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.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.GT - 计算机科学与博弈论 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AP - 偏微分方程分析 math.DS - 动力系统 math.OC - 优化与控制 math.ST - 统计理论 physics.flu-dyn - 流体动力学 physics.geo-ph - 地球物理学 physics.ins-det - 仪器和探测器 q-bio.QM - 定量方法 q-fin.ST - 统计金融学 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
• [cond-mat.stat-mech]Estimating differential entropy using recursive copula splitting
• [cs.AI]Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem
• [cs.AI]Deception through Half-Truths
• [cs.AI]Election Control in Social Networks via Edge Addition or Removal
• [cs.AI]Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
• [cs.AI]Partial-Order, Partially-Seen Observations of Fluents or Actions for Plan Recognition as Planning
• [cs.CG]A Penetration Metric for Deforming Tetrahedra using Object Norm
• [cs.CL]Contextual Recurrent Units for Cloze-style Reading Comprehension
• [cs.CL]Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
• [cs.CL]Ethanos: Lightweight Bootstrapping for Ethereum
• [cs.CL]FAQ-based Question Answering via Knowledge Anchors
• [cs.CL]Interactive Attention for Semantic Text Matching
• [cs.CL]KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
• [cs.CL]Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence
• [cs.CL]Prevalence of code mixing in semi-formal patient communication in low resource languages of South Africa
• [cs.CL]Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification
• [cs.CL]Training a code-switching language model with monolingual data
• [cs.CL]Unsupervised Domain Adaptation on Reading Comprehension
• [cs.CL]Unsupervised Pre-training for Natural Language Generation: A Literature Review
• [cs.CL]What do you mean, BERT? Assessing BERT as a Distributional Semantics Model
• [cs.CL]Word-level Lexical Normalisation using Context-Dependent Embeddings
• [cs.CL]t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams
• [cs.CR]Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets
• [cs.CR]Image-Based Feature Representation for Insider Threat Classification
• [cs.CR]Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
• [cs.CV]A Scalable Approach for Facial Action Unit Classifier Training UsingNoisy Data for Pre-Training
• [cs.CV]Adversarial Transformations for Semi-Supervised Learning
• [cs.CV]CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation
• [cs.CV]CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator
• [cs.CV]Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction
• [cs.CV]EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors
• [cs.CV]Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing
• [cs.CV]GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
• [cs.CV]HUSE: Hierarchical Universal Semantic Embeddings
• [cs.CV]Harnessing spatial MRI normalization: patch individual filter layers for CNNs
• [cs.CV]Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA
• [cs.CV]LiDAR ICPS-net: Indoor Camera Positioning based-on Generative Adversarial Network for RGB to Point-Cloud Translation
• [cs.CV]Location-aware Upsampling for Semantic Segmentation
• [cs.CV]Momentum Contrast for Unsupervised Visual Representation Learning
• [cs.CV]PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module
• [cs.CV]Progressive Feature Polishing Network for Salient Object Detection
• [cs.CV]RWF-2000: An Open Large Scale Video Database for Violence Detection
• [cs.CV]Recursive Filter for Space-Variant Variance Reduction
• [cs.CV]Self-Supervised Learning For Few-Shot Image Classification
• [cs.CV]Semantic Granularity Metric Learning for Visual Search
• [cs.CV]SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
• [cs.CV]SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation
• [cs.CV]SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
• [cs.CV]SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification
• [cs.CV]Towards Pose-invariant Lip-Reading
• [cs.CY]By the user, for the user: A user-centric approach to quantifying the privacy of websites
• [cs.CY]Trustworthy Misinformation Mitigation with Soft Information Nudging
• [cs.DB]Sato: Contextual Semantic Type Detection in Tables
• [cs.DC]Compile-time Parallelization of Subscripted Subscript Patterns
• [cs.DS]Graph Spanners in the Message-Passing Model
• [cs.DS]Recent Advances in Algorithmic High-Dimensional Robust Statistics
• [cs.GT]Computing Equilibria in Binary Networked Public Goods Games
• [cs.IT]Double Circulant Self-Dual Codes From Generalized Cyclotomic Classes Modulo 2p
• [cs.IT]Majorization-Minimization Aided Hybrid Transceivers for MIMO Interference Channels
• [cs.IT]Maximizing the Partial Decode-and-Forward Rate in the Gaussian MIMO Relay Channel
• [cs.IT]Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction
• [cs.IT]Multi-Antenna Aided Secrecy Beamforming Optimization for Wirelessly Powered HetNets
• [cs.IT]On the Age of Information in Erasure Channels with Feedback
• [cs.IT]On the Outage Performance of Network NOMA (N-NOMA) Modeled by Poisson Line Cox Point Process
• [cs.IT]Performance of Two-Way Relaying over $α$-$μ$ Fading Channels in Hybrid RF/FSO Wireless Networks
• [cs.LG]2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards
• [cs.LG]A Bayesian/Information Theoretic Model of Bias Learning
• [cs.LG]A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance
• [cs.LG]A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis
• [cs.LG]A Reduction from Reinforcement Learning to No-Regret Online Learning
• [cs.LG]Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling
• [cs.LG]Adversarial Margin Maximization Networks
• [cs.LG]An Application of Multiple-Instance Learning to Estimate Generalization Risk
• [cs.LG]An Efficient Hardware-Oriented Dropout Algorithm
• [cs.LG]Atari-fying the Vehicle Routing Problem with Stochastic Service Requests
• [cs.LG]Attention on Abstract Visual Reasoning
• [cs.LG]Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering
• [cs.LG]Conjugate Gradients for Kernel Machines
• [cs.LG]Contextual Bandits Evolving Over Finite Time
• [cs.LG]DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers
• [cs.LG]Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation
• [cs.LG]Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
• [cs.LG]Federated and Differentially Private Learning for Electronic Health Records
• [cs.LG]Few-Features Attack to Fool Machine Learning Models through Mask-Based GAN
• [cs.LG]Gradientless Descent: High-Dimensional Zeroth-Order Optimization
• [cs.LG]Hierarchical Graph Pooling with Structure Learning
• [cs.LG]Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
• [cs.LG]Learning Model Bias
• [cs.LG]Learning internal representations
• [cs.LG]On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network
• [cs.LG]Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting
• [cs.LG]Privacy and Utility Preserving Sensor-Data Transformations
• [cs.LG]Revenue Maximization of Airbnb Marketplace using Search Results
• [cs.LG]Robust Parameter-Free Season Length Detection in Time Series
• [cs.LG]SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model
• [cs.LG]Supplementary material for Uncorrected least-squares temporal difference with lambda-return
• [cs.LG]TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records
• [cs.LG]The Canonical Distortion Measure for Vector Quantization and Function Approximation
• [cs.LG]There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
• [cs.LG]Triply Robust Off-Policy Evaluation
• [cs.LG]Understanding the Disharmony between Weight Normalization Family and Weight Decay: $ε-$shifted $L_2$ Regularizer
• [cs.LG]ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications
• [cs.NE]LGN-CNN: a biologically inspired CNN architecture
• [cs.NI]Optimal Server Selection for Straggler Mitigation
• [cs.NI]Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)
• [cs.RO]Generalized Flexible Hybrid Cable-Driven Robot (HCDR): Modeling, Control, and Analysis
• [cs.RO]Motion Reasoning for Goal-Based Imitation Learning
• [cs.RO]Predicting Unobserved Space For Planning via Depth Map Augmentation
• [cs.RO]Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge
• [cs.RO]Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects
• [cs.RO]Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints
• [cs.SD]Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
• [cs.SD]Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement
• [cs.SD]Using musical relationships between chord labels in automatic chord extraction tasks
• [cs.SI]Hiding in Multilayer Networks
• [eess.AS]Emotional Voice Conversion using multitask learning with Text-to-speech
• [eess.AS]The phonetic bases of vocal expressed emotion: natural versus acted
• [eess.IV]Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs
• [eess.IV]Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data
• [eess.IV]Scientific Image Restoration Anywhere
• [eess.IV]VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications
• [eess.SP]Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT
• [eess.SP]An Improved Tobit Kalman Filter with Adaptive Censoring Limits
• [eess.SP]Condition monitoring and early diagnostics methodologies for hydropower plants
• [eess.SP]Deep Learning for Over-the-Air Non-Orthogonal Signal Classification
• [eess.SP]Real-time Anomaly Detection and Classification in Streaming PMU Data
• [eess.SP]Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
• [eess.SY]Deep Reinforcement Learning for Adaptive Traffic Signal Control
• [math.AP]Concordance probability in a big data setting: application in non-life insurance
• [math.DS]Predicting sparse circle maps from their dynamics
• [math.OC]Existence of local minima of a minimal 2D pose-graph SLAM problem
• [math.ST]An Invariant Test for Equality of Two Large Scale Covariance Matrices
• [math.ST]Kriging: Beyond Matérn
• [math.ST]Location estimation for symmetric log-concave densities
• [math.ST]Sparse Density Estimation with Measurement Errors
• [physics.flu-dyn]Deep learning velocity signals allows to quantify turbulence intensity
• [physics.geo-ph]A Machine-Learning Approach for Earthquake Magnitude Estimation
• [physics.geo-ph]Convolutional Neural Network for Convective Storm Nowcasting Using 3D Doppler Weather Radar Data
• [physics.ins-det]AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case
• [q-bio.QM]AMPL: A Data-Driven Modeling Pipeline for Drug Discovery
• [q-bio.QM]DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
• [q-bio.QM]Fetal Head and Abdomen Measurement Using Convolutional Neural Network, Hough Transform, and Difference of Gaussian Revolved along Elliptical Path (Dogell) Algorithm
• [q-fin.ST]Change-point Analysis in Financial Networks
• [q-fin.TR]Reinforcement Learning for Market Making in a Multi-agent Dealer Market
• [quant-ph]A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer
• [quant-ph]Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer
• [stat.AP]Constrained Bayesian ICA for Brain Connectome Inference
• [stat.AP]Projecting Flood-Inducing Precipitation with a Bayesian Analogue Model
• [stat.AP]rFIA: An R package for space-time estimation of forest attributes with the Forest Inventory and Analysis Database
• [stat.ME]A Simulation-free Group Sequential Design with Max-combo Tests in the Presence of Non-proportional Hazards
• [stat.ME]Empirical Bayes mean estimation with nonparametric errors via order statistic regression
• [stat.ME]Guidelines for estimating causal effects in pragmatic randomized trials
• [stat.ME]Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference
• [stat.ML]A Model of Double Descent for High-dimensional Binary Linear Classification
• [stat.ML]Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks
• [stat.ML]Bayesian Optimization with Uncertain Preferences over Attributes
• [stat.ML]Distributional Clustering: A distribution-preserving clustering method
• [stat.ML]Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction
• [stat.ML]Scalable Exact Inference in Multi-Output Gaussian Processes
• [stat.ML]Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
• [stat.ML]Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems
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• [cond-mat.stat-mech]Estimating differential entropy using recursive copula splitting
Gil Ariel, Yoram Louzoun
http://arxiv.org/abs/1911.06204v1
• [cs.AI]Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem
Hugo Gilbert, Tom Portoleau, Olivier Spanjaard
http://arxiv.org/abs/1911.06226v1
• [cs.AI]Deception through Half-Truths
Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik
http://arxiv.org/abs/1911.05885v1
• [cs.AI]Election Control in Social Networks via Edge Addition or Removal
Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti
http://arxiv.org/abs/1911.06198v1
• [cs.AI]Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
Haoyu Song, Wei-Nan Zhang, Jingwen Hu, Ting Liu
http://arxiv.org/abs/1911.05889v1
• [cs.AI]Partial-Order, Partially-Seen Observations of Fluents or Actions for Plan Recognition as Planning
Jennifer M. Nelson, Rogelio E. Cardona-Rivera
http://arxiv.org/abs/1911.05876v1
• [cs.CG]A Penetration Metric for Deforming Tetrahedra using Object Norm
Jisu Kim, Young J. Kim
http://arxiv.org/abs/1911.06144v1
• [cs.CL]Contextual Recurrent Units for Cloze-style Reading Comprehension
Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu
http://arxiv.org/abs/1911.05960v1
• [cs.CL]Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
http://arxiv.org/abs/1911.06161v1
• [cs.CL]Ethanos: Lightweight Bootstrapping for Ethereum
Jae-Yun Kim, Jun-Mo Lee, Yeon-Jae Koo, Sang-Hyeon Park, Soo-Mook Moon
http://arxiv.org/abs/1911.05953v1
• [cs.CL]FAQ-based Question Answering via Knowledge Anchors
Ruobing Xie, Yanan Lu, Fen Lin, Leyu Lin
http://arxiv.org/abs/1911.05930v1
• [cs.CL]Interactive Attention for Semantic Text Matching
Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang
http://arxiv.org/abs/1911.06146v1
• [cs.CL]KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang
http://arxiv.org/abs/1911.06136v1
• [cs.CL]Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence
P. Jayashree, Ballijepalli Shreya, P. K. Srijith
http://arxiv.org/abs/1911.06118v1
• [cs.CL]Prevalence of code mixing in semi-formal patient communication in low resource languages of South Africa
Monika Obrocka, Charles Copley, Themba Gqaza, Elizabeth Grant
http://arxiv.org/abs/1911.05636v2
• [cs.CL]Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification
Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage
http://arxiv.org/abs/1911.06121v1
• [cs.CL]Training a code-switching language model with monolingual data
Shun-Po Chuang, Tzu-Wei Sung, Hung-Yi Lee
http://arxiv.org/abs/1911.06003v1
• [cs.CL]Unsupervised Domain Adaptation on Reading Comprehension
Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou
http://arxiv.org/abs/1911.06137v1
• [cs.CL]Unsupervised Pre-training for Natural Language Generation: A Literature Review
Yuanxin Liu, Zheng Lin
http://arxiv.org/abs/1911.06171v1
• [cs.CL]What do you mean, BERT? Assessing BERT as a Distributional Semantics Model
Timothee Mickus, Denis Paperno, Mathieu Constant, Kees van Deemeter
http://arxiv.org/abs/1911.05758v1
• [cs.CL]Word-level Lexical Normalisation using Context-Dependent Embeddings
Michael Stewart, Wei Liu, Rachel Cardell-Oliver
http://arxiv.org/abs/1911.06172v1
• [cs.CL]t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams
Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez
http://arxiv.org/abs/1911.06147v1
• [cs.CR]Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets
Shangqi Lai, Xingliang Yuan, Amin Sakzad, Mahsa Salehi, Joseph K. Liu, Dongxi Liu
http://arxiv.org/abs/1911.05927v1
• [cs.CR]Image-Based Feature Representation for Insider Threat Classification
Gayathri R G, Atul Sajjanhar, Yong Xiang
http://arxiv.org/abs/1911.05879v1
• [cs.CR]Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
Maede Zolanvari, Marcio A. Teixeira, Lav Gupta, Khaled M. Khan, Raj Jain
http://arxiv.org/abs/1911.05771v1
• [cs.CV]A Scalable Approach for Facial Action Unit Classifier Training UsingNoisy Data for Pre-Training
Alberto Fung, Daniel McDuff
http://arxiv.org/abs/1911.05946v1
• [cs.CV]Adversarial Transformations for Semi-Supervised Learning
Teppei Suzuki, Ikuro Sato
http://arxiv.org/abs/1911.06181v1
• [cs.CV]CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation
Yushuai Hu, Yaochu Jin, Runhua Li, Xiangxiang Zhang
http://arxiv.org/abs/1911.06080v1
• [cs.CV]CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator
Yugang Chen, Muchun Chen, Chaoyue Song, Bingbing Ni
http://arxiv.org/abs/1911.06102v1
• [cs.CV]Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction
Kushagra Mahajan, Monika Sharma, Lovekesh Vig
http://arxiv.org/abs/1911.05870v1
• [cs.CV]EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors
George Plastiras, Christos Kyrkou, Theocharis Theocharides
http://arxiv.org/abs/1911.06091v1
• [cs.CV]Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing
George Plastiras, Christos Kyrkou, Theocharis Theocharides
http://arxiv.org/abs/1911.06073v1
• [cs.CV]GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
Yuan Liu, Zehong Shen, Zhixuan Lin, Sida Peng, Hujun Bao, Xiaowei Zhou
http://arxiv.org/abs/1911.05932v1
• [cs.CV]HUSE: Hierarchical Universal Semantic Embeddings
Pradyumna Narayana, Aniket Pednekar, Abishek Krishnamoorthy, Kazoo Sone, Sugato Basu
http://arxiv.org/abs/1911.05978v1
• [cs.CV]Harnessing spatial MRI normalization: patch individual filter layers for CNNs
Fabian Eitel, Jan Philipp Albrecht, Friedemann Paul, Kerstin Ritter
http://arxiv.org/abs/1911.06278v1
• [cs.CV]Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA
Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach
http://arxiv.org/abs/1911.06258v1
• [cs.CV]LiDAR ICPS-net: Indoor Camera Positioning based-on Generative Adversarial Network for RGB to Point-Cloud Translation
Ali Ghofrani, Rahil Mahdian Toroghi, Seyed Mojtaba Tabatabaie, Seyed Maziar Tabasi
http://arxiv.org/abs/1911.05871v1
• [cs.CV]Location-aware Upsampling for Semantic Segmentation
Xiangyu He, Zitao Mo, Qiang Chen, Anda Cheng, Peisong Wang, Jian Cheng
http://arxiv.org/abs/1911.05250v2
• [cs.CV]Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick
http://arxiv.org/abs/1911.05722v2
• [cs.CV]PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module
Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He
http://arxiv.org/abs/1911.06084v1
• [cs.CV]Progressive Feature Polishing Network for Salient Object Detection
Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai
http://arxiv.org/abs/1911.05942v1
• [cs.CV]RWF-2000: An Open Large Scale Video Database for Violence Detection
Ming Cheng, Kunjing Cai, Ming Li
http://arxiv.org/abs/1911.05913v1
• [cs.CV]Recursive Filter for Space-Variant Variance Reduction
Alexander Zamyatin
http://arxiv.org/abs/1911.04992v2
• [cs.CV]Self-Supervised Learning For Few-Shot Image Classification
Da Chen, Yuefeng Chen, Yuhong Li, Feng Mao, Yuan He, Hui Xue
http://arxiv.org/abs/1911.06045v1
• [cs.CV]Semantic Granularity Metric Learning for Visual Search
Dipu Manandhar, Muhammet Bastan, Kim-Hui Yap
http://arxiv.org/abs/1911.06047v1
• [cs.CV]SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
Yinda Xu, Zeyu Wang, Zuoxin Li, Yuan Ye, Gang Yu
http://arxiv.org/abs/1911.06188v1
• [cs.CV]SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation
Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim
http://arxiv.org/abs/1911.05939v1
• [cs.CV]SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
Shunwang Gong, Lei Chen, Michael Bronstein, Stefanos Zafeiriou
http://arxiv.org/abs/1911.05856v1
• [cs.CV]SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification
Songxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao
http://arxiv.org/abs/1911.05358v2
• [cs.CV]Towards Pose-invariant Lip-Reading
Shiyang Cheng, Pingchuan Ma, Georgios Tzimiropoulos, Stavros Petridis, Adrian Bulat, Jie Shen, Maja Pantic
http://arxiv.org/abs/1911.06095v1
• [cs.CY]By the user, for the user: A user-centric approach to quantifying the privacy of websites
Matius Chairani, Mathieu Chevalley, Abderrahmane Lazraq, Sruti Bhagavatula
http://arxiv.org/abs/1911.05798v1
• [cs.CY]Trustworthy Misinformation Mitigation with Soft Information Nudging
Benjamin D. Horne, Maurício Gruppi, Sibel Adalı
http://arxiv.org/abs/1911.05825v1
• [cs.DB]Sato: Contextual Semantic Type Detection in Tables
Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çağatay Demiralp, Wang-Chiew Tan
http://arxiv.org/abs/1911.06311v1
• [cs.DC]Compile-time Parallelization of Subscripted Subscript Patterns
Akshay Bhosale, Rudolf Eigenmann
http://arxiv.org/abs/1911.05839v1
• [cs.DS]Graph Spanners in the Message-Passing Model
Manuel Fernandez, David P. Woodruff, Taisuke Yasuda
http://arxiv.org/abs/1911.05991v1
• [cs.DS]Recent Advances in Algorithmic High-Dimensional Robust Statistics
Ilias Diakonikolas, Daniel M. Kane
http://arxiv.org/abs/1911.05911v1
• [cs.GT]Computing Equilibria in Binary Networked Public Goods Games
Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik
http://arxiv.org/abs/1911.05788v1
• [cs.IT]Double Circulant Self-Dual Codes From Generalized Cyclotomic Classes Modulo 2p
Tongjiang Yan, Wenpeng Gao
http://arxiv.org/abs/1911.06130v1
• [cs.IT]Majorization-Minimization Aided Hybrid Transceivers for MIMO Interference Channels
Shiqi Gong, Chengwen Xing, Vincent K. N. Lau, Fellow, IEEE, Sheng Chen, Fellow, IEEE, Lajos Hanzo, Fellow, IEEE
http://arxiv.org/abs/1911.05906v1
• [cs.IT]Maximizing the Partial Decode-and-Forward Rate in the Gaussian MIMO Relay Channel
Christoph Hellings, Patrick Gest, Thomas Wiegart, Wolfgang Utschick
http://arxiv.org/abs/1911.05767v1
• [cs.IT]Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction
Muhammad Alrabeiah, Andrew Hredzak, Ahmed Alkhateeb
http://arxiv.org/abs/1911.06255v1
• [cs.IT]Multi-Antenna Aided Secrecy Beamforming Optimization for Wirelessly Powered HetNets
Shiqi Gong, Shaodan Ma, Chengwen Xing, Yonghui Li, Fellow, IEEE, Lajos Hanzo, Fellow, IEEE
http://arxiv.org/abs/1911.05903v1
• [cs.IT]On the Age of Information in Erasure Channels with Feedback
Alireza Javani, Marwen Zorgui, Zhiying Wang
http://arxiv.org/abs/1911.05840v1
• [cs.IT]On the Outage Performance of Network NOMA (N-NOMA) Modeled by Poisson Line Cox Point Process
Yanshi Sun, Zhiguo Ding, Xuchu Dai
http://arxiv.org/abs/1911.04295v2
• [cs.IT]Performance of Two-Way Relaying over $α$-$μ$ Fading Channels in Hybrid RF/FSO Wireless Networks
Mohammed A. Amer, Suhail Al-Dharrab
http://arxiv.org/abs/1911.05959v1
• [cs.LG]2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards
Tolulope A. Odetola, Katie M. Groves, Syed Rafay Hasan
http://arxiv.org/abs/1911.05944v1
• [cs.LG]A Bayesian/Information Theoretic Model of Bias Learning
Jonathan Baxter
http://arxiv.org/abs/1911.06129v1
• [cs.LG]A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance
Luca Della Libera
http://arxiv.org/abs/1911.06256v1
• [cs.LG]A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis
Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji
http://arxiv.org/abs/1911.06009v1
• [cs.LG]A Reduction from Reinforcement Learning to No-Regret Online Learning
Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoff Gordon
http://arxiv.org/abs/1911.05873v1
• [cs.LG]Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling
Mengying Zhu, Xiaolin Zheng, Yan Wang, Yuyuan Li, Qianqiao Liang
http://arxiv.org/abs/1911.05309v2
• [cs.LG]Adversarial Margin Maximization Networks
Ziang Yan, Yiwen Guo, Changshui Zhang
http://arxiv.org/abs/1911.05916v1
• [cs.LG]An Application of Multiple-Instance Learning to Estimate Generalization Risk
Daiki Suehiro
http://arxiv.org/abs/1911.05999v1
• [cs.LG]An Efficient Hardware-Oriented Dropout Algorithm
Yoeng Jye Yeoh, Takashi Morie, Hakaru Tamukoh
http://arxiv.org/abs/1911.05941v1
• [cs.LG]Atari-fying the Vehicle Routing Problem with Stochastic Service Requests
Nicholas D. Kullman, Jorge E. Mendoza, Martin Cousineau, Justin C. Goodson
http://arxiv.org/abs/1911.05922v1
• [cs.LG]Attention on Abstract Visual Reasoning
Lukas Hahne, Timo Lüddecke, Florentin Wörgötter, David Kappel
http://arxiv.org/abs/1911.05990v1
• [cs.LG]Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering
Yule Vaz, Rodrigo Fernandes de Mello, Carlos Henrique Grossi
http://arxiv.org/abs/1911.05806v1
• [cs.LG]Conjugate Gradients for Kernel Machines
Simon Bartels, Philipp Hennig
http://arxiv.org/abs/1911.06048v1
• [cs.LG]Contextual Bandits Evolving Over Finite Time
Harsh Deshpande, Vishal Jain, Sharayu Moharir
http://arxiv.org/abs/1911.05956v1
• [cs.LG]DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers
Isaac Corley, Jonathan Lwowski, Justin Hoffman
http://arxiv.org/abs/1911.06285v1
• [cs.LG]Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation
Mengzhuo Guo, Zhongzhi Xu, Qingpeng Zhang, Xiuwu Liao, Jiapeng Liu
http://arxiv.org/abs/1911.05909v1
• [cs.LG]Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell
http://arxiv.org/abs/1911.05774v1
• [cs.LG]Federated and Differentially Private Learning for Electronic Health Records
Stephen R. Pfohl, Andrew M. Dai, Katherine Heller
http://arxiv.org/abs/1911.05861v1
• [cs.LG]Few-Features Attack to Fool Machine Learning Models through Mask-Based GAN
Feng Chen, Yunkai Shang, Bo Xu, Jincheng Hu
http://arxiv.org/abs/1911.06269v1
• [cs.LG]Gradientless Descent: High-Dimensional Zeroth-Order Optimization
Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi, Zhang
http://arxiv.org/abs/1911.06317v1
• [cs.LG]Hierarchical Graph Pooling with Structure Learning
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang
http://arxiv.org/abs/1911.05954v1
• [cs.LG]Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford
http://arxiv.org/abs/1911.05815v1
• [cs.LG]Learning Model Bias
Jonathan Baxter
http://arxiv.org/abs/1911.06164v1
• [cs.LG]Learning internal representations
Jonathan Baxter
http://arxiv.org/abs/1911.05781v1
• [cs.LG]On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network
Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen
http://arxiv.org/abs/1911.06217v1
• [cs.LG]Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting
Haoyu Zhao, Wei Chen
http://arxiv.org/abs/1911.05949v1
• [cs.LG]Privacy and Utility Preserving Sensor-Data Transformations
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
http://arxiv.org/abs/1911.05996v1
• [cs.LG]Revenue Maximization of Airbnb Marketplace using Search Results
Jiawei Wen, Puya Vahabi, Mihajlo Grbovic
http://arxiv.org/abs/1911.05887v1
• [cs.LG]Robust Parameter-Free Season Length Detection in Time Series
Maximilian Toller, Roman Kern
http://arxiv.org/abs/1911.06015v1
• [cs.LG]SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model
Hideaki Hayashi, Seiichi Uchida
http://arxiv.org/abs/1911.06028v1
• [cs.LG]Supplementary material for Uncorrected least-squares temporal difference with lambda-return
Takayuki Osogami
http://arxiv.org/abs/1911.06057v1
• [cs.LG]TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records
Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter Stewart, Joyce Ho, Jimeng Sun
http://arxiv.org/abs/1911.05843v1
• [cs.LG]The Canonical Distortion Measure for Vector Quantization and Function Approximation
Jonathan Baxter
http://arxiv.org/abs/1911.06319v1
• [cs.LG]There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting
http://arxiv.org/abs/1911.05904v1
• [cs.LG]Triply Robust Off-Policy Evaluation
Anqi Liu, Hao Liu, Anima Anandkumar, Yisong Yue
http://arxiv.org/abs/1911.05811v1
• [cs.LG]Understanding the Disharmony between Weight Normalization Family and Weight Decay: $ε-$shifted $L_2$ Regularizer
Li Xiang, Chen Shuo, Xia Yan, Yang Jian
http://arxiv.org/abs/1911.05920v1
• [cs.LG]ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications
Muhammad Alrabeiah, Andrew Hredzak, Zhenhao Liu, Ahmed Alkhateeb
http://arxiv.org/abs/1911.06257v1
• [cs.NE]LGN-CNN: a biologically inspired CNN architecture
Federico Bertoni, Giovanna Citti, Alessandro Sarti
http://arxiv.org/abs/1911.06276v1
• [cs.NI]Optimal Server Selection for Straggler Mitigation
Ajay Badita, Parimal Parag, Vaneet Aggarwal
http://arxiv.org/abs/1911.05918v1
• [cs.NI]Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)
Madyan Alsenwi, Kitae Kim, Choong Seon Hong
http://arxiv.org/abs/1911.05294v1
• [cs.RO]Generalized Flexible Hybrid Cable-Driven Robot (HCDR): Modeling, Control, and Analysis
Ronghuai Qi, Amir Khajepour, William W. Melek
http://arxiv.org/abs/1911.06222v1
• [cs.RO]Motion Reasoning for Goal-Based Imitation Learning
De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox
http://arxiv.org/abs/1911.05864v1
• [cs.RO]Predicting Unobserved Space For Planning via Depth Map Augmentation
Marius Fehr, Tim Taubner, Yang Liu, Roland Siegwart, Cesar Cadena
http://arxiv.org/abs/1911.05761v1
• [cs.RO]Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge
Felix von Drigalski, Christian Schlette, Martin Rudorfer, Nikolaus Correll, Joshua Triyonoputro, Weiwei Wan, Tokuo Tsuji, Tetsuyou Watanabe
http://arxiv.org/abs/1911.05884v1
• [cs.RO]Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects
Mengyuan Yan, Yilin Zhu, Ning Jin, Jeannette Bohg
http://arxiv.org/abs/1911.06283v1
• [cs.RO]Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints
Xingxing Zuo, Mingming Zhang, Yiming Chen, Yong Liu, Guoquan Huang, Mingyang Li
http://arxiv.org/abs/1911.05787v1
• [cs.SD]Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous
http://arxiv.org/abs/1911.05894v1
• [cs.SD]Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement
Soumi Maiti, Michael I Mandel
http://arxiv.org/abs/1911.06266v1
• [cs.SD]Using musical relationships between chord labels in automatic chord extraction tasks
Tristan Carsault, Jérôme Nika, Philippe Esling
http://arxiv.org/abs/1911.04973v2
• [cs.SI]Hiding in Multilayer Networks
Marcin Waniek, Tomasz P. Michalak, Talal Rahwan
http://arxiv.org/abs/1911.05947v1
• [eess.AS]Emotional Voice Conversion using multitask learning with Text-to-speech
Tae-Ho Kim, Sungjae Cho, Shinkook Choi, Sejik Park, Soo-Young Lee
http://arxiv.org/abs/1911.06149v1
• [eess.AS]The phonetic bases of vocal expressed emotion: natural versus acted
Hira Dhamyal, Shahan A. Memon, Bhiksha Raj, Rita Singh
http://arxiv.org/abs/1911.05733v1
• [eess.IV]Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs
Jeremiah W. Johnson
http://arxiv.org/abs/1911.06216v1
• [eess.IV]Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data
Huidong Xie, Hongming Shan, Ge Wang
http://arxiv.org/abs/1911.05880v1
• [eess.IV]Scientific Image Restoration Anywhere
Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey Fox, Ian Foster
http://arxiv.org/abs/1911.05878v1
• [eess.IV]VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications
Chyuan-Tyng Wu, Leo F. Isikdogan, Sushma Rao, Bhavin Nayak, Timo Gerasimow, Aleksandar Sutic, Liron Ain-kedem, Gilad Michael
http://arxiv.org/abs/1911.05931v1
• [eess.SP]Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT
Christopher M. Sandino, Peng Lai, Shreyas S. Vasanawala, Joseph Y. Cheng
http://arxiv.org/abs/1911.05845v1
• [eess.SP]An Improved Tobit Kalman Filter with Adaptive Censoring Limits
Kostas Loumponias, Nicholas Vretos, George Tsaklidis, Petros Daras
http://arxiv.org/abs/1911.06190v1
• [eess.SP]Condition monitoring and early diagnostics methodologies for hydropower plants
Alessandro Betti, Emanuele Crisostomi, Gianluca Paolinelli, Antonio Piazzi, Fabrizio Ruffini, Mauro Tucci
http://arxiv.org/abs/1911.06242v1
• [eess.SP]Deep Learning for Over-the-Air Non-Orthogonal Signal Classification
Tongyang Xu, Izzat Darwazeh
http://arxiv.org/abs/1911.06174v1
• [eess.SP]Real-time Anomaly Detection and Classification in Streaming PMU Data
Christopher Hannon, Deepjyoti Deka, Dong Jin, Marc Vuffray, Andrey Y. Lokhov
http://arxiv.org/abs/1911.06316v1
• [eess.SP]Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
Wankai Tang, Ming Zheng Chen, Xiangyu Chen, Jun Yan Dai, Yu Han, Marco Di Renzo, Yong Zeng, Shi Jin, Qiang Cheng, Tie Jun Cui
http://arxiv.org/abs/1911.05326v1
• [eess.SY]Deep Reinforcement Learning for Adaptive Traffic Signal Control
Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar
http://arxiv.org/abs/1911.06294v1
• [math.AP]Concordance probability in a big data setting: application in non-life insurance
Robin Van Oirbeek, Christopher Grumiau, Tim Verdonck
http://arxiv.org/abs/1911.06187v1
• [math.DS]Predicting sparse circle maps from their dynamics
Felix Krahmer, Christian Kühn, Nada Sissouno
http://arxiv.org/abs/1911.06312v1
• [math.OC]Existence of local minima of a minimal 2D pose-graph SLAM problem
Felix H. Kong, Jiaheng Zhao, Liang Zhao, Shoudong Huang
http://arxiv.org/abs/1911.05734v1
• [math.ST]An Invariant Test for Equality of Two Large Scale Covariance Matrices
Taehyeon Koo, Seonghun Cho, Johan Lim
http://arxiv.org/abs/1911.06006v1
• [math.ST]Kriging: Beyond Matérn
Pulong Ma, Anindya Bhadra
http://arxiv.org/abs/1911.05865v1
• [math.ST]Location estimation for symmetric log-concave densities
Nilanjana Laha
http://arxiv.org/abs/1911.06225v1
• [math.ST]Sparse Density Estimation with Measurement Errors
Xiaowei Yang, Huiming Zhang, Haoyu Wei, Shouzheng Zhang
http://arxiv.org/abs/1911.06215v1
• [physics.flu-dyn]Deep learning velocity signals allows to quantify turbulence intensity
Alessandro Corbetta, Vlado Menkovski, Roberto Benzi, Federico Toschi
http://arxiv.org/abs/1911.05718v2
• [physics.geo-ph]A Machine-Learning Approach for Earthquake Magnitude Estimation
S. Mostafa Mousavi, Gregory C. Beroza
http://arxiv.org/abs/1911.05975v1
• [physics.geo-ph]Convolutional Neural Network for Convective Storm Nowcasting Using 3D Doppler Weather Radar Data
Lei Han, Juanzhen Sun, Wei Zhang
http://arxiv.org/abs/1911.06185v1
• [physics.ins-det]AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case
E. Cisbani, A. Del Dotto, C. Fanelli, M. Williams, M. Alfred, F. Barbosa, L. Barion, V. Berdnikov, W. Brooks, T. Cao, M. Contalbrigo, S. Danagoulian, A. Datta, M. Demarteau, A. Denisov, M. Diefenthaler, A. Durum, D. Fields, Y. Furletova, C. Gleason, M. Grosse-Perdekamp, M. Hattawy, X. He, H. van Hecke, D. Higinbotham, T. Horn, C. Hyde, Y. Ilieva, G. Kalicy, A. Kebede, B. Kim, M. Liu, J. McKisson, R. Mendez, P. Nadel-Turonski, I. Pegg, D. Romanov, M. Sarsour, C. L. da Silva, J. Stevens, X. Sun, S. Syed, R. Towell, J. Xie, Z. W. Zhao, B. Zihlmann, C. Zorn
http://arxiv.org/abs/1911.05797v1
• [q-bio.QM]AMPL: A Data-Driven Modeling Pipeline for Drug Discovery
Amanda J. Minnich, Kevin McLoughlin, Margaret Tse, Jason Deng, Andrew Weber, Neha Murad, Benjamin D. Madej, Bharath Ramsundar, Tom Rush, Stacie Calad-Thomson, Jim Brase, Jonathan E. Allen
http://arxiv.org/abs/1911.05211v2
• [q-bio.QM]DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
Aakash Kaku, Chaitra V. Hegde, Jeffrey Huang, Sohae Chung, Xiuyuan Wang, Matthew Young, Alireza Radmanesh, Yvonne W. Lui, Narges Razavian
http://arxiv.org/abs/1911.05567v2
• [q-bio.QM]Fetal Head and Abdomen Measurement Using Convolutional Neural Network, Hough Transform, and Difference of Gaussian Revolved along Elliptical Path (Dogell) Algorithm
Kezia Irene, Aditya Yudha P., Harlan Haidi, Nurul Faza, Winston Chandra
http://arxiv.org/abs/1911.06298v1
• [q-fin.ST]Change-point Analysis in Financial Networks
Sayantan Banerjee, Kousik Guhathakurta
http://arxiv.org/abs/1911.05952v1
• [q-fin.TR]Reinforcement Learning for Market Making in a Multi-agent Dealer Market
Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant Reddy, Manuela Veloso
http://arxiv.org/abs/1911.05892v1
• [quant-ph]A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer
Nga T. T. Nguyen, Garrett T. Kenyon, Boram Yoon
http://arxiv.org/abs/1911.06267v1
• [quant-ph]Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer
João Caldeira, Joshua Job, Steven H. Adachi, Brian Nord, Gabriel N. Perdue
http://arxiv.org/abs/1911.06259v1
• [stat.AP]Constrained Bayesian ICA for Brain Connectome Inference
Claire Donnat, Leonardo Tozzi, Susan Holmes
http://arxiv.org/abs/1911.05770v1
• [stat.AP]Projecting Flood-Inducing Precipitation with a Bayesian Analogue Model
Gregory P. Bopp, Benjamin A. Shaby, Chris E. Forest, Alfonso Mejía
http://arxiv.org/abs/1911.05881v1
• [stat.AP]rFIA: An R package for space-time estimation of forest attributes with the Forest Inventory and Analysis Database
Hunter Stanke, Andrew O. Finley, Aaron S. Weed, Brian F. Walters, Grant M. Domke
http://arxiv.org/abs/1911.06302v1
• [stat.ME]A Simulation-free Group Sequential Design with Max-combo Tests in the Presence of Non-proportional Hazards
Lili Wang, Xiaodong Luo, Cheng Zheng
http://arxiv.org/abs/1911.05684v2
• [stat.ME]Empirical Bayes mean estimation with nonparametric errors via order statistic regression
Nikolaos Ignatiadis, Sujayam Saha, Dennis L. Sun, Omkar Muralidharan
http://arxiv.org/abs/1911.05970v1
• [stat.ME]Guidelines for estimating causal effects in pragmatic randomized trials
Eleanor J. Murray, Sonja A. Swanson, Jessica Young, Miguel A. Hernán
http://arxiv.org/abs/1911.06030v1
• [stat.ME]Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference
Suofei Wu, Jan Hannig, Thomas C. M. Lee
http://arxiv.org/abs/1911.06177v1
• [stat.ML]A Model of Double Descent for High-dimensional Binary Linear Classification
Zeyu Deng, Abla Kammoun, Christos Thrampoulidis
http://arxiv.org/abs/1911.05822v1
• [stat.ML]Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks
Simone Gramsch, Alex Sarishvili, Andre Schmeißer
http://arxiv.org/abs/1911.06213v1
• [stat.ML]Bayesian Optimization with Uncertain Preferences over Attributes
Raul Astudillo, Peter I. Frazier
http://arxiv.org/abs/1911.05934v1
• [stat.ML]Distributional Clustering: A distribution-preserving clustering method
Arvind Krishna, Simon Mak, Roshan Joseph
http://arxiv.org/abs/1911.05940v1
• [stat.ML]Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction
Yoonjung Kim, Jeremy C. Weiss
http://arxiv.org/abs/1911.05109v2
• [stat.ML]Scalable Exact Inference in Multi-Output Gaussian Processes
Wessel P. Bruinsma, Eric Perim, Will Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner
http://arxiv.org/abs/1911.06287v1
• [stat.ML]Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew Hirn
http://arxiv.org/abs/1911.06253v1
• [stat.ML]Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems
Aditya Narayan Ravi, Pranav Poduval, Dr. Sharayu Moharir
http://arxiv.org/abs/1911.06239v1