2019.03.24 Learning papers

03-19-2019		Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables by Kate Rakelly et al	Policy & Deep Reinforcement Learning	235	0
03-21-2019		Towards Characterizing Divergence in Deep Q-Learning by Joshua Achiam et al	Policy & Deep Reinforcement Learning	60	0
03-19-2019		IndyLSTMs: Independently Recurrent LSTMs by Pedro Gonnet et al	Recurrent Neural Networks (RNN) & LSTMs	59	0
03-19-2019		A Quantum Annealing-Based Approach to Extreme Clustering by Tim Jaschek et al	Clusters & Spectral Clustering	34	0
03-21-2019		Node Embedding over Temporal Graphs by Uriel Singer et al	Node & Graph Convolutional Networks	30	0
03-20-2019		A Graph-structured Dataset for Wikipedia Research by Nicolas Aspert et al	Node & Graph Convolutional Networks	25	0
03-20-2019		Implicit Generation and Generalization in Energy-Based Models by Yilun Du et al	Other	19	0
03-20-2019		A Unified Analytical Framework for Trustable Machine Learning and Automation Running with Blockchain by Tao Wang	Distributed & Deep Learning	19	0
03-20-2019		Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction by Luchen Liu et al	Prediction & Forecasting	19	0
03-19-2019		NeuralHydrology - Interpreting LSTMs in Hydrology by Frederik Kratzert et al	Recurrent Neural Networks (RNN) & LSTMs	18	0
03-20-2019		Visual interpretation of the robustness of Non-Negative Associative Gradient Projection Points over function minimizers in mini-batch sampled loss functions by Dominic Kafka et al	Stochastic Gradient & Gradient Descent	16	0
03-20-2019		Performance Measurement for Deep Bayesian Neural Network by Yikuan Li et al	Uncertainty & Bayesian Neural Networks	15	0
03-21-2019		Learning Disentangled Representations of Satellite Image Time Series by Eduardo Sanchez et al	Time Series Classification & Time Series Forecasting	15	0
03-20-2019		Interpreting Neural Networks Using Flip Points by Roozbeh Yousefzadeh et al	Stochastic Gradient & Gradient Descent	14	0
03-20-2019		Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML by Jie Zhang et al	Memory & Privacy	13	0
03-21-2019		Short-Term Prediction and Multi-Camera Fusion on Semantic Grids by Lukas Hoyer et al	Policy & Deep Reinforcement Learning	13	0
03-19-2019		Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression by Arun Sai Suggala et al	Regression & Linear	13	0
03-19-2019		A Matrix-in-matrix Neural Network for Image Super Resolution by Hailong Ma et al	Image Segmentation & Convolutional Neural Networks	12	0
03-20-2019		Noisy Accelerated Power Method for Eigenproblems with Applications by Vien V. Mai et al	Regression & Linear	11	0
03-20-2019		Rapid Convergence of the Unadjusted Langevin Algorithm: Log-Sobolev Suffices by Santosh S. Vempala et al	Stochastic Gradient & Gradient Descent	11	0
03-19-2019		Simple, Fast, Accurate Intent Classification and Slot Labeling by Arshit Gupta et al	Recurrent Neural Networks (RNN) & LSTMs	11	0
03-19-2019		Class-incremental Learning via Deep Model Consolidation by Junting Zhang et al	Domain Adaptation & Transfer Learning	10	0
03-20-2019		Representative Datasets: The Perceptron Case by Rocio Gonzalez-Diaz et al	Regression & Linear	10	0
03-20-2019		Contextual Bandits with Random Projection by Xiaotian Yu	Regret & Bandits	10	0
03-20-2019		Efficient Inner Product Approximation in Hybrid Spaces by Xiang Wu et al	Other	9	0
03-20-2019		Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants by Dmitry Kuznichov et al	Image Segmentation & Convolutional Neural Networks	9	0
03-19-2019		The Probabilistic Object Detection Challenge by John Skinner et al	Anomaly Detection & Object Detection	9	0
03-19-2019		Hindsight Generative Adversarial Imitation Learning by Naijun Liu et al	Policy & Deep Reinforcement Learning	9	0
03-19-2019		An Evaluation of Bitcoin Address Classification based on Transaction History Summarization by Yu-Jing Lin et al	Distributed & Deep Learning	9	0
03-19-2019		GANs for Semi-Supervised Opinion Spam Detection by Gray Stanton et al	Label & Semi-supervised	9	4
03-20-2019		Accelerating Gradient Boosting Machine by Haihao Lu et al	Stochastic Gradient & Gradient Descent	9	0
03-21-2019		Convolutional Neural Network on Semi-Regular Triangulated Meshes and its Application to Brain Image Data by Caoqiang Liu et al	Node & Graph Convolutional Networks	9	0
03-19-2019		Trained Uniform Quantization for Accurate and Efficient Neural Network Inference on Fixed-Point Hardware by Sambhav R. Jain et al	Quantization & Compression	8	0
03-20-2019		Dilated deeply supervised networks for hippocampus segmentation in MRI by Lukas Folle et al	Image Segmentation & Convolutional Neural Networks	8	0
03-20-2019		Column2Vec: Structural Understanding via Distributed Representations of Database Schemas by Michael J. Mior et al	Distributed & Deep Learning	8	0
03-21-2019		Interpretable Reinforcement Learning via Differentiable Decision Trees by Ivan Dario Jimenez Rodriguez et al	Tree & Fairness	8	0
03-20-2019		Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks by Steven Carr et al	Recurrent Neural Networks (RNN) & LSTMs	8	0
03-19-2019		A semi-supervised deep learning algorithm for abnormal EEG identification by Subhrajit Roy et al	Label & Semi-supervised	8	0
03-22-2019		Gradient-only line searches: An Alternative to Probabilistic Line Searches by Dominic Kafka et al	Stochastic Gradient & Gradient Descent	8	0
03-21-2019		Generative Models For Deep Learning with Very Scarce Data by Juan Maroñas et al	Variational & Latent	8	0
03-19-2019		A Comprehensive Comparison of Unsupervised Network Representation Learning Methods by Megha Khosla et al	Node & Graph Convolutional Networks	8	0
03-20-2019		Uncertainty quantification of molecular property prediction with Bayesian neural networks by Seongok Ryu et al	Uncertainty & Bayesian Neural Networks	7	0
03-19-2019		Surprises in High-Dimensional Ridgeless Least Squares Interpolation by Trevor Hastie et al	Regression & Linear	7	0
03-20-2019		Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression by Maurice Quach et al	Quantization & Compression	7	0
03-21-2019		A Principled Approach for Learning Task Similarity in Multitask Learning by Changjian Shui et al	Other	7	0
03-19-2019		Adaptivity, Variance and Separation for Adversarial Bandits by Roman Pogodin et al	Regret & Bandits	7	0
03-21-2019		Convolutional neural network for detection and classification of seizures in clinical data by Tomas Iesmantas et al	Image Segmentation & Convolutional Neural Networks	7	0
03-19-2019		Ensemble Clustering for Graphs: Comparisons and Applications by Valérie Poulin et al	Clusters & Spectral Clustering	7	0
03-19-2019		A Note on KL-UCB+ Policy for the Stochastic Bandit by Junya Honda	Policy & Deep Reinforcement Learning	7	0
03-19-2019		Identifying Experts in Software Libraries and Frameworks among GitHub Users by Joao Eduardo Montandon et al	Distributed & Deep Learning	6	0
03-19-2019		Personalized Neural Embeddings for Collaborative Filtering with Text by Guangneng Hu	Word Embeddings & Users	6	0
03-20-2019		Preference rules for label ranking: Mining patterns in multi-target relations by Cláudio Rebelo de Sá et al	Label & Semi-supervised	6	0
03-20-2019		Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC) by Jonathan Williams et al	Tree & Fairness	6	0
03-19-2019		POP-CNN: Predicting Odors Pleasantness with Convolutional Neural Network by Danli Wu et al	Image Segmentation & Convolutional Neural Networks	6	0
03-21-2019		Towards automatic construction of multi-network models for heterogeneous multi-task learning by Unai Garciarena et al	Image Segmentation & Convolutional Neural Networks	5	0
03-21-2019		A unified spectra analysis workflow for the assessment of microbial contamination of ready to eat green salads: Comparative study and application of non-invasive sensors by Panagiotis Tsakanikas et al	Feature Selection Using & Malware	5	0
03-21-2019		Multi-Task Time Series Analysis applied to Drug Response Modelling by Alex Bird et al	Time Series Classification & Time Series Forecasting	5	0
03-21-2019		Harmless interpolation of noisy data in regression by Vidya Muthukumar et al	Regression & Linear	5	0
03-19-2019		Conservative Exploration for Semi-Bandits with Linear Generalization: A Product Selection Problem for Urban Warehouses by Rong Jin et al	Regret & Bandits	5	0
03-20-2019		Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks by Sunae So et al	GANs & Generative Adversarial Networks	5	0
03-19-2019		Hyper-Parameter Sweep on AlphaZero General by Hui Wang et al	Uncertainty & Bayesian Neural Networks	5	0
03-19-2019		Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue by Junyu Cao et al	Word Embeddings & Users	5	0
03-21-2019		Subgraph Networks with Application to Structural Feature Space Expansion by Qi Xuan et al	Feature Selection Using & Malware	5	0
03-21-2019		Deep Models for Relational Databases by Devon Graham et al	Other	5	0
03-20-2019		Distributed Maximization of Submodular plus Diversity Functions for Multi-label Feature Selection on Huge Datasets by Mehrdad Ghadiri et al	Feature Selection Using & Malware	5	0
03-19-2019		Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy by Diyuan Lu et al	Image Segmentation & Convolutional Neural Networks	4	0
03-21-2019		Hydra: A method for strain-minimizing hyperbolic embedding by Martin Keller-Ressel et al	Word Embeddings & Users	4	0
03-22-2019		Artificial intelligence-based process for metal scrap sorting by Maximilian Auer et al	Distributed & Deep Learning	4	0
03-20-2019		Modelling Sequential Music Track Skips using a Multi-RNN Approach by Christian Hansen et al	Recurrent Neural Networks (RNN) & LSTMs	4	0
03-22-2019		Sampling Acquisition Functions for Batch Bayesian Optimization by Alessandro De Palma et al	Uncertainty & Bayesian Neural Networks	4	0
03-21-2019		Stochastic Optimization of Sorting Networks via Continuous Relaxations by Aditya Grover et al	Stochastic Gradient & Gradient Descent	4	0
03-21-2019		Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification by Leo L Duan	Clusters & Spectral Clustering	4	0
03-19-2019		A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis by Mohammad Siami et al	Domain Adaptation & Transfer Learning	4	0
03-21-2019		Transferability of Operational Status Classification Models Among Different Wind Turbine Typesq by Z. Trstanova et al	Low-rank & Dictionary Learning	4	0
03-19-2019		Kernel-based Translations of Convolutional Networks by Corinne Jones et al	Image Segmentation & Convolutional Neural Networks	4	0
03-21-2019		Variational Bayesian modelling of mixed-effects by Jean Daunizeau	Uncertainty & Bayesian Neural Networks	4	0
03-21-2019		Exact slice sampler for Hierarchical Dirichlet Processes by Arash A. Amini et al	Quantization & Compression	4	0
03-22-2019		Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction by Dongyang Zhao et al	Policy & Deep Reinforcement Learning	3	0
03-21-2019		On Approximate Nonlinear Gaussian Message Passing On Factor Graphs by Eike Petersen et al	Regression & Linear	3	0
03-21-2019		Perturbed-History Exploration in Stochastic Linear Bandits by Branislav Kveton et al	Regret & Bandits	3	0
03-19-2019		Learning Reciprocity in Complex Sequential Social Dilemmas by Tom Eccles et al	Word Embeddings & Users	3	0
03-21-2019		Unsupervised Speech Enhancement Based on Multichannel NMF-Informed Beamforming for Noise-Robust Automatic Speech Recognition by Kazuki Shimada et al	Speech Recognition & End	2	0
03-21-2019		The Binary Space Partitioning-Tree Process by Xuhui Fan et al	Tree & Fairness	2	0
03-21-2019		Using association rule mining and ontologies to generate metadata recommendations from multiple biomedical databases by Marcos Martínez-Romero et al	Word Embeddings & Users	2	0
03-20-2019		A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning by Juan Luis Gonzalez Bello et al	Image Segmentation & Convolutional Neural Networks	2	0
03-21-2019		Low Resource Text Classification with ULMFit and Backtranslation by Sam Shleifer	Word Embeddings & Users	2	0
03-22-2019		Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model by Yeping Hu et al	Policy & Deep Reinforcement Learning	2	0
03-21-2019		Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus by Yan Zhang et al	Policy & Deep Reinforcement Learning	2	0
03-21-2019		Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records by Li Huang et al	Server & Federated Learning Framework	2	1
03-22-2019		Comparison of Hand-held WEMI Target Detection Algorithms by Connor H. McCurley et al	Anomaly Detection & Object Detection	1	0
03-21-2019		Learning Two layer Networks with Multinomial Activation and High Thresholds by Surbhi Goel et al	Regression & Linear	1	0
03-21-2019		Multi-Domain Adversarial Learning by Alice Schoenauer-Sebag et al	Domain Adaptation & Transfer Learning	1	0
03-21-2019		A Novel Independent RNN Approach to Classification of Seizures against Non-seizures by Xinghua Yao et al	Image Segmentation & Convolutional Neural Networks	1	0
03-21-2019		Empirical confidence estimates for classification by deep neural networks by Chris Finlay et al	Uncertainty & Bayesian Neural Networks	1	0
03-21-2019		A Computer-Aided System for Determining the Application Range of a Warfarin Clinical Dosing Algorithm Using Support Vector Machines with a Polynomial Kernel Function by Ashkan Sharabiani et al	Prediction & Forecasting	1	0
03-22-2019		Impulse Response and Granger Causality in Dynamical Systems with Autoencoder Nonlinear Vector Autoregressions by Kurt Izak Cabanilla et al	Dynamics & Control	1	0
03-22-2019		Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic Characteristics by Hiroaki Adachi et al	Image Segmentation & Convolutional Neural Networks	1	0
03-22-2019		The invisible power of fairness. How machine learning shapes democracy by Elena Beretta et al	Tree & Fairness	1	0
03-21-2019		DQN with model-based exploration: efficient learning on environments with sparse rewards by Stephen Zhen Gou et al	Policy & Deep Reinforcement Learning	1	0