Jung, Sangwon

9 publications

CVPR 2025 Multi-Group Proportional Representations for Text-to-Image Models Sangwon Jung, Alex Oesterling, Claudio Mayrink Verdun, Sajani Vithana, Taesup Moon, Flavio P. Calmon

ICLR 2024 Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline Donggyu Lee, Sangwon Jung, Taesup Moon

NeurIPS 2024 Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- a Theoretical and Empirical Study Sangwon Jung, Sumin Yu, Sanghyuk Chun, Taesup Moon

ICML 2024 Listwise Reward Estimation for Offline Preference-Based Reinforcement Learning Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon

ICLR 2023 Re-Weighting Based Group Fairness Regularization via Classwise Robust Optimization Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon

ICML 2022 Dataset Condensation with Contrastive Signals Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon

CVPR 2022 Learning Fair Classifiers with Partially Annotated Group Labels Sangwon Jung, Sanghyuk Chun, Taesup Moon

CVPR 2021 Fair Feature Distillation for Visual Recognition Sangwon Jung, Donggyu Lee, Taeeon Park, Taesup Moon

NeurIPS 2020 Continual Learning with Node-Importance Based Adaptive Group Sparse Regularization Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon