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Byeonghu Na
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2020 – today
- 2024
- [c13]Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon:
Reward-based Input Construction for Cross-document Relation Extraction. ACL (1) 2024: 9254-9270 - [c12]HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon:
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. ICLR 2024 - [c11]Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. ICLR 2024 - [c10]Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Label-Noise Robust Diffusion Models. ICLR 2024 - [c9]Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon:
Unknown Domain Inconsistency Minimization for Domain Generalization. ICLR 2024 - [c8]Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon:
Diffusion Rejection Sampling. ICML 2024 - [i11]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) - [i10]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) - [i9]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) - [i8]Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim
, Il-Chul Moon:
Unknown Domain Inconsistency Minimization for Domain Generalization. CoRR abs/2403.07329 (2024) - [i7]Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon:
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning. CoRR abs/2405.17111 (2024) - [i6]Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon:
Diffusion Rejection Sampling. CoRR abs/2405.17880 (2024) - [i5]Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon:
Reward-based Input Construction for Cross-document Relation Extraction. CoRR abs/2405.20649 (2024) - 2023
- [c7]Suhyeon Jo
Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. CIKM 2023: 1025-1034 - [c6]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
- [c5]Byeonghu Na
Multi-modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features. ECCV (28) 2022: 446-463 - [c4]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 - [c3]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 - [c2]Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon:
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model. NeurIPS 2022 - [i4]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) - [i3]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) - [i2]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) - 2021
- [i1]Byeonghu Na, Yoonsik Kim, Sungrae Park:
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features. CoRR abs/2111.15263 (2021) - 2020
- [c1]Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim
Deep Generative Positive-Unlabeled Learning under Selection Bias. CIKM 2020: 1155-1164
Coauthor Index
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