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ORCIDSumyeong Ahn
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2020 – today
- 2024
[c9]Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee:
Active Prompt Learning in Vision Language Models. CVPR 2024: 26994-27004- [c8]Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun:
Fine-tuning Pre-trained Models for Robustness under Noisy Labels. IJCAI 2024: 3643-3651 - [i12]Jiankun Wang, Sumyeong Ahn, Taykhoom Dalal, Xiaodan Zhang, Weishen Pan, Qiannan Zhang, Bin Chen, Hiroko H. Dodge, Fei Wang, Jiayu Zhou:
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models. CoRR abs/2405.16413 (2024) - [i11]Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun:
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. CoRR abs/2406.02355 (2024) - [i10]Siqi Liang, Sumyeong Ahn, Jiayu Zhou:
Distributed In-Context Learning under Non-IID Among Clients. CoRR abs/2408.00144 (2024) - [i9]Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun:
VACoDe: Visual Augmented Contrastive Decoding. CoRR abs/2408.05337 (2024) - 2023
- [c7]Sumyeong Ahn, Se-Young Yun:
Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels. AAAI 2023: 169-177 - [c6]Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun:
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. EMNLP (Findings) 2023: 6076-6093 - [c5]Sumyeong Ahn, Jongwoo Ko, Se-Young Yun:
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition. ICLR 2023 - [c4]Sumyeong Ahn, Seongyoon Kim, Se-Young Yun:
Mitigating Dataset Bias by Using Per-Sample Gradient. ICLR 2023 - [i8]Sumyeong Ahn, Jongwoo Ko, Se-Young Yun:
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition. CoRR abs/2302.05499 (2023) - [i7]Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun:
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. CoRR abs/2310.10054 (2023) - [i6]Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun:
Fine tuning Pre trained Models for Robustness Under Noisy Labels. CoRR abs/2310.17668 (2023) - [i5]Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee:
Active Prompt Learning in Vision Language Models. CoRR abs/2311.11178 (2023) - [i4]Xiaodan Zhang, Sandeep Vemulapalli, Nabasmita Talukdar, Sumyeong Ahn, Jiankun Wang, Han Meng, Sardar Mehtab Bin Murtaza, Aakash Ajay Dave, Dmitry Leshchiner, Dimitri F. Joseph, Martin Witteveen-Lane, Dave Chesla, Jiayu Zhou, Bin Chen:
Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning. CoRR abs/2312.14184 (2023) - 2022
- [i3]Sumyeong Ahn, Seongyoon Kim, Se-Young Yun:
Mitigating Dataset Bias by Using Per-sample Gradient. CoRR abs/2205.15704 (2022) - [i2]Sumyeong Ahn, Se-Young Yun:
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels. CoRR abs/2212.01189 (2022) - 2021
- [c3]Sangwoo Moon, Sumyeong Ahn, Kyunghwan Son, Jinwoo Park, Yung Yi:
Neuro-DCF: Design of Wireless MAC via Multi-Agent Reinforcement Learning Approach. MobiHoc 2021: 141-150 - 2020
- [c2]Hai H. Tran, Sumyeong Ahn, Taeyoung Lee, Yung Yi:
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation. ICPR 2020: 1812-1819 - [i1]Hai H. Tran, Sumyeong Ahn, Taeyoung Lee, Yung Yi:
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation. CoRR abs/2002.08041 (2020)
2010 – 2019
- 2018
- [j1]Donggyu Yun, Alexandre Proutière, Sumyeong Ahn, Jinwoo Shin, Yung Yi:
Multi-armed Bandit with Additional Observations. Proc. ACM Meas. Anal. Comput. Syst. 2(1): 13:1-13:22 (2018) - [c1]Donggyu Yun, Sumyeong Ahn, Alexandre Proutière, Jinwoo Shin, Yung Yi:
Multi-armed Bandit with Additional Observations. SIGMETRICS (Abstracts) 2018: 53-55
Coauthor Index
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last updated on 2024-10-21 20:31 CEST by the dblp team
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