cond-mat.stat-mech - 统计数学
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.DM - 离散数学 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 hep-th - 高能物理理论 math.FA - 泛函演算 math.OC - 优化与控制 math.PR - 概率 q-fin.PM - 投资组合管理 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
• [cond-mat.stat-mech]Asymptotically Unbiased Generative Neural Sampling
• [cs.AI]Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
• [cs.AI]Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data
• [cs.AI]Mathematical decisions and non-causal elements of explainable AI
• [cs.AI]Proceedings of the 4th Workshop on Formal Reasoning about Causation, Responsibility, and Explanations in Science and Technology
• [cs.AI]RBED: Reward Based Epsilon Decay
• [cs.AR]Scalable High Performance SDN Switch Architecture on FPGA for Core Networks
• [cs.CL]A Framework for Building Closed-Domain Chat Dialogue Systems
• [cs.CL]A Latent Morphology Model for Open-Vocabulary Neural Machine Translation
• [cs.CL]Adapting Multilingual Neural Machine Translation to Unseen Languages
• [cs.CL]An Augmented Transformer Architecture for Natural Language Generation Tasks
• [cs.CL]BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
• [cs.CL]Contrastive Attention Mechanism for Abstractive Sentence Summarization
• [cs.CL]Findings of the Third Workshop on Neural Generation and Translation
• [cs.CL]LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese
• [cs.CL]Let Me Know What to Ask: Interrogative-Word-Aware Question Generation
• [cs.CL]Let’s FACE it. Finnish Poetry Generation with Aesthetics and Framing
• [cs.CL]Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer
• [cs.CL]ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task
• [cs.CL]Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models
• [cs.CL]Quantifying the Semantic Core of Gender Systems
• [cs.CL]Time to Take Emoji Seriously: They Vastly Improve Casual Conversational Models
• [cs.CL]Toward Gender-Inclusive Coreference Resolution
• [cs.CR]Blockchain Based Secured E-voting by Using the Assistance of Smart Contract
• [cs.CR]Fault Tolerance of Neural Networks in Adversarial Settings
• [cs.CR]Forgotten @ Scale: A Practical Solution for Implementing the Right To Be Forgotten in Large-Scale Systems
• [cs.CR]IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
• [cs.CV]A CNN-based methodology for breast cancer diagnosis using thermal images
• [cs.CV]An α-Matte Boundary Defocus Model Based Cascaded Network for Multi-focus Image Fusion
• [cs.CV]Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles
• [cs.CV]Comprehensive Video Understanding: Video summarization with content-based video recommender design
• [cs.CV]Deep Learning vs. Traditional Computer Vision
• [cs.CV]Deep convolutional neural network application on rooftop detection for aerial image
• [cs.CV]Domain Generalization via Model-Agnostic Learning of Semantic Features
• [cs.CV]Dual Illumination Estimation for Robust Exposure Correction
• [cs.CV]Facial Image Deformation Based on Landmark Detection
• [cs.CV]MonSter: Awakening the Mono in Stereo
• [cs.CV]Multi Modal Semantic Segmentation using Synthetic Data
• [cs.CV]POIRot: A rotation invariant omni-directional pointnet
• [cs.CV]Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion
• [cs.CV]Real-time Convolutional Networks for Depth-based Human Pose Estimation
• [cs.CV]Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
• [cs.CY]Computer Assisted Access to Justice via Formal Jurisprudence Modeling
• [cs.DC]DBCSR: A Blocked Sparse Tensor Algebra Library
• [cs.DC]Parallel computing in automation of decoupled fluid-thermostructural simulation approach
• [cs.DM]Balancing Gaussian vectors in high dimension
• [cs.DS]Group Centrality Maximization for Large-scale Graphs
• [cs.GR]Neural View-Interpolation for Sparse LightField Video
• [cs.HC]Outliagnostics: Visualizing Temporal Discrepancy in Outlying Signatures of Data Entries
• [cs.IR]Balancing Multi-level Interactions for Session-based Recommendation
• [cs.IR]Towards a Model for Spoken Conversational Search
• [cs.IT]Algorithmic Randomness in Continuous-Time Markov Chains
• [cs.IT]Asymptotic Divergences and Strong Dichotomy
• [cs.IT]Finite Blocklength Allocation towards Robust Age-of-Information Optimization
• [cs.IT]Locally recoverable codes on surfaces
• [cs.IT]Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO
• [cs.IT]Machine-Learning Beam Tracking and Weight Optimization for mmWave Multi-UAV Links
• [cs.IT]Matching Capabilities of Prediction to Communication and Computing for Proactive VR Video Streaming
• [cs.IT]Off-the-grid Recovery of Time and Frequency Shifts with Multiple Measurement Vectors
• [cs.IT]Rate Analysis of Ultra-Reliable Low-Latency Communications in Random Wireless Networks
• [cs.IT]Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
• [cs.IT]The Tradeoff Between Coverage and Computation in Wireless Networks
• [cs.IT]UAV-enabled IoT Systems: NOMA or OMA?
• [cs.IT]Uplink NOMA for Cellular-Connected UAV: Impact of UAV Trajectories and Altitude
• [cs.IT]Uplink-Downlink Tradeoff in Secure Distributed Matrix Multiplication
• [cs.IT]Weighted matrix completion from non-random, non-uniform sampling patterns
• [cs.LG]A Classifiers Voting Model for Exit Prediction of Privately Held Companies
• [cs.LG]A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning
• [cs.LG]A Generalization of Principal Component Analysis
• [cs.LG]A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education
• [cs.LG]Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning
• [cs.LG]Bounding Data-driven Model Errors in Power Grid Analysis
• [cs.LG]Continuous Control with Contexts, Provably
• [cs.LG]DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning
• [cs.LG]Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning
• [cs.LG]Discriminant analysis based on projection onto generalized difference subspace
• [cs.LG]Dying Experts: Efficient Algorithms with Optimal Regret Bounds
• [cs.LG]Efficient Privacy-Preserving Nonconvex Optimization
• [cs.LG]Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
• [cs.LG]Function-Space Distributions over Kernels
• [cs.LG]G2SAT: Learning to Generate SAT Formulas
• [cs.LG]Generalization in multitask deep neural classifiers: a statistical physics approach
• [cs.LG]Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
• [cs.LG]Hidden Markov Models for sepsis detection in preterm infants
• [cs.LG]Input-Output Equivalence of Unitary and Contractive RNNs
• [cs.LG]Is Supervised Learning With Adversarial Features Provably Better Than Sole Supervision?
• [cs.LG]Learning Deterministic Weighted Automata with Queries and Counterexamples
• [cs.LG]Learning-Based Low-Rank Approximations
• [cs.LG]Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
• [cs.LG]Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
• [cs.LG]Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation
• [cs.LG]Ordered Memory
• [cs.LG]Quantum Optical Experiments Modeled by Long Short-Term Memory
• [cs.LG]Risk bounds for reservoir computing
• [cs.LG]Safe Exploration for Interactive Machine Learning
• [cs.LG]Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports
• [cs.LG]Structure of Deep Neural Networks with a Priori Information in Wireless Tasks
• [cs.LG]Training DNN IoT Applications for Deployment On Analog NVM Crossbars
• [cs.LG]Understanding the Role of Momentum in Stochastic Gradient Methods
• [cs.LG]Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning
• [cs.LG]Weight of Evidence as a Basis for Human-Oriented Explanations
• [cs.LG]When does Diversity Help Generalization in Classification Ensembles?
• [cs.MA]Interplay between Topology and Social Learning over Weak Graphs
• [cs.MA]Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization
• [cs.MA]Path Planning Games
• [cs.NI]Closed-Form Whittle’s Index-Enabled Random Access for Timely Status Update
• [cs.NI]The Internet of Things: a Survey and Outlook
• [cs.RO]A Tunably Compliant Origami Mechanism for Dynamically Dexterous Robots
• [cs.RO]Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly
• [cs.RO]Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB
• [cs.RO]Sim2real gap is non-monotonic with robot complexity for morphology-in-the-loop flapping wing design
• [cs.RO]Towards Scalable Continuous-Time Trajectory Optimization for Multi-Robot Navigation
• [cs.SD]Jointly optimal dereverberation and beamforming
• [cs.SD]SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition
• [cs.SE]Software defect prediction with zero-inflated Poisson models
• [eess.AS]Does Speech enhancement of publicly available data help build robust Speech Recognition Systems?
• [eess.AS]Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events
• [eess.AS]a novel cross-lingual voice cloning approach with a few text-free samples
• [eess.IV]C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network
• [eess.IV]Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System
• [eess.IV]LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images
• [eess.IV]The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
• [eess.SP]Block Error Performance of NOMA with HARQ-CC in Finite Blocklength
• [eess.SP]Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features
• [eess.SP]Positive Covert Capacity of the MIMO AWGN Channels
• [hep-th]The emergence of time
• [math.FA]Nonembeddability of Persistence Diagrams with $p>2$ Wasserstein Metric
• [math.OC]Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization
• [math.OC]Constrained Polynomial Likelihood
• [math.OC]UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
• [math.OC]Unifying mirror descent and dual averaging
• [math.PR]Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs
• [math.PR]Random concave functions
• [q-fin.PM]Find what you are looking for: A data-driven covariance matrix estimation
• [stat.AP]Fully Bayesian imputation model for non-random missing data in qPCR
• [stat.CO]An extended class of RC association models: definition and estimation
• [stat.ME]Irrational Exuberance: Correcting Bias in Probability Estimates
• [stat.ME]Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Adjustment for Additional Baseline Variables
• [stat.ME]RCRnorm: An integrated system of random-coefficient hierarchical regression models for normalizing NanoString nCounter data
• [stat.ME]Spectral Subsampling MCMC for Stationary Time Series
• [stat.ME]Tree-Structured Scale Effects in Binary and Ordinal Regression
• [stat.ML]Convolutional Conditional Neural Processes
• [stat.ML]Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting
• [stat.ML]Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation
• [stat.ML]Learning pairwise Markov network structures using correlation neighborhoods
• [stat.ML]Small-GAN: Speeding Up GAN Training Using Core-sets
• [stat.ML]Thompson Sampling via Local Uncertainty
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• [cond-mat.stat-mech]Asymptotically Unbiased Generative Neural Sampling
Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel
http://arxiv.org/abs/1910.13496v1
• [cs.AI]Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
Daniel Kumor, Bryant Chen, Elias Bareinboim
http://arxiv.org/abs/1910.13493v1
• [cs.AI]Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data
Qin Lin, Sicco Verwer, John Dolan
http://arxiv.org/abs/1910.13526v1
• [cs.AI]Mathematical decisions and non-causal elements of explainable AI
Atoosa Kasirzadeh
http://arxiv.org/abs/1910.13607v1
• [cs.AI]Proceedings of the 4th Workshop on Formal Reasoning about Causation, Responsibility, and Explanations in Science and Technology
Georgiana Caltais, Jean Krivine
http://arxiv.org/abs/1910.13641v1
• [cs.AI]RBED: Reward Based Epsilon Decay
Aakash Maroti
http://arxiv.org/abs/1910.13701v1
• [cs.AR]Scalable High Performance SDN Switch Architecture on FPGA for Core Networks
Sasindu Wijeratne, Ashen Ekanayake, Sandaruwan Jayaweera, Danuka Ravishan, Ajith Pasqual
http://arxiv.org/abs/1910.13683v1
• [cs.CL]A Framework for Building Closed-Domain Chat Dialogue Systems
Mikio Nakano, Kazunori Komatani
http://arxiv.org/abs/1910.13826v1
• [cs.CL]A Latent Morphology Model for Open-Vocabulary Neural Machine Translation
Duygu Ataman, Wilker Aziz, Alexandra Birch
http://arxiv.org/abs/1910.13890v1
• [cs.CL]Adapting Multilingual Neural Machine Translation to Unseen Languages
Surafel M. Lakew, Alina Karakanta, Marcello Federico, Matteo Negri, Marco Turchi
http://arxiv.org/abs/1910.13998v1
• [cs.CL]An Augmented Transformer Architecture for Natural Language Generation Tasks
Hailiang Li, Adele Y. C. Wang, Yang Liu, Du Tang, Zhibin Lei, Wenye Li
http://arxiv.org/abs/1910.13634v1
• [cs.CL]BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, Luke Zettlemoyer
http://arxiv.org/abs/1910.13461v1
• [cs.CL]Contrastive Attention Mechanism for Abstractive Sentence Summarization
Xiangyu Duan, Hoongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang
http://arxiv.org/abs/1910.13114v2
• [cs.CL]Findings of the Third Workshop on Neural Generation and Translation
Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh
http://arxiv.org/abs/1910.13299v2
• [cs.CL]LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese
Binh Duc Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
http://arxiv.org/abs/1910.13732v1
• [cs.CL]Let Me Know What to Ask: Interrogative-Word-Aware Question Generation
Junmo Kang, Haritz Puerto San Roman, Sung-Hyon Myaeng
http://arxiv.org/abs/1910.13794v1
• [cs.CL]Let’s FACE it. Finnish Poetry Generation with Aesthetics and Framing
Mika Hämäläinen, Khalid Alnajjar
http://arxiv.org/abs/1910.13946v1
• [cs.CL]Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer
Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Pascale Fung
http://arxiv.org/abs/1910.13923v1
• [cs.CL]ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task
Ha Nguyen, Natalia Tomashenko, Marcely Zanon Boito, Antoine Caubriere, Fethi Bougares, Mickael Rouvier, Laurent Besacier, Yannick Esteve
http://arxiv.org/abs/1910.13689v1
• [cs.CL]Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models
Andriy Mulyar, Elliot Schumacher, Masoud Rouhizadeh, Mark Dredze
http://arxiv.org/abs/1910.13664v1
• [cs.CL]Quantifying the Semantic Core of Gender Systems
Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damián Blasi, Hanna Wallach
http://arxiv.org/abs/1910.13497v1
• [cs.CL]Time to Take Emoji Seriously: They Vastly Improve Casual Conversational Models
Pieter Delobelle, Bettina Berendt
http://arxiv.org/abs/1910.13793v1
• [cs.CL]Toward Gender-Inclusive Coreference Resolution
Yang Trista Cao, Hal Daumé III
http://arxiv.org/abs/1910.13913v1
• [cs.CR]Blockchain Based Secured E-voting by Using the Assistance of Smart Contract
Kazi Sadia, Md. Masuduzzaman, Rajib Kumar Paul, Anik Islam
http://arxiv.org/abs/1910.13635v1
• [cs.CR]Fault Tolerance of Neural Networks in Adversarial Settings
Vasisht Duddu, N. Rajesh Pillai, D. Vijay Rao, Valentina E. Balas
http://arxiv.org/abs/1910.13875v1
• [cs.CR]Forgotten @ Scale: A Practical Solution for Implementing the Right To Be Forgotten in Large-Scale Systems
Abigail Goldsteen, Tomer Douek, Yaniv Cohen, Igor Gokhman, Ofir Keren-Ackerman, Gadi Katsovich, Grisha Weintraub, Doron Ben-Ari
http://arxiv.org/abs/1910.13784v1
• [cs.CR]IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
http://arxiv.org/abs/1910.12903v2
• [cs.CV]A CNN-based methodology for breast cancer diagnosis using thermal images
Juan Zuluaga-Gomez, Zeina Al Masry, Khaled Benaggoune, Safa Meraghni, Noureddine Zerhouni
http://arxiv.org/abs/1910.13757v1
• [cs.CV]An α-Matte Boundary Defocus Model Based Cascaded Network for Multi-focus Image Fusion
Haoyu Ma, Qingmin Liao, Juncheng Zhang, Shaojun Liu, Jing-Hao Xue
http://arxiv.org/abs/1910.13136v2
• [cs.CV]Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles
Dror Simon, Miriam Farber, Roman Goldenberg
http://arxiv.org/abs/1910.13988v1
• [cs.CV]Comprehensive Video Understanding: Video summarization with content-based video recommender design
Yudong Jiang, Kaixu Cui, Bo Peng, Changliang Xu
http://arxiv.org/abs/1910.13888v1
• [cs.CV]Deep Learning vs. Traditional Computer Vision
Niall O’ Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Velasco-Hernandez, Lenka Krpalkova, Daniel Riordan, Joseph Walsh
http://arxiv.org/abs/1910.13796v1
• [cs.CV]Deep convolutional neural network application on rooftop detection for aerial image
Mengge Chen, Jonathan Li
http://arxiv.org/abs/1910.13509v1
• [cs.CV]Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou, Daniel C. Castro, Konstantinos Kamnitsas, Ben Glocker
http://arxiv.org/abs/1910.13580v1
• [cs.CV]Dual Illumination Estimation for Robust Exposure Correction
Qing Zhang, Yongwei Nie, Wei-Shi Zheng
http://arxiv.org/abs/1910.13688v1
• [cs.CV]Facial Image Deformation Based on Landmark Detection
Chaoyue Song, Yugang Chen, Shulai Zhang, Bingbing Ni
http://arxiv.org/abs/1910.13671v1
• [cs.CV]MonSter: Awakening the Mono in Stereo
Yotam Gil, Shay Elmalem, Harel Haim, Emanuel Marom, Raja Giryes
http://arxiv.org/abs/1910.13708v1
• [cs.CV]Multi Modal Semantic Segmentation using Synthetic Data
Kartik Srivastava, Akash Kumar Singh, Guruprasad M. Hegde
http://arxiv.org/abs/1910.13676v1
• [cs.CV]POIRot: A rotation invariant omni-directional pointnet
Liu Yang, Rudrasis Chakraborty, Stella X. Yu
http://arxiv.org/abs/1910.13050v2
• [cs.CV]Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion
Yuanhao Guo, Fons J. Verbeek, Ge Yang
http://arxiv.org/abs/1910.13740v1
• [cs.CV]Real-time Convolutional Networks for Depth-based Human Pose Estimation
Angel Martínez-González, Michael Villamizar, Olivier Canévet, Jean-Marc Odobez
http://arxiv.org/abs/1910.13911v1
• [cs.CV]Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
Priyadarshini Panda, Aparna Aketi, Kaushik Roy
http://arxiv.org/abs/1910.13931v1
• [cs.CY]Computer Assisted Access to Justice via Formal Jurisprudence Modeling
Michael Bar-Sinai, Michal Tadjer, Mor Vilozni
http://arxiv.org/abs/1910.13518v1
• [cs.DC]DBCSR: A Blocked Sparse Tensor Algebra Library
Ilia Sivkov, Patrick Seewald, Alfio Lazzaro, Juerg Hutter
http://arxiv.org/abs/1910.13555v1
• [cs.DC]Parallel computing in automation of decoupled fluid-thermostructural simulation approach
Janine Glänzel, Andreas Naumann, Tharun Suresh Kumar
http://arxiv.org/abs/1910.13939v1
• [cs.DM]Balancing Gaussian vectors in high dimension
Raghu Meka, Philippe Rigollet, Paxton Turner
http://arxiv.org/abs/1910.13972v1
• [cs.DS]Group Centrality Maximization for Large-scale Graphs
Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zügner, Stephan Günnemann, Henning Meyerhenke
http://arxiv.org/abs/1910.13874v1
• [cs.GR]Neural View-Interpolation for Sparse LightField Video
Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
http://arxiv.org/abs/1910.13921v1
• [cs.HC]Outliagnostics: Visualizing Temporal Discrepancy in Outlying Signatures of Data Entries
Vung Pham, Tommy Dang
http://arxiv.org/abs/1910.13656v1
• [cs.IR]Balancing Multi-level Interactions for Session-based Recommendation
Yujia Zheng, Siyi Liu, Zailei Zhou
http://arxiv.org/abs/1910.13527v1
• [cs.IR]Towards a Model for Spoken Conversational Search
Johanne R. Trippas, Damiano Spina, Paul Thomas, Mark Sanderson, Hideo Joho, Lawrence Cavedon
http://arxiv.org/abs/1910.13166v2
• [cs.IT]Algorithmic Randomness in Continuous-Time Markov Chains
Xiang Huang, Jack H. Lutz, Andrei N. Migunov
http://arxiv.org/abs/1910.13620v1
• [cs.IT]Asymptotic Divergences and Strong Dichotomy
Xiang Huang, Jack H. Lutz, Elvira Mayordomo, Donald M. Stull
http://arxiv.org/abs/1910.13615v1
• [cs.IT]Finite Blocklength Allocation towards Robust Age-of-Information Optimization
Bin Han, Zhiyuan Jiang, Yao Zhu, Hans D. Schotten
http://arxiv.org/abs/1910.14003v1
• [cs.IT]Locally recoverable codes on surfaces
Cecília Salgado, Anthony Várilly-Alvarado, José Felipe Voloch
http://arxiv.org/abs/1910.13472v1
• [cs.IT]Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO
Yi Song, Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire
http://arxiv.org/abs/1910.13795v1
• [cs.IT]Machine-Learning Beam Tracking and Weight Optimization for mmWave Multi-UAV Links
Hsiao-Lan Chiang, Kwang-Cheng Chen, Wolfgang Rave, Mostafa Khalili Marandi, Gerhard Fettweis
http://arxiv.org/abs/1910.13538v1
• [cs.IT]Matching Capabilities of Prediction to Communication and Computing for Proactive VR Video Streaming
Xing Wei, Chenyang Yang
http://arxiv.org/abs/1910.13884v1
• [cs.IT]Off-the-grid Recovery of Time and Frequency Shifts with Multiple Measurement Vectors
Maral Safari, Sajad Daei, Farzan Haddadi
http://arxiv.org/abs/1910.13821v1
• [cs.IT]Rate Analysis of Ultra-Reliable Low-Latency Communications in Random Wireless Networks
Jeonghun Park
http://arxiv.org/abs/1910.13868v1
• [cs.IT]Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
Larkin Flodin, Venkata Gandikota, Arya Mazumdar
http://arxiv.org/abs/1910.13971v1
• [cs.IT]The Tradeoff Between Coverage and Computation in Wireless Networks
Erdem Koyuncu
http://arxiv.org/abs/1910.13502v1
• [cs.IT]UAV-enabled IoT Systems: NOMA or OMA?
Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin
http://arxiv.org/abs/1910.13630v1
• [cs.IT]Uplink NOMA for Cellular-Connected UAV: Impact of UAV Trajectories and Altitude
Nilupuli Senadhira, Salman Durrani, Xiangyun Zhou, Nan Yang, Ming Ding
http://arxiv.org/abs/1910.13595v1
• [cs.IT]Uplink-Downlink Tradeoff in Secure Distributed Matrix Multiplication
Jaber Kakar, Anton Khristoforov, Seyedhamed Ebadifar, Aydin Sezgin
http://arxiv.org/abs/1910.13849v1
• [cs.IT]Weighted matrix completion from non-random, non-uniform sampling patterns
Simon Foucart, Deanna Needell, Reese Pathak, Yaniv Plan, Mary Wootters
http://arxiv.org/abs/1910.13986v1
• [cs.LG]A Classifiers Voting Model for Exit Prediction of Privately Held Companies
Giuseppe Carlo Calafiore, Marisa Hillary Morales, Vittorio Tiozzo, Serge Marquie
http://arxiv.org/abs/1910.13969v1
• [cs.LG]A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning
Ashutosh Singh, Abubakr Alabbasi, Vaneet Aggarwal
http://arxiv.org/abs/1910.14002v1
• [cs.LG]A Generalization of Principal Component Analysis
Samuele Battaglino, Erdem Koyuncu
http://arxiv.org/abs/1910.13511v1
• [cs.LG]A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education
Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea
http://arxiv.org/abs/1910.13561v1
• [cs.LG]Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning
Xin Qin, Nikos Aréchiga, Andrew Best, Jyotirmoy Deshmukh
http://arxiv.org/abs/1910.13645v1
• [cs.LG]Bounding Data-driven Model Errors in Power Grid Analysis
Yuxiao Liu, Bolun Xu, Audun Botterud, Ning Zhang, Chongqing Kang
http://arxiv.org/abs/1910.13613v1
• [cs.LG]Continuous Control with Contexts, Provably
Simon S. Du, Ruosong Wang, Mengdi Wang, Lin F. Yang
http://arxiv.org/abs/1910.13614v1
• [cs.LG]DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning
Michiel A. Bakker, Duy Patrick Tu, Humberto Riverón Valdés, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland
http://arxiv.org/abs/1910.13983v1
• [cs.LG]Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning
Sébastien M. R. Arnold, Shariq Iqbal, Fei Sha
http://arxiv.org/abs/1910.13603v1
• [cs.LG]Discriminant analysis based on projection onto generalized difference subspace
Kazuhiro Fukui, Naoya Sogi, Takumi Kobayashi, Jing-Hao Xue, Atsuto Maki
http://arxiv.org/abs/1910.13113v2
• [cs.LG]Dying Experts: Efficient Algorithms with Optimal Regret Bounds
Hamid Shayestehmanesh, Sajjad Azami, Nishant A. Mehta
http://arxiv.org/abs/1910.13521v1
• [cs.LG]Efficient Privacy-Preserving Nonconvex Optimization
Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu
http://arxiv.org/abs/1910.13659v1
• [cs.LG]Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
Tharun Medini, Qixuan Huang, Yiqiu Wang, Vijai Mohan, Anshumali Shrivastava
http://arxiv.org/abs/1910.13830v1
• [cs.LG]Function-Space Distributions over Kernels
Gregory W. Benton, Wesley J. Maddox, Jayson P. Salkey, Julio Albinati, Andrew Gordon Wilson
http://arxiv.org/abs/1910.13565v1
• [cs.LG]G2SAT: Learning to Generate SAT Formulas
Jiaxuan You, Haoze Wu, Clark Barrett, Raghuram Ramanujan, Jure Leskovec
http://arxiv.org/abs/1910.13445v1
• [cs.LG]Generalization in multitask deep neural classifiers: a statistical physics approach
Tyler Lee, Anthony Ndirango
http://arxiv.org/abs/1910.13593v1
• [cs.LG]Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
Pedro Mercado, Francesco Tudisco, Matthias Hein
http://arxiv.org/abs/1910.13951v1
• [cs.LG]Hidden Markov Models for sepsis detection in preterm infants
Antoine Honore, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund
http://arxiv.org/abs/1910.13904v1
• [cs.LG]Input-Output Equivalence of Unitary and Contractive RNNs
M. Emami, M. Sahraee-Ardakan, S. Rangan, A. K. Fletcher
http://arxiv.org/abs/1910.13672v1
• [cs.LG]Is Supervised Learning With Adversarial Features Provably Better Than Sole Supervision?
Litu Rout
http://arxiv.org/abs/1910.13993v1
• [cs.LG]Learning Deterministic Weighted Automata with Queries and Counterexamples
Gail Weiss, Yoav Goldberg, Eran Yahav
http://arxiv.org/abs/1910.13895v1
• [cs.LG]Learning-Based Low-Rank Approximations
Piotr Indyk, Ali Vakilian, Yang Yuan
http://arxiv.org/abs/1910.13984v1
• [cs.LG]Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe
http://arxiv.org/abs/1910.13598v1
• [cs.LG]Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
http://arxiv.org/abs/1910.13616v1
• [cs.LG]Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation
Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep Ravikumar
http://arxiv.org/abs/1910.13618v1
• [cs.LG]Ordered Memory
Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron Courville
http://arxiv.org/abs/1910.13466v1
• [cs.LG]Quantum Optical Experiments Modeled by Long Short-Term Memory
Thomas Adler, Manuel Erhard, Mario Krenn, Johannes Brandstetter, Johannes Kofler, Sepp Hochreiter
http://arxiv.org/abs/1910.13804v1
• [cs.LG]Risk bounds for reservoir computing
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
http://arxiv.org/abs/1910.13886v1
• [cs.LG]Safe Exploration for Interactive Machine Learning
Matteo Turchetta, Felix Berkenkamp, Andreas Krause
http://arxiv.org/abs/1910.13726v1
• [cs.LG]Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports
Neil Deshmukh, Bernardo Bizzo, Selin Gumustop, Romane Gauriau, Varun Buch, Bradley Wright, Christopher Bridge, Ram Naidu, Katherine Andriole
http://arxiv.org/abs/1910.13573v1
• [cs.LG]Structure of Deep Neural Networks with a Priori Information in Wireless Tasks
Jia Guo, Chenyang Yang
http://arxiv.org/abs/1910.13728v1
• [cs.LG]Training DNN IoT Applications for Deployment On Analog NVM Crossbars
Fernando García-Redondo, Shidhartha Das, Glen Rosalene
http://arxiv.org/abs/1910.13850v1
• [cs.LG]Understanding the Role of Momentum in Stochastic Gradient Methods
Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao
http://arxiv.org/abs/1910.13962v1
• [cs.LG]Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning
Guansong Pang, Anton van den Hengel, Chunhua Shen
http://arxiv.org/abs/1910.13601v1
• [cs.LG]Weight of Evidence as a Basis for Human-Oriented Explanations
David Alvarez-Melis, Hal Daumé III, Jennifer Wortman Vaughan, Hanna Wallach
http://arxiv.org/abs/1910.13503v1
• [cs.LG]When does Diversity Help Generalization in Classification Ensembles?
Yijun Bian, Huanhuan Chen
http://arxiv.org/abs/1910.13631v1
• [cs.MA]Interplay between Topology and Social Learning over Weak Graphs
Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed
http://arxiv.org/abs/1910.13905v1
• [cs.MA]Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization
Stefan Vlaski, Ali H. Sayed
http://arxiv.org/abs/1910.13852v1
• [cs.MA]Path Planning Games
Yi Li, Yevgeniy Vorobeychik
http://arxiv.org/abs/1910.13880v1
• [cs.NI]Closed-Form Whittle’s Index-Enabled Random Access for Timely Status Update
Jingzhou Sun, Zhiyuan Jiang, Bhaskar Krishnamachari, Sheng Zhou, Zhisheng Niu
http://arxiv.org/abs/1910.13871v1
• [cs.NI]The Internet of Things: a Survey and Outlook
Giovanni Perrone, Massimo Vecchio, Javier Del Ser, Fabio Antonelli, Vivart Kapoor
http://arxiv.org/abs/1910.13965v1
• [cs.RO]A Tunably Compliant Origami Mechanism for Dynamically Dexterous Robots
Wei-Hsi Chen, Shivangi Misra, Yuchong Gao, Young-Joo Lee, Daniel E. Koditschek, Shu Yang, Cynthia R. Sung
http://arxiv.org/abs/1910.13584v1
• [cs.RO]Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly
Kevin Zakka, Andy Zeng, Johnny Lee, Shuran Song
http://arxiv.org/abs/1910.13675v1
• [cs.RO]Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB
Felix Leeb, Arunkumar Byravan, Dieter Fox
http://arxiv.org/abs/1910.13942v1
• [cs.RO]Sim2real gap is non-monotonic with robot complexity for morphology-in-the-loop flapping wing design
Kent Rosser, Jia Kok, Javaan Chahl, Josh Bongard
http://arxiv.org/abs/1910.13790v1
• [cs.RO]Towards Scalable Continuous-Time Trajectory Optimization for Multi-Robot Navigation
Shravan Krishnan, Govind Aadithya Rajagopalan, Sivanathan Kandhasamy, Madhavan Shanmugavel
http://arxiv.org/abs/1910.13463v1
• [cs.SD]Jointly optimal dereverberation and beamforming
Christoph Boeddeker, Tomohiro Nakatani, Keisuke Kinoshita, Reinhold Haeb-Umbach
http://arxiv.org/abs/1910.13707v1
• [cs.SD]SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition
Lukas Drude, Jens Heitkaemper, Christoph Boeddeker, Reinhold Haeb-Umbach
http://arxiv.org/abs/1910.13934v1
• [cs.SE]Software defect prediction with zero-inflated Poisson models
Daniel Rodriguez, Javier Dolado, Javier Tuya, Dietmar Pfahl
http://arxiv.org/abs/1910.13717v1
• [eess.AS]Does Speech enhancement of publicly available data help build robust Speech Recognition Systems?
Bhavya Ghai, Buvana Ramanan, Klaus Mueller
http://arxiv.org/abs/1910.13488v1
• [eess.AS]Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events
Kazuki Shimada, Yuichiro Koyama, Akira Inoue
http://arxiv.org/abs/1910.13724v1
• [eess.AS]a novel cross-lingual voice cloning approach with a few text-free samples
Xinyong Zhou, Hao Che, Xiaorui Wang, Lei Xie
http://arxiv.org/abs/1910.13276v2
• [eess.IV]C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network
Munan Xu, Junming Chen, Haiqiang Wang, Shan Liu, Ge Li, Zhiqiang Bai
http://arxiv.org/abs/1910.13646v1
• [eess.IV]Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System
Sanaz Mojrian, Gergo Pinter, Javad Hassannataj Joloudari, Imre Felde, Narjes Nabipour, Laszlo Nadai, Amir Mosavi
http://arxiv.org/abs/1910.13574v1
• [eess.IV]LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images
Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell
http://arxiv.org/abs/1910.13955v1
• [eess.IV]The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
Wenjun Yan, Yuanyuan Wang, Shengjia Gu, Lu Huang, Fuhua Yan, Liming Xia, Qian Tao
http://arxiv.org/abs/1910.13681v1
• [eess.SP]Block Error Performance of NOMA with HARQ-CC in Finite Blocklength
Dileepa Marasinghe, Nandana Rajatheva, Matti Latva-aho
http://arxiv.org/abs/1910.13877v1
• [eess.SP]Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features
Yinsong Wang, Hessam Mahdavifar, Kamran Entesari, Shahin Shahrampour
http://arxiv.org/abs/1910.13567v1
• [eess.SP]Positive Covert Capacity of the MIMO AWGN Channels
Ahmed Bendary, Amr Abdelaziz, C. Emre Koksal
http://arxiv.org/abs/1910.13652v1
• [hep-th]The emergence of time
Roberto Longo
http://arxiv.org/abs/1910.13926v1
• [math.FA]Nonembeddability of Persistence Diagrams with $p>2$ Wasserstein Metric
Alexander Wagner
http://arxiv.org/abs/1910.13935v1
• [math.OC]Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization
Raghu Bollapragada, Stefan M. Wild
http://arxiv.org/abs/1910.13516v1
• [math.OC]Constrained Polynomial Likelihood
Paul Schneider
http://arxiv.org/abs/1910.14009v1
• [math.OC]UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
Ali Kavis, Kfir Y. Levy, Francis Bach, Volkan Cevher
http://arxiv.org/abs/1910.13857v1
• [math.OC]Unifying mirror descent and dual averaging
Anatoli Juditsky, Joon Kwon, Éric Moulines
http://arxiv.org/abs/1910.13742v1
• [math.PR]Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs
Jeff Calder, Nicolas Garcia Trillos
http://arxiv.org/abs/1910.13476v1
• [math.PR]Random concave functions
Peter Baxendale, Ting-Kam Leonard Wong
http://arxiv.org/abs/1910.13668v1
• [q-fin.PM]Find what you are looking for: A data-driven covariance matrix estimation
Sven Husmann, Antoniya Shivarova, Rick Steinert
http://arxiv.org/abs/1910.13960v1
• [stat.AP]Fully Bayesian imputation model for non-random missing data in qPCR
Valeriia Sherina, Matthew N. McCall, Tanzy M. T. Love
http://arxiv.org/abs/1910.13936v1
• [stat.CO]An extended class of RC association models: definition and estimation
Antonio Forcina
http://arxiv.org/abs/1910.13848v1
• [stat.ME]Irrational Exuberance: Correcting Bias in Probability Estimates
Gareth M. James, Peter Radchenko, Bradley Rava
http://arxiv.org/abs/1910.13570v1
• [stat.ME]Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Adjustment for Additional Baseline Variables
Bingkai Wang, Ryoko Susukida, Ramin Mojtabai, Masoumeh Amin-Esmaeili, Michael Rosenblum
http://arxiv.org/abs/1910.13954v1
• [stat.ME]RCRnorm: An integrated system of random-coefficient hierarchical regression models for normalizing NanoString nCounter data
Gaoxiang Jia, Xinlei Wang, Qiwei Li, Wei Lu, Ximing Tang, Ignacio Wistuba, Yang Xie
http://arxiv.org/abs/1910.13632v1
• [stat.ME]Spectral Subsampling MCMC for Stationary Time Series
Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran
http://arxiv.org/abs/1910.13627v1
• [stat.ME]Tree-Structured Scale Effects in Binary and Ordinal Regression
Gerhard Tutz, Moritz Berger
http://arxiv.org/abs/1910.13719v1
• [stat.ML]Convolutional Conditional Neural Processes
Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
http://arxiv.org/abs/1910.13556v1
• [stat.ML]Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting
Andrew Zammit-Mangion, Christopher K. Wikle
http://arxiv.org/abs/1910.13524v1
• [stat.ML]Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation
Xilei Zhao, Zhengze Zhou, Xiang Yan, Pascal Van Hentenryck
http://arxiv.org/abs/1910.13930v1
• [stat.ML]Learning pairwise Markov network structures using correlation neighborhoods
Juri Kuronen, Jukka Corander, Johan Pensar
http://arxiv.org/abs/1910.13832v1
• [stat.ML]Small-GAN: Speeding Up GAN Training Using Core-sets
Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena
http://arxiv.org/abs/1910.13540v1
• [stat.ML]Thompson Sampling via Local Uncertainty
Zhendong Wang, Mingyuan Zhou
http://arxiv.org/abs/1910.13673v1
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