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Representation Learning

20,822 papers

Papers per year

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101
309
2011
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Papers

Bayesian group factor analysis with structured sparsity JMLR 2016
Nonparametric Network Models for Link Prediction JMLR 2016
Learning Planar Ising Models JMLR 2016
Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization MLHC 2016
Multi-task Prediction of Disease Onsets from Longitudinal Laboratory Tests MLHC 2016
Deep Survival Analysis MLHC 2016
Transferring Knowledge from Text to Predict Disease Onset MLHC 2016
Learning Robust Features using Deep Learning for Automatic Seizure Detection MLHC 2016
Diagnostic Prediction Using Discomfort Drawings with IBTM MLHC 2016
Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016
An Empirical-Bayes Score for Discrete Bayesian Networks PGM 2016
Understanding Hand-Object Manipulation with Grasp Types and Object Attributes RSS 2016
Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding RSS 2016
Vehicle Detection from 3D Lidar Using Fully Convolutional Network RSS 2016
Robust Multimodal Sequence-Based Loop Closure Detection via Structured Sparsity RSS 2016
A fast, universal algorithm to learn parametric nonlinear embeddings NIPS 2015
Matrix Completion with Noisy Side Information NIPS 2015
Attention-Based Models for Speech Recognition NIPS 2015
Time-Sensitive Recommendation From Recurrent User Activities NIPS 2015
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NIPS 2015
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NIPS 2015
Training Very Deep Networks NIPS 2015
Fast and Memory Optimal Low-Rank Matrix Approximation NIPS 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets NIPS 2015
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NIPS 2015