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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

k-Prototype Learning for 3D Rigid Structures NIPS 2013
Learning Adaptive Value of Information for Structured Prediction NIPS 2013
Provable Subspace Clustering: When LRR meets SSC NIPS 2013
Using multiple samples to learn mixture models NIPS 2013
Lexical and Hierarchical Topic Regression NIPS 2013
Mid-level Visual Element Discovery as Discriminative Mode Seeking NIPS 2013
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine ACML 2013
Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning ACML 2013
Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013
Nyström Approximation for Large-Scale Determinantal Processes AISTATS 2013
Ultrahigh Dimensional Feature Screening via RKHS Embeddings AISTATS 2013
Convex Collective Matrix Factorization AISTATS 2013
Uncover Topic-Sensitive Information Diffusion Networks AISTATS 2013
Beyond Sentiment: The Manifold of Human Emotions AISTATS 2013
Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions AISTATS 2013
Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013
Detecting Activations over Graphs using Spanning Tree Wavelet Bases AISTATS 2013
Greedy Bilateral Sketch, Completion & Smoothing AISTATS 2013
Excess risk bounds for multitask learning with trace norm regularization COLT 2013
A Tensor Spectral Approach to Learning Mixed Membership Community Models COLT 2013
Bringing Semantics into Focus Using Visual Abstraction CVPR 2013
Sparse Quantization for Patch Description CVPR 2013
Multipath Sparse Coding Using Hierarchical Matching Pursuit CVPR 2013
Dense Object Reconstruction with Semantic Priors CVPR 2013
Dictionary Learning from Ambiguously Labeled Data CVPR 2013