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Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
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Papers

Dimensionality Reduction of Massive Sparse Datasets Using Coresets NIPS 2016
Brains on Beats NIPS 2016
Kronecker Determinantal Point Processes NIPS 2016
Strategic Attentive Writer for Learning Macro-Actions NIPS 2016
Nearly Isometric Embedding by Relaxation NIPS 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA NIPS 2016
High Dimensional Structured Superposition Models NIPS 2016
Data driven estimation of Laplace-Beltrami operator NIPS 2016
Select-and-Sample for Spike-and-Slab Sparse Coding NIPS 2016
Learning Infinite RBMs with Frank-Wolfe NIPS 2016
Deep Neural Networks with Inexact Matching for Person Re-Identification NIPS 2016
Learning Kernels with Random Features NIPS 2016
Dense Associative Memory for Pattern Recognition NIPS 2016
Disentangling factors of variation in deep representation using adversarial training NIPS 2016
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated NIPS 2016
DeepMath - Deep Sequence Models for Premise Selection NIPS 2016
A Pseudo-Bayesian Algorithm for Robust PCA NIPS 2016
Lifelong Learning with Weighted Majority Votes NIPS 2016
Can Active Memory Replace Attention? NIPS 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks NIPS 2016
Non-Linear Smoothed Transductive Network Embedding with Text Information ACML 2016
Modelling Symbolic Music: Beyond the Piano Roll ACML 2016
Multitask Principal Component Analysis ACML 2016
Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations AISTATS 2016
Deep Kernel Learning AISTATS 2016