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2024 ICML ICML 2024

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Application Areas > Domain Adaptation Deep Learning > Models > Generative Models

Keywords

computational efficiency outlier detection multimodal data inlier-memorization effect likelihood-based deep generative models under-fitted dgms
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