Jang, Taeuk

10 publications

ICML 2025 On the Alignment Between Fairness and Accuracy: From the Perspective of Adversarial Robustness Junyi Chai, Taeuk Jang, Jing Gao, Xiaoqian Wang

ICCV 2025 Target Bias Is All You Need: Zero-Shot Debiasing of Vision-Language Models with Bias Corpus Taeuk Jang, Hoin Jung, Xiaoqian Wang

NeurIPS 2024 A Unified Debiasing Approach for Vision-Language Models Across Modalities and Tasks Hoin Jung, Taeuk Jang, Xiaoqian Wang

AISTATS 2024 Achieving Fairness Through Separability: A Unified Framework for Fair Representation Learning Taeuk Jang, Hongchang Gao, Pengyi Shi, Xiaoqian Wang

AAAI 2024 Adversarial Fairness Network Taeuk Jang, Xiaoqian Wang, Heng Huang

CVPR 2024 FADES: Fair Disentanglement with Sensitive Relevance Taeuk Jang, Xiaoqian Wang

CVPR 2023 Difficulty-Based Sampling for Debiased Contrastive Representation Learning Taeuk Jang, Xiaoqian Wang

NeurIPS 2022 Fairness Without Demographics Through Knowledge Distillation Junyi Chai, Taeuk Jang, Xiaoqian Wang

AAAI 2022 Group-Aware Threshold Adaptation for Fair Classification Taeuk Jang, Pengyi Shi, Xiaoqian Wang

AAAI 2021 Constructing a Fair Classifier with Generated Fair Data Taeuk Jang, Feng Zheng, Xiaoqian Wang