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