2019.04.21 Learning papers

04-16-2019	End-to-End Robotic Reinforcement Learning without Reward Engineering by Avi Singh et al
04-17-2019	Effective Estimation of Deep Generative Language Models by Tom Pelsmaeker et al
04-17-2019	Document Expansion by Query Prediction by Rodrigo Nogueira et al
04-16-2019	Expediting TTS Synthesis with Adversarial Vocoding by Paarth Neekhara et al
04-17-2019	LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning by Yaoyao Liu et al
04-16-2019	HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning by Oguzhan Gencoglu et al
04-18-2019	Decoding Molecular Graph Embeddings with Reinforcement Learning by Steven Kearnes et al
04-16-2019	On the Mathematical Understanding of ResNet with Feynman Path Integral by Minghao Yin et al
04-17-2019	Inpatient2Vec: Medical Representation Learning for Inpatients by Ying Wang et al
04-17-2019	Defensive Quantization: When Efficiency Meets Robustness by Ji Lin et al
04-17-2019	Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers by Ameya Joshi et al
04-17-2019	ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks by Guanxiong Liu et al
04-17-2019	Deep Representation Learning for Social Network Analysis by Qiaoyu Tan et al
04-17-2019	Stock Forecasting using M-Band Wavelet-Based SVR and RNN-LSTMs Models by Hieu Quang Nguyen et al
04-16-2019	Forecasting with time series imaging by Xixi Li et al
04-16-2019	Fast object detection in compressed JPEG Images by Benjamin Deguerre et al
04-17-2019	A New Class of Time Dependent Latent Factor Models with Applications by Sinead A. Williamson et al
04-16-2019	IAN: Combining Generative Adversarial Networks for Imaginative Face Generation by Abdullah Hamdi et al
04-19-2019	Emergence of Compositional Language with Deep Generational Transmission by Michael Cogswell et al
04-17-2019	Gotta Catch Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks by Shawn Shan et al
04-16-2019	Reinforcement Learning Based Emotional Editing Constraint Conversation Generation by Jia Li et al
04-18-2019	Disentangled Representation Learning with Information Maximizing Autoencoder by Kazi Nazmul Haque et al
04-16-2019	AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets by Xiaosen Wang et al
04-16-2019	GradMask: Reduce Overfitting by Regularizing Saliency by Becks Simpson et al
04-19-2019	Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process by Guy Blanc et al
04-16-2019	Matrix and tensor decompositions for training binary neural networks by Adrian Bulat et al
04-17-2019	Off-Policy Policy Gradient with State Distribution Correction by Yao Liu et al
04-17-2019	Self-Attention Graph Pooling by Junhyun Lee et al
04-18-2019	Evaluating the Underlying Gender Bias in Contextualized Word Embeddings by Christine Basta et al
04-19-2019	Hierarchical Meta Learning by Yingtian Zou et al
04-17-2019	An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs by Behzad Ghazanfari et al
04-17-2019	Dynamic Evaluation of Transformer Language Models by Ben Krause et al
04-18-2019	TTS Skins: Speaker Conversion via ASR by Adam Polyak et al
04-16-2019	Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning by Anahid Jalali et al
04-16-2019	Histopathologic Image Processing: A Review by Jonathan de Matos et al
04-17-2019	Bayesian policy selection using active inference by Ozan Çatal et al
04-19-2019	Optimal initialization of K-means using Particle Swarm Optimization by Ashutosh Mahesh Pednekar
04-18-2019	NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation by Subhashis Hazarika et al
04-19-2019	SelFlow: Self-Supervised Learning of Optical Flow by Pengpeng Liu et al
04-16-2019	Inductive Graph Representation Learning with Recurrent Graph Neural Networks by Binxuan Huang et al
04-17-2019	General Purpose (GenP) Bioimage Ensemble of Handcrafted and Learned Features with Data Augmentation by L. Nanni et al
04-17-2019	TextCaps : Handwritten Character Recognition with Very Small Datasets by Vinoj Jayasundara et al
04-18-2019	One-dimensional Deep Image Prior for Time Series Inverse Problems by Sriram Ravula et al
04-17-2019	Learning Interpretable Disentangled Representations using Adversarial VAEs by Mhd Hasan Sarhan et al
04-17-2019	Do Lateral Views Help Automated Chest X-ray Predictions? by Hadrien Bertrand et al
04-19-2019	SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points by Zhize Li
04-18-2019	DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks by Nico Engel et al
04-17-2019	An Online Learning Approach for Dengue Fever Classification by Siddharth Srivastava et al
04-18-2019	From GAN to WGAN by Lilian Weng
04-17-2019	Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems by Ran Wang et al
04-16-2019	Simion Zoo: A Workbench for Distributed Experimentation with Reinforcement Learning for Continuous Control Tasks by Borja Fernandez-Gauna et al
04-18-2019	Language Modeling through Long Term Memory Network by Anupiya Nugaliyadde et al
04-18-2019	Reducing Noise in GAN Training with Variance Reduced Extragradient by Tatjana Chavdarova et al
04-16-2019	DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction by Yeqi Liu et al
04-18-2019	DScribe: Library of Descriptors for Machine Learning in Materials Science by Lauri Himanen et al
04-17-2019	Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning by Yuji Kanagawa et al
04-18-2019	Online Active Learning: Label Complexity vs. Classification Errors by Boshuang Huang et al
04-17-2019	A Game Theoretical Framework for the Evaluation of Unmanned Aircraft Systems Airspace Integration Concepts by Negin Musavi
04-19-2019	Zero-Shot Cross-Lingual Opinion Target Extraction by Soufian Jebbara et al
04-16-2019	Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings by Zhaoning Li et al
04-19-2019	Data Augmentation Using GANs by Fabio Henrique Kiyoiti dos Santos Tanaka et al
04-18-2019	Making Meaning: Semiotics Within Predictive Knowledge Architectures by Alex Kearney et al
04-16-2019	Convolutional Neural Networks for Classification of Alzheimers Disease: Overview and Reproducible Evaluation by Junhao Wen et al
04-18-2019	Playgol: learning programs through play by Andrew Cropper
04-19-2019	Knowledge Distillation via Route Constrained Optimization by Xiao Jin et al
04-19-2019	Simple yet efficient real-time pose-based action recognition by Dennis Ludl et al
04-17-2019	Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification by Qiang Li et al
04-17-2019	Matrix Completion With Selective Sampling by Christian Parkinson et al
04-16-2019	Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data by Chong Peng et al
04-17-2019	Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks by Jaechang Lim et al
04-16-2019	Posterior-regularized REINFORCE for Instance Selection in Distant Supervision by Qi Zhang et al
04-16-2019	PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization by Gordon E. Moon et al
04-16-2019	Temporal Cycle-Consistency Learning by Debidatta Dwibedi et al
04-17-2019	Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification by Sujay Khandagale et al
04-19-2019	EmbraceNet: A robust deep learning architecture for multimodal classification by Jun-Ho Choi et al
04-18-2019	Random Fragments Classification of Microbial Marker Clades with Multi-class SVM and N-Best Algorithm by Jingwei Liu
04-16-2019	3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders by Wentai Zhang et al
04-18-2019	Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs by Matthew A. Wright et al
04-16-2019	A Deep Optimization Approach for Image Deconvolution by Zhijian Luo et al
04-19-2019	Reliable Multi-label Classification: Prediction with Partial Abstention by Vu-Linh Nguyen et al
04-16-2019	Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction by Shun Zheng et al
04-19-2019	Analyzing the benefits of communication channels between deep learning models by Philippe Lacaille
04-17-2019	Memory-Sample Tradeoffs for Linear Regression with Small Error by Vatsal Sharan et al
04-17-2019	FLARe: Forecasting by Learning Anticipated Representations by Yeahuay Joie Wu et al
04-17-2019	Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection by Rodrigo Caye Daudt et al
04-19-2019	Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA by Ricardo Pio Monti et al
04-17-2019	BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image by Yaoming Cai et al
04-16-2019	Active Adversarial Domain Adaptation by Jong-Chyi Su et al
04-17-2019	MOSNet: Deep Learning based Objective Assessment for Voice Conversion by Chen-Chou Lo et al
04-17-2019	DeepNovoV2: Better de novo peptide sequencing with deep learning by Rui Qiao et al
04-18-2019	Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning by Bahareh Tolooshams et al
04-16-2019	Reducing Adversarial Example Transferability Using Gradient Regularization by George Adam et al
04-16-2019	Hard Sample Mining for the Improved Retraining of Automatic Speech Recognition by Jiabin Xue et al
04-17-2019	Predict Future Sales using Ensembled Random Forests by Yuwei Zhang et al
04-16-2019	A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition by Jiabin Xue et al
04-18-2019	End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network by Sajjad Abdoli et al
04-16-2019	Reinforcement Learning for Nested Polar Code Construction by Lingchen Huang et al
04-16-2019	Double Transfer Learning for Breast Cancer Histopathologic Image Classification by Jonathan de Matos et al
04-19-2019	Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data by Khalil Elkhalil et al
04-17-2019	Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey by Ali Yazdizadeh et al
04-17-2019	X-Armed Bandits: Optimizing Quantiles and Other Risks by Léonard Torossian et al
04-19-2019	SCANN: Synthesis of Compact and Accurate Neural Networks by Shayan Hassantabar et al
04-18-2019	Continual Learning for Sentence Representations Using Conceptors by Tianlin Liu et al
04-16-2019	Audio Denoising with Deep Network Priors by Michael Michelashvili et al
04-17-2019	USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets by Leonardo Rundo et al
04-17-2019	Why did you do that?: Explaining black box models with Inductive Synthesis by Görkem Paçacı et al
04-18-2019	Semi-bandit Optimization in the Dispersed Setting by Maria-Florina Balcan et al
04-16-2019	SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula by Colin Wan et al
04-17-2019	On Low-rank Trace Regression under General Sampling Distribution by Nima Hamidi et al
04-18-2019	edGNN: a Simple and Powerful GNN for Directed Labeled Graphs by Guillaume Jaume et al
04-17-2019	PLOTS: Procedure Learning from Observations using Subtask Structure by Tong Mu et al
04-16-2019	Multimodal Subspace Support Vector Data Description by Fahad Sohrab et al
04-16-2019	Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering by Gene-Ping Yang et al
04-16-2019	Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses by Fabien Lauer
04-16-2019	ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data by Taban Eslami et al
04-18-2019	Graph Element Networks: adaptive, structured computation and memory by Ferran Alet et al
04-16-2019	Detection and Prediction of Cardiac Anomalies Using Wireless Body Sensors and Bayesian Belief Networks by Asim Darwaish et al
04-18-2019	Sequential Decision Making under Uncertainty with Dynamic Resource Constraints by Kesav Kaza et al
04-16-2019	Mining Closed Episodes with Simultaneous Events by Nikolaj Tatti et al
04-18-2019	Batch Tournament Selection for Genetic Programming by Vinicius V. Melo et al
04-18-2019	Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search by Xianglong Liu et al