cond-mat.dis-nn - 无序系统与神经网络

    cs.AI - 人工智能 cs.CL - 计算与语言 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.DM - 离散数学 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.TH - 理论经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 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.NC - 神经元与认知 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]Clustering of solutions in the symmetric binary perceptron
    • [cs.AI]”How do I fool you?”: Manipulating User Trust via Misleading Black Box Explanations
    • [cs.AI]A Policy Editor for Semantic Sensor Networks
    • [cs.AI]Fine-grained Qualitative Spatial Reasoning about Point Positions
    • [cs.AI]Reusable neural skill embeddings for vision-guided whole body movement and object manipulation
    • [cs.CL]Bootstrapping NLU Models with Multi-task Learning
    • [cs.CL]CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation
    • [cs.CL]DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction
    • [cs.CL]Sparse associative memory based on contextual code learning for disambiguating word senses
    • [cs.CL]The Eighth Dialog System Technology Challenge
    • [cs.CL]Towards Personalized Dialog Policies for Conversational Skill Discovery
    • [cs.CL]Using natural language processing to extract health-related causality from Twitter messages
    • [cs.CV]A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging
    • [cs.CV]AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients
    • [cs.CV]Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images
    • [cs.CV]CenterMask : Real-Time Anchor-Free Instance Segmentation
    • [cs.CV]Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma
    • [cs.CV]Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No
    • [cs.CV]Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement
    • [cs.CV]GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion
    • [cs.CV]Human Annotations Improve GAN Performances
    • [cs.CV]In-domain representation learning for remote sensing
    • [cs.CV]Learning To Characterize Adversarial Subspaces
    • [cs.CV]Multiple Style-Transfer in Real-Time
    • [cs.CV]OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition
    • [cs.CV]Question-Conditioned Counterfactual Image Generation for VQA
    • [cs.CV]Simple iterative method for generating targeted universal adversarial perturbations
    • [cs.CV]Single Image Reflection Removal through Cascaded Refinement
    • [cs.CV]Single View Distortion Correction using Semantic Guidance
    • [cs.CV]You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
    • [cs.CY]By the user, for the user: A user-centric approach to quantifying the privacy of websites
    • [cs.CY]Data Preparation in Agriculture Through Automated Semantic Annotation — Basis for a Wide Range of Smart Services
    • [cs.CY]Putting Privacy into Perspective — Comparing Technical, Legal, and Users’ View of Data Sensitivity
    • [cs.DC]HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments
    • [cs.DC]Resource-Competitive Sybil Defenses
    • [cs.DC]Scalable and Reliable Multi-Dimensional Aggregation of Sensor Data Streams
    • [cs.DC]Two-level Dynamic Load Balancing for High Performance Scientific Applications
    • [cs.DM]Optimal adaptive group testing
    • [cs.IT]Codes Correcting All Patterns of Tandem-Duplication Errors of Maximum Length 3
    • [cs.IT]Entanglement-assisted Quantum Codes from Cyclic Codes
    • [cs.IT]General Criteria for Successor Rules to Efficiently Generate Binary de Bruijn Sequences
    • [cs.IT]Improving PHY-Security of UAV-Enabled Transmission with Wireless Energy Harvesting: Robust Trajectory Design and Power Allocation
    • [cs.IT]Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction
    • [cs.IT]Non-Orthogonal Multiple Access for Visible Light Communications with Ambient Light and User Mobility
    • [cs.LG]$\ell_{\infty}$ Vector Contraction for Rademacher Complexity
    • [cs.LG]ASCAI: Adaptive Sampling for acquiring Compact AI
    • [cs.LG]CASTER: Predicting Drug Interactions with Chemical Substructure Representation
    • [cs.LG]Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records
    • [cs.LG]Forgetting to learn logic programs
    • [cs.LG]Generative Models for Effective ML on Private, Decentralized Datasets
    • [cs.LG]LIBRE: Learning Interpretable Boolean Rule Ensembles
    • [cs.LG]MMGAN: Generative Adversarial Networks for Multi-Modal Distributions
    • [cs.LG]Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach
    • [cs.LG]Modelling EHR timeseries by restricting feature interaction
    • [cs.LG]Multi-Label Learning with Deep Forest
    • [cs.LG]Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings
    • [cs.LG]On Model Robustness Against Adversarial Examples
    • [cs.LG]Optimal Mini-Batch Size Selection for Fast Gradient Descent
    • [cs.LG]Penalized k-means algorithms for finding the correct number of clusters in a dataset
    • [cs.LG]Predicting Drug-Drug Interactions from Molecular Structure Images
    • [cs.LG]Self-supervised Adversarial Training
    • [cs.LG]Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
    • [cs.LG]Sequential Recommendation with Relation-Aware Kernelized Self-Attention
    • [cs.LG]Stagewise Knowledge Distillation
    • [cs.LG]Synthetic Event Time Series Health Data Generation
    • [cs.LG]TinyCNN: A Tiny Modular CNN Accelerator for Embedded FPGA
    • [cs.LG]Unsupervised Attributed Multiplex Network Embedding
    • [cs.NE]Auto-encoding a Knowledge Graph Using a Deep Belief Network: A Random Fields Perspective
    • [cs.NE]Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility
    • [cs.NI]Flexible Functional Split and Power Control for Energy Harvesting Cloud Radio Access Networks
    • [cs.RO]Design Requirements of Generic Hand Exoskeletons and Survey of Hand Exoskeletons for Rehabilitation, Assistive or Haptic Use
    • [cs.SI]Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and “Idea Geography” Visualization
    • [cs.SI]Graph Iso/Auto-morphism: A Divide-&-Conquer Approach
    • [cs.SI]On a Centrality Maximization Game
    • [cs.SI]Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods
    • [econ.TH]A Generalized Markov Chain Model to Capture Dynamic Preferences and Choice Overload
    • [eess.AS]Independent and automatic evaluation of acoustic-to-articulatory inversion models
    • [eess.IV]Contrast Phase Classification with a Generative Adversarial Network
    • [eess.IV]Fourier Spectrum Discrepancies in Deep Network Generated Images
    • [eess.IV]Give me (un)certainty — An exploration of parameters that affect segmentation uncertainty
    • [eess.IV]Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels
    • [eess.SY]Safe Interactive Model-Based Learning
    • [math.ST]A nonparametric estimator of the extremal index
    • [math.ST]Estimation of dynamic networks for high-dimensional nonstationary time series
    • [math.ST]Estimation via length-constrained generalized empirical principal curves under small noise
    • [math.ST]Optimal Sequential Tests for Detection of Changes under Finite measure space for Finite Sequences of Networks
    • [physics.comp-ph]Enforcing Boundary Conditions on Physical Fields in Bayesian Inversion
    • [physics.comp-ph]Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems
    • [physics.soc-ph]Random walks on hypergraphs
    • [q-bio.NC]Radically Compositional Cognitive Concepts
    • [stat.AP]Batch correction of high-dimensional data
    • [stat.AP]Estimating adaptive cruise control model parameters from on-board radar units
    • [stat.AP]Measurement Error Correction in Particle Tracking Microrheology
    • [stat.AP]On Data Enriched Logistic Regression
    • [stat.ME]A nonparametric framework for inferring orders of categorical data from category-real ordered pairs
    • [stat.ME]Akaike’s Bayesian information criterion (ABIC) or not ABIC for geophysical inversion
    • [stat.ME]Assessing the uncertainty in statistical evidence with the possibility of model misspecification using a non-parametric bootstrap
    • [stat.ME]Asymptotically Exact Variational Bayes for High-Dimensional Binary Regression Models
    • [stat.ME]Causal inference using Bayesian non-parametric quasi-experimental design
    • [stat.ME]GET: Global envelopes in R
    • [stat.ME]How bettering the best? Answers via blending models and cluster formulations in density-based clustering
    • [stat.ML]Fair Data Adaptation with Quantile Preservation
    • [stat.ML]Imputing missing values with unsupervised random trees
    • [stat.ML]Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice
    • [stat.ML]Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior

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    • [cond-mat.dis-nn]Clustering of solutions in the symmetric binary perceptron
    Carlo Baldassi, Riccardo Della Vecchia, Carlo Lucibello, Riccardo Zecchina
    http://arxiv.org/abs/1911.06756v1

    • [cs.AI]“How do I fool you?”: Manipulating User Trust via Misleading Black Box Explanations
    Himabindu Lakkaraju, Osbert Bastani
    http://arxiv.org/abs/1911.06473v1

    • [cs.AI]A Policy Editor for Semantic Sensor Networks
    Paolo Pareti, George Konstantinidis, Timothy J. Norman
    http://arxiv.org/abs/1911.06657v1

    • [cs.AI]Fine-grained Qualitative Spatial Reasoning about Point Positions
    Sören Schwertfeger
    http://arxiv.org/abs/1911.06543v1

    • [cs.AI]Reusable neural skill embeddings for vision-guided whole body movement and object manipulation
    Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess
    http://arxiv.org/abs/1911.06636v1

    • [cs.CL]Bootstrapping NLU Models with Multi-task Learning
    Shubham Kapoor, Caglar Tirkaz
    http://arxiv.org/abs/1911.06673v1

    • [cs.CL]CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation
    Zhiyue Liu, Jiahai Wang, Zhiwei Liang
    http://arxiv.org/abs/1911.06641v1

    • [cs.CL]DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction
    Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jingyi Zhang, Xi Peng
    http://arxiv.org/abs/1911.06489v1

    • [cs.CL]Sparse associative memory based on contextual code learning for disambiguating word senses
    Max Raphael Sobroza, Tales Marra, Deok-Hee Kim-Dufor, Claude Berrou
    http://arxiv.org/abs/1911.06415v1

    • [cs.CL]The Eighth Dialog System Technology Challenge
    Seokhwan Kim, Michel Galley, Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta
    http://arxiv.org/abs/1911.06394v1

    • [cs.CL]Towards Personalized Dialog Policies for Conversational Skill Discovery
    Maryam Fazel-Zarandi, Sampat Biswas, Ryan Summers, Ahmed Elmalt, Andy McCraw, Michael McPhilips, John Peach
    http://arxiv.org/abs/1911.06747v1

    • [cs.CL]Using natural language processing to extract health-related causality from Twitter messages
    Son Doan, Elly W Yang, Sameer Tilak, Manabu Torii
    http://arxiv.org/abs/1911.06488v1

    • [cs.CV]A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging
    Yunfan Liu, Qi Li, Zhenan Sun, Tieniu Tan
    http://arxiv.org/abs/1911.06531v1

    • [cs.CV]AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients
    Xiaodan Li, Yuefeng Chen, Yuan He, Hui Xue
    http://arxiv.org/abs/1911.06591v1

    • [cs.CV]Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images
    Sohini Roy Chowdhury, Lars Tornberg, Robin Halvfordsson, Jonatan Nordh, Adam Suhren Gustafsson, Joel Wall, Mattias Westerberg, Adam Wirehed, Louis Tilloy, Zhanying Hu, Haoyuan Tan, Meng Pan, Jonas Sjoberg
    http://arxiv.org/abs/1911.06486v1

    • [cs.CV]CenterMask : Real-Time Anchor-Free Instance Segmentation
    Youngwan Lee, Jongyoul Park
    http://arxiv.org/abs/1911.06667v1

    • [cs.CV]Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma
    Ahmad Chaddad, Saima Rathore, Mingli Zhang, Christian Desrosiers, Tamim Niazi
    http://arxiv.org/abs/1911.06687v1

    • [cs.CV]Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No
    Vítor Albiero, Kevin W. Bowyer, Kushal Vangara, Michael C. King
    http://arxiv.org/abs/1911.06396v1

    • [cs.CV]Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement
    Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
    http://arxiv.org/abs/1911.06443v1

    • [cs.CV]GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion
    Anh-Duc Nguyen, Seonghwa Choi, Woojae Kim, Sanghoon Lee
    http://arxiv.org/abs/1911.06600v1

    • [cs.CV]Human Annotations Improve GAN Performances
    Juanyong Duan, Sim Heng Ong, Qi Zhao
    http://arxiv.org/abs/1911.06460v1

    • [cs.CV]In-domain representation learning for remote sensing
    Maxim Neumann, Andre Susano Pinto, Xiaohua Zhai, Neil Houlsby
    http://arxiv.org/abs/1911.06721v1

    • [cs.CV]Learning To Characterize Adversarial Subspaces
    Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue
    http://arxiv.org/abs/1911.06587v1

    • [cs.CV]Multiple Style-Transfer in Real-Time
    Michael Maring, Kaustav Chakraborty
    http://arxiv.org/abs/1911.06464v1

    • [cs.CV]OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition
    Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan
    http://arxiv.org/abs/1911.06487v1

    • [cs.CV]Question-Conditioned Counterfactual Image Generation for VQA
    Jingjing Pan, Yash Goyal, Stefan Lee
    http://arxiv.org/abs/1911.06352v1

    • [cs.CV]Simple iterative method for generating targeted universal adversarial perturbations
    Hokuto Hirano, Kazuhiro Takemoto
    http://arxiv.org/abs/1911.06502v1

    • [cs.CV]Single Image Reflection Removal through Cascaded Refinement
    Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft
    http://arxiv.org/abs/1911.06634v1

    • [cs.CV]Single View Distortion Correction using Semantic Guidance
    Szabolcs-Botond Lőrincz, Szabolcs Pável, Lehel Csató
    http://arxiv.org/abs/1911.06505v1

    • [cs.CV]You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
    Okan Köpüklü, Xiangyu Wei, Gerhard Rigoll
    http://arxiv.org/abs/1911.06644v1

    • [cs.CY]By the user, for the user: A user-centric approach to quantifying the privacy of websites
    Matius Chairani, Mathieu Chevalley, Abderrahmane Lazraq, Sruti Bhagavatula
    http://arxiv.org/abs/1911.05798v2

    • [cs.CY]Data Preparation in Agriculture Through Automated Semantic Annotation — Basis for a Wide Range of Smart Services
    Julian Klose, Markus Schröder, Silke Becker, Ansgar Bernardi, Arno Ruckelshausen
    http://arxiv.org/abs/1911.06606v1

    • [cs.CY]Putting Privacy into Perspective — Comparing Technical, Legal, and Users’ View of Data Sensitivity
    Eva-Maria Schomakers, Chantal Lidynia, Dirk Müllmann, Roman Matzutt, Klaus Wehrle, Indra Spiecker gen. Döhmann, Martina Ziefle
    http://arxiv.org/abs/1911.06569v1

    • [cs.DC]HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments
    Shreshth Tuli, Nipam Basumatary, Sukhpal Singh Gill, Mohsen Kahani, Rajesh Chand Arya, Gurpreet Singh Wander, Rajkumar Buyya
    http://arxiv.org/abs/1911.06633v1

    • [cs.DC]Resource-Competitive Sybil Defenses
    Diksha Gupta, Jared Saia, Maxwell Young
    http://arxiv.org/abs/1911.06462v1

    • [cs.DC]Scalable and Reliable Multi-Dimensional Aggregation of Sensor Data Streams
    Sören Henning, Wilhelm Hasselbring
    http://arxiv.org/abs/1911.06525v1

    • [cs.DC]Two-level Dynamic Load Balancing for High Performance Scientific Applications
    Ali Mohammed, Aurelien Cavelan, Florina M. Ciorba, Ruben M. Cabezon, Ioana Banicesu
    http://arxiv.org/abs/1911.06714v1

    • [cs.DM]Optimal adaptive group testing
    Max Hahn-Klimroth, Philipp Loick
    http://arxiv.org/abs/1911.06647v1

    • [cs.IT]Codes Correcting All Patterns of Tandem-Duplication Errors of Maximum Length 3
    Mladen Kovačević
    http://arxiv.org/abs/1911.06561v1

    • [cs.IT]Entanglement-assisted Quantum Codes from Cyclic Codes
    Francisco Revson F. Pereira
    http://arxiv.org/abs/1911.06384v1

    • [cs.IT]General Criteria for Successor Rules to Efficiently Generate Binary de Bruijn Sequences
    Zuling Chang, Martianus Frederic Ezerman, Pinhui Ke, Qiang Wang
    http://arxiv.org/abs/1911.06670v1

    • [cs.IT]Improving PHY-Security of UAV-Enabled Transmission with Wireless Energy Harvesting: Robust Trajectory Design and Power Allocation
    Milad Tatar Mamaghani, Yi Hong
    http://arxiv.org/abs/1911.06516v1

    • [cs.IT]Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction
    Muhammad Alrabeiah, Andrew Hredzak, Ahmed Alkhateeb
    http://arxiv.org/abs/1911.06255v2

    • [cs.IT]Non-Orthogonal Multiple Access for Visible Light Communications with Ambient Light and User Mobility
    Rangeet Mitra, Paschalis. C. Sofotasios, Vimal Bhatia, Sami Muhaidat
    http://arxiv.org/abs/1911.06765v1

    • [cs.LG]$\ell_{\infty}$ Vector Contraction for Rademacher Complexity
    Dylan J. Foster, Alexander Rakhlin
    http://arxiv.org/abs/1911.06468v1

    • [cs.LG]ASCAI: Adaptive Sampling for acquiring Compact AI
    Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar
    http://arxiv.org/abs/1911.06471v1

    • [cs.LG]CASTER: Predicting Drug Interactions with Chemical Substructure Representation
    Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas M. Glass, Jimeng Sun
    http://arxiv.org/abs/1911.06446v1

    • [cs.LG]Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records
    Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow
    http://arxiv.org/abs/1911.06472v1

    • [cs.LG]Forgetting to learn logic programs
    Andrew Cropper
    http://arxiv.org/abs/1911.06643v1

    • [cs.LG]Generative Models for Effective ML on Private, Decentralized Datasets
    Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Aguera y Arcas
    http://arxiv.org/abs/1911.06679v1

    • [cs.LG]LIBRE: Learning Interpretable Boolean Rule Ensembles
    Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi
    http://arxiv.org/abs/1911.06537v1

    • [cs.LG]MMGAN: Generative Adversarial Networks for Multi-Modal Distributions
    Teodora Pandeva, Matthias Schubert
    http://arxiv.org/abs/1911.06663v1

    • [cs.LG]Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach
    Hyungsul Kim, Ahmed El-Kishky, Xiang Ren, Jiawei Han
    http://arxiv.org/abs/1911.06407v1

    • [cs.LG]Modelling EHR timeseries by restricting feature interaction
    Kun Zhang, Yuan Xue, Gerardo Flores, Alvin Rajkomar, Claire Cui, Andrew M. Dai
    http://arxiv.org/abs/1911.06410v1

    • [cs.LG]Multi-Label Learning with Deep Forest
    Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou
    http://arxiv.org/abs/1911.06557v1

    • [cs.LG]Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings
    Vanja Doskoč, Tobias Friedrich, Andreas Göbel, Frank Neumann, Aneta Neumann, Francesco Quinzan
    http://arxiv.org/abs/1911.06791v1

    • [cs.LG]On Model Robustness Against Adversarial Examples
    Shufei Zhang, Kaizhu Huang, Zenglin Xu
    http://arxiv.org/abs/1911.06479v1

    • [cs.LG]Optimal Mini-Batch Size Selection for Fast Gradient Descent
    Michael P. Perrone, Haidar Khan, Changhoan Kim, Anastasios Kyrillidis, Jerry Quinn, Valentina Salapura
    http://arxiv.org/abs/1911.06459v1

    • [cs.LG]Penalized k-means algorithms for finding the correct number of clusters in a dataset
    Behzad Kamgar-Parsi, Behrooz Kamgar-Parsi
    http://arxiv.org/abs/1911.06741v1

    • [cs.LG]Predicting Drug-Drug Interactions from Molecular Structure Images
    Devendra Singh Dhami, Gautam Kunapuli, David Page, Sriraam Natarajan
    http://arxiv.org/abs/1911.06356v1

    • [cs.LG]Self-supervised Adversarial Training
    Kejiang Chen, Hang Zhou, Yuefeng Chen, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu
    http://arxiv.org/abs/1911.06470v1

    • [cs.LG]Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
    Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon
    http://arxiv.org/abs/1911.06393v1

    • [cs.LG]Sequential Recommendation with Relation-Aware Kernelized Self-Attention
    Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon
    http://arxiv.org/abs/1911.06478v1

    • [cs.LG]Stagewise Knowledge Distillation
    Akshay Kulkarni, Navid Panchi, Shital Chiddarwar
    http://arxiv.org/abs/1911.06786v1

    • [cs.LG]Synthetic Event Time Series Health Data Generation
    Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Andrew Yale, Kristin P. Bennett
    http://arxiv.org/abs/1911.06411v1

    • [cs.LG]TinyCNN: A Tiny Modular CNN Accelerator for Embedded FPGA
    Ali Jahanshahi
    http://arxiv.org/abs/1911.06777v1

    • [cs.LG]Unsupervised Attributed Multiplex Network Embedding
    Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu
    http://arxiv.org/abs/1911.06750v1

    • [cs.NE]Auto-encoding a Knowledge Graph Using a Deep Belief Network: A Random Fields Perspective
    Robert A. Murphy
    http://arxiv.org/abs/1911.06322v1

    • [cs.NE]Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility
    Shikhar Jain, Rohit Kaushik, Siddhant Jain, Tirtharaj Dash
    http://arxiv.org/abs/1911.06704v1

    • [cs.NI]Flexible Functional Split and Power Control for Energy Harvesting Cloud Radio Access Networks
    Liumeng Wang, Sheng Zhou
    http://arxiv.org/abs/1911.06463v1

    • [cs.RO]Design Requirements of Generic Hand Exoskeletons and Survey of Hand Exoskeletons for Rehabilitation, Assistive or Haptic Use
    Mine Sarac, Massimiliano Solazzi, Antonio Frisoli
    http://arxiv.org/abs/1911.06408v1

    • [cs.SI]Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and “Idea Geography” Visualization
    Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. MacLaren, Ankita Kulkarni, Shelley D. Dionne, Francis J. Yammarino, Hiroki Sayama
    http://arxiv.org/abs/1911.06353v1

    • [cs.SI]Graph Iso/Auto-morphism: A Divide-&-Conquer Approach
    Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng
    http://arxiv.org/abs/1911.06511v1

    • [cs.SI]On a Centrality Maximization Game
    Maria Castaldo, Costanza Catalano, Giacomo Como, Fabio Fagnani
    http://arxiv.org/abs/1911.06737v1

    • [cs.SI]Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods
    Moniba Keymanesh, Saket Gurukar, Bethany Boettner, Christopher Browning, Catherine Calder, Srinivasan Parthasarathy
    http://arxiv.org/abs/1911.06359v1

    • [econ.TH]A Generalized Markov Chain Model to Capture Dynamic Preferences and Choice Overload
    Kumar Goutam, Vineet Goyal, Agathe Soret
    http://arxiv.org/abs/1911.06716v1

    • [eess.AS]Independent and automatic evaluation of acoustic-to-articulatory inversion models
    Parrot Maud, Millet Juliette, Dunbar Ewan
    http://arxiv.org/abs/1911.06573v1

    • [eess.IV]Contrast Phase Classification with a Generative Adversarial Network
    Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
    http://arxiv.org/abs/1911.06395v1

    • [eess.IV]Fourier Spectrum Discrepancies in Deep Network Generated Images
    Tarik Dzanic, Freddie Witherden
    http://arxiv.org/abs/1911.06465v1

    • [eess.IV]Give me (un)certainty — An exploration of parameters that affect segmentation uncertainty
    Katharina Hoebel, Ken Chang, Jay Patel, Praveer Singh, Jayashree Kalpathy-Cramer
    http://arxiv.org/abs/1911.06357v1

    • [eess.IV]Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels
    Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen
    http://arxiv.org/abs/1911.06475v1

    • [eess.SY]Safe Interactive Model-Based Learning
    Marco Gallieri, Seyed Sina Mirrazavi Salehian, Nihat Engin Toklu, Alessio Quaglino, Jonathan Masci, Jan Koutník, Faustino Gomez
    http://arxiv.org/abs/1911.06556v1

    • [math.ST]A nonparametric estimator of the extremal index
    Juan Juan Cai
    http://arxiv.org/abs/1911.06674v1

    • [math.ST]Estimation of dynamic networks for high-dimensional nonstationary time series
    Mengyu Xu, Xiaohui Chen, Weibiao Wu
    http://arxiv.org/abs/1911.06385v1

    • [math.ST]Estimation via length-constrained generalized empirical principal curves under small noise
    Sylvain Delattre, Aurélie Fischer
    http://arxiv.org/abs/1911.06728v1

    • [math.ST]Optimal Sequential Tests for Detection of Changes under Finite measure space for Finite Sequences of Networks
    Lei Qiao, Dong Han
    http://arxiv.org/abs/1911.06545v1

    • [physics.comp-ph]Enforcing Boundary Conditions on Physical Fields in Bayesian Inversion
    Carlos A. Michelén Ströfer, Xinlei Zhang, Heng Xiao, Olivier Coutier-Delgosha
    http://arxiv.org/abs/1911.06683v1

    • [physics.comp-ph]Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems
    Zeng Yang, Jin-Long Wu, Heng Xiao
    http://arxiv.org/abs/1911.06671v1

    • [physics.soc-ph]Random walks on hypergraphs
    Timoteo Carletti, Federico Battiston, Giulia Cencetti, Duccio Fanelli
    http://arxiv.org/abs/1911.06523v1

    • [q-bio.NC]Radically Compositional Cognitive Concepts
    Toby B. St Clere Smithe
    http://arxiv.org/abs/1911.06602v1

    • [stat.AP]Batch correction of high-dimensional data
    Emanuele Aliverti, Jeff Tilson, Dayne Filer, Benjamin Babcock, Alejandro Colaneri, Jennifer Ocasio, Timothy R. Gershon, Kirk C. Wilhelmsen, David B. Dunson
    http://arxiv.org/abs/1911.06708v1

    • [stat.AP]Estimating adaptive cruise control model parameters from on-board radar units
    Yanbing Wang, George Gunter, Matthew Nice, Daniel B. Work
    http://arxiv.org/abs/1911.06454v1

    • [stat.AP]Measurement Error Correction in Particle Tracking Microrheology
    Yun Ling, Martin Lysy, Ian Seim, Jay M. Newby, David B. Hill, Jeremy Cribb, M. Gregory Forest
    http://arxiv.org/abs/1911.06451v1

    • [stat.AP]On Data Enriched Logistic Regression
    Cheng Zheng, Sayan Dasgupta, Yuxiang Xie, Asad Haris, Ying Qing Chen
    http://arxiv.org/abs/1911.06380v1

    • [stat.ME]A nonparametric framework for inferring orders of categorical data from category-real ordered pairs
    Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong
    http://arxiv.org/abs/1911.06723v1

    • [stat.ME]Akaike’s Bayesian information criterion (ABIC) or not ABIC for geophysical inversion
    Peiliang Xu
    http://arxiv.org/abs/1911.06564v1

    • [stat.ME]Assessing the uncertainty in statistical evidence with the possibility of model misspecification using a non-parametric bootstrap
    Mark L. Taper, Subhash R Lele, José-Miguel Ponciano, Brian Dennis
    http://arxiv.org/abs/1911.06421v1

    • [stat.ME]Asymptotically Exact Variational Bayes for High-Dimensional Binary Regression Models
    Augusto Fasano, Daniele Durante, Giacomo Zanella
    http://arxiv.org/abs/1911.06743v1

    • [stat.ME]Causal inference using Bayesian non-parametric quasi-experimental design
    Max Hinne, Marcel A. J. van Gerven, Luca Ambrogioni
    http://arxiv.org/abs/1911.06722v1

    • [stat.ME]GET: Global envelopes in R
    Mari Myllymäki, Tomáš Mrkvička
    http://arxiv.org/abs/1911.06583v1

    • [stat.ME]How bettering the best? Answers via blending models and cluster formulations in density-based clustering
    Alessandro Casa, Luca Scrucca, Giovanna Menardi
    http://arxiv.org/abs/1911.06726v1

    • [stat.ML]Fair Data Adaptation with Quantile Preservation
    Drago Plečko, Nicolai Meinshausen
    http://arxiv.org/abs/1911.06685v1

    • [stat.ML]Imputing missing values with unsupervised random trees
    David Cortes
    http://arxiv.org/abs/1911.06646v1

    • [stat.ML]Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice
    Ryo Kamoi, Kei Kobayashi
    http://arxiv.org/abs/1911.06515v1

    • [stat.ML]Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior
    Mario González, Andrés Almansa, Mauricio Delbracio, Pablo Musé, Pauline Tan
    http://arxiv.org/abs/1911.06379v1