conftrace_
← Core Methods
Machine Learning › Core Methods ›

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
'00
'05
'10
'15
'20
'25

Papers

Composite Quantization for Approximate Nearest Neighbor Search ICML 2014
Sparse meta-Gaussian information bottleneck ICML 2014
Nearest Neighbors Using Compact Sparse Codes ICML 2014
Preserving Modes and Messages via Diverse Particle Selection ICML 2014
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models ICML 2014
Affinity Weighted Embedding ICML 2014
Deep AutoRegressive Networks ICML 2014
Learning Latent Variable Gaussian Graphical Models ICML 2014
Stable and Efficient Representation Learning with Nonnegativity Constraints ICML 2014
Randomized Nonlinear Component Analysis ICML 2014
Learning to Disentangle Factors of Variation with Manifold Interaction ICML 2014
Probabilistic Partial Canonical Correlation Analysis ICML 2014
Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014
Riemannian Pursuit for Big Matrix Recovery ICML 2014
Multiresolution Matrix Factorization ICML 2014
Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014
A Deep Semi-NMF Model for Learning Hidden Representations ICML 2014
Learning Ordered Representations with Nested Dropout ICML 2014
Learning the Irreducible Representations of Commutative Lie Groups ICML 2014
Towards End-To-End Speech Recognition with Recurrent Neural Networks ICML 2014
Neural Variational Inference and Learning in Belief Networks ICML 2014
Learning Character-level Representations for Part-of-Speech Tagging ICML 2014
Estimating Latent-Variable Graphical Models using Moments and Likelihoods ICML 2014
Compositional Morphology for Word Representations and Language Modelling ICML 2014
Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014