2019.03.17 Learning papers

03-14-2019		To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks by Matthew Peters et al	Domain Adaptation & Transfer Learning	245	1
03-13-2019		Functional Variational Bayesian Neural Networks by Shengyang Sun et al	Bayesian Optimization & Variational Inference	66	0
03-15-2019		SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representation by Shuaifeng Zhi et al	Image Segmentation & Object	62	0
03-14-2019		Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations by Tri Dao et al	Deep Neural Networks & Linear	49	0
03-14-2019		Deep Reinforcement Learning with Feedback-based Exploration by Jan Scholten et al	Reinforcement Learning & Agent	27	0
03-13-2019		Improving Prostate Cancer Detection with Breast Histopathology Images by Umair Akhtar Hasan Khan et al	Image Segmentation & Object	26	0
03-13-2019		DeepOBS: A Deep Learning Optimizer Benchmark Suite by Frank Schneider et al	Word Embedding & Text	26	0
03-13-2019		Diagnosing and Enhancing VAE Models by Bin Dai et al	Generative Models & Autoencoder (VAE)	25	0
03-13-2019		Variational Estimators for Bayesian Optimal Experimental Design by Adam Foster et al	Bayesian Optimization & Variational Inference	25	0
03-13-2019		Benchmarking Natural Language Understanding Services for building Conversational Agents by Xingkun Liu et al	Word Embedding & Text	23	0
03-14-2019		Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration by Rohan Paleja et al	Bayesian Optimization & Variational Inference	19	0
03-15-2019		Multimodal Deep Learning for Finance: Integrating and Forecasting International Stock Markets by Sang Il Lee et al	Prediction & Demand	18	0
03-14-2019		SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition by Yuntao Chen et al	Anomaly Detection & Object Detection	17	0
03-14-2019		Improving Neural Architecture Search Image Classifiers via Ensemble Learning by Vladimir Macko et al	Neural Architecture Search (NAS) & Influence	16	0
03-14-2019		Tucker Tensor Layer in Fully Connected Neural Networks by Giuseppe G. Calvi et al	Tensor & User	16	0
03-13-2019		What relations are reliably embeddable in Euclidean space? by Robi Bhattacharjee et al	Tensor & User	16	0
03-13-2019		Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets by Penghang Yin et al	Stochastic Gradient & Gradient Descent	15	0
03-13-2019		DeepCount: Crowd Counting with WiFi via Deep Learning by Shangqing Liu et al	Speech Recognition & End	14	1
03-14-2019		Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data by Moonsu Han et al	Continual Learning & Chip Memory	14	0
03-13-2019		Hardness-Aware Deep Metric Learning by Wenzhao Zheng et al	Wasserstein Distance & Mixture	13	0
03-14-2019		Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness by Jiawang Bai et al	Regression & Fairness	12	0
03-14-2019		Attribution-driven Causal Analysis for Detection of Adversarial Examples by Susmit Jha et al	Adversarial Examples & Adversarial Attacks	12	0
03-15-2019		MFAS: Multimodal Fusion Architecture Search by Juan-Manuel Pérez-Rúa et al	Neural Architecture Search (NAS) & Influence	11	0
03-13-2019		GASC: Genre-Aware Semantic Change for Ancient Greek by Valerio Perrone et al	Word Embedding & Text	11	2
03-13-2019		Fuzzy Rough Set Feature Selection to Enhance Phishing Attack Detection by Mahdieh Zabihimayvan et al	Feature Selection & Malware	10	0
03-13-2019		Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks by Sanjay Thakur et al	Bayesian Optimization & Variational Inference	10	0
03-15-2019		A Faster Algorithm Enumerating Relevant Features over Finite Fields by Mikito Nanashima	Deep Neural Networks & Linear	9	0
03-15-2019		A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning by Wesley Suttle et al	Agent Reinforcement Learning & Multi-agent Reinforcement	9	0
03-13-2019		Improving Transparency of Deep Neural Inference Process by Hiroshi Kuwajima et al	Explanation & Black-box	9	0
03-14-2019		gym-gazebo2, a toolkit for reinforcement learning using ROS 2 and Gazebo by Nestor Gonzalez Lopez et al	Reinforcement Learning & Agent	9	0
03-14-2019		Successive Refinement of Images with Deep Joint Source-Channel Coding by David Burth Kurka et al	Image Segmentation & Object	9	0
03-15-2019		Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly by Kirthevasan Kandasamy et al	Bayesian Optimization & Variational Inference	8	0
03-13-2019		Personal Dynamic Cost-Aware Sensing for Latent Context Detection by Saar Tal et al	Other	8	0
03-14-2019		Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement by Wouter Kool et al	Generative Models & Autoencoder (VAE)	8	0
03-15-2019		Deep Neural Network Ensembles for Time Series Classification by H. Ismail Fawaz et al	Time Series Classification & Time Series Forecasting	8	0
03-13-2019		Efficient Search-Based Weighted Model Integration by Zhe Zeng et al	Neural Architecture Search (NAS) & Influence	7	0
03-15-2019		A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments by Rui Xia et al	Kernel Learning & Low-rank	7	0
03-14-2019		Stripe: Tensor Compilation via the Nested Polyhedral Model by Tim Zerrell et al	Explanation & Black-box	7	0
03-14-2019		Deep Switch Networks for Generating Discrete Data and Language by Payam Delgosha et al	Word Embedding & Text	7	0
03-13-2019		Maybe Deep Neural Networks are the Best Choice for Modeling Source Code by Rafael-Michael Karampatsis et al	Word Embedding & Text	7	0
03-14-2019		Inefficiency of K-FAC for Large Batch Size Training by Linjian Ma et al	Stochastic Gradient & Gradient Descent	6	0
03-13-2019		Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems by Kleanthis Malialis et al	Reinforcement Learning & Agent	6	0
03-13-2019		Effective reinforcement learning based local search for the maximum k-plex problem by Yan Jin et al	Reinforcement Learning & Agent	6	0
03-14-2019		On Learning from Ghost Imaging without Imaging by Issei Sato	Image Segmentation & Object	6	0
03-14-2019		Teaching with IMPACT by Carl Trimbach et al	Explanation & Black-box	5	0
03-15-2019		Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism by Nikoli Dryden et al	Continual Learning & Chip Memory	5	0
03-14-2019		On Target Shift in Adversarial Domain Adaptation by Yitong Li et al	Domain Adaptation & Transfer Learning	5	0
03-15-2019		Rectified deep neural networks overcome the curse of dimensionality for nonsmooth value functions in zero-sum games of nonlinear stiff systems by Christoph Reisinger et al	Deep Neural Networks & Linear	5	0
03-13-2019		Zero-shot Domain Adaptation Based on Attribute Information by Masato Ishii et al	Domain Adaptation & Transfer Learning	5	0
03-15-2019		GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection by Quoc Phong Nguyen et al	Anomaly Detection & Object Detection	5	0
03-14-2019		Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification by Philip Sellars et al	Graph Neural Networks & Graph Convolutional Networks	5	0
03-15-2019		On Certifying Non-uniform Bound against Adversarial Attacks by Chen Liu et al	Adversarial Examples & Adversarial Attacks	5	0
03-14-2019		Learning Dependency Structures for Weak Supervision Models by Paroma Varma et al	Noise & Label	5	0
03-15-2019		Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning by Sanjeev Raja et al	Anomaly Detection & Object Detection	5	0
03-13-2019		ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling by Bing Yu et al	Prediction & Demand	5	0
03-14-2019		Deep Distribution Regression by Rui Li et al	Regression & Fairness	5	0
03-13-2019		Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret by Daniele Calandriello et al	Bayesian Optimization & Variational Inference	5	0
03-13-2019		Cardinality Estimation in a Virtualized Network Device Using Online Machine Learning by Reuven Cohen et al	Deep Neural Networks & Linear	5	0
03-14-2019		DysLexML: Screening Tool for Dyslexia Using Machine Learning by Thomais Asvestopoulou et al	Explanation & Black-box	4	0
03-13-2019		Predicting class-imbalanced business risk using resampling, regularization, and model ensembling algorithms by Yan Wang et al	Regression & Fairness	4	0
03-13-2019		Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach by Jaeseok Kim et al	Reinforcement Learning & Agent	4	0
03-14-2019		Constrained Mutual Convex Cone Method for Image Set Based Recognition by Naoya Sogi et al	Image Segmentation & Object	4	0
03-14-2019		A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience by Aritra Mitra et al	Parallel & Distributed Learning	3	0
03-14-2019		Learning Latent Representations of Bank Customers With The Variational Autoencoder by Rogelio A Mancisidor et al	Generative Models & Autoencoder (VAE)	3	0
03-14-2019		A Research Agenda: Dynamic Models to Defend Against Correlated Attacks by Ian Goodfellow	Adversarial Examples & Adversarial Attacks	3	0