2019.07.14 Learning papers

07-10-2019	Large Memory Layers with Product Keys by Guillaume Lample et al
07-10-2019	LakhNES: Improving multi-instrumental music generation with cross-domain pre-training by Chris Donahue et al
07-10-2019	Sparse Networks from Scratch: Faster Training without Losing Performance by Tim Dettmers et al
07-11-2019	Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges by Naveen Arivazhagan et al
07-10-2019	Striving for Simplicity in Off-policy Deep Reinforcement Learning by Rishabh Agarwal et al
07-12-2019	R-Transformer: Recurrent Neural Network Enhanced Transformer by Zhiwei Wang et al
07-11-2019	Learning to learn with quantum neural networks via classical neural networks by Guillaume Verdon et al
07-10-2019	Variational Autoencoders and Nonlinear ICA: A Unifying Framework by Ilyes Khemakhem et al
07-11-2019	Adversarial Objects Against LiDAR-Based Autonomous Driving Systems by Yulong Cao et al
07-11-2019	Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure by Saeedeh Parsaeefard et al
07-11-2019	Making AI Forget You: Data Deletion in Machine Learning by Antonio Ginart et al
07-11-2019	Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences by Mathias Kraus et al
07-10-2019	Can Unconditional Language Models Recover Arbitrary Sentences? by Nishant Subramani et al
07-09-2019	M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention by Shuang Ma et al
07-09-2019	Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model by Guodong Zhang et al
07-09-2019	Deep Probabilistic Modeling of Glioma Growth by Jens Petersen et al
07-11-2019	Activitynet 2019 Task 3: Exploring Contexts for Dense Captioning Events in Videos by Shizhe Chen et al
07-10-2019	Interpretable Dynamics Models for Data-Efficient Reinforcement Learning by Markus Kaiser et al
07-09-2019	Multivariate Time Series Imputation with Variational Autoencoders by Vincent Fortuin et al
07-11-2019	Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology by Nima Dehmamy et al
07-09-2019	Characterization of Overlap in Observational Studies by Fredrik D. Johansson et al
07-11-2019	Deep Active Learning for Axon-Myelin Segmentation on Histology Data by Melanie Lubrano di Scandalea et al
07-09-2019	Ranking-Based Reward Extrapolation without Rankings by Daniel S. Brown et al
07-12-2019	Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling by Yuping Luo et al
07-10-2019	Explaining an increase in predicted risk for clinical alerts by Michaela Hardt et al
07-11-2019	Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data by Kanwal K. Bhatia et al
07-10-2019	Deep Multi Label Classification in Affine Subspaces by Thomas Kurmann et al
07-10-2019	A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning by Nicholas C. Landolfi et al
07-11-2019	Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning by Abhinav Verma et al
07-10-2019	Diverse Trajectory Forecasting with Determinantal Point Processes by Ye Yuan et al
07-12-2019	Virtual Adversarial Lipschitz Regularization by Dávid Terjék
07-09-2019	ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation by Hainan Zhang et al
07-10-2019	Out-of-Distribution Detection Using Neural Rendering Generative Models by Yujia Huang et al
07-11-2019	Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR by Tarlan Suleymanov et al
07-12-2019	Justifying Diagnosis Decisions by Deep Neural Networks by Graham Spinks et al
07-11-2019	Safe Policy Improvement with Soft Baseline Bootstrapping by Kimia Nadjahi et al
07-09-2019	Influence of Pointing on Learning to Count: A Neuro-Robotics Model by Leszek Pecyna et al
07-09-2019	To Tune or Not To Tune? How About the Best of Both Worlds? by Ran Wang et al
07-11-2019	PreCall: A Visual Interface for Threshold Optimization in ML Model Selection by Christoph Kinkeldey et al
07-09-2019	A Deep Neural Network for Finger Counting and Numerosity Estimation by Leszek Pecyna et al
07-09-2019	GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing by Jian Guo et al
07-11-2019	Warfarin dose estimation on multiple datasets with automated hyperparameter optimisation and a novel software framework by Gianluca Truda et al
07-09-2019	k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport by Luca Ambrogioni et al
07-09-2019	Mean Spectral Normalization of Deep Neural Networks for Embedded Automation by Anand Krishnamoorthy Subramanian et al
07-10-2019	DeepXDE: A deep learning library for solving differential equations by Lu Lu et al
07-09-2019	The What-If Tool: Interactive Probing of Machine Learning Models by James Wexler et al
07-10-2019	A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts by Jiahuan Pei et al
07-12-2019	Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia by Usman Nazir et al
07-11-2019	retina-VAE: Variationally Decoding the Spectrum of Macular Disease by Stephen G. Odaibo
07-11-2019	Profiling based Out-of-core Hybrid Method for Large Neural Networks by Yuki Ito et al
07-10-2019	Super-resolution meets machine learning: approximation of measures by H. N. Mhaskar
07-09-2019	Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function by Mojtaba Nayyeri et al
07-11-2019	Single Image Super-Resolution via CNN Architectures and TV-TV Minimization by Marija Vella et al
07-09-2019	A Light weight and Hybrid Deep Learning Model based Online Signature Verification by Chandra Sekhar V. et al
07-12-2019	Gated-SCNN: Gated Shape CNNs for Semantic Segmentation by Towaki Takikawa et al
07-12-2019	Augmenting Neural Nets with Symbolic Synthesis: Applications to Few-Shot Learning by Adithya Murali et al
07-09-2019	Neural Input Search for Large Scale Recommendation Models by Manas R. Joglekar et al
07-11-2019	Time2Vec: Learning a Vector Representation of Time by Seyed Mehran Kazemi et al
07-12-2019	Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction by Vikash Singh et al
07-09-2019	Sequence-to-Sequence Natural Language to Humanoid Robot Sign Language by Jennifer J. Gago et al
07-10-2019	A Projectional Ansatz to Reconstruction by Sören Dittmer et al
07-12-2019	Learning Functions over Sets via Permutation Adversarial Networks by Chirag Pabbaraju et al
07-10-2019	GraphSAINT: Graph Sampling Based Inductive Learning Method by Hanqing Zeng et al
07-11-2019	Quantum and Classical Algorithms for Approximate Submodular Function Minimization by Yassine Hamoudi et al
07-10-2019	Learning to Reason with Relational Video Representation for Question Answering by Thao Minh Le et al
07-10-2019	User Preference Prediction in Visual Data on Mobile Devices by A. V. Savchenko et al
07-09-2019	UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference by William R. Kearns et al
07-12-2019	PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search by Yuhui Xu et al
07-12-2019	Generative Modeling by Estimating Gradients of the Data Distribution by Yang Song et al
07-10-2019	An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies by Mirco Mutti et al
07-11-2019	Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning by Jianhong Wang et al
07-11-2019	Learning Key-Value Store Design by Stratos Idreos et al
07-09-2019	Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning by Michael Lutter et al
07-11-2019	Analysis of Wards Method by Anna Großwendt et al
07-09-2019	Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering by Pedro F. Proenca et al
07-09-2019	Deep Reinforcement Learning in Financial Markets by Souradeep Chakraborty
07-11-2019	MLR (Memory, Learning and Recognition): A General Cognitive Model -- applied to Intelligent Robots and Systems Control by Aras R. Dargazany
07-09-2019	Global Optimality Guarantees for Nonconvex Unsupervised Video Segmentation by Brendon G. Anderson et al
07-10-2019	RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies by Hao-Tien Lewis Chiang et al
07-10-2019	Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks by Yuanzhi Li et al
07-12-2019	Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model by Alireza Ghods et al
07-11-2019	DisCoRL: Continual Reinforcement Learning via Policy Distillation by René Traoré et al
07-09-2019	All Sparse PCA Models Are Wrong, But Some Are Useful. Part I: Computation of Scores, Residuals and Explained Variance by J. Camacho et al
07-12-2019	Saliency Maps Generation for Automatic Text Summarization by David Tuckey et al
07-11-2019	Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn by Ziv Katzir et al
07-12-2019	Deep Learning with ConvNET Predicts Imagery Tasks Through EEG by Apdullah Yayık et al
07-09-2019	Coarse Graining of Data via Inhomogeneous Diffusion Condensation by Nathan Brugnone et al
07-10-2019	A Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles by Konstantinos Makantasis et al
07-12-2019	Effective Incorporation of Speaker Information in Utterance Encoding in Dialog by Tianyu Zhao et al
07-10-2019	Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders by Helena Andrés-Terré et al
07-12-2019	Laplacian-regularized graph bandits: Algorithms and theoretical analysis by Kaige Yang et al
07-09-2019	On Activation Function Coresets for Network Pruning by Ben Mussay et al
07-11-2019	Beyond Imitation: Generative and Variational Choreography via Machine Learning by Mariel Pettee et al
07-09-2019	Transfer Learning from Audio-Visual Grounding to Speech Recognition by Wei-Ning Hsu et al
07-09-2019	Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference by Christian Wachinger et al
07-11-2019	Hybrid Residual Attention Network for Single Image Super Resolution by Abdul Muqeet et al
07-11-2019	Computational Concentration of Measure: Optimal Bounds, Reductions, and More by Omid Etesami et al
07-11-2019	Amplifying R\enyi Differential Privacy via Shuffling by Eloïse Berthier et al
07-09-2019	A New Benchmark and Approach for Fine-grained Cross-media Retrieval by Xiangteng He et al
07-09-2019	Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping by Shuai Ma et al
07-11-2019	Predicting engagement in online social networks: Challenges and opportunities by Farig Sadeque et al
07-12-2019	Stateful Detection of Black-Box Adversarial Attacks by Steven Chen et al
07-09-2019	Template-Based Posit Multiplication for Training and Inferring in Neural Networks by Raúl Murillo Montero et al
07-10-2019	Video Action Recognition Via Neural Architecture Searching by Wei Peng et al
07-11-2019	Three algorithms for solving high-dimensional fully-coupled FBSDEs through deep learning by Shaolin Ji et al
07-11-2019	Spatiotemporal Local Propagation by Alessandro Betti et al
07-09-2019	Multi-Speaker End-to-End Speech Synthesis by Jihyun Park et al
07-11-2019	Provably Efficient Reinforcement Learning with Linear Function Approximation by Chi Jin et al
07-09-2019	Scaling Limit of Neural Networks with the Xavier Initialization and Convergence to a Global Minimum by Justin Sirignano et al
07-12-2019	Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks by Giorgos Bouritsas et al
07-10-2019	Data-driven Policy on Feasibility Determination for the Train Shunting Problem by Paulo R. de O. da Costa et al
07-12-2019	Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification by Kaisheng Gao et al
07-10-2019	Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments by Congcong Liu et al
07-09-2019	SVGD: A Virtual Gradients Descent Method for Stochastic Optimization by Zheng Li et al
07-09-2019	Dreaming machine learning: Lipschitz extensions for reinforcement learning on financial markets by J. M. Calabuig et al
07-12-2019	Neural News Recommendation with Attentive Multi-View Learning by Chuhan Wu et al
07-10-2019	Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version) by Bernhard K. Aichernig et al
07-09-2019	PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks by Sean Bin Yang et al
07-09-2019	A Conformance Checking-based Approach for Drift Detection in Business Processes by Víctor Gallego-Fontenla et al
07-09-2019	Learning to Optimize Domain Specific Normalization for Domain Generalization by Seonguk Seo et al
07-10-2019	Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations by Rohan Reddy Mekala et al
07-11-2019	Faster Neural Network Training with Data Echoing by Dami Choi et al
07-09-2019	Identifying Linear Models in Multi-Resolution Population Data using Minimum Description Length Principle to Predict Household Income by Chainarong Amornbunchornvej et al
07-09-2019	Nonnegative Matrix Factorization with Local Similarity Learning by Chong Peng et al
07-11-2019	Grounding Value Alignment with Ethical Principles by Tae Wan Kim et al
07-11-2019	On the Optimality of Trees Generated by ID3 by Alon Brutzkus et al
07-11-2019	Machine Learning Kernel Method from a Quantum Generative Model by Przemysław Sadowski
07-10-2019	Neural Network-based Equalizer by Utilizing Coding Gain in Advance by Chieh-Fang Teng et al
07-09-2019	Characterizing Inter-Layer Functional Mappings of Deep Learning Models by Donald Waagen et al
07-09-2019	Positional Normalization by Boyi Li et al
07-10-2019	Simple Kinematic Feedback Enhances Autonomous Learning in Bio-Inspired Tendon-Driven Systems by Ali Marjaninejad et al
07-11-2019	Minimizers of the Empirical Risk and Risk Monotonicity by Marco Loog et al
07-10-2019	Haar Transforms for Graph Neural Networks by Ming Li et al
07-09-2019	Security for Distributed Deep Neural Networks Towards Data Confidentiality & Intellectual Property Protection by Laurent Gomez et al
07-12-2019	Dual Extrapolation for Sparse Generalized Linear Models by Mathurin Massias et al
07-11-2019	A Neural Architecture for Designing Truthful and Efficient Auctions by Andrea Tacchetti et al
07-11-2019	The Landscape of Non-convex Empirical Risk with Degenerate Population Risk by Shuang Li et al
07-12-2019	Exploration by Optimisation in Partial Monitoring by Tor Lattimore et al
07-11-2019	Privileged Features Distillation for E-Commerce Recommendations by Chen Xu et al
07-12-2019	Equiprobable mappings in weighted constraint grammars by Arto Anttila et al
07-11-2019	Gain with no Pain: Efficient Kernel-PCA by Nystr\om Sampling by Nicholas Sterge et al
07-10-2019	Label Aware Graph Convolutional Network -- Not All Edges Deserve Your Attention by Hao Chen et al
07-12-2019	Learning a Static Bug Finder from Data by Yu Wang et al
07-11-2019	Fairness without Regret by Marcus Hutter
07-11-2019	Adaptive Deep Learning for High Dimensional Hamilton-Jacobi-Bellman Equations by Tenavi Nakamura-Zimmerer et al
07-12-2019	Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location by Andrea Lodi et al
07-09-2019	Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics by Nicholas Collins et al
07-10-2019	Productization Challenges of Contextual Multi-Armed Bandits by David Abensur et al
07-10-2019	Two-block vs. Multi-block ADMM: An empirical evaluation of convergence by Andre Goncalves et al
07-10-2019	Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference by Yue Wang et al
07-09-2019	Conditional Independence Testing using Generative Adversarial Networks by Alexis Bellot et al
07-10-2019	Multi-layer Attention Mechanism for Speech Keyword Recognition by Ruisen Luo et al
07-12-2019	Improving the Projection of Global Structures in Data through Spanning Trees by Daniel Alcaide et al
07-10-2019	DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances by Tianming Wang et al
07-11-2019	Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction by Weiming Zhi et al
07-10-2019	A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition by Wei Zhang et al
07-11-2019	Online Learning to Estimate Warfarin Dose with Contextual Linear Bandits by Hai Xiao
07-09-2019	A Stochastic First-Order Method for Ordered Empirical Risk Minimization by Kenji Kawaguchi et al
07-09-2019	Deep Learning Techniques for Improving Digital Gait Segmentation by Matteo Gadaleta et al
07-11-2019	Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks by Diego Perna et al
07-09-2019	Tails of Triangular Flows by Priyank Jaini et al
07-09-2019	Improving the Performance of the LSTM and HMM Models via Hybridization by Larkin Liu et al
07-09-2019	Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks by Cheng He et al
07-09-2019	Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems by Michael Lutter et al
07-10-2019	Assessing Transferability from Simulation to Reality for Reinforcement Learning by Fabio Muratore et al
07-09-2019	Contextual One-Class Classification in Data Streams by Richard Hugh Moulton et al
07-09-2019	Tensor p-shrinkage nuclear norm for low-rank tensor completion by Chunsheng Liu et al
07-11-2019	Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects by Arthur Jacot et al
07-09-2019	StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision by Ankit Gupta
07-09-2019	A divide-and-conquer algorithm for binary matrix completion by Melanie Beckerleg et al
07-10-2019	Time series cluster kernels to exploit informative missingness and incomplete label information by Karl Øyvind Mikalsen et al
07-11-2019	Change point detection for graphical models in presence of missing values by Malte Londschien et al
07-10-2019	Towards Affordance Prediction with Vision via Task Oriented Grasp Quality Metrics by Luca Cavalli et al
07-11-2019	Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification by Felix Batsch et al
07-09-2019	Convergence Rates for Gaussian Mixtures of Experts by Nhat Ho et al
07-10-2019	Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition by Xiaodong Cui et al
07-12-2019	Mercem: Method Name Recommendation Based on Call Graph Embedding by Hiroshi Yonai et al
07-11-2019	Low-rank matrix completion and denoising under Poisson noise by Andrew D. McRae et al
07-12-2019	Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams by Harishchandra Dubey et al
07-10-2019	Trust-Region Variational Inference with Gaussian Mixture Models by Oleg Arenz et al
07-10-2019	On Designing Machine Learning Models for Malicious Network Traffic Classification by Talha Ongun et al
07-10-2019	Neural Networks as Explicit Word-Based Rules by Jindřich Libovický
07-10-2019	Bayesian Optimization in Variational Latent Spaces with Dynamic Compression by Rika Antonova et al
07-11-2019	Wind Estimation Using Quadcopter Motion: A Machine Learning Approach by Sam Allison et al
07-10-2019	Quantifying Error in the Presence of Confounders for Causal Inference by Rathin Desai et al
07-09-2019	Unified Optimal Analysis of the (Stochastic) Gradient Method by Sebastian U. Stich
07-09-2019	Incremental Semantic Mapping with Unsupervised On-line Learning by Ygor C. N. Sousa et al
07-09-2019	Application Inference using Machine Learning based Side Channel Analysis by Nikhil Chawla et al
07-09-2019	Improving Reverberant Speech Training Using Diffuse Acoustic Simulation by Zhenyu Tang et al
07-10-2019	Learning the Wireless V2I Channels Using Deep Neural Networks by Tian-Hao Li et al
07-09-2019	Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls by Nicholas Meade et al
07-10-2019	Generalized Rank Minimization based Group Sparse Coding for Low-level Image Restoration via Dictionary Learning by Yunyi Li et al
07-09-2019	Model Development Process by Przemyslaw Biecek
07-10-2019	Markov Decision Process for MOOC users behavioral inference by Firas Jarboui et al