Wasserstein Auto-Encoders: Difference between revisions

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= Introduction =
= Introduction =
The field of supervised representation learning has made impressive progress over the years by leveraging large labeled datasets. Recent years however, have seen a convergence of probabilistic generative modeling approaches and techniques to learn features from large datasets.
The field of supervised representation learning has made impressive progress over the years by leveraging large labeled datasets. Recent years have seen a convergence of unsupervised generative modeling approaches and techniques to learn features from high dimensional data.


= Motivation =
= Motivation =

Revision as of 22:32, 11 March 2018

Introduction

The field of supervised representation learning has made impressive progress over the years by leveraging large labeled datasets. Recent years have seen a convergence of unsupervised generative modeling approaches and techniques to learn features from high dimensional data.

Motivation

Proposed Method

Conclusion