cond-mat.stat-mech - 统计数学
cs.AI - 人工智能 cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.PL - 编程语言 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.SP - 信号处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.stat-mech]Spectral theory for the stability of dynamical systems on large oriented locally tree-like graphs
• [cs.AI]LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules
• [cs.CG]Continuous Toolpath Planning in Additive Manufacturing
• [cs.CL]ARAML: A Stable Adversarial Training Framework for Text Generation
• [cs.CL]CA-EHN: Commonsense Word Analogy from E-HowNet
• [cs.CL]CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
• [cs.CL]CatE: Category-Name GuidedWord Embedding
• [cs.CL]Controversy in Context
• [cs.CL]Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing — A Tale of Two Parsers Revisited
• [cs.CL]Density Matrices for Derivational Ambiguity
• [cs.CL]Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing
• [cs.CL]GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
• [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]Prosodic Phrase Alignment for Machine Dubbing
• [cs.CL]Teacher-Student Framework Enhanced Multi-domain Dialogue Generation
• [cs.CL]The Natural Selection of Words: Finding the Features of Fitness
• [cs.CL]Universal Adversarial Triggers for NLP
• [cs.CR]A Novel Kalman Filter Based Shilling Attack Detection Algorithm
• [cs.CR]Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems
• [cs.CV]360-Degree Textures of People in Clothing from a Single Image
• [cs.CV]A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
• [cs.CV]An End-to-end Video Text Detector with Online Tracking
• [cs.CV]Blind Image Deconvolution using Pretrained Generative Priors
• [cs.CV]Boundless: Generative Adversarial Networks for Image Extension
• [cs.CV]BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird’s-Eye View Point Cloud
• [cs.CV]Consistent Scale Normalization for Object Recognition
• [cs.CV]Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation
• [cs.CV]Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
• [cs.CV]Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
• [cs.CV]Human uncertainty makes classification more robust
• [cs.CV]Image Synthesis From Reconfigurable Layout and Style
• [cs.CV]In defense of OSVOS
• [cs.CV]Joint Embedding of 3D Scan and CAD Objects
• [cs.CV]Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
• [cs.CV]Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
• [cs.CV]Make a Face: Towards Arbitrary High Fidelity Face Manipulation
• [cs.CV]Multi-Garment Net: Learning to Dress 3D People from Images
• [cs.CV]Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
• [cs.CV]Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image
• [cs.CV]Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention
• [cs.CV]RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
• [cs.CV]Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
• [cs.CV]SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
• [cs.CV]Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images “In the Wild”
• [cs.CV]Towards High-Resolution Salient Object Detection
• [cs.CV]Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck
• [cs.CV]UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images
• [cs.CV]ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
• [cs.CV]Video synthesis of human upper body with realistic face
• [cs.CV]Zero-Shot Grounding of Objects from Natural Language Queries
• [cs.CY]Fairness Issues in AI Systems that Augment Sensory Abilities
• [cs.CY]Libra: Is it Really about Money?
• [cs.CY]Mobile community sensing with smallholder farmers in a developing nation; A scaled pilot for crop health monitoring
• [cs.CY]Robonomics: The Study of Robot-Human Peer-to-Peer Financial Transactions and Agreements
• [cs.CY]The Rise of Blockchain Technology in Agriculture and Food Supply Chains
• [cs.DC]Evacuation of equilateral triangles by mobile agents of limited communication range
• [cs.DS]A Sharp Threshold Phenomenon for the Distributed Complexity of the Lovász Local Lemma
• [cs.GR]Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling
• [cs.HC]Fuzzy C-Means Clustering and Sonification of HRV Features
• [cs.HC]StateLens: A Reverse Engineering Solution for Making Existing Dynamic Touchscreens Accessible
• [cs.IR]Relevance Proximity Graphs for Fast Relevance Retrieval
• [cs.IR]Tale of tails using rule augmented sequence labeling for event extraction
• [cs.IR]The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform
• [cs.IR]Unsupervised Hierarchical Grouping of Knowledge Graph Entities
• [cs.IT]A Lower Bound on the Interactive Capacity of Binary Memoryless Symmetric Channels
• [cs.IT]Breaking the MDS-PIR Capacity Barrier via Joint Storage Coding
• [cs.IT]Energy-Efficient Cooperative Caching in UAV Networks
• [cs.IT]Matched-Filter based Backscatter Communication for IoT Devices over Ambient OFDM Carrier
• [cs.IT]Mixed-Timescale Beamforming and Power Splitting for Massive MIMO Aided SWIPT IoT Network
• [cs.IT]On spectral analysis and extrapolation for processes on branched 1-manifolds
• [cs.IT]On the Differential-Linear Connectivity Table of Vectorial Boolean Functions
• [cs.IT]Primitive Idempotents and Constacyclic Codes over Finite Chain Rings
• [cs.IT]Provisioning Energy-Efficiency and QoS for Multi-Carrier CoMP with Limited Feedback
• [cs.LG]A survey on intrinsic motivation in reinforcement learning
• [cs.LG]Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
• [cs.LG]ChainNet: Learning on Blockchain Graphs with Topological Features
• [cs.LG]Compliance Change Tracking in Business Process Services
• [cs.LG]Counterfactual Distribution Regression for Structured Inference
• [cs.LG]Cross-modal Zero-shot Hashing
• [cs.LG]Density estimation in representation space to predict model uncertainty
• [cs.LG]Domain-Independent turn-level Dialogue Quality Evaluation via User Satisfaction Estimation
• [cs.LG]Expected path length on random manifolds
• [cs.LG]Graph Neural Networks with High-order Feature Interactions
• [cs.LG]Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond
• [cs.LG]Hotel Recommendation System
• [cs.LG]Investigation of wind pressures on tall building under interference effects using machine learning techniques
• [cs.LG]Learning Fair Classifiers in Online Stochastic Settings
• [cs.LG]On Analog Gradient Descent Learning over Multiple Access Fading Channels
• [cs.LG]On Regularization Properties of Artificial Datasets for Deep Learning
• [cs.LG]PAC-Bayes with Backprop
• [cs.LG]Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
• [cs.LG]Reinforcement Learning Applications
• [cs.LG]Sarcasm Detection using Hybrid Neural Network
• [cs.LG]Semi-Implicit Graph Variational Auto-Encoders
• [cs.LG]Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales
• [cs.LG]TabNet: Attentive Interpretable Tabular Learning
• [cs.LG]Topic Augmented Generator for Abstractive Summarization
• [cs.LG]Towards Effective Device-Aware Federated Learning
• [cs.LG]Twitter Sentiment on Affordable Care Act using Score Embedding
• [cs.NE]Landmark Map: An Extension of the Self-Organizing Map for a User-Intended Nonlinear Projection
• [cs.NE]Modeling Major Transitions in Evolution with the Game of Life
• [cs.PL]Implicit Recursive Characteristics of STOP
• [cs.RO]Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion
• [cs.RO]Efficiently Improving and Quantifying Robot Accuracy In Situ
• [cs.RO]Indoor Navigation Using Information From A Map And A Rangefinder
• [cs.RO]Interactive Trajectory Adaptation through Force-guided Bayesian Optimization
• [cs.RO]Learning from failures in robot-assisted feeding: Using online learning to develop manipulation strategies for bite acquisition
• [cs.RO]Reliable Real Time Ball Tracking for Robot Table Tennis
• [cs.RO]State Space System Modeling of a Quad Copter UAV
• [cs.SD]Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions
• [cs.SI]Estimating Attention Flow in Online Video Network
• [cs.SI]SilceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs
• [eess.IV]A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks
• [eess.IV]Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data
• [eess.IV]Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation
• [eess.SP]Greedy Algorithms for Hybrid Compressed Sensing
• [math.OC]Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization
• [math.PR]Asymptotic degree distributions in random threshold graphs
• [math.PR]Extremal eigenvalues of sample covariance matrices with general population
• [math.ST]A synthetic approach to Markov kernels, conditional independence, and theorems on sufficient statistics
• [math.ST]Causality from the Point of View of Classical Statistics
• [math.ST]Independent Randomness Tests based on the Orthogonalized Non-overlapping Template Matching Test
• [math.ST]Isotonic regression discontinuity designs
• [math.ST]Optimal estimation of functionals of high-dimensional mean and covariance matrix
• [math.ST]Results on standard estimators in the Cox model
• [math.ST]Stick-breaking Pitman-Yor processes given the species sampling size
• [physics.soc-ph]Social media usage reveals how regions recover after natural disaster
• [q-bio.NC]Playing magic tricks to deep neural networks untangles human deception
• [q-bio.QM]DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
• [quant-ph]Minimal degenerate CSS quantum code with low cost circuit
• [quant-ph]Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
• [stat.AP]Alliances and Conflict, or Conflict and Alliances? Appraising the Causal Effect of Alliances on Conflict
• [stat.AP]An Overview of Statistical Data Analysis
• [stat.AP]Bayesian leveraging of historical control data for a clinical trial with time-to-event endpoint
• [stat.AP]Issues arising from benchmarking single-cell RNA sequencing imputation methods
• [stat.AP]Onset detection: A new approach to QBH system
• [stat.AP]Robust Design and Analysis of Clinical Trials With Non-proportional Hazards: A Straw Man Guidance from a Cross-pharma Working Group
• [stat.CO]Forecasting observables with particle filters: Any filter will do!
• [stat.CO]Online pseudo Marginal Sequential Monte Carlo smoother for general state spaces. Application to recursive maximum likelihood estimation of stochastic differential equations
• [stat.ME]Dimension constraints improve hypothesis testing for large-scale, graph-associated, brain-image data
• [stat.ME]Testing weak nulls in matched observational studies
• [stat.ML]A Noise-Robust Fast Sparse Bayesian Learning Model
• [stat.ML]A Review of Changepoint Detection Models
• [stat.ML]Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology
• [stat.ML]Improve variational autoEncoder with auxiliary softmax multiclassifier
• [stat.ML]n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error
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• [cond-mat.stat-mech]Spectral theory for the stability of dynamical systems on large oriented locally tree-like graphs
Izaak Neri, Fernando Lucas Metz
http://arxiv.org/abs/1908.07092v1
• [cs.AI]LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules
Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Hamed Shariat Yazdi
http://arxiv.org/abs/1908.07141v1
• [cs.CG]Continuous Toolpath Planning in Additive Manufacturing
Prashant Gupta, Bala Krishnamoorthy
http://arxiv.org/abs/1908.07452v1
• [cs.CL]ARAML: A Stable Adversarial Training Framework for Text Generation
Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu
http://arxiv.org/abs/1908.07195v1
• [cs.CL]CA-EHN: Commonsense Word Analogy from E-HowNet
Li Peng-Hsuan, Yang, Tsan-Yu, Ma, Wei-Yun
http://arxiv.org/abs/1908.07218v1
• [cs.CL]CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
Liang Zhao, Zhiyuan Ma, Yangming Zhou, Kai Wang, Shengping Liu, Ju Gao
http://arxiv.org/abs/1908.07147v1
• [cs.CL]CatE: Category-Name GuidedWord Embedding
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han
http://arxiv.org/abs/1908.07162v1
• [cs.CL]Controversy in Context
Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, Noam Slonim
http://arxiv.org/abs/1908.07491v1
• [cs.CL]Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing — A Tale of Two Parsers Revisited
Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre
http://arxiv.org/abs/1908.07397v1
• [cs.CL]Density Matrices for Derivational Ambiguity
A. D. Correia, M. Moortgat, H. T. C. Stoof
http://arxiv.org/abs/1908.07347v1
• [cs.CL]Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing
Milan Straka, Jana Straková, Jan Hajič
http://arxiv.org/abs/1908.07448v1
• [cs.CL]GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
http://arxiv.org/abs/1908.07245v1
• [cs.CL]LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Hao Tan, Mohit Bansal
http://arxiv.org/abs/1908.07490v1
• [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/1908.07181v1
• [cs.CL]Prosodic Phrase Alignment for Machine Dubbing
Alp Öktem, Mireia Farrús, Antonio Bonafonte
http://arxiv.org/abs/1908.07226v1
• [cs.CL]Teacher-Student Framework Enhanced Multi-domain Dialogue Generation
Shuke Peng, Xinjing Huang, Zehao Lin, Feng Ji, Haiqing Chen, Yin Zhang
http://arxiv.org/abs/1908.07137v1
• [cs.CL]The Natural Selection of Words: Finding the Features of Fitness
Peter D. Turney, Saif M. Mohammad
http://arxiv.org/abs/1908.07013v1
• [cs.CL]Universal Adversarial Triggers for NLP
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh
http://arxiv.org/abs/1908.07125v1
• [cs.CR]A Novel Kalman Filter Based Shilling Attack Detection Algorithm
Xin Liu, Yingyuan Xiao, Xu Jiao, Wenguang Zheng, Zihao Ling
http://arxiv.org/abs/1908.06968v1
• [cs.CR]Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems
Wanqiao Yuan, Yingyuan Xiao, Xu Jiao, Wenguang Zheng, Zihao Ling
http://arxiv.org/abs/1908.06967v1
• [cs.CV]360-Degree Textures of People in Clothing from a Single Image
Verica Lazova, Eldar Insafutdinov, Gerard Pons-Moll
http://arxiv.org/abs/1908.07117v1
• [cs.CV]A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
Zipeng Wang, Zhaoxiang Liu, Zezhou Chen, Huan Hu, Shiguo Lian
http://arxiv.org/abs/1908.07262v1
• [cs.CV]An End-to-end Video Text Detector with Online Tracking
Hongyuan Yu, Chengquan Zhang, Xuan Li, Junyu Han, Errui Ding, Liang Wang
http://arxiv.org/abs/1908.07135v1
• [cs.CV]Blind Image Deconvolution using Pretrained Generative Priors
Muhammad Asim, Fahad Shamshad, Ali Ahmed
http://arxiv.org/abs/1908.07404v1
• [cs.CV]Boundless: Generative Adversarial Networks for Image Extension
Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman
http://arxiv.org/abs/1908.07007v1
• [cs.CV]BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird’s-Eye View Point Cloud
Ehsan Nezhadarya, Yang Liu, Bingbing Liu
http://arxiv.org/abs/1908.07085v1
• [cs.CV]Consistent Scale Normalization for Object Recognition
Zewen He, He Huang, Yudong Wu, Guan Huang, Wensheng Zhang
http://arxiv.org/abs/1908.07323v1
• [cs.CV]Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation
Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
http://arxiv.org/abs/1908.07121v1
• [cs.CV]Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy
http://arxiv.org/abs/1908.06442v2
• [cs.CV]Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
Sun Yu, Ye Yun, Liu Wu, Gao Wenpeng, Fu YiLi, Mei Tao
http://arxiv.org/abs/1908.07172v1
• [cs.CV]Human uncertainty makes classification more robust
Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky
http://arxiv.org/abs/1908.07086v1
• [cs.CV]Image Synthesis From Reconfigurable Layout and Style
Wei Sun, Tianfu Wu
http://arxiv.org/abs/1908.07500v1
• [cs.CV]In defense of OSVOS
Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian Reid
http://arxiv.org/abs/1908.06692v2
• [cs.CV]Joint Embedding of 3D Scan and CAD Objects
Manuel Dahnert, Angela Dai, Leonidas Guibas, Matthias Nießner
http://arxiv.org/abs/1908.06989v1
• [cs.CV]Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin
http://arxiv.org/abs/1908.07325v1
• [cs.CV]Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng
http://arxiv.org/abs/1908.07423v1
• [cs.CV]Make a Face: Towards Arbitrary High Fidelity Face Manipulation
Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He
http://arxiv.org/abs/1908.07191v1
• [cs.CV]Multi-Garment Net: Learning to Dress 3D People from Images
Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, Gerard Pons-Moll
http://arxiv.org/abs/1908.06903v2
• [cs.CV]Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
Kiru Park, Timothy Patten, Markus Vincze
http://arxiv.org/abs/1908.07433v1
• [cs.CV]Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image
Roman Klokov, Jakob Verbeek, Edmond Boyer
http://arxiv.org/abs/1908.07475v1
• [cs.CV]Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention
Cristian Rodriguez Opazo, Edison Marrese-Taylor, Fatemeh Sadat Saleh, Hongdong Li, Stephen Gould
http://arxiv.org/abs/1908.07236v1
• [cs.CV]RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao
http://arxiv.org/abs/1908.07269v1
• [cs.CV]Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, Michael J. Black
http://arxiv.org/abs/1908.06963v1
• [cs.CV]SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran
http://arxiv.org/abs/1908.07222v1
• [cs.CV]Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images “In the Wild”
Silvia Zuffi, Angjoo Kanazawa, Tanja Berger-Wolf, Michael J. Black
http://arxiv.org/abs/1908.07201v1
• [cs.CV]Towards High-Resolution Salient Object Detection
Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu
http://arxiv.org/abs/1908.07274v1
• [cs.CV]Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck
Shuang Ma, Daniel McDuff, Yale Song
http://arxiv.org/abs/1908.07094v1
• [cs.CV]UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images
Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely
http://arxiv.org/abs/1908.07070v1
• [cs.CV]ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Ioannis Kompatsiaris
http://arxiv.org/abs/1908.07410v1
• [cs.CV]Video synthesis of human upper body with realistic face
Zhaoxiang Liu, Huan Hu, Zipeng Wang, Kai Wang, Jinqiang Bai, Shiguo Lian
http://arxiv.org/abs/1908.06607v2
• [cs.CV]Zero-Shot Grounding of Objects from Natural Language Queries
Arka Sadhu, Kan Chen, Ram Nevatia
http://arxiv.org/abs/1908.07129v1
• [cs.CY]Fairness Issues in AI Systems that Augment Sensory Abilities
Leah Findlater, Steven Goodman, Yuhang Zhao, Shiri Azenkot, Margot Hanley
http://arxiv.org/abs/1908.07333v1
• [cs.CY]Libra: Is it Really about Money?
Valerie Khan, Geoffrey Goodell
http://arxiv.org/abs/1908.07474v1
• [cs.CY]Mobile community sensing with smallholder farmers in a developing nation; A scaled pilot for crop health monitoring
Daniel Mutembesa, Ernest Mwebaze, Solomon Nsumba, Christopher Omongo, Humphrey Mutaasa
http://arxiv.org/abs/1908.07047v1
• [cs.CY]Robonomics: The Study of Robot-Human Peer-to-Peer Financial Transactions and Agreements
Irvin Steve Cardenas, Jong-Hoon Kim
http://arxiv.org/abs/1908.07393v1
• [cs.CY]The Rise of Blockchain Technology in Agriculture and Food Supply Chains
Andreas Kamilaris, Agusti Fonts, Francesc X. Prenafeta-Boldu
http://arxiv.org/abs/1908.07391v1
• [cs.DC]Evacuation of equilateral triangles by mobile agents of limited communication range
Iman Bagheri, Lata Narayanan, Jaroslav Opatrny
http://arxiv.org/abs/1908.07315v1
• [cs.DS]A Sharp Threshold Phenomenon for the Distributed Complexity of the Lovász Local Lemma
Sebastian Brandt, Yannic Maus, Jara Uitto
http://arxiv.org/abs/1908.06270v2
• [cs.GR]Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling
He Wang, Edmond S. L. Ho, Hubert P. H. Shum, Zhanxing Zhu
http://arxiv.org/abs/1908.07214v1
• [cs.HC]Fuzzy C-Means Clustering and Sonification of HRV Features
Debanjan Borthakur, Victoria Grace, Paul Batchelor, Harishchandra Dubey
http://arxiv.org/abs/1908.07107v1
• [cs.HC]StateLens: A Reverse Engineering Solution for Making Existing Dynamic Touchscreens Accessible
Anhong Guo, Junhan Kong, Michael Rivera, Frank F. Xu, Jeffrey P. Bigham
http://arxiv.org/abs/1908.07144v1
• [cs.IR]Relevance Proximity Graphs for Fast Relevance Retrieval
Stanislav Morozov, Artem Babenko
http://arxiv.org/abs/1908.06887v2
• [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/1908.07018v1
• [cs.IR]The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform
Jie Li, Haifeng Liu, Chuanghua Gui, Jianyu Chen, Zhenyun Ni, Ning Wang
http://arxiv.org/abs/1908.07389v1
• [cs.IR]Unsupervised Hierarchical Grouping of Knowledge Graph Entities
Sameh K. Mohamed
http://arxiv.org/abs/1908.07281v1
• [cs.IT]A Lower Bound on the Interactive Capacity of Binary Memoryless Symmetric Channels
Assaf Ben-Yishai, Young-Han Kim, Or Ordentlich, Ofer Shayevitz
http://arxiv.org/abs/1908.07367v1
• [cs.IT]Breaking the MDS-PIR Capacity Barrier via Joint Storage Coding
Hua Sun, Chao Tian
http://arxiv.org/abs/1908.07091v1
• [cs.IT]Energy-Efficient Cooperative Caching in UAV Networks
Mohammad G. Khoshkholgh, Victor C. M. Leung
http://arxiv.org/abs/1908.07115v1
• [cs.IT]Matched-Filter based Backscatter Communication for IoT Devices over Ambient OFDM Carrier
Jinho Choi
http://arxiv.org/abs/1908.07108v1
• [cs.IT]Mixed-Timescale Beamforming and Power Splitting for Massive MIMO Aided SWIPT IoT Network
Xihan Chen, Hei Victor Cheng, An Liu, Kaiming Shen, Min-Jian Zhao
http://arxiv.org/abs/1908.07408v1
• [cs.IT]On spectral analysis and extrapolation for processes on branched 1-manifolds
Nikolai Dokuchaev
http://arxiv.org/abs/1908.07212v1
• [cs.IT]On the Differential-Linear Connectivity Table of Vectorial Boolean Functions
Anne Canteaut, Lukas Kölsch, Chao Li, Chunlei Li, Kangquan Li, Longjiang Qu, Friedrich Wiemer
http://arxiv.org/abs/1908.07445v1
• [cs.IT]Primitive Idempotents and Constacyclic Codes over Finite Chain Rings
Mohammed Elhassani Charkani, Joël Kabore
http://arxiv.org/abs/1908.07368v1
• [cs.IT]Provisioning Energy-Efficiency and QoS for Multi-Carrier CoMP with Limited Feedback
Mohammad G. Khoshkholgh, Victor C. M. Leung, Kang G. Shin, Keivan Navaie
http://arxiv.org/abs/1908.07119v1
• [cs.LG]A survey on intrinsic motivation in reinforcement learning
Arthur Aubret, Laetitia Matignon, Salima Hassas
http://arxiv.org/abs/1908.06976v1
• [cs.LG]Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller
http://arxiv.org/abs/1908.07319v1
• [cs.LG]ChainNet: Learning on Blockchain Graphs with Topological Features
Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Umar D. Islambekov, Murat Kantarcioglu, Yahui Tian, Bhavani Thuraisingham
http://arxiv.org/abs/1908.06971v1
• [cs.LG]Compliance Change Tracking in Business Process Services
Srikanth G Tamilselvam, Ankush Gupta, Arvind Agarwal
http://arxiv.org/abs/1908.07190v1
• [cs.LG]Counterfactual Distribution Regression for Structured Inference
Nicolo Colombo, Ricardo Silva, Soong M Kang, Arthur Gretton
http://arxiv.org/abs/1908.07193v1
• [cs.LG]Cross-modal Zero-shot Hashing
Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang
http://arxiv.org/abs/1908.07388v1
• [cs.LG]Density estimation in representation space to predict model uncertainty
Tiago Ramalho, Miguel Miranda
http://arxiv.org/abs/1908.07235v1
• [cs.LG]Domain-Independent turn-level Dialogue Quality Evaluation via User Satisfaction Estimation
Praveen Kumar Bodigutla, Longshaokan Wang, Kate Ridgeway, Joshua Levy, Swanand Joshi, Alborz Geramifard, Spyros Matsoukas
http://arxiv.org/abs/1908.07064v1
• [cs.LG]Expected path length on random manifolds
David Eklund, Søren Hauberg
http://arxiv.org/abs/1908.07377v1
• [cs.LG]Graph Neural Networks with High-order Feature Interactions
Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu
http://arxiv.org/abs/1908.07110v1
• [cs.LG]Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond
Zitao Liu, Zhexuan Xu, Yan Yan
http://arxiv.org/abs/1908.07371v1
• [cs.LG]Hotel Recommendation System
Aditi A. Mavalankar, Ajitesh Gupta, Chetan Gandotra, Rishabh Misra
http://arxiv.org/abs/1908.07498v1
• [cs.LG]Investigation of wind pressures on tall building under interference effects using machine learning techniques
Gang Hu, Lingbo Liu, Dacheng Tao, Jie Song, K. C. S. Kwok
http://arxiv.org/abs/1908.07307v1
• [cs.LG]Learning Fair Classifiers in Online Stochastic Settings
Yi Sun, Ivan Ramirez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
http://arxiv.org/abs/1908.07009v1
• [cs.LG]On Analog Gradient Descent Learning over Multiple Access Fading Channels
Tomer Sery, Kobi Cohen
http://arxiv.org/abs/1908.07463v1
• [cs.LG]On Regularization Properties of Artificial Datasets for Deep Learning
Karol Antczak
http://arxiv.org/abs/1908.07005v1
• [cs.LG]PAC-Bayes with Backprop
Omar Rivasplata, Vikram M Tankasali, Csaba Szepesvari
http://arxiv.org/abs/1908.07380v1
• [cs.LG]Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin
http://arxiv.org/abs/1908.07116v1
• [cs.LG]Reinforcement Learning Applications
Yuxi Li
http://arxiv.org/abs/1908.06973v1
• [cs.LG]Sarcasm Detection using Hybrid Neural Network
Rishabh Misra, Prahal Arora
http://arxiv.org/abs/1908.07414v1
• [cs.LG]Semi-Implicit Graph Variational Auto-Encoders
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
http://arxiv.org/abs/1908.07078v1
• [cs.LG]Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales
Cheng Wan, Akane Sano
http://arxiv.org/abs/1908.07483v1
• [cs.LG]TabNet: Attentive Interpretable Tabular Learning
Sercan O. Arik, Tomas Pfister
http://arxiv.org/abs/1908.07442v1
• [cs.LG]Topic Augmented Generator for Abstractive Summarization
Melissa Ailem, Bowen Zhang, Fei Sha
http://arxiv.org/abs/1908.07026v1
• [cs.LG]Towards Effective Device-Aware Federated Learning
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara
http://arxiv.org/abs/1908.07420v1
• [cs.LG]Twitter Sentiment on Affordable Care Act using Score Embedding
Mohsen Farhadloo
http://arxiv.org/abs/1908.07061v1
• [cs.NE]Landmark Map: An Extension of the Self-Organizing Map for a User-Intended Nonlinear Projection
Akinari Onishi
http://arxiv.org/abs/1908.07124v1
• [cs.NE]Modeling Major Transitions in Evolution with the Game of Life
Peter D. Turney
http://arxiv.org/abs/1908.07034v1
• [cs.PL]Implicit Recursive Characteristics of STOP
Mike H. Ji
http://arxiv.org/abs/1908.06601v1
• [cs.RO]Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion
Alexander H. Chang, Shiyu Feng, Yipu Zhao, Justin S. Smith, Patricio A. Vela
http://arxiv.org/abs/1908.07101v1
• [cs.RO]Efficiently Improving and Quantifying Robot Accuracy In Situ
Karl Van Wyk, Joe Falco, Geraldine Cheok
http://arxiv.org/abs/1908.07273v1
• [cs.RO]Indoor Navigation Using Information From A Map And A Rangefinder
Mostafa Mansour, Oleg Stepanov
http://arxiv.org/abs/1908.07279v1
• [cs.RO]Interactive Trajectory Adaptation through Force-guided Bayesian Optimization
Leonel Rozo
http://arxiv.org/abs/1908.07263v1
• [cs.RO]Learning from failures in robot-assisted feeding: Using online learning to develop manipulation strategies for bite acquisition
Ethan K Gordon, Xiang Meng, Matt Barnes, Tapomayukh Bhattacharjee, Siddhartha S Srinivasa
http://arxiv.org/abs/1908.07088v1
• [cs.RO]Reliable Real Time Ball Tracking for Robot Table Tennis
Sebastian Gomez-Gonzalez, Yassine Nemmour, Bernhard Schölkopf, Jan Peters
http://arxiv.org/abs/1908.07332v1
• [cs.RO]State Space System Modeling of a Quad Copter UAV
Zaid Tahir, Waleed Tahir, Saad Ali Liaqat
http://arxiv.org/abs/1908.07401v1
• [cs.SD]Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions
Eita Nakamura, Kazuyoshi Yoshii
http://arxiv.org/abs/1908.06969v1
• [cs.SI]Estimating Attention Flow in Online Video Network
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
http://arxiv.org/abs/1908.07123v1
• [cs.SI]SilceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs
Hamed Nilforoshan, Neil Shah
http://arxiv.org/abs/1908.07087v1
• [eess.IV]A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks
Chandra Churh Chatterjee, Gopal Krishna
http://arxiv.org/abs/1908.07362v1
• [eess.IV]Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data
Maayan Frid-Adar, Rula Amer, Hayit Greenspan
http://arxiv.org/abs/1908.07170v1
• [eess.IV]Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation
Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
http://arxiv.org/abs/1908.07344v1
• [eess.SP]Greedy Algorithms for Hybrid Compressed Sensing
Ching-Lun Tai, Sung-Hsien Hsieh, Chun-Shien Lu
http://arxiv.org/abs/1908.06359v1
• [math.OC]Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization
Stefan Vlaski, Ali H. Sayed
http://arxiv.org/abs/1908.07023v1
• [math.PR]Asymptotic degree distributions in random threshold graphs
Armand M. Makowski, Siddharth Pal
http://arxiv.org/abs/1908.07066v1
• [math.PR]Extremal eigenvalues of sample covariance matrices with general population
Jinwoong Kwak, Ji Oon Lee, Jaewhi Park
http://arxiv.org/abs/1908.07444v1
• [math.ST]A synthetic approach to Markov kernels, conditional independence, and theorems on sufficient statistics
Tobias Fritz
http://arxiv.org/abs/1908.07021v1
• [math.ST]Causality from the Point of View of Classical Statistics
José A. Ferreira
http://arxiv.org/abs/1908.07301v1
• [math.ST]Independent Randomness Tests based on the Orthogonalized Non-overlapping Template Matching Test
Atsushi Iwasaki
http://arxiv.org/abs/1908.07145v1
• [math.ST]Isotonic regression discontinuity designs
Andrii Babii, Rohit Kumar
http://arxiv.org/abs/1908.05752v2
• [math.ST]Optimal estimation of functionals of high-dimensional mean and covariance matrix
Jianqing Fan, Haolei Weng, Yifeng Zhou
http://arxiv.org/abs/1908.07460v1
• [math.ST]Results on standard estimators in the Cox model
Cécile Durot, Eni Musta
http://arxiv.org/abs/1908.07456v1
• [math.ST]Stick-breaking Pitman-Yor processes given the species sampling size
Lanelot F. James
http://arxiv.org/abs/1908.07186v1
• [physics.soc-ph]Social media usage reveals how regions recover after natural disaster
Robert Eyre, Flavia De Luca, Filippo Simini
http://arxiv.org/abs/1908.07384v1
• [q-bio.NC]Playing magic tricks to deep neural networks untangles human deception
Regina Zaghi-Lara, Miguel Ángel Gea, Jordi Camí, Luis M. Martínez, Alex Gomez-Marin
http://arxiv.org/abs/1908.07446v1
• [q-bio.QM]DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
Yibo Li, Jianxing Hu, Yanxing Wang, Jielong Zhou, Liangren Zhang, Zhenming Liu
http://arxiv.org/abs/1908.07209v1
• [quant-ph]Minimal degenerate CSS quantum code with low cost circuit
Ritajit Majumdar, Susmita Sur-Kolay
http://arxiv.org/abs/1908.07229v1
• [quant-ph]Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
Iordanis Kerenidis, Anupam Prakash, Dániel Szilágyi
http://arxiv.org/abs/1908.06720v1
• [stat.AP]Alliances and Conflict, or Conflict and Alliances? Appraising the Causal Effect of Alliances on Conflict
Benjamin Campbell
http://arxiv.org/abs/1908.07100v1
• [stat.AP]An Overview of Statistical Data Analysis
Rui Portocarrero Sarmento, Vera Costa
http://arxiv.org/abs/1908.07390v1
• [stat.AP]Bayesian leveraging of historical control data for a clinical trial with time-to-event endpoint
Satrajit Roychoudhury, Beat Neuenschwander
http://arxiv.org/abs/1908.07265v1
• [stat.AP]Issues arising from benchmarking single-cell RNA sequencing imputation methods
Wei Vivian Li, Jingyi Jessica Li
http://arxiv.org/abs/1908.07084v1
• [stat.AP]Onset detection: A new approach to QBH system
Ritwik Bhaduri, Soham Bonnerjee, Subhrajyoti Roy
http://arxiv.org/abs/1908.07409v1
• [stat.AP]Robust Design and Analysis of Clinical Trials With Non-proportional Hazards: A Straw Man Guidance from a Cross-pharma Working Group
Satrajit Roychoudhury, Keaven M Anderson, Jiabu Ye, Pralay Mukhopadhyay
http://arxiv.org/abs/1908.07112v1
• [stat.CO]Forecasting observables with particle filters: Any filter will do!
Patrick Leung, Catherine S. Forbes, Gael M. Martin, Brendan McCabe
http://arxiv.org/abs/1908.07204v1
• [stat.CO]Online pseudo Marginal Sequential Monte Carlo smoother for general state spaces. Application to recursive maximum likelihood estimation of stochastic differential equations
Pierre Gloaguen, Sylvain Le Corff, Jimmy Olsson
http://arxiv.org/abs/1908.07254v1
• [stat.ME]Dimension constraints improve hypothesis testing for large-scale, graph-associated, brain-image data
TIen Vo, Vamsi Ithapu, Vikas Singh, Michael A. Newton
http://arxiv.org/abs/1908.07176v1
• [stat.ME]Testing weak nulls in matched observational studies
Colin B. Fogarty
http://arxiv.org/abs/1908.07352v1
• [stat.ML]A Noise-Robust Fast Sparse Bayesian Learning Model
Ingvild M. Helgøy, Yushu Li
http://arxiv.org/abs/1908.07220v1
• [stat.ML]A Review of Changepoint Detection Models
Yixiao Li, Gloria Lin, Thomas Lau, Ruochen Zeng
http://arxiv.org/abs/1908.07136v1
• [stat.ML]Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology
Weipeng Huang, Guangyuan Piao, Raul Moreno, Neil Hurley
http://arxiv.org/abs/1908.07031v1
• [stat.ML]Improve variational autoEncoder with auxiliary softmax multiclassifier
Yao Li
http://arxiv.org/abs/1908.06966v1
• [stat.ML]n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error
Michel Moukari, Loïc Simon, Sylvaine Picard, Frédéric Jurie
http://arxiv.org/abs/1908.07253v1