Byeonghu Na

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Active Learning

Maximum Likelihood

Diffusion Models

Semantic Features

Top Venues

Publications

Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
Label-Noise Robust Diffusion Models. CoRR (2024)
Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning. CoRR (2024)
HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. CoRR (2024)
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon
Training Unbiased Diffusion Models From Biased Dataset. CoRR (2024)
Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon
Reward-based Input Construction for Cross-document Relation Extraction. CoRR (2024)
Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon
Unknown Domain Inconsistency Minimization for Domain Generalization. CoRR (2024)
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
Label-Noise Robust Diffusion Models. ICLR (2024)
Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon
Reward-based Input Construction for Cross-document Relation Extraction. ACL (1) (2024)
HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. ICLR (2024)
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon
Training Unbiased Diffusion Models From Biased Dataset. ICLR (2024)
Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon
Diffusion Rejection Sampling. CoRR (2024)
Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon
Unknown Domain Inconsistency Minimization for Domain Generalization. ICLR (2024)
Suhyeon Jo, DongHyeok Shin, Byeonghu Na, JoonHo Jang, Il-Chul Moon
Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. CIKM (2023)
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)
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models. CoRR (2022)
Byeonghu Na, Yoonsik Kim, Sungrae Park
Multi-modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features. ECCV (28) (2022)
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model. NeurIPS (2022)
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)
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 (2022)
JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. CoRR (2022)
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)
Byeonghu Na, Yoonsik Kim, Sungrae Park
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features. CoRR (2021)
Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon
Deep Generative Positive-Unlabeled Learning under Selection Bias. CIKM (2020)