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Representation Learning

18863 directly classified papers

Papers per year

Papers

Contrastive Learning Using Spectral Methods NIPS 2013
Perfect Associative Learning with Spike-Timing-Dependent Plasticity NIPS 2013
A Novel Two-Step Method for Cross Language Representation Learning NIPS 2013
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NIPS 2013
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NIPS 2013
Convex Tensor Decomposition via Structured Schatten Norm Regularization NIPS 2013
Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning ACML 2013
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream NIPS 2013
Latent Maximum Margin Clustering NIPS 2013
Multilinear Dynamical Systems for Tensor Time Series NIPS 2013
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NIPS 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NIPS 2013
A Deep Architecture for Matching Short Texts NIPS 2013
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NIPS 2013
Analyzing the Harmonic Structure in Graph-Based Learning NIPS 2013
Correlated random features for fast semi-supervised learning NIPS 2013
Sparse Additive Text Models with Low Rank Background NIPS 2013
Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013
Distance Preserving Embeddings for General n-Dimensional Manifolds JMLR 2013
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NIPS 2013
Least Informative Dimensions NIPS 2013
On the Representational Efficiency of Restricted Boltzmann Machines NIPS 2013
Σ-Optimality for Active Learning on Gaussian Random Fields NIPS 2013
Memory Limited, Streaming PCA NIPS 2013
Supervised Sparse Analysis and Synthesis Operators NIPS 2013