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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

Learning step sizes for unfolded sparse coding NIPS 2019
Re-examination of the Role of Latent Variables in Sequence Modeling NIPS 2019
Deep Signature Transforms NIPS 2019
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies NIPS 2019
Learning Disentangled Representation for Robust Person Re-identification NIPS 2019
Learning Deterministic Weighted Automata with Queries and Counterexamples NIPS 2019
Manifold-regression to predict from MEG/EEG brain signals without source modeling NIPS 2019
Neural Machine Translation with Soft Prototype NIPS 2019
Recurrent Kernel Networks NIPS 2019
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians NIPS 2019
Unsupervised learning of object structure and dynamics from videos NIPS 2019
Differentiable Ranking and Sorting using Optimal Transport NIPS 2019
Quaternion Knowledge Graph Embeddings NIPS 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset NIPS 2019
Unsupervised Learning of Object Keypoints for Perception and Control NIPS 2019
A Refined Margin Distribution Analysis for Forest Representation Learning NIPS 2019
On Exact Computation with an Infinitely Wide Neural Net NIPS 2019
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity NIPS 2019
Conditional Independence Testing using Generative Adversarial Networks NIPS 2019
Learning Representations by Maximizing Mutual Information Across Views NIPS 2019
Discrete Flows: Invertible Generative Models of Discrete Data NIPS 2019
Disentangled behavioural representations NIPS 2019
Online-Within-Online Meta-Learning NIPS 2019
Adversarial Examples Are Not Bugs, They Are Features NIPS 2019
Fast structure learning with modular regularization NIPS 2019