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Representation Learning

2843 directly classified papers

Papers per year

Papers

Learning invariant representations and applications to face verification NIPS 2013
Latent Maximum Margin Clustering NIPS 2013
A Max-Margin Perspective on Sparse Representation-Based Classification ICCV 2013
Discriminative Re-ranking of Diverse Segmentations CVPR 2013
Boosting Binary Keypoint Descriptors CVPR 2013
Manifold-based Similarity Adaptation for Label Propagation NIPS 2013
One-shot learning and big data with n=2 NIPS 2013
On the Representational Efficiency of Restricted Boltzmann Machines NIPS 2013
Spectral methods for neural characterization using generalized quadratic models NIPS 2013
On Algorithms for Sparse Multi-factor NMF NIPS 2013
Factorial LDA: Sparse Multi-Dimensional Text Models NIPS 2012
Learning Partially Observable Models Using Temporally Abstract Decision Trees NIPS 2012
Emergence of Object-Selective Features in Unsupervised Feature Learning NIPS 2012
Learning optimal spike-based representations NIPS 2012
Learning Invariant Representations of Molecules for Atomization Energy Prediction NIPS 2012
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NIPS 2012
Learning as MAP Inference in Discrete Graphical Models NIPS 2012
Transferring Expectations in Model-based Reinforcement Learning NIPS 2012
A Neural Autoregressive Topic Model NIPS 2012
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NIPS 2012
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NIPS 2012
Cardinality Restricted Boltzmann Machines NIPS 2012
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NIPS 2012
Nonparametric Reduced Rank Regression NIPS 2012
Towards a learning-theoretic analysis of spike-timing dependent plasticity NIPS 2012