Sumyeong Ahn - RankMe

27 papers A* 5B 2Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	When and Where to Attack? Stage-wise Attention-Guided Adversarial Attack on Large Vision Language Models. CoRR Jaehyun Kwak, Nam Cao, Boryeong Cho, Segyu Lee, Sumyeong Ahn, Se-Young Yun
2025	—	`conf`	Dual Debiasing for Noisy In-Context Learning for Text Generation. ACL (Findings) Siqi Liang, Sumyeong Ahn, Paramveer Dhillon, Jiayu Zhou
2025	J	`jnl`	Dual Debiasing for Noisy In-Context Learning for Text Generation. CoRR Siqi Liang, Sumyeong Ahn, Paramveer S. Dhillon, Jiayu Zhou
2025	J	`jnl`	FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. Trans. Mach. Learn. Res. Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun
2025	J	`jnl`	VSCoDe: Visual-Augmentation Selection for Contrastive Decoding. Trans. Mach. Learn. Res. Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun
2024	A*	`conf`	Active Prompt Learning in Vision Language Models. CVPR Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee
2024	J	`jnl`	Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models. CoRR Jiankun Wang, Sumyeong Ahn, Taykhoom Dalal, Xiaodan Zhang, Weishen Pan, Qiannan Zhang, Bin Chen, Hiroko H. Dodge, Fei Wang, Jiayu Zhou
2024	J	`jnl`	Distributed In-Context Learning under Non-IID Among Clients. CoRR Siqi Liang, Sumyeong Ahn, Jiayu Zhou
2024	J	`jnl`	FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. CoRR Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun
2024	A*	`conf`	Fine-tuning Pre-trained Models for Robustness under Noisy Labels. IJCAI Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun
2024	J	`jnl`	VACoDe: Visual Augmented Contrastive Decoding. CoRR Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun
2023	J	`jnl`	Active Prompt Learning in Vision Language Models. CoRR Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee
2023	J	`jnl`	CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition. CoRR Sumyeong Ahn, Jongwoo Ko, Se-Young Yun
2023	A*	`conf`	CUDA: Curriculum of Data Augmentation for Long-tailed Recognition. ICLR Sumyeong Ahn, Jongwoo Ko, Se-Young Yun
2023	A*	`conf`	Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels. AAAI Sumyeong Ahn, Se-Young Yun
2023	J	`jnl`	Fine tuning Pre trained Models for Robustness Under Noisy Labels. CoRR Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun
2023	J	`jnl`	Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning. CoRR 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
2023	A*	`conf`	Mitigating Dataset Bias by Using Per-Sample Gradient. ICLR Sumyeong Ahn, Seongyoon Kim, Se-Young Yun
2023	—	`conf`	NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. EMNLP (Findings) Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun
2023	J	`jnl`	NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. CoRR Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun
2022	J	`jnl`	Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels. CoRR Sumyeong Ahn, Se-Young Yun
2022	J	`jnl`	Mitigating Dataset Bias by Using Per-sample Gradient. CoRR Sumyeong Ahn, Seongyoon Kim, Se-Young Yun
2021	B	`conf`	Neuro-DCF: Design of Wireless MAC via Multi-Agent Reinforcement Learning Approach. MobiHoc Sangwoo Moon, Sumyeong Ahn, Kyunghwan Son, Jinwoo Park, Yung Yi
2020	B	`conf`	Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation. ICPR Hai H. Tran, Sumyeong Ahn, Taeyoung Lee, Yung Yi
2020	J	`jnl`	Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation. CoRR Hai H. Tran, Sumyeong Ahn, Taeyoung Lee, Yung Yi
2018	—	`conf`	Multi-armed Bandit with Additional Observations. SIGMETRICS (Abstracts) Donggyu Yun, Sumyeong Ahn, Alexandre Proutière, Jinwoo Shin, Yung Yi
2018	J	`jnl`	Multi-armed Bandit with Additional Observations. Proc. ACM Meas. Anal. Comput. Syst. Donggyu Yun, Alexandre Proutière, Sumyeong Ahn, Jinwoo Shin, Yung Yi