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Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
2283
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Papers

Deep Convolutional Inverse Graphics Network NIPS 2015
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning NIPS 2015
Optimal Rates for Random Fourier Features NIPS 2015
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NIPS 2015
Column Selection via Adaptive Sampling NIPS 2015
Discriminative Robust Transformation Learning NIPS 2015
Deep Poisson Factor Modeling NIPS 2015
Embedding Inference for Structured Multilabel Prediction NIPS 2015
Deeply Learning the Messages in Message Passing Inference NIPS 2015
Collaboratively Learning Preferences from Ordinal Data NIPS 2015
Rectified Factor Networks NIPS 2015
Deep Visual Analogy-Making NIPS 2015
Rate-Agnostic (Causal) Structure Learning NIPS 2015
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments NIPS 2015
Orthogonal NMF through Subspace Exploration NIPS 2015
Sum-of-Squares Lower Bounds for Sparse PCA NIPS 2015
Learning to Linearize Under Uncertainty NIPS 2015
Matrix Completion Under Monotonic Single Index Models NIPS 2015
The Poisson Gamma Belief Network NIPS 2015
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial NIPS 2015
Skip-Thought Vectors NIPS 2015
Collaborative Filtering with Graph Information: Consistency and Scalable Methods NIPS 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints NIPS 2015
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring NIPS 2015
Local Causal Discovery of Direct Causes and Effects NIPS 2015