Exploring Practitioner Perspectives On Training Data Attribution Explanations

no code implementations • 31 Oct 2023 • Elisa Nguyen, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh

Explainable AI (XAI) aims to provide insight into opaque model reasoning to humans and as such is an interdisciplinary field by nature.

Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts

3 code implementations • 30 Mar 2023 • Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh

We refer to the new paradigm of training models with annotation byproducts as learning using annotation byproducts (LUAB).

Time Series

Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts

1 code implementation • ICCV 2023 • Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh

We refer to the new paradigm of training models with annotation byproducts as learning using annotation byproducts (LUAB).

Time Series