Byeonghu Na

According to our database, Byeonghu Na authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unknown Domain Inconsistency Minimization for Domain Generalization.

Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon

CoRR, 2024

Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning.

HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon

CoRR, 2024

Training Unbiased Diffusion Models From Biased Dataset.

Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon

CoRR, 2024

Label-Noise Robust Diffusion Models.

Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon

CoRR, 2024

2023

SAAL: Sharpness-Aware Active Learning.

Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2023

Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy.

Suhyeon Jo, DongHyeok Shin, Byeonghu Na, JoonHo Jang, Il-Chul Moon

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Maximum Likelihood Training of Implicit Nonlinear Diffusion Models.

Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon

CoRR, 2022

Maximum Likelihood Training of Implicit Nonlinear Diffusion Model.

Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation.

JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model.

HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2022

Multi-modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features.

Byeonghu Na, Yoonsik Kim, Sungrae Park

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

Deep Generative Positive-Unlabeled Learning under Selection Bias.

Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020