Jang, JoonHo

8 publications

ICLR 2024 Training Unbiased Diffusion Models from Biased Dataset Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-chul Moon

ICML 2023 SAAL: Sharpness-Aware Active Learning Yoon-Yeong Kim, Youngjae Cho, Joonho Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

ICML 2022 From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model Heesun Bae, Seungjae Shin, Byeonghu Na, Joonho Jang, Kyungwoo Song, Il-Chul Moon

ICMLW 2022 Improving Group-Based Robustness and Calibration via Ordered Risk and Confidence Regularization Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, Il-chul Moon

NeurIPS 2022 Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation JoonHo Jang, Byeonghu Na, Dong Hyeok Shin, Mingi Ji, Kyungwoo Song, Il-chul Moon

AAAI 2021 Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon

NeurIPS 2021 LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-chul Moon

AAAI 2020 Bivariate Beta-LSTM Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon