<?xml version="1.0" encoding="UTF-8"?><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>generative-adversarial-nets-2022-005</dc:title><dc:creator>Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio</dc:creator><dc:date>2022</dc:date><dc:description>This record links to the original GAN paper, which introduced adversarial training between a generator and a discriminator. The document is useful for validating machine learning topics, external PDF handling, citation metadata, and repository discovery features.</dc:description><dc:identifier>https://inrepscholar.com/projects/944</dc:identifier></oai_dc:dc>