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Jaehoon Oh
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2020 – today
- 2024
- [c12]Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun:
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning. CVPR 2024: 12512-12522 - [c11]Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, SangMook Kim, Se-Young Yun:
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization. EMNLP (Findings) 2024: 6804-6820 - [i18]Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun:
BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models. CoRR abs/2407.00693 (2024) - [i17]Jaehoon Oh, Seungjun Shin, Dokwan Oh:
House of Cards: Massive Weights in LLMs. CoRR abs/2410.01866 (2024) - 2023
- [j5]Yongrae Kim, Hyunmin Gwak, Jaehoon Oh, Minho Kang, Jinkyu Kim, Hyun Kwon, Sunghwan Kim:
CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation. IEEE Access 11: 16984-16993 (2023) - [j4]Myeong Seong Yoon, Gitaek Kwon, Jaehoon Oh, Jongbin Ryu, Jongwoo Lim, Bokyeong Kang, Juncheol Lee, Dongkyoon Han:
Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography. J. Digit. Imaging 36(3): 1237-1247 (2023) - [i16]Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun:
FedSoL: Bridging Global Alignment and Local Generality in Federated Learning. CoRR abs/2308.12532 (2023) - [i15]Seongha Eom, Namgyu Ho, Jaehoon Oh, Se-Young Yun:
Cross-Modal Retrieval Meets Inference: Improving Zero-Shot Classification with Cross-Modal Retrieval. CoRR abs/2308.15273 (2023) - [i14]Seongyoon Kim, Gihun Lee, Jaehoon Oh, Se-Young Yun:
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning. CoRR abs/2311.13267 (2023) - 2022
- [c10]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CIKM 2022: 4359-4363 - [c9]Jaehoon Oh, Jongwoo Ko, Se-Young Yun:
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. EMNLP 2022: 6747-6754 - [c8]Jaehoon Oh, Sangmook Kim, Se-Young Yun:
FedBABU: Toward Enhanced Representation for Federated Image Classification. ICLR 2022 - [c7]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. NeurIPS 2022 - [i13]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
Understanding Cross-Domain Few-Shot Learning: An Experimental Study. CoRR abs/2202.01339 (2022) - [i12]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CoRR abs/2205.05282 (2022) - [i11]Yujin Kim, Jaehoon Oh, Sungnyun Kim, Se-Young Yun:
Revisiting the Updates of a Pre-trained Model for Few-shot Learning. CoRR abs/2205.07874 (2022) - [i10]Jaehoon Oh, Se-Young Yun:
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning. CoRR abs/2206.10596 (2022) - [i9]Jaehoon Oh, Jongwoo Ko, Se-Young Yun:
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. CoRR abs/2210.09588 (2022) - 2021
- [j3]Junwon Bae, Sangjoon Yu, Jaehoon Oh, Tae Hyun Kim, Jae Ho Chung, Hayoung Byun, Myeong Seong Yoon, Chiwon Ahn, Dong Keon Lee:
External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray. J. Digit. Imaging 34(5): 1099-1109 (2021) - [c6]Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun:
BOIL: Towards Representation Change for Few-shot Learning. ICLR 2021 - [c5]Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun:
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. IJCAI 2021: 2628-2635 - [i8]Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun:
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. CoRR abs/2105.08919 (2021) - [i7]Jaehoon Oh, Sangmook Kim, Se-Young Yun:
FedBABU: Towards Enhanced Representation for Federated Image Classification. CoRR abs/2106.06042 (2021) - 2020
- [c4]Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun:
SIPA: A Simple Framework for Efficient Networks. ICDM (Workshops) 2020: 729-736 - [i6]Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun:
SIPA: A Simple Framework for Efficient Networks. CoRR abs/2004.14476 (2020) - [i5]Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun:
Does MAML really want feature reuse only? CoRR abs/2008.08882 (2020) - [i4]Jin-Woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, Jae-Gil Lee:
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture. CoRR abs/2012.03214 (2020) - [i3]Jin-Woo Lee, Jaehoon Oh, Yooju Shin, Jae-Gil Lee, Se-Young Yoon:
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping. CoRR abs/2012.04857 (2020)
2010 – 2019
- 2019
- [c3]Jaehoon Oh, Sangmook Kim, Se-Young Yun, Seungwoo Choi, Mun Yong Yi:
A pipelined hybrid recommender system for ranking the items on the display. RecSys Challenge 2019: 9:1-9:5 - 2018
- [c2]Jaehoon Oh, Injung Lee, Yeon Seonwoo, Simin Sung, Ilbong Kwon, Jae-Gil Lee:
TED Talk Recommender Using Speech Transcripts. ASONAM 2018: 598-600 - [i2]Jaehoon Oh, Injung Lee, Yeon Seonwoo, Simin Sung, Ilbong Kwon, Jae-Gil Lee:
TED Talk Recommender Using Speech Transcripts. CoRR abs/1809.05350 (2018) - [i1]Jaehoon Oh, Duyeon Kim, Se-Young Yun:
Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source. CoRR abs/1810.11520 (2018) - 2017
- [j2]Yoonje Lee, Changsun Kim, Hyuk Joong Choi, Bossng Kang, Jaehoon Oh, Tae Ho Lim:
A Feasibility Study of Telementoring for Identifying the Appendix Using Smartphone-Based Telesonography. J. Digit. Imaging 30(2): 148-155 (2017) - 2016
- [j1]Changsun Kim, Hyunmin Cha, Bo Seung Kang, Hyuk Joong Choi, Tae Ho Lim, Jaehoon Oh:
A Feasibility Study of Smartphone-Based Telesonography for Evaluating Cardiac Dynamic Function and Diagnosing Acute Appendicitis with Control of the Image Quality of the Transmitted Videos. J. Digit. Imaging 29(3): 347-356 (2016) - 2013
- [c1]Yeongtak Song, Jaehoon Oh, Tae Ho Lim, Youngjoon Chee:
A new method to increase the quality of cardiopulmonary resuscitation in hospital. EMBC 2013: 469-472
Coauthor Index
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last updated on 2024-11-19 21:45 CET by the dblp team
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