cond-mat.dis-nn - 无序系统与神经网络
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.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 math.CT - 范畴论 math.OC - 优化与控制 math.ST - 统计理论 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Minimal model of permutation symmetry in unsupervised learning
• [cs.AI]Anytime Integrated Task and Motion Policies for Stochastic Environments
• [cs.AI]Efficiently Checking Actual Causality with SAT Solving
• [cs.AI]Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations
• [cs.AI]Online Causal Structure Learning in the Presence of Latent Variables
• [cs.AI]Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud
• [cs.AI]Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation
• [cs.CL]A self-attention based deep learning method for lesion attribute detection from CT reports
• [cs.CL]Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors
• [cs.CL]Don’t Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
• [cs.CL]English Broadcast News Speech Recognition by Humans and Machines
• [cs.CL]Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage
• [cs.CL]Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators
• [cs.CL]Very Deep Self-Attention Networks for End-to-End Speech Recognition
• [cs.CR]Agent-Based Simulations of Blockchain protocols illustrated via Kadena’s Chainweb
• [cs.CR]An Argumentation-Based Approach to Assist in the Investigation and Attribution of Cyber-Attacks
• [cs.CV]A Study on Action Detection in the Wild
• [cs.CV]A neural network based on SPD manifold learning for skeleton-based hand gesture recognition
• [cs.CV]Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction
• [cs.CV]Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning
• [cs.CV]Comparative evaluation of 2D feature correspondence selection algorithms
• [cs.CV]Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
• [cs.CV]Cross-Modal Message Passing for Two-stream Fusion
• [cs.CV]Curvature: A signature for Action Recognition in Video Sequences
• [cs.CV]Deep Learning Based Robot for Automatically Picking up Garbage on the Grass
• [cs.CV]Deep Learning-based Face Pose Recovery
• [cs.CV]Detecting Reflections by Combining Semantic and Instance Segmentation
• [cs.CV]DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
• [cs.CV]Early Action Prediction with Generative Adversarial Networks
• [cs.CV]Facial Expressions Analysis Under Occlusions Based on Specificities of Facial Motion Propagation
• [cs.CV]GaborNet: Gabor filters with learnable parameters in deep convolutional neural networks
• [cs.CV]Handwritten Chinese Font Generation with Collaborative Stroke Refinement
• [cs.CV]Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
• [cs.CV]Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
• [cs.CV]Learning to Find Common Objects Across Image Collections
• [cs.CV]Memory-Augmented Temporal Dynamic Learning for Action Recognition
• [cs.CV]Non-Rigid Structure-From-Motion by Rank-One Basis Shapes
• [cs.CV]Object Contour and Edge Detection with RefineContourNet
• [cs.CV]PR Product: A Substitute for Inner Product in Neural Networks
• [cs.CV]PYRO-NN: Python Reconstruction Operators in Neural Networks
• [cs.CV]Segmentation is All You Need
• [cs.CV]Structured Prediction using cGANs with Fusion Discriminator
• [cs.CV]SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction
• [cs.CV]Surprising Effectiveness of Few-Image Unsupervised Feature Learning
• [cs.CV]The Level Weighted Structural Similarity Loss: A Step Away from the MSE
• [cs.CV]The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
• [cs.CV]Using cameras for precise measurement of two-dimensional plant features
• [cs.CV]Virtual-Blind-Road Following Based Wearable Navigation Device for Blind People
• [cs.CV]Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People
• [cs.CY]Different Stages of Wearable Health Tracking Adoption & Abandonment: A Survey Study and Analysis
• [cs.CY]On Social Machines for Algorithmic Regulation
• [cs.CY]The Virtual Machinery Workshop: an Immersive 360 degree Web-Based Vocational Education Learning
• [cs.DB]Learning Restricted Regular Expressions with Interleaving
• [cs.DB]Supporting Video Queries on Zero-Streaming Cameras
• [cs.DC]Is Stellar As Secure As You Think?
• [cs.DC]Please, do not decentralize the Internet with (permissionless) blockchains!
• [cs.GR]Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation
• [cs.HC]Coevo: a collaborative design platform with artificial agents
• [cs.HC]You can’t see what you can’t see: Experimental evidence for how much relevant information may be missed due to Google’s Web search personalisation
• [cs.IR]Collaborative Filtering via High-Dimensional Regression
• [cs.IR]Effective and Efficient Indexing in Cross-Modal Hashing-Based Datasets
• [cs.IR]Learning Image Information for eCommerce Queries
• [cs.IR]On the Effect of Low-Frequency Terms on Neural-IR Models
• [cs.IR]Sentiment Classification using N-gram IDF and Automated Machine Learning
• [cs.IT]A Low-Complexity Antenna-Layout-Aware Spatial Covariance Matrix Estimation Method
• [cs.IT]Age-Optimal Transmission of Rateless Codes in an Erasure Channel
• [cs.IT]Design of Protograph Codes for Additive White Symmetric Alpha-Stable Noise Channels
• [cs.IT]Gradient Coding Based on Block Designs for Mitigating Adversarial Stragglers
• [cs.IT]Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation
• [cs.IT]Information geometry and asymptotic geodesics on the space of normal distributions
• [cs.IT]On the 2-adic complexity of a class of binary sequences of period $4p$ with optimal autocorrelation magnitude
• [cs.IT]On the Construction of $G_N$-coset Codes for Parallel Decoding
• [cs.IT]Online User Scheduling and Resource Allocation for Mobile-Edge Computing Systems
• [cs.IT]Over-the-Air Computation via Intelligent Reflecting Surfaces
• [cs.IT]Physical Layer Performance Evaluation of Wireless Infrared-based LiFi Uplink
• [cs.IT]Polar Codes for the Deletion Channel: Weak and Strong Polarization
• [cs.IT]Realizing Multi-Point Vehicular Positioning via Millimeter-wave Transmission
• [cs.LG]A General Spatio-Temporal Clustering-Based Non-local Formulation for Multiscale Modeling of Compartmentalized Reservoirs
• [cs.LG]A scalable saliency-based Feature selection method with instance level information
• [cs.LG]A supervised-learning-based strategy for optimal demand response of an HVAC System
• [cs.LG]Advancing GraphSAGE with A Data-Driven Node Sampling
• [cs.LG]Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data
• [cs.LG]Adversarial Training and Robustness for Multiple Perturbations
• [cs.LG]An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks
• [cs.LG]AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications
• [cs.LG]Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models
• [cs.LG]Categorical Feature Compression via Submodular Optimization
• [cs.LG]Challenges of Real-World Reinforcement Learning
• [cs.LG]Clustering Optimization: Finding the Number and Centroids of Clusters by a Fourier-based Algorithm
• [cs.LG]Curriculum Learning in Deep Neural Networks for Financial Forecasting
• [cs.LG]DAC: The Double Actor-Critic Architecture for Learning Options
• [cs.LG]Deep Spectral Clustering using Dual Autoencoder Network
• [cs.LG]Detecting Adversarial Examples through Nonlinear Dimensionality Reduction
• [cs.LG]Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents
• [cs.LG]Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine
• [cs.LG]Factor Analysis in Fault Diagnostics Using Random Forest
• [cs.LG]Finding Invariants in Deep Neural Networks
• [cs.LG]Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning
• [cs.LG]Graph Convolutional Networks with EigenPooling
• [cs.LG]Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks
• [cs.LG]Improving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode
• [cs.LG]Incorporating Symbolic Sequential Modeling for Speech Enhancement
• [cs.LG]Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator
• [cs.LG]Learning Fair Representations via an Adversarial Framework
• [cs.LG]Model Comparison for Semantic Grouping
• [cs.LG]Multimodal Classification of Urban Micro-Events
• [cs.LG]New optimization algorithms for neural network training using operator splitting techniques
• [cs.LG]Nonparametric feature extraction based on Minimax distance
• [cs.LG]Recurrent Neural Networks in the Eye of Differential Equations
• [cs.LG]Risk-Averse Explore-Then-Commit Algorithms for Finite-Time Bandits
• [cs.LG]Sequence to sequence deep learning models for solar irradiation forecasting
• [cs.LG]Test Selection for Deep Learning Systems
• [cs.LG]Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies
• [cs.LG]Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
• [cs.LG]Why should you trust my interpretation? Understanding uncertainty in LIME predictions
• [cs.NE]Survey of Dropout Methods for Deep Neural Networks
• [cs.NI]A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks
• [cs.NI]Elastic-TCP: Flexible Congestion Control Algorithm to Adapt for High-BDP Networks
• [cs.RO]A novel geometrically inspired polynomial kernel for robot inverse dynamics
• [cs.RO]Cooperative Localization under Limited Connectivity
• [cs.RO]Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning
• [cs.RO]Frontal Plane Bipedal Zero Dynamics Control
• [cs.RO]Incrementally Learned Mixture Models for GNSS Localization
• [cs.RO]Loop-Closure Detection Based on 3D Point Cloud Learning for Self-Driving Industry Vehicles
• [cs.SD]Performing Structured Improvisations with pre-trained Deep Learning Models
• [cs.SI]Computational Models for Commercial Advertisements in Social Networks
• [cs.SI]StartupBR: Higher Education’s Influence on Social Networks and Entrepreneurship in Brazil
• [cs.SI]The Role of User Profile for Fake News Detection
• [cs.SI]Triangle Preferential Attachment Has Power-law Degrees and Eigenvalues; Eigenvalues Are More Stable to Network Sampling
• [econ.EM]A Factor-Augmented Markov Switching (FAMS) Model
• [eess.IV]CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation
• [eess.IV]Country-wide high-resolution vegetation height mapping with Sentinel-2
• [eess.IV]Optimal Clustering Framework for Hyperspectral Band Selection
• [math.CT]Computational Petri Nets: Adjunctions Considered Harmful
• [math.OC]Restricted Boltzmann Machine Assignment Algorithm: Application to solve many-to-one matching problems on weighted bipartite graph
• [math.ST]Asymptotic Distribution of the Score Test for Detecting Marks in Hawkes Processes
• [math.ST]Consistency of least squares estimation to the parameter for stochastic differential equations under distribution uncertainty
• [math.ST]Convergence rates for ordinal embedding
• [math.ST]Estimating Proportion of True Null Hypotheses based on Sum of p-values and application to microarrays
• [math.ST]Exact Testing of Many Moment Inequalities Against Multiple Violations
• [math.ST]Extreme Nonlinear Correlation for Multiple Random Variables and Stochastic Processes with Applications to Additive Models
• [math.ST]Minimax semi-supervised confidence sets for multi-class classification
• [math.ST]Ready-to-Use Unbiased Estimators for Multivariate Cumulants Including One That Outperforms $\overline{x^3}$
• [math.ST]Schwartz type model selection for ergodic stochastic differential equation models
• [q-bio.NC]Generative models as parsimonious descriptions of sensorimotor loops
• [q-bio.NC]Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks
• [stat.AP]Assessing simulation and bias correction methods for wind power generation in Brazil - can global datasets compete with local measurements
• [stat.AP]Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of Time-Varying Environmental Exposures in Children’s Health Studies
• [stat.AP]Models for Genetic Diversity Generated by Negative Binomial Point Processes
• [stat.AP]PoD-TPI: Probability-of-Decision Toxicity Probability Interval Design to Accelerate Phase I Trials
• [stat.ME]Individualized Treatment Selection: An Optimal Hypothesis Testing Approach In High-dimensional Models
• [stat.ME]Shrinkage Estimators in Online Experiments
• [stat.ML]Active Manifolds: A non-linear analogue to Active Subspaces
• [stat.ML]Hitting Time of Stochastic Gradient Langevin Dynamics to Stationary Points: A Direct Analysis
• [stat.ML]Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout
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• [cond-mat.dis-nn]Minimal model of permutation symmetry in unsupervised learning
Tianqi Hou, K. Y. Michael Wong, Haiping Huang
http://arxiv.org/abs/1904.13052v1
• [cs.AI]Anytime Integrated Task and Motion Policies for Stochastic Environments
Naman Shah, Siddharth Srivastava
http://arxiv.org/abs/1904.13006v1
• [cs.AI]Efficiently Checking Actual Causality with SAT Solving
Amjad Ibrahim, Simon Rehwald, Alexander Pretschner
http://arxiv.org/abs/1904.13101v1
• [cs.AI]Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations
Ozan Arkan Can, Pedro Zuidberg Dos Martires, Andreas Persson, Julian Gaal, Amy Loutfi, Luc De Raedt, Deniz Yuret, Alessandro Saffiotti
http://arxiv.org/abs/1904.13324v1
• [cs.AI]Online Causal Structure Learning in the Presence of Latent Variables
Durdane Kocacoban, James Cussens
http://arxiv.org/abs/1904.13247v1
• [cs.AI]Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud
Cheol Young Park, Shou Matsumoto, Jubyung Ha, YoungWon Park
http://arxiv.org/abs/1904.12958v1
• [cs.AI]Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation
Marjan Alirezaie, Martin Längkvist, Michael Sioutis, Amy Loutfi
http://arxiv.org/abs/1904.13196v1
• [cs.CL]A self-attention based deep learning method for lesion attribute detection from CT reports
Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu
http://arxiv.org/abs/1904.13018v1
• [cs.CL]Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors
Anne Lauscher, Goran Glavaš
http://arxiv.org/abs/1904.11783v2
• [cs.CL]Don’t Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Francesco Moramarco, Jack Flann, Nils Y. Hammerla
http://arxiv.org/abs/1904.13264v1
• [cs.CL]English Broadcast News Speech Recognition by Humans and Machines
Samuel Thomas, Masayuki Suzuki, Yinghui Huang, Gakuto Kurata, Zoltan Tuske, George Saon, Brian Kingsbury, Michael Picheny, Tom Dibert, Alice Kaiser-Schatzlein, Bern Samko
http://arxiv.org/abs/1904.13258v1
• [cs.CL]Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage
Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar
http://arxiv.org/abs/1904.13178v1
• [cs.CL]Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators
Sanghyun Yi, Rahul Goel, Chandra Khatri, Tagyoung Chung, Behnam Hedayatnia, Anu Venkatesh, Raefer Gabriel, Dilek Hakkani-Tur
http://arxiv.org/abs/1904.13015v1
• [cs.CL]Very Deep Self-Attention Networks for End-to-End Speech Recognition
Ngoc-Quan Pham, Thai-Son Nguyen, Jan Niehues, Markus Muller, Alex Waibel
http://arxiv.org/abs/1904.13377v1
• [cs.CR]Agent-Based Simulations of Blockchain protocols illustrated via Kadena’s Chainweb
Tarun Chitra, Monica Quaintance, Stuart Haber, Will Martino
http://arxiv.org/abs/1904.12924v1
• [cs.CR]An Argumentation-Based Approach to Assist in the Investigation and Attribution of Cyber-Attacks
Erisa Karafili, Linna Wang, Emil C. Lupu
http://arxiv.org/abs/1904.13173v1
• [cs.CV]A Study on Action Detection in the Wild
Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid
http://arxiv.org/abs/1904.12993v1
• [cs.CV]A neural network based on SPD manifold learning for skeleton-based hand gesture recognition
Xuan Son Nguyen, Luc Brun, Olivier Lézoray, Sébastien Bougleux
http://arxiv.org/abs/1904.12970v1
• [cs.CV]Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction
Yuan Yuan, Dong Wang, Qi Wang
http://arxiv.org/abs/1904.13079v1
• [cs.CV]Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning
Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit
http://arxiv.org/abs/1904.12534v2
• [cs.CV]Comparative evaluation of 2D feature correspondence selection algorithms
Chen Zhao, Jiaqi Yang, Yang Xiao, Zhiguo Cao
http://arxiv.org/abs/1904.13383v1
• [cs.CV]Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
Kisuk Lee, Nicholas Turner, Thomas Macrina, Jingpeng Wu, Ran Lu, H. Sebastian Seung
http://arxiv.org/abs/1904.12966v1
• [cs.CV]Cross-Modal Message Passing for Two-stream Fusion
Dong Wang, Yuan Yuan, Qi Wang
http://arxiv.org/abs/1904.13072v1
• [cs.CV]Curvature: A signature for Action Recognition in Video Sequences
He Chen, Gregory S. Chirikjian
http://arxiv.org/abs/1904.13003v1
• [cs.CV]Deep Learning Based Robot for Automatically Picking up Garbage on the Grass
Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu, Kai Wang, Dijun Liu
http://arxiv.org/abs/1904.13034v1
• [cs.CV]Deep Learning-based Face Pose Recovery
Zhaoxiang Liu, Zezhou Chen, Jinqiang Bai, Shaohua Li, Shiguo Lian
http://arxiv.org/abs/1904.13102v1
• [cs.CV]Detecting Reflections by Combining Semantic and Instance Segmentation
David Owen, Ping-Lin Chang
http://arxiv.org/abs/1904.13273v1
• [cs.CV]DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze
http://arxiv.org/abs/1904.12894v1
• [cs.CV]Early Action Prediction with Generative Adversarial Networks
Dong Wang, Yuan Yuan, Qi Wang
http://arxiv.org/abs/1904.13085v1
• [cs.CV]Facial Expressions Analysis Under Occlusions Based on Specificities of Facial Motion Propagation
Delphine Poux, Benjamin Allaert, Jose Mennesson, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba
http://arxiv.org/abs/1904.13154v1
• [cs.CV]GaborNet: Gabor filters with learnable parameters in deep convolutional neural networks
Andrey Alekseev, Anatoly Bobe
http://arxiv.org/abs/1904.13204v1
• [cs.CV]Handwritten Chinese Font Generation with Collaborative Stroke Refinement
Chuan Wen, Jie Chang, Ya Zhang
http://arxiv.org/abs/1904.13268v1
• [cs.CV]Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
Masanari Kimura, Masayuki Tanaka
http://arxiv.org/abs/1904.13078v1
• [cs.CV]Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
Jiaming Liu, Chi-Hao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang
http://arxiv.org/abs/1904.12945v1
• [cs.CV]Learning to Find Common Objects Across Image Collections
Amirreza Shaban, Amir Rahimi, Stephen Gould, Byron Boots, Richard Hartley
http://arxiv.org/abs/1904.12936v1
• [cs.CV]Memory-Augmented Temporal Dynamic Learning for Action Recognition
Yuan Yuan, Dong Wang, Qi Wang
http://arxiv.org/abs/1904.13080v1
• [cs.CV]Non-Rigid Structure-From-Motion by Rank-One Basis Shapes
Sami S. Brandt, Hanno Ackermann
http://arxiv.org/abs/1904.13271v1
• [cs.CV]Object Contour and Edge Detection with RefineContourNet
Andre Peter Kelm, Vijesh Soorya Rao, Udo Zolzer
http://arxiv.org/abs/1904.13353v1
• [cs.CV]PR Product: A Substitute for Inner Product in Neural Networks
Zhennan Wang, Wenbin Zou, Chen Xu
http://arxiv.org/abs/1904.13148v1
• [cs.CV]PYRO-NN: Python Reconstruction Operators in Neural Networks
Christopher Syben, Markus Michen, Bernhard Stimpel, Stephan Seitz, Stefan Ploner, Andreas K. Maier
http://arxiv.org/abs/1904.13342v1
• [cs.CV]Segmentation is All You Need
Yuxiang Wu, Zehua Cheng, Zhenghua Xu, Weiyang Wang
http://arxiv.org/abs/1904.13300v1
• [cs.CV]Structured Prediction using cGANs with Fusion Discriminator
Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan Yuille
http://arxiv.org/abs/1904.13358v1
• [cs.CV]SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction
Wei Gao, Russ Tedrake
http://arxiv.org/abs/1904.13073v1
• [cs.CV]Surprising Effectiveness of Few-Image Unsupervised Feature Learning
Yuki M. Asano, Christian Rupprecht, Andrea Vedaldi
http://arxiv.org/abs/1904.13132v1
• [cs.CV]The Level Weighted Structural Similarity Loss: A Step Away from the MSE
Yingjing Lu
http://arxiv.org/abs/1904.13362v1
• [cs.CV]The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu
http://arxiv.org/abs/1904.12584v1
• [cs.CV]Using cameras for precise measurement of two-dimensional plant features
Amy Tabb, Germán A Holguín, Rachel Naegele
http://arxiv.org/abs/1904.13187v1
• [cs.CV]Virtual-Blind-Road Following Based Wearable Navigation Device for Blind People
Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu, Kai Wang, Dijun Liu
http://arxiv.org/abs/1904.13028v1
• [cs.CV]Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People
Jinqiang Bai, Zhaoxiang Liu, Yimin Lin, Ye Li, Shiguo Lian, Dijun Liu
http://arxiv.org/abs/1904.13037v1
• [cs.CY]Different Stages of Wearable Health Tracking Adoption & Abandonment: A Survey Study and Analysis
Ahmed Fadhil
http://arxiv.org/abs/1904.13226v1
• [cs.CY]On Social Machines for Algorithmic Regulation
Nello Cristianini, Teresa Scantamburlo
http://arxiv.org/abs/1904.13316v1
• [cs.CY]The Virtual Machinery Workshop: an Immersive 360 degree Web-Based Vocational Education Learning
Prayitno, Anwar Sukito Ardjo, Liliek Triyono, Bambang Kuswanto
http://arxiv.org/abs/1904.13209v1
• [cs.DB]Learning Restricted Regular Expressions with Interleaving
Chunmei Dong, Yeting Li, Haiming Chen
http://arxiv.org/abs/1904.13164v1
• [cs.DB]Supporting Video Queries on Zero-Streaming Cameras
Mengwei Xu, Tiantu Xu, Yunxin Liu, Xuanzhe Liu, Gang Huang, Felix Xiaozhu Lin
http://arxiv.org/abs/1904.12342v1
• [cs.DC]Is Stellar As Secure As You Think?
Minjeong Kim, Yujin Kwon, Yongdae Kim
http://arxiv.org/abs/1904.13302v1
• [cs.DC]Please, do not decentralize the Internet with (permissionless) blockchains!
Pedro Garcia Lopez, Alberto Montresor, Anwitaman Datta
http://arxiv.org/abs/1904.13093v1
• [cs.GR]Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation
Yifeng Jiang, Tom Van Wouwe, Friedl De Groote, C. Karen Liu
http://arxiv.org/abs/1904.13041v1
• [cs.HC]Coevo: a collaborative design platform with artificial agents
Gerard Serra, David Miralles
http://arxiv.org/abs/1904.13333v1
• [cs.HC]You can’t see what you can’t see: Experimental evidence for how much relevant information may be missed due to Google’s Web search personalisation
Cameron Lai, Markus Luczak-Roesch
http://arxiv.org/abs/1904.13022v1
• [cs.IR]Collaborative Filtering via High-Dimensional Regression
Harald Steck
http://arxiv.org/abs/1904.13033v1
• [cs.IR]Effective and Efficient Indexing in Cross-Modal Hashing-Based Datasets
Chih-Yi Chiu, Sarawut Markchit
http://arxiv.org/abs/1904.13325v1
• [cs.IR]Learning Image Information for eCommerce Queries
Utkarsh Porwal
http://arxiv.org/abs/1904.12856v1
• [cs.IR]On the Effect of Low-Frequency Terms on Neural-IR Models
Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury
http://arxiv.org/abs/1904.12683v2
• [cs.IR]Sentiment Classification using N-gram IDF and Automated Machine Learning
Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto
http://arxiv.org/abs/1904.12162v1
• [cs.IT]A Low-Complexity Antenna-Layout-Aware Spatial Covariance Matrix Estimation Method
Shangbin Wu, Xiaoqing Zhang
http://arxiv.org/abs/1904.13296v1
• [cs.IT]Age-Optimal Transmission of Rateless Codes in an Erasure Channel
Songtao Feng, Jing Yang
http://arxiv.org/abs/1904.13048v1
• [cs.IT]Design of Protograph Codes for Additive White Symmetric Alpha-Stable Noise Channels
Xingwei Zhong, Kui Cai, Pingping Chen, Zhen Mei
http://arxiv.org/abs/1904.13245v1
• [cs.IT]Gradient Coding Based on Block Designs for Mitigating Adversarial Stragglers
Swanand Kadhe, O. Ozan Koyluoglu, Kannan Ramchandran
http://arxiv.org/abs/1904.13373v1
• [cs.IT]Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation
Qian Yu, A. Salman Avestimehr
http://arxiv.org/abs/1904.13206v1
• [cs.IT]Information geometry and asymptotic geodesics on the space of normal distributions
Wolfgang Globke, Raul Quiroga-Barranco
http://arxiv.org/abs/1904.12921v1
• [cs.IT]On the 2-adic complexity of a class of binary sequences of period $4p$ with optimal autocorrelation magnitude
Minghui Yang, Lulu Zhang, Keqin Feng
http://arxiv.org/abs/1904.13012v1
• [cs.IT]On the Construction of $G_N$-coset Codes for Parallel Decoding
Xianbin Wang, Huazi Zhang, Rong Li, Jiajie Tong, Yiqun Ge, Jun Wang
http://arxiv.org/abs/1904.13182v1
• [cs.IT]Online User Scheduling and Resource Allocation for Mobile-Edge Computing Systems
Shanfeng Huang, Bojie Lv, Rui Wang
http://arxiv.org/abs/1904.13024v1
• [cs.IT]Over-the-Air Computation via Intelligent Reflecting Surfaces
Tao Jiang, Yuanming Shi
http://arxiv.org/abs/1904.12475v2
• [cs.IT]Physical Layer Performance Evaluation of Wireless Infrared-based LiFi Uplink
Cheng Chen, Dushyantha Basnayaka, Ardimas Andi Purwita, Xiping Wu, Harald Haas
http://arxiv.org/abs/1904.13163v1
• [cs.IT]Polar Codes for the Deletion Channel: Weak and Strong Polarization
Ido Tal, Henry D. Pfister, Arman Fazeli, Alexander Vardy
http://arxiv.org/abs/1904.13385v1
• [cs.IT]Realizing Multi-Point Vehicular Positioning via Millimeter-wave Transmission
Zezhong Zhang, Seung-Woo Ko, Rui Wang, Kaibin Huang
http://arxiv.org/abs/1904.13010v1
• [cs.LG]A General Spatio-Temporal Clustering-Based Non-local Formulation for Multiscale Modeling of Compartmentalized Reservoirs
Soheil Esmaeilzadeh, Amir Salehi, Gill Hetz, Feyisayo Olalotiti-lawal, Hamed Darabi, David Castineira
http://arxiv.org/abs/1904.13236v1
• [cs.LG]A scalable saliency-based Feature selection method with instance level information
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama
http://arxiv.org/abs/1904.13127v1
• [cs.LG]A supervised-learning-based strategy for optimal demand response of an HVAC System
Youngjin Kim
http://arxiv.org/abs/1904.13304v1
• [cs.LG]Advancing GraphSAGE with A Data-Driven Node Sampling
Jihun Oh, Kyunghyun Cho, Joan Bruna
http://arxiv.org/abs/1904.12935v1
• [cs.LG]Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data
Xin Du, Lei Sun, Wouter Duivesteijn, Alexander Nikolaev, Mykola Pechenizkiy
http://arxiv.org/abs/1904.13335v1
• [cs.LG]Adversarial Training and Robustness for Multiple Perturbations
Florian Tramèr, Dan Boneh
http://arxiv.org/abs/1904.13000v1
• [cs.LG]An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks
Emad-ul-Haq Qazi, Muhammad Hussain, Hatim Aboalsamh
http://arxiv.org/abs/1904.13228v1
• [cs.LG]AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications
Luo Yuanfei, Wang Mengshuo, Zhou Hao, Yao Quanming, Tu WeiWei, Chen Yuqiang, Yang Qiang, Dai Wenyuan
http://arxiv.org/abs/1904.12857v1
• [cs.LG]Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models
Emad-ul-Haq Qazi, Muhammad Hussain, Hatim AboAlsamh, Ihsan Ullah
http://arxiv.org/abs/1904.13234v1
• [cs.LG]Categorical Feature Compression via Submodular Optimization
MohammadHossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab S. Mirrokni, Afshin Rostamizadeh
http://arxiv.org/abs/1904.13389v1
• [cs.LG]Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold, Daniel Mankowitz, Todd Hester
http://arxiv.org/abs/1904.12901v1
• [cs.LG]Clustering Optimization: Finding the Number and Centroids of Clusters by a Fourier-based Algorithm
Soheil Mehrabkhani
http://arxiv.org/abs/1904.13241v1
• [cs.LG]Curriculum Learning in Deep Neural Networks for Financial Forecasting
Allison Koenecke, Amita Gajewar
http://arxiv.org/abs/1904.12887v1
• [cs.LG]DAC: The Double Actor-Critic Architecture for Learning Options
Shangtong Zhang, Shimon Whiteson
http://arxiv.org/abs/1904.12691v2
• [cs.LG]Deep Spectral Clustering using Dual Autoencoder Network
Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu
http://arxiv.org/abs/1904.13113v1
• [cs.LG]Detecting Adversarial Examples through Nonlinear Dimensionality Reduction
Francesco Crecchi, Davide Bacciu, Battista Biggio
http://arxiv.org/abs/1904.13094v1
• [cs.LG]Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents
Saeed Bamatraf, Muhammad Hussain, Emad-ul-Haq Qazi, Hatim Aboalsamh
http://arxiv.org/abs/1904.13221v1
• [cs.LG]Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine
Austin Slakey, Daniel Salas, Yoni Schamroth
http://arxiv.org/abs/1904.13001v1
• [cs.LG]Factor Analysis in Fault Diagnostics Using Random Forest
Nagdev Amruthnath, Tarun Gupta
http://arxiv.org/abs/1904.13366v1
• [cs.LG]Finding Invariants in Deep Neural Networks
Divya Gopinath, Ankur Taly, Hayes Converse, Corina S. Pasareanu
http://arxiv.org/abs/1904.13215v1
• [cs.LG]Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning
Kacper Kielak
http://arxiv.org/abs/1904.13255v1
• [cs.LG]Graph Convolutional Networks with EigenPooling
Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
http://arxiv.org/abs/1904.13107v1
• [cs.LG]Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks
Gauthier Gidel, Francis Bach, Simon Lacoste-Julien
http://arxiv.org/abs/1904.13262v1
• [cs.LG]Improving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode
Gregory B. Rehm, Brooks T. Kuhn, Jimmy Nguyen, Nicholas R. Anderson, Chen-Nee Chuah, Jason Y. Adams
http://arxiv.org/abs/1904.12969v1
• [cs.LG]Incorporating Symbolic Sequential Modeling for Speech Enhancement
Chien-Feng Liao, Yu Tsao, Xugang Lu, Hisashi Kawai
http://arxiv.org/abs/1904.13142v1
• [cs.LG]Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator
James Bocinsky, Connor McCurley, Daniel Shats, Alina Zare
http://arxiv.org/abs/1904.13197v1
• [cs.LG]Learning Fair Representations via an Adversarial Framework
Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang
http://arxiv.org/abs/1904.13341v1
• [cs.LG]Model Comparison for Semantic Grouping
Francisco Vargas, Kamen Brestnichki, Nils Hammerla
http://arxiv.org/abs/1904.13323v1
• [cs.LG]Multimodal Classification of Urban Micro-Events
Maarten Sukel, Stevan Rudinac, Marcel Worring
http://arxiv.org/abs/1904.13349v1
• [cs.LG]New optimization algorithms for neural network training using operator splitting techniques
Cristian Daniel Alecsa, Titus Pinta, Imre Boros
http://arxiv.org/abs/1904.12952v1
• [cs.LG]Nonparametric feature extraction based on Minimax distance
Morteza Haghir Chehreghani
http://arxiv.org/abs/1904.13223v1
• [cs.LG]Recurrent Neural Networks in the Eye of Differential Equations
Murphy Yuezhen Niu, Lior Horesh, Isaac Chuang
http://arxiv.org/abs/1904.12933v1
• [cs.LG]Risk-Averse Explore-Then-Commit Algorithms for Finite-Time Bandits
Ali Yekkehkhany, Ebrahim Arian, Mohammad Hajiesmaili, Rakesh Nagi
http://arxiv.org/abs/1904.13387v1
• [cs.LG]Sequence to sequence deep learning models for solar irradiation forecasting
Bhaskar Pratim Mukhoty, Vikas Maurya, Sandeep Kumar Shukla
http://arxiv.org/abs/1904.13081v1
• [cs.LG]Test Selection for Deep Learning Systems
Wei Ma, Mike Papadakis, Anestis Tsakmalis, Maxime Cordy, Yves Le Traon
http://arxiv.org/abs/1904.13195v1
• [cs.LG]Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies
Stefan G. Stark, Stephanie L. Hyland, Melanie Fernandes Pradier, Kjong Lehmann, Andreas Wicki, Fernando Perez Cruz, Julia E. Vogt, Gunnar Rätsch
http://arxiv.org/abs/1904.12973v1
• [cs.LG]Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
Shuhan Tan, Jiening Jiao, Wei-Shi Zheng
http://arxiv.org/abs/1904.13179v1
• [cs.LG]Why should you trust my interpretation? Understanding uncertainty in LIME predictions
Hui Fen, Tan, Kuangyan Song, Madeilene Udell, Yiming Sun, Yujia Zhang
http://arxiv.org/abs/1904.12991v1
• [cs.NE]Survey of Dropout Methods for Deep Neural Networks
Alex Labach, Hojjat Salehinejad, Shahrokh Valaee
http://arxiv.org/abs/1904.13310v1
• [cs.NI]A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks
Kazi Ishfaq Ahmed, Ekram Hossain
http://arxiv.org/abs/1904.13032v1
• [cs.NI]Elastic-TCP: Flexible Congestion Control Algorithm to Adapt for High-BDP Networks
Mohamed A. Alrshah, Mohamed A. Al-Maqri, Mohamed Othman
http://arxiv.org/abs/1904.13105v1
• [cs.RO]A novel geometrically inspired polynomial kernel for robot inverse dynamics
Alberto Dalla Libera, Ruggero Carli
http://arxiv.org/abs/1904.13317v1
• [cs.RO]Cooperative Localization under Limited Connectivity
Jianan Zhu, Solmaz S. Kia
http://arxiv.org/abs/1904.13074v1
• [cs.RO]Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning
Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz
http://arxiv.org/abs/1904.12907v1
• [cs.RO]Frontal Plane Bipedal Zero Dynamics Control
Arthur de Oliveira, Guilherme Vicinansa, Paulo da Silva, Bruno Angélico
http://arxiv.org/abs/1904.12939v1
• [cs.RO]Incrementally Learned Mixture Models for GNSS Localization
Tim Pfeifer, Peter Protzel
http://arxiv.org/abs/1904.13279v1
• [cs.RO]Loop-Closure Detection Based on 3D Point Cloud Learning for Self-Driving Industry Vehicles
Zhe Liu, Chuanzhe Suo, Shunbo Zhou, Wen Chen, Hesheng Wang, Yun-Hui Liu
http://arxiv.org/abs/1904.13030v1
• [cs.SD]Performing Structured Improvisations with pre-trained Deep Learning Models
Pablo Samuel Castro
http://arxiv.org/abs/1904.13285v1
• [cs.SI]Computational Models for Commercial Advertisements in Social Networks
Samet Atdag, Haluk O. Bingol
http://arxiv.org/abs/1904.13198v1
• [cs.SI]StartupBR: Higher Education’s Influence on Social Networks and Entrepreneurship in Brazil
Michelle Reddy, Júlio C. Nardelli, Yuri L. Pereira, Marisa Vasconcelos, Thiago H. Silva, Leonardo B. Oliveira, Mark Horowitz
http://arxiv.org/abs/1904.12026v2
• [cs.SI]The Role of User Profile for Fake News Detection
Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu
http://arxiv.org/abs/1904.13355v1
• [cs.SI]Triangle Preferential Attachment Has Power-law Degrees and Eigenvalues; Eigenvalues Are More Stable to Network Sampling
Nicole Eikmeier, David F. Gleich
http://arxiv.org/abs/1904.12989v1
• [econ.EM]A Factor-Augmented Markov Switching (FAMS) Model
Gregor Zens, Maximilian Böck
http://arxiv.org/abs/1904.13194v1
• [eess.IV]CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation
Jonathan Rubin, S. Mazdak Abulnaga
http://arxiv.org/abs/1904.13281v1
• [eess.IV]Country-wide high-resolution vegetation height mapping with Sentinel-2
Nico Lang, Konrad Schindler, Jan Dirk Wegner
http://arxiv.org/abs/1904.13270v1
• [eess.IV]Optimal Clustering Framework for Hyperspectral Band Selection
Qi Wang, Fahong Zhang, Xuelong Li
http://arxiv.org/abs/1904.13036v1
• [math.CT]Computational Petri Nets: Adjunctions Considered Harmful
Fabrizio Genovese, Alex Gryzlov, Jelle Herold, Marco Perone, Erik Post, André Videla
http://arxiv.org/abs/1904.12974v1
• [math.OC]Restricted Boltzmann Machine Assignment Algorithm: Application to solve many-to-one matching problems on weighted bipartite graph
Francesco Curia
http://arxiv.org/abs/1904.13111v1
• [math.ST]Asymptotic Distribution of the Score Test for Detecting Marks in Hawkes Processes
Simon Clinet, William T. M. Dunsmuir, Gareth W. Peters, Kylie-Anne Richards
http://arxiv.org/abs/1904.13147v1
• [math.ST]Consistency of least squares estimation to the parameter for stochastic differential equations under distribution uncertainty
Chen Fei, Weiyin Fei
http://arxiv.org/abs/1904.12701v1
• [math.ST]Convergence rates for ordinal embedding
Jordan S. Ellenberg, Lalit Jain
http://arxiv.org/abs/1904.12994v1
• [math.ST]Estimating Proportion of True Null Hypotheses based on Sum of p-values and application to microarrays
Aniket Biswas
http://arxiv.org/abs/1904.13282v1
• [math.ST]Exact Testing of Many Moment Inequalities Against Multiple Violations
Nick Koning, Paul Bekker
http://arxiv.org/abs/1904.12775v1
• [math.ST]Extreme Nonlinear Correlation for Multiple Random Variables and Stochastic Processes with Applications to Additive Models
Zijian Guo, Cun-Hui Zhang
http://arxiv.org/abs/1904.12897v1
• [math.ST]Minimax semi-supervised confidence sets for multi-class classification
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri
http://arxiv.org/abs/1904.12527v1
• [math.ST]Ready-to-Use Unbiased Estimators for Multivariate Cumulants Including One That Outperforms $\overline{x^3}$
Fabian Schefczik, Daniel Hägele
http://arxiv.org/abs/1904.12154v1
• [math.ST]Schwartz type model selection for ergodic stochastic differential equation models
Shoichi Eguchi, Yuma Uehara
http://arxiv.org/abs/1904.12398v1
• [q-bio.NC]Generative models as parsimonious descriptions of sensorimotor loops
Manuel Baltieri, Christopher L. Buckley
http://arxiv.org/abs/1904.12937v1
• [q-bio.NC]Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks
Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu
http://arxiv.org/abs/1904.13007v1
• [stat.AP]Assessing simulation and bias correction methods for wind power generation in Brazil - can global datasets compete with local measurements
Katharina Gruber, Claude Kloeckl, Peter Regner, Johannes Schmidt
http://arxiv.org/abs/1904.13083v1
• [stat.AP]Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of Time-Varying Environmental Exposures in Children’s Health Studies
Ander Wilson, Hsiao-Hsien Leon Hsu, Yueh-Hsiu Mathilda Chiu, Robert O. Wright, Rosalind J. Wright, Brent A. Coull
http://arxiv.org/abs/1904.12417v2
• [stat.AP]Models for Genetic Diversity Generated by Negative Binomial Point Processes
Yuguang F. Ipsen, Soudabeh Shemehsavar, Ross A. Maller
http://arxiv.org/abs/1904.13046v1
• [stat.AP]PoD-TPI: Probability-of-Decision Toxicity Probability Interval Design to Accelerate Phase I Trials
Tianjian Zhou, Wentian Guo, Yuan Ji
http://arxiv.org/abs/1904.12981v1
• [stat.ME]Individualized Treatment Selection: An Optimal Hypothesis Testing Approach In High-dimensional Models
Tianxi Cai, Tony Cai, Zijian Guo
http://arxiv.org/abs/1904.12891v1
• [stat.ME]Shrinkage Estimators in Online Experiments
Drew Dimmery, Eytan Bakshy, Jasjeet Sekhon
http://arxiv.org/abs/1904.12918v1
• [stat.ML]Active Manifolds: A non-linear analogue to Active Subspaces
Robert A. Bridges, Anthony D. Gruber, Cristopher R. Felder, Miki Verma, Chelsey Hoff
http://arxiv.org/abs/1904.13386v1
• [stat.ML]Hitting Time of Stochastic Gradient Langevin Dynamics to Stationary Points: A Direct Analysis
Xi Chen, Simon S. Du, Xin T. Tong
http://arxiv.org/abs/1904.13016v1
• [stat.ML]Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout
Nathan Wycoff, Prasanna Balaprakash, Fangfang Xia
http://arxiv.org/abs/1904.12904v1