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ORCIDIl-Chul Moon
- > Home > Persons > Il-Chul Moon
Publications
- 2025
[c72]Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon:
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning. ICLR 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) - [i41]Yeongmin Kim, Donghyeok Shin, Mina Kang, Byeonghu Na, Il-Chul Moon:
Distillation of Large Language Models via Concrete Score Matching. CoRR abs/2509.25837 (2025) - [i40]Donghyeok Shin, Yeongmin Kim, Suhyeon Jo, Byeonghu Na, Il-Chul Moon:
AMiD: Knowledge Distillation for LLMs with α-mixture Assistant Distribution. CoRR abs/2510.15982 (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) - [i38]Byeonghu Na, Mina Kang, Jiseok Kwak, Minsang Park, Jiwoo Shin, SeJoon Jun, Gayoung Lee, Jin-Hwa Kim, Il-Chul Moon:
Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models. CoRR abs/2510.24012 (2025) - [i37]Jiwoo Shin, Byeonghu Na, Mina Kang, Wonhyeok Choi, Il-Chul Moon:
Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models. CoRR abs/2511.04834 (2025) - 2024
- [c68]Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon:
Reward-based Input Construction for Cross-document Relation Extraction. ACL (1) 2024: 9254-9270 - [c67]HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon:
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. ICLR 2024 - [c66]Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. 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 - [c62]Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon:
Diffusion Rejection Sampling. ICML 2024: 37097-37121 - [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) - [i33]Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. CoRR abs/2403.01189 (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) - [i30]Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon:
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning. CoRR abs/2405.17111 (2024) - [i29]Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon:
Diffusion Rejection Sampling. CoRR abs/2405.17880 (2024) - [i27]Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon:
Reward-based Input Construction for Cross-document Relation Extraction. CoRR abs/2405.20649 (2024) - 2023
- [c57]Suhyeon Jo, DongHyeok Shin, Byeonghu Na, JoonHo Jang, Il-Chul Moon:
Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. CIKM 2023: 1025-1034 - [c56]Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon:
SAAL: Sharpness-Aware Active Learning. ICML 2023: 16424-16440 - 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 - [c49]JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon:
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. NeurIPS 2022 - [c48]Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon:
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model. NeurIPS 2022 - [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) - [i22]Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon:
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models. CoRR abs/2205.13699 (2022) - [i21]JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon:
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. CoRR abs/2206.07551 (2022) - 2020
- [c39]Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon:
Deep Generative Positive-Unlabeled Learning under Selection Bias. CIKM 2020: 1155-1164
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