astro-ph.IM - 仪器仪表和天体物理学方法
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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 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.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.geo-ph - 地球物理学 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 q-fin.PM - 投资组合管理 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 stat.OT - 其他统计学
• [astro-ph.IM]$L_1$ Trend Filtering: A Modern Statistical Tool for Time-Domain Astronomy and Astronomical Spectroscopy
• [cs.AI]An Expert System Approach for determine the stage of UiTM Perlis Palapes Cadet Performance and Ranking Selection
• [cs.AI]Reinforcement Learning is not a Causal problem
• [cs.AI]Technical Report on Implementing Ranking-Based Semantics in ConArg
• [cs.CG]Universal Reconfiguration of Facet-Connected Modular Robots by Pivots: The $O(1)$ Musketeers
• [cs.CL]A novel text representation which enables image classifiers to perform text classification, applied to name disambiguation
• [cs.CL]Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
• [cs.CL]CA-EHN: Commonsense Word Analogy from E-HowNet
• [cs.CL]Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking
• [cs.CL]Dialog State Tracking with Reinforced Data Augmentation
• [cs.CL]Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples
• [cs.CL]Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
• [cs.CL]GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level
• [cs.CL]Improving Captioning for Low-Resource Languages by Cycle Consistency
• [cs.CL]Improving Neural Machine Translation with Pre-trained Representation
• [cs.CL]It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction
• [cs.CL]Latent Relation Language Models
• [cs.CL]Learning document embeddings along with their uncertainties
• [cs.CL]MoEL: Mixture of Empathetic Listeners
• [cs.CL]On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning
• [cs.CL]Predict Emoji Combination with Retrieval Strategy
• [cs.CL]Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies
• [cs.CL]Restricted Recurrent Neural Networks
• [cs.CL]Similarity Learning for Authorship Verification in Social Media
• [cs.CL]Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
• [cs.CL]WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
• [cs.CR]A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component
• [cs.CV]A Realistic Face-to-Face Conversation System based on Deep Neural Networks
• [cs.CV]Action recognition with spatial-temporal discriminative filter banks
• [cs.CV]Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery
• [cs.CV]Asymmetric Non-local Neural Networks for Semantic Segmentation
• [cs.CV]Attention on Attention for Image Captioning
• [cs.CV]Communal Domain Learning for Registration in Drifted Image Spaces
• [cs.CV]Deep High-Resolution Representation Learning for Visual Recognition
• [cs.CV]DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking
• [cs.CV]Effects of Blur and Deblurring to Visual Object Tracking
• [cs.CV]FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans
• [cs.CV]InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
• [cs.CV]KeystoneDepth: Visualizing History in 3D
• [cs.CV]Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification
• [cs.CV]MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors
• [cs.CV]Multi-Modal Recognition of Worker Activity for Human-Centered Intelligent Manufacturing
• [cs.CV]Non-negative Sparse and Collaborative Representation for Pattern Classification
• [cs.CV]On Object Symmetries and 6D Pose Estimation from Images
• [cs.CV]PCRNet: Point Cloud Registration Network using PointNet Encoding
• [cs.CV]Phrase Localization Without Paired Training Examples
• [cs.CV]Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery
• [cs.CV]Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
• [cs.CV]RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
• [cs.CV]Saccader: Improving Accuracy of Hard Attention Models for Vision
• [cs.CV]Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
• [cs.CV]Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes
• [cs.CY]Case Study: Disclosure of Indirect Device Fingerprinting in Privacy Policies
• [cs.DB]Data Management for Causal Algorithmic Fairness
• [cs.DB]Improved Cardinality Estimation by Learning Queries Containment Rates
• [cs.DC]A sufficient condition for a linear speedup in competitive parallel computing
• [cs.DC]Eunomia: A Permissionless Parallel Chain Protocol Based on Logical Clock
• [cs.DC]Securing HPC using Federated Authentication
• [cs.DS]A Quality Metric for Visualization of Clusters in Graphs
• [cs.ET]Implications of Quantum Computing for Artificial Intelligence alignment research
• [cs.HC]Championing Research Through Design in HRI
• [cs.IR]Assessing the Impact of a User-Item Collaborative Attack on Class of Users
• [cs.IR]Boosting the Rating Prediction with Click Data and Textual Contents
• [cs.IR]CommentsRadar: Dive into Unique Data on All Comments on the Web
• [cs.IR]From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories
• [cs.IR]Learning Joint Embedding for Cross-Modal Retrieval
• [cs.IR]Personalizing Search Results Using Hierarchical RNN with Query-aware Attention
• [cs.IR]User Diverse Preference Modeling by Multimodal Attentive Metric Learning
• [cs.IT]Covert Millimeter-Wave Communication via a Dual-Beam Transmitter
• [cs.IT]Eliminating Impulsive Noise in Pilot-Aided OFDM Channels via Dual of Penalized Atomic Norm
• [cs.IT]Mobility in the Sky: Performance and Mobility Analysis for Cellular-Connected UAVs
• [cs.LG]AdaCliP: Adaptive Clipping for Private SGD
• [cs.LG]CUDA optimized Neural Network predicts blood glucose control from quantified joint mobility and anthropometrics
• [cs.LG]Decentralized Federated Learning: A Segmented Gossip Approach
• [cs.LG]Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
• [cs.LG]Developing Creative AI to Generate Sculptural Objects
• [cs.LG]Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
• [cs.LG]Estimation of perceptual scales using ordinal embedding
• [cs.LG]Exploring Offline Policy Evaluation for the Continuous-Armed Bandit Problem
• [cs.LG]Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
• [cs.LG]Federated Learning: Challenges, Methods, and Future Directions
• [cs.LG]Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
• [cs.LG]Hotel Recommendation System
• [cs.LG]Multi-hypothesis classifier
• [cs.LG]P2L: Predicting Transfer Learning for Images and Semantic Relations
• [cs.LG]PAC-Bayes with Backprop
• [cs.LG]QCNN: Quantile Convolutional Neural Network
• [cs.LG]Real-time Person Re-identification at the Edge: A Mixed Precision Approach
• [cs.LG]Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
• [cs.LG]Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning
• [cs.LG]Testing Robustness Against Unforeseen Adversaries
• [cs.NE]Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics
• [cs.NE]Evolutionary Computation, Optimization and Learning Algorithms for Data Science
• [cs.RO]Design Space of Behaviour Planning for Autonomous Driving
• [cs.RO]MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research
• [cs.SD]AI for Earth: Rainforest Conservation by Acoustic Surveillance
• [cs.SI]Arabs and Atheism: Religious Discussions in the Arab Twittersphere
• [cs.SI]Benchmarks for Graph Embedding Evaluation
• [cs.SI]Finding the right scale of a network: Efficient identification of causal emergence through spectral clustering
• [cs.SI]Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate
• [cs.SI]SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs
• [cs.SI]Walking Through Twitter: Sampling a Language-Based Follow Network of Influential Twitter Accounts
• [eess.AS]Survey on Deep Neural Networks in Speech and Vision Systems
• [eess.IV]Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis
• [eess.IV]Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
• [eess.IV]Dataset Growth in Medical Image Analysis Research
• [eess.IV]Direct Neural Network 3D Image Reconstruction of Radon Encoded Data
• [eess.IV]Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image
• [eess.IV]Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning
• [eess.IV]Pixel-wise Segmentation of Right Ventricle of Heart
• [eess.IV]TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays
• [eess.IV]Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation
• [eess.SP]Detecting Gas Vapor Leaks Using Uncalibrated Sensors
• [eess.SP]Multi-Antenna Relaying and Reconfigurable Intelligent Surfaces: End-to-End SNR and Achievable Rate
• [eess.SP]Power-Efficient Resource Allocation in Massive MIMO Aided Cloud RANs
• [math.CO]K-Nearest Neighbor Approximation Via the Friend-of-a-Friend Principle
• [math.NA]Data-driven model reduction, Wiener projections, and the Mori-Zwanzig formalism
• [math.OC]A tree-based radial basis function method for noisy parallel surrogate optimization
• [math.ST]Causality from the Point of View of Classical Statistics
• [physics.geo-ph]Ranking Viscous Finger Simulations to an Acquired Ground Truth with Topology-aware Matchings
• [physics.geo-ph]Semi-supervised Sequence Modeling for Elastic Impedance Inversion
• [q-bio.NC]DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis
• [q-bio.QM]DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
• [q-fin.PM]Myopic robust index tracking with Bregman divergence
• [stat.AP]A Parametric Bootstrap for the Mean Measure of Divergence
• [stat.AP]Bayesian Hierarchical Factor Regression Models to Infer Cause of Death From Verbal Autopsy Data
• [stat.AP]Beyond p-values: a phase II dual-criterion design with statistical significance and clinical relevance
• [stat.AP]Importance of spatial predictor variable selection in machine learning applications — Moving from data reproduction to spatial prediction
• [stat.CO]Analyzing Commodity Futures Using Factor State-Space Models with Wishart Stochastic Volatility
• [stat.CO]Bayesian models for survival data of clinical trials: Comparison of implementations using R software
• [stat.ME]Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models
• [stat.ME]Efficient and flexible simulation-based sample size determination for clinical trials with multiple design parameters
• [stat.ME]Efficient and powerful equivalency test on combined mean and variance with application to diagnostic device comparison studies
• [stat.ME]Latent group structure and regularized regression
• [stat.ME]Risk-Efficient Bayesian Data Synthesis for Privacy Protection
• [stat.ML]Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
• [stat.ML]How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets
• [stat.OT]Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off
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• [astro-ph.IM]$L_1$ Trend Filtering: A Modern Statistical Tool for Time-Domain Astronomy and Astronomical Spectroscopy
Collin A. Politsch, Jessi Cisewski-Kehe, Rupert A. C. Croft, Larry Wasserman
http://arxiv.org/abs/1908.07151v1
• [cs.AI]An Expert System Approach for determine the stage of UiTM Perlis Palapes Cadet Performance and Ranking Selection
Tajul Rosli Razak
http://arxiv.org/abs/1908.07651v1
• [cs.AI]Reinforcement Learning is not a Causal problem
Mauricio Gonzalez-Soto, Felipe Orihuela Espina
http://arxiv.org/abs/1908.07617v1
• [cs.AI]Technical Report on Implementing Ranking-Based Semantics in ConArg
Stafano Bistarelli, Francesco Faloci, Carlo Taticchi
http://arxiv.org/abs/1908.07784v1
• [cs.CG]Universal Reconfiguration of Facet-Connected Modular Robots by Pivots: The $O(1)$ Musketeers
Hugo A. Akitaya, Esther M. Arkin, Mirela Damian, Erik D. Demaine, Vida Dujmović, Robin Flatland, Matias Korman, Belén Palop, Irene Parada, André van Renssen, Vera Sacristán
http://arxiv.org/abs/1908.07880v1
• [cs.CL]A novel text representation which enables image classifiers to perform text classification, applied to name disambiguation
Stephen M. Petrie, T’Mir D. Julius
http://arxiv.org/abs/1908.07846v1
• [cs.CL]Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva, Yoav Goldberg, Jonathan Berant
http://arxiv.org/abs/1908.07898v1
• [cs.CL]CA-EHN: Commonsense Word Analogy from E-HowNet
Peng-Hsuan Li, Tsan-Yu Yang, Wei-Yun Ma
http://arxiv.org/abs/1908.07218v2
• [cs.CL]Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking
Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
http://arxiv.org/abs/1908.07705v1
• [cs.CL]Dialog State Tracking with Reinforced Data Augmentation
Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu
http://arxiv.org/abs/1908.07795v1
• [cs.CL]Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples
Marcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter
http://arxiv.org/abs/1908.07899v1
• [cs.CL]Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
Kui Xue, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Huanhuan Zhang, Ping He
http://arxiv.org/abs/1908.07721v1
• [cs.CL]GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level
Zixian Huang, Yulin Shen, Xiao Li, Yuang Wei, Gong Cheng, Lin Zhou, Xinyu Dai, Yuzhong Qu
http://arxiv.org/abs/1908.07855v1
• [cs.CL]Improving Captioning for Low-Resource Languages by Cycle Consistency
Yike Wu, Shiwan Zhao, Jia Chen, Ying Zhang, Xiaojie Yuan, Zhong Su
http://arxiv.org/abs/1908.07810v1
• [cs.CL]Improving Neural Machine Translation with Pre-trained Representation
Rongxiang Weng, Heng Yu, Shujian Huang, Weihua Luo, Jiajun Chen
http://arxiv.org/abs/1908.07688v1
• [cs.CL]It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction
Slavena Vasileva, Pepa Atanasova, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov
http://arxiv.org/abs/1908.07912v1
• [cs.CL]Latent Relation Language Models
Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig
http://arxiv.org/abs/1908.07690v1
• [cs.CL]Learning document embeddings along with their uncertainties
Santosh Kesiraju, Oldřich Plchot, Lukaš Burget, Suryakanth V Gangashetty
http://arxiv.org/abs/1908.07599v1
• [cs.CL]MoEL: Mixture of Empathetic Listeners
Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung
http://arxiv.org/abs/1908.07687v1
• [cs.CL]On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert
http://arxiv.org/abs/1908.07742v1
• [cs.CL]Predict Emoji Combination with Retrieval Strategy
Weitsung Lin, Tinghsuan Chao, Jianmin Wu, Tianhuang Su
http://arxiv.org/abs/1908.07761v1
• [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/1908.07819v1
• [cs.CL]Restricted Recurrent Neural Networks
Enmao Diao, Jie Ding, Vahid Tarokh
http://arxiv.org/abs/1908.07724v1
• [cs.CL]Similarity Learning for Authorship Verification in Social Media
Benedikt Boenninghoff, Robert M. Nickel, Steffen Zeiler, Dorothea Kolossa
http://arxiv.org/abs/1908.07844v1
• [cs.CL]Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
Piotr Żelasko, Jan Mizgajski, Mikołaj Morzy, Adrian Szymczak, Piotr Szymański, Łukasz Augustyniak, Yishay Carmiel
http://arxiv.org/abs/1908.07888v1
• [cs.CL]WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
http://arxiv.org/abs/1908.08025v1
• [cs.CR]A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component
Chin-Yu Sun, Allen C. -H. Wu, TingTing Hwang
http://arxiv.org/abs/1908.07701v1
• [cs.CV]A Realistic Face-to-Face Conversation System based on Deep Neural Networks
Zezhou Chen, Zhaoxiang Liu, Huan Hu, Jinqiang Bai, Shiguo Lian, Fuyuan Shi, Kai Wang
http://arxiv.org/abs/1908.07750v1
• [cs.CV]Action recognition with spatial-temporal discriminative filter banks
Brais Martinez, Davide Modolo, Yuanjun Xiong, Joseph Tighe
http://arxiv.org/abs/1908.07625v1
• [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/1908.07860v1
• [cs.CV]Asymmetric Non-local Neural Networks for Semantic Segmentation
Zhen Zhu, Mengdu Xu, Song Bai, Tengteng Huang, Xiang Bai
http://arxiv.org/abs/1908.07678v1
• [cs.CV]Attention on Attention for Image Captioning
Lun Huang, Wenmin Wang, Jie Chen, Xiao-Yong Wei
http://arxiv.org/abs/1908.06954v2
• [cs.CV]Communal Domain Learning for Registration in Drifted Image Spaces
Awais Mansoor, Marius George Linguraru
http://arxiv.org/abs/1908.07646v1
• [cs.CV]Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao
http://arxiv.org/abs/1908.07919v1
• [cs.CV]DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking
Mohamed H. Abdelpakey, Mohamed S. Shehata
http://arxiv.org/abs/1908.07905v1
• [cs.CV]Effects of Blur and Deblurring to Visual Object Tracking
Qing Guo, Wei Feng, Zhihao Chen, Ruijun Gao, Liang Wan, Song Wang
http://arxiv.org/abs/1908.07904v1
• [cs.CV]FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans
Fengze Liu, Yuyin Zhou, Elliot Fishman, Alan Yuille
http://arxiv.org/abs/1908.07654v1
• [cs.CV]InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
Hao-Shu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yong-Lu Li, Cewu Lu
http://arxiv.org/abs/1908.07801v1
• [cs.CV]KeystoneDepth: Visualizing History in 3D
Xuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, Steve Seitz
http://arxiv.org/abs/1908.07732v1
• [cs.CV]Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification
Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang
http://arxiv.org/abs/1908.07878v1
• [cs.CV]MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors
Royson Lee, Stylianos I. Venieris, Łukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
http://arxiv.org/abs/1908.07985v1
• [cs.CV]Multi-Modal Recognition of Worker Activity for Human-Centered Intelligent Manufacturing
Wenjin Tao, Ming C. Leu, Zhaozheng Yin
http://arxiv.org/abs/1908.07519v1
• [cs.CV]Non-negative Sparse and Collaborative Representation for Pattern Classification
Jun Xu, Zhou Xu, Wangpeng An, Haoqian Wang, David Zhang
http://arxiv.org/abs/1908.07956v1
• [cs.CV]On Object Symmetries and 6D Pose Estimation from Images
Giorgia Pitteri, Michaël Ramamonjisoa, Slobodan Ilic, Vincent Lepetit
http://arxiv.org/abs/1908.07640v1
• [cs.CV]PCRNet: Point Cloud Registration Network using PointNet Encoding
Vinit Sarode, Xueqian Li, Hunter Goforth, Yasuhiro Aoki, Rangaprasad Arun Srivatsan, Simon Lucey, Howie Choset
http://arxiv.org/abs/1908.07906v1
• [cs.CV]Phrase Localization Without Paired Training Examples
Josiah Wang, Lucia Specia
http://arxiv.org/abs/1908.07553v1
• [cs.CV]Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery
Jie Luo, Alexandra Golby, Masashi Sugiyama, William M. Wells III, Sarah Frisken
http://arxiv.org/abs/1908.07709v1
• [cs.CV]Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
http://arxiv.org/abs/1908.07683v1
• [cs.CV]RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo
http://arxiv.org/abs/1908.07748v1
• [cs.CV]Saccader: Improving Accuracy of Hard Attention Models for Vision
Gamaleldin F. Elsayed, Simon Kornblith, Quoc V. Le
http://arxiv.org/abs/1908.07644v1
• [cs.CV]Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou
http://arxiv.org/abs/1908.07669v1
• [cs.CV]Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes
Maik Simon, Markus Küchhold, Tobias Senst, Erik Bochinski, Thomas Sikora
http://arxiv.org/abs/1908.07772v1
• [cs.CY]Case Study: Disclosure of Indirect Device Fingerprinting in Privacy Policies
Julissa Milligan, Sarah Scheffler, Andrew Sellars, Trishita Tiwari, Ari Trachtenberg, Mayank Varia
http://arxiv.org/abs/1908.07965v1
• [cs.DB]Data Management for Causal Algorithmic Fairness
Babak Salimi, Bill Howe, Dan Suciu
http://arxiv.org/abs/1908.07924v1
• [cs.DB]Improved Cardinality Estimation by Learning Queries Containment Rates
Rojeh Hayek, Oded Shmueli
http://arxiv.org/abs/1908.07723v1
• [cs.DC]A sufficient condition for a linear speedup in competitive parallel computing
Naoki Yonezawa
http://arxiv.org/abs/1908.07715v1
• [cs.DC]Eunomia: A Permissionless Parallel Chain Protocol Based on Logical Clock
Jianyu Niu
http://arxiv.org/abs/1908.07567v1
• [cs.DC]Securing HPC using Federated Authentication
Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner
http://arxiv.org/abs/1908.07573v1
• [cs.DS]A Quality Metric for Visualization of Clusters in Graphs
Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel Keim
http://arxiv.org/abs/1908.07792v1
• [cs.ET]Implications of Quantum Computing for Artificial Intelligence alignment research
Jaime Sevilla, Pablo Moreno
http://arxiv.org/abs/1908.07613v1
• [cs.HC]Championing Research Through Design in HRI
Michal Luria, John Zimmerman, Jodi Forlizzi
http://arxiv.org/abs/1908.07572v1
• [cs.IR]Assessing the Impact of a User-Item Collaborative Attack on Class of Users
Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
http://arxiv.org/abs/1908.07968v1
• [cs.IR]Boosting the Rating Prediction with Click Data and Textual Contents
ThaiBinh Nguyen, Atsuhiro Takasu
http://arxiv.org/abs/1908.07749v1
• [cs.IR]CommentsRadar: Dive into Unique Data on All Comments on the Web
Sergey Nikolenko, Elena Tutubalina, Zulfat Miftahutdinov, Eugene Beloded
http://arxiv.org/abs/1908.07069v1
• [cs.IR]From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories
Songwei Ge, Curtis Xuan, Ruihua Song, Chao Zou, Wei Liu, Jin Zhou
http://arxiv.org/abs/1908.07590v1
• [cs.IR]Learning Joint Embedding for Cross-Modal Retrieval
Donghuo Zeng
http://arxiv.org/abs/1908.07673v1
• [cs.IR]Personalizing Search Results Using Hierarchical RNN with Query-aware Attention
Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen
http://arxiv.org/abs/1908.07600v1
• [cs.IR]User Diverse Preference Modeling by Multimodal Attentive Metric Learning
Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan Kankanhalli
http://arxiv.org/abs/1908.07738v1
• [cs.IT]Covert Millimeter-Wave Communication via a Dual-Beam Transmitter
Mohammad Vahid Jamali, Hessam Mahdavifar
http://arxiv.org/abs/1908.07591v1
• [cs.IT]Eliminating Impulsive Noise in Pilot-Aided OFDM Channels via Dual of Penalized Atomic Norm
Iman Valiulahi, Farzad Parvaresh, Ali Asghar Beheshti
http://arxiv.org/abs/1908.07729v1
• [cs.IT]Mobility in the Sky: Performance and Mobility Analysis for Cellular-Connected UAVs
Ramy Amer, Walid Saad, Nicola Marchetti
http://arxiv.org/abs/1908.07774v1
• [cs.LG]AdaCliP: Adaptive Clipping for Private SGD
Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
http://arxiv.org/abs/1908.07643v1
• [cs.LG]CUDA optimized Neural Network predicts blood glucose control from quantified joint mobility and anthropometrics
Sterling Ramroach, Andrew Dhanoo, Brian Cockburn, Ajay Joshi
http://arxiv.org/abs/1908.07847v1
• [cs.LG]Decentralized Federated Learning: A Segmented Gossip Approach
Chenghao Hu, Jingyan Jiang, Zhi Wang
http://arxiv.org/abs/1908.07782v1
• [cs.LG]Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
http://arxiv.org/abs/1908.07667v1
• [cs.LG]Developing Creative AI to Generate Sculptural Objects
Songwei Ge, Austin Dill, Eunsu Kang, Chun-Liang Li, Lingyao Zhang, Manzil Zaheer, Barnabas Poczos
http://arxiv.org/abs/1908.07587v1
• [cs.LG]Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
Mohammad Reza Keshtkaran, Chethan Pandarinath
http://arxiv.org/abs/1908.07896v1
• [cs.LG]Estimation of perceptual scales using ordinal embedding
Siavash Haghiri, Felix Wichmann, Ulrike von Luxburg
http://arxiv.org/abs/1908.07962v1
• [cs.LG]Exploring Offline Policy Evaluation for the Continuous-Armed Bandit Problem
Jules Kruijswijk, Petri Parvinen, Maurits Kaptein
http://arxiv.org/abs/1908.07808v1
• [cs.LG]Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
Jun Yang, Shengyang Sun, Daniel M. Roy
http://arxiv.org/abs/1908.07585v1
• [cs.LG]Federated Learning: Challenges, Methods, and Future Directions
Tian Li, Anit Kumar Sahu, Ameet Talwalkar, Virginia Smith
http://arxiv.org/abs/1908.07873v1
• [cs.LG]Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Bingzhe Wu, Shiwan Zhao, Haoyang Xu, ChaoChao Chen, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
http://arxiv.org/abs/1908.07882v1
• [cs.LG]Hotel Recommendation System
Aditi A. Mavalankar, Ajitesh Gupta, Chetan Gandotra, Rishabh Misra
http://arxiv.org/abs/1908.07498v2
• [cs.LG]Multi-hypothesis classifier
Sayantan Sengupta, Sudip Sanyal
http://arxiv.org/abs/1908.07857v1
• [cs.LG]P2L: Predicting Transfer Learning for Images and Semantic Relations
Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian Belgodere
http://arxiv.org/abs/1908.07630v1
• [cs.LG]PAC-Bayes with Backprop
Omar Rivasplata, Vikram M Tankasali, Csaba Szepesvari
http://arxiv.org/abs/1908.07380v2
• [cs.LG]QCNN: Quantile Convolutional Neural Network
Gábor Petneházi
http://arxiv.org/abs/1908.07978v1
• [cs.LG]Real-time Person Re-identification at the Edge: A Mixed Precision Approach
Mohammadreza Baharani, Shrey Mohan, Hamed Tabkhi
http://arxiv.org/abs/1908.07842v1
• [cs.LG]Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz
http://arxiv.org/abs/1908.07885v1
• [cs.LG]Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning
Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
http://arxiv.org/abs/1908.07558v1
• [cs.LG]Testing Robustness Against Unforeseen Adversaries
Daniel Kang, Yi Sun, Dan Hendrycks, Tom Brown, Jacob Steinhardt
http://arxiv.org/abs/1908.08016v1
• [cs.NE]Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics
Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié
http://arxiv.org/abs/1908.08005v1
• [cs.NE]Evolutionary Computation, Optimization and Learning Algorithms for Data Science
Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia
http://arxiv.org/abs/1908.08006v1
• [cs.RO]Design Space of Behaviour Planning for Autonomous Driving
Marko Ilievski, Sean Sedwards, Ashish Gaurav, Aravind Balakrishnan, Atrisha Sarkar, Jaeyoung Lee, Frédéric Bouchard, Ryan De Iaco, Krzysztof Czarnecki
http://arxiv.org/abs/1908.07931v1
• [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/1908.08031v1
• [cs.SD]AI for Earth: Rainforest Conservation by Acoustic Surveillance
Yuan Liu, Zhongwei Cheng, Jie Liu, Bourhan Yassin, Zhe Nan, Jiebo Luo
http://arxiv.org/abs/1908.07517v1
• [cs.SI]Arabs and Atheism: Religious Discussions in the Arab Twittersphere
Youssef Al Hariri, Walid Magdy, Maria Wolters
http://arxiv.org/abs/1908.07811v1
• [cs.SI]Benchmarks for Graph Embedding Evaluation
Palash Goyal, Di Huang, Ankita Goswami, Sujit Rokka Chhetri, Arquimedes Canedo, Emilio Ferrara
http://arxiv.org/abs/1908.06543v2
• [cs.SI]Finding the right scale of a network: Efficient identification of causal emergence through spectral clustering
Ross Griebenow, Brennan Klein, Erik Hoel
http://arxiv.org/abs/1908.07565v1
• [cs.SI]Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate
Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, K. Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, Amit Sheth
http://arxiv.org/abs/1908.06520v2
• [cs.SI]SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs
Hamed Nilforoshan, Neil Shah
http://arxiv.org/abs/1908.07087v2
• [cs.SI]Walking Through Twitter: Sampling a Language-Based Follow Network of Influential Twitter Accounts
Felix Victor Münch, Ben Thies, Cornelius Puschmann, Axel Bruns
http://arxiv.org/abs/1908.07788v1
• [eess.AS]Survey on Deep Neural Networks in Speech and Vision Systems
Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin
http://arxiv.org/abs/1908.07656v1
• [eess.IV]Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis
Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala
http://arxiv.org/abs/1908.07736v1
• [eess.IV]Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
Sulaiman Vesal, Nishant Ravikumar, Andreas Maier
http://arxiv.org/abs/1908.07726v1
• [eess.IV]Dataset Growth in Medical Image Analysis Research
Yuval Landau, Nahum Kiryati
http://arxiv.org/abs/1908.07765v1
• [eess.IV]Direct Neural Network 3D Image Reconstruction of Radon Encoded Data
William Whiteley, Jens Gregor
http://arxiv.org/abs/1908.07516v1
• [eess.IV]Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image
Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
http://arxiv.org/abs/1908.07623v1
• [eess.IV]Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning
Mizuho Nishio, Koji Fujimoto, Kaori Togashi
http://arxiv.org/abs/1908.07704v1
• [eess.IV]Pixel-wise Segmentation of Right Ventricle of Heart
Yaman Dang, Deepak Anand, Amit Sethi
http://arxiv.org/abs/1908.08004v1
• [eess.IV]TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays
Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers
http://arxiv.org/abs/1908.07926v1
• [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/1908.07344v2
• [eess.SP]Detecting Gas Vapor Leaks Using Uncalibrated Sensors
Diaa Badawi, Tuba Ayhan, Sule Ozev, Chengmo Yang, Alex Orailoglu, A. Enis Çetin
http://arxiv.org/abs/1908.07619v1
• [eess.SP]Multi-Antenna Relaying and Reconfigurable Intelligent Surfaces: End-to-End SNR and Achievable Rate
K. Ntontin, J. Song, M. Di Renzo
http://arxiv.org/abs/1908.07967v1
• [eess.SP]Power-Efficient Resource Allocation in Massive MIMO Aided Cloud RANs
Nahid Amani, Saeedeh Parsaeefard, Hassan Taheri, Hossein Pedram
http://arxiv.org/abs/1908.07568v1
• [math.CO]K-Nearest Neighbor Approximation Via the Friend-of-a-Friend Principle
Jacob D. Baron, R. W. R. Darling
http://arxiv.org/abs/1908.07645v1
• [math.NA]Data-driven model reduction, Wiener projections, and the Mori-Zwanzig formalism
Kevin K. Lin, Fei Lu
http://arxiv.org/abs/1908.07725v1
• [math.OC]A tree-based radial basis function method for noisy parallel surrogate optimization
Chenchao Shou, Matthew West
http://arxiv.org/abs/1908.07980v1
• [math.ST]Causality from the Point of View of Classical Statistics
José A. Ferreira
http://arxiv.org/abs/1908.07301v2
• [physics.geo-ph]Ranking Viscous Finger Simulations to an Acquired Ground Truth with Topology-aware Matchings
Maxime Soler, Martin Petitfrere, Gilles Darche, Melanie Plainchault, Bruno Conche, Julien Tierny
http://arxiv.org/abs/1908.07841v1
• [physics.geo-ph]Semi-supervised Sequence Modeling for Elastic Impedance Inversion
Motaz Alfarraj, Ghassan AlRegib
http://arxiv.org/abs/1908.07849v1
• [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/1908.07957v1
• [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/1908.07209v2
• [q-fin.PM]Myopic robust index tracking with Bregman divergence
Spiridon Penev, Pavel Shevchenko, Wei Wu
http://arxiv.org/abs/1908.07659v1
• [stat.AP]A Parametric Bootstrap for the Mean Measure of Divergence
Federico Zertuche, Abigail Meza-Peñaloza
http://arxiv.org/abs/1908.07514v1
• [stat.AP]Bayesian Hierarchical Factor Regression Models to Infer Cause of Death From Verbal Autopsy Data
Kelly R. Moran, Elizabeth L. Turner, David Dunson, Amy H. Herring
http://arxiv.org/abs/1908.07632v1
• [stat.AP]Beyond p-values: a phase II dual-criterion design with statistical significance and clinical relevance
Satrajit Roychoudhury, Nicolas Scheuer, Beat Neuenschwander
http://arxiv.org/abs/1908.07751v1
• [stat.AP]Importance of spatial predictor variable selection in machine learning applications — Moving from data reproduction to spatial prediction
Hanna Meyer, Christoph Reudenbach, Stephan Wöllauer, Thomas Nauss
http://arxiv.org/abs/1908.07805v1
• [stat.CO]Analyzing Commodity Futures Using Factor State-Space Models with Wishart Stochastic Volatility
Tore Selland Kleppe, Roman Liesenfeld, Guilherme Valle Moura, Atle Oglend
http://arxiv.org/abs/1908.07798v1
• [stat.CO]Bayesian models for survival data of clinical trials: Comparison of implementations using R software
Lucie Biard, Anne Bergeron, Sylvie Chevret
http://arxiv.org/abs/1908.06687v2
• [stat.ME]Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models
Keefe Murphy, Thomas Brendan Murphy, Raffaella Piccarreta, Isobel Claire Gormley
http://arxiv.org/abs/1908.07963v1
• [stat.ME]Efficient and flexible simulation-based sample size determination for clinical trials with multiple design parameters
Duncan T. Wilson, Rebecca E. A. Walwyn, Richard Hooper, Julia Brown, Amanda J. Farrin
http://arxiv.org/abs/1908.07769v1
• [stat.ME]Efficient and powerful equivalency test on combined mean and variance with application to diagnostic device comparison studies
Yun Bai, Zengri Wang, Theodore Lystig, Baolin Wu
http://arxiv.org/abs/1908.07979v1
• [stat.ME]Latent group structure and regularized regression
Konstantinos Perrakis, Frank Dondelinger, Sach Mukherjee
http://arxiv.org/abs/1908.07869v1
• [stat.ME]Risk-Efficient Bayesian Data Synthesis for Privacy Protection
Jingchen Hu, Terrance D. Savitsky
http://arxiv.org/abs/1908.07639v1
• [stat.ML]Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
Tomer Lancewicki, Selcuk Kopru
http://arxiv.org/abs/1908.07607v1
• [stat.ML]How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets
Vakeriy Avanesov
http://arxiv.org/abs/1908.07636v1
• [stat.OT]Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off
Sreejith Sreekumar, Deniz Gunduz
http://arxiv.org/abs/1908.07521v1