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Representation Learning

18863 directly classified papers

Papers per year

Papers

Learning optimal spike-based representations NIPS 2012
Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA NIPS 2012
Multi-Stage Multi-Task Feature Learning NIPS 2012
Regularized Off-Policy TD-Learning NIPS 2012
Analog readout for optical reservoir computers NIPS 2012
Persistent Homology for Learning Densities with Bounded Support NIPS 2012
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection NIPS 2012
Kernel Hyperalignment NIPS 2012
Discriminatively Trained Sparse Code Gradients for Contour Detection NIPS 2012
A dynamic excitatory-inhibitory network in a VLSI chip for spiking information reregistrations NIPS 2012
Learning Invariant Representations of Molecules for Atomization Energy Prediction NIPS 2012
Convex Multi-view Subspace Learning NIPS 2012
A latent factor model for highly multi-relational data NIPS 2012
Learning Image Descriptors with the Boosting-Trick NIPS 2012
Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NIPS 2012
Factoring nonnegative matrices with linear programs NIPS 2012
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss NIPS 2012
A Hybrid Neural Network-Latent Topic Model AISTATS 2012
Multiresolution Deep Belief Networks AISTATS 2012
Copula Network Classifiers (CNCs) AISTATS 2012
Learning Fourier Sparse Set Functions AISTATS 2012
Low rank continuous-space graphical models AISTATS 2012
Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012