DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision

1 code implementation • 15 Mar 2023 • Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha

Algorithmic fairness has become an important machine learning problem, especially for mission-critical Web applications.

counterfactual Fairness +2

Self-explaining deep models with logic rule reasoning

1 code implementation • 13 Oct 2022 • Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha

We present SELOR, a framework for integrating self-explaining capabilities into a given deep model to achieve both high prediction performance and human precision.

Elsa: Energy-based learning for semi-supervised anomaly detection

no code implementations • 29 Mar 2021 • Sungwon Han, Hyeonho Song, Seungeon Lee, Sungwon Park, Meeyoung Cha

Anomaly detection aims at identifying deviant instances from the normal data distribution.

Contrastive Learning Semi-supervised Anomaly Detection +1