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Representation Learning

18863 directly classified papers

Papers per year

Papers

A Matrix Decomposition Perspective to Multiple Graph Matching ICCV 2015
PatchMatch-Based Automatic Lattice Detection for Near-Regular Textures ICCV 2015
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring NIPS 2015
Compressive spectral embedding: sidestepping the SVD NIPS 2015
Inferring Block Structure of Graphical Models in Exponential Families AISTATS 2015
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA JMLR 2015
When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity JMLR 2015
Natural Neural Networks NIPS 2015
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NIPS 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets NIPS 2015
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NIPS 2015
Continuous Visibility Feature CVPR 2015
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NIPS 2015
Approximating Sparse PCA from Incomplete Data NIPS 2015
Sum-of-Squares Lower Bounds for Sparse PCA NIPS 2015
Light Field From Micro-Baseline Image Pair CVPR 2015
Learning Semantic Relationships for Better Action Retrieval in Images CVPR 2015
Discovering States and Transformations in Image Collections CVPR 2015
Learning Structured Output Representation using Deep Conditional Generative Models NIPS 2015
Deeply Learning the Messages in Message Passing Inference NIPS 2015
Learning to Linearize Under Uncertainty NIPS 2015
Multi-View Feature Engineering and Learning CVPR 2015
A fast, universal algorithm to learn parametric nonlinear embeddings NIPS 2015
Automatic Construction Of Robust Spherical Harmonic Subspaces CVPR 2015
Fast and Memory Optimal Low-Rank Matrix Approximation NIPS 2015