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2020 – today
- 2025
[j2]Hoyoon Byun, Sungjun Lim, Kyungwoo Song
:
GFML: Gravity function for metric learning. Eng. Appl. Artif. Intell. 139: 109463 (2025)- 2024
- [j1]Jeyoon Yeom, Hakyung Lee, Hoyoon Byun, Yewon Kim, Jeongeun Byun, Yunjeong Choi, Sungjin Kim, Kyungwoo Song:
Tc-llama 2: fine-tuning LLM for technology and commercialization applications. J. Big Data 11(1): 100 (2024) - [c3]Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song:
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. ECAI 2024: 2066-2073 - [c2]Hakyung Lee, Keon-Hee Park, Hoyoon Byun, Jeyoon Yeom, Jihee Kim, Gyeong-Moon Park, Kyungwoo Song:
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text. EMNLP (Findings) 2024: 14866-14882 - [i4]Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song:
Flat Posterior Does Matter For Bayesian Transfer Learning. CoRR abs/2406.15664 (2024) - [i3]Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song:
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. CoRR abs/2408.10107 (2024) - [i2]Kangjun Noh, Baekryun Seong, Hoyoon Byun, Youngjun Choi, Sungjin Song, Kyungwoo Song:
LBC: Language-Based-Classifier for Out-Of-Variable Generalization. CoRR abs/2408.10923 (2024) - 2023
- [c1]Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song:
Geodesic Multi-Modal Mixup for Robust Fine-Tuning. NeurIPS 2023 - 2022
- [i1]Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song:
Graph Perceiver IO: A General Architecture for Graph Structured Data. CoRR abs/2209.06418 (2022)
Coauthor Index
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