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