Life & fun · September 22, 2020
Adversarial Generation of Extreme Samples
Abstract page for arXiv paper 2009.08454: ExGAN: Adversarial Generation of Extreme Samples
Adversarial Generation of Extreme Samples launched on September 22, 2020 with 35 votes, #861 of 3,898 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
Adversarial Generation of Extreme Samples is a research paper published on arXiv that explores methods for creating extreme or unusual data samples through adversarial techniques. It is intended for researchers and machine learning practitioners interested in data generation and robustness testing. The work focuses on using adversarial approaches to produce edge cases and outlier examples that can help test and improve machine learning models.
written from the facts on this page · September 2026
From the sources
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabsfrom arxiv.org
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