HeeSun Bae
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
4
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Distilling Dataset into Neural Field. | Donghyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-Chul Moon |
| 2024 | AAAI | Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. | Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon |
| 2024 | ICLR | Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. | HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon |
| 2024 | ICLR | Label-Noise Robust Diffusion Models. | Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon |
| 2024 | ICLR | Unknown Domain Inconsistency Minimization for Domain Generalization. | Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon |
| 2023 | AISTATS | Loss-Curvature Matching for Dataset Selection and Condensation. | Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon |
| 2022 | ICML | 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 |