astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.ET - 新兴技术 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 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 econ.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 q-bio.NC - 神经元与认知 q-fin.TR - 贸易与市场微观结构 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Contour Detection in Cassini ISS images based on Hierarchical Extreme Learning Machine and Dense Conditional Random Field
    • [astro-ph.IM]Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates
    • [cs.AI]Report on the First Knowledge Graph Reasoning Challenge 2018 — Toward the eXplainable AI System
    • [cs.AI]SCF2 — an Argumentation Semantics for Rational Human Judgments on Argument Acceptability: Technical Report
    • [cs.AI]The double traveling salesman problem with partial last-in-first-out loading constraints
    • [cs.AI]The many Shapley values for model explanation
    • [cs.CL]”Mask and Infill” : Applying Masked Language Model to Sentiment Transfer
    • [cs.CL]A Neural Model for Dialogue Coherence Assessment
    • [cs.CL]Active Learning for Chinese Word Segmentation in Medical Text
    • [cs.CL]Argument Invention from First Principles
    • [cs.CL]Denoising based Sequence-to-Sequence Pre-training for Text Generation
    • [cs.CL]Dual Skew Divergence Loss for Neural Machine Translation
    • [cs.CL]Entropy-Enhanced Multimodal Attention Model for Scene-Aware Dialogue Generation
    • [cs.CL]LXMERT: Learning Cross-Modality Encoder Representations from Transformers
    • [cs.CL]Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior
    • [cs.CL]Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
    • [cs.CL]Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation
    • [cs.CL]Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies
    • [cs.CL]Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
    • [cs.CL]Revisit Semantic Representation and Tree Search for Similar Question Retrieval
    • [cs.CL]Text Summarization with Pretrained Encoders
    • [cs.CL]The compositionality of neural networks: integrating symbolism and connectionism
    • [cs.CL]Unsupervised Lemmatization as Embeddings-Based Word Clustering
    • [cs.CL]X-SQL: reinforce schema representation with context
    • [cs.CV]3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
    • [cs.CV]Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery
    • [cs.CV]Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement
    • [cs.CV]Asymmetric Non-local Neural Networks for Semantic Segmentation
    • [cs.CV]Compositional Video Prediction
    • [cs.CV]Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks
    • [cs.CV]EGNet:Edge Guidance Network for Salient Object Detection
    • [cs.CV]EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition
    • [cs.CV]Globally optimal registration of noisy point clouds
    • [cs.CV]Indoor Depth Completion with Boundary Consistency and Self-Attention
    • [cs.CV]Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
    • [cs.CV]Multi-Stream Single Shot Spatial-Temporal Action Detection
    • [cs.CV]Multiple instance dense connected convolution neural network for aerial image scene classification
    • [cs.CV]Noise Flow: Noise Modeling with Conditional Normalizing Flows
    • [cs.CV]Object detection on aerial imagery using CenterNet
    • [cs.CV]Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets
    • [cs.CV]Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance from Motion
    • [cs.CV]Progressive Face Super-Resolution via Attention to Facial Landmark
    • [cs.CV]Saliency Methods for Explaining Adversarial Attacks
    • [cs.CV]Scoot: A Perceptual Metric for Facial Sketches
    • [cs.CV]Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
    • [cs.CV]Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning
    • [cs.CV]Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimation
    • [cs.CV]Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images
    • [cs.CV]VL-BERT: Pre-training of Generic Visual-Linguistic Representations
    • [cs.CV]ViCo: Word Embeddings from Visual Co-occurrences
    • [cs.CY]Auditing Radicalization Pathways on YouTube
    • [cs.CY]Libra: Is it Really about Money?
    • [cs.DC]Deconstructing Blockchains: A Comprehensive Survey on Consensus, Membership and Structure
    • [cs.ET]Implications of Quantum Computing for Artificial Intelligence alignment research
    • [cs.IR]Measuring the Business Value of Recommender Systems
    • [cs.IR]Session-based Complementary Fashion Recommendations
    • [cs.IR]Tale of tails using rule augmented sequence labeling for event extraction
    • [cs.IR]Two-Stage Session-based Recommendations with Candidate Rank Embeddings
    • [cs.IT]Affine equivalence for quadratic rotation symmetric Boolean functions
    • [cs.IT]Coordination Through Shared Randomness
    • [cs.IT]Experimental Analysis of Harvested Energy and Throughput Trade-off in a Realistic SWIPT System
    • [cs.IT]RadChat: Spectrum Sharing for Automotive Radar Interference Mitigation
    • [cs.LG]A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access
    • [cs.LG]A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics
    • [cs.LG]A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
    • [cs.LG]A Neural Network for Semi-Supervised Learning on Manifolds
    • [cs.LG]An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning
    • [cs.LG]Data Context Adaptation for Accurate Recommendation with Additional Information
    • [cs.LG]Deep Reinforcement Learning for Foreign Exchange Trading
    • [cs.LG]Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
    • [cs.LG]DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums
    • [cs.LG]Dynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs
    • [cs.LG]Efficient Cross-Validation of Echo State Networks
    • [cs.LG]Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
    • [cs.LG]Finite Precision Stochastic Optimisation — Accounting for the Bias
    • [cs.LG]Hebbian Graph Embeddings
    • [cs.LG]Learning stochastic differential equations using RNN with log signature features
    • [cs.LG]LoRAS: An oversampling approach for imbalanced datasets
    • [cs.LG]NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations
    • [cs.LG]Practical Risk Measures in Reinforcement Learning
    • [cs.LG]Semi-supervised Adversarial Active Learning on Attributed Graphs
    • [cs.LG]The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy
    • [cs.LG]Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning
    • [cs.LG]Transferability and Hardness of Supervised Classification Tasks
    • [cs.MM]ColorNet — Estimating Colorfulness in Natural Images
    • [cs.NI]Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks
    • [cs.RO]A Hybrid Method for Online Trajectory Planning of Mobile Robots in Cluttered Environments
    • [cs.RO]A Wearable Tactile Sensor Array for Large Area Remote Vibration Sensing in the Hand
    • [cs.RO]BIM-assisted object recognition for the on-site autonomous robotic assembly of discrete structures
    • [cs.RO]Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks
    • [cs.RO]MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research
    • [cs.RO]Simulation Model of Two-Robot Cooperation in Common Operating Environment
    • [cs.SD]Coarse-to-fine Optimization for Speech Enhancement
    • [cs.SI]A new measure of modularity density for community detection
    • [cs.SI]Block Randomized Optimization for Adaptive Hypergraph Learning
    • [cs.SI]Sentiment Dynamics in Social Media News Channels
    • [cs.SI]Two Decades of Network Science as seen through the co-authorship network of network scientists
    • [cs.SI]Using Social Media for Word-of-Mouth Marketing
    • [cs.SI]motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks
    • [econ.GN]Forecasting e-scooter competition with direct and access trips by mode and distance in New York City
    • [eess.IV]A CNN toolbox for skin cancer classification
    • [eess.IV]An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures
    • [eess.IV]Boundary Aware Networks for Medical Image Segmentation
    • [eess.IV]Building change detection based on multi-scale filtering and grid partition
    • [eess.IV]Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection
    • [eess.IV]DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
    • [eess.IV]Image Colorization By Capsule Networks
    • [eess.IV]Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning
    • [eess.IV]More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation
    • [eess.IV]Motion correction of dynamic contrast enhanced MRI of the liver
    • [eess.IV]Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation
    • [eess.IV]U-Net Training with Instance-Layer Normalization
    • [eess.SP]Distributed Cooperative Online Estimation With Random Observation Matrices, Communication Graphs and Time-Delays
    • [eess.SP]LEAP nets for power grid perturbations
    • [eess.SP]Optimal step-size of least mean absolute fourth algorithm in low SNR
    • [eess.SY]Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques
    • [math.CO]K-Nearest Neighbor Approximation Via the Friend-of-a-Friend Principle
    • [math.CO]The spectra of generalized Paley graphs and their associated irreducible cyclic codes
    • [math.NA]Iterative Hard Thresholding for Low CP-rank Tensor Models
    • [math.OC]A General Analysis Framework of Lower Complexity Bounds for Finite-Sum Optimization
    • [math.OC]On the convergence of single-call stochastic extra-gradient methods
    • [math.ST]Expectile based measures of skewness
    • [math.ST]`Regression Anytime’ with Brute-Force SVD Truncation
    • [q-bio.NC]DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis
    • [q-fin.TR]Intra-day Equity Price Prediction using Deep Learning as a Measure of Market Efficiency
    • [quant-ph]Automated quantum programming via reinforcement learning for combinatorial optimization
    • [quant-ph]Improving the dynamics of quantum sensors with reinforcement learning
    • [quant-ph]Minimal degenerate CSS quantum code with low cost circuit
    • [stat.AP]An Email Experiment to Identify the Effect of Racial Discrimination on Access to Lawyers: A Statistical Approach
    • [stat.AP]Onset detection: A new approach to QBH system
    • [stat.AP]Statistical approaches using longitudinal biomarkers for disease early detection: A comparison of methodologies
    • [stat.AP]There is no Reliable Way to Detect Hacked Ballot-Marking Devices
    • [stat.ME]Hierarchical Bayes Modeling for Large-Scale Inference
    • [stat.ME]Insights and Inference for the Proportion Below the Relative Poverty Line
    • [stat.ME]Minimum Description Length Revisited
    • [stat.ME]Model-free Feature Screening and FDR Control with Knockoff Features
    • [stat.ME]Paired Test of Matrix Graphs and Brain Connectivity Analysis
    • [stat.ME]Spatial and Spatiotemporal GARCH Models — A Unified Approach
    • [stat.ML]Adaptive Configuration Oracle for Online Portfolio Selection Methods
    • [stat.ML]BRIDGE: Byzantine-resilient Decentralized Gradient Descent
    • [stat.ML]How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets
    • [stat.ML]Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms

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    • [astro-ph.IM]Contour Detection in Cassini ISS images based on Hierarchical Extreme Learning Machine and Dense Conditional Random Field
    Xiqi Yang, Qingfeng Zhang, Zhan Li
    http://arxiv.org/abs/1908.08279v1

    • [astro-ph.IM]Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates
    Miles D. Cranmer, Richard Galvez, Lauren Anderson, David N. Spergel, Shirley Ho
    http://arxiv.org/abs/1908.08045v1

    • [cs.AI]Report on the First Knowledge Graph Reasoning Challenge 2018 — Toward the eXplainable AI System
    Takahiro Kawamura, Shusaku Egami, Koutarou Tamura, Yasunori Hokazono, Takanori Ugai, Yusuke Koyanagi, Fumihito Nishino, Seiji Okajima, Katsuhiko Murakami, Kunihiko Takamatsu, Aoi Sugiura, Shun Shiramatsu, Shawn Zhang, Kouji Kozaki
    http://arxiv.org/abs/1908.08184v1

    • [cs.AI]SCF2 — an Argumentation Semantics for Rational Human Judgments on Argument Acceptability: Technical Report
    Marcos Cramer, Leendert van der Torre
    http://arxiv.org/abs/1908.08406v1

    • [cs.AI]The double traveling salesman problem with partial last-in-first-out loading constraints
    Jonatas B. C. Chagas, Túlio A. M. Toffolo, Marcone J. F. Souza, Manuel Iori
    http://arxiv.org/abs/1908.08494v1

    • [cs.AI]The many Shapley values for model explanation
    Mukund Sundararajan, Amir Najmi
    http://arxiv.org/abs/1908.08474v1

    • [cs.CL]“Mask and Infill” : Applying Masked Language Model to Sentiment Transfer
    Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu
    http://arxiv.org/abs/1908.08039v1

    • [cs.CL]A Neural Model for Dialogue Coherence Assessment
    Mohsen Mesgar, Sebastian Bücker, Iryna Gurevych
    http://arxiv.org/abs/1908.08486v1

    • [cs.CL]Active Learning for Chinese Word Segmentation in Medical Text
    Tingting Cai, Yangming Zhou, Zhiyuan Ma, Hong Zheng, Lingfei Zhang, Ping He, Ju Gao
    http://arxiv.org/abs/1908.08419v1

    • [cs.CL]Argument Invention from First Principles
    Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim
    http://arxiv.org/abs/1908.08336v1

    • [cs.CL]Denoising based Sequence-to-Sequence Pre-training for Text Generation
    Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li, Jingming Liu
    http://arxiv.org/abs/1908.08206v1

    • [cs.CL]Dual Skew Divergence Loss for Neural Machine Translation
    Fengshun Xiao, Yingting Wu, Hai Zhao, Rui Wang, Shu Jiang
    http://arxiv.org/abs/1908.08399v1

    • [cs.CL]Entropy-Enhanced Multimodal Attention Model for Scene-Aware Dialogue Generation
    Kuan-Yen Lin, Chao-Chun Hsu, Yun-Nung Chen, Lun-Wei Ku
    http://arxiv.org/abs/1908.08191v1

    • [cs.CL]LXMERT: Learning Cross-Modality Encoder Representations from Transformers
    Hao Tan, Mohit Bansal
    http://arxiv.org/abs/1908.07490v2

    • [cs.CL]Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior
    Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho
    http://arxiv.org/abs/1908.07181v2

    • [cs.CL]Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
    Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
    http://arxiv.org/abs/1908.08167v1

    • [cs.CL]Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation
    Alfio Gliozzo, Michael R. Glass, Sarthak Dash, Mustafa Canim
    http://arxiv.org/abs/1908.08104v1

    • [cs.CL]Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies
    Mahsa Shafaei, Niloofar Safi Samghabadi, Sudipta Kar, Thamar Solorio
    http://arxiv.org/abs/1908.07819v2

    • [cs.CL]Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
    Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, Dongyan Zhao
    http://arxiv.org/abs/1908.08210v1

    • [cs.CL]Revisit Semantic Representation and Tree Search for Similar Question Retrieval
    Tong Guo, Huilin Gao
    http://arxiv.org/abs/1908.08326v1

    • [cs.CL]Text Summarization with Pretrained Encoders
    Yang Liu, Mirella Lapata
    http://arxiv.org/abs/1908.08345v1

    • [cs.CL]The compositionality of neural networks: integrating symbolism and connectionism
    Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni
    http://arxiv.org/abs/1908.08351v1

    • [cs.CL]Unsupervised Lemmatization as Embeddings-Based Word Clustering
    Rudolf Rosa, Zdeněk Žabokrtský
    http://arxiv.org/abs/1908.08528v1

    • [cs.CL]X-SQL: reinforce schema representation with context
    Pengcheng He, Yi Mao, Kaushik Chakrabarti, Weizhu Chen
    http://arxiv.org/abs/1908.08113v1

    • [cs.CV]3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
    Sanath Narayan, Hisham Cholakkal, Fahad Shabaz Khan, Ling Shao
    http://arxiv.org/abs/1908.08216v1

    • [cs.CV]Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery
    Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, Meng Wang
    http://arxiv.org/abs/1908.07860v2

    • [cs.CV]Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement
    Zhiqiang Shen, Zhankui He, Wanyun Cui, Jiahui Yu, Yutong Zheng, Chenchen Zhu, Marios Savvides
    http://arxiv.org/abs/1908.08520v1

    • [cs.CV]Asymmetric Non-local Neural Networks for Semantic Segmentation
    Zhen Zhu, Mengdu Xu, Song Bai, Tengteng Huang, Xiang Bai
    http://arxiv.org/abs/1908.07678v2

    • [cs.CV]Compositional Video Prediction
    Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani
    http://arxiv.org/abs/1908.08522v1

    • [cs.CV]Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks
    Dominique Beaini, Sofiane Achiche, Alexandre Duperré, Maxime Raison
    http://arxiv.org/abs/1908.08331v1

    • [cs.CV]EGNet:Edge Guidance Network for Salient Object Detection
    Jia-Xing Zhao, Jiangjiang Liu, Den-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng
    http://arxiv.org/abs/1908.08297v1

    • [cs.CV]EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition
    Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen
    http://arxiv.org/abs/1908.08498v1

    • [cs.CV]Globally optimal registration of noisy point clouds
    Rangaprasad Arun Srivatsan, Tejas Zodage, Howie Choset
    http://arxiv.org/abs/1908.08162v1

    • [cs.CV]Indoor Depth Completion with Boundary Consistency and Self-Attention
    Yu-Kai Huang, Tsung-Han Wu, Yueh-Cheng Liu, Winston H. Hsu
    http://arxiv.org/abs/1908.08344v1

    • [cs.CV]Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
    Minghui Liao, Pengyuan Lyu, Minghang He, Cong Yao, Wenhao Wu, Xiang Bai
    http://arxiv.org/abs/1908.08207v1

    • [cs.CV]Multi-Stream Single Shot Spatial-Temporal Action Detection
    Pengfei Zhang, Yu Cao, Benyuan Liu
    http://arxiv.org/abs/1908.08178v1

    • [cs.CV]Multiple instance dense connected convolution neural network for aerial image scene classification
    Qi Bi, Kun Qin, Zhili Li, Han Zhang, Kai Xu
    http://arxiv.org/abs/1908.08156v1

    • [cs.CV]Noise Flow: Noise Modeling with Conditional Normalizing Flows
    Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown
    http://arxiv.org/abs/1908.08453v1

    • [cs.CV]Object detection on aerial imagery using CenterNet
    Dheeraj Reddy Pailla, Varghese Kollerathu, Sai Saketh Chennamsetty
    http://arxiv.org/abs/1908.08244v1

    • [cs.CV]Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets
    Zhan Xu, Yang Zhou, Evangelos Kalogerakis, Karan Singh
    http://arxiv.org/abs/1908.08506v1

    • [cs.CV]Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance from Motion
    Chunyu Li, Yusuke Monno, Hironori Hidaka, Masatoshi Okutomi
    http://arxiv.org/abs/1908.08185v1

    • [cs.CV]Progressive Face Super-Resolution via Attention to Facial Landmark
    Deokyun Kim, Minseon Kim, Gihyun Kwon, Dae-Shik Kim
    http://arxiv.org/abs/1908.08239v1

    • [cs.CV]Saliency Methods for Explaining Adversarial Attacks
    Jindong Gu, Volker Tresp
    http://arxiv.org/abs/1908.08413v1

    • [cs.CV]Scoot: A Perceptual Metric for Facial Sketches
    Deng-Ping Fan, ShengChuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji
    http://arxiv.org/abs/1908.08433v1

    • [cs.CV]Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
    Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou
    http://arxiv.org/abs/1908.07669v2

    • [cs.CV]Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning
    Jyoti Aneja, Harsh Agrawal, Dhruv Batra, Alexander Schwing
    http://arxiv.org/abs/1908.08529v1

    • [cs.CV]Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimation
    Jiahao Lin, Gim Hee Lee
    http://arxiv.org/abs/1908.08289v1

    • [cs.CV]Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images
    Jiexiang Wang, Chen Bian, Meng Li, Xin Yang, Kai Ma, Wenao Ma, Jin Yuan, Xinghao Ding, Yefeng Zheng
    http://arxiv.org/abs/1908.08242v1

    • [cs.CV]VL-BERT: Pre-training of Generic Visual-Linguistic Representations
    Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai
    http://arxiv.org/abs/1908.08530v1

    • [cs.CV]ViCo: Word Embeddings from Visual Co-occurrences
    Tanmay Gupta, Alexander Schwing, Derek Hoiem
    http://arxiv.org/abs/1908.08527v1

    • [cs.CY]Auditing Radicalization Pathways on YouTube
    Manoel Horta Ribeiro, Raphael Ottoni, Robert West, Virgílio A. F. Almeida, Wagner Meira
    http://arxiv.org/abs/1908.08313v1

    • [cs.CY]Libra: Is it Really about Money?
    Valerie Khan, Geoffrey Goodell
    http://arxiv.org/abs/1908.07474v2

    • [cs.DC]Deconstructing Blockchains: A Comprehensive Survey on Consensus, Membership and Structure
    Christopher Natoli, Jiangshan Yu, Vincent Gramoli, Paulo Esteves-Verissimo
    http://arxiv.org/abs/1908.08316v1

    • [cs.ET]Implications of Quantum Computing for Artificial Intelligence alignment research
    Jaime Sevilla, Pablo Moreno
    http://arxiv.org/abs/1908.07613v2

    • [cs.IR]Measuring the Business Value of Recommender Systems
    Dietmar Jannach, Michael Jugovac
    http://arxiv.org/abs/1908.08328v1

    • [cs.IR]Session-based Complementary Fashion Recommendations
    Jui-Chieh Wu, José Antonio Sánchez Rodríguez, Humberto Jesús Corona Pampín
    http://arxiv.org/abs/1908.08327v1

    • [cs.IR]Tale of tails using rule augmented sequence labeling for event extraction
    Hrishikesh Patel, Nandan Rathod, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Pushpak Bhattacharyya
    http://arxiv.org/abs/1908.07018v2

    • [cs.IR]Two-Stage Session-based Recommendations with Candidate Rank Embeddings
    José Antonio Sánchez Rodríguez, Jui-Chieh Wu, Mustafa Khandwawala
    http://arxiv.org/abs/1908.08284v1

    • [cs.IT]Affine equivalence for quadratic rotation symmetric Boolean functions
    Alexandru Chirvasitu, Thomas W. Cusick
    http://arxiv.org/abs/1908.08448v1

    • [cs.IT]Coordination Through Shared Randomness
    Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
    http://arxiv.org/abs/1908.08407v1

    • [cs.IT]Experimental Analysis of Harvested Energy and Throughput Trade-off in a Realistic SWIPT System
    Junghoon Kim, Bruno Clerckx, Paul D. Mitcheson
    http://arxiv.org/abs/1908.08272v1

    • [cs.IT]RadChat: Spectrum Sharing for Automotive Radar Interference Mitigation
    Canan Aydogdu, Musa Furkan Keskin, Nil Garcia, Henk Wymeersch, Daniel W. Bliss
    http://arxiv.org/abs/1908.08280v1

    • [cs.LG]A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access
    Chen Zhong, Ziyang Lu, M. Cenk Gursoy, Senem Velipasalar
    http://arxiv.org/abs/1908.08401v1

    • [cs.LG]A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics
    Hongzhi Wang, Yijie Yang, Yang Song
    http://arxiv.org/abs/1908.08368v1

    • [cs.LG]A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
    Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
    http://arxiv.org/abs/1908.08342v1

    • [cs.LG]A Neural Network for Semi-Supervised Learning on Manifolds
    Alexander Genkin, Anirvan M. Sengupta, Dmitri Chklovskii
    http://arxiv.org/abs/1908.08145v1

    • [cs.LG]An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning
    Hongyu Li, Tianqi Han
    http://arxiv.org/abs/1908.08340v1

    • [cs.LG]Data Context Adaptation for Accurate Recommendation with Additional Information
    Hyunsik Jeon, Bonhun Koo, U Kang
    http://arxiv.org/abs/1908.08469v1

    • [cs.LG]Deep Reinforcement Learning for Foreign Exchange Trading
    Chun-Chieh Wang, Yun-Cheng Tsai
    http://arxiv.org/abs/1908.08036v1

    • [cs.LG]Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
    Nathan Kallus, Masatoshi Uehara
    http://arxiv.org/abs/1908.08526v1

    • [cs.LG]DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums
    Yuyang Gao, Lingfei Wu, Houman Homayoun, Liang Zhao
    http://arxiv.org/abs/1908.08497v1

    • [cs.LG]Dynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs
    Tim Capes, Vishal Raheja, Mete Kemertas, Iqbal Mohomed
    http://arxiv.org/abs/1908.08082v1

    • [cs.LG]Efficient Cross-Validation of Echo State Networks
    Mantas Lukoševičius, Arnas Uselis
    http://arxiv.org/abs/1908.08450v1

    • [cs.LG]Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
    Mohammad Reza Keshtkaran, Chethan Pandarinath
    http://arxiv.org/abs/1908.07896v2

    • [cs.LG]Finite Precision Stochastic Optimisation — Accounting for the Bias
    Prathamesh Mayekar, Himanshu Tyagi
    http://arxiv.org/abs/1908.08200v1

    • [cs.LG]Hebbian Graph Embeddings
    Shalin Shah, Venkataramana Kini
    http://arxiv.org/abs/1908.08037v1

    • [cs.LG]Learning stochastic differential equations using RNN with log signature features
    Shujian Liao, Terry Lyons, Weixin Yang, Hao Ni
    http://arxiv.org/abs/1908.08286v1

    • [cs.LG]LoRAS: An oversampling approach for imbalanced datasets
    Saptarshi Bej, Narek Davtyan, Markus Wolfien, Mariam Nassar, Olaf Wolkenhauer
    http://arxiv.org/abs/1908.08346v1

    • [cs.LG]NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations
    Yooseung Wang, Junghoon Seo, Taegyun Jeon
    http://arxiv.org/abs/1908.08223v1

    • [cs.LG]Practical Risk Measures in Reinforcement Learning
    Dotan Di Castro, Joel Oren, Shie Mannor
    http://arxiv.org/abs/1908.08379v1

    • [cs.LG]Semi-supervised Adversarial Active Learning on Attributed Graphs
    Yayong Li, Jie Yin, Ling Chen
    http://arxiv.org/abs/1908.08169v1

    • [cs.LG]The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy
    Guoliang Feng, Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu
    http://arxiv.org/abs/1908.08339v1

    • [cs.LG]Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning
    Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen
    http://arxiv.org/abs/1908.08507v1

    • [cs.LG]Transferability and Hardness of Supervised Classification Tasks
    Anh T. Tran, Cuong V. Nguyen, Tal Hassner
    http://arxiv.org/abs/1908.08142v1

    • [cs.MM]ColorNet — Estimating Colorfulness in Natural Images
    Emin Zerman, Aakanksha Rana, Aljosa Smolic
    http://arxiv.org/abs/1908.08505v1

    • [cs.NI]Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks
    Tania Panayiotou, Giannis Savva, Ioannis Tomkos, Georgios Ellinas
    http://arxiv.org/abs/1908.08338v1

    • [cs.RO]A Hybrid Method for Online Trajectory Planning of Mobile Robots in Cluttered Environments
    Leobardo Campos-Macías, David Gómez-Gutiérrez, Rodrigo Aldana-López, Rafael de la Guardia, José I. Parra-Vilchis
    http://arxiv.org/abs/1908.08493v1

    • [cs.RO]A Wearable Tactile Sensor Array for Large Area Remote Vibration Sensing in the Hand
    Yitian Shao, Hui Hu, Yon Visell
    http://arxiv.org/abs/1908.08199v1

    • [cs.RO]BIM-assisted object recognition for the on-site autonomous robotic assembly of discrete structures
    Mohamed Dawod, Sean Hanna
    http://arxiv.org/abs/1908.08209v1

    • [cs.RO]Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks
    Christian R. G. Dreher, Mirko Wächter, Tamim Asfour
    http://arxiv.org/abs/1908.08391v1

    • [cs.RO]MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research
    Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove, Matt Schmittle, Colin Summers, Matthew Rockett, Joshua R. Smith, Sanjiban Choudhury, Christoforos Mavrogiannis, Fereshteh Sadeghi
    http://arxiv.org/abs/1908.08031v2

    • [cs.RO]Simulation Model of Two-Robot Cooperation in Common Operating Environment
    V. Ya. Vilisov, B. Yu. Murashkin, A. I. Kulikov
    http://arxiv.org/abs/1908.08485v1

    • [cs.SD]Coarse-to-fine Optimization for Speech Enhancement
    Jian Yao, Ahmad Al-Dahle
    http://arxiv.org/abs/1908.08044v1

    • [cs.SI]A new measure of modularity density for community detection
    Swathi M. Mula, Gerardo Veltri
    http://arxiv.org/abs/1908.08452v1

    • [cs.SI]Block Randomized Optimization for Adaptive Hypergraph Learning
    Georgios Karantaidis, Ioannis Sarridis, Constantine Kotropoulos
    http://arxiv.org/abs/1908.08281v1

    • [cs.SI]Sentiment Dynamics in Social Media News Channels
    Nagendra Kumar, Rakshita Nagalla, Tanya Marwah, Manish Singh
    http://arxiv.org/abs/1908.08147v1

    • [cs.SI]Two Decades of Network Science as seen through the co-authorship network of network scientists
    Roland Molontay, Marcell Nagy
    http://arxiv.org/abs/1908.08478v1

    • [cs.SI]Using Social Media for Word-of-Mouth Marketing
    Nagendra Kumar, Yash Chandarana, K. Anand, Manish Singh
    http://arxiv.org/abs/1908.08298v1

    • [cs.SI]motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks
    Manoj Reddy Dareddy, Mahashweta Das, Hao Yang
    http://arxiv.org/abs/1908.08227v1

    • [econ.GN]Forecasting e-scooter competition with direct and access trips by mode and distance in New York City
    Mina Lee, Joseph Y. J. Chow, Gyugeun Yoon, Brian Yueshuai He
    http://arxiv.org/abs/1908.08127v1

    • [eess.IV]A CNN toolbox for skin cancer classification
    Fabrizio Nunnari, Daniel Sonntag
    http://arxiv.org/abs/1908.08187v1

    • [eess.IV]An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures
    Chihiro Go, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya
    http://arxiv.org/abs/1908.08195v1

    • [eess.IV]Boundary Aware Networks for Medical Image Segmentation
    Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko
    http://arxiv.org/abs/1908.08071v1

    • [eess.IV]Building change detection based on multi-scale filtering and grid partition
    Qi Bi, Kun Qin, Han Zhang, Wenjun Han, Zhili Li, Kai Xu
    http://arxiv.org/abs/1908.08164v1

    • [eess.IV]Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection
    Yong-Ho Yoo, Ue-Hwan Kim, Jong-Hwan Kim
    http://arxiv.org/abs/1908.08204v1

    • [eess.IV]DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
    Haoliang Sun, Ronak Mehta, Hao H. Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
    http://arxiv.org/abs/1908.08074v1

    • [eess.IV]Image Colorization By Capsule Networks
    Gökhan Özbulak
    http://arxiv.org/abs/1908.08307v1

    • [eess.IV]Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning
    Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, David Atkinson, Kris Thielemans, Brian Hutton, M Jorge Cardoso, Sebastien Ourselin
    http://arxiv.org/abs/1908.08431v1

    • [eess.IV]More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation
    Yunguan Fu, Maria R. Robu, Bongjin Koo, Crispin Schneider, Stijn van Laarhoven, Danail Stoyanov, Brian Davidson, Matthew J. Clarkson, Yipeng Hu
    http://arxiv.org/abs/1908.08035v1

    • [eess.IV]Motion correction of dynamic contrast enhanced MRI of the liver
    Mariëlle J. A. Jansen, Wouter B. Veldhuis, Maarten S. van Leeuwen, Josien P. W. Pluim
    http://arxiv.org/abs/1908.08254v1

    • [eess.IV]Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation
    Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim
    http://arxiv.org/abs/1908.08251v1

    • [eess.IV]U-Net Training with Instance-Layer Normalization
    Xiao-Yun Zhou, Qing-Biao Li, Mali Shen, Peichao Li, Zhao-Yang Wang, Guang-Zhong Yang
    http://arxiv.org/abs/1908.08466v1

    • [eess.SP]Distributed Cooperative Online Estimation With Random Observation Matrices, Communication Graphs and Time-Delays
    Jiexiang Wang, Tao Li
    http://arxiv.org/abs/1908.08245v1

    • [eess.SP]LEAP nets for power grid perturbations
    Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer
    http://arxiv.org/abs/1908.08314v1

    • [eess.SP]Optimal step-size of least mean absolute fourth algorithm in low SNR
    Sihai Guan, Chun Meng, Bharat Biswal
    http://arxiv.org/abs/1908.08165v1

    • [eess.SY]Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques
    Yuren Zhou, Clement Lork, Wen-Tai Li, Chau Yuen, Yeong Ming Keow
    http://arxiv.org/abs/1908.08176v1

    • [math.CO]K-Nearest Neighbor Approximation Via the Friend-of-a-Friend Principle
    Jacob D. Baron, R. W. R. Darling
    http://arxiv.org/abs/1908.07645v2

    • [math.CO]The spectra of generalized Paley graphs and their associated irreducible cyclic codes
    Ricardo A. Podestá, Denis E. Videla
    http://arxiv.org/abs/1908.08097v1

    • [math.NA]Iterative Hard Thresholding for Low CP-rank Tensor Models
    Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
    http://arxiv.org/abs/1908.08479v1

    • [math.OC]A General Analysis Framework of Lower Complexity Bounds for Finite-Sum Optimization
    Guangzeng Xie, Luo Luo, Zhihua Zhang
    http://arxiv.org/abs/1908.08394v1

    • [math.OC]On the convergence of single-call stochastic extra-gradient methods
    Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
    http://arxiv.org/abs/1908.08465v1

    • [math.ST]Expectile based measures of skewness
    Andreas Eberl, Bernhard Klar
    http://arxiv.org/abs/1908.08243v1

    • [math.ST]`Regression Anytime’ with Brute-Force SVD Truncation
    Christian Bender, Nikolaus Schweizer
    http://arxiv.org/abs/1908.08264v1

    • [q-bio.NC]DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis
    Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht
    http://arxiv.org/abs/1908.07957v2

    • [q-fin.TR]Intra-day Equity Price Prediction using Deep Learning as a Measure of Market Efficiency
    David Byrd, Tucker Hybinette Balch
    http://arxiv.org/abs/1908.08168v1

    • [quant-ph]Automated quantum programming via reinforcement learning for combinatorial optimization
    Keri A. McKiernan, Erik Davis, M. Sohaib Alam, Chad Rigetti
    http://arxiv.org/abs/1908.08054v1

    • [quant-ph]Improving the dynamics of quantum sensors with reinforcement learning
    Jonas Schuff, Lukas J. Fiderer, Daniel Braun
    http://arxiv.org/abs/1908.08416v1

    • [quant-ph]Minimal degenerate CSS quantum code with low cost circuit
    Ritajit Majumdar, Susmita Sur-Kolay
    http://arxiv.org/abs/1908.07229v2

    • [stat.AP]An Email Experiment to Identify the Effect of Racial Discrimination on Access to Lawyers: A Statistical Approach
    Brian Libgober, Tirthankar Dasgupta
    http://arxiv.org/abs/1908.08116v1

    • [stat.AP]Onset detection: A new approach to QBH system
    Ritwik Bhaduri, Soham Bonnerjee, Subhrajyoty Roy
    http://arxiv.org/abs/1908.07409v2

    • [stat.AP]Statistical approaches using longitudinal biomarkers for disease early detection: A comparison of methodologies
    Yongli Han, Paul S. Albert, Christine D. Berg, Nicolas Wentzensen, Hormuzd A. Katki, Danping Liu
    http://arxiv.org/abs/1908.08093v1

    • [stat.AP]There is no Reliable Way to Detect Hacked Ballot-Marking Devices
    Philip B. Stark
    http://arxiv.org/abs/1908.08144v1

    • [stat.ME]Hierarchical Bayes Modeling for Large-Scale Inference
    Daniel Yekutieli, Asaf Weinstein
    http://arxiv.org/abs/1908.08444v1

    • [stat.ME]Insights and Inference for the Proportion Below the Relative Poverty Line
    Dilanka S. Dedduwakumara, Luke A. Prendergast, Robert G. Staudte
    http://arxiv.org/abs/1908.08133v1

    • [stat.ME]Minimum Description Length Revisited
    Peter Grünwald, Teemu Roos
    http://arxiv.org/abs/1908.08484v1

    • [stat.ME]Model-free Feature Screening and FDR Control with Knockoff Features
    Wanjun Liu, Yuan Ke, Runze Li
    http://arxiv.org/abs/1908.06597v2

    • [stat.ME]Paired Test of Matrix Graphs and Brain Connectivity Analysis
    Yuting Ye, Yin Xia, Lexin Li
    http://arxiv.org/abs/1908.08095v1

    • [stat.ME]Spatial and Spatiotemporal GARCH Models — A Unified Approach
    Philipp Otto, Wolfgang Schmid
    http://arxiv.org/abs/1908.08320v1

    • [stat.ML]Adaptive Configuration Oracle for Online Portfolio Selection Methods
    Favour M. Nyikosa, Michael A. Osborne, Stephen J. Roberts
    http://arxiv.org/abs/1908.08258v1

    • [stat.ML]BRIDGE: Byzantine-resilient Decentralized Gradient Descent
    Zhixiong Yang, Waheed U. Bajwa
    http://arxiv.org/abs/1908.08098v1

    • [stat.ML]How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets
    Valeriy Avanesov
    http://arxiv.org/abs/1908.07636v2

    • [stat.ML]Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms
    Sasan Barak, Mahdi Nasiri, Mehrdad Rostamzadeh
    http://arxiv.org/abs/1908.08489v1