02.10.19 Learning papers

02-07-2019	Radial and Directional Posteriors for Bayesian Neural Networks by Changyong Oh et al
02-07-2019	Model Selection for Simulator-based Statistical Models: A Kernel Approach by Takafumi Kajihara et al
02-06-2019	Regularizing Generative Models Using Knowledge of Feature Dependence by Naoya Takeishi et al
02-06-2019	CESMA: Centralized Expert Supervises Multi-Agents by Alex Tong Lin et al
02-08-2019	A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning by Yoshihiro Nagano et al
02-06-2019	A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning by Jinshan Zeng et al
02-08-2019	Covariance and Correlation Kernels on a Graph in the Generalized Bag-of-Paths Formalism by Guillaume Guex et al
02-06-2019	The role of a layer in deep neural networks: a Gaussian Process perspective by Oded Ben-David et al
02-08-2019	Non-Stationary Streaming PCA by Daniel Bienstock et al
02-08-2019	Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces by Johannes Kirschner et al
02-08-2019	A Smoother Way to Train Structured Prediction Models by Krishna Pillutla et al
02-07-2019	KLUCB Approach to Copeland Bandits by Nischal Agrawal et al
02-07-2019	Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise by Quentin Bertrand et al
02-07-2019	Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping by Jinyang Yuan et al
02-07-2019	Towards Autoencoding Variational Inference for Aspect-based Opinion Summary by Tai Hoang et al
02-07-2019	Online Clustering by Penalized Weighted GMM by Shlomo Bugdary et al
02-08-2019	Bandit Principal Component Analysis by Wojciech Kotłowski et al
02-08-2019	Using Background Knowledge to Rank Itemsets by Nikolaj Tatti et al
02-08-2019	Tensor Variable Elimination for Plated Factor Graphs by Fritz Obermeyer et al
02-07-2019	Hybrid Models with Deep and Invertible Features by Eric Nalisnick et al
02-07-2019	Combining learning rate decay and weight decay with complexity gradient descent - Part I by Pierre H. Richemond et al
02-06-2019	Adversarial Domain Adaptation for Stance Detection by Brian Xu et al
02-06-2019	On the Variance of Unbiased Online Recurrent Optimization by Tim Cooijmans et al
02-08-2019	Binarized Knowledge Graph Embeddings by Koki Kishimoto et al
02-08-2019	Improving Consequential Decision Making under Imperfect Predictions by Niki Kilbertus et al
02-08-2019	Adversarial Initialization -- when your network performs the way I want by Kathrin Grosse et al
02-07-2019	Graph Classification with Recurrent Variational Neural Networks by Edouard Pineau et al
02-06-2019	Centroid-based deep metric learning for speaker recognition by Jixuan Wang et al
02-06-2019	DiffEqFlux.jl - A Julia Library for Neural Differential Equations by Chris Rackauckas et al
02-07-2019	Predict Globally, Correct Locally: Parallel-in-Time Optimal Control of Neural Networks by Panos Parpas et al
02-07-2019	Learning Distributions from their Samples under Communication Constraints by Leighton Pate Barnes et al
02-07-2019	Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach by Silviu Pitis
02-06-2019	A Bayesian Approach for Accurate Classification-Based Aggregates by Q. A. Meertens et al
02-06-2019	Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives by Tinu Theckel Joy et al
02-06-2019	On the asymptotic optimality of the comb strategy for prediction with expert advice by Erhan Bayraktar et al
02-06-2019	Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers by Leonid Gremyachikh et al
02-08-2019	Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops by Limor Gultchin et al
02-07-2019	Random Matrix Improved Covariance Estimation for a Large Class of Metrics by Malik Tiomoko et al
02-06-2019	Principal Model Analysis Based on Partial Least Squares by Qiwei Xie et al
02-08-2019	Differentiable Physics-informed Graph Networks by Sungyong Seo et al
02-08-2019	Correlated bandits or: How to minimize mean-squared error online by Vinay Praneeth Boda et al
02-08-2019	Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap by Edwin Fong et al
02-08-2019	Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis by Danilo Vasconcellos Vargas et al
02-06-2019	Fooling Neural Network Interpretations via Adversarial Model Manipulation by Juyeon Heo et al
02-06-2019	A Scale Invariant Flatness Measure for Deep Network Minima by Akshay Rangamani et al
02-08-2019	EILearn: Learning Incrementally Using Previous Knowledge Obtained From an Ensemble of Classifiers by Shivang Agarwal et al
02-07-2019	Generating the support with extreme value losses by Nicholas Guttenberg
02-08-2019	Distributional reinforcement learning with linear function approximation by Marc G. Bellemare et al
02-06-2019	Decentralized Flood Forecasting Using Deep Neural Networks by Muhammed Sit et al
02-06-2019	Deep CSI Learning for Gait Biometric Sensing and Recognition by Kalvik Jakkala et al
02-06-2019	Neural Network Attributions: A Causal Perspective by Aditya Chattopadhyay et al
02-06-2019	Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation by Shaofeng Zou et al
02-06-2019	Dynamic Pricing for Airline Ancillaries with Customer Context by Naman Shukla et al
02-06-2019	Transfer Learning From Sound Representations For Anger Detection in Speech by Mohamed Ezzeldin A. ElShaer et al
02-06-2019	Un mod\`ele Bay\esien de co-clustering de donn\ees mixtes by Aichetou Bouchareb et al
02-06-2019	Effectiveness of LSTMs in Predicting Congestive Heart Failure Onset by Sunil Mallya et al
02-06-2019	Artificial Intelligence for Prosthetics - challenge solutions by Łukasz Kidziński et al
02-07-2019	Multi-task Learning for Target-dependent Sentiment Classification by Divam Gupta et al
02-07-2019	A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software by Serena E. Ponta et al
02-07-2019	Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis by Adrien Lagrange et al
02-08-2019	Discretization based Solutions for Secure Machine Learning against Adversarial Attacks by Priyadarshini Panda et al
02-06-2019	Semi-Supervised Learning by Label Gradient Alignment by Jacob Jackson et al
02-08-2019	Size Independent Neural Transfer for RDDL Planning by Sankalp Garg et al
02-07-2019	Hide and Speak: Deep Neural Networks for Speech Steganography by Felix Kreuk et al
02-06-2019	Robust One-Class Kernel Spectral Regression by Shervin Rahimzadeh Arashloo et al
02-06-2019	Mol-CycleGAN - a generative model for molecular optimization by Łukasz Maziarka et al
02-06-2019	Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models by Max F. Frenzel et al
02-06-2019	End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification by Hee-Soo Heo et al
02-06-2019	Theoretical analysis on Noise2Noise using Steins Unbiased Risk Estimator for Gaussian denoising: Towards unsupervised training with clipped noisy images by Magauiya Zhussip et al
02-07-2019	StampNet: unsupervised multi-class object discovery by Joost Visser et al
02-07-2019	The few-get-richer: a surprising consequence of popularity-based rankings by Fabrizio Germano et al
02-06-2019	Is AmI (Attacks Meet Interpretability) Robust to Adversarial Examples? by Nicholas Carlini
02-08-2019	Stimulating STDP to Exploit Locality for Lifelong Learning without Catastrophic Forgetting by Jason M. Allred et al
02-06-2019	BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling by Lars Maaløe et al
02-07-2019	AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling by Ting-Wu Chin et al
02-07-2019	Bounds for the VC Dimension of 1NN Prototype Sets by Iain A. D. Gunn et al
02-07-2019	Deeper & Sparser Exploration by Divya Grover et al
02-07-2019	Certified Adversarial Robustness via Randomized Smoothing by Jeremy M Cohen et al
02-07-2019	Crop Yield Prediction Using Deep Neural Networks by Saeed Khaki et al
02-06-2019	Negative eigenvalues of the Hessian in deep neural networks by Guillaume Alain et al
02-06-2019	Unsupervised Polyglot Text To Speech by Eliya Nachmani et al
02-08-2019	Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications by Panagiotis G. Mousouliotis et al
02-08-2019	Speaker diarisation using 2D self-attentive combination of embeddings by Guangzhi Sun et al
02-07-2019	BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning by Asa Cooper Stickland et al
02-07-2019	Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems by Chinmay S. Kulkarni
02-07-2019	Momentum Schemes with Stochastic Variance Reduction for Nonconvex Composite Optimization by Yi Zhou et al
02-07-2019	A Simple Baseline for Bayesian Uncertainty in Deep Learning by Wesley Maddox et al
02-07-2019	Source Traces for Temporal Difference Learning by Silviu Pitis
02-07-2019	Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach by Xilei Zhao et al
02-07-2019	Conv-codes: Audio Hashing For Bird Species Classification by Anshul Thakur et al
02-07-2019	Dual-Reference Design for Holographic Coherent Diffraction Imaging by David A. Barmherzig et al
02-07-2019	Cost-Effective Incentive Allocation via Structured Counterfactual Inference by Romain Lopez et al
02-07-2019	CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural Networks by Xinrui Cui et al
02-06-2019	Speeding up scaled gradient projection methods using deep neural networks for inverse problems in image processing by Byung Hyun Lee et al
02-08-2019	K-nn active learning under local smoothness condition by Boris Ndjia Njike et al
02-07-2019	Adaptive Posterior Learning: few-shot learning with a surprise-based memory module by Tiago Ramalho et al
02-07-2019	Mode Collapse and Regularity of Optimal Transportation Maps by Na lei et al
02-07-2019	ML Health: Fitness Tracking for Production Models by Sindhu Ghanta et al
02-06-2019	Distilling Policy Distillation by Wojciech Marian Czarnecki et al
02-08-2019	A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat by Ross Harper et al
02-08-2019	Partial Label Learning with Self-Guided Retraining by Lei Feng et al
02-08-2019	Collaboration based Multi-Label Learning by Lei Feng et al
02-08-2019	Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance by Ulysse Marteau-Ferey et al
02-06-2019	Equal Opportunity in Online Classification with Partial Feedback by Yahav Bechavod et al
02-06-2019	Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case by Alina Beygelzimer et al
02-06-2019	Generative Image Translation for Data Augmentation of Bone Lesion Pathology by Anant Gupta et al
02-06-2019	Toward A Neuro-inspired Creative Decoder by Payel Das et al
02-07-2019	Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model by Jianwen Xie et al
02-08-2019	Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization by Ankur Padia et al
02-06-2019	Global Explanations of Neural Networks: Mapping the Landscape of Predictions by Mark Ibrahim et al
02-06-2019	Compression of Recurrent Neural Networks for Efficient Language Modeling by Artem M. Grachev et al
02-06-2019	End-to-end Anchored Speech Recognition by Yiming Wang et al
02-06-2019	Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling by Hao Wang et al
02-06-2019	Common Mode Patterns for Supervised Tensor Subspace Learning by Konstantinos Makantasis et al
02-07-2019	Metaoptimization on a Distributed System for Deep Reinforcement Learning by Greg Heinrich et al
02-06-2019	SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only by Mario Zusag et al
02-07-2019	DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling by Sunghwan Joo et al
02-07-2019	Compatible Natural Gradient Policy Search by Joni Pajarinen et al
02-07-2019	Low-cost Measurement of Industrial Shock Signals via Deep Learning Calibration by Houpu Yao et al
02-08-2019	Bounded Fuzzy Possibilistic Method by Hossein Yazdani
02-07-2019	Heterogeneous Edge Embeddings for Friend Recommendation by Janu Verma et al
02-07-2019	High-performance stock index trading: making effective use of a deep LSTM neural network by Chariton Chalvatzis et al
02-06-2019	Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks by Amirata Ghorbani et al
02-08-2019	A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans by Onur Ozdemir et al
02-08-2019	Hierarchical Critics Assignment for Multi-agent Reinforcement Learning by Zehong Cao et al