HeeSun Bae

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Bayesian Modeling

Diffusion Models

Top Venues

Publications

Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
Label-Noise Robust Diffusion Models. CoRR (2024)
HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. CoRR (2024)
Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon
Unknown Domain Inconsistency Minimization for Domain Generalization. CoRR (2024)
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
Label-Noise Robust Diffusion Models. ICLR (2024)
Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. CoRR (2024)
HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. ICLR (2024)
Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. AAAI (2024)
Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon
Unknown Domain Inconsistency Minimization for Domain Generalization. ICLR (2024)
Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon
Loss-Curvature Matching for Dataset Selection and Condensation. AISTATS (2023)
Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon
Loss-Curvature Matching for Dataset Selection and Condensation. CoRR (2023)
HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. ICML (2022)
HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. CoRR (2022)