https://github.com/jakezhaojb/ARAE

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun
https://github.com/jakezhaojb/ARAE

Last synced: about 2 months ago
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Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

• Host: GitHub
• URL: https://github.com/jakezhaojb/ARAE
• Owner: jakezhaojb
• License: bsd-3-clause
• Created: 2017-06-08T05:17:24.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2020-04-11T03:16:08.000Z (about 4 years ago)
• Last Synced: 2024-03-18T17:50:38.875Z (3 months ago)
• Language: Python
• Homepage:
• Size: 8.26 MB
• Stars: 401
• Watchers: 20
• Forks: 92
• Open Issues: 19
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Lists

• Awesome-pytorch-list - ARAE
• Awesome-pytorch-list-CNVersion - ARAE

README

        
# ARAE

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun https://arxiv.org/abs/1706.04223

## Disclaimer

Major updates on 06/11/2018:

* WGAN-GP replaced WGAN

* added 1BWord dataset experiment

* added Yelp transfer experiment

* removed unnecessary tricks

* added both RNNLM and ngram-LM evaluation for both forward and reverse PPL.

## File structure

* lang: ARAE for language generation, on both 1B word benchmark and SNLI

* yelp: ARAE for language style transfer

* mnist (in Torch): ARAE for discretized MNIST

## Reference

```

@ARTICLE{2017arXiv170604223J,

   author = {{Junbo} and {Zhao} and {Kim}, Y. and {Zhang}, K. and {Rush}, A.~M. and 

	{LeCun}, Y.},

    title = "{Adversarially Regularized Autoencoders for Generating Discrete Structures}",

  journal = {ArXiv e-prints},

archivePrefix = "arXiv",

   eprint = {1706.04223},

 primaryClass = "cs.LG",

 keywords = {Computer Science - Learning, Computer Science - Computation and Language, Computer Science - Neural and Evolutionary Computing},

     year = 2017,

    month = jun,

   adsurl = {http://adsabs.harvard.edu/abs/2017arXiv170604223J},

  adsnote = {Provided by the SAO/NASA Astrophysics Data System}

}

```