HeeSun Bae

17 papers A* 6A 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment.
CoRR
Byeonghu Na, Hyungho Na, Yeongmin Kim, Suhyeon Jo, HeeSun Bae, Mina Kang, Il-Chul Moon
2025 J jnl
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models.
CoRR
Byeonghu Na, Minsang Park, Gyuwon Sim, DongHyeok Shin, HeeSun Bae, Mina Kang, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2025 A* conf
Distilling Dataset into Neural Field.
ICLR
DongHyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-Chul Moon
2025 J jnl
Distilling Dataset into Neural Field.
CoRR
DongHyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-Chul Moon
2025 J jnl
Preference Optimization by Estimating the Ratio of the Data Distribution.
CoRR
Yeongmin Kim, HeeSun Bae, Byeonghu Na, Il-Chul Moon
2024 A* conf
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning.
ICLR
HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon
2024 J jnl
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning.
CoRR
HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon
2024 A* conf
Label-Noise Robust Diffusion Models.
ICLR
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2024 J jnl
Label-Noise Robust Diffusion Models.
CoRR
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2024 A* conf
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior.
AAAI
Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon
2024 J jnl
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior.
CoRR
Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon
2024 A* conf
Unknown Domain Inconsistency Minimization for Domain Generalization.
ICLR
Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon
2024 J jnl
Unknown Domain Inconsistency Minimization for Domain Generalization.
CoRR
Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon
2023 A conf
Loss-Curvature Matching for Dataset Selection and Condensation.
AISTATS
Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon
2023 J jnl
Loss-Curvature Matching for Dataset Selection and Condensation.
CoRR
Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon
2022 A* conf
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model.
ICML
HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon
2022 J jnl
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model.
CoRR
HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon