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Three-Player Wasserstein Generative Adversarial Network (3P-WGAN)

Code to reproduce the results in the paper 'Three-player Wasserstein GAN via amortised duality', IJCAI 2019.

Tested with Python 3.6.

Run the model with the recommended values for hyperparameters:

python main.py

Citation

Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, and Dinh Phung. 'Three-player Wasserstein GAN via amortised duality'. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 2202โ€“2208, Macau, China, August 2019. International Joint Conferences on Artificial Intelligence Organization.

Bibtex

@InProceedings{dam_etal_ijcai19_3pwgan,
  author    = {Nhan Dam and Quan Hoang and Trung Le and Tu Dinh Nguyen and Hung Bui and Dinh Phung},
  title     = {Three-player {W}asserstein {GAN} via amortised duality},
  booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},             
  pages     = {2202--2208},
  year      = {2019},
  month     = {July},
  address   = {Macau, China}
}

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Contributors

nhandam avatar

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