astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.DC - 分布式、并行与集群计算 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 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 gr-qc - 广义相对论与量子宇宙学 math.CO - 组合数学 math.ST - 统计理论 physics.soc-ph - 物理学与社会 quant-ph - 量子物理 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]A method for Cloud Mapping in the Field of View of the Infra-Red Camera during the EUSO-SPB1 flight
    • [astro-ph.IM]CAESAR source finder: recent developments and testing
    • [cs.AI]On educating machines
    • [cs.AI]Petri Net Machines for Human-Agent Interaction
    • [cs.CG]Optimized Synthesis of Snapping Fixtures
    • [cs.CL]A Comparative Study on Transformer vs RNN in Speech Applications
    • [cs.CL]A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
    • [cs.CL]A Neural Approach to Irony Generation
    • [cs.CL]Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering
    • [cs.CL]Analyzing machine-learned representations: A natural language case study
    • [cs.CL]Finding Generalizable Evidence by Learning to Convince Q&A Models
    • [cs.CL]Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
    • [cs.CL]Neural Architectures for Fine-Grained Propaganda Detection in News
    • [cs.CL]Neural Machine Translation with 4-Bit Precision and Beyond
    • [cs.CL]Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification
    • [cs.CL]PubMedQA: A Dataset for Biomedical Research Question Answering
    • [cs.CL]Say What I Want: Towards the Dark Side of Neural Dialogue Models
    • [cs.CL]Scene Graph Parsing by Attention Graph
    • [cs.CL]Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting
    • [cs.CL]Style-aware Neural Model with Application in Authorship Attribution
    • [cs.CL]Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases
    • [cs.CL]Toward Automated Quest Generation in Text-Adventure Games
    • [cs.CL]Towards Open-Domain Named Entity Recognition via Neural Correction Models
    • [cs.CL]simple but effective techniques to reduce biases
    • [cs.CR]FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces
    • [cs.CV]A Collaborative Approach using Ridge-Valley Minutiae for More Accurate Contactless Fingerprint Identification
    • [cs.CV]BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization
    • [cs.CV]Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
    • [cs.CV]Content-Aware Unsupervised Deep Homography Estimation
    • [cs.CV]DARTS+: Improved Differentiable Architecture Search with Early Stopping
    • [cs.CV]Dual Graph Convolutional Network for Semantic Segmentation
    • [cs.CV]Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices
    • [cs.CV]FoodTracker: A Real-time Food Detection Mobile Application byDeep Convolutional Neural Networks
    • [cs.CV]Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization
    • [cs.CV]MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks
    • [cs.CV]Part-Guided Attention Learning for Vehicle Re-Identification
    • [cs.CV]Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective
    • [cs.CV]Towards Generalizable Forgery Detection with Locality-aware AutoEncoder
    • [cs.CV]Transferable Adversarial Robustness using Adversarially Trained Autoencoders
    • [cs.CV]Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding
    • [cs.CV]Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency
    • [cs.DC]Mr-moslo: vm consolidation using multiple regression multi-objective seven-spot ladybird optimization for host overload detection
    • [cs.DC]Performance Characterization and Modeling of Serverless and HPC Streaming Applications
    • [cs.DC]Tasks Unlimited: Lightweight Task Offloading Exploiting MPI Wait Times for Parallel Adaptive Mesh Refinement
    • [cs.HC]ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia
    • [cs.IR]Analysis of Regression Tree Fitting Algorithms in Learning to Rank
    • [cs.IR]Deep Joint Embeddings of Context and Content for Recommendation
    • [cs.IR]Modelling Stopping Criteria for Search Results using Poisson Processes
    • [cs.IR]Towards Sharing Task Environments to Support Reproducible Evaluations of Interactive Recommender Systems
    • [cs.IT]Age of Information Aware Cache Updating with File- and Age-Dependent Update Durations
    • [cs.IT]Codebook-Based Max-Min Energy-Efficient Resource Allocation for Uplink mmWave MIMO-NOMA Systems
    • [cs.IT]Relative Generalized Hamming weights of affine Cartesian codes
    • [cs.LG]$ρ$-VAE: Autoregressive parametrization of the VAE encoder
    • [cs.LG]A Note on Posterior Probability Estimation for Classifiers
    • [cs.LG]AITuning: Machine Learning-based Tuning Tool for Run-Time Communication Libraries
    • [cs.LG]Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits
    • [cs.LG]DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters
    • [cs.LG]Deep Adversarial Belief Networks
    • [cs.LG]Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications
    • [cs.LG]Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix
    • [cs.LG]Evaluating and Boosting Uncertainty Quantification in Classification
    • [cs.LG]Explainable Machine Learning in Deployment
    • [cs.LG]Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
    • [cs.LG]Finite Depth and Width Corrections to the Neural Tangent Kernel
    • [cs.LG]Flow Models for Arbitrary Conditional Likelihoods
    • [cs.LG]HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints
    • [cs.LG]ISL: Optimal Policy Learning With Optimal Exploration-Exploitation Trade-Off
    • [cs.LG]LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory
    • [cs.LG]Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
    • [cs.LG]Multiple Partitions Aligned Clustering
    • [cs.LG]Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
    • [cs.LG]Reinforcement Learning: a Comparison of UCB Versus Alternative Adaptive Policies
    • [cs.LG]Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
    • [cs.LG]White-Box Adversarial Defense via Self-Supervised Data Estimation
    • [cs.MA]AED: An Anytime Evolutionary DCOP Algorithm
    • [cs.NE]Optimisation of Air-Ground Swarm Teaming for Target Search, using Differential Evolution
    • [cs.PL]IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings
    • [cs.RO]A Robot Teleoperation Framework for Human Motion Transfer
    • [cs.RO]Enabling Humans to Plan Inspection Paths Using a Virtual Reality Interface
    • [cs.RO]Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control
    • [cs.RO]Human Following for Wheeled Robot with Monocular Pan-tilt Camera
    • [cs.RO]Optimization Based Motion Planning for Multi-Limbed Vertical Climbing Robots
    • [cs.RO]Unsupervised Learning and Exploration of Reachable Outcome Space
    • [cs.RO]Where is My Stuff? An Interactive System for Spatial Relations
    • [cs.SD]The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement
    • [cs.SE]Detecting Architectural Erosion using Runtime Verification
    • [cs.SI]Balance in Signed Bipartite Networks
    • [cs.SI]Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter
    • [cs.SI]HapPenIng: Happen, Predict, Infer — Event Series Completion in a Knowledge Graph
    • [eess.AS]End-to-End Neural Speaker Diarization with Permutation-Free Objectives
    • [eess.AS]End-to-End Neural Speaker Diarization with Self-attention
    • [eess.AS]Probing the Information Encoded in x-vectors
    • [eess.IV]A superpixel-driven deep learning approach for the analysis of dermatological wounds
    • [eess.IV]Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images
    • [eess.IV]Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses
    • [eess.IV]Enhancement of seismic imaging: An innovative deep learning approach
    • [eess.IV]Perceptual Image Anomaly Detection
    • [eess.IV]SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation
    • [gr-qc]Learning Bayes’ theorem with a neural network for gravitational-wave inference
    • [math.CO]Subspace Packings — Constructions and Bounds
    • [math.ST]Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching
    • [math.ST]Compound Sequential Change Point Detection in Multiple Data Streams
    • [math.ST]Estimating Differential Latent Variable Graphical Models with Applications to Brain Connectivity
    • [math.ST]The Global Markov Property for a Mixture of DAGs
    • [physics.soc-ph]DyANE: Dynamics-aware node embedding for temporal networks
    • [physics.soc-ph]Social Success of Perfumes
    • [quant-ph]Geometric Rényi Divergence and its Applications in Quantum Channel Capacities
    • [stat.CO]Monte Carlo Approximation of Bayes Factors via Mixing with Surrogate Distributions
    • [stat.CO]d-blink: Distributed End-to-End Bayesian Entity Resolution
    • [stat.ME]A Double Penalty Model for Interpretability
    • [stat.ME]Estimating Fisher Information Matrix in Latent Variable Models based on the Score Function
    • [stat.ME]Generalized Records for Functional Time Series with Application to Unit Root Tests
    • [stat.ME]MACE: Multiscale Abrupt Change Estimation Under Complex Temporal Dynamics
    • [stat.ML]A Knowledge Transfer Framework for Differentially Private Sparse Learning
    • [stat.ML]Active learning for level set estimation under cost-dependent input uncertainty
    • [stat.ML]Shallow Self-Learning for Reject Inference in Credit Scoring
    • [stat.ML]Shapley Interpretation and Activation in Neural Networks

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    • [astro-ph.IM]A method for Cloud Mapping in the Field of View of the Infra-Red Camera during the EUSO-SPB1 flight
    Alessandro Bruno, Anna Anzalone, Carlo Vigorito
    http://arxiv.org/abs/1909.05917v1

    • [astro-ph.IM]CAESAR source finder: recent developments and testing
    S. Riggi, F. Vitello, U. Becciani, C. Buemi, F. Bufano, A. Calanducci, F. Cavallaro, A. Costa, A. Ingallinera, P. Leto, S. Loru, R. P. Norris, F. Schillirò, E. Sciacca, C. Trigilio, G. Umana
    http://arxiv.org/abs/1909.06116v1

    • [cs.AI]On educating machines
    George Leu, Jiangjun Tang
    http://arxiv.org/abs/1909.06017v1

    • [cs.AI]Petri Net Machines for Human-Agent Interaction
    Christian Dondrup, Ioannis Papaioannou, Oliver Lemon
    http://arxiv.org/abs/1909.06174v1

    • [cs.CG]Optimized Synthesis of Snapping Fixtures
    Tom Tsabar, Efi Fogel, Dan Halperin
    http://arxiv.org/abs/1909.05953v1

    • [cs.CL]A Comparative Study on Transformer vs RNN in Speech Applications
    Shigeki Karita, Nanxin Chen, Tomoki Hayashi, Takaaki Hori, Hirofumi Inaguma, Ziyan Jiang, Masao Someki, Nelson Enrique Yalta Soplin, Ryuichi Yamamoto, Xiaofei Wang, Shinji Watanabe, Takenori Yoshimura, Wangyou Zhang
    http://arxiv.org/abs/1909.06317v1

    • [cs.CL]A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
    Anne Lauscher, Goran Glavaš, Simone Paolo Ponzetto, Ivan Vulić
    http://arxiv.org/abs/1909.06092v1

    • [cs.CL]A Neural Approach to Irony Generation
    Mengdi Zhu, Zhiwei Yu, Xiaojun Wan
    http://arxiv.org/abs/1909.06200v1

    • [cs.CL]Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering
    Shiyue Zhang, Mohit Bansal
    http://arxiv.org/abs/1909.06356v1

    • [cs.CL]Analyzing machine-learned representations: A natural language case study
    Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman
    http://arxiv.org/abs/1909.05885v1

    • [cs.CL]Finding Generalizable Evidence by Learning to Convince Q&A Models
    Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho
    http://arxiv.org/abs/1909.05863v1

    • [cs.CL]Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
    Xiang Deng, Huan Sun
    http://arxiv.org/abs/1909.06007v1

    • [cs.CL]Neural Architectures for Fine-Grained Propaganda Detection in News
    Pankaj Gupta, Khushbu Saxena, Usama Yaseen, Thomas Runkler, Hinrich Schütze
    http://arxiv.org/abs/1909.06162v1

    • [cs.CL]Neural Machine Translation with 4-Bit Precision and Beyond
    Alham Fikri Aji, Kenneth Heafield
    http://arxiv.org/abs/1909.06091v1

    • [cs.CL]Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification
    Binxuan Huang, Kathleen M. Carley
    http://arxiv.org/abs/1909.06276v1

    • [cs.CL]PubMedQA: A Dataset for Biomedical Research Question Answering
    Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu
    http://arxiv.org/abs/1909.06146v1

    • [cs.CL]Say What I Want: Towards the Dark Side of Neural Dialogue Models
    Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang
    http://arxiv.org/abs/1909.06044v1

    • [cs.CL]Scene Graph Parsing by Attention Graph
    Martin Andrews, Yew Ken Chia, Sam Witteveen
    http://arxiv.org/abs/1909.06273v1

    • [cs.CL]Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting
    Yi Zhang, Tao Ge, Furu Wei, Ming Zhou, Xu Sun
    http://arxiv.org/abs/1909.06002v1

    • [cs.CL]Style-aware Neural Model with Application in Authorship Attribution
    Fereshteh Jafariakinabad, Kien A. Hua
    http://arxiv.org/abs/1909.06194v1

    • [cs.CL]Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases
    Akshay Parekh, Ashish Anand, Amit Awekar
    http://arxiv.org/abs/1909.06249v1

    • [cs.CL]Toward Automated Quest Generation in Text-Adventure Games
    Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl
    http://arxiv.org/abs/1909.06283v1

    • [cs.CL]Towards Open-Domain Named Entity Recognition via Neural Correction Models
    Mengdi Zhu, Zheye Deng, Wenhan Xiong, Mo Yu, Ming Zhang, William Yang Wang
    http://arxiv.org/abs/1909.06058v1

    • [cs.CL]simple but effective techniques to reduce biases
    Rabeeh Karimi Mahabadi, James Henderson
    http://arxiv.org/abs/1909.06321v1

    • [cs.CR]FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces
    Run Wang, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Jian Wang, Yang Liu
    http://arxiv.org/abs/1909.06122v1

    • [cs.CV]A Collaborative Approach using Ridge-Valley Minutiae for More Accurate Contactless Fingerprint Identification
    Ritesh Vyas, Ajay Kumar
    http://arxiv.org/abs/1909.06045v1

    • [cs.CV]BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization
    Bo Chen, Tat-Jun Chin, Nan Li
    http://arxiv.org/abs/1909.06043v1

    • [cs.CV]Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
    Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo
    http://arxiv.org/abs/1909.06161v1

    • [cs.CV]Content-Aware Unsupervised Deep Homography Estimation
    Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Jue Wang, Ji Zhou
    http://arxiv.org/abs/1909.05983v1

    • [cs.CV]DARTS+: Improved Differentiable Architecture Search with Early Stopping
    Hanwen Liang, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li
    http://arxiv.org/abs/1909.06035v1

    • [cs.CV]Dual Graph Convolutional Network for Semantic Segmentation
    Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr
    http://arxiv.org/abs/1909.06121v1

    • [cs.CV]Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices
    Prajwal Chidananda, Ayan Sinha, Adithya Rao, Douglas Lee, Andrew Rabinovich
    http://arxiv.org/abs/1909.05897v1

    • [cs.CV]FoodTracker: A Real-time Food Detection Mobile Application byDeep Convolutional Neural Networks
    Jianing Sun, Katarzyna Radecka, Zeljko Zilic
    http://arxiv.org/abs/1909.05994v1

    • [cs.CV]Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization
    Xiaotian Li, Jakob Verbeek, Juho Kannala
    http://arxiv.org/abs/1909.06216v1

    • [cs.CV]MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks
    Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou, Guang Yang, Nigel Allinson, Xujiong Ye
    http://arxiv.org/abs/1909.06337v1

    • [cs.CV]Part-Guided Attention Learning for Vehicle Re-Identification
    Xinyu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, Chunhua Shen
    http://arxiv.org/abs/1909.06023v1

    • [cs.CV]Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective
    Kai Li, Martin Renqiang Min, Yun Fu
    http://arxiv.org/abs/1909.05995v1

    • [cs.CV]Towards Generalizable Forgery Detection with Locality-aware AutoEncoder
    Mengnan Du, Shiva Pentyala, Yuening Li, Xia Hu
    http://arxiv.org/abs/1909.05999v1

    • [cs.CV]Transferable Adversarial Robustness using Adversarially Trained Autoencoders
    Pratik Vaishnavi, Kevin Eykholt, Atul Prakash, Amir Rahmati
    http://arxiv.org/abs/1909.05921v1

    • [cs.CV]Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding
    Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Chenqiang Gao, Deyu Meng
    http://arxiv.org/abs/1909.06148v1

    • [cs.CV]Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency
    Guillaume Rochette, Chris Russell, Richard Bowden
    http://arxiv.org/abs/1909.06119v1

    • [cs.DC]Mr-moslo: vm consolidation using multiple regression multi-objective seven-spot ladybird optimization for host overload detection
    Akram Saeed Aqlan Alhammadi, Dr. V. Vasanthi
    http://arxiv.org/abs/1909.06129v1

    • [cs.DC]Performance Characterization and Modeling of Serverless and HPC Streaming Applications
    Andre Luckow, Shantenu Jha
    http://arxiv.org/abs/1909.06055v1

    • [cs.DC]Tasks Unlimited: Lightweight Task Offloading Exploiting MPI Wait Times for Parallel Adaptive Mesh Refinement
    Philipp Samfass, Tobias Weinzierl, Dominic E. Charrier, Michael Bader
    http://arxiv.org/abs/1909.06096v1

    • [cs.HC]ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia
    Aaron Halfaker, R. Stuart Geiger
    http://arxiv.org/abs/1909.05189v2

    • [cs.IR]Analysis of Regression Tree Fitting Algorithms in Learning to Rank
    Tian Xia, Shaodan Zhai, Shaojun Wang
    http://arxiv.org/abs/1909.05965v1

    • [cs.IR]Deep Joint Embeddings of Context and Content for Recommendation
    Miklas S. Kristoffersen, Jacob L. Wieland, Sven E. Shepstone, Zheng-Hua Tan, Vinoba Vinayagamoorthy
    http://arxiv.org/abs/1909.06076v1

    • [cs.IR]Modelling Stopping Criteria for Search Results using Poisson Processes
    Alison Sneyd, Mark Stevenson
    http://arxiv.org/abs/1909.06239v1

    • [cs.IR]Towards Sharing Task Environments to Support Reproducible Evaluations of Interactive Recommender Systems
    Andrea Barraza-Urbina, Mathieu d’Aquin
    http://arxiv.org/abs/1909.06133v1

    • [cs.IT]Age of Information Aware Cache Updating with File- and Age-Dependent Update Durations
    Haoyue Tang, Philippe Ciblat, Jintao Wang, Michele Wigger, Roy Yates
    http://arxiv.org/abs/1909.05930v1

    • [cs.IT]Codebook-Based Max-Min Energy-Efficient Resource Allocation for Uplink mmWave MIMO-NOMA Systems
    Wanming Hao, Ming Zeng, Gangcan Sun, Osamu Muta, Octavia A. Dobre, Shouyi Yang, Haris Gacanin
    http://arxiv.org/abs/1909.06218v1

    • [cs.IT]Relative Generalized Hamming weights of affine Cartesian codes
    Mrinmoy Datta
    http://arxiv.org/abs/1909.06138v1

    • [cs.LG]$ρ$-VAE: Autoregressive parametrization of the VAE encoder
    Sohrab Ferdowsi, Maurits Diephuis, Shideh Rezaeifar, Slava Voloshynovskiy
    http://arxiv.org/abs/1909.06236v1

    • [cs.LG]A Note on Posterior Probability Estimation for Classifiers
    Georgi Nalbantov, Svetoslav Ivanov
    http://arxiv.org/abs/1909.05894v1

    • [cs.LG]AITuning: Machine Learning-based Tuning Tool for Run-Time Communication Libraries
    Alessandro Fanfarillo, Davide Del Vento
    http://arxiv.org/abs/1909.06301v1

    • [cs.LG]Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits
    Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao
    http://arxiv.org/abs/1909.05886v1

    • [cs.LG]DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters
    Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin
    http://arxiv.org/abs/1909.06040v1

    • [cs.LG]Deep Adversarial Belief Networks
    Yuming Huang, Ashkan Panahi, Hamid Krim, Yiyi Yu, Spencer L. Smith
    http://arxiv.org/abs/1909.06134v1

    • [cs.LG]Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications
    Tamir Blum, William Jones, Kazuya Yoshida
    http://arxiv.org/abs/1909.06034v1

    • [cs.LG]Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix
    Chaomin Shen, Yaxin Peng, Guixu Zhang, Jinsong Fan
    http://arxiv.org/abs/1909.06137v1

    • [cs.LG]Evaluating and Boosting Uncertainty Quantification in Classification
    Xiaoyang Huang, Jiancheng Yang, Linguo Li, Bingbing Ni, Yi Xu
    http://arxiv.org/abs/1909.06030v1

    • [cs.LG]Explainable Machine Learning in Deployment
    Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
    http://arxiv.org/abs/1909.06342v1

    • [cs.LG]Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
    Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu
    http://arxiv.org/abs/1909.06297v1

    • [cs.LG]Finite Depth and Width Corrections to the Neural Tangent Kernel
    Boris Hanin, Mihai Nica
    http://arxiv.org/abs/1909.05989v1

    • [cs.LG]Flow Models for Arbitrary Conditional Likelihoods
    Yang Li, Shoaib Akbar, Junier B. Oliva
    http://arxiv.org/abs/1909.06319v1

    • [cs.LG]HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints
    Michael Lutter, Boris Belousov, Kim Listmann, Debora Clever, Jan Peters
    http://arxiv.org/abs/1909.06153v1

    • [cs.LG]ISL: Optimal Policy Learning With Optimal Exploration-Exploitation Trade-Off
    Lucas Cassano, Ali H. Sayed
    http://arxiv.org/abs/1909.06293v1

    • [cs.LG]LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory
    Neema Davis, Gaurav Raina, Krishna Jagannathan
    http://arxiv.org/abs/1909.06041v1

    • [cs.LG]Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
    Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
    http://arxiv.org/abs/1909.06335v1

    • [cs.LG]Multiple Partitions Aligned Clustering
    Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu
    http://arxiv.org/abs/1909.06008v1

    • [cs.LG]Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
    Sergei Popov, Stanislav Morozov, Artem Babenko
    http://arxiv.org/abs/1909.06312v1

    • [cs.LG]Reinforcement Learning: a Comparison of UCB Versus Alternative Adaptive Policies
    Wesley Cowan, Michael N. Katehakis, Daniel Pirutinsky
    http://arxiv.org/abs/1909.06019v1

    • [cs.LG]Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
    Vincent S. Chen, Sen Wu, Zhenzhen Weng, Alexander Ratner, Christopher Ré
    http://arxiv.org/abs/1909.06349v1

    • [cs.LG]White-Box Adversarial Defense via Self-Supervised Data Estimation
    Zudi Lin, Hanspeter Pfister, Ziming Zhang
    http://arxiv.org/abs/1909.06271v1

    • [cs.MA]AED: An Anytime Evolutionary DCOP Algorithm
    Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings
    http://arxiv.org/abs/1909.06254v1

    • [cs.NE]Optimisation of Air-Ground Swarm Teaming for Target Search, using Differential Evolution
    Jiangjun Tang, George Leu, Yu-Bin Yang
    http://arxiv.org/abs/1909.06037v1

    • [cs.PL]IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings
    Venkata Keerthy S, Rohit Aggarwal, Shalini Jain, Maunendra Sankar Desarkar, Ramakrishna Upadrasta, Y. N. Srikant
    http://arxiv.org/abs/1909.06228v1

    • [cs.RO]A Robot Teleoperation Framework for Human Motion Transfer
    Miguel Arduengo, Ana Arduengo, Adrià Colomé, Joan Lobo-Prat, Carme Torras
    http://arxiv.org/abs/1909.06278v1

    • [cs.RO]Enabling Humans to Plan Inspection Paths Using a Virtual Reality Interface
    Boris Bogaerts, Seppe Sels, Steve Vanlanduit, Rudi Penne
    http://arxiv.org/abs/1909.06077v1

    • [cs.RO]Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control
    Sylvain Calinon, Noémie Jaquier
    http://arxiv.org/abs/1909.05946v1

    • [cs.RO]Human Following for Wheeled Robot with Monocular Pan-tilt Camera
    Zheng Zhu, Hongxuan Ma, Wei Zou
    http://arxiv.org/abs/1909.06087v1

    • [cs.RO]Optimization Based Motion Planning for Multi-Limbed Vertical Climbing Robots
    Xuan Lin, Jingwen Zhang, Junjie Shen, Gabriel Fernandez, Dennis W Hong
    http://arxiv.org/abs/1909.06339v1

    • [cs.RO]Unsupervised Learning and Exploration of Reachable Outcome Space
    Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stephane Doncieux
    http://arxiv.org/abs/1909.05508v2

    • [cs.RO]Where is My Stuff? An Interactive System for Spatial Relations
    E. Akin Sisbot, Jonathan H. Connell
    http://arxiv.org/abs/1909.06331v1

    • [cs.SD]The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement
    Juan Sebastián Gómez Cañón, Perfecto Herrera, Emilia Gómez, Estefanía Cano
    http://arxiv.org/abs/1909.05882v1

    • [cs.SE]Detecting Architectural Erosion using Runtime Verification
    Diego Marmsoler, Ana Petrovska
    http://arxiv.org/abs/1909.05973v1

    • [cs.SI]Balance in Signed Bipartite Networks
    Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
    http://arxiv.org/abs/1909.06073v1

    • [cs.SI]Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter
    Chi Zhang, Bryan Wilkinson, Ashwinkumar Ganesan, Tim Oates
    http://arxiv.org/abs/1909.05890v1

    • [cs.SI]HapPenIng: Happen, Predict, Infer — Event Series Completion in a Knowledge Graph
    Simon Gottschalk, Elena Demidova
    http://arxiv.org/abs/1909.06219v1

    • [eess.AS]End-to-End Neural Speaker Diarization with Permutation-Free Objectives
    Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi, Kenji Nagamatsu, Shinji Watanabe
    http://arxiv.org/abs/1909.05952v1

    • [eess.AS]End-to-End Neural Speaker Diarization with Self-attention
    Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi, Yawen Xue, Kenji Nagamatsu, Shinji Watanabe
    http://arxiv.org/abs/1909.06247v1

    • [eess.AS]Probing the Information Encoded in x-vectors
    Desh Raj, David Snyder, Daniel Povey, Sanjeev Khudanpur
    http://arxiv.org/abs/1909.06351v1

    • [eess.IV]A superpixel-driven deep learning approach for the analysis of dermatological wounds
    Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana E. S. Jorge, Daniel de Oliveira, Marcos V. N. Bedo
    http://arxiv.org/abs/1909.06264v1

    • [eess.IV]Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images
    David Joon Ho, Shuo Han, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp
    http://arxiv.org/abs/1909.05992v1

    • [eess.IV]Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses
    Rodney LaLonde, Drew Torigian, Ulas Bagci
    http://arxiv.org/abs/1909.05926v1

    • [eess.IV]Enhancement of seismic imaging: An innovative deep learning approach
    Yanyan Zhang, Ping Lu, Hua Yu, Stan Morris
    http://arxiv.org/abs/1909.06016v1

    • [eess.IV]Perceptual Image Anomaly Detection
    Nina Tuluptceva, Bart Bakker, Irina Fedulova, Anton Konushin
    http://arxiv.org/abs/1909.05904v1

    • [eess.IV]SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation
    Ken C. L. Wong, Mehdi Moradi
    http://arxiv.org/abs/1909.05962v1

    • [gr-qc]Learning Bayes’ theorem with a neural network for gravitational-wave inference
    Alvin J. K. Chua, Michele Vallisneri
    http://arxiv.org/abs/1909.05966v1

    • [math.CO]Subspace Packings — Constructions and Bounds
    Tuvi Etzion, Sascha Kurz, Kamil Otal, Ferruh Özbudak
    http://arxiv.org/abs/1909.06081v1

    • [math.ST]Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching
    Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney
    http://arxiv.org/abs/1909.06120v1

    • [math.ST]Compound Sequential Change Point Detection in Multiple Data Streams
    Yunxiao Chen, Xiaoou Li
    http://arxiv.org/abs/1909.05903v1

    • [math.ST]Estimating Differential Latent Variable Graphical Models with Applications to Brain Connectivity
    Sen Na, Mladen Kolar, Oluwasanmi Koyejo
    http://arxiv.org/abs/1909.05892v1

    • [math.ST]The Global Markov Property for a Mixture of DAGs
    Eric V. Strobl
    http://arxiv.org/abs/1909.05418v2

    • [physics.soc-ph]DyANE: Dynamics-aware node embedding for temporal networks
    Koya Sato, Mizuki Oka, Alain Barrat, Ciro Cattuto
    http://arxiv.org/abs/1909.05976v1

    • [physics.soc-ph]Social Success of Perfumes
    Vaiva Vasiliauskaite, Tim S. Evans
    http://arxiv.org/abs/1909.05726v1

    • [quant-ph]Geometric Rényi Divergence and its Applications in Quantum Channel Capacities
    Kun Fang, Hamza Fawzi
    http://arxiv.org/abs/1909.05758v1

    • [stat.CO]Monte Carlo Approximation of Bayes Factors via Mixing with Surrogate Distributions
    Chenguang Dai, Jun S. Liu
    http://arxiv.org/abs/1909.05922v1

    • [stat.CO]d-blink: Distributed End-to-End Bayesian Entity Resolution
    Neil G. Marchant, Rebecca C. Steorts, Andee Kaplan, Benjamin I. P. Rubinstein, Daniel N. Elazar
    http://arxiv.org/abs/1909.06039v1

    • [stat.ME]A Double Penalty Model for Interpretability
    Wenjia Wang, Yi-Hui Zhou
    http://arxiv.org/abs/1909.06263v1

    • [stat.ME]Estimating Fisher Information Matrix in Latent Variable Models based on the Score Function
    Maud Delattre, Estelle Kuhn
    http://arxiv.org/abs/1909.06094v1

    • [stat.ME]Generalized Records for Functional Time Series with Application to Unit Root Tests
    Israel Martínez-Hernández, Marc G. Genton
    http://arxiv.org/abs/1909.06083v1

    • [stat.ME]MACE: Multiscale Abrupt Change Estimation Under Complex Temporal Dynamics
    Weichi Wu, Zhou Zhou
    http://arxiv.org/abs/1909.06307v1

    • [stat.ML]A Knowledge Transfer Framework for Differentially Private Sparse Learning
    Lingxiao Wang, Quanquan Gu
    http://arxiv.org/abs/1909.06322v1

    • [stat.ML]Active learning for level set estimation under cost-dependent input uncertainty
    Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi
    http://arxiv.org/abs/1909.06064v1

    • [stat.ML]Shallow Self-Learning for Reject Inference in Credit Scoring
    Nikita Kozodoi, Panagiotis Katsas, Stefan Lessmann, Luis Moreira-Matias, Konstantinos Papakonstantinou
    http://arxiv.org/abs/1909.06108v1

    • [stat.ML]Shapley Interpretation and Activation in Neural Networks
    Yadong Li, Xin Cui
    http://arxiv.org/abs/1909.06143v1