CL]Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations
Chanatip Saetia, Ekapol Chuangsuwanich, Tawunrat Chalothorn, Peerapon Vateekul
http://arxiv.org/abs/1908.01294v1
• [cs.CL]Separating Argument Structure from Logical Structure in AMR
Johan Bos
http://arxiv.org/abs/1908.01355v1
• [cs.CL]The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation
Magdalena Biesialska, Lluis Guardia, Marta R. Costa-jussà
http://arxiv.org/abs/1908.01192v1
• [cs.CL]Thoth: Improved Rapid Serial Visual Presentation using Natural Language Processing
David Awad
http://arxiv.org/abs/1908.01699v1
• [cs.CL]Word2vec to behavior: morphology facilitates the grounding of language in machines
David Matthews, Sam Kriegman, Collin Cappelle, Josh Bongard
http://arxiv.org/abs/1908.01211v1
• [cs.CR]A systematic review of fuzzing based on machine learning techniques
Yan Wang, Peng Jia, Luping Liu, Jiayong Liu
http://arxiv.org/abs/1908.01262v1
• [cs.CR]Robust Over-the-Air Adversarial Examples Against Automatic Speech Recognition Systems
Lea Schönherr, Steffen Zeiler, Thorsten Holz, Dorothea Kolossa
http://arxiv.org/abs/1908.01551v1
• [cs.CV]3D Reconstruction of Deformable Revolving Object under Heavy Hand Interaction
Raoul de Charette, Sotiris Manitsaris
http://arxiv.org/abs/1908.01523v1
• [cs.CV]A Fast Content-Based Image Retrieval Method Using Deep Visual Features
Hiroki Tanioka
http://arxiv.org/abs/1908.01505v1
• [cs.CV]ABD-Net: Attentive but Diverse Person Re-Identification
Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang
http://arxiv.org/abs/1908.01114v1
• [cs.CV]ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal
Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao
http://arxiv.org/abs/1908.01323v1
• [cs.CV]Adaloss: Adaptive Loss Function for Landmark Localization
Brian Teixeira, Birgi Tamersoy, Vivek Singh, Ankur Kapoor
http://arxiv.org/abs/1908.01070v1
• [cs.CV]Adversarial Self-Defense for Cycle-Consistent GANs
Dina Bashkirova, Ben Usman, Kate Saenko
http://arxiv.org/abs/1908.01517v1
• [cs.CV]Adversarial View-Consistent Learning for Monocular Depth Estimation
Yixuan Liu, Yuwang Wang, Shengjin Wang
http://arxiv.org/abs/1908.01301v1
• [cs.CV]Attentive Normalization
Xilai Li, Wei Sun, Tianfu Wu
http://arxiv.org/abs/1908.01259v1
• [cs.CV]Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve
Dang Duy Thang, Toshihiro Matsui
http://arxiv.org/abs/1908.01469v1
• [cs.CV]Deep Neural Network for Semantic-based Text Recognition in Images
Yi Zheng, Qitong Wang, Margrit Betke
http://arxiv.org/abs/1908.01403v1
• [cs.CV]Fully Automatic Video Colorization with Self-Regularization and Diversity
Chenyang Lei, Qifeng Chen
http://arxiv.org/abs/1908.01311v1
• [cs.CV]GDRQ: Group-based Distribution Reshaping for Quantization
Haibao Yu, Tuopu Wen, Guangliang Cheng, Jiankai Sun, Qi Han, Jianping Shi
http://arxiv.org/abs/1908.01477v1
• [cs.CV]Image to Video Domain Adaptation Using Web Supervision
Andrew Kae, Yale Song
http://arxiv.org/abs/1908.01449v1
• [cs.CV]Image-Guided Depth Sampling and Reconstruction
Adam Wolff, Shachar Praisler, Ilya Tcenov, Guy Gilboa
http://arxiv.org/abs/1908.01379v1
• [cs.CV]Inference of visual field test performance from OCT volumes using deep learning
Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, Rahil Garnav
http://arxiv.org/abs/1908.01428v1
• [cs.CV]Kannada-MNIST: A new handwritten digits dataset for the Kannada language
Vinay Uday Prabhu
http://arxiv.org/abs/1908.01242v1
• [cs.CV]Learning Compact Target-Oriented Feature Representations for Visual Tracking
Chenglong Li, Yan Huang, Liang Wang, Jin Tang, Liang Lin
http://arxiv.org/abs/1908.01442v1
• [cs.CV]Learning Guided Convolutional Network for Depth Completion
Jie Tang, Fei-Peng Tian, Wei Feng, Jian Li, Ping Tan
http://arxiv.org/abs/1908.01238v1
• [cs.CV]Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization
Yafei Song, Di Zhu, Jia Li, Yonghong Tian, Mingyang Li
http://arxiv.org/abs/1908.01180v1
• [cs.CV]Learning a Unified Embedding for Visual Search at Pinterest
Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg
http://arxiv.org/abs/1908.01707v1
• [cs.CV]Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler
http://arxiv.org/abs/1908.01210v1
• [cs.CV]Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
Huaxi Huang, Junjie Zhang, Jian Zhang, Jingsong Xu, Qiang Wu
http://arxiv.org/abs/1908.01313v1
• [cs.CV]Model Decay in Long-Term Tracking
Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders
http://arxiv.org/abs/1908.01603v1
• [cs.CV]Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks
Weilin Wan, Aaron Walsman, Dieter Fox
http://arxiv.org/abs/1908.01504v1
• [cs.CV]Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition
Xiaofeng Liu, Zhenhua Guo, Site Li, Lingsheng Kong, Ping Jia, Jane You, B. V. K. Kumar
http://arxiv.org/abs/1908.01174v1
• [cs.CV]Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation
Chao Wen, Yinda Zhang, Zhuwen Li, Yanwei Fu
http://arxiv.org/abs/1908.01491v1
• [cs.CV]Revisiting Feature Alignment for One-stage Object Detection
Yuntao Chen, Chenxia Han, Naiyan Wang, Zhaoxiang Zhang
http://arxiv.org/abs/1908.01570v1
• [cs.CV]Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation
Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zhengjun Zha, Meng Wang
http://arxiv.org/abs/1908.01266v1
• [cs.CV]SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
Boyuan Ma, Xiaojuan Ban, Haiyou Huang, Yu Zhu
http://arxiv.org/abs/1908.01703v1
• [cs.CV]SF-Net: Structured Feature Network for Continuous Sign Language Recognition
Zhaoyang Yang, Zhenmei Shi, Xiaoyong Shen, Yu-Wing Tai
http://arxiv.org/abs/1908.01341v1
• [cs.CV]Searching for Ambiguous Objects in Videos using Relational Referring Expressions
Hazan Anayurt, Sezai Artun Ozyegin, Ulfet Cetin, Utku Aktas, Sinan Kalkan
http://arxiv.org/abs/1908.01189v1
• [cs.CV]Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
Petra Bevandić, Ivan Krešo, Marin Oršić, Siniša Šegvić
http://arxiv.org/abs/1908.01098v1
• [cs.CV]Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models
Daniel Omeiza, Skyler Speakman, Celia Cintas, Komminist Weldermariam
http://arxiv.org/abs/1908.01224v1
• [cs.CV]Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning
Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang
http://arxiv.org/abs/1908.01281v1
• [cs.CV]Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification
Chih-Ting Liu, Chih-Wei Wu, Yu-Chiang Frank Wang, Shao-Yi Chien
http://arxiv.org/abs/1908.01683v1
• [cs.CV]SqueezeNAS: Fast neural architecture search for faster semantic segmentation
Albert Shaw, Daniel Hunter, Forrest Iandola, Sammy Sidhu
http://arxiv.org/abs/1908.01748v1
• [cs.CV]Theme Aware Aesthetic Distribution Prediction with Full Resolution Photos
Gengyun Jia, Peipei Li, Ran He
http://arxiv.org/abs/1908.01308v1
• [cs.CV]To Learn or Not to Learn: Visual Localization from Essential Matrices
Qunjie Zhou, Torsten Sattler, Marc Pollefeys, Laura Leal-Taixe
http://arxiv.org/abs/1908.01293v1
• [cs.CV]TopoTag: A Robust and Scalable Topological Fiducial Marker System
Guoxing Yu, Yongtao Hu, Jingwen Dai
http://arxiv.org/abs/1908.01450v1
• [cs.CV]Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space
Xiaochuan Yin, Chengju Liu
http://arxiv.org/abs/1908.01367v1
• [cs.CV]Visual-Relation Conscious Image Generation from Structured-Text
Duc Minh Vo, Akihiro Sugimoto
http://arxiv.org/abs/1908.01741v1
• [cs.CV]Walking with MIND: Mental Imagery eNhanceD Embodied QA
Juncheng Li, Siliang Tang, Fei Wu, Yueting Zhuang
http://arxiv.org/abs/1908.01482v1
• [cs.CY]Gender and Racial Diversity in Commercial Brands’ Advertising Images on Social Media
Jisun An, Haewoon Kwak
http://arxiv.org/abs/1908.01352v1
• [cs.CY]Research Opportunities in Sociotechnical Interventions for Health Disparity Reduction
Katie Siek, Tiffany Veinot, Beth Mynatt
http://arxiv.org/abs/1908.01035v1
• [cs.CY]What is the Point of Fairness? Disability, AI and The Complexity of Justice
Os Keyes, Cynthia L. Bennett
http://arxiv.org/abs/1908.01024v1
• [cs.DC]A Data Structure Perspective to the RDD-based Apriori Algorithm on Spark
Pankaj Singh, Sudhakar Singh, P. K. Mishra, Rakhi Garg
http://arxiv.org/abs/1908.01338v1
• [cs.DC]EdgeMORE: Improving Resource Allocation with Multiple Options from Tenants
Andrea Araldo, Alessandro Di Stefano, Antonella Di Stefano
http://arxiv.org/abs/1908.01526v1
• [cs.DC]GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU
Carl Yang, Aydin Buluc, John D. Owens
http://arxiv.org/abs/1908.01407v1
• [cs.DC]MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment
Narges Mehran, Dragi Kimovski, Radu Prodan
http://arxiv.org/abs/1908.01153v1
• [cs.DC]Repair Pipelining for Erasure-Coded Storage: Algorithms and Evaluation
Xiaolu Li, Zuoru Yang, Jinhong Li, Runhui Li, Patrick P. C. Lee, Qun Huang, Yuchong Hu
http://arxiv.org/abs/1908.01527v1
• [cs.DC]Revisiting consensus protocols through wait-free parallelization
Suyash Gupta, Jelle Hellings, Mohammad Sadoghi
http://arxiv.org/abs/1908.01458v1
• [cs.DC]Scalable Byzantine Reliable Broadcast (Extended Version)
Rachid Guerraoui, Petr Kuznetsov, Matteo Monti, Matej Pavlovic, Dragos-Adrian Seredinschi
http://arxiv.org/abs/1908.01738v1
• [cs.DC]The fault-tolerant cluster-sending problem
Jelle Hellings, Mohammad Sadoghi
http://arxiv.org/abs/1908.01455v1
• [cs.GT]Multiplayer Bandit Learning, from Competition to Cooperation
Simina Brânzei, Yuval Peres
http://arxiv.org/abs/1908.01135v1
• [cs.HC]Machinic Surrogates: Human-Machine Relationships in Computational Creativity
Ardavan Bidgoli, Eunsu Kang, Daniel Cardoso Llach
http://arxiv.org/abs/1908.01133v1
• [cs.IR]Behavior Pattern and Compiled Information Based Performance Prediction in MOOCs
Shaojie Qu, Kan Li, Zheyi Fan, Sisi Wu, Xinyi Liu, Zhiguo Huang
http://arxiv.org/abs/1908.01304v1
• [cs.IR]Improving IT Support by Enhancing Incident Management Process with Multi-modal Analysis
Atri Mandal, Shivali Agarwal, Nikhil Malhotra, Giriprasad Sridhara, Anupama Ray, Daivik Swarup
http://arxiv.org/abs/1908.01351v1
• [cs.IR]MMF: Attribute Interpretable Collaborative Filtering
Yixin Su, Sarah Monazam Erfani, Rui Zhang
http://arxiv.org/abs/1908.01099v1
• [cs.IR]Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content
Muhammad Zubair Asghar, Fazli Subhan, Muhammad Imran, Fazal Masud Kundi, Shahboddin Shamshirband, Amir Mosavi, Peter Csiba, Annamaria R. Varkonyi-Koczy
http://arxiv.org/abs/1908.01587v1
• [cs.IR]The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach
Elisabeth Lex, Dominik Kowald
http://arxiv.org/abs/1908.00977v1
• [cs.IT]A Rotation-based Method for Precoding in Gaussian MIMOME Channels
Xinliang Zhang, Yue Qi, Mojtaba Vaezi
http://arxiv.org/abs/1908.00994v1
• [cs.IT]Beam Codebook Design for 5G mmWave Terminals
Jianhua Mo, Boon Loong Ng, Sanghyun Chang, Pengda Huang, Mandar Kulkarni, Ahmad AlAmmouri, Jianzhong Charlie Zhang, Jeongheum Lee, Won-Joon Choi
http://arxiv.org/abs/1908.01004v1
• [cs.IT]Constructive asymptotic bounds of locally repairable codes via function fields
Liming Ma, Chaoping Xing
http://arxiv.org/abs/1908.01471v1
• [cs.IT]Dependence Control for Reliability Optimization in Vehicular Networks
Tengchan Zeng, Omid Semiari, Walid Saad, Mehdi Bennis
http://arxiv.org/abs/1908.01182v1
• [cs.IT]Downlink Analysis of NOMA-enabled Cellular Networks with 3GPP-inspired User Ranking
Praful D. Mankar, Harpreet S. Dhillon
http://arxiv.org/abs/1908.01460v1
• [cs.IT]Exact BER Performance Analysis for Downlink NOMA Systems Over Nakagami-m Fading Channels
Tasneem Assaf, Arafat Al-Dweik, Mohamed El Moursi, Hatem Zeineldin
http://arxiv.org/abs/1908.01357v1
• [cs.IT]Minimal linear codes from characteristic functions
Sihem Mesnager, Yanfeng Qi, Hongming Ru, Chunming Tang
http://arxiv.org/abs/1908.01650v1
• [cs.IT]Minimum Energy for Gaussian Joint source-channel Coding with a Square-law Distortion-Noise Profile
Mohammadamin Baniasadi, Ertem Tuncel
http://arxiv.org/abs/1908.01463v1
• [cs.IT]Minimum-Latency FEC Design with Delayed Feedback: Mathematical Modeling and Efficient Algorithms
Xiaoli Xu, Yong Zeng, Yonghui Li, Branka Vucetic
http://arxiv.org/abs/1908.01298v1
• [cs.IT]On Euclidean Hulls of MDS Codes
Xiaolei Fang, Meiqing Liu, Jinquan Luo
http://arxiv.org/abs/1908.01173v1
• [cs.IT]On the Energy and Data Storage Management in Energy Harvesting Wireless Communications
Sami Akın, M Cenk Gursoy
http://arxiv.org/abs/1908.01726v1
• [cs.IT]Optimal Information Updating based on Value of Information
Rahul Singh, Gopal Krishna Kamath, P. R. Kumar
http://arxiv.org/abs/1908.01119v1
• [cs.IT]Optimal Scheduling for Discounted Age Penalty Minimization in Multi-Loop Networked Control
Onur Ayan, Mikhail Vilgelm, Wolfgang Kellerer
http://arxiv.org/abs/1908.01503v1
• [cs.IT]Private Sequential Function Computation
Behrooz Tahmasebi, Mohammad Ali Maddah-Ali
http://arxiv.org/abs/1908.01204v1
• [cs.IT]Protograph LDPC Code Design for Asynchronous Random Access
Federico Clazzer, Balazs Matuz, Sachini Jayasooriya, Mahyar Shirvanimoghaddam, Sarah J. Johnson
http://arxiv.org/abs/1908.01607v1
• [cs.IT]Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints
Haoyue Tang, Jintao Wang, Linqi Song, Jian Song
http://arxiv.org/abs/1908.01334v1
• [cs.LG]A principled approach for generating adversarial images under non-smooth dissimilarity metrics
Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam Oberman
http://arxiv.org/abs/1908.01667v1
• [cs.LG]A study in Rashomon curves and volumes: A new perspective on generalization and model simplicity in machine learning
Lesia Semenova, Cynthia Rudin
http://arxiv.org/abs/1908.01755v1
• [cs.LG]Building Deep, Equivariant Capsule Networks
Sairaam Venkatraman, S. Balasubramanian, R. Raghunatha Sarma
http://arxiv.org/abs/1908.01300v1
• [cs.LG]ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
Ksenia Korovina, Sailun Xu, Kirthevasan Kandasamy, Willie Neiswanger, Barnabas Poczos, Jeff Schneider, Eric P. Xing
http://arxiv.org/abs/1908.01425v1
• [cs.LG]Deep Reinforcement Learning in System Optimization
Ameer Haj-Ali, Nesreen K. Ahmed, Ted Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica
http://arxiv.org/abs/1908.01275v1
• [cs.LG]Dimensionality Reduction Flows
Hari Prasanna Das, Pieter Abbeel, Costas J. Spanos
http://arxiv.org/abs/1908.01686v1
• [cs.LG]Discovery of Bias and Strategic Behavior in Crowdsourced Performance Assessment
Yifei Huang, Matt Shum, Xi Wu, Jason Zezhong Xiao
http://arxiv.org/abs/1908.01718v1
• [cs.LG]Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition
Liam Hiley, Alun Preece, Yulia Hicks, David Marshall
http://arxiv.org/abs/1908.01536v1
• [cs.LG]Distributed Deep Convolutional Neural Networks for the Internet-of-Things
Simone Disabato, Manuel Roveri, Cesare Alippi
http://arxiv.org/abs/1908.01656v1
• [cs.LG]Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mamtaz Uddin, Oya Beyan, Stefan Decker
http://arxiv.org/abs/1908.01288v1
• [cs.LG]Dueling Posterior Sampling for Preference-Based Reinforcement Learning
Ellen R. Novoseller, Yanan Sui, Yisong Yue, Joel W. Burdick
http://arxiv.org/abs/1908.01289v1
• [cs.LG]GAN Path Finder: Preliminary results
Natalia Soboleva, Konstantin Yakovlev
http://arxiv.org/abs/1908.01499v1
• [cs.LG]Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost
Chen Wang, Chengyuan Deng, Suzhen Wang
http://arxiv.org/abs/1908.01672v1
• [cs.LG]Invariance-based Adversarial Attack on Neural Machine Translation Systems
Akshay Chaturvedi, Abijith KP, Utpal Garain
http://arxiv.org/abs/1908.01165v1
• [cs.LG]Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation
Devavrat Shah, Christina Lee Yu
http://arxiv.org/abs/1908.01241v1
• [cs.LG]Knowledge Isomorphism between Neural Networks
Ruofan Liang, Tianlin Li, Longfei Li, Quanshi Zhang
http://arxiv.org/abs/1908.01581v1
• [cs.LG]Learning to Generalize to Unseen Tasks with Bilevel Optimization
Hayeon Lee, Donghyun Na, Hae Beom Lee, Sung Ju Hwang
http://arxiv.org/abs/1908.01457v1
• [cs.LG]Learning to Transport with Neural Networks
Andrea Schioppa
http://arxiv.org/abs/1908.01394v1
• [cs.LG]Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series
Wentai Wu, Ligang He, Weiwei Lin
http://arxiv.org/abs/1908.01146v1
• [cs.LG]MoGA: Searching Beyond MobileNetV3
Xiangxiang Chu, Bo Zhang, Ruijun Xu
http://arxiv.org/abs/1908.01314v1
• [cs.LG]Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines
Adrienn Dineva, Amir Mosavi, Mate Gyimesi, Istvan Vajda
http://arxiv.org/abs/1908.01078v1
• [cs.LG]Nonparametric Contextual Bandits in an Unknown Metric Space
Nirandika Wanigasekara, Christina Lee Yu
http://arxiv.org/abs/1908.01228v1
• [cs.LG]On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks
Christopher Sweet, Stephen Moskal, Shanchieh Jay Yang
http://arxiv.org/abs/1908.01219v1
• [cs.LG]Path Length Bounds for Gradient Descent and Flow
Chirag Gupta, Sivaraman Balakrishnan, Aaditya Ramdas
http://arxiv.org/abs/1908.01089v1
• [cs.LG]Real-time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters
Mohammadreza Baharani, Mehrdad Biglarbegian, Babak Parkhideh, Hamed Tabkhi
http://arxiv.org/abs/1908.01244v1
• [cs.LG]RuleKit: A Comprehensive Suite for Rule-Based Learning
Adam Gudyś, Marek Sikora, Łukasz Wróbel
http://arxiv.org/abs/1908.01031v1
• [cs.LG]Semi-supervised representation learning via dual autoencoders for domain adaptation
Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu
http://arxiv.org/abs/1908.01342v1
• [cs.LG]Simultaneous Clustering and Optimization for Evolving Datasets
Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin
http://arxiv.org/abs/1908.01384v1
• [cs.LG]The HSIC Bottleneck: Deep Learning without Back-Propagation
Wan-Duo Kurt Ma, J. P. Lewis, W. Bastiaan Kleijn
http://arxiv.org/abs/1908.01580v1
• [cs.LG]The Myths of Our Time: Fake News
Vít Růžička, Eunsu Kang, David Gordon, Ankita Patel, Jacqui Fashimpaur, Manzil Zaheer
http://arxiv.org/abs/1908.01760v1
• [cs.LG]The Use of Binary Choice Forests to Model and Estimate Discrete Choice Models
Ningyuan Chen, Guillermo Gallego, Zhuodong Tang
http://arxiv.org/abs/1908.01109v1
• [cs.LG]Toward Understanding Catastrophic Forgetting in Continual Learning
Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto
http://arxiv.org/abs/1908.01091v1
• [cs.LG]Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and Enable Continual Learning
Gabrielle Liu
http://arxiv.org/abs/1908.01052v1
• [cs.NE]Construction of Macro Actions for Deep Reinforcement Learning
Yi-Hsiang Chang, Kuan-Yu Chang, Henry Kuo, Chun-Yi Lee
http://arxiv.org/abs/1908.01478v1
• [cs.RO]Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation
Anthony Corso, Peter Du, Katherine Driggs-Campbell, Mykel J. Kochenderfer
http://arxiv.org/abs/1908.01046v1
• [cs.RO]Analysis and Exploitation of Synchronized Parallel Executions in Behavior Trees
Michele Colledanchise, Lorenzo Natale
http://arxiv.org/abs/1908.01539v1
• [cs.RO]On Flying Backwards: Preventing Run-away of Small, Low-speed, Fixed-wing UAVs in Strong Winds
Thomas Stastny, Roland Siegwart
http://arxiv.org/abs/1908.01381v1
• [cs.RO]Remote Mobile Manipulation with the Centauro Robot: Full-body Telepresence and Autonomous Operator Assistance
Tobias Klamt, Max Schwarz, Christian Lenz, Lorenzo Baccelliere, Domenico Buongiorno, Torben Cichon, Antonio Di Guardo, David Droeschel, Massimiliano Gabardi, Malgorzata Kamedula, Navvab Kashiri, Arturo Laurenzi, Daniele Leonardis, Luca Muratore, Dmytro Pavlichenko, Arul Selvam Periyasamy, Diego Rodriguez, Massimiliano Solazzi, Antonio Frisoli, Michael Gustmann, Jürgen Roßmann, Uwe Süss, Nikos G. Tsagarakis, Sven Behnke
http://arxiv.org/abs/1908.01617v1
• [cs.RO]Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components
Cumhur Erkan Tuncali, Georgios Fainekos, Danil Prokhorov, Hisahiro Ito, James Kapinski
http://arxiv.org/abs/1908.01094v1
• [cs.RO]Situation-Aware Left-Turning Connected and Automated Vehicle Operation at Signalized Intersections
Sakib Mahmud Khan, Mashrur Chowdhury
http://arxiv.org/abs/1908.00981v1
• [cs.SD]LSTM Based Music Generation System
Sanidhya Mangal, Rahul Modak, Poorva Joshi
http://arxiv.org/abs/1908.01080v1
• [cs.SD]V2S attack: building DNN-based voice conversion from automatic speaker verification
Taiki Nakamura, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Hiroshi Saruwatari
http://arxiv.org/abs/1908.01454v1
• [cs.SI]A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management
Md. Yasin Kabir, Sanjay Madria
http://arxiv.org/abs/1908.01456v1
• [cs.SI]Characterising complex healthcare systems using network science: The small world of emergency surgery
Katharina Kohler, Ari Ercole
http://arxiv.org/abs/1908.01688v1
• [cs.SI]Incorporating Structural Stigma into Network Analysis
Francis Lee, Carter T. Butts
http://arxiv.org/abs/1908.01500v1
• [cs.SI]Innovative ranking strategy for IPL team formation
Saptarshi Banerjee, Arnabi Mitra, Debayan Ganguly, Ritajit Majumdar, Kingshuk Chatterjee
http://arxiv.org/abs/1908.01725v1
• [cs.SI]Modeling Event Propagation via Graph Biased Temporal Point Process
Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha
http://arxiv.org/abs/1908.01623v1
• [cs.SI]Network Inference from Consensus Dynamics with Unknown Parameters
Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra
http://arxiv.org/abs/1908.01393v1
• [cs.SI]Network Shrinkage Estimation
Nesreen K. Ahmed, Nick Duffield
http://arxiv.org/abs/1908.01087v1
• [cs.SI]Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Srijan Kumar, Xikun Zhang, Jure Leskovec
http://arxiv.org/abs/1908.01207v1
• [cs.SI]The General Black-box Attack Method for Graph Neural Networks
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang
http://arxiv.org/abs/1908.01297v1
• [econ.EM]Detecting the Hot Hand: Tests of Randomness Against Streaky Alternatives in Bernoulli Sequences
David M. Ritzwoller, Joseph P. Romano
http://arxiv.org/abs/1908.01406v1
• [econ.EM]Estimating Unobserved Individual Heterogeneity Using Pairwise Comparisons
Elena Krasnokutskaya, Kyungchul Song, Xun Tang
http://arxiv.org/abs/1908.01272v1
• [eess.AS]Sound Event Detection in Multichannel Audio using Convolutional Time-Frequency-Channel Squeeze and Excitation
Wei Xia, Kazuhito Koishida
http://arxiv.org/abs/1908.01399v1
• [eess.IV]ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
Haofu Liao, Wei-An Lin, S. Kevin Zhou, Jiebo Luo
http://arxiv.org/abs/1908.01104v1
• [eess.IV]Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging
Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet
http://arxiv.org/abs/1908.01176v1
• [eess.IV]Automatic segmentation of kidney and liver tumors in CT images
Dina B. Efremova, Dmitry A. Konovalov, Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy
http://arxiv.org/abs/1908.01279v1
• [eess.IV]BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization
Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler
http://arxiv.org/abs/1908.01287v1
• [eess.IV]CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network
Menglei Zhang, Zhou Liu, Lei Yu
http://arxiv.org/abs/1908.01166v1
• [eess.IV]CameraNet: A Two-Stage Framework for Effective Camera ISP Learning
Zhetong Liang, Jianrui Cai, Zisheng Cao, Lei Zhang
http://arxiv.org/abs/1908.01481v1
• [eess.IV]Imaging with highly incomplete and corrupted data
Miguel Moscoso, Alexei Novikov, George Papanicolaou, Chrysoula Tsogka
http://arxiv.org/abs/1908.01479v1
• [eess.IV]Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning
Michal Byra, Mei Wu, Xiaodong Zhang, Hyungseok Jang, Ya-Jun Ma, Eric Y Chang, Sameer Shah, Jiang Du
http://arxiv.org/abs/1908.01594v1
• [eess.IV]Multi-Contrast Super-Resolution MRI Through a Progressive Network
Qing Lyu, Hongming Shan, Ge Wang
http://arxiv.org/abs/1908.01612v1
• [eess.IV]Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams
Chenglong Wang, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Naoto Sassa, Momokazu Goto, Kensaku Mori
http://arxiv.org/abs/1908.01543v1
• [eess.IV]Restricted Linearized Augmented Lagrangian Method for Euler’s Elastica Model
Yinghui Zhang, Xiaojuan Deng, Jun Zhang, Hongwei Li
http://arxiv.org/abs/1908.01429v1
• [eess.IV]Review of Algorithms for Compressive Sensing of Images
Yoni Sher
http://arxiv.org/abs/1908.01642v1
• [eess.IV]U-Net Fixed-Point Quantization for Medical Image Segmentation
MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David
http://arxiv.org/abs/1908.01073v1
• [eess.IV]Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network
Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder
http://arxiv.org/abs/1908.01373v1
• [eess.SP]A Unifying Analysis of Shift Operators on a Graph
Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic
http://arxiv.org/abs/1908.01596v1
• [eess.SP]Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping
Melih C. Yesilli, Firas A. Khasawneh, Andreas Otto
http://arxiv.org/abs/1908.01678v1
• [eess.SY]Distributed Adaptive Coverage Control of Differential Drive Robotic Sensors
Rihab Abdul Razak, Srikant Sukumar, Hoam Chung
http://arxiv.org/abs/1908.01161v1
• [math-ph]Elements of Generalized Tsallis Relative Entropy in Classical Information Theory
Supriyo Dutta, Partha Guha
http://arxiv.org/abs/1908.01696v1
• [math.NA]A Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations
Denis Sidorov, Ildar Muftahov, Nikita Tomin, Dmitriy Karamov, Daniil Panasetsky, Aliona Dreglea, Fang Liu, Aoife Foley
http://arxiv.org/abs/1908.01310v1
• [math.OC]A Survey on Compressive Sensing: Classical Results and Recent Advancements
Seyedahmad Mousavi, Mohammad Mehdi Rezaee Taghiabadi, Ramin Ayanzadeh
http://arxiv.org/abs/1908.01014v1
• [math.OC]Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: II — The Finite Horizon Case
René Carmona, Mathieu Laurière
http://arxiv.org/abs/1908.01613v1
• [math.OC]Hopfield Neural Network Flow: A Geometric Viewpoint
Abhishek Halder, Kenneth F. Caluya, Bertrand Travacca, Scott J. Moura
http://arxiv.org/abs/1908.01270v1
• [math.OC]On the modes of convergence of Stochastic Optimistic Mirror Descent (OMD) for saddle point problems
Yanting Ma, Shuchin Aeron, Hassan Mansour
http://arxiv.org/abs/1908.01071v1
• [math.PR]Pairwise Multi-marginal Optimal Transport via Universal Poisson Coupling
Cheuk Ting Li, Venkat Anantharam
http://arxiv.org/abs/1908.01388v1
• [math.PR]Sequential tracking of an unobservable two-state Markov process under Brownian noise
Alexey Muravlev, Mikhail Urusov, Mikhail Zhitlukhin
http://arxiv.org/abs/1908.01162v1
• [math.ST]Efficient Truncated Statistics with Unknown Truncation
Vasilis Kontonis, Christos Tzamos, Manolis Zampetakis
http://arxiv.org/abs/1908.01034v1
• [math.ST]Learning Latent Factors from Diversified Projections and its Applications to Over-Estimated and Weak Factors
Jianqing Fan, Yuan Liao
http://arxiv.org/abs/1908.01252v1
• [math.ST]Random Tensors and their Normal Distributions
Changqing Xu, Ziming Zhang
http://arxiv.org/abs/1908.01131v1
• [math.ST]Regression-adjusted average treatment effect estimates in stratified and sequentially randomized experiments
Hanzhong Liu, Yuehan Yang
http://arxiv.org/abs/1908.01628v1
• [q-bio.PE]Antioxidant capacity is repeatable across years but does not consistently correlate with a marker of peroxidation in a free-living passerine bird
Charlotte Récapet, Mathilde Arrivé, Blandine Doligez, Pierre Bize
http://arxiv.org/abs/1908.01488v1
• [q-fin.ST]Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang
http://arxiv.org/abs/1908.01112v1
• [quant-ph]Machine-learning based three-qubit gate for realization of a Toffoli gate with cQED-based transmon systems
Sahar Daraeizadeh, Shavindra P. Premaratne, Xiaoyu Song, Marek Perkowski, Anne Y. Matsuura
http://arxiv.org/abs/1908.01092v1
• [quant-ph]Quantum-enhanced least-square support vector machine: simplified quantum algorithm and sparse solutions
Jie Lin, Dan-Bo Zhang, Shuo Zhang, Xiang Wang, Tan Li, Wan-su Bao
http://arxiv.org/abs/1908.01462v1
• [stat.AP]Asymptotically consistent prediction of extremes in chaotic systems:1 stationary case
Michael LuValle
http://arxiv.org/abs/1908.01231v1
• [stat.AP]Defence Against the Modern Arts: the Curse of Statistics — FRStat
Cedric Neumann
http://arxiv.org/abs/1908.01408v1
• [stat.AP]Forecasting age distribution of death counts: An application to annuity pricing
Han Lin Shang, Steven Haberman
http://arxiv.org/abs/1908.01446v1
• [stat.AP]Interpretable brain age prediction using linear latent variable models of functional connectivity
Ricardo Pio Monti, Alex Gibberd, Sandipan Roy, Matt Nunes, Romy Lorenz, Robert Leech, Takeshi Ogawa, Motoaki Kawanabe, Aapo Hyvarinen
http://arxiv.org/abs/1908.01555v1
• [stat.AP]Performance of variable and function selection methods for estimating the non-linear health effects of correlated chemical mixtures: a simulation study
Nina Lazarevic, Luke D. Knibbs, Peter D. Sly, Adrian G. Barnett
http://arxiv.org/abs/1908.01583v1
• [stat.AP]Sensitivity Analysis of Treatment Effect to Unmeasured Confounding in Observational Studies with Survival and Competing Risks Outcomes
Rong Huang, Ronghui Xu, Parambir S. Dulai
http://arxiv.org/abs/1908.01444v1
• [stat.ME]Effect of Interim Adaptations in Group Sequential Designs
Sergey Tarima, Nancy Flournoy
http://arxiv.org/abs/1908.01411v1
• [stat.ME]Full-semiparametric-likelihood-based inference for non-ignorable missing data
Yukun Liu, Pengfei Li, Jing Qin
http://arxiv.org/abs/1908.01260v1
• [stat.ME]Identifying Treatment Effects using Trimmed Means when Data are Missing Not at Random
Alex Ocampo, Heinz Schmidli, Peter Quarg, Francesca Callegari, Marcello Pagano
http://arxiv.org/abs/1908.01044v1
• [stat.ME]Leveraging Random Assignment in Multiple Imputation of Missing Covariates in Causal Studies
Gauri Kamat, Jerome P. Reiter
http://arxiv.org/abs/1908.01333v1
• [stat.ME]Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances
Felipe Campelo, Elizabeth F. Wanner
http://arxiv.org/abs/1908.01720v1
• [stat.ML]Ensemble Neural Networks (ENN): A gradient-free stochastic method
Yuntian Chena, Haibin Changa, Meng Jina, Dongxiao Zhanga
http://arxiv.org/abs/1908.01113v1
• [stat.ML]Extending the step-size restriction for gradient descent to avoid strict saddle points
Hayden Schaeffer, Scott G. McCalla
http://arxiv.org/abs/1908.01753v1
• [stat.ML]Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting
Miles E. Lopes, Suofei Wu, Thomas C. M. Lee
http://arxiv.org/abs/1908.01251v1
• [stat.ML]Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
Fei Wang, Ling Zhou, Lu Tang, Peter X. -K. Song
http://arxiv.org/abs/1908.01253v1
• [stat.ML]Spatio-Temporal RBF Neural Networks
Shujaat Khan, Jawwad Ahmad, Alishba Sadiq, Imran Naseem, Muhammad Moinuddin
若有收获，就点个赞吧
0 人点赞
