2019.04.28 Learning papers

04-25-2019	Local Relation Networks for Image Recognition by Han Hu et al
04-23-2019	Low-Memory Neural Network Training: A Technical Report by Nimit Sharad Sohoni et al
04-24-2019	Machine learning for long-distance quantum communication by Julius Wallnöfer et al
04-24-2019	D-VAE: A Variational Autoencoder for Directed Acyclic Graphs by Muhan Zhang et al
04-24-2019	Bayesian leave-one-out cross-validation for large data by Måns Magnusson et al
04-24-2019	Learning Discriminative Features Via Weights-biased Softmax Loss by XiaoBin Li et al
04-24-2019	Mercator: uncovering faithful hyperbolic embeddings of complex networks by Guillermo García-Pérez et al
04-25-2019	Making Convolutional Networks Shift-Invariant Again by Richard Zhang
04-24-2019	The Scientific Method in the Science of Machine Learning by Jessica Zosa Forde et al
04-24-2019	Physical Adversarial Textures that Fool Visual Object Tracking by Rey Reza Wiyatno et al
04-24-2019	Deep Sparse Representation-based Classification by Mahdi Abavisani et al
04-24-2019	Analytical Moment Regularizer for Gaussian Robust Networks by Modar Alfadly et al
04-24-2019	Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity by Minsu Cho et al
04-25-2019	Importance of Copying Mechanism for News Headline Generation by Ilya Gusev
04-23-2019	Quaternion Knowledge Graph Embedding by Shuai Zhang et al
04-23-2019	Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning by Max Wilson et al
04-25-2019	A Conditional Adversarial Network for Scene Flow Estimation by Ravi Kumar Thakur et al
04-26-2019	Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory by Chun-Kit Yeung
04-23-2019	CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification by Arjun Pakrashi et al
04-24-2019	Deep Learning for Classification of Hyperspectral Data: A Comparative Review by Nicolas Audebert et al
04-25-2019	Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation by Gregory P. Meyer et al
04-25-2019	Ray Interference: a Source of Plateaus in Deep Reinforcement Learning by Tom Schaul et al
04-24-2019	Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks by Daniel Lopez-Martinez et al
04-24-2019	Tell Me What I Need to Know: Succinctly Summarizing Data with Itemsets by Michael Mampaey et al
04-26-2019	Factored Contextual Policy Search with Bayesian Optimization by Robert Pinsler et al
04-23-2019	Realizing Petabyte Scale Acoustic Modeling by Sree Hari Krishnan Parthasarathi et al
04-24-2019	Neural Logic Reinforcement Learning by Zhengyao Jiang et al
04-24-2019	How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning by Xinlei Pan et al
04-23-2019	Generating Long Sequences with Sparse Transformers by Rewon Child et al
04-24-2019	Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio by Kaito Fujii et al
04-24-2019	Layer Dynamics of Linearised Neural Nets by Saurav Basu et al
04-24-2019	Wearable-based Parkinsons Disease Severity Monitoring using Deep Learning by Jann Goschenhofer et al
04-26-2019	AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding by Yongqi Zhang et al
04-25-2019	Decision Forest: A Nonparametric Approach to Modeling Irrational Choice by Yi-Chun Chen et al
04-23-2019	Design Automation for Efficient Deep Learning Computing by Song Han et al
04-23-2019	A Novel Re-weighting Method for Connectionist Temporal Classification by Hongzhu Li et al
04-25-2019	Bayesian Generative Active Deep Learning by Toan Tran et al
04-24-2019	Generating Token-Level Explanations for Natural Language Inference by James Thorne et al
04-26-2019	SWALP : Stochastic Weight Averaging in Low-Precision Training by Guandao Yang et al
04-23-2019	Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning by Tianyu Shi et al
04-25-2019	Discrete Optimal Graph Clustering by Yudong Han et al
04-26-2019	Neural Ideal Point Estimation Network by Kyungwoo Song et al
04-24-2019	On Learning to Prove by Daniel Huang
04-26-2019	Robust Metric Learning based on the Rescaled Hinge Loss by Sumia Abdulhussien Razooqi Al-Obaidi et al
04-24-2019	TwitterMancer: Predicting Interactions on Twitter Accurately by Konstantinos Sotiropoulos et al
04-24-2019	Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment by Artjom Zern et al
04-24-2019	Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning by Dimitrije Jankov et al
04-25-2019	Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings by Feiyang Pan et al
04-26-2019	Robustness Verification of Support Vector Machines by Francesco Ranzato et al
04-25-2019	Decentralized Multi-Task Learning Based on Extreme Learning Machines by Yu Ye et al
04-23-2019	Learning Feature Sparse Principal Components by Lai Tian et al
04-26-2019	Interactive user interface based on Convolutional Auto-encoders for annotating CT-scans by Martin Längkvist et al
04-23-2019	Wasserstein-Fisher-Rao Document Distance by Zihao Wang et al
04-26-2019	Classification from Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization by Takuya Shimada et al
04-24-2019	Towards Combining On-Off-Policy Methods for Real-World Applications by Kai-Chun Hu et al
04-23-2019	Improving benchmarks for autonomous vehicles testing using synthetically generated images by Aleksander Lukashou
04-23-2019	Generated Loss, Augmented Training, and Multiscale VAE by Jason Chou et al
04-25-2019	Attention-based Transfer Learning for Brain-computer Interface by Chuanqi Tan et al
04-25-2019	Time Series Simulation by Conditional Generative Adversarial Net by Rao Fu et al
04-23-2019	Baconian: A Unified Opensource Framework for Model-Based Reinforcement Learning by Linsen Dong et al
04-25-2019	Faster and More Accurate Learning with Meta Trace Adaptation by Mingde Zhao et al
04-25-2019	A Novel Orthogonal Direction Mesh Adaptive Direct Search Approach for SVM Hyperparameter Tuning by Alexandre Reeberg Mello et al
04-26-2019	Graph Optimized Convolutional Networks by Bo Jiang et al
04-23-2019	Maximum Entropy Based Significance of Itemsets by Nikolaj Tatti
04-24-2019	Variational approach to unsupervised learning by Swapnil Nitin Shah
04-24-2019	Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene Classification by Konstantinos Drossos et al
04-25-2019	From Predictions to Prescriptions in Multistage Optimization Problems by Dimitris Bertsimas et al
04-23-2019	Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function by Samuel Asante Gyamerah et al
04-26-2019	Adaptive Regret of Convex and Smooth Functions by Lijun Zhang et al
04-24-2019	Differentiable Pruning Method for Neural Networks by Jaedeok Kim et al
04-23-2019	A Comparison Study of Credit Card Fraud Detection: Supervised versus Unsupervised by Xuetong Niu et al
04-24-2019	Generated Loss and Augmented Training of MNIST VAE by Jason Chou
04-24-2019	Evolving Neural Networks in Reinforcement Learning by means of UMDAc by Mikel Malagon et al
04-24-2019	Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning by Peng Xu et al
04-25-2019	Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers by Yao Ma et al
04-23-2019	Latent Variable Algorithms for Multimodal Learning and Sensor Fusion by Lijiang Guo
04-24-2019	TreeGrad: Transferring Tree Ensembles to Neural Networks by Chapman Siu
04-25-2019	Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning by Wei Shen et al
04-25-2019	Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms by Imen Chakroun et al
04-24-2019	Learning Bodily and Temporal Attention in Protective Movement Behavior Detection by Chongyang Wang et al
04-24-2019	Latent Variable Session-Based Recommendation by David Rohde et al
04-23-2019	Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data by Xiang Gao et al
04-26-2019	Think Again Networks, the Delta Loss, and an Application in Language Modeling by Alexandre Salle et al
04-24-2019	Learning big Gaussian Bayesian networks: partition, estimation, and fusion by Jiaying Gu et al
04-23-2019	Read classification using semi-supervised deep learning by Tomislav Šebrek et al
04-25-2019	Zap~Q-Learning for Optimal Stopping Time Problems by Shuhang Chen et al
04-25-2019	A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions by Nicholas D. Sanders et al
04-24-2019	Prediction of Progression to Alzheimer`s disease with Deep InfoMax by Alex Fedorov et al
04-25-2019	Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks by Kyongsik Yun et al
04-25-2019	Communication trade-offs for synchronized distributed SGD with large step size by Kumar Kshitij Patel et al
04-25-2019	Deep Iterative Reconstruction for Phase Retrieval by Çağatay Işıl et al
04-26-2019	Online Learning Algorithms for Quaternion ARMA Model by Xiaokun Pu et al
04-26-2019	The Roadmap to 6G -- AI Empowered Wireless Networks by Khaled B. Letaief et al
04-24-2019	Construction of the similarity matrix for the spectral clustering method: numerical experiments by Paola Favati et al
04-25-2019	Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection by Xiao Dong et al
04-23-2019	Kernel Mean Embedding of Instance-wise Predictions in Multiple Instance Regression by Thomas Uriot
04-23-2019	Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning by Ruisheng Diao et al
04-24-2019	An Exploratory Analysis of Biased Learners in Soft-Sensing Frames by Aysun Urhan et al
04-23-2019	Block-distributed Gradient Boosted Trees by Theodore Vasiloudis et al
04-26-2019	I-vector Based Features Embedding for Heart Sound Classification by Mohammad Adiban et al
04-26-2019	Learning to Prune: Speeding up Repeated Computations by Daniel Alabi et al
04-26-2019	Simulating Execution Time of Tensor Programs using Graph Neural Networks by Jakub M. Tomczak et al
04-24-2019	Tactile Mapping and Localization from High-Resolution Tactile Imprints by Maria Bauza et al
04-24-2019	Machine Learning Tips and Tricks for Power Line Communications by Andrea M. Tonello et al
04-24-2019	Low-Rank Tucker Approximation of a Tensor From Streaming Data by Yiming Sun et al
04-25-2019	A Method for Expressing and Displaying the Vehicle Behavior Distribution in Maintenance Work Zones by Qun Yang et al
04-23-2019	Identifying cross country skiing techniques using power meters in ski poles by Moa Johansson et al
04-24-2019	Comparing machine learning models to choose the variable ordering for cylindrical algebraic decomposition by Matthew England et al
04-23-2019	Regression-Enhanced Random Forests by Haozhe Zhang et al
04-23-2019	CPM-sensitive AUC for CTR prediction by Zhaocheng Liu et al
04-23-2019	Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction by Sainath Adapa
04-24-2019	Predicting Student Performance in an Educational Game Using a Hidden Markov Model by Manie Tadayon et al
04-23-2019	Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization by Shing-Jiuan Liu et al