Week ending 10.29.18 Papers published in Arxiv's "Computer Science - Learning" category

10-24-2018	Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health by Gregory Yauney et al
10-23-2018	Using Deep Learning for price prediction by exploiting stationary limit order book features by Avraam Tsantekidis et al
10-23-2018	Efficient Eligibility Traces for Deep Reinforcement Learning by Brett Daley et al
10-25-2018	Superensemble Classifier for Improving Predictions in Imbalanced Datasets by Tanujit Chakraborty et al
10-26-2018	From the EM Algorithm to the CM-EM Algorithm for Global Convergence of Mixture Models by Chenguang Lu
10-23-2018	Convolutional Set Matching for Graph Similarity by Yunsheng Bai et al
10-24-2018	Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning by Tommy Tram et al
10-23-2018	Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients by Bleema Rosenfeld et al
10-23-2018	A Statistical Approach to Adult Census Income Level Prediction by Navoneel Chakrabarty et al
10-23-2018	Model Selection for Nonnegative Matrix Factorization by Support Union Recovery by Zhaoqiang Liu
10-24-2018	A Text Classification Application: Poet Detection from Poetry by Durmus Ozkan Sahin et al
10-24-2018	Continual Classification Learning Using Generative Models by Frantzeska Lavda et al
10-23-2018	Area Attention by Yang Li et al
10-23-2018	Deblending galaxy superpositions with branched generative adversarial networks by David M. Reiman et al
10-23-2018	Learning Representations in Model-Free Hierarchical Reinforcement Learning by Jacob Rafati et al
10-24-2018	Label Propagation for Learning with Label Proportions by Rafael Poyiadzi et al
10-23-2018	Active Ranking with Subset-wise Preferences by Aadirupa Saha et al
10-23-2018	On PAC-Bayesian Bounds for Random Forests by Stephan Sloth Lorenzen et al
10-25-2018	Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs by Han Shao et al
10-26-2018	Deep learning based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography by Max-Heinrich Laves et al
10-24-2018	Toward an AI Physicist for Unsupervised Learning by Tailin Wu et al
10-23-2018	Efficiently measuring a quantum device using machine learning by D. T. Lennon et al
10-23-2018	Statistical mechanics of low-rank tensor decomposition by Jonathan Kadmon et al
10-24-2018	Truncated Back-propagation for Bilevel Optimization by Amirreza Shaban et al
10-26-2018	Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization by Jaime Roquero Gimenez et al
10-26-2018	Resampled Priors for Variational Autoencoders by Matthias Bauer et al
10-25-2018	A Gaussian Process perspective on Convolutional Neural Networks by Anastasia Borovykh
10-26-2018	Comparing Multilayer Perceptron and Multiple Regression Models for Predicting Energy Use in the Balkans by Radmila Janković et al

10-23-2018	A Continuous-Time View of Early Stopping for Least Squares Regression by Alnur Ali et al
10-26-2018	Deep Poisson gamma dynamical systems by Dandan Guo et al
10-26-2018	CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks by Asma Nouira et al
10-24-2018	CatBoost: gradient boosting with categorical features support by Anna Veronika Dorogush et al
10-23-2018	A mathematical theory of semantic development in deep neural networks by Andrew M. Saxe et al
10-24-2018	Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso by Hari Prasanna Das et al
10-24-2018	Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning by Kun Wang et al
10-23-2018	Efficient Bayesian Experimental Design for Implicit Models by Steven Kleinegesse et al
10-24-2018	Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions by Lerrel Pinto et al
10-24-2018	Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search by Zhuwen Li et al
10-25-2018	Law and Adversarial Machine Learning by Ram Shankar Siva Kumar et al
10-25-2018	Investigating the Automatic Classification of Algae Using Fusion of Spectral and Morphological Characteristics of Algae via Deep Residual Learning by Jason L. Deglint et al
10-23-2018	Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach by Alexander Lin et al
10-23-2018	Learning Classical Planning Strategies with Policy Gradient by Pawel Gomoluch et al
10-23-2018	Interpretable LSTMs For Whole-Brain Neuroimaging Analyses by Armin W. Thomas et al
10-25-2018	Learning sparse relational transition models by Victoria Xia et al
10-25-2018	Using solar and load predictions in battery scheduling at the residential level by Richard Bean et al
10-23-2018	OCAPIS: R package for Ordinal Classification And Preprocessing In Scala by M. Cristina Heredia-Gómez et al
10-24-2018	A Deep Learning Mechanism for Efficient Information Dissemination in Vehicular Floating Content by Gaetano Manzo et al
10-24-2018	Neighbourhood Consensus Networks by Ignacio Rocco et al
10-24-2018	Learning to Route Efficiently with End-to-End Feedback: The Value of Networked Structure by Ruihao Zhu et al
10-26-2018	Generating equilibrium molecules with deep neural networks by Niklas W. A. Gebauer et al
10-24-2018	Scalable Gaussian Processes on Discrete Domains by Vincent Fortuin et al
10-23-2018	The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning by Vahid Behzadan et al
10-23-2018	Deep Learning with Long Short-Term Memory for Time Series Prediction by Yuxiu Hua et al
10-23-2018	Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods by Hao Wang et al
10-25-2018	Efficient learning of neighbor representations for boundary trees and forests by Tharindu Adikari et al
10-24-2018	G-SMOTE: A GMM-based synthetic minority oversampling technique for imbalanced learning by Tianlun Zhang et al
10-24-2018	Dynamic Graph Neural Networks by Yao Ma et al
10-26-2018	Benefits of over-parameterization with EM by Ji Xu et al
10-25-2018	Attack Graph Convolutional Networks by Adding Fake Nodes by Xiaoyun Wang et al
10-23-2018	Modified Multidimensional Scaling and High Dimensional Clustering by Xiucai Ding et al
10-23-2018	Text Embeddings for Retrieval From a Large Knowledge Base by Tolgahan Cakaloglu et al
10-25-2018	Size-Noise Tradeoffs in Generative Networks by Bolton Bailey et al
10-26-2018	Dendritic cortical microcircuits approximate the backpropagation algorithm by João Sacramento et al
10-23-2018	Aint Nobody Got Time For Coding: Structure-Aware Program Synthesis From Natural Language by Jakub Bednarek et al
10-24-2018	HAKD: Hardware Aware Knowledge Distillation by Jack Turner et al
10-25-2018	Reversible Recurrent Neural Networks by Matthew MacKay et al
10-23-2018	PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution by Hong Chen et al
10-24-2018	Loop corrections in spin models through density consistency by Alfredo Braunstein et al
10-23-2018	Smoothed Online Optimization for Regression and Control by Gautam Goel et al
10-24-2018	Why every GBDT speed benchmark is wrong by Anna Veronika Dorogush et al
10-23-2018	FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation by Xu Han et al
10-23-2018	Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space by Ermo Wei et al
10-23-2018	One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy by Jingkang Wang et al
10-26-2018	Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning by Muhammad Burhan Hafez et al
10-24-2018	Some Requests for Machine Learning Research from the East African Tech Scene by Milan Cvitkovic
10-25-2018	Batch Normalization Sampling by Zhaodong Chen et al
10-25-2018	Adaptive Online Learning in Dynamic Environments by Lijun Zhang et al
10-24-2018	Universal Language Model Fine-Tuning with Subword Tokenization for Polish by Piotr Czapla et al

10-23-2018

Dynamic Likelihood-free Inference via Ratio Estimation (DIRE) by Traiko Dinev et al
10-23-2018	Feasibility of Supervised Machine Learning for Cloud Security by Deval Bhamare et al
10-25-2018	Geometry and clustering with metrics derived from separable Bregman divergences by Erika Gomes-Gonçalves et al
10-25-2018	Efficient Learning of Restricted Boltzmann Machines Using Covariance estimates by Vidyadhar Upadhya et al
10-25-2018	Adversarially Robust Optimization with Gaussian Processes by Ilija Bogunovic et al
10-23-2018	LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on color by Ajkel Mino et al
10-23-2018	Randomized Gradient Boosting Machine by Haihao Lu et al
10-25-2018	Automating Generation of Low Precision Deep Learning Operators by Meghan Cowan et al
10-25-2018	One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks by Tianhe Yu et al
10-25-2018	Tackling Sequence to Sequence Mapping Problems with Neural Networks by Lei Yu
10-24-2018	Fast and accurate object detection in high resolution 4K and 8K video using GPUs by Vít Růžička et al
10-23-2018	Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs by Keno Fischer et al
10-24-2018	Learning with Interpretable Structure from RNN by Bo-Jian Hou et al
10-24-2018	Subgradient Descent Learns Orthogonal Dictionaries by Yu Bai et al
10-24-2018	K For The Price Of 1: Parameter Efficient Multi-task And Transfer Learning by Pramod Kaushik Mudrakarta et al
10-23-2018	PoPPy: A Point Process Toolbox Based on PyTorch by Hongteng Xu
10-24-2018	Toward Robust Neural Networks via Sparsification by Soorya Gopalakrishnan et al
10-23-2018	SwitchNet: a neural network model for forward and inverse scattering problems by Yuehaw Khoo et al
10-24-2018	Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism by Zhengchao Zhang et al
10-25-2018	Uniform Convergence of Gradients for Non-Convex Learning and Optimization by Dylan J. Foster et al
10-25-2018	Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective by Bernhard Lutz et al
10-25-2018	Training Generative Adversarial Networks Via Turing Test by Jianlin Su
10-23-2018	Finding Appropriate Traffic Regulations via Graph Convolutional Networks by Tomoharu Iwata et al
10-24-2018	Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks by Michelle A. Lee et al
10-23-2018	Deep Neural Network inference with reduced word length by Lukas Mauch et al
10-23-2018	Time-Aware and Corpus-Specific Entity Relatedness by Nilamadhaba Mohapatra et al
10-26-2018	Scalable Unbalanced Optimal Transport using Generative Adversarial Networks by Karren D. Yang et al
10-23-2018	A Binary Optimization Approach for Constrained K-Means Clustering by Huu Le et al
10-23-2018	Online learning with feedback graphs and switching costs by Anshuka Rangi et al
10-26-2018	Lossless (and Lossy) Compression of Random Forests by Amichai Painsky et al
10-24-2018	Textually Guided Ranking Network for Attentional Image Retweet Modeling by Zhou Zhao et al
10-25-2018	Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning by Yuankai Wu et al
10-25-2018	A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition by Kemilly Dearo Garcia et al
10-23-2018	Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks by Roberto Baldoni et al
10-24-2018	Forecasting Individualized Disease Trajectories using Interpretable Deep Learning by Ahmed M. Alaa et al
10-24-2018	Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach by Rajat Sen et al
10-25-2018	Speaker Selective Beamformer with Keyword Mask Estimation by Yusuke Kida et al
10-25-2018	Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features by Simone Palazzo et al
10-25-2018	Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty by Yining Wang et al
10-23-2018	Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses by Mohammad Hashemi et al
10-23-2018	Some negative results for Neural Networks by J. M. Almira et al
10-26-2018	Real-time Context-aware Learning System for IoT Applications by Bhaskar Das et al
10-23-2018	Reproducing AmbientGAN: Generative models from lossy measurements by Mehdi Ahmadi et al
10-23-2018	Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders by Abubakar Abid et al
10-25-2018	Neural Modular Control for Embodied Question Answering by Abhishek Das et al
10-26-2018	TarMAC: Targeted Multi-Agent Communication by Abhishek Das et al
10-25-2018	RELF: Robust Regression Extended with Ensemble Loss Function by Hamideh Hajiabadi et al
10-25-2018	HAR-Net:Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition by Mingtao Dong et al
10-25-2018	Bayesian Compression for Natural Language Processing by Nadezhda Chirkova et al
10-23-2018	Preprocessor Selection for Machine Learning Pipelines by Brandon Schoenfeld et al
10-25-2018	Provable Gaussian Embedding with One Observation by Ming Yu et al
10-25-2018	Communication Efficient Parallel Algorithms for Optimization on Manifolds by Bayan Saparbayeva et al
10-23-2018	Interpreting Black Box Predictions using Fisher Kernels by Rajiv Khanna et al
10-25-2018	Evading classifiers in discrete domains with provable optimality guarantees by Bogdan Kulynych et al
10-25-2018	On the Sample Complexity of PAC Learning Quantum Process by Kai-Min Chung et al
10-24-2018	Inverse reinforcement learning for video games by Aaron Tucker et al
10-23-2018	DCSVM: Fast Multi-class Classification using Support Vector Machines by Duleep Rathgamage Don et al
10-23-2018	Graph Laplacian mixture model by Hermina Petric Maretic et al
10-24-2018	SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization by Zhe Wang et al
10-24-2018	Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian by Xiuyuan Cheng et al
10-23-2018	SING: Symbol-to-Instrument Neural Generator by Alexandre Défossez et al
10-23-2018	Topic representation: finding more representative words in topic models by Jinjin Chi et al

10-23-2018	Dynamic Likelihood-free Inference via Ratio Estimation (DIRE) by Traiko Dinev et al
10-23-2018	Feasibility of Supervised Machine Learning for Cloud Security by Deval Bhamare et al
10-25-2018	Geometry and clustering with metrics derived from separable Bregman divergences by Erika Gomes-Gonçalves et al
10-25-2018	Efficient Learning of Restricted Boltzmann Machines Using Covariance estimates by Vidyadhar Upadhya et al
10-25-2018	Adversarially Robust Optimization with Gaussian Processes by Ilija Bogunovic et al
10-23-2018	LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on color by Ajkel Mino et al
10-23-2018	Randomized Gradient Boosting Machine by Haihao Lu et al
10-25-2018	Automating Generation of Low Precision Deep Learning Operators by Meghan Cowan et al
10-25-2018	One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks by Tianhe Yu et al
10-25-2018	Tackling Sequence to Sequence Mapping Problems with Neural Networks by Lei Yu
10-24-2018	Fast and accurate object detection in high resolution 4K and 8K video using GPUs by Vít Růžička et al
10-23-2018	Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs by Keno Fischer et al
10-24-2018	Learning with Interpretable Structure from RNN by Bo-Jian Hou et al
10-24-2018	Subgradient Descent Learns Orthogonal Dictionaries by Yu Bai et al
10-24-2018	K For The Price Of 1: Parameter Efficient Multi-task And Transfer Learning by Pramod Kaushik Mudrakarta et al
10-23-2018	PoPPy: A Point Process Toolbox Based on PyTorch by Hongteng Xu
10-24-2018	Toward Robust Neural Networks via Sparsification by Soorya Gopalakrishnan et al
10-23-2018	SwitchNet: a neural network model for forward and inverse scattering problems by Yuehaw Khoo et al
10-24-2018	Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism by Zhengchao Zhang et al
10-25-2018	Uniform Convergence of Gradients for Non-Convex Learning and Optimization by Dylan J. Foster et al
10-25-2018	Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective by Bernhard Lutz et al
10-25-2018	Training Generative Adversarial Networks Via Turing Test by Jianlin Su
10-23-2018	Finding Appropriate Traffic Regulations via Graph Convolutional Networks by Tomoharu Iwata et al
10-24-2018	Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks by Michelle A. Lee et al
10-23-2018	Deep Neural Network inference with reduced word length by Lukas Mauch et al
10-23-2018	Time-Aware and Corpus-Specific Entity Relatedness by Nilamadhaba Mohapatra et al
10-26-2018	Scalable Unbalanced Optimal Transport using Generative Adversarial Networks by Karren D. Yang et al
10-23-2018	A Binary Optimization Approach for Constrained K-Means Clustering by Huu Le et al
10-23-2018	Online learning with feedback graphs and switching costs by Anshuka Rangi et al
10-26-2018	Lossless (and Lossy) Compression of Random Forests by Amichai Painsky et al
10-24-2018	Textually Guided Ranking Network for Attentional Image Retweet Modeling by Zhou Zhao et al
10-25-2018	Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning by Yuankai Wu et al
10-25-2018	A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition by Kemilly Dearo Garcia et al
10-23-2018	Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks by Roberto Baldoni et al
10-24-2018	Forecasting Individualized Disease Trajectories using Interpretable Deep Learning by Ahmed M. Alaa et al
10-24-2018	Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach by Rajat Sen et al
10-25-2018	Speaker Selective Beamformer with Keyword Mask Estimation by Yusuke Kida et al
10-25-2018	Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features by Simone Palazzo et al
10-25-2018	Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty by Yining Wang et al
10-23-2018	Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses by Mohammad Hashemi et al
10-23-2018	Some negative results for Neural Networks by J. M. Almira et al
10-26-2018	Real-time Context-aware Learning System for IoT Applications by Bhaskar Das et al
10-23-2018	Reproducing AmbientGAN: Generative models from lossy measurements by Mehdi Ahmadi et al
10-23-2018	Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders by Abubakar Abid et al
10-25-2018	Neural Modular Control for Embodied Question Answering by Abhishek Das et al
10-26-2018	TarMAC: Targeted Multi-Agent Communication by Abhishek Das et al
10-25-2018	RELF: Robust Regression Extended with Ensemble Loss Function by Hamideh Hajiabadi et al
10-25-2018	HAR-Net:Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition by Mingtao Dong et al
10-25-2018	Bayesian Compression for Natural Language Processing by Nadezhda Chirkova et al
10-23-2018	Preprocessor Selection for Machine Learning Pipelines by Brandon Schoenfeld et al
10-25-2018	Provable Gaussian Embedding with One Observation by Ming Yu et al
10-25-2018	Communication Efficient Parallel Algorithms for Optimization on Manifolds by Bayan Saparbayeva et al
10-23-2018	Interpreting Black Box Predictions using Fisher Kernels by Rajiv Khanna et al
10-25-2018	Evading classifiers in discrete domains with provable optimality guarantees by Bogdan Kulynych et al
10-25-2018	On the Sample Complexity of PAC Learning Quantum Process by Kai-Min Chung et al
10-24-2018	Inverse reinforcement learning for video games by Aaron Tucker et al
10-23-2018	DCSVM: Fast Multi-class Classification using Support Vector Machines by Duleep Rathgamage Don et al
10-23-2018	Graph Laplacian mixture model by Hermina Petric Maretic et al
10-24-2018	SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization by Zhe Wang et al
10-24-2018	Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian by Xiuyuan Cheng et al
10-23-2018	SING: Symbol-to-Instrument Neural Generator by Alexandre Défossez et al
10-23-2018	Topic representation: finding more representative words in topic models by Jinjin Chi et al