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