cs.AI - 人工智能
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.HC - 人机接口 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.PF - 计算性能 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 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 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.soc-ph - 物理学与社会 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
• [cs.AI]Decrement Operators in Belief Change
• [cs.AI]Position Paper: From Multi-Agent Pathfinding to Pipe Routing
• [cs.AI]Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach
• [cs.CL]A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media
• [cs.CL]A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation
• [cs.CL]A realistic and robust model for Chinese word segmentation
• [cs.CL]AMR Parsing as Sequence-to-Graph Transduction
• [cs.CL]Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
• [cs.CL]Approximating probabilistic models as weighted finite automata
• [cs.CL]CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks
• [cs.CL]Enriching Pre-trained Language Model with Entity Information for Relation Classification
• [cs.CL]Generating Logical Forms from Graph Representations of Text and Entities
• [cs.CL]Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
• [cs.CL]MultiWiki: Interlingual Text Passage Alignment in Wikipedia
• [cs.CL]PaperRobot: Incremental Draft Generation of Scientific Ideas
• [cs.CL]Parallel Neural Text-to-Speech
• [cs.CL]Sampling from Stochastic Finite Automata with Applications to CTC Decoding
• [cs.CL]Story Ending Prediction by Transferable BERT
• [cs.CL]Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
• [cs.CL]Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes
• [cs.CR]Quantifying Differential Privacy of Gossip Protocols in General Networks
• [cs.CV]A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices
• [cs.CV]A novel algorithm for segmentation of leukocytes in peripheral blood
• [cs.CV]Activity Recognition and Prediction in Real Homes
• [cs.CV]Contrast Enhancement of Medical X-Ray Image Using Morphological Operators with Optimal Structuring Element
• [cs.CV]Convolutions on Spherical Images
• [cs.CV]Dual-branch residual network for lung nodule segmentation
• [cs.CV]GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud
• [cs.CV]Lightweight Network Architecture for Real-Time Action Recognition
• [cs.CV]Marginalized Average Attentional Network for Weakly-Supervised Learning
• [cs.CV]Mesh-based Camera Pairs Selection and Occlusion-Aware Masking for Mesh Refinement
• [cs.CV]Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure
• [cs.CV]PDH : Probabilistic deep hashing based on MAP estimation of Hamming distance
• [cs.CV]RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network
• [cs.CV]RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud
• [cs.CV]S-Flow GAN
• [cs.CV]SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
• [cs.CV]Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
• [cs.CV]Textured Neural Avatars
• [cs.CV]Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation
• [cs.CV]Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling
• [cs.CY]A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams
• [cs.CY]AmIE: An Ambient Intelligent Environment for Assisted Living
• [cs.CY]Blockchain in the Government Technology Fabric
• [cs.CY]Citizen Science: An Information Quality Research Frontier
• [cs.CY]Importance of Coordination and Cultural Diversity for an Efficient and Flexible Manufacturing System
• [cs.CY]On Cycling Risk and Discomfort: Urban Safety Mapping and Bike Route Recommendations
• [cs.CY]Software Citation Implementation Challenges
• [cs.DB]Ingesting High-Velocity Streaming Graphs from Social Media Sources
• [cs.DC]Auditable Register Emulations
• [cs.DC]Coding theory for noiseless channels realized by anonymous oblivious mobile robots
• [cs.DC]Instructions’ Latencies Characterization for NVIDIA GPGPUs
• [cs.DC]Linearizable State Machine Replication of State-Based CRDTs without Logs
• [cs.DC]Memory Lower Bounds for Self-Stabilization
• [cs.DC]Parallel memory-efficient all-at-once algorithms for the sparse matrix triple products in multigrid methods
• [cs.DC]Silent MST approximation for tiny memory
• [cs.DL]Why Machines Cannot Learn Mathematics, Yet
• [cs.DS]Efficient Profile Maximum Likelihood for Universal Symmetric Property Estimation
• [cs.DS]Inference under Information Constraints II: Communication Constraints and Shared Randomness
• [cs.HC]Improved Optical Flow for Gesture-based Human-robot Interaction
• [cs.IR]A User-Centered Concept Mining System for Query and Document Understanding at Tencent
• [cs.IR]Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks
• [cs.IT]An Intra-Cluster Model with Diffuse Scattering for mmWave Communications: RT-ICM
• [cs.IT]Cube-Split: A Structured Grassmannian Constellation for Non-Coherent SIMO Communications
• [cs.IT]Delay Violation Probability and Age of Information Interplay in the Two-user Multiple Access Channel
• [cs.IT]Fundamental Limits of Coded Caching: The Memory Rate Pair (K-1-1/K, 1/(K-1))
• [cs.IT]Inter-plane satellite matching in dense LEO constellations
• [cs.IT]Offloading Deadline-Constrained Cellular Traffic
• [cs.LG]A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks
• [cs.LG]A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk
• [cs.LG]A Neural Network Architecture for Learning Word-Referent Associations in Multiple Contexts
• [cs.LG]Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
• [cs.LG]Clustering with Similarity Preserving
• [cs.LG]Compression with Flows via Local Bits-Back Coding
• [cs.LG]Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
• [cs.LG]Continual Learning in Deep Neural Networks by Using Kalman Optimiser
• [cs.LG]Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria
• [cs.LG]Deep Signatures
• [cs.LG]Exploring Bias in GAN-based Data Augmentation for Small Samples
• [cs.LG]Exploring the effects of Lx-norm penalty terms in multivariate curve resolution methods for resolving LC/GC-MS data
• [cs.LG]Factorised Neural Relational Inference for Multi-Interaction Systems
• [cs.LG]Geometric Estimation of Multivariate Dependency
• [cs.LG]High-Resolution Road Vehicle Collision Prediction for the City of Montreal
• [cs.LG]Issues concerning realizability of Blackwell optimal policies in reinforcement learning
• [cs.LG]Joint embedding of structure and features via graph convolutional networks
• [cs.LG]Learning Conserved Networks from Flows
• [cs.LG]Limitations of routing-by-agreement based capsule networks
• [cs.LG]Neighborhood Enlargement in Graph Neural Networks
• [cs.LG]Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
• [cs.LG]Reinforcement Learning for Learning of Dynamical Systems in Uncertain Environment: a Tutorial
• [cs.LG]Spatially Constrained Spectral Clustering Algorithms for Region Delineation
• [cs.LG]Stochastic Inverse Reinforcement Learning
• [cs.LG]The Geometry of Deep Networks: Power Diagram Subdivision
• [cs.LG]Universal Approximation with Deep Narrow Networks
• [cs.NE]A Universal Approximation Result for Difference of log-sum-exp Neural Networks
• [cs.NE]A comparison of evaluation methods in coevolution
• [cs.PF]Evaluation of Docker Containers for Scientific Workloads in the Cloud
• [cs.PF]Exploring the Fairness and Resource Distribution in an Apache Mesos Environment
• [cs.PF]Performance Analysis of Deep Learning Workloads on Leading-edge Systems
• [cs.PF]Scylla: A Mesos Framework for Container Based MPI Jobs
• [cs.PF]Tromino: Demand and DRF Aware Multi-Tenant Queue Manager for Apache Mesos Cluster
• [cs.PL]Towards Neural Decompilation
• [cs.RO]Behavior Identification and Prediction for a Probabilistic Risk Framework
• [cs.RO]Design of conversational humanoid robot based on hardware independent gesture generation
• [cs.RO]Proprioceptive Robot Collision Detection through Gaussian Process Regression
• [cs.RO]Towards Safety-Aware Computing System Design in Autonomous Vehicles
• [cs.RO]aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge
• [cs.SD]Bayesian Pitch Tracking Based on the Harmonic Model
• [cs.SD]Robust sound event detection in bioacoustic sensor networks
• [cs.SE]Better Technical Debt Detection via SURVEYing
• [cs.SE]Safe and Chaotic Compilation for Hidden Deterministic Hardware Aliasing
• [cs.SI]On the Fairness of Time-Critical Influence Maximization in Social Networks
• [cs.SI]Quantifying Novelty and Influence, and the Patterns of Paradigm Shifts
• [eess.AS]Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems
• [eess.IV]Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos
• [eess.SP]Latency Analysis for Sequential Detection in Low-Complexity Binary Radio Systems
• [eess.SP]Topological Feature Vectors for Chatter Detection in Turning Processes
• [math.NA]A Two-stage Classification Method for High-dimensional Data and Point Clouds
• [math.NA]Automatic discrete differentiation and its applications
• [math.OC]Heterogeneous Stochastic Interactions for Multiple Agents in a Multi-armed Bandit Problem
• [math.OC]Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols
• [math.PR]Lagrangian uncertainty quantification and information inequalities for stochastic flows
• [math.ST]Asymptotic Analysis for Extreme Eigenvalues of Principal Minors of Random Matrices
• [math.ST]Inference for Change Points in High Dimensional Data
• [math.ST]Total variation multiscale estimators for linear inverse problems
• [physics.ao-ph]Identification of synoptic weather types over Taiwan area with multiple classifiers
• [physics.soc-ph]Evolving nature of human contact networks with its impact on epidemic processes
• [quant-ph]On the Second-Order Asymptotics of the Partially Smoothed Conditional Min-Entropy & Application to Quantum Compression
• [stat.AP]Strategic Bayesian Asset Allocation
• [stat.AP]The P-LOOP Estimator: Covariate Adjustment for Paired Experiments
• [stat.CO]A Kalman particle filter for online parameter estimation with applications to affine models
• [stat.CO]Gaussian Process Learning via Fisher Scoring of Vecchia’s Approximation
• [stat.ME]Assurance for sample size determination in reliability demonstration testing
• [stat.ME]Bayesian semiparametric analysis of multivariate continuous responses, with variable selection
• [stat.ME]Detection of similar successive groups in a model with diverging number of variable groups
• [stat.ME]Efficient Estimation For The Cox Proportional Hazards Cure Model
• [stat.ME]L-moments for automatic threshold selection in extreme value analysis
• [stat.ME]On the marginal likelihood and cross-validation
• [stat.ME]Raking and Regression Calibration: Methods to Address Bias from Correlated Covariate and Time-to-Event Error
• [stat.ME]Robustness of ANCOVA in randomised trials with unequal randomisation
• [stat.ML]Conditionally-additive-noise Models for Structure Learning
• [stat.ML]Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors
• [stat.ML]Time-varying Autoregression with Low Rank Tensors
·····································
• [cs.AI]Decrement Operators in Belief Change
Kai Sauerwald, Christoph Beierle
http://arxiv.org/abs/1905.08347v1
• [cs.AI]Position Paper: From Multi-Agent Pathfinding to Pipe Routing
Gleb Belov, Liron Cohen, Maria Garcia de la Banda, Daniel Harabor, Sven Koenig, Xinrui Wei
http://arxiv.org/abs/1905.08412v1
• [cs.AI]Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach
Deepika Verma, Kerstin Bach, Paul Jarle Mork
http://arxiv.org/abs/1905.08581v1
• [cs.CL]A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media
Miguel Á. Álvarez-Carmona, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Luis Villaseñor-Pienda
http://arxiv.org/abs/1905.08780v1
• [cs.CL]A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation
Wei Jiang, Yan Tang
http://arxiv.org/abs/1905.08454v1
• [cs.CL]A realistic and robust model for Chinese word segmentation
Chu-Ren Huang, Ting-Shuo Yo, Petr Simon, Shu-Kai Hsieh
http://arxiv.org/abs/1905.08732v1
• [cs.CL]AMR Parsing as Sequence-to-Graph Transduction
Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme
http://arxiv.org/abs/1905.08704v1
• [cs.CL]Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita
http://arxiv.org/abs/1905.08511v1
• [cs.CL]Approximating probabilistic models as weighted finite automata
Ananda Theertha Suresh, Brian Roark, Michael Riley, Vlad Schogol
http://arxiv.org/abs/1905.08701v1
• [cs.CL]CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks
Roberto Dessì, Marco Baroni
http://arxiv.org/abs/1905.08527v1
• [cs.CL]Enriching Pre-trained Language Model with Entity Information for Relation Classification
Shanchan Wu, Yifan He
http://arxiv.org/abs/1905.08284v1
• [cs.CL]Generating Logical Forms from Graph Representations of Text and Entities
Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun
http://arxiv.org/abs/1905.08407v1
• [cs.CL]Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
Xuan-Son Vu, Abhishek Santra, Sharma Chakravarthy, Lili Jiang
http://arxiv.org/abs/1905.08635v1
• [cs.CL]MultiWiki: Interlingual Text Passage Alignment in Wikipedia
Simon Gottschalk, Elena Demidova
http://arxiv.org/abs/1905.08675v1
• [cs.CL]PaperRobot: Incremental Draft Generation of Scientific Ideas
Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan
http://arxiv.org/abs/1905.07870v2
• [cs.CL]Parallel Neural Text-to-Speech
Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao
http://arxiv.org/abs/1905.08459v1
• [cs.CL]Sampling from Stochastic Finite Automata with Applications to CTC Decoding
Martin Jansche, Alexander Gutkin
http://arxiv.org/abs/1905.08760v1
• [cs.CL]Story Ending Prediction by Transferable BERT
Zhongyang Li, Xiao Ding, Ting Liu
http://arxiv.org/abs/1905.07504v2
• [cs.CL]Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung
http://arxiv.org/abs/1905.08743v1
• [cs.CL]Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes
Aina Garí Soler, Marianna Apidianaki, Alexandre Allauzen
http://arxiv.org/abs/1905.08377v1
• [cs.CR]Quantifying Differential Privacy of Gossip Protocols in General Networks
Yufan Huang, Huaiyu Dai
http://arxiv.org/abs/1905.07598v1
• [cs.CV]A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices
Xiaofan Zhang, Cong Hao, Yuhong Li, Yao Chen, Jinjun Xiong, Wen-mei Hwu, Deming Chen
http://arxiv.org/abs/1905.08369v1
• [cs.CV]A novel algorithm for segmentation of leukocytes in peripheral blood
Haichao Cao, Hong Liu, Enmin Song
http://arxiv.org/abs/1905.08416v1
• [cs.CV]Activity Recognition and Prediction in Real Homes
Flavia Dias Casagrande, Evi Zouganeli
http://arxiv.org/abs/1905.08654v1
• [cs.CV]Contrast Enhancement of Medical X-Ray Image Using Morphological Operators with Optimal Structuring Element
Rafsanjany Kushol, Md. Nishat Raihan, Md Sirajus Salekin, A. B. M. Ashikur Rahman
http://arxiv.org/abs/1905.08545v1
• [cs.CV]Convolutions on Spherical Images
Marc Eder, Jan-Michael Frahm
http://arxiv.org/abs/1905.08409v1
• [cs.CV]Dual-branch residual network for lung nodule segmentation
Haichao Cao, Hong Liu, Enmin Song, Chih-Cheng Hung, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Jianguo Lu
http://arxiv.org/abs/1905.08413v1
• [cs.CV]GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud
Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
http://arxiv.org/abs/1905.08705v1
• [cs.CV]Lightweight Network Architecture for Real-Time Action Recognition
Alexander Kozlov, Vadim Andronov, Yana Gritsenko
http://arxiv.org/abs/1905.08711v1
• [cs.CV]Marginalized Average Attentional Network for Weakly-Supervised Learning
Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
http://arxiv.org/abs/1905.08586v1
• [cs.CV]Mesh-based Camera Pairs Selection and Occlusion-Aware Masking for Mesh Refinement
Andrea Romanoni, Matteo Matteucci
http://arxiv.org/abs/1905.08502v1
• [cs.CV]Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure
Chandra Sekhar V, Prerana Mukherjee, D. S. Guru, Viswanath Pulabaigari
http://arxiv.org/abs/1905.08574v1
• [cs.CV]PDH : Probabilistic deep hashing based on MAP estimation of Hamming distance
Yosuke Kaga, Masakazu Fujio, Kenta Takahashi, Tetsushi Ohki, Masakatsu Nishigaki
http://arxiv.org/abs/1905.08501v1
• [cs.CV]RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network
Zhen-Liang Ni, Gui-Bin Bian, Xiao-Liang Xie, Zeng-Guang Hou, Xiao-Hu Zhou, Yan-Jie Zhou
http://arxiv.org/abs/1905.08663v1
• [cs.CV]RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud
Pierre Biasutti, Aurélie Bugeau, Jean-François Aujol, Mathieu Brédif
http://arxiv.org/abs/1905.08748v1
• [cs.CV]S-Flow GAN
Yakov Miron, Yona Coscas
http://arxiv.org/abs/1905.08474v1
• [cs.CV]SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
Michaël Ramamonjisoa, Vincent Lepetit
http://arxiv.org/abs/1905.08598v1
• [cs.CV]Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
Xuhua Ren, Lichi Zhang, Sahar Ahmad, Dong Nie, Fan Yang, Lei Xiang, Qian Wang, Dinggang Shen
http://arxiv.org/abs/1905.08720v1
• [cs.CV]Textured Neural Avatars
Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, Victor Lempitsky
http://arxiv.org/abs/1905.08776v1
• [cs.CV]Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation
Wenju Xu, Shawn Keshmiri, Guanghui Wang
http://arxiv.org/abs/1905.08766v1
• [cs.CV]Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling
Hao Zhang, Bo Chen, Long Tian, Zhengjue Wang, Mingyuan Zhou
http://arxiv.org/abs/1905.08622v1
• [cs.CY]A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams
Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez
http://arxiv.org/abs/1905.08772v1
• [cs.CY]AmIE: An Ambient Intelligent Environment for Assisted Living
Marwa Kandil, Reem AlBaghdadi, Fatemah AlAttar, Issam Damaj
http://arxiv.org/abs/1905.08773v1
• [cs.CY]Blockchain in the Government Technology Fabric
Anwitaman Datta
http://arxiv.org/abs/1905.08517v1
• [cs.CY]Citizen Science: An Information Quality Research Frontier
Roman Lukyanenko, Andrea Wiggins, Holly K. Rosser
http://arxiv.org/abs/1905.08289v1
• [cs.CY]Importance of Coordination and Cultural Diversity for an Efficient and Flexible Manufacturing System
Kashif Zia, Alois Ferscha, Dari Trendafilov
http://arxiv.org/abs/1905.08355v1
• [cs.CY]On Cycling Risk and Discomfort: Urban Safety Mapping and Bike Route Recommendations
David Castells-Graells, Christopher Salahub, Evangelos Pournaras
http://arxiv.org/abs/1905.08775v1
• [cs.CY]Software Citation Implementation Challenges
Daniel S. Katz, Daina Bouquin, Neil P. Chue Hong, Jessica Hausman, Catherine Jones, Daniel Chivvis, Tim Clark, Mercè Crosas, Stephan Druskat, Martin Fenner, Tom Gillespie, Alejandra Gonzalez-Beltran, Morane Gruenpeter, Ted Habermann, Robert Haines, Melissa Harrison, Edwin Henneken, Lorraine Hwang, Matthew B. Jones, Alastair A. Kelly, David N. Kennedy, Katrin Leinweber, Fernando Rios, Carly B. Robinson, Ilian Todorov, Mingfang Wu, Qian Zhang
http://arxiv.org/abs/1905.08674v1
• [cs.DB]Ingesting High-Velocity Streaming Graphs from Social Media Sources
Subhasis Dasgupta, Aditya Bagchi, Amarnath Gupta
http://arxiv.org/abs/1905.08337v1
• [cs.DC]Auditable Register Emulations
Vinicius V. Cogo, Alysson Bessani
http://arxiv.org/abs/1905.08637v1
• [cs.DC]Coding theory for noiseless channels realized by anonymous oblivious mobile robots
Yukiko Yamauchi, Masafumi Yamashita
http://arxiv.org/abs/1905.08526v1
• [cs.DC]Instructions’ Latencies Characterization for NVIDIA GPGPUs
Yehia Arafa, Abdel-Hameed Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan Eidenbenz
http://arxiv.org/abs/1905.08778v1
• [cs.DC]Linearizable State Machine Replication of State-Based CRDTs without Logs
Jan Skrzypczak, Florian Schintke, Thorsten Schütt
http://arxiv.org/abs/1905.08733v1
• [cs.DC]Memory Lower Bounds for Self-Stabilization
Lélia Blin, Laurent Feuilloley, Gabriel Le Bouder
http://arxiv.org/abs/1905.08563v1
• [cs.DC]Parallel memory-efficient all-at-once algorithms for the sparse matrix triple products in multigrid methods
Fande Kong
http://arxiv.org/abs/1905.08423v1
• [cs.DC]Silent MST approximation for tiny memory
Lélia Blin, Swan Dubois, Laurent Feuilloley
http://arxiv.org/abs/1905.08565v1
• [cs.DL]Why Machines Cannot Learn Mathematics, Yet
André Greiner-Petter, Terry Ruas, Moritz Schubotz, Akiko Aizawa, William Grosky, Bela Gipp
http://arxiv.org/abs/1905.08359v1
• [cs.DS]Efficient Profile Maximum Likelihood for Universal Symmetric Property Estimation
Moses Charikar, Kirankumar Shiragur, Aaron Sidford
http://arxiv.org/abs/1905.08448v1
• [cs.DS]Inference under Information Constraints II: Communication Constraints and Shared Randomness
Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi
http://arxiv.org/abs/1905.08302v1
• [cs.HC]Improved Optical Flow for Gesture-based Human-robot Interaction
Jen-Yen Chang, Antonio Tejero-de-Pablos, Tatsuya Harada
http://arxiv.org/abs/1905.08685v1
• [cs.IR]A User-Centered Concept Mining System for Query and Document Understanding at Tencent
Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu
http://arxiv.org/abs/1905.08487v1
• [cs.IR]Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks
Karan Sikka, Lucas Van Bramer, Ajay Divakaran
http://arxiv.org/abs/1905.07075v2
• [cs.IT]An Intra-Cluster Model with Diffuse Scattering for mmWave Communications: RT-ICM
Yavuz Yaman, Predrag Spasojevic
http://arxiv.org/abs/1905.08295v1
• [cs.IT]Cube-Split: A Structured Grassmannian Constellation for Non-Coherent SIMO Communications
Khac-Hoang Ngo, Alexis Decurninge, Maxime Guillaud, Sheng Yang
http://arxiv.org/abs/1905.08745v1
• [cs.IT]Delay Violation Probability and Age of Information Interplay in the Two-user Multiple Access Channel
Nikolaos Pappas, Marios Kountouris
http://arxiv.org/abs/1905.08237v1
• [cs.IT]Fundamental Limits of Coded Caching: The Memory Rate Pair (K-1-1/K, 1/(K-1))
Vijith Kumar K P, Brijesh Kumar Rai, Tony Jacob
http://arxiv.org/abs/1905.08471v1
• [cs.IT]Inter-plane satellite matching in dense LEO constellations
Beatriz Soret, Israel Leyva-Mayorga, Petar Popovski
http://arxiv.org/abs/1905.08410v1
• [cs.IT]Offloading Deadline-Constrained Cellular Traffic
Ahmed Ewaisha, Cihan Tepedelenlioglu
http://arxiv.org/abs/1905.08417v1
• [cs.LG]A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks
Md Iftekhar Tanveer, Md Kamrul Hasan, Daniel Gildea, M. Ehsan Hoque
http://arxiv.org/abs/1905.08392v1
• [cs.LG]A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk
Sebastiano Barbieri, Oscar Perez-Concha, Sradha Kotwal, Martin Gallagher, Angus Ritchie, Louisa Jorm
http://arxiv.org/abs/1905.08547v1
• [cs.LG]A Neural Network Architecture for Learning Word-Referent Associations in Multiple Contexts
Hansenclever F. Bassani, Aluizio F. R. Araujo
http://arxiv.org/abs/1905.08300v1
• [cs.LG]Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
http://arxiv.org/abs/1905.08537v1
• [cs.LG]Clustering with Similarity Preserving
Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, Zenglin Xu
http://arxiv.org/abs/1905.08419v1
• [cs.LG]Compression with Flows via Local Bits-Back Coding
Jonathan Ho, Evan Lohn, Pieter Abbeel
http://arxiv.org/abs/1905.08500v1
• [cs.LG]Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
http://arxiv.org/abs/1905.08550v1
• [cs.LG]Continual Learning in Deep Neural Networks by Using Kalman Optimiser
Honglin Li, Shirin Enshaeifar, Frieder Ganz, Payam Barnaghi
http://arxiv.org/abs/1905.08119v2
• [cs.LG]Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao
http://arxiv.org/abs/1905.08506v1
• [cs.LG]Deep Signatures
Patric Bonnier, Patrick Kidger, Imanol Perez Arribas, Cristopher Salvi, Terry Lyons
http://arxiv.org/abs/1905.08494v1
• [cs.LG]Exploring Bias in GAN-based Data Augmentation for Small Samples
Mengxiao Hu, Jinlong Li
http://arxiv.org/abs/1905.08495v1
• [cs.LG]Exploring the effects of Lx-norm penalty terms in multivariate curve resolution methods for resolving LC/GC-MS data
Ahmad Mani-Varnosfaderani, Mohammad Javad Masroor
http://arxiv.org/abs/1905.08575v1
• [cs.LG]Factorised Neural Relational Inference for Multi-Interaction Systems
Ezra Webb, Ben Day, Helena Andres-Terre, Pietro Lió
http://arxiv.org/abs/1905.08721v1
• [cs.LG]Geometric Estimation of Multivariate Dependency
Salimeh Yasaei Sekeh, Alfred O. Hero
http://arxiv.org/abs/1905.08594v1
• [cs.LG]High-Resolution Road Vehicle Collision Prediction for the City of Montreal
Antoine Hébert, Timothée Guédon, Tristan Glatard, Brigitte Jaumard
http://arxiv.org/abs/1905.08770v1
• [cs.LG]Issues concerning realizability of Blackwell optimal policies in reinforcement learning
Nicholas Denis
http://arxiv.org/abs/1905.08293v1
• [cs.LG]Joint embedding of structure and features via graph convolutional networks
Sébastien Lerique, Jacob Levy Abitbol, Márton Karsai
http://arxiv.org/abs/1905.08636v1
• [cs.LG]Learning Conserved Networks from Flows
Satya Jayadev P., Shankar Narasimhan, Nirav Bhatt
http://arxiv.org/abs/1905.08716v1
• [cs.LG]Limitations of routing-by-agreement based capsule networks
David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez
http://arxiv.org/abs/1905.08744v1
• [cs.LG]Neighborhood Enlargement in Graph Neural Networks
Xinhan Di, Pengqian Yu, Mingchao Sun, Rui Bu
http://arxiv.org/abs/1905.08509v1
• [cs.LG]Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
Uthsav Chitra, Benjamin J Raphael
http://arxiv.org/abs/1905.08287v1
• [cs.LG]Reinforcement Learning for Learning of Dynamical Systems in Uncertain Environment: a Tutorial
Mehran Attar, Mohammadreza Dabirian
http://arxiv.org/abs/1905.07727v1
• [cs.LG]Spatially Constrained Spectral Clustering Algorithms for Region Delineation
Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, Sarah M. Collins, Patricia A. Soranno
http://arxiv.org/abs/1905.08451v1
• [cs.LG]Stochastic Inverse Reinforcement Learning
Ce Ju, Dong Eui Chang
http://arxiv.org/abs/1905.08513v1
• [cs.LG]The Geometry of Deep Networks: Power Diagram Subdivision
Randall Balestriero, Romain Cosentino, Behnaam Aazhang, Richard Baraniuk
http://arxiv.org/abs/1905.08443v1
• [cs.LG]Universal Approximation with Deep Narrow Networks
Patrick Kidger, Terry Lyons
http://arxiv.org/abs/1905.08539v1
• [cs.NE]A Universal Approximation Result for Difference of log-sum-exp Neural Networks
Giuseppe C. Calafiore, Stephane Gaubert, Member, Corrado Possieri
http://arxiv.org/abs/1905.08503v1
• [cs.NE]A comparison of evaluation methods in coevolution
Ting-Shuo Yo, Edwin de Jong
http://arxiv.org/abs/1905.08723v1
• [cs.PF]Evaluation of Docker Containers for Scientific Workloads in the Cloud
Pankaj Saha, Angel Beltre, Piotr Uminski, Madhusudhan Govindaraju
http://arxiv.org/abs/1905.08415v1
• [cs.PF]Exploring the Fairness and Resource Distribution in an Apache Mesos Environment
Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju
http://arxiv.org/abs/1905.08388v1
• [cs.PF]Performance Analysis of Deep Learning Workloads on Leading-edge Systems
Yihui Ren, Shinjae Yoo, Adolfy Hoisie
http://arxiv.org/abs/1905.08764v1
• [cs.PF]Scylla: A Mesos Framework for Container Based MPI Jobs
Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju
http://arxiv.org/abs/1905.08386v1
• [cs.PF]Tromino: Demand and DRF Aware Multi-Tenant Queue Manager for Apache Mesos Cluster
Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju
http://arxiv.org/abs/1905.08387v1
• [cs.PL]Towards Neural Decompilation
Omer Katz, Yuval Olshaker, Yoav Goldberg, Eran Yahav
http://arxiv.org/abs/1905.08325v1
• [cs.RO]Behavior Identification and Prediction for a Probabilistic Risk Framework
Jasprit Singh Gill, Pierluigi Pisu, Venkat N. Krovi, Matthias J. Schmid
http://arxiv.org/abs/1905.08332v1
• [cs.RO]Design of conversational humanoid robot based on hardware independent gesture generation
katsushi ikeuchi, David Baumert, Shunsuke Kudoh, Masaru Takizawa
http://arxiv.org/abs/1905.08702v1
• [cs.RO]Proprioceptive Robot Collision Detection through Gaussian Process Regression
Dalla Libera Alberto, Tosello Elisa, Pillonetto Gianluigi, Ghidoni Stefano, Carli Ruggero
http://arxiv.org/abs/1905.08689v1
• [cs.RO]Towards Safety-Aware Computing System Design in Autonomous Vehicles
Hengyu Zhao, Yubo Zhang, Pingfan Meng, Hui Shi, Li Erran Li, Tiancheng Lou, Jishen Zhao
http://arxiv.org/abs/1905.08453v1
• [cs.RO]aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge
Keenan Burnett, Sepehr Samavi, Steven L. Waslander, Timothy D. Barfoot, Angela P. Schoellig
http://arxiv.org/abs/1905.08758v1
• [cs.SD]Bayesian Pitch Tracking Based on the Harmonic Model
Liming Shi, Jesper Kjaer Nielsen, Jesper Rindom Jensen, Max A. Little, Mads Graesboll Christensen
http://arxiv.org/abs/1905.08557v1
• [cs.SD]Robust sound event detection in bioacoustic sensor networks
Vincent Lostanlen, Justin Salamon, Andrew Farnsworth, Steve Kelling, Juan Pablo Bello
http://arxiv.org/abs/1905.08352v1
• [cs.SE]Better Technical Debt Detection via SURVEYing
Fahmid M. Fahid, Zhe Yu, Tim Menzies
http://arxiv.org/abs/1905.08297v1
• [cs.SE]Safe and Chaotic Compilation for Hidden Deterministic Hardware Aliasing
Peter T. Breuer
http://arxiv.org/abs/1905.08240v1
• [cs.SI]On the Fairness of Time-Critical Influence Maximization in Social Networks
Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
http://arxiv.org/abs/1905.06618v2
• [cs.SI]Quantifying Novelty and Influence, and the Patterns of Paradigm Shifts
Doheum Park, Juhan Nam, Juyong Park
http://arxiv.org/abs/1905.08665v1
• [eess.AS]Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems
Ohsung Kwon, Eunwoo Song, Jae-Min Kim, Hong-Goo Kang
http://arxiv.org/abs/1905.08486v1
• [eess.IV]Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos
Shanka Subhra Mondal, Rachana Sathish, Debdoot Sheet
http://arxiv.org/abs/1905.08315v1
• [eess.SP]Latency Analysis for Sequential Detection in Low-Complexity Binary Radio Systems
Manuel S. Stein, Michael Fauß
http://arxiv.org/abs/1905.08749v1
• [eess.SP]Topological Feature Vectors for Chatter Detection in Turning Processes
Melih C. Yesilli, Firas A. Khasawneh, Andreas Otto
http://arxiv.org/abs/1905.08671v1
• [math.NA]A Two-stage Classification Method for High-dimensional Data and Point Clouds
Xiaohao Cai, Raymond Chan, Xiaoyu Xie, Tieyong Zeng
http://arxiv.org/abs/1905.08538v1
• [math.NA]Automatic discrete differentiation and its applications
Ai Ishikawa, Takaharu Yaguchi
http://arxiv.org/abs/1905.08604v1
• [math.OC]Heterogeneous Stochastic Interactions for Multiple Agents in a Multi-armed Bandit Problem
Udari Madhushani, Naomi Ehrich Leonard
http://arxiv.org/abs/1905.08731v1
• [math.OC]Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols
Nicolas Loizou, Peter Richtárik
http://arxiv.org/abs/1905.08645v1
• [math.PR]Lagrangian uncertainty quantification and information inequalities for stochastic flows
Michal Branicki, Kenneth Uda
http://arxiv.org/abs/1905.08707v1
• [math.ST]Asymptotic Analysis for Extreme Eigenvalues of Principal Minors of Random Matrices
T. Tony Cai, Tiefeng Jiang, Xiaoou Li
http://arxiv.org/abs/1905.08757v1
• [math.ST]Inference for Change Points in High Dimensional Data
Runmin Wang, Stanislav Volgushev, Xiaofeng Shao
http://arxiv.org/abs/1905.08446v1
• [math.ST]Total variation multiscale estimators for linear inverse problems
Miguel del Álamo, Axel Munk
http://arxiv.org/abs/1905.08515v1
• [physics.ao-ph]Identification of synoptic weather types over Taiwan area with multiple classifiers
Shih-Hao Su, Jung-Lien Chu, Ting-Shuo Yo, Lee-Yaw Lin
http://arxiv.org/abs/1905.08736v1
• [physics.soc-ph]Evolving nature of human contact networks with its impact on epidemic processes
Cong Li, Jing Li, Xiang Li
http://arxiv.org/abs/1905.08525v1
• [quant-ph]On the Second-Order Asymptotics of the Partially Smoothed Conditional Min-Entropy & Application to Quantum Compression
Dina Abdelhadi, Joseph M. Renes
http://arxiv.org/abs/1905.08268v1
• [stat.AP]Strategic Bayesian Asset Allocation
Vadim Sokolov, Michael Polson
http://arxiv.org/abs/1905.08414v1
• [stat.AP]The P-LOOP Estimator: Covariate Adjustment for Paired Experiments
Edward Wu, Johann A. Gagnon-Bartsch
http://arxiv.org/abs/1905.08450v1
• [stat.CO]A Kalman particle filter for online parameter estimation with applications to affine models
Jian He, Asma Khedher, Peter Spreij
http://arxiv.org/abs/1905.08552v1
• [stat.CO]Gaussian Process Learning via Fisher Scoring of Vecchia’s Approximation
Joseph Guinness
http://arxiv.org/abs/1905.08374v1
• [stat.ME]Assurance for sample size determination in reliability demonstration testing
Kevin James Wilson, Malcolm Farrow
http://arxiv.org/abs/1905.08659v1
• [stat.ME]Bayesian semiparametric analysis of multivariate continuous responses, with variable selection
Georgios Papageorgiou, Benjamin C. Marshall
http://arxiv.org/abs/1905.08393v1
• [stat.ME]Detection of similar successive groups in a model with diverging number of variable groups
Gabriela Ciuperca, Matus Maciak, Francois Wahl
http://arxiv.org/abs/1905.08308v1
• [stat.ME]Efficient Estimation For The Cox Proportional Hazards Cure Model
Khandoker Akib Mohammad, Yuichi Hirose, Budhi Surya, Yuan Yao
http://arxiv.org/abs/1905.08424v1
• [stat.ME]L-moments for automatic threshold selection in extreme value analysis
Jessica Silva Lomba, Maria Isabel Fraga Alves
http://arxiv.org/abs/1905.08726v1
• [stat.ME]On the marginal likelihood and cross-validation
Edwin Fong, Chris Holmes
http://arxiv.org/abs/1905.08737v1
• [stat.ME]Raking and Regression Calibration: Methods to Address Bias from Correlated Covariate and Time-to-Event Error
Eric J. Oh, Bryan E. Shepherd, Thomas Lumley, Pamela A. Shaw
http://arxiv.org/abs/1905.08330v1
• [stat.ME]Robustness of ANCOVA in randomised trials with unequal randomisation
Jonathan W. Bartlett
http://arxiv.org/abs/1905.08693v1
• [stat.ML]Conditionally-additive-noise Models for Structure Learning
Daniel Chicharro, Stefano Panzeri, Ilya Shpitser
http://arxiv.org/abs/1905.08360v1
• [stat.ML]Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors
Pavel Gurevich, Hannes Stuke
http://arxiv.org/abs/1905.08464v1
• [stat.ML]Time-varying Autoregression with Low Rank Tensors
Kameron Decker Harris, Aleksandr Aravkin, Rajesh Rao, Bingni Wen Brunton
http://arxiv.org/abs/1905.08389v1
若有收获，就点个赞吧
0 人点赞
