2019.05.05 Learning papers

05-01-2019	Information-Theoretic Considerations in Batch Reinforcement Learning by Jinglin Chen et al
05-01-2019	Similarity of Neural Network Representations Revisited by Simon Kornblith et al
05-02-2019	Self-supervised Learning for Video Correspondence Flow by Zihang Lai et al
05-01-2019	NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks by Yandong Li et al
05-02-2019	26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone by Wei Niu et al
05-01-2019	Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving by Sascha Rosbach et al
05-01-2019	Context-Dependent Semantic Parsing over Temporally Structured Data by Charles Chen et al
05-01-2019	Automated Machine Learning via ADMM by Sijia Liu et al
04-30-2019	MixHop: Higher-Order Graph Convolution Architectures via Sparsified Neighborhood Mixing by Sami Abu-El-Haija et al
05-02-2019	Full-Jacobian Representation of Neural Networks by Suraj Srinivas et al
05-01-2019	Fast AutoAugment by Sungbin Lim et al
05-02-2019	Estimating Kullback-Leibler Divergence Using Kernel Machines by Kartik Ahuja
05-02-2019	Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size! by Niels Bruun Ipsen et al
04-30-2019	RadiX-Net: Structured Sparse Matrices for Deep Neural Networks by Ryan A. Robinett et al
05-01-2019	High-Performance Support Vector Machines and Its Applications by Taiping He et al
05-02-2019	Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding by Jihwan Lee et al
04-30-2019	AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles by Charles Weill et al
04-30-2019	Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions by Azadeh Sadat Mozafari et al
05-02-2019	Clustering Images by Unmasking - A New Baseline by Mariana-Iuliana Georgescu et al
05-02-2019	Deep Generative Models for Sparse, High-dimensional, and Overdispersed Discrete Data by He Zhao et al
05-02-2019	Long term impact of fair machine learning in sequential decision making: representation disparity and group retention by Xueru Zhang et al
05-01-2019	Semi-Conditional Normalizing Flows for Semi-Supervised Learning by Andrei Atanov et al
05-01-2019	Automatic Dataset Augmentation Using Virtual Human Simulation by Marcelo C. Ghilardi et al
05-01-2019	Full-stack Optimization for Accelerating CNNs with FPGA Validation by Bradley McDanel et al
04-30-2019	Harmonic Networks with Limited Training Samples by Matej Ulicny et al
04-30-2019	Object Contour and Edge Detection with RefineContourNet by Andre Peter Kelm et al
05-01-2019	Dropping Pixels for Adversarial Robustness by Hossein Hosseini et al
05-02-2019	Argument Identification in Public Comments from eRulemaking by Vlad Eidelman et al
04-30-2019	To believe or not to believe: Validating explanation fidelity for dynamic malware analysis by Li Chen et al
05-02-2019	Stability and Generalization of Graph Convolutional Neural Networks by Saurabh Verma et al
04-30-2019	Graph Convolutional Networks with EigenPooling by Yao Ma et al
05-03-2019	Information asymmetry in KL-regularized RL by Alexandre Galashov et al
04-30-2019	Ensemble Distribution Distillation by Andrey Malinin et al
05-01-2019	Efficient Model-free Reinforcement Learning in Metric Spaces by Zhao Song et al
04-30-2019	Personalized Ranking in eCommerce Search by Grigor Aslanyan et al
05-02-2019	Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity by Ehsan Kazemi et al
05-03-2019	Locally Differentially Private Naive Bayes Classification by Emre Yilmaz et al
05-02-2019	Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality by Sukarna Barua et al
04-30-2019	GaborNet: Gabor filters with learnable parameters in deep convolutional neural networks by Andrey Alekseev et al
04-30-2019	Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation by Marjan Alirezaie et al
05-03-2019	Scaling and Benchmarking Self-Supervised Visual Representation Learning by Priya Goyal et al
04-30-2019	Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning by Kacper Kielak
04-30-2019	On Scalable and Efficient Computation of Large Scale Optimal Transport by Yujia Xie et al
04-30-2019	Source Coding Based mmWave Channel Estimation with Deep Learning Based Decoding by Yahia Shabara et al
05-01-2019	Interpretable multiclass classification by MDL-based rule lists by Hugo M. Proença et al
05-03-2019	Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning by Spyros Gidaris et al
05-03-2019	Uncertainty-Aware Principal Component Analysis by Jochen Görtler et al
05-03-2019	Compressibility Loss for Neural Network Weights by Caglar Aytekin et al
05-02-2019	Synthetic Oversampling of Multi-Label Data based on Local Label Distribution by Bin Liu et al
05-01-2019	On Expected Accuracy by Ozan İrsoy
05-01-2019	Restricted Connection Orthogonal Matching Pursuit For Sparse Subspace Clustering by Wenqi Zhu et al
05-02-2019	Weight Map Layer for Noise and Adversarial Attack Robustness by Mohammed Amer et al
05-01-2019	LS-SVR as a Bayesian RBF network by Diego P. P. Mesquita et al
04-30-2019	A scalable saliency-based Feature selection method with instance level information by Brais Cancela et al
05-02-2019	Deep Learning in Alzheimers Disease: Diagnostic Classification using Neuroimaging Data by Taeho Jo et al
04-30-2019	Model Comparison for Semantic Grouping by Francisco Vargas et al
04-30-2019	Dont Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors by Vitalii Zhelezniak et al
05-02-2019	Human Activity Recognition Using LSTM-RNN Deep Neural Network Architecture by Schalk Wilhelm Pienaar et al
05-02-2019	Mimic Learning to Generate a Shareable Network Intrusion Detection Model by Ahmed Shafee et al
05-02-2019	Three-Stage Subspace Clustering Framework with Graph-Based Transformation and Optimization by Shuai Yang et al
04-30-2019	Sequence to sequence deep learning models for solar irradiation forecasting by Bhaskar Pratim Mukhoty et al
04-30-2019	The Level Weighted Structural Similarity Loss: A Step Away from the MSE by Yingjing Lu
04-30-2019	PR Product: A Substitute for Inner Product in Neural Networks by Zhennan Wang et al
05-02-2019	Generative Adversarial Network for Wireless Signal Spoofing by Yi Shi et al
05-01-2019	Introducing Graph Smoothness Loss for Training Deep Learning Architectures by Myriam Bontonou et al
05-02-2019	Adversarial Training with Voronoi Constraints by Marc Khoury et al
05-01-2019	Surface Type Classification for Autonomous Robot Indoor Navigation by Francesco Lomio et al
05-01-2019	A Unified Deep Learning Formalism For Processing Graph Signals by Myriam Bontonou et al
05-01-2019	Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning by Mohammad Jafari et al
05-02-2019	A tutorial on recursive models for analyzing and predicting path choice behavior by Maëlle Zimmermann et al
05-03-2019	Convolution is outer product by Jean-Marc Andreoli
05-03-2019	Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms by Ahmed A. Elsayed et al
05-02-2019	A Fuzzy Inference System for the Identification by Jose de Jesus Rubio et al
05-03-2019	Group Emotion Recognition Using Machine Learning by Samanyou Garg
05-01-2019	Learning higher-order sequential structure with cloned HMMs by Antoine Dedieu et al
05-01-2019	Recombinator-k-means: Enhancing k-means++ by seeding from pools of previous runs by Carlo Baldassi
05-01-2019	Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless Networks by Chiranjib Saha et al
05-02-2019	Temporal Ordered Clustering in Dynamic Networks by Krzysztof Turowski et al
04-30-2019	Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks by Gauthier Gidel et al
04-30-2019	Towards Sampling from Nondirected Probabilistic Graphical models using a D-Wave Quantum Annealer by Yaroslav Koshka et al
04-30-2019	Structured Prediction using cGANs with Fusion Discriminator by Faisal Mahmood et al
05-02-2019	Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices by Yu Gan et al
04-30-2019	Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration by Shuhan Tan et al
05-01-2019	A Novel Trend Symbolic Aggregate Approximation for Time Series by Yufeng Yu et al
04-30-2019	Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data by Xin Du et al
04-30-2019	Active Manifolds: A non-linear analogue to Active Subspaces by Robert A. Bridges et al
04-30-2019	Learning Fair Representations via an Adversarial Framework by Rui Feng et al
04-30-2019	Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator by James Bocinsky et al
04-30-2019	Elo ratings applied to TopCoder SRM by Fred Batty et al
05-01-2019	A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor by Di Sheng et al
04-30-2019	Factor Analysis in Fault Diagnostics Using Random Forest by Nagdev Amruthnath et al
05-02-2019	Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars by Alexandros Kouris et al
05-02-2019	Speed-up and multi-view extensions to Subclass Discriminant Analysis by Kateryna Chumachenko et al
05-03-2019	Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM by Vibhatha Abeykoon et al
05-02-2019	Parity Models: A General Framework for Coding-Based Resilience in ML Inference by Jack Kosaian et al
04-30-2019	Risk-Averse Explore-Then-Commit Algorithms for Finite-Time Bandits by Ali Yekkehkhany et al
04-30-2019	Multimodal Classification of Urban Micro-Events by Maarten Sukel et al
04-30-2019	An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks by Emad-ul-Haq Qazi et al
05-02-2019	Spectrum-enhanced Pairwise Learning to Rank by Wenhui Yu et al