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Representation Learning

18863 directly classified papers

Papers per year

Papers

Understanding and Evaluating Sparse Linear Discriminant Analysis AISTATS 2015
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection ICCV 2015
Pointer Networks NIPS 2015
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NIPS 2015
Fast and Memory Optimal Low-Rank Matrix Approximation NIPS 2015
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NIPS 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems NIPS 2015
Winner-Take-All Autoencoders NIPS 2015
Optimal Rates for Random Fourier Features NIPS 2015
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NIPS 2015
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NIPS 2015
Learning Descriptors for Object Recognition and 3D Pose Estimation CVPR 2015
Column Selection via Adaptive Sampling NIPS 2015
Robust PCA with compressed data NIPS 2015
Part-Based Modelling of Compound Scenes From Images CVPR 2015
Compressive spectral embedding: sidestepping the SVD NIPS 2015
Collaboratively Learning Preferences from Ordinal Data NIPS 2015
Approximating Sparse PCA from Incomplete Data NIPS 2015
Discovering States and Transformations in Image Collections CVPR 2015
Orthogonal NMF through Subspace Exploration NIPS 2015
Learning Structured Output Representation using Deep Conditional Generative Models NIPS 2015
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring NIPS 2015
Learning to Transduce with Unbounded Memory NIPS 2015
Analysis of Robust PCA via Local Incoherence NIPS 2015
Local Causal Discovery of Direct Causes and Effects NIPS 2015