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Representation Learning

18863 directly classified papers

Papers per year

Papers

k-Prototype Learning for 3D Rigid Structures NIPS 2013
Probabilistic Principal Geodesic Analysis NIPS 2013
Density estimation from unweighted k-nearest neighbor graphs: a roadmap NIPS 2013
One-shot learning and big data with n=2 NIPS 2013
Unsupervised Spectral Learning of Finite State Transducers NIPS 2013
Message Passing Inference with Chemical Reaction Networks NIPS 2013
Understanding variable importances in forests of randomized trees NIPS 2013
Learning word embeddings efficiently with noise-contrastive estimation NIPS 2013
Learning Stochastic Feedforward Neural Networks NIPS 2013
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NIPS 2013
On the Sample Complexity of Subspace Learning NIPS 2013
Latent Structured Active Learning NIPS 2013
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NIPS 2013
Learning invariant representations and applications to face verification NIPS 2013
Sparse Inverse Covariance Estimation with Calibration NIPS 2013
Spectral methods for neural characterization using generalized quadratic models NIPS 2013
Similarity Component Analysis NIPS 2013
Online PCA for Contaminated Data NIPS 2013
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NIPS 2013
Learning Stochastic Inverses NIPS 2013
Pass-efficient unsupervised feature selection NIPS 2013
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion NIPS 2013
One-shot learning by inverting a compositional causal process NIPS 2013
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NIPS 2013
Learning the Local Statistics of Optical Flow NIPS 2013