2019.03.31 Learning papers

03-29-2019	Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds by Masafumi Yamazaki et al	Distributed & Software	178
03-27-2019	Wasserstein Dependency Measure for Representation Learning by Sherjil Ozair et al	GANs & Generative Adversarial Networks	107
03-27-2019	How Can We Be So Dense? The Benefits of Using Highly Sparse Representations by Subutai Ahmad et al	Dictionary Learning & Sparse Coding	51
03-26-2019	What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival by Stephen Baek et al	Image Segmentation & Cancer	40
03-28-2019	Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization by Evan N. Feinberg et al	Prediction & Forecasting	38
03-28-2019	Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation by Xueying Chen et al	Image Segmentation & Cancer	30
03-28-2019	Distilling Task-Specific Knowledge from BERT into Simple Neural Networks by Raphael Tang et al	Natural Language & Word Embeddings	27
03-28-2019	A Survey on Graph Kernels by Nils M. Kriege et al	Graph Convolutional Networks & Graph Neural Networks	26
03-28-2019	Model Vulnerability to Distributional Shifts over Image Transformation Sets by Riccardo Volpi et al	Image Segmentation & Cancer	25
03-26-2019	Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer by Felix Petersen et al	Image Segmentation & Cancer	25
03-28-2019	Learning Discrete Structures for Graph Neural Networks by Luca Franceschi et al	Graph Convolutional Networks & Graph Neural Networks	23
03-26-2019	Colorectal cancer diagnosis from histology images: A comparative study by Junaid Malik et al	Image Segmentation & Cancer	20
03-26-2019	Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters by Hendrik Schreiber et al	Kernel & Sleep	19
03-27-2019	Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis by Lei Lin et al	Time Series Classification & Time Series Data	18
03-28-2019	Meta-Learning surrogate models for sequential decision making by Alexandre Galashov et al	Decision-making & Black-box	16
03-27-2019	Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder by Masataro Asai et al	Image Segmentation & Cancer	16
03-28-2019	Train, Sort, Explain: Learning to Diagnose Translation Models by Robert Schwarzenberg et al	Image Segmentation & Cancer	16
03-28-2019	Improving MAE against CCE under Label Noise by Xinshao Wang et al	Label Noise & Semi-supervised Learning	16
03-27-2019	MuSE-ing on the Impact of Utterance Ordering On Crowdsourced Emotion Annotations by Mimansa Jaiswal et al	Speech Recognition & End	15
03-27-2019	Autoregressive Policies for Continuous Control Deep Reinforcement Learning by Dmytro Korenkevych et al	Agent Off-policy & Deep Reinforcement Learning	15
03-28-2019	Imbalanced Sentiment Classification Enhanced with Discourse Marker by Tao Zhang et al	Natural Language & Word Embeddings	14
03-26-2019	A geometry-inspired decision-based attack by Yujia Liu et al	Adversarial Attacks & Adversarial Examples	14
03-27-2019	Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems by Steffen Eger et al	Adversarial Attacks & Adversarial Examples	14
03-27-2019	Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks by Mingchen Li et al	Label Noise & Semi-supervised Learning	14
03-27-2019	Optimization of Inf-Convolution Regularized Nonconvex Composite Problems by Emanuel Laude et al	Distributed & Software	13
03-27-2019	The Global Convergence Analysis of the Bat Algorithm Using a Markovian Framework and Dynamical System Theory by Si Chen et al	Stochastic Gradient Descent & Convergence	13
03-27-2019	Self-Supervised Learning via Conditional Motion Propagation by Xiaohang Zhan et al	Image Segmentation & Cancer	13
03-29-2019	On the Anatomy of MCMC-based Maximum Likelihood Learning of Energy-Based Models by Erik Nijkamp et al	Inference & Variational	13
03-29-2019	Incremental Learning with Unlabeled Data in the Wild by Kibok Lee et al	Recurrent Neural Networks (RNN) & Knowledge	13
03-26-2019	Robustness of Neural Networks to Parameter Quantization by Abhishek Murthy et al	Causal & Architecture Search	12
03-27-2019	Radiological images and machine learning: trends, perspectives, and prospects by Zhenwei Zhang et al	Image Segmentation & Cancer	12
03-28-2019	PAL: A fast DNN optimization method based on curvature information by Maximus Mutschler et al	Stochastic Gradient Descent & Convergence	12
03-26-2019	nuScenes: A multimodal dataset for autonomous driving by Holger Caesar et al	Object Detection & Anomaly Detection	12
03-28-2019	The Algorithmic Automation Problem: Prediction, Triage, and Human Effort by Maithra Raghu et al	Decision-making & Black-box	12
03-29-2019	Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning by Laura von Rueden et al	Recurrent Neural Networks (RNN) & Knowledge	11
03-29-2019	Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from Speech by Zixing Zhang et al	Speech Recognition & End	11
03-27-2019	Hierarchical Attention Generative Adversarial Networks for Cross-domain Sentiment Classification by Yuebing Zhang et al	Target Domain & Transfer Learning	11
03-27-2019	Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality by Aria Khademi et al	Decision-making & Black-box	10
03-26-2019	Deep Learning and Word Embeddings for Tweet Classification for Crisis Response by Reem ALRashdi et al	Natural Language & Word Embeddings	10
03-26-2019	Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games by Devdhar Patel et al	Agent Off-policy & Deep Reinforcement Learning	10
03-26-2019	Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis by Yayu Peng et al	Prediction & Forecasting	9
03-27-2019	On Attribution of Recurrent Neural Network Predictions via Additive Decomposition by Mengnan Du et al	Recurrent Neural Networks (RNN) & Knowledge	9
03-26-2019	Interoperability and machine-to-machine translation model with mappings to machine learning tasks by Jacob Nilsson et al	Image Segmentation & Cancer	9
03-29-2019	Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN by Alireza Koochali et al	GANs & Generative Adversarial Networks	9
03-26-2019	Active Stacking for Heart Rate Estimation by Dongrui Wu et al	Inference & Variational	9
03-29-2019	From Variational to Deterministic Autoencoders by Partha Ghosh et al	Generative Models & Latent Space	9
03-26-2019	Energy Storage Management via Deep Q-Networks by Ahmed S. Zamzam et al	Prediction & Forecasting	8
03-29-2019	Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks by Elnaz Soleimania et al	Target Domain & Transfer Learning	8
03-27-2019	Atrial Fibrillation Detection Using Deep Features and Convolutional Networks by Sara Ross-Howe et al	Object Detection & Anomaly Detection	8
03-26-2019	Localized Linear Regression in Networked Data by Alexander Jung et al	Linear Regression & Lasso	8
03-26-2019	Classifying Partially Labeled Networked Data via Logistic Network Lasso by Nguyen Tran et al	Linear Regression & Lasso	8
03-27-2019	Rallying Adversarial Techniques against Deep Learning for Network Security by Joseph Clements et al	Adversarial Attacks & Adversarial Examples	8
03-26-2019	Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder by Yuchi Zhang et al	Generative Models & Latent Space	8
03-26-2019	Probabilistic Load Forecasting via Point Forecast Feature Integration by Qicheng Chang et al	Prediction & Forecasting	8
03-28-2019	Nearest-Neighbor Neural Networks for Geostatistics by Haoyu Wang et al	Other	7
03-28-2019	Learning Good Representation via Continuous Attention by Liang Zhao et al	Social & User	7
03-26-2019	Interference Prediction in Wireless Networks: Stochastic Geometry meets Recursive Filtering by Jorge F. Schmidt et al	Prediction & Forecasting	7
03-26-2019	Adversarially Learned Abnormal Trajectory Classifier by Pankaj Raj Roy et al	Object Detection & Anomaly Detection	7
03-29-2019	Online Variance Reduction with Mixtures by Zalán Borsos et al	Regret & Online Learning	7
03-26-2019	On the Theory of Dynamic Graph Regression Problem by Mostafa Haghir Chehreghani	Graph Convolutional Networks & Graph Neural Networks	6
03-28-2019	The Challenge of Predicting Meal-to-meal Blood Glucose Concentrations for Patients with Type I Diabetes by Neil C. Borle et al	Image Segmentation & Cancer	6
03-27-2019	A Sober Look at Neural Network Initializations by Ingo Steinwart	Deep Neural Networks & Loss Function	6
03-26-2019	Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design by Neil D. Lawrence	Distributed & Software	6
03-29-2019	Online Multi-target regression trees with stacked leaf models by Saulo Martiello Mastelini et al	Linear Regression & Lasso	6
03-28-2019	Multimodal Deep Network Embedding with Integrated Structure and Attribute Information by Conghui Zheng et al	Tensor & Hyperbolic	6
03-28-2019	Crowd Sourced Data Analysis: Mapping of Programming Concepts to Syntactical Patterns by Deepak Thukral et al	Natural Language & Word Embeddings	6
03-26-2019	Weighted Multisource Tradaboost by João Antunes et al	Target Domain & Transfer Learning	6
03-29-2019	A proof of convergence of multi-class logistic regression network by Marek Rychlik	Linear Regression & Lasso	6
03-26-2019	Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation by Marco Ancona et al	Deep Neural Networks & Loss Function	6
03-27-2019	iBreakDown: Uncertainty of Model Explanations for Non-additive Predictive Models by Alicja Gosiewska et al	Inference & Variational	6
03-27-2019	Active Multi-Information Source Bayesian Quadrature by Alexandra Gessner et al	Inference & Variational	6
03-28-2019	Building Automated Survey Coders via Interactive Machine Learning by Andrea Esuli et al	Distributed & Software	5
03-28-2019	Extending Signature-based Intrusion Detection Systems WithBayesian Abductive Reasoning by Ashwinkumar Ganesan et al	Object Detection & Anomaly Detection	5
03-26-2019	Sparse Learning for Variable Selection with Structures and Nonlinearities by Magda Gregorova	Dictionary Learning & Sparse Coding	5
03-29-2019	Deep Network for Capacitive ECG Denoising by Vignesh Ravichandran et al	Speech Recognition & End	5
03-26-2019	Augmented Ultrasonic Data for Machine Learning by Iikka Virkkunen et al	Distributed & Software	5
03-26-2019	Autoencoding Binary Classifiers for Supervised Anomaly Detection by Yuki Yamanaka et al	Object Detection & Anomaly Detection	5
03-26-2019	Conditioning a Recurrent Neural Network to synthesize musical instrument transients by Lonce Wyse et al	Recurrent Neural Networks (RNN) & Knowledge	5
03-28-2019	On the Stability and Generalization of Learning with Kernel Activation Functions by Michele Cirillo et al	Kernel & Sleep	5
03-28-2019	Toroidal AutoEncoder by Maciej Mikulski et al	Generative Models & Latent Space	5
03-26-2019	RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems by Cheng Wang et al	Target Domain & Transfer Learning	5
03-28-2019	Improved Reinforcement Learning with Curriculum by Joseph West et al	Agent Off-policy & Deep Reinforcement Learning	5
03-29-2019	The False Positive Control Lasso by Erik Drysdale et al	Linear Regression & Lasso	4
03-28-2019	Using Latent Class Analysis to Identify ARDS Sub-phenotypes for Enhanced Machine Learning Predictive Performance by Tony Wang et al	Other	4
03-28-2019	A Machine Learning Framework for Biometric Authentication using Electrocardiogram by Song-Kyoo Kim et al	Distributed & Software	4
03-26-2019	On the Performance of Exact Diffusion over Adaptive Networks by Kun Yuan et al	Distributed & Software	4
03-29-2019	Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data by Zixing Zhang et al	GANs & Generative Adversarial Networks	4
03-27-2019	Real-time data-driven detection of the rock type alteration during a directional drilling by Evgenya Romanenkova et al	Object Detection & Anomaly Detection	4
03-28-2019	An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression by Jean Feng et al	Bounds & Generalization Error	4
03-28-2019	Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines by P. Kumar et al	Memory & Quantum	4
03-28-2019	Adversarial Approximate Inference for Speech to Electroglottograph Conversion by Prathosh A. P. et al	Speech Recognition & End	4
03-26-2019	Iteratively reweighted least squares for robust regression via SVM and ELM by Hongwei Dong et al	Linear Regression & Lasso	4
03-26-2019	A method on selecting reliable samples based on fuzziness in positive and unlabeled learning by TingTing Li et al	Label Noise & Semi-supervised Learning	3
03-29-2019	Evaluating Built-in ECC of FPGA on-chip Memories for the Mitigation of Undervolting Faults by Behzad Salami et al	Prediction & Forecasting	3

Craig SmithApril 1, 2019