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.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.CO - 组合数学 math.OC - 优化与控制 math.ST - 统计理论 physics.optics - 光学 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 stat.ME - 统计方法论

    • [cs.AI]Towards Explainable AI Planning as a Service
    • [cs.CL]Architecture and evolution of semantic networks in mathematics texts
    • [cs.CL]Aspect and Opinion Terms Extraction Using Double Embeddings and Attention Mechanism for Indonesian Hotel Reviews
    • [cs.CL]Domain Adaptive Training BERT for Response Selection
    • [cs.CL]Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System
    • [cs.CL]Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT
    • [cs.CL]FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition
    • [cs.CL]FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension
    • [cs.CL]Fusion of Detected Objects in Text for Visual Question Answering
    • [cs.CL]HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion
    • [cs.CL]Mastering emergent language: learning to guide in simulated navigation
    • [cs.CL]MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences
    • [cs.CL]Meta Reasoning over Knowledge Graphs
    • [cs.CL]On The Evaluation of Machine Translation Systems Trained With Back-Translation
    • [cs.CL]Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling
    • [cs.CL]Reasoning-Driven Question-Answering for Natural Language Understanding
    • [cs.CL]Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
    • [cs.CL]SG-Net: Syntax-Guided Machine Reading Comprehension
    • [cs.CL]The lexical and grammatical sources of neg-raising inferences
    • [cs.CL]Towards Debiasing Fact Verification Models
    • [cs.CL]Towards Optimisation of Collaborative Question Answering over Knowledge Graphs
    • [cs.CL]X-WikiRE: A Large, Multilingual Resource for Relation Extraction asMachine Comprehension
    • [cs.CR]Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability
    • [cs.CR]ClustCrypt: Privacy-Preserving Clustering of Unstructured Big Data in the Cloud
    • [cs.CR]Complexity of universal access structures
    • [cs.CR]Interpretable Encrypted Searchable Neural Networks
    • [cs.CR]Risk-Limiting Tallies
    • [cs.CR]Taking a Lesson from Quantum Particles for Statistical Data Privacy
    • [cs.CV]3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents
    • [cs.CV]A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
    • [cs.CV]A Tour of Convolutional Networks Guided by Linear Interpreters
    • [cs.CV]AdvFaces: Adversarial Face Synthesis
    • [cs.CV]AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations
    • [cs.CV]Benchmarking the Robustness of Semantic Segmentation Models
    • [cs.CV]DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation
    • [cs.CV]Deep Generalized Max Pooling
    • [cs.CV]Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes
    • [cs.CV]Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
    • [cs.CV]Directional TSDF: Modeling Surface Orientation for Coherent Meshes
    • [cs.CV]FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
    • [cs.CV]Faster Unsupervised Semantic Inpainting: A GAN Based Approach
    • [cs.CV]Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation
    • [cs.CV]Few-Shot Learning with Global Class Representations
    • [cs.CV]Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space
    • [cs.CV]GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification
    • [cs.CV]HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning
    • [cs.CV]Learning Two-View Correspondences and Geometry Using Order-Aware Network
    • [cs.CV]Learning elementary structures for 3D shape generation and matching
    • [cs.CV]Matrix Nets: A New Deep Architecture for Object Detection
    • [cs.CV]Memory-Based Neighbourhood Embedding for Visual Recognition
    • [cs.CV]Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
    • [cs.CV]Person Re-identification in Aerial Imagery
    • [cs.CV]SP-NET: One Shot Fingerprint Singular-Point Detector
    • [cs.CV]Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network
    • [cs.CV]Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation
    • [cs.CV]Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point Process
    • [cs.CV]Transferable Representation Learning in Vision-and-Language Navigation
    • [cs.CV]Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
    • [cs.CV]VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
    • [cs.DC]Aleph: Efficient Atomic Broadcast in Asynchronous Networks with Byzantine Nodes
    • [cs.DC]Energy and Performance Analysis of STTRAM Caches for Mobile Applications
    • [cs.DC]Serverless Supercomputing: High Performance Function as a Service for Science
    • [cs.DS]Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost
    • [cs.HC]Why Should the Q-method be Integrated Into the Design Science Research? A Systematic Mapping Study
    • [cs.IT]Computing and Communicating Functions in Disorganized Wireless Networks
    • [cs.IT]Cross-Layer Scheduling and Beamforming in Smart Grid Powered Small-Cell Networks
    • [cs.IT]Joint Precoding and Power Control in Small-Cell Networks With Proportional-Rate MISO-BC Backhaul
    • [cs.IT]Low-PAPR Multi-channel OOK Waveform for IEEE 802.11ba Wake-up Radio
    • [cs.IT]Performance Characterization of Canonical Mobility Models in Drone Cellular Networks
    • [cs.LG]A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN
    • [cs.LG]AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
    • [cs.LG]Constrained Multi-Objective Optimization for Automated Machine Learning
    • [cs.LG]Harmonized Multimodal Learning with Gaussian Process Latent Variable Models
    • [cs.LG]Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model
    • [cs.LG]Local Score Dependent Model Explanation for Time Dependent Covariates
    • [cs.LG]Optimizing for Interpretability in Deep Neural Networks with Tree Regularization
    • [cs.LG]Requirements Engineering for Machine Learning: Perspectives from Data Scientists
    • [cs.LG]Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding
    • [cs.LG]Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity
    • [cs.LG]Tensor-Train Parameterization for Ultra Dimensionality Reduction
    • [cs.LG]Thompson Sampling and Approximate Inference
    • [cs.LG]Unconstrained Monotonic Neural Networks
    • [cs.LG]Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring
    • [cs.LG]Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning
    • [cs.LG]Visualizing Image Content to Explain Novel Image Discovery
    • [cs.NE]A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction
    • [cs.NE]Neural Network Predictive Controller for Grid-Connected Virtual Synchronous Generator
    • [cs.NI]Meeting QoS of Users in a Edge to Cloud Platform via Optimally Placing Services and Scheduling Tasks
    • [cs.RO]Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach
    • [cs.RO]Control Of Mobile Robots Using Barrier Functions Under Temporal Logic Specifications
    • [cs.RO]Fog Robotics: A Summary, Challenges and Future Scope
    • [cs.RO]Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
    • [cs.RO]Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks
    • [cs.RO]Robust Translational Force Control of Multi-Rotor UAV for Precise Acceleration Tracking
    • [cs.RO]Swimming locomotion of Soft Robotic Snakes
    • [cs.SD]Interleaved Multitask Learning for Audio Source Separation with Independent Databases
    • [cs.SI]How often should I access my online social networks?
    • [cs.SI]Temporal Analysis of Reddit Networks via Role Embeddings
    • [eess.IV]Boosting Liver and Lesion Segmentation from CT Scans By Mask Mining
    • [eess.IV]D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation
    • [eess.IV]Histographs: Graphs in Histopathology
    • [eess.IV]Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
    • [eess.IV]Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN
    • [eess.IV]Structural Similarity based Anatomical and Functional Brain Imaging Fusion
    • [eess.SY]Dual Heuristic Dynamic Programing Control of Grid-Connected Synchronverters
    • [math.CO]On Occupancy Moments and Bloom Filter Efficiency
    • [math.OC]A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics
    • [math.ST]On rank estimators in increasing dimensions
    • [physics.optics]Generative Multi-Functional Meta-Atom and Metasurface Design Networks
    • [physics.soc-ph]On community structure in complex networks: challenges and opportunities
    • [q-bio.QM]Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics
    • [stat.ME]Borrowing of information across patient subgroups in a basket trial based on distributional discrepancy
    • [stat.ME]Causal discovery in heavy-tailed models
    • [stat.ME]Large-dimensional Factor Analysis without Moment Constraints
    • [stat.ME]Least Squares Approximation for a Distributed System
    • [stat.ME]Modelling columnarity of pyramidal cells in the human cerebral cortex
    • [stat.ME]R-miss-tastic: a unified platform for missing values methods and workflows

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    • [cs.AI]Towards Explainable AI Planning as a Service
    Michael Cashmore, Anna Collins, Benjamin Krarup, Senka Krivic, Daniele Magazzeni, David Smith
    http://arxiv.org/abs/1908.05059v1

    • [cs.CL]Architecture and evolution of semantic networks in mathematics texts
    Nicolas H. Christianson, Ann Sizemore Blevins, Danielle S. Bassett
    http://arxiv.org/abs/1908.04911v1

    • [cs.CL]Aspect and Opinion Terms Extraction Using Double Embeddings and Attention Mechanism for Indonesian Hotel Reviews
    Jordhy Fernando, Masayu Leylia Khodra, Ali Akbar Septiandri
    http://arxiv.org/abs/1908.04899v1

    • [cs.CL]Domain Adaptive Training BERT for Response Selection
    Taesun Whang, Dongyub Lee, Chanhee Lee, Kisu Yang, Dongsuk Oh, HeuiSeok Lim
    http://arxiv.org/abs/1908.04812v1

    • [cs.CL]Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System
    Kevin K. Bowden, Jiaqi Wu, Wen Cui, Juraj Juraska, Vrindavan Harrison, Brian Schwarzmann, Nicholas Santer, Steve Whittaker, Marilyn Walker
    http://arxiv.org/abs/1908.04832v1

    • [cs.CL]Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT
    Han He, Jinho D. Choi
    http://arxiv.org/abs/1908.04943v1

    • [cs.CL]FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition
    Hongyin Zhu, Wenpeng Hu, Yi Zeng
    http://arxiv.org/abs/1908.05009v1

    • [cs.CL]FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension
    Yi-Ting Yeh, Yun-Nung Chen
    http://arxiv.org/abs/1908.05117v1

    • [cs.CL]Fusion of Detected Objects in Text for Visual Question Answering
    Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter
    http://arxiv.org/abs/1908.05054v1

    • [cs.CL]HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion
    Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis
    http://arxiv.org/abs/1908.04895v1

    • [cs.CL]Mastering emergent language: learning to guide in simulated navigation
    Mathijs Mul, Diane Bouchacourt, Elia Bruni
    http://arxiv.org/abs/1908.05135v1

    • [cs.CL]MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences
    Yifu Chen, Zongsheng Wang, Bowen Wu, Mengyuan Li, Huan Zhang, Lin Ma, Feng Liu, Qihang Feng, Baoxun Wang
    http://arxiv.org/abs/1908.05138v1

    • [cs.CL]Meta Reasoning over Knowledge Graphs
    Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
    http://arxiv.org/abs/1908.04877v1

    • [cs.CL]On The Evaluation of Machine Translation Systems Trained With Back-Translation
    Sergey Edunov, Myle Ott, Marc’Aurelio Ranzato, Michael Auli
    http://arxiv.org/abs/1908.05204v1

    • [cs.CL]Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling
    Yi-Ting Yeh, Tzu-Chuan Lin, Hsiao-Hua Cheng, Yu-Hsuan Deng, Shang-Yu Su, Yun-Nung Chen
    http://arxiv.org/abs/1908.05067v1

    • [cs.CL]Reasoning-Driven Question-Answering for Natural Language Understanding
    Daniel Khashabi
    http://arxiv.org/abs/1908.04926v1

    • [cs.CL]Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
    Yu Chen, Lingfei Wu, Mohammed J. Zaki
    http://arxiv.org/abs/1908.04942v1

    • [cs.CL]SG-Net: Syntax-Guided Machine Reading Comprehension
    Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao
    http://arxiv.org/abs/1908.05147v1

    • [cs.CL]The lexical and grammatical sources of neg-raising inferences
    Hannah Youngeun An, Aaron Steven White
    http://arxiv.org/abs/1908.05253v1

    • [cs.CL]Towards Debiasing Fact Verification Models
    Tal Schuster, Darsh J Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, Regina Barzilay
    http://arxiv.org/abs/1908.05267v1

    • [cs.CL]Towards Optimisation of Collaborative Question Answering over Knowledge Graphs
    Kuldeep Singh, Mohamad Yaser Jaradeh, Saeedeh Shekarpour, Akash Kulkarni, Arun Sethupat Radhakrishna, Ioanna Lytra, Maria-Esther Vidal, Jens Lehmann
    http://arxiv.org/abs/1908.05098v1

    • [cs.CL]X-WikiRE: A Large, Multilingual Resource for Relation Extraction asMachine Comprehension
    Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard
    http://arxiv.org/abs/1908.05111v1

    • [cs.CR]Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability
    Shaowei Wang, Jiachun Du, Wei Yang, Xinrong Diao, Zichun Liu, Yiwen Nie, Liusheng Huang, Hongli Xu
    http://arxiv.org/abs/1908.04920v1

    • [cs.CR]ClustCrypt: Privacy-Preserving Clustering of Unstructured Big Data in the Cloud
    SM Zobaed, Sahan Ahmad, Raju Gottumukkala, Mohsen Amini Salehi
    http://arxiv.org/abs/1908.04960v1

    • [cs.CR]Complexity of universal access structures
    Laszlo Csirmaz
    http://arxiv.org/abs/1908.05021v1

    • [cs.CR]Interpretable Encrypted Searchable Neural Networks
    Kai Chen, Zhongrui Lin, Jian Wan, Chungen Xu
    http://arxiv.org/abs/1908.04998v1

    • [cs.CR]Risk-Limiting Tallies
    Wojciech Jamroga, Peter B. Roenne, Peter Y. A. Ryan, Philip B. Stark
    http://arxiv.org/abs/1908.04947v1

    • [cs.CR]Taking a Lesson from Quantum Particles for Statistical Data Privacy
    Farhad Farokhi
    http://arxiv.org/abs/1908.04954v1

    • [cs.CV]3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents
    Ue-Hwan Kim, Jin-Man Park, Taek-Jin Song, Jong-Hwan Kim
    http://arxiv.org/abs/1908.04929v1

    • [cs.CV]A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
    Ya Zhao, Rui Xu, Mingli Song
    http://arxiv.org/abs/1908.04917v1

    • [cs.CV]A Tour of Convolutional Networks Guided by Linear Interpreters
    Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang
    http://arxiv.org/abs/1908.05168v1

    • [cs.CV]AdvFaces: Adversarial Face Synthesis
    Debayan Deb, Jianbang Zhang, Anil K. Jain
    http://arxiv.org/abs/1908.05008v1

    • [cs.CV]AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations
    Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman
    http://arxiv.org/abs/1908.05263v1

    • [cs.CV]Benchmarking the Robustness of Semantic Segmentation Models
    Christoph Kamann, Carsten Rother
    http://arxiv.org/abs/1908.05005v1

    • [cs.CV]DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation
    Seung Ju Cho, Tae Joon Jun, Byungsoo Oh, Daeyoung Kim
    http://arxiv.org/abs/1908.05195v1

    • [cs.CV]Deep Generalized Max Pooling
    Vincent Christlein, Lukas Spranger, Mathias Seuret, Anguelos Nicolaou, Pavel Král, Andreas Maier
    http://arxiv.org/abs/1908.05040v1

    • [cs.CV]Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes
    Hao Yang, Hao Wu, Hao Chen
    http://arxiv.org/abs/1908.05217v1

    • [cs.CV]Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
    Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan
    http://arxiv.org/abs/1908.05033v1

    • [cs.CV]Directional TSDF: Modeling Surface Orientation for Coherent Meshes
    Malte Splietker, Sven Behnke
    http://arxiv.org/abs/1908.05146v1

    • [cs.CV]FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
    Kimmo Kärkkäinen, Jungseock Joo
    http://arxiv.org/abs/1908.04913v1

    • [cs.CV]Faster Unsupervised Semantic Inpainting: A GAN Based Approach
    Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas
    http://arxiv.org/abs/1908.04968v1

    • [cs.CV]Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation
    Hyeon Woo Lee, Mert R. Sabuncu, Adrian V. Dalca
    http://arxiv.org/abs/1908.04466v2

    • [cs.CV]Few-Shot Learning with Global Class Representations
    Tiange Luo, Aoxue Li, Tao Xiang, Weiran Huang, Liwei Wang
    http://arxiv.org/abs/1908.05257v1

    • [cs.CV]Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space
    Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro
    http://arxiv.org/abs/1908.04930v1

    • [cs.CV]GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification
    Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
    http://arxiv.org/abs/1908.05142v1

    • [cs.CV]HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning
    Shiyang Yan, Jun Xu, Yuai Liu, Lin Xu
    http://arxiv.org/abs/1908.04915v1

    • [cs.CV]Learning Two-View Correspondences and Geometry Using Order-Aware Network
    Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen, Long Quan, Hongen Liao
    http://arxiv.org/abs/1908.04964v1

    • [cs.CV]Learning elementary structures for 3D shape generation and matching
    Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
    http://arxiv.org/abs/1908.04725v2

    • [cs.CV]Matrix Nets: A New Deep Architecture for Object Detection
    Abdullah Rashwan, Agastya Kalra, Pascal Poupart
    http://arxiv.org/abs/1908.04646v2

    • [cs.CV]Memory-Based Neighbourhood Embedding for Visual Recognition
    Suichan Li, Dapeng Chen, Bin Liu, Nenghai Yu, Rui Zhao
    http://arxiv.org/abs/1908.04992v1

    • [cs.CV]Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
    Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang
    http://arxiv.org/abs/1908.05185v1

    • [cs.CV]Person Re-identification in Aerial Imagery
    Shizhou Zhang, Qi Zhang, Xing Wei, Peng Wang, Bingliang Jiao, Yanning Zhang
    http://arxiv.org/abs/1908.05024v1

    • [cs.CV]SP-NET: One Shot Fingerprint Singular-Point Detector
    Geetika Arora, Ranjeet Ranjan Jha, Akash Agrawal, Kamlesh Tiwari, Aditya Nigam
    http://arxiv.org/abs/1908.04842v1

    • [cs.CV]Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network
    Bo Jiang, Leiling Wang, Jin Tang, Bin Luo
    http://arxiv.org/abs/1908.05153v1

    • [cs.CV]Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation
    Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes Paetzold, Andrei Gafita, Jan Peeken, Stephanie Combs, Bjoern Menze
    http://arxiv.org/abs/1908.05099v1

    • [cs.CV]Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point Process
    Qingzhong Wang, Antoni B. Chan
    http://arxiv.org/abs/1908.04919v1

    • [cs.CV]Transferable Representation Learning in Vision-and-Language Navigation
    Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhaes, Jason Baldridge, Eugene Ie
    http://arxiv.org/abs/1908.03409v2

    • [cs.CV]Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
    Qing Yu, Kiyoharu Aizawa
    http://arxiv.org/abs/1908.04951v1

    • [cs.CV]VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
    Cătălina Cangea, Eugene Belilovsky, Pietro Liò, Aaron Courville
    http://arxiv.org/abs/1908.04950v1

    • [cs.DC]Aleph: Efficient Atomic Broadcast in Asynchronous Networks with Byzantine Nodes
    Adam Gągol, Damian Leśniak, Damian Straszak, Michał Świętek
    http://arxiv.org/abs/1908.05156v1

    • [cs.DC]Energy and Performance Analysis of STTRAM Caches for Mobile Applications
    Kyle Kuan, Tosiron Adegbija
    http://arxiv.org/abs/1908.04744v1

    • [cs.DC]Serverless Supercomputing: High Performance Function as a Service for Science
    Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian Foster, Kyle Chard
    http://arxiv.org/abs/1908.04907v1

    • [cs.DS]Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost
    Barna Saha, Sanjay Subramanian
    http://arxiv.org/abs/1908.04976v1

    • [cs.HC]Why Should the Q-method be Integrated Into the Design Science Research? A Systematic Mapping Study
    Irawan Nurhas, Stefan Geisler, Jan Pawlowski
    http://arxiv.org/abs/1908.05203v1

    • [cs.IT]Computing and Communicating Functions in Disorganized Wireless Networks
    Fangzhou Wu, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu, Guo Wei
    http://arxiv.org/abs/1908.05030v1

    • [cs.IT]Cross-Layer Scheduling and Beamforming in Smart Grid Powered Small-Cell Networks
    Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung
    http://arxiv.org/abs/1908.04887v1

    • [cs.IT]Joint Precoding and Power Control in Small-Cell Networks With Proportional-Rate MISO-BC Backhaul
    Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung
    http://arxiv.org/abs/1908.04885v1

    • [cs.IT]Low-PAPR Multi-channel OOK Waveform for IEEE 802.11ba Wake-up Radio
    Alphan Sahin, Xiaofei Wang, Hanqing Lou, Rui Yang
    http://arxiv.org/abs/1908.04940v1

    • [cs.IT]Performance Characterization of Canonical Mobility Models in Drone Cellular Networks
    Morteza Banagar, Harpreet S. Dhillon
    http://arxiv.org/abs/1908.05243v1

    • [cs.LG]A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN
    Grigorios G. Anagnostopoulos, Alexandros Kalousis
    http://arxiv.org/abs/1908.05085v1

    • [cs.LG]AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
    Ke Sun, Zhouchen Lin, Zhanxing Zhu
    http://arxiv.org/abs/1908.05081v1

    • [cs.LG]Constrained Multi-Objective Optimization for Automated Machine Learning
    Steven Gardner, Oleg Golovidov, Joshua Griffin, Patrick Koch, Wayne Thompson, Brett Wujek, Yan Xu
    http://arxiv.org/abs/1908.04909v1

    • [cs.LG]Harmonized Multimodal Learning with Gaussian Process Latent Variable Models
    Guoli Song, Shuhui Wang, Qingming Huang, Qi Tian
    http://arxiv.org/abs/1908.04979v1

    • [cs.LG]Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model
    Wenbo Gong, Sebastian Tschiatschek, Richard Turner, Sebastian Nowozin, José Miguel Hernández-Lobato, Cheng Zhang
    http://arxiv.org/abs/1908.04537v2

    • [cs.LG]Local Score Dependent Model Explanation for Time Dependent Covariates
    Xochitl Watts, Freddy Lecue
    http://arxiv.org/abs/1908.04839v1

    • [cs.LG]Optimizing for Interpretability in Deep Neural Networks with Tree Regularization
    Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez
    http://arxiv.org/abs/1908.05254v1

    • [cs.LG]Requirements Engineering for Machine Learning: Perspectives from Data Scientists
    Andreas Vogelsang, Markus Borg
    http://arxiv.org/abs/1908.04674v1

    • [cs.LG]Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding
    Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
    http://arxiv.org/abs/1908.05161v1

    • [cs.LG]Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity
    Yang Hu, Giovanni Montana
    http://arxiv.org/abs/1908.05265v1

    • [cs.LG]Tensor-Train Parameterization for Ultra Dimensionality Reduction
    Mingyuan Bai, S. T. Boris Choy, Xin Song, Junbin Gao
    http://arxiv.org/abs/1908.04924v1

    • [cs.LG]Thompson Sampling and Approximate Inference
    My Phan, Yasin Abbasi-Yadkori, Justin Domke
    http://arxiv.org/abs/1908.04970v1

    • [cs.LG]Unconstrained Monotonic Neural Networks
    Antoine Wehenkel, Gilles Louppe
    http://arxiv.org/abs/1908.05164v1

    • [cs.LG]Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring
    Lucas May Petry, Amilcar Soares, Vania Bogorny, Stan Matwin
    http://arxiv.org/abs/1908.05103v1

    • [cs.LG]Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning
    Chuanxing Geng, Lue Tao, Songcan Chen
    http://arxiv.org/abs/1908.03983v2

    • [cs.LG]Visualizing Image Content to Explain Novel Image Discovery
    Jake H. Lee, Kiri L. Wagstaff
    http://arxiv.org/abs/1908.05006v1

    • [cs.NE]A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction
    Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham
    http://arxiv.org/abs/1908.04784v1

    • [cs.NE]Neural Network Predictive Controller for Grid-Connected Virtual Synchronous Generator
    Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch
    http://arxiv.org/abs/1908.05199v1

    • [cs.NI]Meeting QoS of Users in a Edge to Cloud Platform via Optimally Placing Services and Scheduling Tasks
    Matthew Turner, Hana Khamfroush
    http://arxiv.org/abs/1908.04824v1

    • [cs.RO]Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach
    Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober
    http://arxiv.org/abs/1908.05256v1

    • [cs.RO]Control Of Mobile Robots Using Barrier Functions Under Temporal Logic Specifications
    Mohit Srinivasan, Samuel Coogan
    http://arxiv.org/abs/1908.04903v1

    • [cs.RO]Fog Robotics: A Summary, Challenges and Future Scope
    Siva Leela Krishna Chand Gudi, Benjamin Johnston, Mary-Anne Williams
    http://arxiv.org/abs/1908.04935v1

    • [cs.RO]Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
    Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Gu, Vikash Kumar
    http://arxiv.org/abs/1908.05224v1

    • [cs.RO]Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks
    Joseph Campbell, Simon Stepputtis, Heni Ben Amor
    http://arxiv.org/abs/1908.04955v1

    • [cs.RO]Robust Translational Force Control of Multi-Rotor UAV for Precise Acceleration Tracking
    Seung Jae Lee, Seung Hyun Kim, H. Jin Kim
    http://arxiv.org/abs/1908.05007v1

    • [cs.RO]Swimming locomotion of Soft Robotic Snakes
    Isuru S. Godage
    http://arxiv.org/abs/1908.05250v1

    • [cs.SD]Interleaved Multitask Learning for Audio Source Separation with Independent Databases
    Clement S. J. Doire, Olumide Okubadejo
    http://arxiv.org/abs/1908.05182v1

    • [cs.SI]How often should I access my online social networks?
    Eduardo Hargreaves, Daniel Sadoc Menasché, Giovanni Neglia
    http://arxiv.org/abs/1908.04811v1

    • [cs.SI]Temporal Analysis of Reddit Networks via Role Embeddings
    Siobhan Grayson, Derek Greene
    http://arxiv.org/abs/1908.05192v1

    • [eess.IV]Boosting Liver and Lesion Segmentation from CT Scans By Mask Mining
    Karsten Roth, Jürgen Hesser, Tomasz Konopczyński
    http://arxiv.org/abs/1908.05062v1

    • [eess.IV]D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation
    Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang
    http://arxiv.org/abs/1908.05104v1

    • [eess.IV]Histographs: Graphs in Histopathology
    Shrey Gadiya, Deepak Anand, Amit Sethi
    http://arxiv.org/abs/1908.05020v1

    • [eess.IV]Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
    Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
    http://arxiv.org/abs/1908.04126v2

    • [eess.IV]Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN
    Xumin Tao, Hongrong Wei, Wufeng Xue, Dong Ni
    http://arxiv.org/abs/1908.05094v1

    • [eess.IV]Structural Similarity based Anatomical and Functional Brain Imaging Fusion
    Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold
    http://arxiv.org/abs/1908.03958v3

    • [eess.SY]Dual Heuristic Dynamic Programing Control of Grid-Connected Synchronverters
    Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi
    http://arxiv.org/abs/1908.05191v1

    • [math.CO]On Occupancy Moments and Bloom Filter Efficiency
    Jonathan Burns
    http://arxiv.org/abs/1908.04810v1

    • [math.OC]A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics
    Anirudha Majumdar, Georgina Hall, Amir Ali Ahmadi
    http://arxiv.org/abs/1908.05209v1

    • [math.ST]On rank estimators in increasing dimensions
    Yanqin Fan, Fang Han, Wei Li, Xiao-Hua Zhou
    http://arxiv.org/abs/1908.05255v1

    • [physics.optics]Generative Multi-Functional Meta-Atom and Metasurface Design Networks
    Sensong An, Bowen Zheng, Hong Tang, Mikhail Y. Shalaginov, Li Zhou, Hang Li, Tian Gu, Juejun Hu, Clayton Fowler, Hualiang Zhang
    http://arxiv.org/abs/1908.04851v1

    • [physics.soc-ph]On community structure in complex networks: challenges and opportunities
    Hocine Cherifi, Gergely Palla, Boleslaw K. Szymanski, Xiaoyan Lu
    http://arxiv.org/abs/1908.04901v1

    • [q-bio.QM]Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics
    Casey M. Fleeter, Gianluca Geraci, Daniele E. Schiavazzi, Andrew M. Kahn, Alison L. Marsden
    http://arxiv.org/abs/1908.04875v1

    • [stat.ME]Borrowing of information across patient subgroups in a basket trial based on distributional discrepancy
    Haiyan Zheng, James M. S. Wason
    http://arxiv.org/abs/1908.05091v1

    • [stat.ME]Causal discovery in heavy-tailed models
    Nicola Gnecco, Nicolai Meinshausen, Jonas Peters, Sebastian Engelke
    http://arxiv.org/abs/1908.05097v1

    • [stat.ME]Large-dimensional Factor Analysis without Moment Constraints
    Yong He, Xinbing Kong, Long Yu
    http://arxiv.org/abs/1908.04957v1

    • [stat.ME]Least Squares Approximation for a Distributed System
    Xuening Zhu, Feng Li, Hansheng Wang
    http://arxiv.org/abs/1908.04904v1

    • [stat.ME]Modelling columnarity of pyramidal cells in the human cerebral cortex
    Andreas D. Christoffersen, Jesper Møller, Heidi S. Christensen
    http://arxiv.org/abs/1908.05065v1

    • [stat.ME]R-miss-tastic: a unified platform for missing values methods and workflows
    Imke Mayer, Julie Josse, Nicholas Tierney, Nathalie Vialaneix
    http://arxiv.org/abs/1908.04822v1