cond-mat.mtrl-sci - 材料科学

    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.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 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.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 math.CO - 组合数学 math.NA - 数值分析 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.soc-ph - 物理学与社会 q-bio.GN - 基因组学 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.mtrl-sci]Materials property prediction using symmetry-labeled graphs as atomic-position independent descriptors
    • [cs.AI]Improved Safe Real-time Heuristic Search
    • [cs.CL]Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech
    • [cs.CL]Controlled CNN-based Sequence Labeling for Aspect Extraction
    • [cs.CL]Dual Supervised Learning for Natural Language Understanding and Generation
    • [cs.CL]Dynamically Fused Graph Network for Multi-hop Reasoning
    • [cs.CL]Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition
    • [cs.CL]Gated Convolutional Neural Networks for Domain Adaptation
    • [cs.CL]HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
    • [cs.CL]Incorporating Sememes into Chinese Definition Modeling
    • [cs.CL]Joint Source-Target Self Attention with Locality Constraints
    • [cs.CL]Latent Universal Task-Specific BERT
    • [cs.CL]Machine Learning based English Sentiment Analysis
    • [cs.CL]Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
    • [cs.CL]The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures
    • [cs.CL]Towards Interlingua Neural Machine Translation
    • [cs.CL]TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking
    • [cs.CL]Tracing cultural diachronic semantic shifts in Russian using word embeddings: test sets and baselines
    • [cs.CL]Using Entity Relations for Opinion Mining of Vietnamese Comments
    • [cs.CL]What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue
    • [cs.CR]Modern Problems Require Modern Solutions: Hybrid Concepts for Industrial Intrusion Detection
    • [cs.CV]3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
    • [cs.CV]A Non-Intrusive Method of Face Liveness Detection Using Specular Reflection and Local Binary Patterns
    • [cs.CV]Bimodal Stereo: Joint Shape and Pose Estimation from Color-Depth Image Pair
    • [cs.CV]Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
    • [cs.CV]Contrast Optimization And Local Adaptation (COALA) for HDR Compression
    • [cs.CV]Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification
    • [cs.CV]Deep Reference Generation with Multi-Domain Hierarchical Constraints for Inter Prediction
    • [cs.CV]Derived Codebooks for High-Accuracy Nearest Neighbor Search
    • [cs.CV]FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network
    • [cs.CV]Fluorescence Image Histology Pattern Transformation using Image Style Transfer
    • [cs.CV]Harvesting Information from Captions for Weakly Supervised Semantic Segmentation
    • [cs.CV]Inductive Guided Filter: Real-time Deep Image Matting with Weakly Annotated Masks on Mobile Devices
    • [cs.CV]Investigating Channel Pruning through Structural Redundancy Reduction - A Statistical Study
    • [cs.CV]Learning Robust 3D Face Reconstruction and Discriminative Identity Representation
    • [cs.CV]Learning Visually Consistent Label Embeddings for Zero-Shot Learning
    • [cs.CV]Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
    • [cs.CV]Leverage eye-movement data for saliency modeling: Invariance Analysis and a Robust New Model
    • [cs.CV]Local Features and Visual Words Emerge in Activations
    • [cs.CV]Monocular Plan View Networks for Autonomous Driving
    • [cs.CV]Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels
    • [cs.CV]One-Shot Texture Retrieval with Global Context Metric
    • [cs.CV]Quality-based Pulse Estimation from NIR Face Video with Application to Driver Monitoring
    • [cs.CV]RGB-T Image Saliency Detection via Collaborative Graph Learning
    • [cs.CV]Relaxed 2-D Principal Component Analysis by $L_p$ Norm for Face Recognition
    • [cs.CV]Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How
    • [cs.CV]ReshapeGAN: Object Reshaping by Providing A Single Reference Image
    • [cs.CV]Richlt Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons
    • [cs.CV]Robust Real-time Pedestrian Detection in Aerial Imagery on Jetson TX2
    • [cs.CV]Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach
    • [cs.CV]Stroke extraction for offline handwritten mathematical expression recognition
    • [cs.CV]TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes
    • [cs.CV]Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection
    • [cs.CV]Uneven illumination surface defects inspection based on convolutional neural network
    • [cs.CY]A Clinical Approach to Training Effective Data Scientists
    • [cs.CY]Artificial intelligence technology in oncology: a new technological paradigm
    • [cs.CY]DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills
    • [cs.CY]Data Markets to support AI for All: Pricing, Valuation and Governance
    • [cs.CY]Food Recommendation: Framework, Existing Solutions and Challenges
    • [cs.CY]From What to How. An Overview of AI Ethics Tools, Methods and Research to Translate Principles into Practices
    • [cs.CY]Modelling urban networks using Variational Autoencoders
    • [cs.CY]Streetscape augmentation using generative adversarial networks: insights related to health and wellbeing
    • [cs.CY]Why do you take that route?
    • [cs.DC]Autonomous Membership Service for Enclave Applications
    • [cs.DC]Blockchain Goes Green? An Analysis of Blockchain on Low-Power Nodes
    • [cs.DC]Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining
    • [cs.DC]MAIA: A Microservices-based Architecture for Industrial Data Analytics
    • [cs.DC]Quantifiability: Concurrent Correctness from First Principles
    • [cs.DC]StashCache: A Distributed Caching Federation for the Open Science Grid
    • [cs.DL]Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries
    • [cs.DS]List-Decodable Linear Regression
    • [cs.DS]Separating Structure from Noise in Large Graphs Using the Regularity Lemma
    • [cs.DS]Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering
    • [cs.HC]Towards Comparing Programming Paradigms
    • [cs.HC]Visual Analytics of Anomalous User Behaviors: A Survey
    • [cs.IR]A New Anchor Word Selection Method for the Separable Topic Discovery
    • [cs.IR]Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
    • [cs.IR]Deep Session Interest Network for Click-Through Rate Prediction
    • [cs.IR]Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models
    • [cs.IR]Recent Advances in Diversified Recommendation
    • [cs.IR]Recommending Dream Jobs in a Biased Real World
    • [cs.IR]Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces
    • [cs.IR]Semantic Search using Spreading Activation based on Ontology
    • [cs.IT]An Information Theoretic Interpretation to Deep Neural Networks
    • [cs.IT]An Unified Approach on Constructing of MDS Self-dual Codes via Reed-Solomon Codes
    • [cs.IT]Efficient Scheduling for the Massive Random Access Gaussian Channel
    • [cs.IT]On ZpZp[u, v]-additive cyclic and constacyclic codes
    • [cs.IT]Optimal Status Updating with a Finite-Battery Energy Harvesting Source
    • [cs.IT]Random Sampling for Distributed Coded Matrix Multiplication
    • [cs.LG]A Simple Dual-decoder Model for Generating Response with Sentiment
    • [cs.LG]AlgoNet: $C^\infty$ Smooth Algorithmic Neural Networks
    • [cs.LG]Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
    • [cs.LG]BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning
    • [cs.LG]Classification via an Embedded Approach
    • [cs.LG]Cluster, Classify, Regress: A General Method For Learning Discountinous Functions
    • [cs.LG]Combining Parametric and Nonparametric Models for Off-Policy Evaluation
    • [cs.LG]Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction
    • [cs.LG]Data Poisoning Attacks on Stochastic Bandits
    • [cs.LG]Deep Compressed Sensing
    • [cs.LG]Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series
    • [cs.LG]Dynamic Neural Network Channel Execution for Efficient Training
    • [cs.LG]Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards
    • [cs.LG]FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine
    • [cs.LG]Fooling Computer Vision into Inferring the Wrong Body Mass Index
    • [cs.LG]Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation
    • [cs.LG]IPC: A Benchmark Data Set for Learning with Graph-Structured Data
    • [cs.LG]Inferring Javascript types using Graph Neural Networks
    • [cs.LG]Joint Learning of Neural Networks via Iterative Reweighted Least Squares
    • [cs.LG]LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
    • [cs.LG]Learning discriminative features in sequence training without requiring framewise labelled data
    • [cs.LG]Leveraging exploration in off-policy algorithms via normalizing flows
    • [cs.LG]Machine Learning at Microsoft with ML .NET
    • [cs.LG]Meta Reinforcement Learning with Task Embedding and Shared Policy
    • [cs.LG]Meta reinforcement learning as task inference
    • [cs.LG]MoGlow: Probabilistic and controllable motion synthesis using normalising flows
    • [cs.LG]On Conditioning GANs to Hierarchical Ontologies
    • [cs.LG]On Norm-Agnostic Robustness of Adversarial Training
    • [cs.LG]On Variational Bounds of Mutual Information
    • [cs.LG]Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
    • [cs.LG]Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation
    • [cs.LG]STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction
    • [cs.LG]Stability of Linear Structural Equation Models of Causal Inference
    • [cs.LG]TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
    • [cs.NE]Building an Effective Intrusion Detection System using Unsupervised Feature Selection in Multi-objective Optimization Framework
    • [cs.NE]ELIMINATION from Design to Analysis
    • [cs.NE]Heterogeneous Parallel Genetic Algorithm Paradigm
    • [cs.RO]Autonomous Vehicle Control: End-to-end Learning in Simulated Urban Environments
    • [cs.RO]Implementation 2D EKF-Based Simultaneous Localisation and Mapping for Mobile Robot
    • [cs.RO]Learning Active Spine Behaviors for Dynamic and Efficient Locomotion in Quadruped Robots
    • [cs.RO]MAVBench: Micro Aerial Vehicle Benchmarking
    • [cs.RO]Synthesis of Provably Correct Autonomy Protocols for Shared Control
    • [cs.RO]Trajectory Generation for Underactuated Multirotor Vehicles with Tilted Propellers via a Flatness-based Method
    • [cs.RO]Vision-based Robotic Grasping from Object Localization, Pose Estimation, Grasp Detection to Motion Planning: A Review
    • [cs.SI]An interdisciplinary survey of network similarity methods
    • [cs.SI]InfoRest: Restricting Privacy Leakage to Online Social Network App
    • [cs.SI]On the Fairness of Time-Critical Influence Maximization in Social Networks
    • [eess.AS]Speaker-Independent Speech-Driven Visual Speech Synthesis using Domain-Adapted Acoustic Models
    • [eess.IV]Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression
    • [eess.IV]X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
    • [eess.SP]Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods
    • [eess.SP]Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes
    • [eess.SP]LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs
    • [eess.SP]Sample Efficient Toeplitz Covariance Estimation
    • [math.CO]Doubly transitive lines II: Almost simple symmetries
    • [math.NA]Simplicial splines for representation of density functions
    • [math.PR]Stochastic precedence and minima among dependent variables. A study based on the multivariate conditional hazard rates
    • [math.PR]Transfer Entropy in Continuous Time
    • [math.ST]Adaptive estimation in the linear random coefficients model when regressors have limited variation
    • [math.ST]Moment-based Estimation of Mixtures of Regression Models
    • [math.ST]When random initializations help: a study of variational inference for community detection
    • [physics.comp-ph]Neutron Transmission Strain Tomography for Non-Constant Strain-Free Lattice Spacing
    • [physics.data-an]On the Automatic Parameter Selection for Permutation Entropy
    • [physics.soc-ph]Control complexity: Diversity of structural controllability of complex networks with given degree sequence
    • [q-bio.GN]ncRNA Classification with Graph Convolutional Networks
    • [quant-ph]Number-State Preserving Tensor Networks as Classifiers for Supervised Learning
    • [stat.AP]Automated detection of business-relevant outliers in e-commerce conversion rate
    • [stat.AP]Compound Dirichlet Processes
    • [stat.CO]The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
    • [stat.ME]Non-Asymptotic Inference in a Class of Optimization Problems
    • [stat.ME]The Statistical Finite Element Method
    • [stat.ME]mRSC: Multi-dimensional Robust Synthetic Control
    • [stat.ML]Adaptive Sensor Placement for Continuous Spaces
    • [stat.ML]Additive Adversarial Learning for Unbiased Authentication
    • [stat.ML]The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA
    • [stat.ML]Transferable Clean-Label Poisoning Attacks on Deep Neural Nets

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    • [cond-mat.mtrl-sci]Materials property prediction using symmetry-labeled graphs as atomic-position independent descriptors
    Peter Bjørn Jørgensen, Estefanía Garijo del Río, Mikkel N. Schmidt, Karsten Wedel Jacobsen
    http://arxiv.org/abs/1905.06048v2

    • [cs.AI]Improved Safe Real-time Heuristic Search
    Bence Cserna, Kevin C. Gall, Wheeler Ruml
    http://arxiv.org/abs/1905.06402v1

    • [cs.CL]Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech
    Emre Yılmaz, Vikramjit Mitra, Ganesh Sivaraman, Horacio Franco
    http://arxiv.org/abs/1905.06533v1

    • [cs.CL]Controlled CNN-based Sequence Labeling for Aspect Extraction
    Lei Shu, Hu Xu, Bing Liu
    http://arxiv.org/abs/1905.06407v1

    • [cs.CL]Dual Supervised Learning for Natural Language Understanding and Generation
    Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen
    http://arxiv.org/abs/1905.06196v2

    • [cs.CL]Dynamically Fused Graph Network for Multi-hop Reasoning
    Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu
    http://arxiv.org/abs/1905.06933v1

    • [cs.CL]Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition
    Joongbo Shin, Yoonhyung Lee, Kyomin Jung
    http://arxiv.org/abs/1905.06655v1

    • [cs.CL]Gated Convolutional Neural Networks for Domain Adaptation
    Avinash Madasu, Vijjini Anvesh Rao
    http://arxiv.org/abs/1905.06906v1

    • [cs.CL]HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
    Xingxing Zhang, Furu Wei, Ming Zhou
    http://arxiv.org/abs/1905.06566v1

    • [cs.CL]Incorporating Sememes into Chinese Definition Modeling
    Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang
    http://arxiv.org/abs/1905.06512v1

    • [cs.CL]Joint Source-Target Self Attention with Locality Constraints
    José A. R. Fonollosa, Noe Casas, Marta R. Costa-jussà
    http://arxiv.org/abs/1905.06596v1

    • [cs.CL]Latent Universal Task-Specific BERT
    Alon Rozental, Zohar Kelrich, Daniel Fleischer
    http://arxiv.org/abs/1905.06638v1

    • [cs.CL]Machine Learning based English Sentiment Analysis
    T. N. T. Tran, L. K. N. Nguyen, V. M. Ngo
    http://arxiv.org/abs/1905.06643v1

    • [cs.CL]Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
    Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao
    http://arxiv.org/abs/1905.06221v2

    • [cs.CL]The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures
    Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti
    http://arxiv.org/abs/1905.06939v1

    • [cs.CL]Towards Interlingua Neural Machine Translation
    Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa
    http://arxiv.org/abs/1905.06831v1

    • [cs.CL]TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking
    Chen Qian, Lijie Wen, Akhil Kumar
    http://arxiv.org/abs/1905.06883v1

    • [cs.CL]Tracing cultural diachronic semantic shifts in Russian using word embeddings: test sets and baselines
    Vadim Fomin, Daria Bakshandaeva, Julia Rodina, Andrey Kutuzov
    http://arxiv.org/abs/1905.06837v1

    • [cs.CL]Using Entity Relations for Opinion Mining of Vietnamese Comments
    P. T. Nguyen, L. T. Le, V. M. Ngo, P. M. Nguyen
    http://arxiv.org/abs/1905.06647v1

    • [cs.CL]What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue
    Laura Aina, Carina Silberer, Matthijs Westera, Ionut-Teodor Sorodoc, Gemma Boleda
    http://arxiv.org/abs/1905.06649v1

    • [cs.CR]Modern Problems Require Modern Solutions: Hybrid Concepts for Industrial Intrusion Detection
    Simon D. Duque Anton, Mathias Strufe, Hans Dieter Schotten
    http://arxiv.org/abs/1905.05984v2

    • [cs.CV]3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
    Dong Wook Shu, Sung Woo Park, Junseok Kwon
    http://arxiv.org/abs/1905.06292v2

    • [cs.CV]A Non-Intrusive Method of Face Liveness Detection Using Specular Reflection and Local Binary Patterns
    Shivang Bharadwaj, Bhupendra Niranjan, Anant Kumar
    http://arxiv.org/abs/1905.06540v1

    • [cs.CV]Bimodal Stereo: Joint Shape and Pose Estimation from Color-Depth Image Pair
    Chi Zhang, Yuehu Liu, Ying Wu, Qilin Zhang, Le Wang
    http://arxiv.org/abs/1905.06499v1

    • [cs.CV]Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
    Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian
    http://arxiv.org/abs/1905.06368v1

    • [cs.CV]Contrast Optimization And Local Adaptation (COALA) for HDR Compression
    Shay Maymon, Hila Barel
    http://arxiv.org/abs/1905.06372v1

    • [cs.CV]Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification
    Koen Dercksen, Wouter Bulten, Geert Litjens
    http://arxiv.org/abs/1905.06820v1

    • [cs.CV]Deep Reference Generation with Multi-Domain Hierarchical Constraints for Inter Prediction
    Jiaying Liu, Sifeng Xia, Wenhan Yang
    http://arxiv.org/abs/1905.06567v1

    • [cs.CV]Derived Codebooks for High-Accuracy Nearest Neighbor Search
    Fabien André, Anne-Marie Kermarrec, Nicolas Le Scouarnec
    http://arxiv.org/abs/1905.06900v1

    • [cs.CV]FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network
    Bayram Bayramli, Usman Ali, Te Qi, Hongtao Lu
    http://arxiv.org/abs/1905.06537v1

    • [cs.CV]Fluorescence Image Histology Pattern Transformation using Image Style Transfer
    Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Xiaochun Zhao, Leandro Borba Moreira, Sirin Gandhi, Claudio Cavallo, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang
    http://arxiv.org/abs/1905.06442v1

    • [cs.CV]Harvesting Information from Captions for Weakly Supervised Semantic Segmentation
    Johann Sawatzky, Debayan Banerjee, Juergen Gall
    http://arxiv.org/abs/1905.06784v1

    • [cs.CV]Inductive Guided Filter: Real-time Deep Image Matting with Weakly Annotated Masks on Mobile Devices
    Yaoyi Li, Jianfu Zhang, Weijie Zhao, Hongtao Lu
    http://arxiv.org/abs/1905.06747v1

    • [cs.CV]Investigating Channel Pruning through Structural Redundancy Reduction - A Statistical Study
    Chengcheng Li, Zi Wang, Dali Wang, Xiangyang Wang, Hairong Qi
    http://arxiv.org/abs/1905.06498v1

    • [cs.CV]Learning Robust 3D Face Reconstruction and Discriminative Identity Representation
    Yao Luo, Xiaoguang Tu, Mei Xie
    http://arxiv.org/abs/1905.06505v1

    • [cs.CV]Learning Visually Consistent Label Embeddings for Zero-Shot Learning
    Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis
    http://arxiv.org/abs/1905.06764v1

    • [cs.CV]Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
    Soubhik Sanyal, Timo Bolkart, Haiwen Feng, Michael J. Black
    http://arxiv.org/abs/1905.06817v1

    • [cs.CV]Leverage eye-movement data for saliency modeling: Invariance Analysis and a Robust New Model
    Zhaohui Che, Ali Borji, Guangtao Zhai, Xiongkuo Min, Guodong Guo, Patrick Le Callet
    http://arxiv.org/abs/1905.06803v1

    • [cs.CV]Local Features and Visual Words Emerge in Activations
    Oriane Siméoni, Yannis Avrithis, Ondrej Chum
    http://arxiv.org/abs/1905.06358v1

    • [cs.CV]Monocular Plan View Networks for Autonomous Driving
    Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell
    http://arxiv.org/abs/1905.06937v1

    • [cs.CV]Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels
    Sebastian Guendel, Florin C. Ghesu, Sasa Grbic, Eli Gibson, Bogdan Georgescu, Andreas Maier, Dorin Comaniciu
    http://arxiv.org/abs/1905.06362v1

    • [cs.CV]One-Shot Texture Retrieval with Global Context Metric
    Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao
    http://arxiv.org/abs/1905.06656v1

    • [cs.CV]Quality-based Pulse Estimation from NIR Face Video with Application to Driver Monitoring
    Javier Hernandez-Ortega, Shigenori Nagae, Julian Fierrez, Aythami Morales
    http://arxiv.org/abs/1905.06568v1

    • [cs.CV]RGB-T Image Saliency Detection via Collaborative Graph Learning
    Zhengzheng Tu, Tian Xia, Chenglong Li, Xiaoxiao Wang, Yan Ma, Jin Tang
    http://arxiv.org/abs/1905.06741v1

    • [cs.CV]Relaxed 2-D Principal Component Analysis by $L_p$ Norm for Face Recognition
    Xiao Chen, Zhi-Gang Jia, Yunfeng Cai, Mei-Xiang Zhao
    http://arxiv.org/abs/1905.06458v1

    • [cs.CV]Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How
    Feng Li, Xiaohe Wu, Wangmeng Zuo, David Zhang, Lei Zhang
    http://arxiv.org/abs/1905.06648v1

    • [cs.CV]ReshapeGAN: Object Reshaping by Providing A Single Reference Image
    Ziqiang Zheng, Yang Wu, Zhibin Yu, Yang Yang, Haiyong Zheng, Takeo Kanade
    http://arxiv.org/abs/1905.06514v1

    • [cs.CV]Richlt Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons
    Yi-Fan Song, Zhang Zhang, Liang Wang
    http://arxiv.org/abs/1905.06774v1

    • [cs.CV]Robust Real-time Pedestrian Detection in Aerial Imagery on Jetson TX2
    Mohamed Afifi, Yara Ali, Karim Amer, Mahmoud Shaker, Mohamed ElHelw
    http://arxiv.org/abs/1905.06653v1

    • [cs.CV]Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach
    Wenyuan Li, Zichen Wang, Jiayun Li, Jennifer Polson, William Speier, Corey Arnold
    http://arxiv.org/abs/1905.06484v1

    • [cs.CV]Stroke extraction for offline handwritten mathematical expression recognition
    Chungkwong Chan
    http://arxiv.org/abs/1905.06749v1

    • [cs.CV]TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes
    Tae Joon Jun, Youngsub Eom, Dohyeun Kim, Cherry Kim, Ji-Hye Park, Hoang Minh Nguyen, Daeyoung Kim
    http://arxiv.org/abs/1905.06509v1

    • [cs.CV]Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection
    Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier
    http://arxiv.org/abs/1905.06381v1

    • [cs.CV]Uneven illumination surface defects inspection based on convolutional neural network
    Hao Wu, Xiangrong Xu, Wenbin Gao
    http://arxiv.org/abs/1905.06683v1

    • [cs.CY]A Clinical Approach to Training Effective Data Scientists
    Kit T Rodolfa, Adolfo De Unanue, Matt Gee, Rayid Ghani
    http://arxiv.org/abs/1905.06875v1

    • [cs.CY]Artificial intelligence technology in oncology: a new technological paradigm
    Mario Coccia
    http://arxiv.org/abs/1905.06871v1

    • [cs.CY]DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills
    Benoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie
    http://arxiv.org/abs/1905.06873v1

    • [cs.CY]Data Markets to support AI for All: Pricing, Valuation and Governance
    Ramesh Raskar, Praneeth Vepakomma, Tristan Swedish, Aalekh Sharan
    http://arxiv.org/abs/1905.06462v1

    • [cs.CY]Food Recommendation: Framework, Existing Solutions and Challenges
    Weiqing Min, Shuqiang Jiang, Ramesh Jain
    http://arxiv.org/abs/1905.06269v1

    • [cs.CY]From What to How. An Overview of AI Ethics Tools, Methods and Research to Translate Principles into Practices
    Jessica Morley, Luciano Floridi, Libby Kinsey, Anat Elhalal
    http://arxiv.org/abs/1905.06876v1

    • [cs.CY]Modelling urban networks using Variational Autoencoders
    Kira Kempinska, Roberto Murcio
    http://arxiv.org/abs/1905.06465v1

    • [cs.CY]Streetscape augmentation using generative adversarial networks: insights related to health and wellbeing
    Jasper S. Wijnands, Kerry A. Nice, Jason Thompson, Haifeng Zhao, Mark Stevenson
    http://arxiv.org/abs/1905.06464v1

    • [cs.CY]Why do you take that route?
    Alimire Nabijiang, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Qun Liu
    http://arxiv.org/abs/1905.06463v1

    • [cs.DC]Autonomous Membership Service for Enclave Applications
    Hung Dang, Ee-Chien Chang
    http://arxiv.org/abs/1905.06460v1

    • [cs.DC]Blockchain Goes Green? An Analysis of Blockchain on Low-Power Nodes
    Dumitrel Loghin, Gang Chen, Tien Tuan Anh Dinh, Beng Chin Ooi, Yong Meng Teo
    http://arxiv.org/abs/1905.06520v1

    • [cs.DC]Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining
    Siegfried Cools, Jeffrey Cornelis, Pieter Ghysels, Wim Vanroose
    http://arxiv.org/abs/1905.06850v1

    • [cs.DC]MAIA: A Microservices-based Architecture for Industrial Data Analytics
    Hai Dinh-Tuan, Felix Beierle, Sandro Rodriguez Garzon
    http://arxiv.org/abs/1905.06625v1

    • [cs.DC]Quantifiability: Concurrent Correctness from First Principles
    Victor Cook, Christina Peterson, Zachary Painter, Damian Dechev
    http://arxiv.org/abs/1905.06421v1

    • [cs.DC]StashCache: A Distributed Caching Federation for the Open Science Grid
    Derek Weitzel, Marian Zvada, Ilija Vukotic, Rob Gardner, Brian Bockelman, Mats Rynge, Edgar Fajardo Hernandez, Brian Lin, Matyas Selmeci
    http://arxiv.org/abs/1905.06911v1

    • [cs.DL]Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries
    Jiawei Zhang, Chenwei Zhang, Bowen Dong, Yang Yang, Philip S. Yu
    http://arxiv.org/abs/1905.06365v1

    • [cs.DS]List-Decodable Linear Regression
    Sushrut Karmalkar, Adam R. Klivans, Pravesh K. Kothari
    http://arxiv.org/abs/1905.05679v2

    • [cs.DS]Separating Structure from Noise in Large Graphs Using the Regularity Lemma
    Marco Fiorucci. Francesco Pelosin, Marcello Pelillo
    http://arxiv.org/abs/1905.06917v1

    • [cs.DS]Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering
    Manuel Fernandez, David P. Woodruff, Taisuke Yasuda
    http://arxiv.org/abs/1905.06394v1

    • [cs.HC]Towards Comparing Programming Paradigms
    Igor Ivkic, Alexander Wöhrer, Markus Tauber
    http://arxiv.org/abs/1905.06777v1

    • [cs.HC]Visual Analytics of Anomalous User Behaviors: A Survey
    Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao
    http://arxiv.org/abs/1905.06720v1

    • [cs.IR]A New Anchor Word Selection Method for the Separable Topic Discovery
    Kun He, Wu Wang, Xiaosen Wang, John E. Hopcroft
    http://arxiv.org/abs/1905.06109v1

    • [cs.IR]Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
    Qiwei Chen, Huan Zhao, Wei Li, Pipei Huang, Wenwu Ou
    http://arxiv.org/abs/1905.06874v1

    • [cs.IR]Deep Session Interest Network for Click-Through Rate Prediction
    Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang
    http://arxiv.org/abs/1905.06482v1

    • [cs.IR]Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models
    Farzad Eskandanian, Bamshad Mobasher
    http://arxiv.org/abs/1905.06863v1

    • [cs.IR]Recent Advances in Diversified Recommendation
    Qiong Wu, Yong Liu, Chunyan Miao, Yin Zhao, Lu Guan, Haihong Tang
    http://arxiv.org/abs/1905.06589v1

    • [cs.IR]Recommending Dream Jobs in a Biased Real World
    Nadia Fawaz
    http://arxiv.org/abs/1905.06134v1

    • [cs.IR]Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces
    Andrew Stanton, Akhila Ananthram, Congzhe Su, Liangjie Hong
    http://arxiv.org/abs/1905.06452v1

    • [cs.IR]Semantic Search using Spreading Activation based on Ontology
    Ngo Minh Vuong
    http://arxiv.org/abs/1905.06114v1

    • [cs.IT]An Information Theoretic Interpretation to Deep Neural Networks
    Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell
    http://arxiv.org/abs/1905.06600v1

    • [cs.IT]An Unified Approach on Constructing of MDS Self-dual Codes via Reed-Solomon Codes
    Aixian Zhang, Keqin Feng
    http://arxiv.org/abs/1905.06513v1

    • [cs.IT]Efficient Scheduling for the Massive Random Access Gaussian Channel
    Gustavo Kasper Facenda, Danilo Silva
    http://arxiv.org/abs/1905.06479v1

    • [cs.IT]On ZpZp[u, v]-additive cyclic and constacyclic codes**
    Habibul Islam, Om Prakash
    http://arxiv.org/abs/1905.06686v1

    • [cs.IT]Optimal Status Updating with a Finite-Battery Energy Harvesting Source
    Baran Tan Bacinoglu, Yin Sun, Elif Uysal, Volkan Mutlu
    http://arxiv.org/abs/1905.06679v1

    • [cs.IT]Random Sampling for Distributed Coded Matrix Multiplication
    Wei-Ting Chang, Ravi Tandon
    http://arxiv.org/abs/1905.06942v1

    • [cs.LG]A Simple Dual-decoder Model for Generating Response with Sentiment
    Xiuyu Wu, Yunfang Wu
    http://arxiv.org/abs/1905.06597v1

    • [cs.LG]AlgoNet: $C^\infty$ Smooth Algorithmic Neural Networks
    Felix Petersen, Oliver Deussen
    http://arxiv.org/abs/1905.06886v1

    • [cs.LG]Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
    Friso H. Kingma, Pieter Abbeel, Jonathan Ho
    http://arxiv.org/abs/1905.06845v1

    • [cs.LG]BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning
    Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
    http://arxiv.org/abs/1905.06731v1

    • [cs.LG]Classification via an Embedded Approach
    Jose de Jesus Rubio, Francisco Jacob Avila, Adolfo Melendez, Juan Manuel Stein, Jesus Alberto Meda, Carlos Aguilar
    http://arxiv.org/abs/1905.06431v1

    • [cs.LG]Cluster, Classify, Regress: A General Method For Learning Discountinous Functions
    David E. Bernholdt, Mark R. Cianciosa, Clement Etienam, David L. Green, Kody J. H. Law, J. M. Park
    http://arxiv.org/abs/1905.06220v2

    • [cs.LG]Combining Parametric and Nonparametric Models for Off-Policy Evaluation
    Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez
    http://arxiv.org/abs/1905.05787v2

    • [cs.LG]Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction
    Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, Liang Lin
    http://arxiv.org/abs/1905.06335v1

    • [cs.LG]Data Poisoning Attacks on Stochastic Bandits
    Fang Liu, Ness Shroff
    http://arxiv.org/abs/1905.06494v1

    • [cs.LG]Deep Compressed Sensing
    Yan Wu, Mihaela Rosca, Timothy Lillicrap
    http://arxiv.org/abs/1905.06723v1

    • [cs.LG]Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series
    Zahra Ebrahimzadeh, Min Zheng, Selcuk Karakas, Samantha Kleinberg
    http://arxiv.org/abs/1905.06913v1

    • [cs.LG]Dynamic Neural Network Channel Execution for Efficient Training
    Simeon E. Spasov, Pietro Lio
    http://arxiv.org/abs/1905.06435v1

    • [cs.LG]Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards
    Wang Chi Cheung
    http://arxiv.org/abs/1905.06466v1

    • [cs.LG]FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine
    Junlin Zhang, Tongwen Huang, Zhiqi Zhang
    http://arxiv.org/abs/1905.06336v1

    • [cs.LG]Fooling Computer Vision into Inferring the Wrong Body Mass Index
    Owen Levin, Zihang Meng, Vikas Singh, Xiaojin Zhu
    http://arxiv.org/abs/1905.06916v1

    • [cs.LG]Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation
    Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
    http://arxiv.org/abs/1905.06684v1

    • [cs.LG]IPC: A Benchmark Data Set for Learning with Graph-Structured Data
    Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz
    http://arxiv.org/abs/1905.06393v1

    • [cs.LG]Inferring Javascript types using Graph Neural Networks
    Jessica Schrouff, Kai Wohlfahrt, Bruno Marnette, Liam Atkinson
    http://arxiv.org/abs/1905.06707v1

    • [cs.LG]Joint Learning of Neural Networks via Iterative Reweighted Least Squares
    Zaiwei Zhang, Xiangru Huang, Qixing Huang, Xiao Zhang, Yuan Li
    http://arxiv.org/abs/1905.06526v1

    • [cs.LG]LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
    Huaiyu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu
    http://arxiv.org/abs/1905.06331v1

    • [cs.LG]Learning discriminative features in sequence training without requiring framewise labelled data
    Jun Wang, Dan Su, Jie Chen, Shulin Feng, Dongpeng Ma, Na Li, Dong Yu
    http://arxiv.org/abs/1905.06907v1

    • [cs.LG]Leveraging exploration in off-policy algorithms via normalizing flows
    Bogdan Mazoure, Thang Doan, Audrey Durand, R Devon Hjelm, Joelle Pineau
    http://arxiv.org/abs/1905.06893v1

    • [cs.LG]Machine Learning at Microsoft with ML .NET
    Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupre, Vadim Eksarevskiy, Eric Erhardt, Costin Eseanu, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Sarthak Shah, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu
    http://arxiv.org/abs/1905.05715v2

    • [cs.LG]Meta Reinforcement Learning with Task Embedding and Shared Policy
    Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang
    http://arxiv.org/abs/1905.06527v1

    • [cs.LG]Meta reinforcement learning as task inference
    Jan Humplik, Alexandre Galashov, Leonard Hasenclever, Pedro A. Ortega, Yee Whye Teh, Nicolas Heess
    http://arxiv.org/abs/1905.06424v1

    • [cs.LG]MoGlow: Probabilistic and controllable motion synthesis using normalising flows
    Gustav Eje Henter, Simon Alexanderson, Jonas Beskow
    http://arxiv.org/abs/1905.06598v1

    • [cs.LG]On Conditioning GANs to Hierarchical Ontologies
    Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch
    http://arxiv.org/abs/1905.06586v1

    • [cs.LG]On Norm-Agnostic Robustness of Adversarial Training
    Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
    http://arxiv.org/abs/1905.06455v1

    • [cs.LG]On Variational Bounds of Mutual Information
    Ben Poole, Sherjil Ozair, Aaron van den Oord, Alexander A. Alemi, George Tucker
    http://arxiv.org/abs/1905.06922v1

    • [cs.LG]Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
    Seungyong Moon, Gaon An, Hyun Oh Song
    http://arxiv.org/abs/1905.06635v1

    • [cs.LG]Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation
    Ruohan Wang, Carlo Ciliberto, Pierluigi Amadori, Yiannis Demiris
    http://arxiv.org/abs/1905.06750v1

    • [cs.LG]STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction
    Hongnian Wang, Han Su
    http://arxiv.org/abs/1905.06576v1

    • [cs.LG]Stability of Linear Structural Equation Models of Causal Inference
    Karthik Abinav Sankararaman, Anand Louis, Navin Goyal
    http://arxiv.org/abs/1905.06836v1

    • [cs.LG]TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
    Sung Whan Yoon, Jun Seo, Jaekyun Moon
    http://arxiv.org/abs/1905.06549v1

    • [cs.NE]Building an Effective Intrusion Detection System using Unsupervised Feature Selection in Multi-objective Optimization Framework
    Chanchal Suman, Somanath Tripathy, Sriparna Saha
    http://arxiv.org/abs/1905.06562v1

    • [cs.NE]ELIMINATION from Design to Analysis
    Ahmed Khalifa, Dan Gopstein, Julian Togelius
    http://arxiv.org/abs/1905.06379v1

    • [cs.NE]Heterogeneous Parallel Genetic Algorithm Paradigm
    Menouar Boulif
    http://arxiv.org/abs/1905.06636v1

    • [cs.RO]Autonomous Vehicle Control: End-to-end Learning in Simulated Urban Environments
    Hege Haavaldsen, Max Aasboe, Frank Lindseth
    http://arxiv.org/abs/1905.06712v1

    • [cs.RO]Implementation 2D EKF-Based Simultaneous Localisation and Mapping for Mobile Robot
    Roni Permana Saputra
    http://arxiv.org/abs/1905.06529v1

    • [cs.RO]Learning Active Spine Behaviors for Dynamic and Efficient Locomotion in Quadruped Robots
    Shounak Bhattacharya, Abhik Singla, Abhimanyu, Dhaivat Dholakiya, Shalabh Bhatnagar, Bharadwaj Amrutur, Ashitava Ghosal, Shishir Kolathaya
    http://arxiv.org/abs/1905.06077v2

    • [cs.RO]MAVBench: Micro Aerial Vehicle Benchmarking
    Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Wenzhi Cui, Marcelino Almeida, Kayvan Mansoorshahi, Aleksandra Faust, Vijay Janapa Reddi
    http://arxiv.org/abs/1905.06388v1

    • [cs.RO]Synthesis of Provably Correct Autonomy Protocols for Shared Control
    Murat Cubuktepe, Nils Jansen, Mohammed Alsiekh, Ufuk Topcu
    http://arxiv.org/abs/1905.06471v1

    • [cs.RO]Trajectory Generation for Underactuated Multirotor Vehicles with Tilted Propellers via a Flatness-based Method
    Bingguo Mu, Pakpong Chirarattananon
    http://arxiv.org/abs/1905.06496v1

    • [cs.RO]Vision-based Robotic Grasping from Object Localization, Pose Estimation, Grasp Detection to Motion Planning: A Review
    Guoguang Du, Kai Wang, Shiguo Lian
    http://arxiv.org/abs/1905.06658v1

    • [cs.SI]An interdisciplinary survey of network similarity methods
    Emily Evans, Marissa Graham
    http://arxiv.org/abs/1905.06457v1

    • [cs.SI]InfoRest: Restricting Privacy Leakage to Online Social Network App
    Nemi Chandra Rathore, Somanath Tripathy
    http://arxiv.org/abs/1905.06403v1

    • [cs.SI]On the Fairness of Time-Critical Influence Maximization in Social Networks
    Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
    http://arxiv.org/abs/1905.06618v1

    • [eess.AS]Speaker-Independent Speech-Driven Visual Speech Synthesis using Domain-Adapted Acoustic Models
    Ahmed Hussen Abdelaziz, Barry-John Theobald, Justin Binder, Gabriele Fanelli, Paul Dixon, Nicholas Apostoloff, Thibaut Weise, Sachin Kajareker
    http://arxiv.org/abs/1905.06860v1

    • [eess.IV]Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression
    Anish Lahiri, Jeffrey A Fessler, Luis Hernandez-Garcia
    http://arxiv.org/abs/1905.06474v1

    • [eess.IV]X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
    Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng
    http://arxiv.org/abs/1905.06902v1

    • [eess.SP]Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods
    Weimin Zhou, Hua Li, Mark A. Anastasio
    http://arxiv.org/abs/1905.06330v1

    • [eess.SP]Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes
    Chengyao Sun, Weisi Guo
    http://arxiv.org/abs/1905.06744v1

    • [eess.SP]LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs
    Lei Chu, Husheng Li, Robert Caiming Qiu
    http://arxiv.org/abs/1905.06329v1

    • [eess.SP]Sample Efficient Toeplitz Covariance Estimation
    Yonina C. Eldar, Jerry Li, Cameron Musco, Christopher Musco
    http://arxiv.org/abs/1905.05643v2

    • [math.CO]Doubly transitive lines II: Almost simple symmetries
    Joseph W. Iverson, Dustin G. Mixon
    http://arxiv.org/abs/1905.06859v1

    • [math.NA]Simplicial splines for representation of density functions
    Jitka Machalova, Renata Talska, Karel Hron, Ales Gaba
    http://arxiv.org/abs/1905.06858v1

    • [math.PR]Stochastic precedence and minima among dependent variables. A study based on the multivariate conditional hazard rates
    Emilio De Santis, Yaakov Malinovsky, Fabio Spizzichino
    http://arxiv.org/abs/1905.06829v1

    • [math.PR]Transfer Entropy in Continuous Time
    Joshua N. Cooper, Christopher D. Edgar
    http://arxiv.org/abs/1905.06406v1

    • [math.ST]Adaptive estimation in the linear random coefficients model when regressors have limited variation
    Christophe Gaillac, Eric Gautier
    http://arxiv.org/abs/1905.06584v1

    • [math.ST]Moment-based Estimation of Mixtures of Regression Models
    Claus Thorn Ekstrøm, Christian Bressen Pipper
    http://arxiv.org/abs/1905.06467v1

    • [math.ST]When random initializations help: a study of variational inference for community detection
    Purnamrita Sarkar, Y. X. Rachel Wang, Soumendu Sunder Mukherjee
    http://arxiv.org/abs/1905.06661v1

    • [physics.comp-ph]Neutron Transmission Strain Tomography for Non-Constant Strain-Free Lattice Spacing
    J. N. Hendriks, C. Jidling, T. B. Schön, A. Wills, C. M. Wensrich, E. H. Kisi
    http://arxiv.org/abs/1905.06854v1

    • [physics.data-an]On the Automatic Parameter Selection for Permutation Entropy
    Audun Myers, Firas Khasawneh
    http://arxiv.org/abs/1905.06443v1

    • [physics.soc-ph]Control complexity: Diversity of structural controllability of complex networks with given degree sequence
    Abdorasoul Ghasemi, Márton Pósfai, Raissa M. D’Souza
    http://arxiv.org/abs/1905.06581v1

    • [q-bio.GN]ncRNA Classification with Graph Convolutional Networks
    Emanuele Rossi, Federico Monti, Michael Bronstein, Pietro Liò
    http://arxiv.org/abs/1905.06515v1

    • [quant-ph]Number-State Preserving Tensor Networks as Classifiers for Supervised Learning
    Glen Evenbly
    http://arxiv.org/abs/1905.06352v1

    • [stat.AP]Automated detection of business-relevant outliers in e-commerce conversion rate
    Rohan Wickramasuriya, Dean Marchiori
    http://arxiv.org/abs/1905.05938v2

    • [stat.AP]Compound Dirichlet Processes
    Arrigo Coen, Beatriz Godínez-Chaparro
    http://arxiv.org/abs/1905.06411v1

    • [stat.CO]The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
    Raj Agrawal, Jonathan H. Huggins, Brian Trippe, Tamara Broderick
    http://arxiv.org/abs/1905.06501v1

    • [stat.ME]Non-Asymptotic Inference in a Class of Optimization Problems
    Joel Horowitz, Sokbae Lee
    http://arxiv.org/abs/1905.06491v1

    • [stat.ME]The Statistical Finite Element Method
    Mark Girolami, Alastair Gregory, Ge Yin, Fehmi Cirak
    http://arxiv.org/abs/1905.06391v1

    • [stat.ME]mRSC: Multi-dimensional Robust Synthetic Control
    Muhummad Amjad, Vishal Misra, Devavrat Shah, Dennis Shen
    http://arxiv.org/abs/1905.06400v1

    • [stat.ML]Adaptive Sensor Placement for Continuous Spaces
    James A Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S Leslie, Sattar Vakili, Enrique Munoz de Cote
    http://arxiv.org/abs/1905.06821v1

    • [stat.ML]Additive Adversarial Learning for Unbiased Authentication
    Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu
    http://arxiv.org/abs/1905.06517v1

    • [stat.ML]The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA
    Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf
    http://arxiv.org/abs/1905.06642v1

    • [stat.ML]Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
    Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein
    http://arxiv.org/abs/1905.05897v2