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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Online PCA for Contaminated Data NIPS 2013
Spectral methods for neural characterization using generalized quadratic models NIPS 2013
Sparse Inverse Covariance Estimation with Calibration NIPS 2013
Multisensory Encoding, Decoding, and Identification NIPS 2013
Learning invariant representations and applications to face verification NIPS 2013
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NIPS 2013
Nonparametric Multi-group Membership Model for Dynamic Networks NIPS 2013
Deep content-based music recommendation NIPS 2013
Latent Structured Active Learning NIPS 2013
On Algorithms for Sparse Multi-factor NMF NIPS 2013
On the Sample Complexity of Subspace Learning NIPS 2013
A New Convex Relaxation for Tensor Completion NIPS 2013
Neural representation of action sequences: how far can a simple snippet-matching model take us? NIPS 2013
The Fast Convergence of Incremental PCA NIPS 2013
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NIPS 2013
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NIPS 2013
Learning Stochastic Feedforward Neural Networks NIPS 2013
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NIPS 2013
Learning word embeddings efficiently with noise-contrastive estimation NIPS 2013
Understanding variable importances in forests of randomized trees NIPS 2013
Message Passing Inference with Chemical Reaction Networks NIPS 2013
Unsupervised Spectral Learning of Finite State Transducers NIPS 2013
One-shot learning and big data with n=2 NIPS 2013
Density estimation from unweighted k-nearest neighbor graphs: a roadmap NIPS 2013
Probabilistic Principal Geodesic Analysis NIPS 2013