03.10.19 Learning papers

03-11-2019	Deep learning for molecular generation and optimization - a review of the state of the art by Daniel C. Elton et al
03-08-2019	Support and Invertibility in Domain-Invariant Representations by Fredrik D. Johansson et al
03-11-2019	Manipulation by Feel: Touch-Based Control with Deep Predictive Models by Stephen Tian et al
03-07-2019	Only sparsity based loss function for learning representations by Vivek Bakaraju et al
03-08-2019	Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning by Wenqi Shi et al
03-07-2019	Active learning for enumerating local minima based on Gaussian process derivatives by Yu Inatsu et al
03-07-2019	Quantum Latent Semantic Analysis by Fabio A. González et al
03-10-2019	Algorithms for an Efficient Tensor Biclustering by Andriantsiory Dina Faneva et al
03-09-2019	Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer by Ashkan Panahi et al
03-08-2019	Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions by Malik Tiomoko et al
03-06-2019	Explaining Anomalies Detected by Autoencoders Using SHAP by Liat Antwarg et al
03-07-2019	Characterization of Posidonia Oceanica Seagrass Aerenchyma through Whole Slide Imaging: A Pilot Study by Olivier Debeir et al
03-07-2019	Efficient and Effective Quantization for Sparse DNNs by Yiren Zhao et al
03-09-2019	Fair Logistic Regression: An Adversarial Perspective by Ashkan Rezaei et al
03-10-2019	Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games by Chun Kai Ling et al
03-07-2019	Dynamic Anonymized Evaluation for Behavioral Continuous Authentication by Rasana Manandhar et al
03-07-2019	The Variational Predictive Natural Gradient by Da Tang et al
03-07-2019	Analysis Dictionary Learning: An Efficient and Discriminative Solution by Wen Tang et al
03-09-2019	Manifold Preserving Adversarial Learning by Ousmane Amadou Dia et al
03-11-2019	Physics Enhanced Artificial Intelligence by Patrick O'Driscoll et al
03-11-2019	Shapley regressions: A framework for statistical inference on machine learning models by Andreas Joseph
03-07-2019	SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems by Beidi Chen et al
03-06-2019	Adversarial Mixup Resynthesizers by Christopher Beckham et al
03-07-2019	Deep Learning for Channel Coding via Neural Mutual Information Estimation by Rick Fritschek et al
03-07-2019	Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games by Xinliang Song et al
03-07-2019	When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies by Krzysztof Choromanski et al
03-10-2019	Asynchronous Federated Optimization by Cong Xie et al
03-10-2019	Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation by Cong Xie et al
03-08-2019	Learning Heuristics over Large Graphs via Deep Reinforcement Learning by Akash Mittal et al
03-08-2019	Is Deeper Better only when Shallow is Good? by Eran Malach et al
03-11-2019	Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns by Ali Taylan Cemgil et al
03-11-2019	Revisiting clustering as matrix factorisation on the Stiefel manifold by Stéphane Chrétien et al
03-06-2019	A Clustering-Based Combinatorial Approach to Unsupervised Matching of Product Titles by Leonidas Akritidis et al
03-06-2019	Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation by Jiameng Fan et al
03-08-2019	Do we still need fuzzy classifiers for Small Data in the Era of Big Data? by Mikel Elkano et al
03-11-2019	Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft by Clément Romac et al
03-09-2019	Successive Over Relaxation Q-Learning by Chandramouli Kamanchi et al
03-10-2019	Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative by Satyananda Kashyap et al
03-10-2019	Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative by Satyananda Kashyap et al
03-06-2019	Proving the NP-completeness of optimal moral graph triangulation by Yang Li et al
03-06-2019	Neural Empirical Bayes by Saeed Saremi et al
03-08-2019	Low-Rank Tensor Completion via Tensor Ring with Balanced Unfolding by Huyan Huang et al
03-07-2019	MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments by Kenny Young et al
03-07-2019	Phase-aware Speech Enhancement with Deep Complex U-Net by Hyeong-Seok Choi et al
03-08-2019	Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold by Sandesh Adhikary et al
03-06-2019	Positively Scale-Invariant Flatness of ReLU Neural Networks by Mingyang Yi et al
03-09-2019	Orthogonal Estimation of Wasserstein Distances by Mark Rowland et al
03-06-2019	Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction by Matteo Maggiolo et al
03-06-2019	Relational Pooling for Graph Representations by Ryan L. Murphy et al
03-07-2019	Interpretable Deep Learning in Drug Discovery by Kristina Preuer et al
03-07-2019	Doubly Aligned Incomplete Multi-view Clustering by Menglei Hu et al
03-11-2019	Accuracy Booster: Performance Boosting using Feature Map Re-calibration by Pravendra Singh et al
03-08-2019	Should we Reload Time Series Classification Performance Evaluation ? (a position paper) by Dominique Gay et al
03-07-2019	Deep CNN-based Multi-task Learning for Open-Set Recognition by Poojan Oza et al
03-09-2019	Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Methods by Shangsheng Xie et al
03-07-2019	Auto-Vectorizing TensorFlow Graphs: Jacobians, Auto-Batching And Beyond by Ashish Agarwal et al
03-07-2019	Transfer Learning Using Ensemble Neural Nets for Organic Solar Cell Screening by Arindam Paul et al
03-09-2019	A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks by Bin Wang et al
03-06-2019	Learning from Higher-Layer Feature Visualizations by Konstantinos Nikolaidis et al
03-06-2019	GQ-STN: Optimizing One-Shot Grasp Detection based on Robustness Classifier by Alexandre Gariépy et al
03-08-2019	Rates of Convergence for Sparse Variational Gaussian Process Regression by David R. Burt et al
03-07-2019	Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network by Niklas Christoffer Petersen et al
03-08-2019	Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter by Zakaria El Mrabet et al
03-11-2019	Automated Circuit Approximation Method Driven by Data Distribution by Zdenek Vasicek et al
03-09-2019	Machine Learning Based Prediction and Classification of Computational Jobs in Cloud Computing Centers by Zheqi Zhu et al
03-09-2019	Two-Hop Walks Indicate PageRank Order by Ying Tang
03-06-2019	Learning multimodal representations for sample-efficient recognition of human actions by Miguel Vasco et al
03-07-2019	Detection of Advanced Malware by Machine Learning Techniques by Sanjay Sharma et al
03-08-2019	Everything old is new again: A multi-view learning approach to learning using privileged information and distillation by Weiran Wang
03-08-2019	RoPAD: Robust Presentation Attack Detection through Unsupervised Adversarial Invariance by Ayush Jaiswal et al
03-08-2019	Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning by Babak Hosseini et al
03-11-2019	Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics by Denis Steckelmacher et al
03-11-2019	A cross-center smoothness prior for variational Bayesian brain tissue segmentation by Wouter M. Kouw et al
03-07-2019	Multi-Hot Compact Network Embedding by Chaozhuo Li et al
03-09-2019	Robust Influence Maximization for Hyperparametric Models by Dimitris Kalimeris et al
03-06-2019	Deep Random Splines for Point Process Intensity Estimation by Gabriel Loaiza-Ganem et al
03-10-2019	Uncertainty Propagation in Deep Neural Network Using Active Subspace by Weiqi Ji et al
03-10-2019	Sparse Grouped Gaussian Processes for Solar Power Forecasting by Astrid Dahl et al
03-08-2019	Inductive Transfer for Neural Architecture Optimization by Martin Wistuba et al
03-07-2019	Limiting Network Size within Finite Bounds for Optimization by Linu Pinto et al
03-08-2019	Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes by Hirak J Kashyap et al
03-07-2019	Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data by Yiming Xu et al
03-08-2019	Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning by Xiaobai Ma et al
03-10-2019	Optimal Collusion-Free Teaching by David Kirkpatrick et al
03-10-2019	β3β3-IRT: A New Item Response Model and its Applications by Yu Chen et al
03-08-2019	Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network by Wei Shao et al
03-07-2019	Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices by Kouhei Sekiguchi et al
03-10-2019	Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness by Yiming Li et al
03-11-2019	Scaling up deep neural networks: a capacity allocation perspective by Jonathan Donier
03-07-2019	On Transformations in Stochastic Gradient MCMC by Soma Yokoi et al
03-08-2019	Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning by Zeke Wang et al
03-11-2019	An Innovative Word Encoding Method For Text Classification Using Convolutional Neural Network by Amr Adel Helmy et al
03-08-2019	Adaptive Power System Emergency Control using Deep Reinforcement Learning by Qiuhua Huang et al
03-08-2019	Jointly Learning Explainable Rules for Recommendation with Knowledge Graph by Weizhi Ma et al
03-07-2019	Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions by Matthew MacKay et al
03-09-2019	Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes by Xubo Yue et al
03-07-2019	Out-domain examples for generative models by Dario Pasquini et al
03-06-2019	Detecting Overfitting via Adversarial Examples by Roman Werpachowski et al
03-08-2019	Linear Bandits with Feature Feedback by Urvashi Oswal et al
03-07-2019	General Convolutional Sparse Coding with Unknown Noise by Yaqing Wang et al
03-06-2019	Fast Parallel Algorithms for Feature Selection by Sharon Qian et al
03-06-2019	Learning Graphs from Noisy Epidemic Cascades by Jessica Hoffmann et al
03-07-2019	Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples by Eleni Triantafillou et al
03-09-2019	GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks by Rex Ying et al
03-09-2019	Non-Negative Kernel Sparse Coding for the Classification of Motion Data by Babak Hosseini et al
03-08-2019	Learning Self-Game-Play Agents for Combinatorial Optimization Problems by Ruiyang Xu et al
03-11-2019	Fisher-Bures Adversary Graph Convolutional Networks by Ke Sun et al
03-09-2019	Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data by Seokhyun Chung et al
03-09-2019	A tractable ellipsoidal approximation for voltage regulation problems by Pan Li et al
03-06-2019	Orthogonal Structure Search for Efficient Causal Discovery from Observational Data by Anant Raj et al
03-11-2019	HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs by Pravendra Singh et al
03-10-2019	Likelihood-free MCMC with Approximate Likelihood Ratios by Joeri Hermans et al
03-06-2019	Fast Graph Representation Learning with PyTorch Geometric by Matthias Fey et al
03-06-2019	Using World Models for Pseudo-Rehearsal in Continual Learning by Nicholas Ketz et al
03-07-2019	RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems by Ekaterina Abramova et al
03-06-2019	A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder by Adrián Javaloy Bornás et al
03-11-2019	InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction by Anees Kazi et al
03-11-2019	Singing voice conversion with non-parallel data by Xin Chen et al
03-07-2019	Based on Graph-VAE Model to Predict Students Score by Yang Zhang et al
03-10-2019	One-Pass Sparsified Gaussian Mixtures by Eric Kightley et al
03-10-2019	Affordance Learning for End-to-End Visuomotor Robot Control by Aleksi Hämäläinen et al