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.DC - 分布式、并行与集群计算 cs.DM - 离散数学 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.MM - 多媒体 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.SP - 谱理论 math.ST - 统计理论 physics.bio-ph - 生物物理 q-bio.GN - 基因组学 q-bio.PE - 人口与发展 q-fin.PR - 证券定价 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Empowering Quality Diversity in Dungeon Design with Interactive Constrained MAP-Elites
    • [cs.AI]General Video Game Rule Generation
    • [cs.AI]Online Learning and Planning in Partially Observable Domains without Prior Knowledge
    • [cs.AI]Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report)
    • [cs.AI]Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
    • [cs.CL]A Structured Learning Approach to Temporal Relation Extraction
    • [cs.CL]A Systematic Comparison of English Noun Compound Representations
    • [cs.CL]Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records
    • [cs.CL]BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization
    • [cs.CL]CogCompTime: A Tool for Understanding Time in Natural Language Text
    • [cs.CL]Concept Discovery through Information Extraction in Restaurant Domain
    • [cs.CL]Continual and Multi-Task Architecture Search
    • [cs.CL]Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension
    • [cs.CL]Incremental Learning from Scratch for Task-Oriented Dialogue Systems
    • [cs.CL]Joint Reasoning for Temporal and Causal Relations
    • [cs.CL]Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism
    • [cs.CL]Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
    • [cs.CL]PerspectroScope: A Window to the World of Diverse Perspectives
    • [cs.CL]Probing Multilingual Sentence Representations With X-Probe
    • [cs.CL]Putting words in context: LSTM language models and lexical ambiguity
    • [cs.CL]Towards Geocoding Spatial Expressions
    • [cs.CL]Unified Semantic Parsing with Weak Supervision
    • [cs.CL]Unmasking Bias in News
    • [cs.CL]Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
    • [cs.CL]Unsupervised Question Answering by Cloze Translation
    • [cs.CR]Differential Imaging Forensics
    • [cs.CR]Secure Federated Matrix Factorization
    • [cs.CV]All-Weather Deep Outdoor Lighting Estimation
    • [cs.CV]Boosting Few-Shot Visual Learning with Self-Supervision
    • [cs.CV]CDPM: Convolutional Deformable Part Models for Person Re-identification
    • [cs.CV]Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network
    • [cs.CV]Compressive Hyperspherical Energy Minimization
    • [cs.CV]DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators
    • [cs.CV]Different Approaches for Human Activity Recognition: A Survey
    • [cs.CV]Edge-Direct Visual Odometry
    • [cs.CV]Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems
    • [cs.CV]Hand Orientation Estimation in Probability Density Form
    • [cs.CV]Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network
    • [cs.CV]High Accuracy Classification of White Blood Cells using TSLDA Classifier and Covariance Features
    • [cs.CV]Indoor image representation by high-level semantic features
    • [cs.CV]Inferring 3D Shapes from Image Collections using Adversarial Networks
    • [cs.CV]LAEO-Net: revisiting people Looking At Each Other in videos
    • [cs.CV]LED2Net: Deep Illumination-aware Dehazing with Low-light and Detail Enhancement
    • [cs.CV]NAS-FCOS: Fast Neural Architecture Search for Object Detection
    • [cs.CV]Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning
    • [cs.CV]Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects
    • [cs.CV]Presence-Only Geographical Priors for Fine-Grained Image Classification
    • [cs.CV]Recognizing Manipulation Actions from State-Transformations
    • [cs.CV]Recurrent U-Net for Resource-Constrained Segmentation
    • [cs.CV]Semi-Supervised Exploration in Image Retrieval
    • [cs.CV]Suppressing Model Overfitting for Image Super-Resolution Networks
    • [cs.CV]Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection
    • [cs.CV]Tackling Partial Domain Adaptation with Self-Supervision
    • [cs.CV]Task-Aware Deep Sampling for Feature Generation
    • [cs.CV]Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets
    • [cs.CV]Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
    • [cs.CV]Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction
    • [cs.CV]Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition
    • [cs.DC]Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets
    • [cs.DC]Checkpoint/restart approaches for a thread-based MPI runtime
    • [cs.DC]Handel: Practical Multi-Signature Aggregation for Large Byzantine Committees
    • [cs.DM]Relative Hausdorff Distance for Network Analysis
    • [cs.DS]Sorted Top-k in Rounds
    • [cs.HC]Toward Best Practices for Explainable B2B Machine Learning
    • [cs.IR]A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications
    • [cs.IR]From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation
    • [cs.IR]Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
    • [cs.IR]Innovating HR Using an Expert System for Recruiting IT Specialists — ESRIT
    • [cs.IR]Modeling the Past and Future Contexts for Session-based Recommendation
    • [cs.IR]Real-time Attention Based Look-alike Model for Recommender System
    • [cs.IR]Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
    • [cs.IT]Collaborative Broadcast in O(log log n) Rounds
    • [cs.IT]Good Stabilizer Codes from Quasi-Cyclic Codes over $\mathbb{F}_4$ and $\mathbb{F}_9$
    • [cs.IT]On Universal Codes for Integers: Wallace Tree, Elias Omega and Variations
    • [cs.IT]Second-best Beam-Alignment via Bayesian Multi-Armed Bandits
    • [cs.IT]Spectral Bounds for Quasi-Twisted Codes
    • [cs.LG]A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
    • [cs.LG]A Model to Search for Synthesizable Molecules
    • [cs.LG]A Stratified Approach to Robustness for Randomly Smoothed Classifiers
    • [cs.LG]Adaptively Preconditioned Stochastic Gradient Langevin Dynamics
    • [cs.LG]Artificial Intelligence Enabled Material Behavior Prediction
    • [cs.LG]Associative Convolutional Layers
    • [cs.LG]Coresets for Gaussian Mixture Models of Any Shape
    • [cs.LG]DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering
    • [cs.LG]Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
    • [cs.LG]Decoupling Gating from Linearity
    • [cs.LG]Deep 2FBSDEs for Systems with Control Multiplicative Noise
    • [cs.LG]Deep Learning for Spatio-Temporal Data Mining: A Survey
    • [cs.LG]Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks
    • [cs.LG]Discrepancy, Coresets, and Sketches in Machine Learning
    • [cs.LG]Does Learning Require Memorization? A Short Tale about a Long Tail
    • [cs.LG]DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
    • [cs.LG]Dynamical Anatomy of NARMA10 Benchmark Task
    • [cs.LG]Efficient Exploration via State Marginal Matching
    • [cs.LG]Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
    • [cs.LG]Fast Task Inference with Variational Intrinsic Successor Features
    • [cs.LG]GluonTS: Probabilistic Time Series Models in Python
    • [cs.LG]Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
    • [cs.LG]Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs
    • [cs.LG]Improving Reproducible Deep Learning Workflows with DeepDIVA
    • [cs.LG]Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance
    • [cs.LG]Is Deep Learning an RG Flow?
    • [cs.LG]Issues with post-hoc counterfactual explanations: a discussion
    • [cs.LG]Macro-action Multi-timescale Dynamic Programming for Energy Management with Phase Change Materials
    • [cs.LG]Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification
    • [cs.LG]Multiple instance learning with graph neural networks
    • [cs.LG]Multitask Learning for Network Traffic Classification
    • [cs.LG]Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings
    • [cs.LG]Non-Parametric Calibration for Classification
    • [cs.LG]On regularization for a convolutional kernel in neural networks
    • [cs.LG]Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning
    • [cs.LG]Parameterized Structured Pruning for Deep Neural Networks
    • [cs.LG]Partial Or Complete, That’s The Question
    • [cs.LG]Position-aware Graph Neural Networks
    • [cs.LG]Power Gradient Descent
    • [cs.LG]Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
    • [cs.LG]Reinforcement Learning for Integer Programming: Learning to Cut
    • [cs.LG]Run-Time Efficient RNN Compression for Inference on Edge Devices
    • [cs.LG]SPoC: Search-based Pseudocode to Code
    • [cs.LG]Semi-flat minima and saddle points by embedding neural networks to overparameterization
    • [cs.LG]Stability of Graph Scattering Transforms
    • [cs.LG]Statistical guarantees for local graph clustering
    • [cs.LG]Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference
    • [cs.LG]Towards Inverse Reinforcement Learning for Limit Order Book Dynamics
    • [cs.LG]Using Small Proxy Datasets to Accelerate Hyperparameter Search
    • [cs.LG]Warping Resilient Time Series Embeddings
    • [cs.LG]When to use parametric models in reinforcement learning?
    • [cs.LG]Who Will Win It? An In-game Win Probability Model for Football
    • [cs.MM]Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory
    • [cs.NI]Towards Big data processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System
    • [cs.RO]A Survey of Autonomous Driving: Common Practices and Emerging Technologies
    • [cs.RO]Active Learning of Dynamics for Data-Driven Control Using Koopman Operators
    • [cs.RO]Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues
    • [cs.RO]Co-modelling of Agricultural Robotic Systems
    • [cs.RO]DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
    • [cs.RO]Enhancing the Vertical Mobility of a Robot Hexapod Using Microspines
    • [cs.RO]Identification of Motor Parameters on Coupled Joints
    • [cs.RO]Kinematics of Spherical Robots Rolling Over 3D Terrains
    • [cs.RO]Snake-Like Robots for Minimally Invasive, Single Port, and Intraluminal Surgeries
    • [cs.RO]Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach
    • [cs.SE]Does BLEU Score Work for Code Migration?
    • [cs.SI]A decentralized trust-aware collaborative filtering recommender system based on weighted items for social tagging systems
    • [cs.SI]Optimizing city-scale traffic flows through modeling isolated observations of vehicle movements
    • [cs.SI]Power-law Verification for Event Detection at Multi-spatial Scales from Geo-tagged Tweet Streams
    • [cs.SI]Understanding Vulnerability of Communities in Complex Networks
    • [cs.SI]Weighted, Bipartite, or Directed Stream Graphs for the Modeling of Temporal Networks
    • [eess.IV]Joint 3D Localization and Classification of Space Debris using a Multispectral Rotating Point Spread Function
    • [eess.IV]`Project & Excite’ Modules for Segmentation of Volumetric Medical Scans
    • [eess.SP]Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications
    • [eess.SY]Reinforcement-Learning-based Adaptive Optimal Control for Arbitrary Reference Tracking
    • [math.OC]Critical Point Finding with Newton-MR by Analogy to Computing Square Roots
    • [math.OC]Deep Forward-Backward SDEs for Min-max Control
    • [math.OC]Global optimization using Sobol indices
    • [math.SP]Spectral Ratio for Positive Matrices
    • [math.ST]Knowledge Gradient for Selection with Covariates: Consistency and Computation
    • [math.ST]Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
    • [math.ST]Robust subgaussian estimation of a mean vector in nearly linear time
    • [math.ST]Stein’s method and the distribution of the product of zero mean correlated normal random variables
    • [math.ST]Structure-adaptive manifold estimation
    • [physics.bio-ph]High-resolution Markov state models for the dynamics of Trp-cage miniprotein constructed over slow folding modes identified by state-free reversible VAMPnets
    • [q-bio.GN]Exploring Bayesian approaches to eQTL mapping through probabilistic programming
    • [q-bio.PE]Markov-modulated continuous-time Markov chains to identify site- and branch-specific evolutionary variation
    • [q-bio.PE]Relaxed random walks at scale
    • [q-fin.PR]Deep Smoothing of the Implied Volatility Surface
    • [stat.AP]A Bayesian Hierarchical Model for Evaluating Forensic Footwear Evidence
    • [stat.AP]Applying economic measures to lapse risk management with machine learning approaches
    • [stat.AP]Assessing the effects of exposure to sulfuric acid aerosol on respiratory function in adults
    • [stat.AP]Estimating the Number of Fatal Victims of the Peruvian Internal Armed Conflict, 1980-2000: an application of modern multi-list Capture-Recapture techniques
    • [stat.AP]Technical Preprint: Rationale and Design of a Planned Observational Study to Evaluate the Impact of Hydrocodone Rescheduling on Opioid Prescribing After Surgery
    • [stat.ME]A mnotone data augmentation algorithm for longitudinal data analysis via multivariate skew-t, skew-normal or t distributions
    • [stat.ME]Distribution-Free Multisample Test Based on Optimal Matching with Applications to Single Cell Genomics
    • [stat.ME]Functional Singular Spectrum Analysis
    • [stat.ME]Learning High-Dimensional Gaussian Graphical Models under Total Positivity without Tuning Parameters
    • [stat.ME]Model Testing for Generalized Scalar-on-Function Linear Models
    • [stat.ME]Structure learning of Bayesian networks involving cyclic structures
    • [stat.ME]The EAS approach for graphical selection consistency in vector autoregression models
    • [stat.ML]ADASS: Adaptive Sample Selection for Training Acceleration
    • [stat.ML]Attention-based Multi-Input Deep Learning Architecture for Biological Activity Prediction: An Application in EGFR Inhibitors
    • [stat.ML]Bootstrapping Upper Confidence Bound
    • [stat.ML]Communication-Efficient Accurate Statistical Estimation
    • [stat.ML]Improving Importance Weighted Auto-Encoders with Annealed Importance Sampling
    • [stat.ML]Medium-Term Load Forecasting Using Support Vector Regression, Feature Selection, and Symbiotic Organism Search Optimization
    • [stat.ML]On the Universality of Noiseless Linear Estimation with Respect to the Measurement Matrix
    • [stat.ML]Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
    • [stat.ML]Task Agnostic Continual Learning via Meta Learning
    • [stat.ML]The Impact of Regularization on High-dimensional Logistic Regression

    ·····································

    • [cs.AI]Empowering Quality Diversity in Dungeon Design with Interactive Constrained MAP-Elites
    Alberto Alvarez, Steve Dahlskog, Jose Font, Julian Togelius
    http://arxiv.org/abs/1906.05175v1

    • [cs.AI]General Video Game Rule Generation
    Ahmed Khalifa, Michael Cerny Green, Diego Perez-Liebana, Julian Togelius
    http://arxiv.org/abs/1906.05160v1

    • [cs.AI]Online Learning and Planning in Partially Observable Domains without Prior Knowledge
    Yunlong Liu, Jianyang Zheng
    http://arxiv.org/abs/1906.05130v1

    • [cs.AI]Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report)
    Nico Potyka, Sylwia Polberg, Anthony Hunter
    http://arxiv.org/abs/1906.05066v1

    • [cs.AI]Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
    Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine
    http://arxiv.org/abs/1906.05253v1

    • [cs.CL]A Structured Learning Approach to Temporal Relation Extraction
    Qiang Ning, Zhili Feng, Dan Roth
    http://arxiv.org/abs/1906.04943v1

    • [cs.CL]A Systematic Comparison of English Noun Compound Representations
    Vered Shwartz
    http://arxiv.org/abs/1906.04772v1

    • [cs.CL]Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records
    Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann
    http://arxiv.org/abs/1906.05000v1

    • [cs.CL]BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization
    Kai Wang, Xiaojun Quan, Rui Wang
    http://arxiv.org/abs/1906.05012v1

    • [cs.CL]CogCompTime: A Tool for Understanding Time in Natural Language Text
    Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth
    http://arxiv.org/abs/1906.04940v1

    • [cs.CL]Concept Discovery through Information Extraction in Restaurant Domain
    Nadeesha Pathirana, Sandaru Seneviratne, Rangika Samarawickrama, Shane Wolff, Charith Chitraranjan, Uthayasanker Thayasivam, Tharindu Ranasinghe
    http://arxiv.org/abs/1906.05039v1

    • [cs.CL]Continual and Multi-Task Architecture Search
    Ramakanth Pasunuru, Mohit Bansal
    http://arxiv.org/abs/1906.05226v1

    • [cs.CL]Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension
    Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal
    http://arxiv.org/abs/1906.05210v1

    • [cs.CL]Incremental Learning from Scratch for Task-Oriented Dialogue Systems
    Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong, Zhifei Li
    http://arxiv.org/abs/1906.04991v1

    • [cs.CL]Joint Reasoning for Temporal and Causal Relations
    Qiang Ning, Zhili Feng, Hao Wu, Dan Roth
    http://arxiv.org/abs/1906.04941v1

    • [cs.CL]Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism
    Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko
    http://arxiv.org/abs/1906.05275v1

    • [cs.CL]Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
    Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, Colin Raffel
    http://arxiv.org/abs/1906.05218v1

    • [cs.CL]PerspectroScope: A Window to the World of Diverse Perspectives
    Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth
    http://arxiv.org/abs/1906.04761v1

    • [cs.CL]Probing Multilingual Sentence Representations With X-Probe
    Vinit Ravishankar, Lilja Øvrelid, Erik Velldal
    http://arxiv.org/abs/1906.05061v1

    • [cs.CL]Putting words in context: LSTM language models and lexical ambiguity
    Laura Aina, Kristina Gulordava, Gemma Boleda
    http://arxiv.org/abs/1906.05149v1

    • [cs.CL]Towards Geocoding Spatial Expressions
    Hussein S. Al-Olimat, Valerie L. Shalin, Krishnaprasad Thirunarayan, Joy Prakash Sain
    http://arxiv.org/abs/1906.04960v1

    • [cs.CL]Unified Semantic Parsing with Weak Supervision
    Priyanka Agrawal, Parag Jain, Ayushi Dalmia, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan
    http://arxiv.org/abs/1906.05062v1

    • [cs.CL]Unmasking Bias in News
    Javier Sánchez-Junquera, Paolo Rosso, Manuel Montes-y-Gómez, Simone Paolo Ponzetto
    http://arxiv.org/abs/1906.04836v1

    • [cs.CL]Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
    Alexander Hoyle, Wolf-Sonkin, Hanna Wallach, Isabelle Augenstein, Ryan Cotterell
    http://arxiv.org/abs/1906.04760v1

    • [cs.CL]Unsupervised Question Answering by Cloze Translation
    Patrick Lewis, Ludovic Denoyer, Sebastian Riedel
    http://arxiv.org/abs/1906.04980v1

    • [cs.CR]Differential Imaging Forensics
    Aurélien Bourquard, Jeff Yan
    http://arxiv.org/abs/1906.05268v1

    • [cs.CR]Secure Federated Matrix Factorization
    Di Chai, Leye Wang, Kai Chen, Qiang Yang
    http://arxiv.org/abs/1906.05108v1

    • [cs.CV]All-Weather Deep Outdoor Lighting Estimation
    Jinsong Zhang, Kalyan Sunkavalli, Yannick Hold-Geoffroy, Sunil Hadap, Jonathan Eisenmann, Jean-François Lalonde
    http://arxiv.org/abs/1906.04909v1

    • [cs.CV]Boosting Few-Shot Visual Learning with Self-Supervision
    Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
    http://arxiv.org/abs/1906.05186v1

    • [cs.CV]CDPM: Convolutional Deformable Part Models for Person Re-identification
    Kan Wang, Changxing Ding, Stephen J. Maybank, Dacheng Tao
    http://arxiv.org/abs/1906.04976v1

    • [cs.CV]Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network
    Yuxiang Dai, Peixian Zhuang
    http://arxiv.org/abs/1906.05251v1

    • [cs.CV]Compressive Hyperspherical Energy Minimization
    Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
    http://arxiv.org/abs/1906.04892v1

    • [cs.CV]DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators
    Sheng Chen, Xu Wang, Chao Chen, Yifan Lu, Xijin Zhang, Linfu Wen
    http://arxiv.org/abs/1906.04979v1

    • [cs.CV]Different Approaches for Human Activity Recognition: A Survey
    Zawar Hussain, Michael Sheng, Wei Emma Zhang
    http://arxiv.org/abs/1906.05074v1

    • [cs.CV]Edge-Direct Visual Odometry
    Kevin Christensen, Martial Hebert
    http://arxiv.org/abs/1906.04838v1

    • [cs.CV]Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems
    Ahmad Kalhor, Mohsen Saffar, Melika Kheirieh, Somayyeh Hoseinipoor, Babak N. Araabi
    http://arxiv.org/abs/1906.05156v1

    • [cs.CV]Hand Orientation Estimation in Probability Density Form
    Kazuaki Kondo, Daisuke Deguchi, Atsushi Shimada
    http://arxiv.org/abs/1906.04952v1

    • [cs.CV]Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network
    Junho Jo, Hyung Il Koo, Jae Woong Soh, Nam Ik Cho
    http://arxiv.org/abs/1906.05229v1

    • [cs.CV]High Accuracy Classification of White Blood Cells using TSLDA Classifier and Covariance Features
    Hamed Talebi, Amin Ranjbar, Alireza Davoudi, Hamed Gholami, Mohammad Bagher Menhaj
    http://arxiv.org/abs/1906.05131v1

    • [cs.CV]Indoor image representation by high-level semantic features
    Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal
    http://arxiv.org/abs/1906.04987v1

    • [cs.CV]Inferring 3D Shapes from Image Collections using Adversarial Networks
    Matheus Gadelha, Aartika Rai, Subhransu Maji, Rui Wang
    http://arxiv.org/abs/1906.04910v1

    • [cs.CV]LAEO-Net: revisiting people Looking At Each Other in videos
    Manuel J. Marin-Jimenez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman
    http://arxiv.org/abs/1906.05261v1

    • [cs.CV]LED2Net: Deep Illumination-aware Dehazing with Low-light and Detail Enhancement
    Guisik Kim, Junseok Kwon
    http://arxiv.org/abs/1906.05119v1

    • [cs.CV]NAS-FCOS: Fast Neural Architecture Search for Object Detection
    Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen
    http://arxiv.org/abs/1906.04423v2

    • [cs.CV]Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning
    Xiangxi Mo, Ruizhe Cheng, Tianyi Fang
    http://arxiv.org/abs/1906.04950v1

    • [cs.CV]Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects
    Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet
    http://arxiv.org/abs/1906.05105v1

    • [cs.CV]Presence-Only Geographical Priors for Fine-Grained Image Classification
    Oisin Mac Aodha, Elijah Cole, Pietro Perona
    http://arxiv.org/abs/1906.05272v1

    • [cs.CV]Recognizing Manipulation Actions from State-Transformations
    Nachwa Aboubakr, James L. Crowley, Remi Ronfard
    http://arxiv.org/abs/1906.05147v1

    • [cs.CV]Recurrent U-Net for Resource-Constrained Segmentation
    Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
    http://arxiv.org/abs/1906.04913v1

    • [cs.CV]Semi-Supervised Exploration in Image Retrieval
    Cheng Chang, Himanshu Rai, Satya Krishna Gorti, Junwei Ma, Chundi Liu, Guangwei Yu, Maksims Volkovs
    http://arxiv.org/abs/1906.04944v1

    • [cs.CV]Suppressing Model Overfitting for Image Super-Resolution Networks
    Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong
    http://arxiv.org/abs/1906.04809v1

    • [cs.CV]Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection
    Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Hideki Nakayama, Yuanzhong Li
    http://arxiv.org/abs/1906.04962v1

    • [cs.CV]Tackling Partial Domain Adaptation with Self-Supervision
    Silvia Bucci, Antonio D’Innocente, Tatiana Tommasi
    http://arxiv.org/abs/1906.05199v1

    • [cs.CV]Task-Aware Deep Sampling for Feature Generation
    Xin Wang, Fisher Yu, Trevor Darrell, Joseph E. Gonzalez
    http://arxiv.org/abs/1906.04854v1

    • [cs.CV]Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets
    Ines Rieger, Thomas Hauenstein, Sebastian Hettenkofer, Jens-Uwe Garbas
    http://arxiv.org/abs/1906.05203v1

    • [cs.CV]Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
    Xin Li, Rui Cao, Dongxiao Zhu
    http://arxiv.org/abs/1906.05190v1

    • [cs.CV]Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction
    Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael Bernstein, Li Fei-Fei
    http://arxiv.org/abs/1906.04876v1

    • [cs.CV]Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition
    Ping Hu, Ximeng Sun, Kate Saenko, Stan Sclaroff
    http://arxiv.org/abs/1906.04833v1

    • [cs.DC]Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets
    Kai Keller, Leonardo Bautista Gomez
    http://arxiv.org/abs/1906.05038v1

    • [cs.DC]Checkpoint/restart approaches for a thread-based MPI runtime
    Julien Adam, Maxime Kermarquer, Jean-Baptiste Besnard, Leonardo Bautista-Gomez, Marc Perache, Patrick Carribault, Julien Jaeger, Allen D. Malony, Sameer Shende
    http://arxiv.org/abs/1906.05020v1

    • [cs.DC]Handel: Practical Multi-Signature Aggregation for Large Byzantine Committees
    Olivier Bégassat, Blazej Kolad, Nicolas Gailly, Nicolas Liochon
    http://arxiv.org/abs/1906.05132v1

    • [cs.DM]Relative Hausdorff Distance for Network Analysis
    Sinan G. Aksoy, Kathleen E. Nowak, Emilie Purvine, Stephen J. Young
    http://arxiv.org/abs/1906.04936v1

    • [cs.DS]Sorted Top-k in Rounds
    Mark Braverman, Jieming Mao, Yuval Peres
    http://arxiv.org/abs/1906.05208v1

    • [cs.HC]Toward Best Practices for Explainable B2B Machine Learning
    Kit Kuksenok
    http://arxiv.org/abs/1906.04837v1

    • [cs.IR]A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications
    Finn Kuusisto, John Steill, Zhaobin Kuang, James Thomson, David Page, Ron Stewart
    http://arxiv.org/abs/1906.05255v1

    • [cs.IR]From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation
    Abhay Kumar, Nishant Jain, Suraj Tripathi, Chirag Singh
    http://arxiv.org/abs/1906.04914v1

    • [cs.IR]Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
    Hao Peng, Jianxin Li, Qiran Gong, Senzhang Wang, Lifang He, Bo Li, Lihong Wang, Philip S. Yu
    http://arxiv.org/abs/1906.04898v1

    • [cs.IR]Innovating HR Using an Expert System for Recruiting IT Specialists — ESRIT
    Ciprian-Octavian Truică, Adriana Barnoschi
    http://arxiv.org/abs/1906.04915v1

    • [cs.IR]Modeling the Past and Future Contexts for Session-based Recommendation
    Yuan Fajie, He Xiangnan, Guo Guibing, Xu Zhezhao, Xiong Jian, He Xiuqiang
    http://arxiv.org/abs/1906.04473v2

    • [cs.IR]Real-time Attention Based Look-alike Model for Recommender System
    Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin
    http://arxiv.org/abs/1906.05022v1

    • [cs.IR]Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
    Yikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, Yongfeng Zhang
    http://arxiv.org/abs/1906.05237v1

    • [cs.IT]Collaborative Broadcast in O(log log n) Rounds
    Christian Schindelhauer, Aditya Oak, Thomas Janson
    http://arxiv.org/abs/1906.05153v1

    • [cs.IT]Good Stabilizer Codes from Quasi-Cyclic Codes over $\mathbb{F}_4$ and $\mathbb{F}_9$
    Martianus Frederic Ezerman, San Ling, Buket Özkaya, Patrick Solé
    http://arxiv.org/abs/1906.04964v1

    • [cs.IT]On Universal Codes for Integers: Wallace Tree, Elias Omega and Variations
    Lloyd Allison, Arun Konagurthu, Daniel Schmidt
    http://arxiv.org/abs/1906.05004v1

    • [cs.IT]Second-best Beam-Alignment via Bayesian Multi-Armed Bandits
    Muddassar Hussain, Nicolo Michelusi
    http://arxiv.org/abs/1906.04782v1

    • [cs.IT]Spectral Bounds for Quasi-Twisted Codes
    Martianus Frederic Ezerman, San Ling, Buket Özkaya, Jareena Tharnnukhroh
    http://arxiv.org/abs/1906.04967v1

    • [cs.LG]A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
    Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent, Simon Lacoste-Julien
    http://arxiv.org/abs/1906.04848v1

    • [cs.LG]A Model to Search for Synthesizable Molecules
    John Bradshaw, Brooks Paige, Matt J. Kusner, Marwin H. S. Segler, José Miguel Hernández-Lobato
    http://arxiv.org/abs/1906.05221v1

    • [cs.LG]A Stratified Approach to Robustness for Randomly Smoothed Classifiers
    Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola
    http://arxiv.org/abs/1906.04948v1

    • [cs.LG]Adaptively Preconditioned Stochastic Gradient Langevin Dynamics
    Chandrasekaran Anirudh Bhardwaj
    http://arxiv.org/abs/1906.04324v2

    • [cs.LG]Artificial Intelligence Enabled Material Behavior Prediction
    Timothy Hanlon, Johan Reimann, Monica A. Soare, Anjali Singhal, James Grande, Marc Edgar, Kareem S. Aggour, Joseph Vinciquerra
    http://arxiv.org/abs/1906.05270v1

    • [cs.LG]Associative Convolutional Layers
    Hamed Omidvar, Vahideh Akhlaghi, Massimo Franceschetti, Rajesh K. Gupta
    http://arxiv.org/abs/1906.04309v2

    • [cs.LG]Coresets for Gaussian Mixture Models of Any Shape
    Dan Feldman, Zahi Kfir, Xuan Wu
    http://arxiv.org/abs/1906.04895v1

    • [cs.LG]DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering
    Jielei Chu, Hongjun Wang, Jing Liu, Zeng Yu, Tianrui Li
    http://arxiv.org/abs/1906.05173v1

    • [cs.LG]Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
    Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, Stefano V. Albrecht
    http://arxiv.org/abs/1906.04737v1

    • [cs.LG]Decoupling Gating from Linearity
    Jonathan Fiat, Eran Malach, Shai Shalev-Shwartz
    http://arxiv.org/abs/1906.05032v1

    • [cs.LG]Deep 2FBSDEs for Systems with Control Multiplicative Noise
    Ziyi Wang, Marcus A. Pereira, Evangelos A. Theodorou
    http://arxiv.org/abs/1906.04762v1

    • [cs.LG]Deep Learning for Spatio-Temporal Data Mining: A Survey
    Senzhang Wang, Jiannong Cao, Philip S. Yu
    http://arxiv.org/abs/1906.04928v1

    • [cs.LG]Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks
    Ming Zhu, Xiao-Yang Liu, Xiaodong Wang
    http://arxiv.org/abs/1906.05015v1

    • [cs.LG]Discrepancy, Coresets, and Sketches in Machine Learning
    Zohar Karnin, Edo Liberty
    http://arxiv.org/abs/1906.04845v1

    • [cs.LG]Does Learning Require Memorization? A Short Tale about a Long Tail
    Vitaly Feldman
    http://arxiv.org/abs/1906.05271v1

    • [cs.LG]DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
    Ofir Nachum, Yinlam Chow, Bo Dai, Lihong Li
    http://arxiv.org/abs/1906.04733v1

    • [cs.LG]Dynamical Anatomy of NARMA10 Benchmark Task
    Tomoyuki Kubota, Kohei Nakajima, Hirokazu Takahashi
    http://arxiv.org/abs/1906.04608v2

    • [cs.LG]Efficient Exploration via State Marginal Matching
    Lisa Lee, Benjamin Eysenbach, Emilio Parisotto, Eric Xing, Sergey Levine, Ruslan Salakhutdinov
    http://arxiv.org/abs/1906.05274v1

    • [cs.LG]Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
    Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas
    http://arxiv.org/abs/1906.04893v1

    • [cs.LG]Fast Task Inference with Variational Intrinsic Successor Features
    Steven Hansen, Will Dabney, Andre Barreto, Tom Van de Wiele, David Warde-Farley, Volodymyr Mnih
    http://arxiv.org/abs/1906.05030v1

    • [cs.LG]GluonTS: Probabilistic Time Series Models in Python
    Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang
    http://arxiv.org/abs/1906.05264v1

    • [cs.LG]Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
    Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun
    http://arxiv.org/abs/1906.05017v1

    • [cs.LG]Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs
    Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu
    http://arxiv.org/abs/1906.05059v1

    • [cs.LG]Improving Reproducible Deep Learning Workflows with DeepDIVA
    Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki
    http://arxiv.org/abs/1906.04736v1

    • [cs.LG]Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance
    Qiuyu Zhu, Zikuang He, Xin Ye
    http://arxiv.org/abs/1906.04734v1

    • [cs.LG]Is Deep Learning an RG Flow?
    Ellen de Mello Koch, Robert de Mello Koch, Ling Cheng
    http://arxiv.org/abs/1906.05212v1

    • [cs.LG]Issues with post-hoc counterfactual explanations: a discussion
    Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
    http://arxiv.org/abs/1906.04774v1

    • [cs.LG]Macro-action Multi-timescale Dynamic Programming for Energy Management with Phase Change Materials
    Zahra Rahimpour, Gregor Verbic, Archie C. Chapman
    http://arxiv.org/abs/1906.05200v1

    • [cs.LG]Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification
    Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira
    http://arxiv.org/abs/1906.05202v1

    • [cs.LG]Multiple instance learning with graph neural networks
    Ming Tu, Jing Huang, Xiaodong He, Bowen Zhou
    http://arxiv.org/abs/1906.04881v1

    • [cs.LG]Multitask Learning for Network Traffic Classification
    Shahbaz Rezaei, Xin Liu
    http://arxiv.org/abs/1906.05248v1

    • [cs.LG]Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings
    Alexander I. Cowen-Rivers, Pasquale Minervini, Tim Rocktaschel, Matko Bovsnjak, Sebastian Riedel, Jun Wang
    http://arxiv.org/abs/1906.04985v1

    • [cs.LG]Non-Parametric Calibration for Classification
    Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel
    http://arxiv.org/abs/1906.04933v1

    • [cs.LG]On regularization for a convolutional kernel in neural networks
    Peichang Guo, Qiang Ye
    http://arxiv.org/abs/1906.04866v1

    • [cs.LG]Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning
    Nicolas Skatchkovsky, Osvaldo Simeone
    http://arxiv.org/abs/1906.04488v2

    • [cs.LG]Parameterized Structured Pruning for Deep Neural Networks
    Guenther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Froening
    http://arxiv.org/abs/1906.05180v1

    • [cs.LG]Partial Or Complete, That’s The Question
    Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth
    http://arxiv.org/abs/1906.04937v1

    • [cs.LG]Position-aware Graph Neural Networks
    Jiaxuan You, Rex Ying, Jure Leskovec
    http://arxiv.org/abs/1906.04817v1

    • [cs.LG]Power Gradient Descent
    Marco Baiesi
    http://arxiv.org/abs/1906.04787v1

    • [cs.LG]Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
    Zihan Zhang, Xiangyang Ji
    http://arxiv.org/abs/1906.05110v1

    • [cs.LG]Reinforcement Learning for Integer Programming: Learning to Cut
    Yunhao Tang, Shipra Agrawal, Yuri Faenza
    http://arxiv.org/abs/1906.04859v1

    • [cs.LG]Run-Time Efficient RNN Compression for Inference on Edge Devices
    Urmish Thakker, Jesse Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina
    http://arxiv.org/abs/1906.04886v1

    • [cs.LG]SPoC: Search-based Pseudocode to Code
    Sumith Kulal, Panupong Pasupat, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, Percy Liang
    http://arxiv.org/abs/1906.04908v1

    • [cs.LG]Semi-flat minima and saddle points by embedding neural networks to overparameterization
    Kenji Fukumizu, Shoichiro Yamaguch, Yoh-ichi Mototake, Mirai Tanaka
    http://arxiv.org/abs/1906.04868v1

    • [cs.LG]Stability of Graph Scattering Transforms
    Fernando Gama, Joan Bruna, Alejandro Ribeiro
    http://arxiv.org/abs/1906.04784v1

    • [cs.LG]Statistical guarantees for local graph clustering
    Wooseok Ha, Kimon Fountoulakis, Michael W. Mahoney
    http://arxiv.org/abs/1906.04863v1

    • [cs.LG]Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference
    Michele Covell, David Marwood, Shumeet Baluja, Nick Johnston
    http://arxiv.org/abs/1906.04798v1

    • [cs.LG]Towards Inverse Reinforcement Learning for Limit Order Book Dynamics
    Jacobo Roa-Vicens, Cyrine Chtourou, Angelos Filos, Francisco Rullan, Yarin Gal, Ricardo Silva
    http://arxiv.org/abs/1906.04813v1

    • [cs.LG]Using Small Proxy Datasets to Accelerate Hyperparameter Search
    Sam Shleifer, Eric Prokop
    http://arxiv.org/abs/1906.04887v1

    • [cs.LG]Warping Resilient Time Series Embeddings
    Anish Mathew, Deepak P, Sahely Bhadra
    http://arxiv.org/abs/1906.05205v1

    • [cs.LG]When to use parametric models in reinforcement learning?
    Hado van Hasselt, Matteo Hessel, John Aslanides
    http://arxiv.org/abs/1906.05243v1

    • [cs.LG]Who Will Win It? An In-game Win Probability Model for Football
    Pieter Robberechts, Jan Van Haaren, Jesse Davis
    http://arxiv.org/abs/1906.05029v1

    • [cs.MM]Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory
    Zhibo Chen, Jiahua Xu, Chaoyi Lin, Wei Zhou
    http://arxiv.org/abs/1906.05165v1

    • [cs.NI]Towards Big data processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System
    Shuo Wan, Jiaxun Lu, Pingyi Fan, Khaled B. Letaief
    http://arxiv.org/abs/1906.05023v1

    • [cs.RO]A Survey of Autonomous Driving: Common Practices and Emerging Technologies
    Ekim Yurtsever, Jacob Lambert, Alexander Carballo, Kazuya Takeda
    http://arxiv.org/abs/1906.05113v1

    • [cs.RO]Active Learning of Dynamics for Data-Driven Control Using Koopman Operators
    Ian Abraham, Todd D. Murphey
    http://arxiv.org/abs/1906.05194v1

    • [cs.RO]Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues
    Arturo Gomez Chavez, Qingwen Xu, Christian A. Mueller, Sören Schwertfeger, Andreas Birk
    http://arxiv.org/abs/1906.04888v1

    • [cs.RO]Co-modelling of Agricultural Robotic Systems
    Martin Peter Christiansen
    http://arxiv.org/abs/1906.05111v1

    • [cs.RO]DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
    Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song
    http://arxiv.org/abs/1906.03853v2

    • [cs.RO]Enhancing the Vertical Mobility of a Robot Hexapod Using Microspines
    Matt Martone, Catherine Pavlov, Adam Zeloof, Vivaan Bahl
    http://arxiv.org/abs/1906.04811v1

    • [cs.RO]Identification of Motor Parameters on Coupled Joints
    Nuno Guedelha, Silvio Traversaro, Daniele Pucci
    http://arxiv.org/abs/1906.05070v1

    • [cs.RO]Kinematics of Spherical Robots Rolling Over 3D Terrains
    Saeed Moazami, Hassan Zargarzadeh, Srinivas Palanki
    http://arxiv.org/abs/1906.05228v1

    • [cs.RO]Snake-Like Robots for Minimally Invasive, Single Port, and Intraluminal Surgeries
    Andrew L. Orekhov, Colette Abah, Nabil Simaan
    http://arxiv.org/abs/1906.04852v1

    • [cs.RO]Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach
    Ziheng Wang, Cong Feng, Jie Zhang, Ann Majewicz Fey
    http://arxiv.org/abs/1906.04934v1

    • [cs.SE]Does BLEU Score Work for Code Migration?
    Ngoc Tran, Hieu Tran, Son Nguyen, Hoan Nguyen, Tien N. Nguyen
    http://arxiv.org/abs/1906.04903v1

    • [cs.SI]A decentralized trust-aware collaborative filtering recommender system based on weighted items for social tagging systems
    Hossein Monshizadeh Naeen, Mehrdad Jalali
    http://arxiv.org/abs/1906.05143v1

    • [cs.SI]Optimizing city-scale traffic flows through modeling isolated observations of vehicle movements
    Fan Yang, Alina Vereshchaka, Bruno Lepri, Wen Dong
    http://arxiv.org/abs/1906.05093v1

    • [cs.SI]Power-law Verification for Event Detection at Multi-spatial Scales from Geo-tagged Tweet Streams
    Yi Han, Shanika Karunasekera, Christopher Leckie, Aaron Harwood
    http://arxiv.org/abs/1906.05063v1

    • [cs.SI]Understanding Vulnerability of Communities in Complex Networks
    V. Parimi, A. Pal, S. Ruj, P. Kumaraguru, T. Chakraborty
    http://arxiv.org/abs/1906.05238v1

    • [cs.SI]Weighted, Bipartite, or Directed Stream Graphs for the Modeling of Temporal Networks
    Matthieu Latapy, Clémence Magnien, Tiphaine Viard
    http://arxiv.org/abs/1906.04840v1

    • [eess.IV]Joint 3D Localization and Classification of Space Debris using a Multispectral Rotating Point Spread Function
    Chao Wang, Grey Ballard, Robert Plemmons, Sudhakar Prasad
    http://arxiv.org/abs/1906.04749v1

    • [eess.IV]`Project & Excite’ Modules for Segmentation of Volumetric Medical Scans
    Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger
    http://arxiv.org/abs/1906.04649v2

    • [eess.SP]Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications
    Sajjad Shafiei, Adriana-Simona Mihaita, Chen Cai
    http://arxiv.org/abs/1906.04739v1

    • [eess.SY]Reinforcement-Learning-based Adaptive Optimal Control for Arbitrary Reference Tracking
    Florian Köpf, Johannes Westermann, Michael Flad, Sören Hohmann
    http://arxiv.org/abs/1906.05085v1

    • [math.OC]Critical Point Finding with Newton-MR by Analogy to Computing Square Roots
    Charles G Frye
    http://arxiv.org/abs/1906.05273v1

    • [math.OC]Deep Forward-Backward SDEs for Min-max Control
    Ziyi Wang, Keuntaek Lee, Marcus A. Pereira, Ioannis Exarchos, Evangelos A. Theodorou
    http://arxiv.org/abs/1906.04771v1

    • [math.OC]Global optimization using Sobol indices
    Alexandre Janon
    http://arxiv.org/abs/1906.05189v1

    • [math.SP]Spectral Ratio for Positive Matrices
    Wendi Han, Guangyue Han
    http://arxiv.org/abs/1906.04875v1

    • [math.ST]Knowledge Gradient for Selection with Covariates: Consistency and Computation
    Xiaowei Zhang, Haihui Shen, L. Jeff Hong, Liang Ding
    http://arxiv.org/abs/1906.05098v1

    • [math.ST]Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
    Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
    http://arxiv.org/abs/1906.05082v1

    • [math.ST]Robust subgaussian estimation of a mean vector in nearly linear time
    Jules Depersin, Guillaume Lecué
    http://arxiv.org/abs/1906.03058v2

    • [math.ST]Stein’s method and the distribution of the product of zero mean correlated normal random variables
    Robert E. Gaunt
    http://arxiv.org/abs/1906.04785v1

    • [math.ST]Structure-adaptive manifold estimation
    Nikita Puchkin, Vladimir Spokoiny
    http://arxiv.org/abs/1906.05014v1

    • [physics.bio-ph]High-resolution Markov state models for the dynamics of Trp-cage miniprotein constructed over slow folding modes identified by state-free reversible VAMPnets
    Hythem Sidky, Wei Chen, Andrew L. Ferguson
    http://arxiv.org/abs/1906.04890v1

    • [q-bio.GN]Exploring Bayesian approaches to eQTL mapping through probabilistic programming
    Dimitrios V Vavoulis
    http://arxiv.org/abs/1906.05150v1

    • [q-bio.PE]Markov-modulated continuous-time Markov chains to identify site- and branch-specific evolutionary variation
    Guy Baele, Mandev S. Gill, Philippe Lemey, Marc A. Suchard
    http://arxiv.org/abs/1906.05136v1

    • [q-bio.PE]Relaxed random walks at scale
    Alexander A. Fisher, Xiang Ji, Philippe Lemey, Marc A. Suchard
    http://arxiv.org/abs/1906.04834v1

    • [q-fin.PR]Deep Smoothing of the Implied Volatility Surface
    Damien Ackerer, Natasa Tagasovska, Thibault Vatter
    http://arxiv.org/abs/1906.05065v1

    • [stat.AP]A Bayesian Hierarchical Model for Evaluating Forensic Footwear Evidence
    Neil A. Spencer, Jared S. Murray
    http://arxiv.org/abs/1906.05244v1

    • [stat.AP]Applying economic measures to lapse risk management with machine learning approaches
    Stéphane Loisel, Pierrick Piette, Jason Tsai
    http://arxiv.org/abs/1906.05087v1

    • [stat.AP]Assessing the effects of exposure to sulfuric acid aerosol on respiratory function in adults
    Lamin Juwara, Jennifer Boateng
    http://arxiv.org/abs/1906.04296v2

    • [stat.AP]Estimating the Number of Fatal Victims of the Peruvian Internal Armed Conflict, 1980-2000: an application of modern multi-list Capture-Recapture techniques
    Daniel Manrique-Vallier, Patrick Ball, David Sulmont
    http://arxiv.org/abs/1906.04763v1

    • [stat.AP]Technical Preprint: Rationale and Design of a Planned Observational Study to Evaluate the Impact of Hydrocodone Rescheduling on Opioid Prescribing After Surgery
    Mark D. Neuman, Sean Hennessy, Dylan Small, Colleen Brensinger, Craig Newcomb, Lakisha Gaskins, Duminda Wijeysundera, Brian T. Bateman, Hannah Wunsch
    http://arxiv.org/abs/1906.04246v2

    • [stat.ME]A mnotone data augmentation algorithm for longitudinal data analysis via multivariate skew-t, skew-normal or t distributions
    Yongqiang Tang
    http://arxiv.org/abs/1906.04844v1

    • [stat.ME]Distribution-Free Multisample Test Based on Optimal Matching with Applications to Single Cell Genomics
    Divyansh Agarwal, Somabha Mukherjee, Bhaswar Bikram Bhattacharya, Nancy Ruonan Zhang
    http://arxiv.org/abs/1906.04776v1

    • [stat.ME]Functional Singular Spectrum Analysis
    Hossein Haghbin, Seyed Morteza Najibi, Rahim Mahmoudvand, Mehdi Maadooliat
    http://arxiv.org/abs/1906.05232v1

    • [stat.ME]Learning High-Dimensional Gaussian Graphical Models under Total Positivity without Tuning Parameters
    Yuhao Wang, Uma Roy, Caroline Uhler
    http://arxiv.org/abs/1906.05159v1

    • [stat.ME]Model Testing for Generalized Scalar-on-Function Linear Models
    Stephanie T. Chen, Luo Xiao, Ana-Maria Staicu
    http://arxiv.org/abs/1906.04889v1

    • [stat.ME]Structure learning of Bayesian networks involving cyclic structures
    Witold Wiecek, Frederic Y. Bois, Ghislaine Gayraud
    http://arxiv.org/abs/1906.04992v1

    • [stat.ME]The EAS approach for graphical selection consistency in vector autoregression models
    Jonathan P Williams, Yuying Xie, Jan Hannig
    http://arxiv.org/abs/1906.04812v1

    • [stat.ML]ADASS: Adaptive Sample Selection for Training Acceleration
    Shen-Yi Zhao, Hao Gao, Wu-Jun Li
    http://arxiv.org/abs/1906.04819v1

    • [stat.ML]Attention-based Multi-Input Deep Learning Architecture for Biological Activity Prediction: An Application in EGFR Inhibitors
    Huy Ngoc Pham, Trung Hoang Le
    http://arxiv.org/abs/1906.05168v1

    • [stat.ML]Bootstrapping Upper Confidence Bound
    Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
    http://arxiv.org/abs/1906.05247v1

    • [stat.ML]Communication-Efficient Accurate Statistical Estimation
    Jianqing Fan, Yongyi Guo, Kaizheng Wang
    http://arxiv.org/abs/1906.04870v1

    • [stat.ML]Improving Importance Weighted Auto-Encoders with Annealed Importance Sampling
    Xinqiang Ding, David J. Freedman
    http://arxiv.org/abs/1906.04904v1

    • [stat.ML]Medium-Term Load Forecasting Using Support Vector Regression, Feature Selection, and Symbiotic Organism Search Optimization
    Arghavan Zare-Noghabi, Morteza Shabanzadeh, Hossein Sangrody
    http://arxiv.org/abs/1906.04818v1

    • [stat.ML]On the Universality of Noiseless Linear Estimation with Respect to the Measurement Matrix
    Alia Abbara, Antoine Baker, Florent Krzakala, Lenka Zdeborová
    http://arxiv.org/abs/1906.04735v1

    • [stat.ML]Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
    Amartya Sanyal, Philip H. S. Torr, Puneet K. Dokania
    http://arxiv.org/abs/1906.04659v2

    • [stat.ML]Task Agnostic Continual Learning via Meta Learning
    Xu He, Jakub Sygnowski, Alexandre Galashov, Andrei A. Rusu, Yee Whye Teh, Razvan Pascanu
    http://arxiv.org/abs/1906.05201v1

    • [stat.ML]The Impact of Regularization on High-dimensional Logistic Regression
    Fariborz Salehi, Ehsan Abbasi, Babak Hassibi
    http://arxiv.org/abs/1906.03761v2