astro-ph.SR - 太阳和天体物理学恒星
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.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 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.PF - 计算性能 cs.PL - 编程语言 cs.RO - 机器人学 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 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.OC - 优化与控制 physics.chem-ph -化学物理 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 quant-ph - 量子物理 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
• [astro-ph.SR]Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field
• [cs.AI]A Cooperative Coordination Solver for Travelling Thief Problems
• [cs.AI]A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness
• [cs.AI]A different take on the best-first game tree pruning algorithms
• [cs.AI]AI Ethics for Systemic Issues: A Structural Approach
• [cs.AI]Hierarchical Finite State Controllers for Generalized Planning
• [cs.CG]Persistent Homology as Stopping-Criterion for Natural Neighbor Interpolation
• [cs.CL]A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models
• [cs.CL]Ask to Learn: A Study on Curiosity-driven Question Generation
• [cs.CL]Char-RNN and Active Learning for Hashtag Segmentation
• [cs.CL]Comparison of Machine Learning Based Methods Used in Bengali Question Classification
• [cs.CL]Composing and Embedding the Words-as-Classifiers Model of Grounded Semantics
• [cs.CL]Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering
• [cs.CL]Crowdsourcing a High-Quality Gold Standard for QA-SRL
• [cs.CL]Domain Robustness in Neural Machine Translation
• [cs.CL]ERASER: A Benchmark to Evaluate Rationalized NLP Models
• [cs.CL]Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates
• [cs.CL]How Language-Neutral is Multilingual BERT?
• [cs.CL]How to Do Simultaneous Translation Better with Consecutive Neural Machine Translation?
• [cs.CL]Interactive Refinement of Cross-Lingual Word Embeddings
• [cs.CL]Investigation of Error Simulation Techniques for Learning Dialog Policies for Conversational Error Recovery
• [cs.CL]Low-Level Linguistic Controls for Style Transfer and Content Preservation
• [cs.CL]Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages
• [cs.CL]Negated LAMA: Birds cannot fly
• [cs.CL]Neural Graph Embedding methods for Natural Language Processing
• [cs.CL]Not Enough Data? Deep Learning to the Rescue!
• [cs.CL]Open Domain Web Keyphrase Extraction Beyond Language Modeling
• [cs.CL]Porous Lattice-based Transformer Encoder for Chinese NER
• [cs.CL]Pretrained Language Models for Document-Level Neural Machine Translation
• [cs.CL]Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce
• [cs.CL]Question Generation from Paragraphs: A Tale of Two Hierarchical Models
• [cs.CL]Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
• [cs.CL]Relation Adversarial Network for Low Resource KnowledgeGraph Completion
• [cs.CL]Resurrecting Submodularity in Neural Abstractive Summarization
• [cs.CL]SEPT: Improving Scientific Named Entity Recognition with Span Representation
• [cs.CL]SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
• [cs.CL]Should All Cross-Lingual Embeddings Speak English?
• [cs.CL]The TechQA Dataset
• [cs.CL]Transforming Wikipedia into Augmented Data for Query-Focused Summarization
• [cs.CL]Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator
• [cs.CL]What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning
• [cs.CL]Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization
• [cs.CL]iSarcasm: A Dataset of Intended Sarcasm
• [cs.CR]Blockchain for Future Smart Grid: A Comprehensive Survey
• [cs.CR]Revocable Federated Learning: A Benchmark of Federated Forest
• [cs.CV]A Novel Approach for Partial Fingerprint Identification to Mitigate MasterPrint Generation
• [cs.CV]Are we asking the right questions in MovieQA?
• [cs.CV]Argoverse: 3D Tracking and Forecasting with Rich Maps
• [cs.CV]Automatic Identification of Traditional Colombian Music Genres based on Audio Content Analysis and Machine Learning Technique
• [cs.CV]Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding
• [cs.CV]Content-Consistent Generation of Realistic Eyes with Style
• [cs.CV]Deep, robust and single shot 3D multi-person human pose estimation in complex images
• [cs.CV]Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition
• [cs.CV]Dynamic Multi-Task Learning for Face Recognition with Facial Expression
• [cs.CV]Extracting temporal features into a spatial domain using autoencoders for sperm video analysis
• [cs.CV]Model Adaption Object Detection System for Robot
• [cs.CV]Quality Aware Generative Adversarial Networks
• [cs.CV]RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
• [cs.CY]Fair Allocation through Selective Information Acquisition
• [cs.DB]PnyxDB: a Lightweight Leaderless Democratic Byzantine Fault Tolerant Replicated Datastore
• [cs.DC]A Survey on Edge Computing Systems and Tools
• [cs.DC]CFS: A Distributed File System for Large Scale Container Platforms
• [cs.DC]Lock-Free Hopscotch Hashing
• [cs.DC]MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent
• [cs.DC]Quality of Service (QoS) Modelling in Federated Cloud Computing
• [cs.DL]Perspectives on urban theories
• [cs.DS]Distributed MST: A Smoothed Analysis
• [cs.DS]Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds
• [cs.DS]Local Search for Group Closeness Maximization on Big Graphs
• [cs.GT]Neural Networks for Predicting Human Interactions in Repeated Games
• [cs.IR]CROWN: Conversational Passage Ranking by Reasoning over Word Networks
• [cs.IR]Cross-Lingual Relevance Transfer for Document Retrieval
• [cs.IT]A Gated Hypernet Decoder for Polar Codes
• [cs.IT]CPM Training Waveforms With Autocorrelation Sidelobes Close To Zero
• [cs.IT]Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications
• [cs.IT]Constacyclic codes of length $4p^s$ over the Galois ring $GR(p^a,m)$
• [cs.IT]Deriving pairwise transfer entropy from network structure and motifs
• [cs.IT]Error Correction for Partially Stuck Memory Cells
• [cs.IT]Learning Connectivity and Higher-order Interactions in Radial Distribution Grids
• [cs.IT]Low Latency Decoder for Short Blocklength Polar Codes
• [cs.IT]Maximum Likelihood Decoding of Convolutionally Coded Noncoherent ASK Signals in AWGN Channels
• [cs.IT]Optimal Z-complementary Code Set From Generalized Reed-Muller Codes
• [cs.IT]Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
• [cs.LG]$H_\inf$ Model-free Reinforcement Learning with Robust Stability Guarantee
• [cs.LG]Adaptive Kernel Value Caching for SVM Training
• [cs.LG]Advances in Machine Learning for the Behavioral Sciences
• [cs.LG]An Experimental Comparison of Old and New Decision Tree Algorithms
• [cs.LG]AutoIDS: Auto-encoder Based Method for Intrusion Detection System
• [cs.LG]Certified Data Removal from Machine Learning Models
• [cs.LG]Collapse Resistant Deep Convolutional GAN for Multi-Object Image Generation
• [cs.LG]Composition-based Multi-Relational Graph Convolutional Networks
• [cs.LG]Data Generation for Neural Programming by Example
• [cs.LG]Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network
• [cs.LG]Deep geometric knowledge distillation with graphs
• [cs.LG]Discovering Invariances in Healthcare Neural Networks
• [cs.LG]Electric Analog Circuit Design with Hypernetworks and a Differential Simulator
• [cs.LG]FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things
• [cs.LG]Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning
• [cs.LG]Inference with Deep Generative Priors in High Dimensions
• [cs.LG]Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
• [cs.LG]Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning
• [cs.LG]Macro F1 and Macro F1
• [cs.LG]Memory Augmented Recursive Neural Networks
• [cs.LG]Penalty Method for Inversion-Free Deep Bilevel Optimization
• [cs.LG]Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent
• [cs.LG]Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study
• [cs.LG]SENSE: Semantically Enhanced Node Sequence Embedding
• [cs.LG]Sequence-Aware Factorization Machines for Temporal Predictive Analytics
• [cs.LG]Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning
• [cs.LG]Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions
• [cs.LG]Unified Sample-Optimal Property Estimation in Near-Linear Time
• [cs.NE]A New Interactive Mathematical Modeling — Artificial Neural Network Method for the Problems with a Limited Learning Data Set
• [cs.NE]A Numerical Study of the Time of Extinction in a Class of Systems of Spiking Neurons
• [cs.NE]Feature discriminativity estimation in CNNs for transfer learning
• [cs.NE]Towards Monitoring Parkinson’s Disease Following Drug Treatment: CGP Classification of rs-MRI Data
• [cs.NI]Energy and Social Cost Minimization for Data Dissemination in Wireless Networks: Centralized and Decentralized Approaches
• [cs.PF]The Pitfall of Evaluating Performance on Emerging AI Accelerators
• [cs.PL]ROSY: An elegant language to teach the pure reactive nature of robot programming
• [cs.RO]Accurate Vision-based Manipulation through Contact Reasoning
• [cs.RO]Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance
• [cs.RO]Building an Aerial-Ground Robotics System for Precision Farming
• [cs.RO]Haptic Teleoperation of UAVs through Control Barrier Functions
• [cs.RO]LiDAR Enhanced Structure-from-Motion
• [cs.RO]Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans
• [cs.RO]Time-Dependent Hybrid-State A* and Optimal Control for Autonomous Vehicles in Arbitrary and Dynamic Environment
• [cs.SI]Characterizing behavioral trends in a community driven discussion platform
• [cs.SI]Mining Bursting Communities in Temporal Graphs
• [cs.SI]Online Learning and Optimization Under a New Linear-Threshold Model with Negative Influence
• [eess.AS]Adversarial Attacks on GMM i-vector based Speaker Verification Systems
• [eess.IV]Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image
• [eess.IV]Stacked dense optical flows and dropout layers to predict sperm motility and morphology
• [eess.SP]A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables
• [eess.SP]AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application
• [eess.SY]Beacon-referenced Pursuit for Collective Motions in Three Dimensions
• [eess.SY]Non-parametric Probabilistic Load Flow using Gaussian Process Learning
• [eess.SY]Online Gaussian Process learning-based Model Predictive Control with Stability Guarantees
• [eess.SY]Statistical Learning for Analysis of Networked Control Systems over Unknown Channels
• [math.CO]Combining subspace codes
• [math.OC]High-dimensional Black-box Optimization Under Uncertainty
• [math.OC]Learning-Accelerated ADMM for Distributed Optimal Power Flow
• [physics.chem-ph]Machine learning for molecular simulation
• [physics.comp-ph]Digital Blood in Massively Parallel CPU/GPU Systems for the Study of Platelet Transport
• [physics.med-ph]Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
• [physics.med-ph]Uncertainty propagation in phaseless electric properties tomography
• [physics.soc-ph]Probing the robustness of nested multi-layer networks
• [q-bio.QM]AITom: Open-source AI platform for cryo-electron Tomography data analysis
• [quant-ph]Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination
• [quant-ph]Towards local testability for quantum coding
• [stat.AP]Assessing soundscape disturbance through hierarchical models and acoustic indices: a case study on a shelterwood logged northern Michigan forest
• [stat.AP]Convex Hierarchical Clustering for Graph-Structured Data
• [stat.AP]Dynamic Connectivity without Sliding Windows
• [stat.AP]Hierarchical Clustering for Smart Meter Electricity Loads based on Quantile Autocovariances
• [stat.AP]Hierarchical network design for nitrogen dioxide measurement in urban environments, part 1: proxy selection
• [stat.AP]Hierarchical network design for nitrogen dioxide measurement in urban environments, part 2: network-based sensor calibration
• [stat.AP]Low-cost sensor networks and land-use regression: interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California
• [stat.AP]Modeling Material Stress Using Integrated Gaussian Markov Random Fields
• [stat.AP]Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results
• [stat.CO]Normal variance mixtures: Distribution, density and parameter estimation
• [stat.ME]A multiple testing framework for diagnostic accuracy studies with co-primary endpoints
• [stat.ME]Balancing covariates in randomized experiments using the Gram-Schmidt walk
• [stat.ME]Data transforming augmentation for heteroscedastic models
• [stat.ME]Estimation of Spatial Deformation for Nonstationary Processes via Variogram Alignment
• [stat.ME]Improving Power of 2-Sample Random Graph Tests with Applications in Connectomics
• [stat.ME]Scalable Algorithms for Large Competing Risks Data
• [stat.ML]A Binary Regression Adaptive Goodness-of-fit Test (BAGofT)
• [stat.ML]Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization
• [stat.ML]Confidence Intervals for Policy Evaluation in Adaptive Experiments
• [stat.ML]Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings
• [stat.ML]Ground Metric Learning on Graphs
• [stat.ML]Imperceptible Adversarial Attacks on Tabular Data
• [stat.ML]Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers
• [stat.ML]Subspace Clustering with Active Learning
• [stat.ML]Theoretical Guarantees for Model Auditing with Finite Adversaries
• [stat.ML]Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
·····································
• [astro-ph.SR]Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field
Eurico Covas
http://arxiv.org/abs/1911.03193v1
• [cs.AI]A Cooperative Coordination Solver for Travelling Thief Problems
Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar
http://arxiv.org/abs/1911.03124v1
• [cs.AI]A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness
Mohammad Yaghini, Hoda Heidari, Andreas Krause
http://arxiv.org/abs/1911.03020v1
• [cs.AI]A different take on the best-first game tree pruning algorithms
Ishan Srivastava
http://arxiv.org/abs/1911.03388v1
• [cs.AI]AI Ethics for Systemic Issues: A Structural Approach
Agnes Schim van der Loeff, Iggy Bassi, Sachin Kapila, Jevgenij Gamper
http://arxiv.org/abs/1911.03216v1
• [cs.AI]Hierarchical Finite State Controllers for Generalized Planning
Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
http://arxiv.org/abs/1911.02887v1
• [cs.CG]Persistent Homology as Stopping-Criterion for Natural Neighbor Interpolation
Luciano Melodia, Richard Lenz
http://arxiv.org/abs/1911.02922v1
• [cs.CL]A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models
Chris Kedzie, Kathleen McKeown
http://arxiv.org/abs/1911.03373v1
• [cs.CL]Ask to Learn: A Study on Curiosity-driven Question Generation
Thomas Scialom, Jacopo Staiano
http://arxiv.org/abs/1911.03350v1
• [cs.CL]Char-RNN and Active Learning for Hashtag Segmentation
Taisiya Glushkova, Ekaterina Artemova
http://arxiv.org/abs/1911.03270v1
• [cs.CL]Comparison of Machine Learning Based Methods Used in Bengali Question Classification
Afra Anika, Md. Hasibur Rahman, Dr. Salekul Islam, Abu Shafin Mohammad Mahdee Jameel, Chowdhury Rafeed Rahman
http://arxiv.org/abs/1911.03059v1
• [cs.CL]Composing and Embedding the Words-as-Classifiers Model of Grounded Semantics
Daniele Moro, Stacy Black, Casey Kennington
http://arxiv.org/abs/1911.03283v1
• [cs.CL]Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering
Jinhyuk Lee, Minjoon Seo, Hannaneh Hajishirzi, Jaewoo Kang
http://arxiv.org/abs/1911.02896v1
• [cs.CL]Crowdsourcing a High-Quality Gold Standard for QA-SRL
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
http://arxiv.org/abs/1911.03243v1
• [cs.CL]Domain Robustness in Neural Machine Translation
Mathias Müller, Annette Rios, Rico Sennrich
http://arxiv.org/abs/1911.03109v1
• [cs.CL]ERASER: A Benchmark to Evaluate Rationalized NLP Models
Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace
http://arxiv.org/abs/1911.03429v1
• [cs.CL]Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates
Javier Iranzo-Sánchez, Joan Albert Silvestre-Cerdà, Javier Jorge, Nahuel Roselló, Adrià Giménez, Albert Sanchis, Jorge Civera, Alfons Juan
http://arxiv.org/abs/1911.03167v1
• [cs.CL]How Language-Neutral is Multilingual BERT?
Jindřich Libovický, Rudolf Rosa, Alexander Fraser
http://arxiv.org/abs/1911.03310v1
• [cs.CL]How to Do Simultaneous Translation Better with Consecutive Neural Machine Translation?
Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, Qun Liu
http://arxiv.org/abs/1911.03154v1
• [cs.CL]Interactive Refinement of Cross-Lingual Word Embeddings
Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan Boyd-Graber
http://arxiv.org/abs/1911.03070v1
• [cs.CL]Investigation of Error Simulation Techniques for Learning Dialog Policies for Conversational Error Recovery
Maryam Fazel-Zarandi, Longshaokan Wang, Aditya Tiwari, Spyros Matsoukas
http://arxiv.org/abs/1911.03378v1
• [cs.CL]Low-Level Linguistic Controls for Style Transfer and Content Preservation
Katy Gero, Chris Kedzie, Jonathan Reeve, Lydia Chilton
http://arxiv.org/abs/1911.03385v1
• [cs.CL]Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages
Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber
http://arxiv.org/abs/1911.03329v1
• [cs.CL]Negated LAMA: Birds cannot fly
Nora Kassner, Hinrich Schütze
http://arxiv.org/abs/1911.03343v1
• [cs.CL]Neural Graph Embedding methods for Natural Language Processing
Shikhar Vashishth
http://arxiv.org/abs/1911.03042v1
• [cs.CL]Not Enough Data? Deep Learning to the Rescue!
Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling
http://arxiv.org/abs/1911.03118v1
• [cs.CL]Open Domain Web Keyphrase Extraction Beyond Language Modeling
Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk
http://arxiv.org/abs/1911.02671v1
• [cs.CL]Porous Lattice-based Transformer Encoder for Chinese NER
Xue Mengge, Yu Bowen, Liu Tingwen, Wang Bin, Meng Erli, Li Quangang
http://arxiv.org/abs/1911.02733v1
• [cs.CL]Pretrained Language Models for Document-Level Neural Machine Translation
Liangyou Li, Xin Jiang, Qun Liu
http://arxiv.org/abs/1911.03110v1
• [cs.CL]Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce
Zhenxin Fu, Feng Ji, Wenpeng Hu, Wei Zhou, Dongyan Zhao, Haiqing Chen, Rui Yan
http://arxiv.org/abs/1911.02747v1
• [cs.CL]Question Generation from Paragraphs: A Tale of Two Hierarchical Models
Vishwajeet Kumar, Raktim Chaki, Sai Teja Talluri, Ganesh Ramakrishnan, Yuan-Fang Li, Gholamreza Haffari
http://arxiv.org/abs/1911.03407v1
• [cs.CL]Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
http://arxiv.org/abs/1911.03064v1
• [cs.CL]Relation Adversarial Network for Low Resource KnowledgeGraph Completion
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoayan Chen, Wei Zhang, Huajun Chen
http://arxiv.org/abs/1911.03091v1
• [cs.CL]Resurrecting Submodularity in Neural Abstractive Summarization
Simeng Han, Xiang Lin, Shafiq Joty
http://arxiv.org/abs/1911.03014v1
• [cs.CL]SEPT: Improving Scientific Named Entity Recognition with Span Representation
Tan Yan, Heyan Huang, Xian-Ling Mao
http://arxiv.org/abs/1911.03353v1
• [cs.CL]SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
http://arxiv.org/abs/1911.03437v1
• [cs.CL]Should All Cross-Lingual Embeddings Speak English?
Antonios Anastasopoulos, Graham Neubig
http://arxiv.org/abs/1911.03058v1
• [cs.CL]The TechQA Dataset
Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, Scott McCarley, Mike McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avirup Sil, Rosario Uceda-Sosa, Todd Ward, Rong Zhang
http://arxiv.org/abs/1911.02984v1
• [cs.CL]Transforming Wikipedia into Augmented Data for Query-Focused Summarization
Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu
http://arxiv.org/abs/1911.03324v1
• [cs.CL]Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator
Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan
http://arxiv.org/abs/1911.03047v1
• [cs.CL]What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning
Jaejun Lee, Raphael Tang, Jimmy Lin
http://arxiv.org/abs/1911.03090v1
• [cs.CL]Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization
Hongfei Xu, Qiuhui Liu, Josef van Genabith, Jingyi Zhang
http://arxiv.org/abs/1911.03179v1
• [cs.CL]iSarcasm: A Dataset of Intended Sarcasm
Silviu Oprea, Walid Magdy
http://arxiv.org/abs/1911.03123v1
• [cs.CR]Blockchain for Future Smart Grid: A Comprehensive Survey
Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato, Kwok-Yan Lam, Xin Zhang, Amer M. Y. M. Ghias, Leong Hai Koh, Lei Yang
http://arxiv.org/abs/1911.03298v1
• [cs.CR]Revocable Federated Learning: A Benchmark of Federated Forest
Yang Liu, Zhuo Ma, Ximeng Liu, Zhuzhu Wang, Siqi Ma, Ken Ren
http://arxiv.org/abs/1911.03242v1
• [cs.CV]A Novel Approach for Partial Fingerprint Identification to Mitigate MasterPrint Generation
Mahesh Joshi, Bodhisatwa Mazumdar, Somnath Dey
http://arxiv.org/abs/1911.03052v1
• [cs.CV]Are we asking the right questions in MovieQA?
Bhavan Jasani, Rohit Girdhar, Deva Ramanan
http://arxiv.org/abs/1911.03083v1
• [cs.CV]Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays
http://arxiv.org/abs/1911.02620v1
• [cs.CV]Automatic Identification of Traditional Colombian Music Genres based on Audio Content Analysis and Machine Learning Technique
Diego A. Cruz, Sergio S. Lopez, Jorge E. Camargo
http://arxiv.org/abs/1911.03372v1
• [cs.CV]Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding
Yilei Shi, Qingyu Li, Xiao Xiang Zhu
http://arxiv.org/abs/1911.03165v1
• [cs.CV]Content-Consistent Generation of Realistic Eyes with Style
Marcel Bühler, Seonwook Park, Shalini De Mello, Xucong Zhang, Otmar Hilliges
http://arxiv.org/abs/1911.03346v1
• [cs.CV]Deep, robust and single shot 3D multi-person human pose estimation in complex images
Abdallah Benzine, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard
http://arxiv.org/abs/1911.03391v1
• [cs.CV]Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition
Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman
http://arxiv.org/abs/1911.03341v1
• [cs.CV]Dynamic Multi-Task Learning for Face Recognition with Facial Expression
Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman, Jean-Christophe Burie, Kaixing Zhao
http://arxiv.org/abs/1911.03281v1
• [cs.CV]Extracting temporal features into a spatial domain using autoencoders for sperm video analysis
Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen
http://arxiv.org/abs/1911.03100v1
• [cs.CV]Model Adaption Object Detection System for Robot
Jingwen Fu, Licheng Zong, Yinbing Li, Bingqian Yang, Ke Li, Xibei Liu
http://arxiv.org/abs/1911.02718v1
• [cs.CV]Quality Aware Generative Adversarial Networks
Parimala Kancharla, Sumohana S. Channappayya
http://arxiv.org/abs/1911.03149v1
• [cs.CV]RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas Li, Ge Li
http://arxiv.org/abs/1911.03029v1
• [cs.CY]Fair Allocation through Selective Information Acquisition
William Cai, Johann Gaebler, Nikhil Garg, Sharad Goel
http://arxiv.org/abs/1911.02715v1
• [cs.DB]PnyxDB: a Lightweight Leaderless Democratic Byzantine Fault Tolerant Replicated Datastore
Loïck Bonniot, Christoph Neumann, François Taïani
http://arxiv.org/abs/1911.03291v1
• [cs.DC]A Survey on Edge Computing Systems and Tools
Fang Liu, Guoming Tang, Youhuizi Li, Zhiping Cai, Xingzhou Zhang, Tongqing Zhou
http://arxiv.org/abs/1911.02794v1
• [cs.DC]CFS: A Distributed File System for Large Scale Container Platforms
Haifeng Liu, Wei Ding, Yuan Chen, Weilong Guo, Shuoran Liu, Tianpeng Li, Mofei Zhang, Jianxing Zhao, Hongyin Zhu, Zhengyi Zhu
http://arxiv.org/abs/1911.03001v1
• [cs.DC]Lock-Free Hopscotch Hashing
Robert Kelly, Barak A. Pearlmutter, Phil Maguire
http://arxiv.org/abs/1911.03028v1
• [cs.DC]MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent
Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
http://arxiv.org/abs/1911.03444v1
• [cs.DC]Quality of Service (QoS) Modelling in Federated Cloud Computing
Kun Ma, Antoine Bagula, Olasupo Ajayi
http://arxiv.org/abs/1911.03051v1
• [cs.DL]Perspectives on urban theories
Denise Pumain, Juste Raimbault
http://arxiv.org/abs/1911.02854v1
• [cs.DS]Distributed MST: A Smoothed Analysis
Soumyottam Chatterjee, Gopal Pandurangan, Nguyen Dinh Pham
http://arxiv.org/abs/1911.02628v1
• [cs.DS]Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds
Rong Ge, Holden Lee, Jianfeng Lu
http://arxiv.org/abs/1911.03043v1
• [cs.DS]Local Search for Group Closeness Maximization on Big Graphs
Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke
http://arxiv.org/abs/1911.03360v1
• [cs.GT]Neural Networks for Predicting Human Interactions in Repeated Games
Yoav Kolumbus, Gali Noti
http://arxiv.org/abs/1911.03233v1
• [cs.IR]CROWN: Conversational Passage Ranking by Reasoning over Word Networks
Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
http://arxiv.org/abs/1911.02850v1
• [cs.IR]Cross-Lingual Relevance Transfer for Document Retrieval
Peng Shi, Jimmy Lin
http://arxiv.org/abs/1911.02989v1
• [cs.IT]A Gated Hypernet Decoder for Polar Codes
Eliya Nachmani, Lior Wolf
http://arxiv.org/abs/1911.03229v1
• [cs.IT]CPM Training Waveforms With Autocorrelation Sidelobes Close To Zero
Zilong Liu, Yong Liang Guan, Chee-Cheon Chui
http://arxiv.org/abs/1911.03312v1
• [cs.IT]Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications
Zhaorui Wang, Liang Liu, Shuguang Cui
http://arxiv.org/abs/1911.03084v1
• [cs.IT]Constacyclic codes of length $4p^s$ over the Galois ring $GR(p^a,m)$
Om Prakash, Habibul Islam, Ram Krishna Verma
http://arxiv.org/abs/1911.03089v1
• [cs.IT]Deriving pairwise transfer entropy from network structure and motifs
Leonardo Novelli, Fatihcan M. Atay, Jürgen Jost, Joseph T. Lizier
http://arxiv.org/abs/1911.02931v1
• [cs.IT]Error Correction for Partially Stuck Memory Cells
Haider Al Kim, Sven Puchinger, Antonia Wachter-Zeh
http://arxiv.org/abs/1911.02904v1
• [cs.IT]Learning Connectivity and Higher-order Interactions in Radial Distribution Grids
Qiuling Yang, Mario Coutino, Gang Wang, Georgios B. Giannakis, Geert Leus
http://arxiv.org/abs/1911.03072v1
• [cs.IT]Low Latency Decoder for Short Blocklength Polar Codes
Heshani Gamage, Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho
http://arxiv.org/abs/1911.03201v1
• [cs.IT]Maximum Likelihood Decoding of Convolutionally Coded Noncoherent ASK Signals in AWGN Channels
Arafat Al-Dweik, Fuqin Xiong
http://arxiv.org/abs/1911.03079v1
• [cs.IT]Optimal Z-complementary Code Set From Generalized Reed-Muller Codes
Palash Sarkar, Sudhan Majhi, Zilong Liu
http://arxiv.org/abs/1911.03313v1
• [cs.IT]Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
http://arxiv.org/abs/1911.03038v1
• [cs.LG]$H_\inf$ Model-free Reinforcement Learning with Robust Stability Guarantee
Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan
http://arxiv.org/abs/1911.02875v1
• [cs.LG]Adaptive Kernel Value Caching for SVM Training
Qinbin Li, Zeyi Wen, Bingsheng He
http://arxiv.org/abs/1911.03011v1
• [cs.LG]Advances in Machine Learning for the Behavioral Sciences
Tomáš Kliegr, Štěpán Bahník, Johannes Fürnkranz
http://arxiv.org/abs/1911.03249v1
• [cs.LG]An Experimental Comparison of Old and New Decision Tree Algorithms
Arman Zharmagambetov, Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán
http://arxiv.org/abs/1911.03054v1
• [cs.LG]AutoIDS: Auto-encoder Based Method for Intrusion Detection System
Mohammed Gharib, Bahram Mohammadi, Shadi Hejareh Dastgerdi, Mohammad Sabokrou
http://arxiv.org/abs/1911.03306v1
• [cs.LG]Certified Data Removal from Machine Learning Models
Chuan Guo, Tom Goldstein, Awni Hannun, Laurens van der Maaten
http://arxiv.org/abs/1911.03030v1
• [cs.LG]Collapse Resistant Deep Convolutional GAN for Multi-Object Image Generation
Elijah D. Bolluyt, Cristina Comaniciu
http://arxiv.org/abs/1911.02996v1
• [cs.LG]Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha Talukdar
http://arxiv.org/abs/1911.03082v1
• [cs.LG]Data Generation for Neural Programming by Example
Judith Clymo, Haik Manukian, Nathanaël Fijalkow, Adrià Gascón, Brooks Paige
http://arxiv.org/abs/1911.02624v1
• [cs.LG]Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network
Chao Wang, Yi Hou, Matthew Barth
http://arxiv.org/abs/1911.03441v1
• [cs.LG]Deep geometric knowledge distillation with graphs
Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
http://arxiv.org/abs/1911.03080v1
• [cs.LG]Discovering Invariances in Healthcare Neural Networks
Mohammad Taha Bahadori, Layne C. Price
http://arxiv.org/abs/1911.03295v1
• [cs.LG]Electric Analog Circuit Design with Hypernetworks and a Differential Simulator
Michael Rotman, Lior Wolf
http://arxiv.org/abs/1911.03053v1
• [cs.LG]FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things
Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini
http://arxiv.org/abs/1911.03314v1
• [cs.LG]Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning
Matt Benatan, Edward O. Pyzer-Knapp
http://arxiv.org/abs/1911.03308v1
• [cs.LG]Inference with Deep Generative Priors in High Dimensions
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
http://arxiv.org/abs/1911.03409v1
• [cs.LG]Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
Shuo Yang, Yanyao Shen, Sujay Sanghavi
http://arxiv.org/abs/1911.03034v1
• [cs.LG]Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning
Nicolas Lair, Cédric Colas, Rémy Portelas, Jean-Michel Dussoux, Peter Ford Dominey, Pierre-Yves Oudeyer
http://arxiv.org/abs/1911.03219v1
• [cs.LG]Macro F1 and Macro F1
Juri Opitz, Sebastian Burst
http://arxiv.org/abs/1911.03347v1
• [cs.LG]Memory Augmented Recursive Neural Networks
Forough Arabshahi, Zhichu Lu, Sameer Singh, Animashree Anandkumar
http://arxiv.org/abs/1911.01545v2
• [cs.LG]Penalty Method for Inversion-Free Deep Bilevel Optimization
Akshay Mehra, Jihun Hamm
http://arxiv.org/abs/1911.03432v1
• [cs.LG]Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent
Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski, Michel Dumontier, Lianne Ippel
http://arxiv.org/abs/1911.03183v1
• [cs.LG]Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study
Mohammad Mahdi Bejani, Mehdi Ghatee
http://arxiv.org/abs/1911.03010v1
• [cs.LG]SENSE: Semantically Enhanced Node Sequence Embedding
Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwon, Graham Bent, Christopher Simpkin
http://arxiv.org/abs/1911.02970v1
• [cs.LG]Sequence-Aware Factorization Machines for Temporal Predictive Analytics
Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou
http://arxiv.org/abs/1911.02752v1
• [cs.LG]Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning
Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie
http://arxiv.org/abs/1911.03222v1
• [cs.LG]Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions
Emily L. Aiken, Andre T. Nguyen, Mauricio Santillana
http://arxiv.org/abs/1911.02673v1
• [cs.LG]Unified Sample-Optimal Property Estimation in Near-Linear Time
Yi Hao, Alon Orlitsky
http://arxiv.org/abs/1911.03105v1
• [cs.NE]A New Interactive Mathematical Modeling — Artificial Neural Network Method for the Problems with a Limited Learning Data Set
Szymon Buchaniec, Marek Gnatowski, Grzegorz Brus
http://arxiv.org/abs/1911.03404v1
• [cs.NE]A Numerical Study of the Time of Extinction in a Class of Systems of Spiking Neurons
Cecilia Romaro, Fernando Araujo Najman, Morgan André
http://arxiv.org/abs/1911.02609v1
• [cs.NE]Feature discriminativity estimation in CNNs for transfer learning
Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla, Jesus Labarta, Eduard Ayguadé
http://arxiv.org/abs/1911.03332v1
• [cs.NE]Towards Monitoring Parkinson’s Disease Following Drug Treatment: CGP Classification of rs-MRI Data
Amir Dehsarvi, Jennifer Kay South Palomares, Stephen Leslie Smith
http://arxiv.org/abs/1911.03439v1
• [cs.NI]Energy and Social Cost Minimization for Data Dissemination in Wireless Networks: Centralized and Decentralized Approaches
Mahdi Mousavi, Anja Klein
http://arxiv.org/abs/1911.02607v1
• [cs.PF]The Pitfall of Evaluating Performance on Emerging AI Accelerators
Zihan Jiang, Jiansong Li, Jiangfeng Zhan
http://arxiv.org/abs/1911.02987v1
• [cs.PL]ROSY: An elegant language to teach the pure reactive nature of robot programming
Hugo Pacheco, Nuno Macedo
http://arxiv.org/abs/1911.03262v1
• [cs.RO]Accurate Vision-based Manipulation through Contact Reasoning
Alina Kloss, Maria Bauza, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg
http://arxiv.org/abs/1911.03112v1
• [cs.RO]Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance
M. Asif Rana, Daphne Chen, S. Reza Ahmadzadeh, Jacob Williams, Vivian Chu, Sonia Chernova
http://arxiv.org/abs/1911.02725v1
• [cs.RO]Building an Aerial-Ground Robotics System for Precision Farming
Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popović, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan Nieto
http://arxiv.org/abs/1911.03098v1
• [cs.RO]Haptic Teleoperation of UAVs through Control Barrier Functions
Dawei Zhang, Guang Yang, Rebecca P. Khurshid
http://arxiv.org/abs/1911.03418v1
• [cs.RO]LiDAR Enhanced Structure-from-Motion
Weikun Zhen, Yaoyu Hu, Huai Yu, Sebastian Scherer
http://arxiv.org/abs/1911.03369v1
• [cs.RO]Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans
Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jagersand
http://arxiv.org/abs/1911.03074v1
• [cs.RO]**Time-Dependent Hybrid-State A and Optimal Control for Autonomous Vehicles in Arbitrary and Dynamic Environment
Andreas Folkers, Matthias Rick, Christof Büskens
http://arxiv.org/abs/1911.03139v1
• [cs.SI]Characterizing behavioral trends in a community driven discussion platform
Sachin Thukral, Arnab Chatterjee, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Lipika Dey
http://arxiv.org/abs/1911.02771v1
• [cs.SI]Mining Bursting Communities in Temporal Graphs
Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Ye Yuan, Zhiwei Zhang
http://arxiv.org/abs/1911.02780v1
• [cs.SI]Online Learning and Optimization Under a New Linear-Threshold Model with Negative Influence
Shuoguang Yang, Shatian Wang, Van-Anh Truong
http://arxiv.org/abs/1911.03276v1
• [eess.AS]Adversarial Attacks on GMM i-vector based Speaker Verification Systems
Xu Li, Jinghua Zhong, Xixin Wu, Jianwei Yu, Xunying Liu, Helen Meng
http://arxiv.org/abs/1911.03078v1
• [eess.IV]Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image
Chi Ding, Zheng Cao, Matthew S. Emigh, Jose C. Principe, Bing Ouyang, Anni Vuorenkoski, Fraser Dalgleish, Brian Ramos, Yanjun Li
http://arxiv.org/abs/1911.03267v1
• [eess.IV]Stacked dense optical flows and dropout layers to predict sperm motility and morphology
Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen
http://arxiv.org/abs/1911.03086v1
• [eess.SP]A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables
Bruno Scalzo Dees, Danilo P. Mandic
http://arxiv.org/abs/1911.02915v1
• [eess.SP]AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application
Attayeb Mohsen, Muftah Al-Mahdawi, Mostafa M. Fouda, Mikihiko Oogane, Yasuo Ando, Zubair Md Fadlullah
http://arxiv.org/abs/1911.03127v1
• [eess.SY]Beacon-referenced Pursuit for Collective Motions in Three Dimensions
Kevin S. Galloway, Biswadip Dey
http://arxiv.org/abs/1911.02895v1
• [eess.SY]Non-parametric Probabilistic Load Flow using Gaussian Process Learning
Parikshit Pareek, Chuan Wang, Hung D. Nguyen
http://arxiv.org/abs/1911.03093v1
• [eess.SY]Online Gaussian Process learning-based Model Predictive Control with Stability Guarantees
Michael Maiworm, Daniel Limon, Rolf Findeisen
http://arxiv.org/abs/1911.03315v1
• [eess.SY]Statistical Learning for Analysis of Networked Control Systems over Unknown Channels
Konstantinos Gatsis, George J. Pappas
http://arxiv.org/abs/1911.03422v1
• [math.CO]Combining subspace codes
Antonio Cossidente, Sascha Kurz, Giuseppe Marino, Francesco Pavese
http://arxiv.org/abs/1911.03387v1
• [math.OC]High-dimensional Black-box Optimization Under Uncertainty
Hadis Anahideh, Jay Rosenberger, Victoria Chen
http://arxiv.org/abs/1911.02457v2
• [math.OC]Learning-Accelerated ADMM for Distributed Optimal Power Flow
Dave Biagioni, Peter Graf, Xiangyu Zhang, Jennifer King
http://arxiv.org/abs/1911.03019v1
• [physics.chem-ph]Machine learning for molecular simulation
Frank Noé, Alexandre Tkatchenko, Klaus-Robert Müller, Cecilia Clementi
http://arxiv.org/abs/1911.02792v1
• [physics.comp-ph]Digital Blood in Massively Parallel CPU/GPU Systems for the Study of Platelet Transport
Christos Kotsalos, Jonas Latt, Joel Beny, Bastien Chopard
http://arxiv.org/abs/1911.03062v1
• [physics.med-ph]Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger
http://arxiv.org/abs/1911.03022v1
• [physics.med-ph]Uncertainty propagation in phaseless electric properties tomography
Alessandro Arduino, Oriano Bottauscio, Mario Chiampi, Luca Zilberti
http://arxiv.org/abs/1911.02809v1
• [physics.soc-ph]Probing the robustness of nested multi-layer networks
Giona Casiraghi, Antonios Garas, Frank Schweitzer
http://arxiv.org/abs/1911.03277v1
• [q-bio.QM]AITom: Open-source AI platform for cryo-electron Tomography data analysis
Xiangrui Zeng, Min Xu
http://arxiv.org/abs/1911.03044v1
• [quant-ph]Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination
Yaroslav Koshka, M. A. Novotny
http://arxiv.org/abs/1911.03338v1
• [quant-ph]Towards local testability for quantum coding
Anthony Leverrier, Vivien Londe, Gilles Zémor
http://arxiv.org/abs/1911.03069v1
• [stat.AP]Assessing soundscape disturbance through hierarchical models and acoustic indices: a case study on a shelterwood logged northern Michigan forest
Jeffrey W. Doser, Andrew O. Finley, Eric P. Kasten, Stuart H. Gage
http://arxiv.org/abs/1911.03278v1
• [stat.AP]Convex Hierarchical Clustering for Graph-Structured Data
Claire Donnat, Susan Holmes
http://arxiv.org/abs/1911.03417v1
• [stat.AP]Dynamic Connectivity without Sliding Windows
Shih-Gu Huang, Moo K. Chung, Ian C. Carroll, H. Hill Goldsmith
http://arxiv.org/abs/1911.02731v1
• [stat.AP]Hierarchical Clustering for Smart Meter Electricity Loads based on Quantile Autocovariances
Andrés M. Alonso, F. Javier Nogales, Carlos Ruiz
http://arxiv.org/abs/1911.03336v1
• [stat.AP]Hierarchical network design for nitrogen dioxide measurement in urban environments, part 1: proxy selection
Lena Weissert, Georgia Miskell, Elaine Miles, Kyle Alberti, Brandon Feenstra, Hamesh Patel, Vasileios Papapostolou, Andrea Polidori, Geoff S Henshaw, Jennifer A Salmond, David E Williams
http://arxiv.org/abs/1911.03137v1
• [stat.AP]Hierarchical network design for nitrogen dioxide measurement in urban environments, part 2: network-based sensor calibration
Lena Weissert, Elaine Miles, Georgia Miskell, Kyle Alberti, Brandon Feenstra, Geoff S Henshaw, Vasileios Papapostolou, Hamesh Patel, Andrea Polidori, Jennifer A Salmond, David E Williams
http://arxiv.org/abs/1911.03136v1
• [stat.AP]Low-cost sensor networks and land-use regression: interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California
Lena Weissert, Kyle Alberti, Elaine Miles, Georgia Miskell, Brandon Feenstra, Geoff S Henshaw, Vasileios Papapostolou, Hamesh Patel, Andrea Polidori, Jennifer A Salmond, David E Williams
http://arxiv.org/abs/1911.03130v1
• [stat.AP]Modeling Material Stress Using Integrated Gaussian Markov Random Fields
Peter W. Marcy, Scott A. Vander Wiel, Curtis B. Storlie, Veronica Livescu, Curt A. Bronkhorst
http://arxiv.org/abs/1911.02629v1
• [stat.AP]Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results
Jordanka Kovaceva, András Bálint, Ron Schindler, Anja Schneider
http://arxiv.org/abs/1911.02878v1
• [stat.CO]Normal variance mixtures: Distribution, density and parameter estimation
Erik Hints, Marius Hofert, Christiane Lemieux
http://arxiv.org/abs/1911.03017v1
• [stat.ME]A multiple testing framework for diagnostic accuracy studies with co-primary endpoints
Max Westphal, Antonia Zapf, Werner Brannath
http://arxiv.org/abs/1911.02982v1
• [stat.ME]Balancing covariates in randomized experiments using the Gram-Schmidt walk
Christopher Harshaw, Fredrik Sävje, Daniel Spielman, Peng Zhang
http://arxiv.org/abs/1911.03071v1
• [stat.ME]Data transforming augmentation for heteroscedastic models
Hyungsuk Tak, Kisung You, Sujit K. Ghosh, Bingyue Su, Joseph Kelly
http://arxiv.org/abs/1911.02748v1
• [stat.ME]Estimation of Spatial Deformation for Nonstationary Processes via Variogram Alignment
Ghulam A. Qadir, Ying Sun, Sebastian Kurtek
http://arxiv.org/abs/1911.02249v2
• [stat.ME]Improving Power of 2-Sample Random Graph Tests with Applications in Connectomics
Bijan Varjavand, Jesus Arroyo, Minh Tang, Carey E. Priebe, Joshua T. Vogelstein
http://arxiv.org/abs/1911.02741v1
• [stat.ME]Scalable Algorithms for Large Competing Risks Data
Eric S. Kawaguchi, Jenny I. Shen, Marc A. Suchard, Gang Li
http://arxiv.org/abs/1911.02720v1
• [stat.ML]A Binary Regression Adaptive Goodness-of-fit Test (BAGofT)
Jiawei Zhang, Jie Ding, Yuhong Yang
http://arxiv.org/abs/1911.03063v1
• [stat.ML]Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization
Zachary del Rosario, Yoolhee Kim, Matthias Rupp, Erin Antono, Julia Ling
http://arxiv.org/abs/1911.03224v1
• [stat.ML]Confidence Intervals for Policy Evaluation in Adaptive Experiments
Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey
http://arxiv.org/abs/1911.02768v1
• [stat.ML]Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings
Zhanhong Jiang, Young M. Lee
http://arxiv.org/abs/1911.03318v1
• [stat.ML]Ground Metric Learning on Graphs
Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré
http://arxiv.org/abs/1911.03117v1
• [stat.ML]Imperceptible Adversarial Attacks on Tabular Data
Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki
http://arxiv.org/abs/1911.03274v1
• [stat.ML]Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers
Joy Bose, Sumanta Mukherjee
http://arxiv.org/abs/1911.02991v1
• [stat.ML]Subspace Clustering with Active Learning
Hankui Peng, Nicos Pavlidis
http://arxiv.org/abs/1911.03299v1
• [stat.ML]Theoretical Guarantees for Model Auditing with Finite Adversaries
Mario Diaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar
http://arxiv.org/abs/1911.03405v1
• [stat.ML]Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
Yuge Shi, N. Siddharth, Brooks Paige, Philip H. S. Torr
http://arxiv.org/abs/1911.03393v1