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ORCIDIl-Chul Moon
- > Home > Persons > Il-Chul Moon
Publications
- 2025
[c70]Donghyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-Chul Moon:
Distilling Dataset into Neural Field. ICLR 2025- [i43]DongHyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-Chul Moon:
Distilling Dataset into Neural Field. CoRR abs/2503.04835 (2025) - [i42]Yeongmin Kim, HeeSun Bae, Byeonghu Na, Il-Chul Moon:
Preference Optimization by Estimating the Ratio of the Data Distribution. CoRR abs/2505.19601 (2025) - [i39]Byeonghu Na, Minsang Park, Gyuwon Sim, Donghyeok Shin, HeeSun Bae, Mina Kang, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models. CoRR abs/2510.23974 (2025) - 2024
- [c69]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: 11552-11560 - [c67]HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon:
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. ICLR 2024 - [c65]Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Label-Noise Robust Diffusion Models. ICLR 2024 - [c63]Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon:
Unknown Domain Inconsistency Minimization for Domain Generalization. ICLR 2024 - [i36]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 abs/2401.06799 (2024) - [i35]Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Label-Noise Robust Diffusion Models. CoRR abs/2402.17517 (2024) - [i32]HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon:
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. CoRR abs/2403.02690 (2024) - [i31]Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim
, Il-Chul Moon:
Unknown Domain Inconsistency Minimization for Domain Generalization. CoRR abs/2403.07329 (2024) - 2023
- [c59]Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon:
Loss-Curvature Matching for Dataset Selection and Condensation. AISTATS 2023: 8606-8628 - [i26]Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon:
Loss-Curvature Matching for Dataset Selection and Condensation. CoRR abs/2303.04449 (2023) - 2022
- [c51]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: 1277-1297 - [i23]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 abs/2205.00690 (2022)
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