cs.AI - 人工智能
cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 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 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning
• [cs.AI]Dynamic Search — Optimizing the Game of Information Seeking
• [cs.AI]Playing Atari Ball Games with Hierarchical Reinforcement Learning
• [cs.AI]Verification of data-aware workflows via reachability: formalisation and experiments
• [cs.AR]A Survey of Machine Learning Applied to Computer Architecture Design
• [cs.CL]Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture
• [cs.CL]End-to-End Code-Switching ASR for Low-Resourced Language Pairs
• [cs.CL]Improving Pre-Trained Multilingual Models with Vocabulary Expansion
• [cs.CL]Improving RNN Transducer Modeling for End-to-End Speech Recognition
• [cs.CL]Improving Semantic Parsing with Neural Generator-Reranker Architecture
• [cs.CL]Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
• [cs.CL]Monotonic Multihead Attention
• [cs.CL]Multi-Modal Citizen Science: From Disambiguation to Transcription of Classical Literature
• [cs.CL]On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages
• [cs.CL]On the use of BERT for Neural Machine Translation
• [cs.CL]Optimizing Speech Recognition For The Edge
• [cs.CR]SoK: Blockchain Technology and Its Potential Use Cases
• [cs.CV]A Hierarchical Approach for Visual Storytelling Using Image Description
• [cs.CV]ASSD: Attentive Single Shot Multibox Detector
• [cs.CV]Active Learning for Event Detection in Support of Disaster Analysis Applications
• [cs.CV]Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning
• [cs.CV]Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images
• [cs.CV]DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation
• [cs.CV]Fast shared response model for fMRI data
• [cs.CV]Interpreting Undesirable Pixels for Image Classification on Black-Box Models
• [cs.CV]Learnable Tree Filter for Structure-preserving Feature Transform
• [cs.CV]Learning to Have an Ear for Face Super-Resolution
• [cs.CV]Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
• [cs.CV]MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery
• [cs.CV]Markov Decision Process for Video Generation
• [cs.CV]Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains
• [cs.CV]Point Attention Network for Semantic Segmentation of 3D Point Clouds
• [cs.CV]Pruning from Scratch
• [cs.CV]RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis
• [cs.CV]Region-wise Generative Adversarial ImageInpainting for Large Missing Areas
• [cs.CV]Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation
• [cs.CV]Towards Real-Time Multi-Object Tracking
• [cs.CY]Service-Dominant Business Model Financial Validation: Cost-Benefit Analysis with Business Processes and Service- Dominant Business Models
• [cs.DC]COUNTDOWN Slack: a Run-time Library to Reduce Energy Footprint in Large-scale MPI Applications
• [cs.DC]Telescope: an interactive tool for managing large scale analysis from mobile devices
• [cs.DS]Total Least Squares Regression in Input Sparsity Time
• [cs.IR]DBRec: Dual-Bridging Recommendation via Discovering Latent Groups
• [cs.IT]Deep Learning-based Polar Code Design
• [cs.IT]Device-to-Device Private Caching with Trusted Server
• [cs.IT]Fixed-Length Strong Coordination
• [cs.IT]Optimal Precoding for Multiuser MIMO Systems With Phase Quantization and PSK Modulation via Branch-and-Bound
• [cs.IT]Private and Rateless Adaptive Coded Matrix-Vector Multiplication
• [cs.LG]”Best-of-Many-Samples” Distribution Matching
• [cs.LG]A Constructive Prediction of the Generalization Error Across Scales
• [cs.LG]A Matrix Factorization Model for Hellinger-based Trust Management in Social IoT
• [cs.LG]A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification
• [cs.LG]Active Federated Learning
• [cs.LG]Alleviating Privacy Attacks via Causal Learning
• [cs.LG]CAQL: Continuous Action Q-Learning
• [cs.LG]Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning
• [cs.LG]Fast Fixed Dimension L2-Subspace Embeddings of Arbitrary Accuracy, With Application to L1 and L2 Tasks
• [cs.LG]Federated User Representation Learning
• [cs.LG]Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
• [cs.LG]Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
• [cs.LG]Hamiltonian Graph Networks with ODE Integrators
• [cs.LG]Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
• [cs.LG]Identifying through Flows for Recovering Latent Representations
• [cs.LG]Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks
• [cs.LG]Improved histogram-based anomaly detector with the extended principal component features
• [cs.LG]Improving Federated Learning Personalization via Model Agnostic Meta Learning
• [cs.LG]Learning in Confusion: Batch Active Learning with Noisy Oracle
• [cs.LG]Learning to compute inner consensus — A noble approach to modeling agreement between Capsules
• [cs.LG]MDP-based Shallow Parsing in Distantly Supervised QA Systems
• [cs.LG]MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis
• [cs.LG]Margin-Based Generalization Lower Bounds for Boosted Classifiers
• [cs.LG]Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest
• [cs.LG]Model Pruning Enables Efficient Federated Learning on Edge Devices
• [cs.LG]Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
• [cs.LG]On a convergence property of a geometrical algorithm for statistical manifolds
• [cs.LG]On the Anomalous Generalization of GANs
• [cs.LG]Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds
• [cs.LG]Reweighted Proximal Pruning for Large-Scale Language Representation
• [cs.LG]Stock Market Forecasting Based on Text Mining Technology: A Support Vector Machine Method
• [cs.LG]The Differentiable Cross-Entropy Method
• [cs.LO]Possible/Certain Functional Dependencies
• [cs.MA]A Generalized Training Approach for Multiagent Learning
• [cs.MM]Query by Semantic Sketch
• [cs.NI]$λ$-NIC: Interactive Serverless Compute on Programmable SmartNICs
• [cs.RO]A 6-DOF haptic manipulation system to verify assembly procedures on CAD models
• [cs.RO]A Momentum-Based Foot Placement Strategy for Stable Postural Control of Robotic Spring-Mass Running with Point Feet
• [cs.RO]A Novel Adaptive Controller for Robot Manipulators based on Active Inference
• [cs.RO]Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning
• [cs.RO]Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving
• [cs.RO]Deep Gated Multi-modal Learning: In-hand Object Pose Estimation with Tactile and Image
• [cs.RO]Exploring Pose Priors for Human Pose Estimation with Joint Angle Representations
• [cs.RO]Invisible Marker: Automatic Annotation for Object Manipulation
• [cs.RO]Leveraging Multimodal Haptic Sensory Data for Robust Cutting
• [cs.RO]Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes
• [cs.RO]Mapping with Reflection — Detection and Utilization of Reflection in 3D Lidar Scans
• [cs.RO]Risk-Averse Planning Under Uncertainty
• [cs.RO]TORM: Collision-Free Trajectory Optimization of Redundant Manipulator given an End-Effector Path
• [cs.RO]Visual Servoing-based Navigation for Monitoring Row-Crop Fields
• [cs.SD]Urban Sound Tagging using Convolutional Neural Networks
• [cs.SI]HateMonitors: Language Agnostic Abuse Detection in Social Media
• [eess.IV]GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention
• [eess.SP]A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms
• [eess.SP]Cell-Free Massive MIMO for Wireless Federated Learning
• [eess.SP]Joint Optimization of Execution Latency and Energy Consumption for Mobile Edge Computing with Data Compression and Task Allocation
• [math.ST]Adaptive posterior contraction rates for empirical Bayesian drift estimation of a diffusion
• [math.ST]Moment based estimation for the multivariate COGARCH(1,1) process
• [physics.comp-ph]Efficient computation of the density matrix with error control on distributed computer systems
• [physics.soc-ph]A novel metric for community detection
• [physics.soc-ph]Crash dynamics of interdependent networks
• [physics.soc-ph]Nonlinear Dynamic Models of Conflict via Multiplexed Interaction Networks
• [q-bio.GN]Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington’s disease
• [stat.AP]Bootstrap Cross-validation Improves Model Selection in Pharmacometrics
• [stat.AP]Statistical downscaling with spatial misalignment: Application to wildland fire PM$_{2.5}$ concentration forecasting
• [stat.CO]Robust Factor Analysis Parameter Estimation
• [stat.ME]An agglomerative hierarchical clustering method by optimizing the average silhouette width
• [stat.ME]Assessing Data Support for the Simplifying Assumption in Bivariate Conditional Copulas
• [stat.ME]Bayesian decision-theoretic design of experiments under an alternative model
• [stat.ME]CS Sparse K-means: An Algorithm for Cluster-Specific Feature Selection in High-Dimensional Clustering
• [stat.ME]Model-based Statistical Depth with Applications to Functional Data
• [stat.ME]SIMEX Estimation in Parametric Modal Regression with Measurement Error
• [stat.ME]Testing multivariate normality by zeros of the harmonic oscillator in characteristic function spaces
• [stat.ML]Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
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• [cs.AI]Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning
Ran Tian, Nan Li, Ilya Kolmanovsky, Anouck Girard
http://arxiv.org/abs/1909.12701v1
• [cs.AI]Dynamic Search — Optimizing the Game of Information Seeking
Zhiwen Tang, Grace Hui Yang
http://arxiv.org/abs/1909.12425v1
• [cs.AI]Playing Atari Ball Games with Hierarchical Reinforcement Learning
Hua Huang, Adrian Barbu
http://arxiv.org/abs/1909.12465v1
• [cs.AI]Verification of data-aware workflows via reachability: formalisation and experiments
Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Sergio Tessaris
http://arxiv.org/abs/1909.12738v1
• [cs.AR]A Survey of Machine Learning Applied to Computer Architecture Design
Drew D. Penney, Lizhong Chen
http://arxiv.org/abs/1909.12373v1
• [cs.CL]Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture
Ashok Thillaisundaram, Theodosia Togia
http://arxiv.org/abs/1909.12411v1
• [cs.CL]End-to-End Code-Switching ASR for Low-Resourced Language Pairs
Xianghu Yue, Grandee Lee, Emre Yılmaz, Fang Deng, Haizhou Li
http://arxiv.org/abs/1909.12681v1
• [cs.CL]Improving Pre-Trained Multilingual Models with Vocabulary Expansion
Hai Wang, Dian Yu, Kai Sun, Janshu Chen, Dong Yu
http://arxiv.org/abs/1909.12440v1
• [cs.CL]Improving RNN Transducer Modeling for End-to-End Speech Recognition
Jinyu Li, Rui Zhao, Hu Hu, Yifan Gong
http://arxiv.org/abs/1909.12415v1
• [cs.CL]Improving Semantic Parsing with Neural Generator-Reranker Architecture
Huseyin A. Inan, Gaurav Singh Tomar, Huapu Pan
http://arxiv.org/abs/1909.12764v1
• [cs.CL]Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Divyansh Kaushik, Eduard Hovy, Zachary C. Lipton
http://arxiv.org/abs/1909.12434v1
• [cs.CL]Monotonic Multihead Attention
Xutai Ma, Juan Pino, James Cross, Liezl Puzon, Jiatao Gu
http://arxiv.org/abs/1909.12406v1
• [cs.CL]Multi-Modal Citizen Science: From Disambiguation to Transcription of Classical Literature
Maryam Foradi, Jan Kaßel, Johannes Pein, Gregory R. Crane
http://arxiv.org/abs/1909.12622v1
• [cs.CL]On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages
Yi Zhu, Benjamin Heinzerling, Ivan Vulić, Michael Strube, Roi Reichart, Anna Korhonen
http://arxiv.org/abs/1909.12375v1
• [cs.CL]On the use of BERT for Neural Machine Translation
Stéphane Clinchant, Kweon Woo Jung, Vassilina Nikoulina
http://arxiv.org/abs/1909.12744v1
• [cs.CL]Optimizing Speech Recognition For The Edge
Yuan Shangguan, Jian Li, Liang Qiao, Raziel Alvarez, Ian McGraw
http://arxiv.org/abs/1909.12408v1
• [cs.CR]SoK: Blockchain Technology and Its Potential Use Cases
Scott Ruoti, Ben Kaiser, Arkady Yerukhimovich, Jeremy Clark, Robert Cunningham
http://arxiv.org/abs/1909.12454v1
• [cs.CV]A Hierarchical Approach for Visual Storytelling Using Image Description
Md Sultan Al Nahian, Tasmia Tasrin, Sagar Gandhi, Ryan Gaines, Brent Harrison
http://arxiv.org/abs/1909.12401v1
• [cs.CV]ASSD: Attentive Single Shot Multibox Detector
Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas
http://arxiv.org/abs/1909.12456v1
• [cs.CV]Active Learning for Event Detection in Support of Disaster Analysis Applications
Naina Said, Kashif Ahmad, Nicola Conci, Ala Al-Fuqaha
http://arxiv.org/abs/1909.12601v1
• [cs.CV]Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning
Mingjie Sun, Jimin Xiao, Eng Gee Lim, Yanchu Xie, Jiashi Feng
http://arxiv.org/abs/1909.12482v1
• [cs.CV]Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images
Shohei Hayashi, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda
http://arxiv.org/abs/1909.12612v1
• [cs.CV]DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation
Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun
http://arxiv.org/abs/1909.12471v1
• [cs.CV]Fast shared response model for fMRI data
Hugo Richard, Lucas Martin, Ana Luısa Pinho, Jonathan Pillow, Bertrand Thirion
http://arxiv.org/abs/1909.12537v1
• [cs.CV]Interpreting Undesirable Pixels for Image Classification on Black-Box Models
Sin-Han Kang, Hong-Gyu Jung, Seong-Whan Lee
http://arxiv.org/abs/1909.12446v1
• [cs.CV]Learnable Tree Filter for Structure-preserving Feature Transform
Lin Song, Yanwei Li, Zeming Li, Gang Yu, Hongbin Sun, Jian Sun, Nanning Zheng
http://arxiv.org/abs/1909.12513v1
• [cs.CV]Learning to Have an Ear for Face Super-Resolution
Givi Meishvili, Simon Jenni, Paolo Favaro
http://arxiv.org/abs/1909.12780v1
• [cs.CV]Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
Nikos Kolotouros, Georgios Pavlakos, Michael J. Black, Kostas Daniilidis
http://arxiv.org/abs/1909.12828v1
• [cs.CV]MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery
Reza Bahmanyar, Elenora Vig, Peter Reinartz
http://arxiv.org/abs/1909.12743v1
• [cs.CV]Markov Decision Process for Video Generation
Vladyslav Yushchenko, Nikita Araslanov, Stefan Roth
http://arxiv.org/abs/1909.12400v1
• [cs.CV]Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains
Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh
http://arxiv.org/abs/1909.12398v1
• [cs.CV]Point Attention Network for Semantic Segmentation of 3D Point Clouds
Mingtao Feng, Liang Zhang, Xuefei Lin, Syed Zulqarnain Gilani, Ajmal Mian
http://arxiv.org/abs/1909.12663v1
• [cs.CV]Pruning from Scratch
Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu
http://arxiv.org/abs/1909.12579v1
• [cs.CV]RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis
Atsuhiro Noguchi, Tatsuya Harada
http://arxiv.org/abs/1909.12573v1
• [cs.CV]Region-wise Generative Adversarial ImageInpainting for Large Missing Areas
Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin Hancock
http://arxiv.org/abs/1909.12507v1
• [cs.CV]Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation
Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
http://arxiv.org/abs/1909.12366v1
• [cs.CV]Towards Real-Time Multi-Object Tracking
Zhongdao Wang, Liang Zheng, Yixuan Liu, Shengjin Wang
http://arxiv.org/abs/1909.12605v1
• [cs.CY]Service-Dominant Business Model Financial Validation: Cost-Benefit Analysis with Business Processes and Service- Dominant Business Models
Egon Lüftenegger, Selver Softic
http://arxiv.org/abs/1909.12393v1
• [cs.DC]COUNTDOWN Slack: a Run-time Library to Reduce Energy Footprint in Large-scale MPI Applications
Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini
http://arxiv.org/abs/1909.12684v1
• [cs.DC]Telescope: an interactive tool for managing large scale analysis from mobile devices
Jaqueline J. Brito, Thiago Mosqueiro, Douglas J. Chapski, Juan De la Hoz, Paulo Matias, Lana Martin, Matteo Pellegrinni, Serghei Mangul
http://arxiv.org/abs/1909.12469v1
• [cs.DS]Total Least Squares Regression in Input Sparsity Time
Huaian Diao, Zhao Song, David P. Woodruff, Xin Yang
http://arxiv.org/abs/1909.12441v1
• [cs.IR]DBRec: Dual-Bridging Recommendation via Discovering Latent Groups
Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Honghui Tu, Xue Li
http://arxiv.org/abs/1909.12301v1
• [cs.IT]Deep Learning-based Polar Code Design
Moustafa Ebada, Sebastian Cammerer, Ahmed Elkelesh, Stephan ten Brink
http://arxiv.org/abs/1909.12035v2
• [cs.IT]Device-to-Device Private Caching with Trusted Server
Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire
http://arxiv.org/abs/1909.12748v1
• [cs.IT]Fixed-Length Strong Coordination
Giulia Cervia, Tobias Oechtering, Mikael Skoglund
http://arxiv.org/abs/1909.12691v1
• [cs.IT]Optimal Precoding for Multiuser MIMO Systems With Phase Quantization and PSK Modulation via Branch-and-Bound
Erico S. P. Lopes, Lukas T. N. Landau
http://arxiv.org/abs/1909.12442v1
• [cs.IT]Private and Rateless Adaptive Coded Matrix-Vector Multiplication
Rawad Bitar, Yuxuan Xing, Yasaman Keshtkarjahromi, Venkat Dasari, Salim El Rouayheb, Hulya Seferoglu
http://arxiv.org/abs/1909.12611v1
• [cs.LG]“Best-of-Many-Samples” Distribution Matching
Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
http://arxiv.org/abs/1909.12598v1
• [cs.LG]A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, Nir Shavit
http://arxiv.org/abs/1909.12673v1
• [cs.LG]A Matrix Factorization Model for Hellinger-based Trust Management in Social IoT
Soroush Aalibagi, Hamidreza Mahyar, Ali Movaghar, H. Eugene Stanley
http://arxiv.org/abs/1909.12432v1
• [cs.LG]A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification
Xuan Wu, Lingxiao Zhao, Leman Akoglu
http://arxiv.org/abs/1909.12385v1
• [cs.LG]Active Federated Learning
Jack Goetz, Kshitiz Malik, Duc Bui, Seungwhan Moon, Honglei Liu, Anuj Kumar
http://arxiv.org/abs/1909.12641v1
• [cs.LG]Alleviating Privacy Attacks via Causal Learning
Shruti Tople, Amit Sharma, Aditya Nori
http://arxiv.org/abs/1909.12732v1
• [cs.LG]CAQL: Continuous Action Q-Learning
Moonkyung Ryu, Yinlam Chow, Ross Anderson, Christian Tjandraatmadja, Craig Boutilier
http://arxiv.org/abs/1909.12397v1
• [cs.LG]Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning
Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu
http://arxiv.org/abs/1909.12514v1
• [cs.LG]Fast Fixed Dimension L2-Subspace Embeddings of Arbitrary Accuracy, With Application to L1 and L2 Tasks
Malik Magdon-Ismail, Alex Gittens
http://arxiv.org/abs/1909.12580v1
• [cs.LG]Federated User Representation Learning
Duc Bui, Kshitiz Malik, Jack Goetz, Honglei Liu, Seungwhan Moon, Anuj Kumar, Kang G. Shin
http://arxiv.org/abs/1909.12535v1
• [cs.LG]Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Ji Liu, Jungong Han
http://arxiv.org/abs/1909.12778v1
• [cs.LG]Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Yecheng Lyu, Xinming Huang, Ziming Zhang
http://arxiv.org/abs/1909.12383v1
• [cs.LG]Hamiltonian Graph Networks with ODE Integrators
Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer, Peter Battaglia
http://arxiv.org/abs/1909.12790v1
• [cs.LG]Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
http://arxiv.org/abs/1909.12475v1
• [cs.LG]Identifying through Flows for Recovering Latent Representations
Shen Li, Bryan Hooi, Gim Hee Lee
http://arxiv.org/abs/1909.12555v1
• [cs.LG]Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks
Rémi Bernhard, Pierre-Alain Moellic, Jean-Max Dutertre
http://arxiv.org/abs/1909.12741v1
• [cs.LG]Improved histogram-based anomaly detector with the extended principal component features
Sunil Aryal, Arbind Agrahari Baniya, KC Santosh
http://arxiv.org/abs/1909.12702v1
• [cs.LG]Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang, Jakub Konečný, Keith Rush, Sreeram Kannan
http://arxiv.org/abs/1909.12488v1
• [cs.LG]Learning in Confusion: Batch Active Learning with Noisy Oracle
Gaurav Gupta, Anit Kumar Sahu, Wan-Yi Lin
http://arxiv.org/abs/1909.12473v1
• [cs.LG]Learning to compute inner consensus — A noble approach to modeling agreement between Capsules
Gonçalo Faria
http://arxiv.org/abs/1909.12737v1
• [cs.LG]MDP-based Shallow Parsing in Distantly Supervised QA Systems
Hamid Zafar, Maryam Tavakol, Jens Lehmann
http://arxiv.org/abs/1909.12566v1
• [cs.LG]MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis
Margherita Rosnati, Vincent Fortuin
http://arxiv.org/abs/1909.12637v1
• [cs.LG]Margin-Based Generalization Lower Bounds for Boosted Classifiers
Allan Grønland, Lior Kamma, Kasper Green Larsen, Alexander Mathiasen, Jelani Nelson
http://arxiv.org/abs/1909.12518v1
• [cs.LG]Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest
Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, G. N. Srinivasa Prasanna, Ramesh Raskar
http://arxiv.org/abs/1909.12734v1
• [cs.LG]Model Pruning Enables Efficient Federated Learning on Edge Devices
Yuang Jiang, Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, Leandros Tassiulas
http://arxiv.org/abs/1909.12326v1
• [cs.LG]Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
Heechang Ryu, Hayong Shin, Jinkyoo Park
http://arxiv.org/abs/1909.12557v1
• [cs.LG]On a convergence property of a geometrical algorithm for statistical manifolds
Shotaro Akaho, Hideitsu Hino, Noboru Murata
http://arxiv.org/abs/1909.12644v1
• [cs.LG]On the Anomalous Generalization of GANs
Jinchen Xuan, Yunchang Yang, Ze Yang, Di He, Liwei Wang
http://arxiv.org/abs/1909.12638v1
• [cs.LG]Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds
Kosuke Arase, Yusuke Mukuta, Tatsuya Harada
http://arxiv.org/abs/1909.12655v1
• [cs.LG]Reweighted Proximal Pruning for Large-Scale Language Representation
Fu-Ming Guo, Sijia Liu, Finlay S. Mungall, Xue Lin, Yanzhi Wang
http://arxiv.org/abs/1909.12486v1
• [cs.LG]Stock Market Forecasting Based on Text Mining Technology: A Support Vector Machine Method
Yancong Xie, Hongxun Jiang
http://arxiv.org/abs/1909.12789v1
• [cs.LG]The Differentiable Cross-Entropy Method
Brandon Amos, Denis Yarats
http://arxiv.org/abs/1909.12830v1
• [cs.LO]Possible/Certain Functional Dependencies
Lhouari Nourine, Jean Marc Petit
http://arxiv.org/abs/1909.12656v1
• [cs.MA]A Generalized Training Approach for Multiagent Learning
Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Perolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Remi Munos
http://arxiv.org/abs/1909.12823v1
• [cs.MM]Query by Semantic Sketch
Luca Rossetto, Ralph Gasser, Heiko Schuldt
http://arxiv.org/abs/1909.12526v1
• [cs.NI]$λ$-NIC: Interactive Serverless Compute on Programmable SmartNICs
Sean Choi, Muhammad Shahbaz, Balaji Prabhakar, Mendel Rosenblum
http://arxiv.org/abs/1909.11958v1
• [cs.RO]A 6-DOF haptic manipulation system to verify assembly procedures on CAD models
Paolo Tripicchio, Carlo Alberto Avizzano, Massimo Bergamasco
http://arxiv.org/abs/1909.12714v1
• [cs.RO]A Momentum-Based Foot Placement Strategy for Stable Postural Control of Robotic Spring-Mass Running with Point Feet
Gorkem Secer, Ali Levent Cinar
http://arxiv.org/abs/1909.12444v1
• [cs.RO]A Novel Adaptive Controller for Robot Manipulators based on Active Inference
Corrado Pezzato, Riccardo Ferrari, Carlos Hernandez
http://arxiv.org/abs/1909.12768v1
• [cs.RO]Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning
Ali Marjaninejad, Jie Tan, Francisco J. Valero-Cuevas
http://arxiv.org/abs/1909.12436v1
• [cs.RO]Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving
Di Feng, Lars Rosenbaum, Claudius Glaeser, Fabian Timm, Klaus Dietmayer
http://arxiv.org/abs/1909.12358v1
• [cs.RO]Deep Gated Multi-modal Learning: In-hand Object Pose Estimation with Tactile and Image
Tomoki Anzai, Kuniyuki Takahashi
http://arxiv.org/abs/1909.12494v1
• [cs.RO]Exploring Pose Priors for Human Pose Estimation with Joint Angle Representations
Yaadhav Raaj
http://arxiv.org/abs/1909.12761v1
• [cs.RO]Invisible Marker: Automatic Annotation for Object Manipulation
Kuniyuki Takahashi, Kenta Yonekura
http://arxiv.org/abs/1909.12493v1
• [cs.RO]Leveraging Multimodal Haptic Sensory Data for Robust Cutting
Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer
http://arxiv.org/abs/1909.12460v1
• [cs.RO]Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes
Lorenzo Nardi, Cyrill Stachniss
http://arxiv.org/abs/1909.12733v1
• [cs.RO]Mapping with Reflection — Detection and Utilization of Reflection in 3D Lidar Scans
Xiting Zhao, Zhijie Yang, Sören Schwertfeger
http://arxiv.org/abs/1909.12483v1
• [cs.RO]Risk-Averse Planning Under Uncertainty
Mohamadreza Ahmadi, Masahiro Ono, Michel D. Ingham, Richard M. Murray, Aaron D. Ames
http://arxiv.org/abs/1909.12499v1
• [cs.RO]TORM: Collision-Free Trajectory Optimization of Redundant Manipulator given an End-Effector Path
Mincheul Kang, Heechan Shin, Donghyuk Kim, Sung-Eui Yoon
http://arxiv.org/abs/1909.12517v1
• [cs.RO]Visual Servoing-based Navigation for Monitoring Row-Crop Fields
Alireza Ahmadi, Lorenzo Nardi, Nived Chebrolu, Cyrill Stachniss
http://arxiv.org/abs/1909.12754v1
• [cs.SD]Urban Sound Tagging using Convolutional Neural Networks
Sainath Adapa
http://arxiv.org/abs/1909.12699v1
• [cs.SI]HateMonitors: Language Agnostic Abuse Detection in Social Media
Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee
http://arxiv.org/abs/1909.12642v1
• [eess.IV]GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention
Ashish Sinha, Yohei Sugawara, Yuichiro Hirano
http://arxiv.org/abs/1909.12525v1
• [eess.SP]A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms
Ruisen Luo, Tao Hu, Zuodong Tang, Chen Wang, Xiaofeng Gong, Haiyan Tu
http://arxiv.org/abs/1909.12472v1
• [eess.SP]Cell-Free Massive MIMO for Wireless Federated Learning
Tung T. Vu, Duy T. Ngo, Nguyen H. Tran, Hien Quoc Ngo, Minh N. Dao, Richard H. Middleton
http://arxiv.org/abs/1909.12567v1
• [eess.SP]Joint Optimization of Execution Latency and Energy Consumption for Mobile Edge Computing with Data Compression and Task Allocation
Minh Hoang Ly, Thinh Quang Dinh, Ha Hoang Kha
http://arxiv.org/abs/1909.12695v1
• [math.ST]Adaptive posterior contraction rates for empirical Bayesian drift estimation of a diffusion
Jan van Waaij
http://arxiv.org/abs/1909.12710v1
• [math.ST]Moment based estimation for the multivariate COGARCH(1,1) process
Thiago do Rêgo Sousa, Robert Stelzer
http://arxiv.org/abs/1909.12378v1
• [physics.comp-ph]Efficient computation of the density matrix with error control on distributed computer systems
Anastasia Kruchinina, Elias Rudberg, Emanuel H. Rubensson
http://arxiv.org/abs/1909.12533v1
• [physics.soc-ph]A novel metric for community detection
Ke-ke Shang, Michael Small, Yan Wang, Di Yin, Shu Li
http://arxiv.org/abs/1909.12467v1
• [physics.soc-ph]Crash dynamics of interdependent networks
Jie Li, Chengyi Xia, Gaoxi Xiao, Yamir Moreno
http://arxiv.org/abs/1909.11834v1
• [physics.soc-ph]Nonlinear Dynamic Models of Conflict via Multiplexed Interaction Networks
Gerardo Aquino, Weisi Guo, Alan Wilson
http://arxiv.org/abs/1909.12457v1
• [q-bio.GN]Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington’s disease
Pascal Schlosser, Jochen Knaus, Maximilian Schmutz, Konstanze Döhner, Christoph Plass, Lars Bullinger, Rainer Claus, Harald Binder, Michael Lübbert, Martin Schumacher
http://arxiv.org/abs/1909.12551v1
• [stat.AP]Bootstrap Cross-validation Improves Model Selection in Pharmacometrics
James Stephens Cavenaugh
http://arxiv.org/abs/1909.12502v1
• [stat.AP]Statistical downscaling with spatial misalignment: Application to wildland fire PM$_{2.5}$ concentration forecasting
Suman Majumder, Yawen Guan, Brian J. Reich, Susan O’Neill, Ana G. Rappold
http://arxiv.org/abs/1909.12429v1
• [stat.CO]Robust Factor Analysis Parameter Estimation
Rui Zhou, Junyan Liu, Sandeep Kumar, Daniel P. Palomar
http://arxiv.org/abs/1909.12530v1
• [stat.ME]An agglomerative hierarchical clustering method by optimizing the average silhouette width
Fatima Batool
http://arxiv.org/abs/1909.12356v1
• [stat.ME]Assessing Data Support for the Simplifying Assumption in Bivariate Conditional Copulas
Evgeny Levi, Radu V Craiu
http://arxiv.org/abs/1909.12688v1
• [stat.ME]Bayesian decision-theoretic design of experiments under an alternative model
Antony M. Overstall, James M. McGree
http://arxiv.org/abs/1909.12570v1
• [stat.ME]CS Sparse K-means: An Algorithm for Cluster-Specific Feature Selection in High-Dimensional Clustering
Xiangrui Zeng, Hongyu Zheng
http://arxiv.org/abs/1909.12384v1
• [stat.ME]Model-based Statistical Depth with Applications to Functional Data
Weilong Zhao, Zishen Xu, Yun Yang, Wei Wu
http://arxiv.org/abs/1909.12412v1
• [stat.ME]SIMEX Estimation in Parametric Modal Regression with Measurement Error
Jianhong Shi, Yujing Zhang, Ping Yu, Weixing Song
http://arxiv.org/abs/1909.12331v1
• [stat.ME]Testing multivariate normality by zeros of the harmonic oscillator in characteristic function spaces
Philip Dörr, Bruno Ebner, Norbert Henze
http://arxiv.org/abs/1909.12624v1
• [stat.ML]Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
Valerio Perrone, Huibin Shen, Matthias Seeger, Cedric Archambeau, Rodolphe Jenatton
http://arxiv.org/abs/1909.12552v1
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