cs.AI - 人工智能
cs.CC - 计算复杂度 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.DS - 数据结构与算法 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 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.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 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.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Decision Automation for Electric Power Network Recovery
• [cs.AI]The Choice Function Framework for Online Policy Improvement
• [cs.CC]TE-ETH: Lower Bounds for QBFs of Bounded Treewidth
• [cs.CL]A CCG-based Compositional Semantics and Inference System for Comparatives
• [cs.CL]Abstractive Dialog Summarization with Semantic Scaffolds
• [cs.CL]BookQA: Stories of Challenges and Opportunities
• [cs.CL]Clinical Text Generation through Leveraging Medical Concept and Relations
• [cs.CL]DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
• [cs.CL]DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
• [cs.CL]Essentia: Mining Domain-specific Paraphrases with Word-Alignment Graphs
• [cs.CL]Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
• [cs.CL]Global Voices: Crossing Borders in Automatic News Summarization
• [cs.CL]Grammatical Error Correction in Low-Resource Scenarios
• [cs.CL]Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU
• [cs.CL]Learning to estimate label uncertainty for automatic radiology report parsing
• [cs.CL]Neural Word Decomposition Models for Abusive Language Detection
• [cs.CL]Speech-to-speech Translation between Untranscribed Unknown Languages
• [cs.CL]State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D Convolutions
• [cs.CL]SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders
• [cs.CR]ChainSplitter: Towards Blockchain-based Industrial IoT Architecture for Supporting Hierarchical Storage
• [cs.CR]Detecting and Characterizing Lateral Phishing at Scale
• [cs.CR]Teaching Hardware Reverse Engineering: Educational Guidelines and Practical Insights
• [cs.CV]A Computationally Efficient Pipeline Approach to Full Page Offline Handwritten Text Recognition
• [cs.CV]A Pre-defined Sparse Kernel Based Convolutionfor Deep CNNs
• [cs.CV]Animating Face using Disentangled Audio Representations
• [cs.CV]Automated Crabgrass Detection in Aerial Imagery with Context
• [cs.CV]Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks
• [cs.CV]Boosting Image Recognition with Non-differentiable Constraints
• [cs.CV]CNN-based Semantic Segmentation using Level Set Loss
• [cs.CV]Joint Learning of Semantic Alignment and Object Landmark Detection
• [cs.CV]Object Parsing in Sequences Using CoordConv Gated Recurrent Networks
• [cs.CV]Privacy-preserving Federated Brain Tumour Segmentation
• [cs.CV]RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking
• [cs.CV]Temporal Multimodal Fusion for Driver Behavior Prediction Tasks using Gated Recurrent Fusion Units
• [cs.CV]Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos
• [cs.CV]Unsupervised Doodling and Painting with Improved SPIRAL
• [cs.CV]Unsupervised Projection Networks for Generative Adversarial Networks
• [cs.CY]Race and Religion in Online Abuse towards UK Politicians: Working Paper
• [cs.CY]Reviewing National Cybersecurity Awareness for Users and Executives in Africa
• [cs.DB]A Blueprint For Interoperable Blockhains
• [cs.DB]SharPer: Sharding Permissioned Blockchains Over Network Clusters
• [cs.DC]Research Intelligence (CRIS) and the Cloud: A Review
• [cs.DC]Scheduling Stochastic Real-Time Coflows in Unreliable Computing Machines
• [cs.DC]Thread Homeostasis: Real-Time Anomalous Behavior Detection for Safety-Critical Software
• [cs.DS]Streaming Balanced Clustering
• [cs.IR]The merits of Universal Language Model Fine-tuning for Small Datasets — a case with Dutch book reviews
• [cs.IT]A Self-contained Analysis of the Lempel-Ziv Compression Algorithm
• [cs.IT]Age of Information with Finite Horizon and Partial Updates
• [cs.IT]Beamspace Channel Estimation for Massive MIMO mmWave Systems: Algorithm and VLSI Design
• [cs.IT]Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing
• [cs.IT]MIMO Assisted Networks Relying on Large Intelligent Surfaces: A Stochastic Geometry Model
• [cs.IT]On the Optimality of Reconfigurable Intelligent Surfaces (RISs): Passive Beamforming, Modulation, and Resource Allocation
• [cs.IT]Optimizing the Transition Waste in Coded Elastic Computing
• [cs.IT]Performance Analysis and Design of Non-orthogonal Multiple Access for Wireless Communications
• [cs.IT]Potential Key Technologies for 6G Mobile Communications
• [cs.IT]Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference
• [cs.LG]A Deep Factorization of Style and Structure in Fonts
• [cs.LG]Accelerating Deep Learning by Focusing on the Biggest Losers
• [cs.LG]Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
• [cs.LG]An Introduction to Probabilistic Spiking Neural Networks
• [cs.LG]Benchmarking machine learning models on eICU critical care dataset
• [cs.LG]BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions
• [cs.LG]CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem
• [cs.LG]Concept Drift Detection and Adaptation with Weak Supervision on Streaming Unlabeled Data
• [cs.LG]ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion
• [cs.LG]Contextual Local Explanation for Black Box Classifiers
• [cs.LG]Deep Lifetime Clustering
• [cs.LG]DiffTaichi: Differentiable Programming for Physical Simulation
• [cs.LG]Efficient Graph Generation with Graph Recurrent Attention Networks
• [cs.LG]Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers
• [cs.LG]Formal Language Constraints for Markov Decision Processes
• [cs.LG]Generating Semantic Adversarial Examples with Differentiable Rendering
• [cs.LG]IEG: Robust Neural Network Training to Tackle Severe Label Noise
• [cs.LG]Identifying Weights and Architectures of Unknown ReLU Networks
• [cs.LG]Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
• [cs.LG]Learning Maximally Predictive Prototypes in Multiple Instance Learning
• [cs.LG]NESTA: Hamming Weight Compression-Based Neural Proc. Engine
• [cs.LG]On the estimation of the Wasserstein distance in generative models
• [cs.LG]Quantized Reinforcement Learning (QUARL)
• [cs.LG]Randomized Ablation Feature Importance
• [cs.LG]Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation
• [cs.LG]Robust Few-Shot Learning with Adversarially Queried Meta-Learners
• [cs.LG]SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
• [cs.LG]Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients
• [cs.LG]Structural Language Models for Any-Code Generation
• [cs.LG]Task-Relevant Adversarial Imitation Learning
• [cs.LG]TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
• [cs.LG]Variational Temporal Abstraction
• [cs.LG]Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
• [cs.LG]Wasserstein Neural Processes
• [cs.MA]Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures
• [cs.MA]Emergence of Writing Systems Through Multi-Agent Cooperation
• [cs.NE]Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence
• [cs.NE]Optimising Optimisers with Push GP
• [cs.NI]A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks
• [cs.RO]Accelerated Robot Learning via Human Brain Signals
• [cs.RO]Action Anticipation for Collaborative Environments: The Impact of Contextual Information and Uncertainty-Based Prediction
• [cs.RO]Adaptive Continuous Visual Odometry from RGB-D Images
• [cs.RO]Area Graph: Generation of Topological Maps using the Voronoi Diagram
• [cs.RO]Deploying the NASA Valkyrie Humanoid for IED Response: An Initial Approach and Evaluation Summary
• [cs.RO]Estimating Lower Limb Kinematics using a Reduced Wearable Sensor Count
• [cs.RO]Learning Continuous 3D Reconstructions for Geometrically Aware Grasping
• [cs.RO]LiTE: Light-field Transparency Estimation for Refractive Object Localization
• [cs.RO]Motion Decoupling and Composition via Reduced Order Model Optimization for Dynamic Humanoid Walking with CLF-QP based Active Force Control
• [cs.RO]Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video
• [cs.RO]Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante
• [cs.RO]Orbit Characterization, Stabilization and Composition on 3D Underactuated Bipedal Walking via Hybrid Passive Linear Inverted Pendulum Model
• [cs.RO]Pose Estimation for Omni-directional Cameras using Sinusoid Fitting
• [cs.RO]ROS Rescue : Fault Tolerance System for Robot Operating System
• [cs.RO]Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation
• [cs.RO]TagSLAM: Robust SLAM with Fiducial Markers
• [cs.RO]The OpenUAV Swarm Simulation Testbed: a Collaborative DesignStudio for Field Robotics
• [cs.SI]Quantifying Voter Biases in Online Platforms: An Instrumental Variable Approach
• [cs.SI]Retrieving Top Weighted Triangles in Graphs
• [econ.EM]An introduction to flexible methods for policy evaluation
• [eess.IV]Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images
• [eess.IV]Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking
• [eess.IV]Empirical evaluation of full-reference image quality metrics on MDID database
• [eess.IV]Enhancing high-content imaging for studying microtubule networks at large-scale
• [eess.IV]Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients
• [eess.IV]W-Net: A CNN-based Architecture for White Blood Cells Image Classification
• [eess.SP]A Machine Learning framework for Sleeping Cell Detection in a Smart-city IoT Telecommunications Infrastructure
• [eess.SP]Deep 3D Pan via adaptive “t-shaped” convolutions with global and local adaptive dilations
• [eess.SP]Near-Convex Archetypal Analysis
• [eess.SY]An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics
• [eess.SY]Synthesis of Orchestrations and Choreographies: Bridging the Gap between Supervisory Control and Coordination of Services
• [math.OC]Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach
• [math.ST]A deterministic theory of low rank matrix completion
• [math.ST]Covariance Matrix Estimation with Non Uniform and Data Dependent Missing Observations
• [math.ST]Non-algorithmic theory of randomness
• [math.ST]Non-uniform Berry-Esseen Bound by Unbounded Exchangeable Pair Approach
• [math.ST]Parameter estimation for SPDEs based on discrete observations in time and space
• [math.ST]Series Representation of Jointly S$α$S Distribution via A New Type of Symmetric Covariations
• [math.ST]The Balakrishnan Alpha Skew Laplace Distribution: Properties and Its Applications
• [physics.comp-ph]Deep learning at scale for subgrid modeling in turbulent flows
• [physics.soc-ph]A machine learning approach to predicting dynamical observables from network structure
• [physics.soc-ph]Prediction of citation dynamics of individual papers
• [q-bio.QM]Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods
• [stat.AP]Monotonic Nonparametric Dose Response Model
• [stat.ME]Fast and Fair Simultaneous Confidence Bands for Functional Parameters
• [stat.ME]Minimax D-optimal designs for multivariate regression models with multi-factors
• [stat.ME]Robust Bayesian Regression with Synthetic Posterior
• [stat.ML]A note on the consistency of the random forest algorithm
• [stat.ML]Equivariant Flows: sampling configurations for multi-body systems with symmetric energies
• [stat.ML]Learning Neural Causal Models from Unknown Interventions
• [stat.ML]Order-Independent Structure Learning of Multivariate Regression Chain Graphs
• [stat.ML]Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks
• [stat.ML]Scalable approximate inference for state space models with normalising flows
• [stat.ML]Towards Unifying Neural Architecture Space Exploration and Generalization
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• [cs.AI]Decision Automation for Electric Power Network Recovery
Yugandhar Sarkale, Saeed Nozhati, Edwin K. P. Chong, Bruce R. Ellingwood
http://arxiv.org/abs/1910.00699v1
• [cs.AI]The Choice Function Framework for Online Policy Improvement
Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli
http://arxiv.org/abs/1910.00614v1
• [cs.CC]TE-ETH: Lower Bounds for QBFs of Bounded Treewidth
Johannes Klaus Fichte, Markus Hecher, Andreas Pfandler
http://arxiv.org/abs/1910.01047v1
• [cs.CL]A CCG-based Compositional Semantics and Inference System for Comparatives
Izumi Haruta, Koji Mineshima, Daisuke Bekki
http://arxiv.org/abs/1910.00930v1
• [cs.CL]Abstractive Dialog Summarization with Semantic Scaffolds
Lin Yuan, Zhou Yu
http://arxiv.org/abs/1910.00825v1
• [cs.CL]BookQA: Stories of Challenges and Opportunities
Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez
http://arxiv.org/abs/1910.00856v1
• [cs.CL]Clinical Text Generation through Leveraging Medical Concept and Relations
Wangjin Lee, Hyeryun Park, Jooyoung Yoon, Kyeongmo Kim, Jinwook Choi
http://arxiv.org/abs/1910.00861v1
• [cs.CL]DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, Thomas Wolf
http://arxiv.org/abs/1910.01108v1
• [cs.CL]DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
Yi-Lin Tuan, Yun-Nung Chen, Hung-yi Lee
http://arxiv.org/abs/1910.00610v1
• [cs.CL]Essentia: Mining Domain-specific Paraphrases with Word-Alignment Graphs
Danni Ma, Chen Chen, Behzad Golshan, Wang-Chiew Tan
http://arxiv.org/abs/1910.00637v1
• [cs.CL]Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam
http://arxiv.org/abs/1910.00883v1
• [cs.CL]Global Voices: Crossing Borders in Automatic News Summarization
Khanh Nguyen, Hal Daumé III
http://arxiv.org/abs/1910.00421v2
• [cs.CL]Grammatical Error Correction in Low-Resource Scenarios
Jakub Náplava, Milan Straka
http://arxiv.org/abs/1910.00353v2
• [cs.CL]Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU
Andrea Vanzo, Emanuele Bastianelli, Oliver Lemon
http://arxiv.org/abs/1910.00912v1
• [cs.CL]Learning to estimate label uncertainty for automatic radiology report parsing
Tobi Olatunji, Li Yao
http://arxiv.org/abs/1910.00673v1
• [cs.CL]Neural Word Decomposition Models for Abusive Language Detection
Sravan Babu Bodapati, Spandana Gella, Kasturi Bhattacharjee, Yaser Al-Onaizan
http://arxiv.org/abs/1910.01043v1
• [cs.CL]Speech-to-speech Translation between Untranscribed Unknown Languages
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
http://arxiv.org/abs/1910.00795v1
• [cs.CL]State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D Convolutions
Kyu J. Han, Ramon Prieto, Kaixing Wu, Tao Ma
http://arxiv.org/abs/1910.00716v1
• [cs.CL]SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders
Peter J. Liu, Yu-An Chung, Jie Ren
http://arxiv.org/abs/1910.00998v1
• [cs.CR]ChainSplitter: Towards Blockchain-based Industrial IoT Architecture for Supporting Hierarchical Storage
Gang Wang, Zhijie Jerry Shi, Mark Nixon, Song Han
http://arxiv.org/abs/1910.00742v1
• [cs.CR]Detecting and Characterizing Lateral Phishing at Scale
Grant Ho, Asaf Cidon, Lior Gavish, Marco Schweighauser, Vern Paxson, Stefan Savage, Geoffrey M. Voelker, David Wagner
http://arxiv.org/abs/1910.00790v1
• [cs.CR]Teaching Hardware Reverse Engineering: Educational Guidelines and Practical Insights
Carina Wiesen, Steffen Becker, Marc Fyrbiak, Nils Albartus, Malte Elson, Nikol Rummel, Christof Paar
http://arxiv.org/abs/1910.00312v1
• [cs.CV]A Computationally Efficient Pipeline Approach to Full Page Offline Handwritten Text Recognition
Jonathan Chung, Thomas Delteil
http://arxiv.org/abs/1910.00663v1
• [cs.CV]A Pre-defined Sparse Kernel Based Convolutionfor Deep CNNs
Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg
http://arxiv.org/abs/1910.00724v1
• [cs.CV]Animating Face using Disentangled Audio Representations
Gaurav Mittal, Baoyuan Wang
http://arxiv.org/abs/1910.00726v1
• [cs.CV]Automated Crabgrass Detection in Aerial Imagery with Context
Delia Bullock, Andrew Mangeni, Tyr Wiesner-Hanks, Chad DeChant, Ethan L. Stewart, Nicholas Kaczmar, Rebecca J. Nelson, Michael A. Gore, Hod Lipson
http://arxiv.org/abs/1910.00652v1
• [cs.CV]Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks
Pedro Azevedo, Sabrina S. Panceri, Rânik Guidolini, Vinicius B. Cardoso, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza
http://arxiv.org/abs/1910.00944v1
• [cs.CV]Boosting Image Recognition with Non-differentiable Constraints
Xuan Li, Yuchen Lu, Peng Xu, Jizong Peng, Christian Desrosiers, Xue Liu
http://arxiv.org/abs/1910.00736v1
• [cs.CV]CNN-based Semantic Segmentation using Level Set Loss
Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim
http://arxiv.org/abs/1910.00950v1
• [cs.CV]Joint Learning of Semantic Alignment and Object Landmark Detection
Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn
http://arxiv.org/abs/1910.00754v1
• [cs.CV]Object Parsing in Sequences Using CoordConv Gated Recurrent Networks
Ayush Gaud, Y V S Harish, K Madhava Krishna
http://arxiv.org/abs/1910.00895v1
• [cs.CV]Privacy-preserving Federated Brain Tumour Segmentation
Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng
http://arxiv.org/abs/1910.00962v1
• [cs.CV]RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking
Aayush K. Chaudhary, Rakshit Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel Diaz, Jeff B. Pelz
http://arxiv.org/abs/1910.00694v1
• [cs.CV]Temporal Multimodal Fusion for Driver Behavior Prediction Tasks using Gated Recurrent Fusion Units
Athma Narayanan, Avinash Siravuru, Behzad Dariush
http://arxiv.org/abs/1910.00628v1
• [cs.CV]Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos
Ji Lin, Chuang Gan, Song Han
http://arxiv.org/abs/1910.00932v1
• [cs.CV]Unsupervised Doodling and Painting with Improved SPIRAL
John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami
http://arxiv.org/abs/1910.01007v1
• [cs.CV]Unsupervised Projection Networks for Generative Adversarial Networks
Daiyaan Arfeen, Jesse Zhang
http://arxiv.org/abs/1910.00579v1
• [cs.CY]Race and Religion in Online Abuse towards UK Politicians: Working Paper
Genevieve Gorrell, Mehmet E. Bakir, Mark A. Greenwood, Ian Roberts, Kalina Bontcheva
http://arxiv.org/abs/1910.00920v1
• [cs.CY]Reviewing National Cybersecurity Awareness for Users and Executives in Africa
Maria Bada, Basie von Solms, Ioannis Agrafiotis
http://arxiv.org/abs/1910.01005v1
• [cs.DB]A Blueprint For Interoperable Blockhains
Tien Tuan Anh Dinh, Anwitaman Datta, Beng Chin Ooi
http://arxiv.org/abs/1910.00985v1
• [cs.DB]SharPer: Sharding Permissioned Blockchains Over Network Clusters
Mohammad Javad Amiri, Divyakant Agrawal, Amr El Abbadi
http://arxiv.org/abs/1910.00765v1
• [cs.DC]Research Intelligence (CRIS) and the Cloud: A Review
Otmane Azeroual, Joachim Schöpfel
http://arxiv.org/abs/1910.00862v1
• [cs.DC]Scheduling Stochastic Real-Time Coflows in Unreliable Computing Machines
Yu-Pin Hsu
http://arxiv.org/abs/1910.00916v1
• [cs.DC]Thread Homeostasis: Real-Time Anomalous Behavior Detection for Safety-Critical Software
Mohamed Alsharnouby, Anil Somayaji
http://arxiv.org/abs/1910.01012v1
• [cs.DS]Streaming Balanced Clustering
Hossein Esfandiari, Vahab Mirrokni, Peilin Zhong
http://arxiv.org/abs/1910.00788v1
• [cs.IR]The merits of Universal Language Model Fine-tuning for Small Datasets — a case with Dutch book reviews
Benjamin van der Burgh, Suzan Verberne
http://arxiv.org/abs/1910.00896v1
• [cs.IT]A Self-contained Analysis of the Lempel-Ziv Compression Algorithm
Madhu Sudan, David Xiang
http://arxiv.org/abs/1910.00941v1
• [cs.IT]Age of Information with Finite Horizon and Partial Updates
David Ramirez, Elza Erkip, H. Vincent Poor
http://arxiv.org/abs/1910.00963v1
• [cs.IT]Beamspace Channel Estimation for Massive MIMO mmWave Systems: Algorithm and VLSI Design
Seyed Hadi Mirfarshbafan, Alexandra Gallyas-Sanhueza, Ramina Ghods, Christoph Studer
http://arxiv.org/abs/1910.00756v1
• [cs.IT]Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing
Boris Karanov, Gabriele Liga, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen
http://arxiv.org/abs/1910.01028v1
• [cs.IT]MIMO Assisted Networks Relying on Large Intelligent Surfaces: A Stochastic Geometry Model
Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen, Lajos Hanzo
http://arxiv.org/abs/1910.00959v1
• [cs.IT]On the Optimality of Reconfigurable Intelligent Surfaces (RISs): Passive Beamforming, Modulation, and Resource Allocation
Minchae Jung, Walid Saad, Merouane Debbah, Choong Seon Hong
http://arxiv.org/abs/1910.00968v1
• [cs.IT]Optimizing the Transition Waste in Coded Elastic Computing
Hoang Dau, Ryan Gabrys, Yu-Chih Huang, Chen Feng, Quang-Hung Luu, Eidah Alzahrani, Zahir Tari
http://arxiv.org/abs/1910.00796v1
• [cs.IT]Performance Analysis and Design of Non-orthogonal Multiple Access for Wireless Communications
Zhiqiang Wei
http://arxiv.org/abs/1910.00946v1
• [cs.IT]Potential Key Technologies for 6G Mobile Communications
Yifei Yuan, Yajun Zhao, Baiqing Zong, Sergio Parolari
http://arxiv.org/abs/1910.00730v1
• [cs.IT]Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference
Javier Cépedes, Pablo M. Olmos, Matilde Sánchez-Fernández, Fernando Pérez-Cruz
http://arxiv.org/abs/1910.00853v1
• [cs.LG]A Deep Factorization of Style and Structure in Fonts
Akshay Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick
http://arxiv.org/abs/1910.00748v1
• [cs.LG]Accelerating Deep Learning by Focusing on the Biggest Losers
Angela H. Jiang, Daniel L. -K. Wong, Giulio Zhou, David G. Andersen, Jeffrey Dean, Gregory R. Ganger, Gauri Joshi, Michael Kaminksy, Michael Kozuch, Zachary C. Lipton, Padmanabhan Pillai
http://arxiv.org/abs/1910.00762v1
• [cs.LG]Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
Xue Bin Peng, Aviral Kumar, Grace Zhang, Sergey Levine
http://arxiv.org/abs/1910.00177v2
• [cs.LG]An Introduction to Probabilistic Spiking Neural Networks
Hyeryung Jang, Osvaldo Simeone, Brian Gardner, André Grüning
http://arxiv.org/abs/1910.01059v1
• [cs.LG]Benchmarking machine learning models on eICU critical care dataset
Seyedmostafa Sheikhalishahi, Vevake Balaraman, Venet Osmani
http://arxiv.org/abs/1910.00964v1
• [cs.LG]BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions
Yatin Chaudhary, Pankaj Gupta, Hinrich Schütze
http://arxiv.org/abs/1910.00314v2
• [cs.LG]CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem
Arpan Kusari
http://arxiv.org/abs/1910.00584v1
• [cs.LG]Concept Drift Detection and Adaptation with Weak Supervision on Streaming Unlabeled Data
Abhijit Suprem
http://arxiv.org/abs/1910.01064v1
• [cs.LG]ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion
Andreas Hinterreiter, Peter Ruch, Holger Stitz, Martin Ennemoser, Jürgen Bernard, Hendrik Strobelt, Marc Streit
http://arxiv.org/abs/1910.00969v1
• [cs.LG]Contextual Local Explanation for Black Box Classifiers
Zijian Zhang, Fan Yang, Haofan Wang, Xia Hu
http://arxiv.org/abs/1910.00768v1
• [cs.LG]Deep Lifetime Clustering
S Chandra Mouli, Leonardo Teixeira, Jennifer Neville, Bruno Ribeiro
http://arxiv.org/abs/1910.00547v2
• [cs.LG]DiffTaichi: Differentiable Programming for Physical Simulation
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand
http://arxiv.org/abs/1910.00935v1
• [cs.LG]Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel
http://arxiv.org/abs/1910.00760v1
• [cs.LG]Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers
Aaron Griffith, Andrew Pomerance, Daniel J. Gauthier
http://arxiv.org/abs/1910.00659v1
• [cs.LG]Formal Language Constraints for Markov Decision Processes
Eleanor Quint, Dong Xu, Haluk Dogan, Zeynep Hakguder, Stephen Scott, Matthew Dwyer
http://arxiv.org/abs/1910.01074v1
• [cs.LG]Generating Semantic Adversarial Examples with Differentiable Rendering
Lakshya Jain, Wilson Wu, Steven Chen, Uyeong Jang, Varun Chandrasekaran, Sanjit Seshia, Somesh Jha
http://arxiv.org/abs/1910.00727v1
• [cs.LG]IEG: Robust Neural Network Training to Tackle Severe Label Noise
Zizhao Zhang, Han Zhang, Sercan O. Arik, Honglak Lee, Tomas Pfister
http://arxiv.org/abs/1910.00701v1
• [cs.LG]Identifying Weights and Architectures of Unknown ReLU Networks
David Rolnick, Konrad P. Kording
http://arxiv.org/abs/1910.00744v1
• [cs.LG]Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis
http://arxiv.org/abs/1910.00942v1
• [cs.LG]Learning Maximally Predictive Prototypes in Multiple Instance Learning
Mert Yuksekgonul, Ozgur Emre Sivrikaya, Mustafa Gokce Baydogan
http://arxiv.org/abs/1910.00965v1
• [cs.LG]NESTA: Hamming Weight Compression-Based Neural Proc. Engine
Ali Mirzaeian, Houman Homayoun, Avesta Sasan
http://arxiv.org/abs/1910.00700v1
• [cs.LG]On the estimation of the Wasserstein distance in generative models
Thomas Pinetz, Daniel Soukup, Thomas Pock
http://arxiv.org/abs/1910.00888v1
• [cs.LG]Quantized Reinforcement Learning (QUARL)
Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Lam, Aleksandra Faust, Vijay Janapa Reddi
http://arxiv.org/abs/1910.01055v1
• [cs.LG]Randomized Ablation Feature Importance
Luke Merrick
http://arxiv.org/abs/1910.00174v2
• [cs.LG]Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation
Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang
http://arxiv.org/abs/1910.00698v1
• [cs.LG]Robust Few-Shot Learning with Adversarially Queried Meta-Learners
Micah Goldblum, Liam Fowl, Tom Goldstein
http://arxiv.org/abs/1910.00982v1
• [cs.LG]SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael Rabbat
http://arxiv.org/abs/1910.00643v1
• [cs.LG]Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients
Chen Tessler, Nadav Merlis, Shie Mannor
http://arxiv.org/abs/1910.01062v1
• [cs.LG]Structural Language Models for Any-Code Generation
Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav
http://arxiv.org/abs/1910.00577v1
• [cs.LG]Task-Relevant Adversarial Imitation Learning
Konrad Zolna, Scott Reed, Alexander Novikov, Sergio Gomez Colmenarej, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
http://arxiv.org/abs/1910.01077v1
• [cs.LG]TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
Ling Cai, Bo Yan, Gengchen Mai, Krzysztof Janowicz, Rui Zhu
http://arxiv.org/abs/1910.00702v1
• [cs.LG]Variational Temporal Abstraction
Taesup Kim, Sungjin Ahn, Yoshua Bengio
http://arxiv.org/abs/1910.00775v1
• [cs.LG]Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
Daniel Severo, Flávio Amaro, Estevam R. Hruschka Jr, André Soares de Moura Costa
http://arxiv.org/abs/1910.00752v1
• [cs.LG]Wasserstein Neural Processes
Andrew Carr, Jared Nielson, David Wingate
http://arxiv.org/abs/1910.00668v1
• [cs.MA]Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures
Rohit K. Dubey, Samuel S. Sohn, Christoph Hoelscher, Mubbasir Kapadia
http://arxiv.org/abs/1910.00767v1
• [cs.MA]Emergence of Writing Systems Through Multi-Agent Cooperation
Shresth Verma, Joydip Dhar
http://arxiv.org/abs/1910.00741v1
• [cs.NE]Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence
Nassim Abderrahmane, Edgar Lemaire, Benoît Miramond
http://arxiv.org/abs/1910.01010v1
• [cs.NE]Optimising Optimisers with Push GP
Michael Lones
http://arxiv.org/abs/1910.00945v1
• [cs.NI]A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks
Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani
http://arxiv.org/abs/1910.00731v1
• [cs.RO]Accelerated Robot Learning via Human Brain Signals
Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter Allen
http://arxiv.org/abs/1910.00682v1
• [cs.RO]Action Anticipation for Collaborative Environments: The Impact of Contextual Information and Uncertainty-Based Prediction
Clebeson Canuto dos Santos, Plinio Moreno, Jorge Leonide Aching Samatelo, Raquel Frizera Vassallo, José Santos-Victor
http://arxiv.org/abs/1910.00714v1
• [cs.RO]Adaptive Continuous Visual Odometry from RGB-D Images
Tzu-Yuan Lin, William Clark, Ryan M. Eustice, Jessy W. Grizzle, Anthony Bloch, Maani Ghaffari
http://arxiv.org/abs/1910.00713v1
• [cs.RO]Area Graph: Generation of Topological Maps using the Voronoi Diagram
Jiawei Hou, Yijun Yuan, Sören Schwertfeger
http://arxiv.org/abs/1910.01019v1
• [cs.RO]Deploying the NASA Valkyrie Humanoid for IED Response: An Initial Approach and Evaluation Summary
Steven Jens Jorgensen, Michael W. Lanighan, Sylvain S. Bertrand, Andrew Watson, Joseph S. Altemus, R. Scott Askew, Lyndon Bridgwater, Beau Domingue, Charlie Kendrick, Jason Lee, Mark Paterson, Jairo Sanchez, Patrick Beeson, Seth Gee, Stephen Hart, Ana Huaman Quispe, Robert Griffin, Inho Lee, Stephen McCrory, Luis Sentis, Jerry Pratt, Joshua S. Mehling
http://arxiv.org/abs/1910.00761v1
• [cs.RO]Estimating Lower Limb Kinematics using a Reduced Wearable Sensor Count
Luke Sy, Michael Raitor, Michael Del Rosario, Heba Khamis, Lauren Kark, Nigel H. Lovell, Stephen J. Redmond
http://arxiv.org/abs/1910.00910v1
• [cs.RO]Learning Continuous 3D Reconstructions for Geometrically Aware Grasping
Mark Van der Merwe, Qingkai Lu, Balakumar Sundaralingam, Martin Matak, Tucker Hermans
http://arxiv.org/abs/1910.00983v1
• [cs.RO]LiTE: Light-field Transparency Estimation for Refractive Object Localization
Zheming Zhou, Xiaotong Chen, Odest Chadwicke Jenkins
http://arxiv.org/abs/1910.00721v1
• [cs.RO]Motion Decoupling and Composition via Reduced Order Model Optimization for Dynamic Humanoid Walking with CLF-QP based Active Force Control
Xiaobin Xiong, Aaron Ames
http://arxiv.org/abs/1910.00687v1
• [cs.RO]Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video
Maria Bauza, Ferran Alet, Yen-Chen Lin, Tomas Lozano-Perez, Leslie P. Kaelbling, Phillip Isola, Alberto Rodriguez
http://arxiv.org/abs/1910.00618v1
• [cs.RO]Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante
Alexis Duburcq, Yann Chevaleyre, Nicolas Bredeche, Guilhem Boéris
http://arxiv.org/abs/1910.00514v2
• [cs.RO]Orbit Characterization, Stabilization and Composition on 3D Underactuated Bipedal Walking via Hybrid Passive Linear Inverted Pendulum Model
Xiaobin Xiong, Aaron Ames
http://arxiv.org/abs/1910.00684v1
• [cs.RO]Pose Estimation for Omni-directional Cameras using Sinusoid Fitting
Haofei Kuang, Qingwen Xu, Sören Schwertfeger
http://arxiv.org/abs/1910.00882v1
• [cs.RO]ROS Rescue : Fault Tolerance System for Robot Operating System
Pushyami Kaveti, Hanumant Singh
http://arxiv.org/abs/1910.01078v1
• [cs.RO]Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation
Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly
http://arxiv.org/abs/1910.00529v2
• [cs.RO]TagSLAM: Robust SLAM with Fiducial Markers
Bernd Pfrommer, Kostas Daniilidis
http://arxiv.org/abs/1910.00679v1
• [cs.RO]The OpenUAV Swarm Simulation Testbed: a Collaborative DesignStudio for Field Robotics
Harish Anand, Zhiang Chen, Jnaneshwar Das
http://arxiv.org/abs/1910.00739v1
• [cs.SI]Quantifying Voter Biases in Online Platforms: An Instrumental Variable Approach
Himel Dev, Karrie Karahalios, Hari Sundaram
http://arxiv.org/abs/1910.00757v1
• [cs.SI]Retrieving Top Weighted Triangles in Graphs
Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson
http://arxiv.org/abs/1910.00692v1
• [econ.EM]An introduction to flexible methods for policy evaluation
Martin Huber
http://arxiv.org/abs/1910.00641v1
• [eess.IV]Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images
Sudhir Sornapudi, G. T. Brown, Zhiyun Xue, Rodney Long, Lisa Allen, Sameer Antani
http://arxiv.org/abs/1910.00722v1
• [eess.IV]Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking
Yuhua Chen, Jaime L. Shaw, Yibin Xie, Debiao Li, Anthony G. Christodoulou
http://arxiv.org/abs/1910.00956v1
• [eess.IV]Empirical evaluation of full-reference image quality metrics on MDID database
Domonkos Varga
http://arxiv.org/abs/1910.01050v1
• [eess.IV]Enhancing high-content imaging for studying microtubule networks at large-scale
Hao-Chih Lee, Sarah T Cherng, Riccardo Miotto, Joel T Dudley
http://arxiv.org/abs/1910.00662v1
• [eess.IV]Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients
Eric Carver, Zhenzhen Dai, Evan Liang, James Snyder, Ning Wen
http://arxiv.org/abs/1910.00696v1
• [eess.IV]W-Net: A CNN-based Architecture for White Blood Cells Image Classification
Changhun Jung, Mohammed Abuhamad, Jumabek Alikhanov, Aziz Mohaisen, Kyungja Han, DaeHun Nyang
http://arxiv.org/abs/1910.01091v1
• [eess.SP]A Machine Learning framework for Sleeping Cell Detection in a Smart-city IoT Telecommunications Infrastructure
Orestes Manzanilla-Salazar, Filippo Malandra, Hakim Mellah, Constant Wette, Brunilde Sanso
http://arxiv.org/abs/1910.01092v1
• [eess.SP]Deep 3D Pan via adaptive “t-shaped” convolutions with global and local adaptive dilations
Juan Luis Gonzalez Bello, Munchurl Kim
http://arxiv.org/abs/1910.01089v1
• [eess.SP]Near-Convex Archetypal Analysis
Pierre De Handschutter, Nicolas Gillis, Arnaud Vandaele, Xavier Siebert
http://arxiv.org/abs/1910.00821v1
• [eess.SY]An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics
David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin
http://arxiv.org/abs/1910.00681v1
• [eess.SY]Synthesis of Orchestrations and Choreographies: Bridging the Gap between Supervisory Control and Coordination of Services
Davide Basile, Maurice H. ter Beek, Rosario Pugliese
http://arxiv.org/abs/1910.00849v1
• [math.OC]Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach
Dongsheng Ding, Mihailo R. Jovanović
http://arxiv.org/abs/1910.00783v1
• [math.ST]A deterministic theory of low rank matrix completion
Sourav Chatterjee
http://arxiv.org/abs/1910.01079v1
• [math.ST]Covariance Matrix Estimation with Non Uniform and Data Dependent Missing Observations
Eduardo Pavez, Antonio Ortega
http://arxiv.org/abs/1910.00667v1
• [math.ST]Non-algorithmic theory of randomness
Vladimir Vovk
http://arxiv.org/abs/1910.00585v1
• [math.ST]Non-uniform Berry-Esseen Bound by Unbounded Exchangeable Pair Approach
Dali Liu, Zheng Li, Hanchao Wang, Zengjing Chen
http://arxiv.org/abs/1909.13477v2
• [math.ST]Parameter estimation for SPDEs based on discrete observations in time and space
Florian Hildebrandt, Mathias Trabs
http://arxiv.org/abs/1910.01004v1
• [math.ST]Series Representation of Jointly S$α$S Distribution via A New Type of Symmetric Covariations
Yujia Ding, Qidi Peng
http://arxiv.org/abs/1910.00675v1
• [math.ST]The Balakrishnan Alpha Skew Laplace Distribution: Properties and Its Applications
Sricharan Shah, Partha Jyoti Hazarika, Subrata Chakraborty
http://arxiv.org/abs/1910.01084v1
• [physics.comp-ph]Deep learning at scale for subgrid modeling in turbulent flows
Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch
http://arxiv.org/abs/1910.00928v1
• [physics.soc-ph]A machine learning approach to predicting dynamical observables from network structure
Francisco A. Rodrigues, Thomas Peron, Colm Connaughton, Jurgen Kurths, Yamir Moreno
http://arxiv.org/abs/1910.00544v1
• [physics.soc-ph]Prediction of citation dynamics of individual papers
Michael Golosovsky
http://arxiv.org/abs/1910.00867v1
• [q-bio.QM]Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods
Xi Yang, Yan Gong, Nida Waheed, Keith March, Jiang Bian, William R. Hogan, Yonghui Wu
http://arxiv.org/abs/1910.00582v1
• [stat.AP]Monotonic Nonparametric Dose Response Model
Faten S. Alamri, Edward L. Boone, David J. Edwards
http://arxiv.org/abs/1910.00150v2
• [stat.ME]Fast and Fair Simultaneous Confidence Bands for Functional Parameters
Dominik Liebl, Matthew Reimherr
http://arxiv.org/abs/1910.00131v2
• [stat.ME]Minimax D-optimal designs for multivariate regression models with multi-factors
Lucy L. Gao, Julie Zhou
http://arxiv.org/abs/1910.00745v1
• [stat.ME]Robust Bayesian Regression with Synthetic Posterior
Shintaro Hashimoto, Shonosuke Sugasawa
http://arxiv.org/abs/1910.00812v1
• [stat.ML]A note on the consistency of the random forest algorithm
José A. Ferreira
http://arxiv.org/abs/1910.00943v1
• [stat.ML]Equivariant Flows: sampling configurations for multi-body systems with symmetric energies
Jonas Köhler, Leon Klein, Frank Noé
http://arxiv.org/abs/1910.00753v1
• [stat.ML]Learning Neural Causal Models from Unknown Interventions
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio
http://arxiv.org/abs/1910.01075v1
• [stat.ML]Order-Independent Structure Learning of Multivariate Regression Chain Graphs
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
http://arxiv.org/abs/1910.01067v1
• [stat.ML]Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks
Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
http://arxiv.org/abs/1910.00877v1
• [stat.ML]Scalable approximate inference for state space models with normalising flows
Tom Ryder, Andrew Golightly, Isaac Matthews, Dennis Prangle
http://arxiv.org/abs/1910.00879v1
• [stat.ML]Towards Unifying Neural Architecture Space Exploration and Generalization
Kartikeya Bhardwaj, Radu Marculescu
http://arxiv.org/abs/1910.00780v1