Byeonghu Na

33 papers A* 10A 2Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models.
CoRR
Yeongmin Kim, DongHyeok Shin, Byeonghu Na, Minsang Park, Richard Lee Kim, Il-Chul Moon
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
AMiD: Knowledge Distillation for LLMs with α-mixture Assistant Distribution.
CoRR
DongHyeok Shin, Yeongmin Kim, Suhyeon Jo, Byeonghu Na, 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
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning.
ICLR
Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon
2025 J jnl
Distillation of Large Language Models via Concrete Score Matching.
CoRR
Yeongmin Kim, DongHyeok Shin, Mina Kang, Byeonghu Na, 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
2025 J jnl
Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models.
CoRR
Jiwoo Shin, Byeonghu Na, Mina Kang, Wonhyeok Choi, Il-Chul Moon
2025 J jnl
Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models.
CoRR
Byeonghu Na, Mina Kang, Jiseok Kwak, Minsang Park, Jiwoo Shin, SeJoon Jun, Gayoung Lee, Jin-Hwa Kim, Il-Chul Moon
2024 J jnl
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning.
CoRR
Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon
2024 A* conf
Diffusion Rejection Sampling.
ICML
Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon
2024 J jnl
Diffusion Rejection Sampling.
CoRR
Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, 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 — conf
Reward-based Input Construction for Cross-document Relation Extraction.
ACL (1)
Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon
2024 J jnl
Reward-based Input Construction for Cross-document Relation Extraction.
CoRR
Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon
2024 A* conf
Training Unbiased Diffusion Models From Biased Dataset.
ICLR
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon
2024 J jnl
Training Unbiased Diffusion Models From Biased Dataset.
CoRR
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, 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
Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy.
CIKM
Suhyeon Jo, DongHyeok Shin, Byeonghu Na, JoonHo Jang, Il-Chul Moon
2023 A* conf
SAAL: Sharpness-Aware Active Learning.
ICML
Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, 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
2022 A* conf
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model.
NeurIPS
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
2022 J jnl
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models.
CoRR
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
2022 — conf
Multi-modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features.
ECCV (28)
Byeonghu Na, Yoonsik Kim, Sungrae Park
2022 A* conf
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation.
NeurIPS
JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon
2022 J jnl
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation.
CoRR
JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon
2021 J jnl
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features.
CoRR
Byeonghu Na, Yoonsik Kim, Sungrae Park
2020 A conf
Deep Generative Positive-Unlabeled Learning under Selection Bias.
CIKM
Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon