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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014
Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014
Avoiding pathologies in very deep networks AISTATS 2014
Robust Stochastic Principal Component Analysis AISTATS 2014
Latent Gaussian Models for Topic Modeling AISTATS 2014
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014
Computational Education using Latent Structured Prediction AISTATS 2014
Learning Heterogeneous Hidden Markov Random Fields AISTATS 2014
Interpretable Sparse High-Order Boltzmann Machines AISTATS 2014
To go deep or wide in learning? AISTATS 2014
An Efficient Algorithm for Large Scale Compressive Feature Learning AISTATS 2014
Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014
Cluster Canonical Correlation Analysis AISTATS 2014
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations AISTATS 2014
Gaussian Copula Precision Estimation with Missing Values AISTATS 2014
Mixed Graphical Models via Exponential Families AISTATS 2014
Learning Sparsely Used Overcomplete Dictionaries COLT 2014
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning COLT 2014
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability COLT 2014
New Algorithms for Learning Incoherent and Overcomplete Dictionaries COLT 2014
Learning Mid-level Filters for Person Re-identification CVPR 2014
NMF-KNN: Image Annotation using Weighted Multi-view Non-negative Matrix Factorization CVPR 2014
Histograms of Pattern Sets for Image Classification and Object Recognition CVPR 2014
Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks CVPR 2014
Large Scale Multi-view Stereopsis Evaluation CVPR 2014