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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

Neural Discrete Representation Learning NIPS 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NIPS 2017
Hiding Images in Plain Sight: Deep Steganography NIPS 2017
Unsupervised Transformation Learning via Convex Relaxations NIPS 2017
Deep Learning with Topological Signatures NIPS 2017
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium NIPS 2017
Neural system identification for large populations separating “what” and “where” NIPS 2017
Controllable Invariance through Adversarial Feature Learning NIPS 2017
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications NIPS 2017
Subset Selection and Summarization in Sequential Data NIPS 2017
Learning Neural Representations of Human Cognition across Many fMRI Studies NIPS 2017
An Empirical Study on The Properties of Random Bases for Kernel Methods NIPS 2017
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network NIPS 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models NIPS 2017
Scalable Model Selection for Belief Networks NIPS 2017
Sparse convolutional coding for neuronal assembly detection NIPS 2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models NIPS 2017
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation NIPS 2017
Gaussian process based nonlinear latent structure discovery in multivariate spike train data NIPS 2017
From which world is your graph NIPS 2017
Structured Embedding Models for Grouped Data NIPS 2017
Structured Generative Adversarial Networks NIPS 2017
Dynamic-Depth Context Tree Weighting NIPS 2017
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NIPS 2017
Eigen-Distortions of Hierarchical Representations NIPS 2017