cs.AI - 人工智能 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.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.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 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.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.comp-ph - 计算物理学 physics.data-an - 数据分析、 统计和概率 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
• [cs.AI]Novel Approach for Solving a Variant of Equal Flow Problem
• [cs.AI]OpenBioLink: A resource and benchmarking framework for large-scale biomedical link prediction
• [cs.AI]Qualitative Numeric Planning: Reductions and Complexity
• [cs.AI]Toward XAI for Intelligent Tutoring Systems: A Case Study
• [cs.CL]A Novel Topology for End-to-end Temporal Classification and Segmentation with Recurrent Neural Network
• [cs.CL]Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic
• [cs.CL]Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation
• [cs.CL]Fraud detection in telephone conversations for financial services using linguistic features
• [cs.CL]GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies
• [cs.CL]Homograph Disambiguation Through Selective Diacritic Restoration
• [cs.CL]How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning
• [cs.CL]Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset
• [cs.CR]Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing
• [cs.CV]3D Particle Positions from Computer Stereo Vision in PK-4
• [cs.CV]3D-GMNet: Learning to Estimate 3D Shape from A Single Image As A Gaussian Mixture
• [cs.CV]A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
• [cs.CV]Appending Adversarial Frames for Universal Video Attack
• [cs.CV]Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability
• [cs.CV]Basis Prediction Networks for Effective Burst Denoising with Large Kernels
• [cs.CV]Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints
• [cs.CV]Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation
• [cs.CV]Comprehensive Soccer Video Understanding: Towards Human-comparable Video Understanding System in Constrained Environment
• [cs.CV]Context-Dependent Models for Predicting and Characterizing Facial Expressiveness
• [cs.CV]DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
• [cs.CV]Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments
• [cs.CV]Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection
• [cs.CV]DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
• [cs.CV]Detection of Collision-Prone Vehicle Behavior at Intersections using Siamese Interaction LSTM
• [cs.CV]Efficient Differentiable Neural Architecture Search with Meta Kernels
• [cs.CV]End-to-end facial and physiological model for \Affective Computing and applications
• [cs.CV]Feature Losses for Adversarial Robustness
• [cs.CV]Flow-Distilled IP Two-Stream Networks for Compressed Video ActionRecognition
• [cs.CV]Forecasting Future Sequence of Actions to Complete an Activity
• [cs.CV]Grasping in the Wild:Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations
• [cs.CV]HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data
• [cs.CV]HalluciNet-ing Spatiotemporal Representations Using 2D-CNN
• [cs.CV]Learning Depth-Guided Convolutions for Monocular 3D Object Detection
• [cs.CV]Learning to Discriminate Information for Online Action Detection
• [cs.CV]Learning to generate new indoor scenes
• [cs.CV]Listen to Look: Action Recognition by Previewing Audio
• [cs.CV]Low-rank representations with incoherent dictionary for face recognition
• [cs.CV]MDFN: Multi-Scale Deep Feature Learning Network for Object Detection
• [cs.CV]Modular Multimodal Architecture for Document Classification
• [cs.CV]NeuRoRA: Neural Robust Rotation Averaging
• [cs.CV]Neural Point Cloud Rendering via Multi-Plane Projection
• [cs.CV]Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool
• [cs.CV]Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds
• [cs.CV]Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking in Multi-Camera Networks
• [cs.CV]SOLO: Segmenting Objects by Locations
• [cs.CV]STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection
• [cs.CV]Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark
• [cs.CV]SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery
• [cs.CV]SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching
• [cs.CV]To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions
• [cs.CV]Towards Latent Space Optimality for Auto-Encoder Based Generative Models
• [cs.CV]Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
• [cs.CY]Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
• [cs.CY]Roles for Computing in Social Change
• [cs.DB]SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence
• [cs.DC]Cross-Chain Payment Protocols with Success Guarantees
• [cs.DC]Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric
• [cs.DC]Using asynchronous simulation approach for interactive simulation
• [cs.ET]Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification
• [cs.HC]Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples
• [cs.HC]Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning
• [cs.HC]edBB: Biometrics and Behavior for Assessing Remote Education
• [cs.IR]Duet at TREC 2019 Deep Learning Track
• [cs.IR]Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results
• [cs.IR]The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
• [cs.IT]An Adaptive Bayesian Framework for Recovery of Sources with Structured Sparsity
• [cs.IT]Design Trade-offs for Decentralized Baseband Processing in Massive MU-MIMO Systems
• [cs.IT]Learning to Code: Coded Caching via Deep Reinforcement Learning
• [cs.IT]On the Capacity Regions of Cloud Radio Access Networks with Limited Orthogonal Fronthaul
• [cs.IT]On the Convex Properties of Wireless Power Transfer with Nonlinear Energy Harvesting
• [cs.IT]Revisiting zero-rate bounds on the reliability function of discrete memoryless channels
• [cs.IT]Throughput Maximization for Full-Duplex UAV Aided Small Cell Wireless Systems
• [cs.LG]A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
• [cs.LG]Accurate Entrance Position Detection Based on Wi-Fi and GPS Signals Using Machine Learning
• [cs.LG]Backprop Diffusion is Biologically Plausible
• [cs.LG]Deep Bayesian Reward Learning from Preferences
• [cs.LG]Deep Latent Factor Model for Collaborative Filtering
• [cs.LG]Deep symbolic regression: Recovering mathematical expressions from data via policy gradients
• [cs.LG]Depth-Width Trade-offs for ReLU Networks via Sharkovsky’s Theorem
• [cs.LG]Enhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer’s disease
• [cs.LG]Exact expressions for double descent and implicit regularization via surrogate random design
• [cs.LG]Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques
• [cs.LG]Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information
• [cs.LG]Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
• [cs.LG]Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data
• [cs.LG]Magnitude and Uncertainty Pruning Criterion for Neural Networks
• [cs.LG]Neural Network Based Explicit MPC for Chemical Reactor Control
• [cs.LG]No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features
• [cs.LG]On Certifying Robust Models by Polyhedral Envelope
• [cs.LG]Oversampling Log Messages Using a Sequence Generative Adversarial Network for Anomaly Detection and Classification
• [cs.LG]Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning
• [cs.LG]Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing
• [cs.LG]Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks
• [cs.LG]Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint
• [cs.LG]SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads
• [cs.LG]Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training
• [cs.LG]Transfer Learning-Based Outdoor Position Recovery with Telco Data
• [cs.LG]Transformed Subspace Clustering
• [cs.LG]Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
• [cs.LG]Winning the Lottery with Continuous Sparsification
• [cs.LG]libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications
• [cs.RO]AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
• [cs.RO]Assessing the Search and Rescue Domain as an Applied and Realistic Benchmark for Robotic Systems
• [cs.RO]Development of a Tendon Driven Variable Stiffness Continuum Robot with Layer Jamming
• [cs.RO]Measurement Scheduling for Cooperative Localization in Resource-constrained Conditions
• [cs.RO]Smart Cloud: Scalable Cloud Robotic Architecture for Web-powered Multi-Robot Applications
• [cs.RO]Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model
• [cs.SE]Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules
• [cs.SI]Driving The Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks
• [econ.EM]Adaptive Dynamic Model Averaging with an Application to House Price Forecasting
• [eess.AS]Quantifying the Chaos Level of Infants’ Environment via Unsupervised Learning
• [eess.IV]Calcaneus Radiograph Analysis System: Calcaneal Angles Measurement and Fracture Identification
• [eess.IV]DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images
• [eess.IV]Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data
• [eess.IV]Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images
• [eess.IV]Understanding 3D CNN Behavior for Alzheimer’s Disease Diagnosis from Brain PET Scan
• [eess.IV]WCE Polyp Detection with Triplet based Embeddings
• [eess.SP]DeepMUSIC: Direction Finding via Deep Learning
• [eess.SP]Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing
• [eess.SP]Error analysis of mixed THz0RF wireless systems
• [eess.SP]Inverse LDM’ and LU Factorizations of a Partitioned Matrix with the Square-root and Division Free Version for V-BLAST
• [eess.SP]Time Delay Estimation from Multiband Radio Channel Samples in Nonuniform Noise
• [eess.SY]Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint
• [math.CO]Infinite families of $2$-designs from a class of non-binary Kasami cyclic codes
• [math.NA]Time-parallel simulation of the Schrödinger Equation
• [math.OC]Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations
• [math.PR]Rates of convergence to the local time of Oscillating and Skew Brownian Motions
• [math.ST]Adaptive Manifold Clustering
• [math.ST]Classification under local differential privacy
• [math.ST]Testing and Estimating Change-Points in the Covariance Matrix of a High-Dimensional Time Series
• [nlin.AO]Explosive higher-order Kuramoto dynamics on simplicial complexes
• [physics.comp-ph]JAX, M.D.: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure Python
• [physics.data-an]The Probabilistic Backbone of Data-Driven Complex Networks: An example in Climate
• [quant-ph]Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm
• [stat.AP]Identification of causal intervention effects under contagion
• [stat.AP]Semiparametric Regression for Dual Population Mortality
• [stat.AP]Stylised Choropleth Maps for New Zealand Regions and District Health Boards
• [stat.CO]Optimizing and accelerating space-time Ripley’s K function based on Apache Spark for distributed spatiotemporal point pattern analysis
• [stat.ME]Controlling false discovery exceedance for heterogeneous tests
• [stat.ME]Generalised Network Autoregressive Processes and the GNAR package
• [stat.ME]Spatial hierarchical modeling of threshold exceedances using rate mixtures
• [stat.ME]Variable selection for transportability
• [stat.ME]What is the best predictor that you can compute in five minutes using a given Bayesian hierarchical model?
• [stat.ML]Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models
• [stat.ML]Histogram Transform Ensembles for Large-scale Regression
• [stat.ML]Privacy-preserving data sharing via probabilistic modelling
• [stat.ML]Statistically Robust Neural Network Classification
·····································
• [cs.AI]Novel Approach for Solving a Variant of Equal Flow Problem
Sasikanth Goteti, Swapnil Kumar
http://arxiv.org/abs/1912.04034v2
• [cs.AI]OpenBioLink: A resource and benchmarking framework for large-scale biomedical link prediction
Anna Breit, Asan Agibetov, Matthias Samwald
http://arxiv.org/abs/1912.04616v1
• [cs.AI]Qualitative Numeric Planning: Reductions and Complexity
Blai Bonet, Hector Geffner
http://arxiv.org/abs/1912.04816v1
• [cs.AI]Toward XAI for Intelligent Tutoring Systems: A Case Study
Vanessa Putnam, Lea Riegel, Cristina Conati
http://arxiv.org/abs/1912.04464v1
• [cs.CL]A Novel Topology for End-to-end Temporal Classification and Segmentation with Recurrent Neural Network
Taiyang Zhao
http://arxiv.org/abs/1912.04784v1
• [cs.CL]Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic
Seid Muhie Yimam, Abinew Ali Ayele, Chris Biemann
http://arxiv.org/abs/1912.04419v1
• [cs.CL]Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation
Mitchell A. Gordon, Kevin Duh
http://arxiv.org/abs/1912.03334v1
• [cs.CL]Fraud detection in telephone conversations for financial services using linguistic features
Nikesh Bajaj, Tracy Goodluck Constance, Marvin Rajwadi, Julie Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings, Chris Woodruff, James Laird
http://arxiv.org/abs/1912.04748v1
• [cs.CL]GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies
Marta R. Costa-jussà, Pau Li Lin, Cristina España-Bonet
http://arxiv.org/abs/1912.04778v1
• [cs.CL]Homograph Disambiguation Through Selective Diacritic Restoration
Sawsan Alqahtani, Hanan Aldarmaki, Mona Diab
http://arxiv.org/abs/1912.04479v1
• [cs.CL]How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning
Lu Li, Zhongheng He, Xiangyang Zhou, Dianhai Yu
http://arxiv.org/abs/1912.04664v1
• [cs.CL]Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset
Gustavo Penha, Alexandru Balan, Claudia Hauff
http://arxiv.org/abs/1912.04639v1
• [cs.CR]Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing
Anudit Nagar
http://arxiv.org/abs/1912.04859v1
• [cs.CV]3D Particle Positions from Computer Stereo Vision in PK-4
Daniel P. Mohr, Peter Huber, Mierk Schwabe, Christina A. Knapek
http://arxiv.org/abs/1912.04333v1
• [cs.CV]3D-GMNet: Learning to Estimate 3D Shape from A Single Image As A Gaussian Mixture
Kohei Yamashita, Shohei Nobuhara, Ko Nishino
http://arxiv.org/abs/1912.04663v1
• [cs.CV]A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
Jinjin Zhang
http://arxiv.org/abs/1912.04561v1
• [cs.CV]Appending Adversarial Frames for Universal Video Attack
Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Qi Tian
http://arxiv.org/abs/1912.04538v1
• [cs.CV]Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability
Shuaicheng Liu, Zehao Zhang, Kai Song, Bing Zeng
http://arxiv.org/abs/1912.04518v1
• [cs.CV]Basis Prediction Networks for Effective Burst Denoising with Large Kernels
Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti
http://arxiv.org/abs/1912.04421v1
• [cs.CV]Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints
Pengfei Li, Weichao Qiu, Michael Peven, Gregory D. Hager, Alan L. Yuille
http://arxiv.org/abs/1912.04363v1
• [cs.CV]Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation
Gedas Bertasius, Lorenzo Torresani
http://arxiv.org/abs/1912.04573v1
• [cs.CV]Comprehensive Soccer Video Understanding: Towards Human-comparable Video Understanding System in Constrained Environment
YudongJiang, KaixuCui, LeileiChen, CanjinWang, Chen Wang, Hui Liu, ChangliangXu
http://arxiv.org/abs/1912.04465v1
• [cs.CV]Context-Dependent Models for Predicting and Characterizing Facial Expressiveness
Victoria Lin, Jeffrey M. Girard, Louis-Philippe Morency
http://arxiv.org/abs/1912.04523v1
• [cs.CV]DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
Yingqian Wang, Tianhao Wu, Jungang Yang, Longguang Wang, Wei An, Yulan Guo
http://arxiv.org/abs/1912.04459v1
• [cs.CV]Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments
Mert Kayhan, Okan Köpüklü, Mhd Hasan Sarhan, Mehmet Yigitsoy, Abouzar Eslami, Gerhard Rigoll
http://arxiv.org/abs/1912.04618v1
• [cs.CV]Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection
Albert Akhriev, Jakub Marecek
http://arxiv.org/abs/1912.04418v1
• [cs.CV]DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
Aljaž Božič, Michael Zollhöfer, Christian Theobalt, Matthias Nießner
http://arxiv.org/abs/1912.04302v1
• [cs.CV]Detection of Collision-Prone Vehicle Behavior at Intersections using Siamese Interaction LSTM
Debaditya Roy, Tetsuhiro Ishizaka, Krishna Mohan C., Atsushi Fukuda
http://arxiv.org/abs/1912.04801v1
• [cs.CV]Efficient Differentiable Neural Architecture Search with Meta Kernels
Shoufa Chen, Yunpeng Chen, Shuicheng Yan, Jiashi Feng
http://arxiv.org/abs/1912.04749v1
• [cs.CV]End-to-end facial and physiological model for \Affective Computing and applications
Joaquim Comas, Decky Aspandi, Xavier Binefa
http://arxiv.org/abs/1912.04711v1
• [cs.CV]Feature Losses for Adversarial Robustness
Kirthi Shankar Sivamani
http://arxiv.org/abs/1912.04497v1
• [cs.CV]Flow-Distilled IP Two-Stream Networks for Compressed Video ActionRecognition
Shiyuan Huang, Xudong Lin, Svebor Karaman, Shih-Fu Chang
http://arxiv.org/abs/1912.04462v1
• [cs.CV]Forecasting Future Sequence of Actions to Complete an Activity
Yan Bin Ng, Basura Fernando
http://arxiv.org/abs/1912.04608v1
• [cs.CV]Grasping in the Wild:Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations
Shuran Song, Andy Zeng, Johnny Lee, Thomas Funkhouser
http://arxiv.org/abs/1912.04344v1
• [cs.CV]HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data
Xiaying Wang, Lukas Cavigelli, Manuel Eggimann, Michele Magno, Luca Benini
http://arxiv.org/abs/1912.04441v1
• [cs.CV]HalluciNet-ing Spatiotemporal Representations Using 2D-CNN
Paritosh Parmar, Brendan Morris
http://arxiv.org/abs/1912.04430v1
• [cs.CV]Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo
http://arxiv.org/abs/1912.04799v1
• [cs.CV]Learning to Discriminate Information for Online Action Detection
Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim
http://arxiv.org/abs/1912.04461v1
• [cs.CV]Learning to generate new indoor scenes
Pulak Purkait, Christopher Zach, Ian Reid
http://arxiv.org/abs/1912.04554v1
• [cs.CV]Listen to Look: Action Recognition by Previewing Audio
Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani
http://arxiv.org/abs/1912.04487v1
• [cs.CV]Low-rank representations with incoherent dictionary for face recognition
Pei Xie, He-Feng Yin, Xiao-Jun Wu
http://arxiv.org/abs/1912.04478v1
• [cs.CV]MDFN: Multi-Scale Deep Feature Learning Network for Object Detection
Wenchi Ma, Yuanwei Wu, Feng Cen, Guanghui Wang
http://arxiv.org/abs/1912.04514v1
• [cs.CV]Modular Multimodal Architecture for Document Classification
Tyler Dauphinee, Nikunj Patel, Mohammad Rashidi
http://arxiv.org/abs/1912.04376v1
• [cs.CV]NeuRoRA: Neural Robust Rotation Averaging
Pulak Purkait, Tat-Jun Chin, Ian Reid
http://arxiv.org/abs/1912.04485v1
• [cs.CV]Neural Point Cloud Rendering via Multi-Plane Projection
Peng Dai, Yinda Zhang, Zhuwen Li, Shuaicheng Liu, Bing Zeng
http://arxiv.org/abs/1912.04645v1
• [cs.CV]Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool
Konstantinos Rematas, Vittorio Ferrari
http://arxiv.org/abs/1912.04591v1
• [cs.CV]Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds
Yonglin Tian, Lichao Huang, Xuesong Li, Yuan Li, Zilei Wang, Fei-Yue Wang
http://arxiv.org/abs/1912.04775v1
• [cs.CV]Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking in Multi-Camera Networks
Abhijit Suprem, Rodrigo Alves Lima, Bruno Padilha, Joao Eduardo Ferreira, Calton Pu
http://arxiv.org/abs/1912.04423v1
• [cs.CV]SOLO: Segmenting Objects by Locations
Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li
http://arxiv.org/abs/1912.04488v1
• [cs.CV]STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection
Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara
http://arxiv.org/abs/1912.04316v1
• [cs.CV]Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, YuZhang, Jon Shlens, Zhifeng Chen, Dragomir Anguelov
http://arxiv.org/abs/1912.04838v1
• [cs.CV]SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery
Xin Hou, Biao Wang, Wanqi Hu, Lei Yin, Haishan Wu
http://arxiv.org/abs/1912.03685v2
• [cs.CV]SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching
Grzegorz Kurzejamski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Simon Lynen, Tomasz Trzcinski
http://arxiv.org/abs/1912.04627v1
• [cs.CV]To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions
Junjie Zhang, Lingqiao Liu, Peng Wang, Chunhua Shen
http://arxiv.org/abs/1912.04486v1
• [cs.CV]Towards Latent Space Optimality for Auto-Encoder Based Generative Models
Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh AP
http://arxiv.org/abs/1912.04564v1
• [cs.CV]Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
Alexander Mai, Joseph Menke, Allen Yang
http://arxiv.org/abs/1912.04384v1
• [cs.CY]Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke
http://arxiv.org/abs/1912.04255v2
• [cs.CY]Roles for Computing in Social Change
Rediet Abebe, Solon Barocas, Jon Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson
http://arxiv.org/abs/1912.04883v1
• [cs.DB]SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence
Jonas Traub, Julius Hülsmann, Sebastian Breß, Tilmann Rabl, Volker Markl
http://arxiv.org/abs/1912.04648v1
• [cs.DC]Cross-Chain Payment Protocols with Success Guarantees
Rob van Glabbeek, Vincent Gramoli, Pierre Tholoniat
http://arxiv.org/abs/1912.04513v1
• [cs.DC]Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric
Ence Zhou, Haoli Sun, Bingfeng Pi, Jun Sun, Kazuhiro Yamashita, Yoshihide Nomura
http://arxiv.org/abs/1912.04526v1
• [cs.DC]Using asynchronous simulation approach for interactive simulation
Mengchen Wang, Nicolas Ferey, Patrick Bourdot, Frederic Magoules
http://arxiv.org/abs/1912.04352v1
• [cs.ET]Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification
Farid Kenarangi, Xuan Hu, Yihan Liu, Jean Anne C. Incorvia, Joseph S. Friedman, Inna Partin-Vaisband
http://arxiv.org/abs/1912.04068v1
• [cs.HC]Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples
Angie Boggust, Brandon Carter, Arvind Satyanarayan
http://arxiv.org/abs/1912.04853v1
• [cs.HC]Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning
Chris Xiaoxuan Lu, Bowen Du, Hongkai Wen, Sen Wang, Andrew Markham, Ivan Martinovic, Yiran Shen, Niki Trigoni
http://arxiv.org/abs/1912.04836v1
• [cs.HC]edBB: Biometrics and Behavior for Assessing Remote Education
Javier Hernandez-Ortega, Roberto Daza, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia
http://arxiv.org/abs/1912.04786v1
• [cs.IR]Duet at TREC 2019 Deep Learning Track
Bhaskar Mitra, Nick Craswell
http://arxiv.org/abs/1912.04471v1
• [cs.IR]Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
http://arxiv.org/abs/1912.04713v1
• [cs.IR]The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
Kowald Dominik, Schedl Markus, Lex Elisabeth
http://arxiv.org/abs/1912.04696v1
• [cs.IT]An Adaptive Bayesian Framework for Recovery of Sources with Structured Sparsity
Ali Bereyhi, Ralf R. Müller
http://arxiv.org/abs/1912.04572v1
• [cs.IT]Design Trade-offs for Decentralized Baseband Processing in Massive MU-MIMO Systems
Kaipeng Li, James McNaney, Chance Tarver, Oscar Castañeda, Charles Jeon, Joseph R. Cavallaro, Christoph Studer
http://arxiv.org/abs/1912.04437v1
• [cs.IT]Learning to Code: Coded Caching via Deep Reinforcement Learning
Navid Naderializadeh, Seyed Mohammad Asghari
http://arxiv.org/abs/1912.04321v1
• [cs.IT]On the Capacity Regions of Cloud Radio Access Networks with Limited Orthogonal Fronthaul
Shouvik Ganguly, Seung-Eun Hong, Young-Han Kim
http://arxiv.org/abs/1912.04483v1
• [cs.IT]On the Convex Properties of Wireless Power Transfer with Nonlinear Energy Harvesting
Yulin Hu, Xiaopeng Yuan, Tianyu Yang, Bruno Clerckx, Anke Schmeink
http://arxiv.org/abs/1912.04785v1
• [cs.IT]Revisiting zero-rate bounds on the reliability function of discrete memoryless channels
Marco Bondaschi, Marco Dalai
http://arxiv.org/abs/1912.04411v1
• [cs.IT]Throughput Maximization for Full-Duplex UAV Aided Small Cell Wireless Systems
Meng Hua, Luxi Yang, Cunhua Pan, Arumugam Nallanathan
http://arxiv.org/abs/1912.04532v1
• [cs.LG]A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
Pan Xu, Quanquan Gu
http://arxiv.org/abs/1912.04511v1
• [cs.LG]Accurate Entrance Position Detection Based on Wi-Fi and GPS Signals Using Machine Learning
Ahmad Abadleh
http://arxiv.org/abs/1912.04556v1
• [cs.LG]Backprop Diffusion is Biologically Plausible
Alessandro Betti, Marco Gori
http://arxiv.org/abs/1912.04635v1
• [cs.LG]Deep Bayesian Reward Learning from Preferences
Daniel S. Brown, Scott Niekum
http://arxiv.org/abs/1912.04472v1
• [cs.LG]Deep Latent Factor Model for Collaborative Filtering
Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux, Angshul Majumdar
http://arxiv.org/abs/1912.04754v1
• [cs.LG]Deep symbolic regression: Recovering mathematical expressions from data via policy gradients
Brenden K. Petersen
http://arxiv.org/abs/1912.04871v1
• [cs.LG]Depth-Width Trade-offs for ReLU Networks via Sharkovsky’s Theorem
Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang
http://arxiv.org/abs/1912.04378v1
• [cs.LG]Enhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer’s disease
Rishu Garg, Rekh Ram Janghel, Yogesh Rathore
http://arxiv.org/abs/1912.04453v1
• [cs.LG]Exact expressions for double descent and implicit regularization via surrogate random design
Michał Dereziński, Feynman Liang, Michael W. Mahoney
http://arxiv.org/abs/1912.04533v1
• [cs.LG]Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques
Ibrahim Yilmaz, Rahat Masum
http://arxiv.org/abs/1912.04549v1
• [cs.LG]Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information
Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tino, Barbara Hammer
http://arxiv.org/abs/1912.04832v1
• [cs.LG]Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
Samuel Kim, Peter Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Ceperic, Marin Soljacic
http://arxiv.org/abs/1912.04825v1
• [cs.LG]Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data
Francesca Baldini, Animashree Anandkumar, Richard M. Murray
http://arxiv.org/abs/1912.04527v1
• [cs.LG]Magnitude and Uncertainty Pruning Criterion for Neural Networks
Vinnie Ko, Stefan Oehmcke, Fabian Gieseke
http://arxiv.org/abs/1912.04845v1
• [cs.LG]Neural Network Based Explicit MPC for Chemical Reactor Control
Karol Kiš, Martin Klaučo
http://arxiv.org/abs/1912.04684v1
• [cs.LG]No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features
Kan Li, Jose C. Principe
http://arxiv.org/abs/1912.04530v1
• [cs.LG]On Certifying Robust Models by Polyhedral Envelope
Chen Liu, Mathieu Salzmann, Sabine Süsstrunk
http://arxiv.org/abs/1912.04792v1
• [cs.LG]Oversampling Log Messages Using a Sequence Generative Adversarial Network for Anomaly Detection and Classification
Amir Farzad, T. Aaron Gulliver
http://arxiv.org/abs/1912.04747v1
• [cs.LG]Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning
Vanika Singhal, Angshul Majumdar
http://arxiv.org/abs/1912.04690v1
• [cs.LG]Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing
Mohammed Amer, Tomás Maul
http://arxiv.org/abs/1912.04508v1
• [cs.LG]Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks
Stephen Casper, Xavier Boix, Vanessa D’Amario, Ling Guo, Kasper Vinken, Gabriel Kreiman
http://arxiv.org/abs/1912.04783v1
• [cs.LG]Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint
Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
http://arxiv.org/abs/1912.04862v1
• [cs.LG]SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads
Sam, Xi, Yuan Yao, Kshitij Bhardwaj, Paul Whatmough, Gu-Yeon Wei, David Brooks
http://arxiv.org/abs/1912.04481v1
• [cs.LG]Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training
Harrison Nguyen, Simon Luo, Fabio Ramos
http://arxiv.org/abs/1912.04391v1
• [cs.LG]Transfer Learning-Based Outdoor Position Recovery with Telco Data
Yige Zhang, Aaron Yi Ding, Jorg Ott, Mingxuan Yuan, Jia Zeng, Kun Zhang, Weixiong Rao
http://arxiv.org/abs/1912.04521v1
• [cs.LG]Transformed Subspace Clustering
Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux
http://arxiv.org/abs/1912.04734v1
• [cs.LG]Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
http://arxiv.org/abs/1912.04695v1
• [cs.LG]Winning the Lottery with Continuous Sparsification
Pedro Savarese, Hugo Silva, Michael Maire
http://arxiv.org/abs/1912.04427v1
• [cs.LG]libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications
Jocelyn Sunseri, David Ryan Koes
http://arxiv.org/abs/1912.04822v1
• [cs.RO]AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine
http://arxiv.org/abs/1912.04443v1
• [cs.RO]Assessing the Search and Rescue Domain as an Applied and Realistic Benchmark for Robotic Systems
Frank E. Schneider, Dennis Wildermuth
http://arxiv.org/abs/1912.04693v1
• [cs.RO]Development of a Tendon Driven Variable Stiffness Continuum Robot with Layer Jamming
Zhong Ouyang
http://arxiv.org/abs/1912.04473v1
• [cs.RO]Measurement Scheduling for Cooperative Localization in Resource-constrained Conditions
Qi Yan, Li Jiang, Solmaz Kia
http://arxiv.org/abs/1912.04709v1
• [cs.RO]Smart Cloud: Scalable Cloud Robotic Architecture for Web-powered Multi-Robot Applications
Manoj Penmetcha, Shyam Sundar Kannan, Byung-Cheol Min
http://arxiv.org/abs/1912.02927v2
• [cs.RO]Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model
Takuya Ohashi, Yosuke Ikegami, Kazuki Yamamoto, Wataru Takano, Yoshihiko Nakamura
http://arxiv.org/abs/1912.03880v2
• [cs.SE]Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules
Yinxing Xue, Jiaming Ye, Mingliang Ma, Lei Ma, Yi Li, Haijun Wang, Yun Lin, Tianyong Peng, Yang Liu
http://arxiv.org/abs/1912.04466v1
• [cs.SI]Driving The Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks
Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla, Shwetanshu Singh, Karandeep Juneja, Ponnurangam Kumaraguru
http://arxiv.org/abs/1912.04579v1
• [econ.EM]Adaptive Dynamic Model Averaging with an Application to House Price Forecasting
Alisa Yusupova, Nicos G. Pavlidis, Efthymios G. Pavlidis
http://arxiv.org/abs/1912.04661v1
• [eess.AS]Quantifying the Chaos Level of Infants’ Environment via Unsupervised Learning
Priyanka Khante, Mai Lee Chang, Domingo Martinez, Kaya de Barbaro, Edison Thomaz
http://arxiv.org/abs/1912.04844v1
• [eess.IV]Calcaneus Radiograph Analysis System: Calcaneal Angles Measurement and Fracture Identification
Jia Guo, Shumeng Wang, Junxian Chen, Huiqi Li
http://arxiv.org/abs/1912.04536v1
• [eess.IV]DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images
Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao
http://arxiv.org/abs/1912.04670v1
• [eess.IV]Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data
Huidong Xie, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang
http://arxiv.org/abs/1912.04278v1
• [eess.IV]Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images
Mohammad Ibrahim Sarker, Hyongsuk Kim, Denis Tarasov, Dinar Akhmetzanov
http://arxiv.org/abs/1912.04619v1
• [eess.IV]Understanding 3D CNN Behavior for Alzheimer’s Disease Diagnosis from Brain PET Scan
Jyoti Islam, Yanqing Zhang
http://arxiv.org/abs/1912.04563v1
• [eess.IV]WCE Polyp Detection with Triplet based Embeddings
Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí
http://arxiv.org/abs/1912.04643v1
• [eess.SP]DeepMUSIC: Direction Finding via Deep Learning
Ahmet M. Elbir
http://arxiv.org/abs/1912.04357v1
• [eess.SP]Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing
Marat Bogdanov, Salim Baigildin, Aygul Fabarisova, Konstantin Ushenin, Olga Solovyova
http://arxiv.org/abs/1912.04672v1
• [eess.SP]Error analysis of mixed THz0RF wireless systems
Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou
http://arxiv.org/abs/1912.04476v1
• [eess.SP]Inverse LDM’ and LU Factorizations of a Partitioned Matrix with the Square-root and Division Free Version for V-BLAST
Hufei Zhu
http://arxiv.org/abs/1912.04475v1
• [eess.SP]Time Delay Estimation from Multiband Radio Channel Samples in Nonuniform Noise
Tarik Kazaz, Gerard J. M. Janssen, Alle-Jan van der Veen
http://arxiv.org/abs/1912.04614v1
• [eess.SY]Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint
Monimoy Bujarbaruah, Charlott Vallon
http://arxiv.org/abs/1912.04408v1
• [math.CO]Infinite families of $2$-designs from a class of non-binary Kasami cyclic codes
Rong Wang, Xiaoni Du, Cuiling Fan
http://arxiv.org/abs/1912.04745v1
• [math.NA]Time-parallel simulation of the Schrödinger Equation
Hannah Rittich, Robert Speck
http://arxiv.org/abs/1912.03312v1
• [math.OC]Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations
Prashant Khanduri, Saikiran Bulusu, Pranay Sharma, Pramod K. Varshney
http://arxiv.org/abs/1912.04531v1
• [math.PR]Rates of convergence to the local time of Oscillating and Skew Brownian Motions
Sara Mazzonetto
http://arxiv.org/abs/1912.04858v1
• [math.ST]Adaptive Manifold Clustering
Franz Besold, Vladimir Spokoiny
http://arxiv.org/abs/1912.04869v1
• [math.ST]Classification under local differential privacy
Thomas Berrett, Cristina Butucea
http://arxiv.org/abs/1912.04629v1
• [math.ST]Testing and Estimating Change-Points in the Covariance Matrix of a High-Dimensional Time Series
Ansgar Steland
http://arxiv.org/abs/1912.04677v1
• [nlin.AO]Explosive higher-order Kuramoto dynamics on simplicial complexes
Ana P. Millán, Joaquín J. Torres, Ginestra Bianconi
http://arxiv.org/abs/1912.04405v1
• [physics.comp-ph]JAX, M.D.: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure Python
Samuel S. Schoenholz, Ekin D. Cubuk
http://arxiv.org/abs/1912.04232v1
• [physics.data-an]The Probabilistic Backbone of Data-Driven Complex Networks: An example in Climate
Catharina Graafland, José M. Gutiérrez, Juan M. López, Diego Pazó, Miguel A. Rodríguez
http://arxiv.org/abs/1912.03758v1
• [quant-ph]Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm
Murphy Yuezhen Niu, Vadim Smelyanskyi, Paul Klimov, Sergio Boixo, Rami Barends, Julian Kelly, Yu Chen, Kunal Arya, Brian Burkett, Dave Bacon, Zijun Chen, Ben Chiaro, Roberto Collins, Andrew Dunsworth, Brooks Foxen, Austin Fowler, Craig Gidney, Marissa Giustina, Rob Graff, Trent Huang, Evan Jeffrey, David Landhuis, Erik Lucero, Anthony Megrant, Josh Mutus, Xiao Mi, Ofer Naaman, Matthew Neeley, Charles Neill, Chris Quintana, Pedram Roushan, John M. Martinis, Hartmut Neven
http://arxiv.org/abs/1912.04368v1
• [stat.AP]Identification of causal intervention effects under contagion
Xiaoxuan Cai, Wen Wei Loh, Forrest W. Crawford
http://arxiv.org/abs/1912.04151v2
• [stat.AP]Semiparametric Regression for Dual Population Mortality
Gary Venter, Şule Şahin
http://arxiv.org/abs/1912.04406v1
• [stat.AP]Stylised Choropleth Maps for New Zealand Regions and District Health Boards
Thomas Lumley
http://arxiv.org/abs/1912.04435v1
• [stat.CO]Optimizing and accelerating space-time Ripley’s K function based on Apache Spark for distributed spatiotemporal point pattern analysis
Yuan Wang, Zhipeng Gui, Huayi Wu, Dehua Peng, Jinghang Wu, Zousen Cui
http://arxiv.org/abs/1912.04753v1
• [stat.ME]Controlling false discovery exceedance for heterogeneous tests
Sebastian Döhler, Etienne Roquain
http://arxiv.org/abs/1912.04607v1
• [stat.ME]Generalised Network Autoregressive Processes and the GNAR package
Marina Knight, Kathryn Leeming, Guy Nason, Matthew Nunes
http://arxiv.org/abs/1912.04758v1
• [stat.ME]Spatial hierarchical modeling of threshold exceedances using rate mixtures
Rishikesh Yadav, Raphaël Huser, Thomas Opitz
http://arxiv.org/abs/1912.04571v1
• [stat.ME]Variable selection for transportability
Megha L. Mehrotra, M. Maria Glymour, Elvin Geng, Daniel Westreich, David V. Glidden
http://arxiv.org/abs/1912.04432v1
• [stat.ME]What is the best predictor that you can compute in five minutes using a given Bayesian hierarchical model?
Jonathan R. Bradley
http://arxiv.org/abs/1912.04542v1
• [stat.ML]Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models
Burim Ramosaj, Markus Pauly
http://arxiv.org/abs/1912.03306v1
• [stat.ML]Histogram Transform Ensembles for Large-scale Regression
Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu, Hongwei Wen
http://arxiv.org/abs/1912.04738v1
• [stat.ML]Privacy-preserving data sharing via probabilistic modelling
Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Samuel Kaski, Antti Honkela
http://arxiv.org/abs/1912.04439v1
• [stat.ML]Statistically Robust Neural Network Classification
Benjie Wang, Stefan Webb, Tom Rainforth
http://arxiv.org/abs/1912.04884v1