Sumyeong Ahn

According to our database1, Sumyeong Ahn authored at least 14 papers between 2018 and 2024.

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Bibliography

2024
VACoDe: Visual Augmented Contrastive Decoding.
CoRR, 2024

Distributed In-Context Learning under Non-IID Among Clients.
CoRR, 2024

FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning.
CoRR, 2024

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models.
CoRR, 2024

Fine-tuning Pre-trained Models for Robustness under Noisy Labels.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Active Prompt Learning in Vision Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning.
CoRR, 2023

Mitigating Dataset Bias by Using Per-Sample Gradient.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CUDA: Curriculum of Data Augmentation for Long-tailed Recognition.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
Neuro-DCF: Design of Wireless MAC via Multi-Agent Reinforcement Learning Approach.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

2020
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018
Multi-armed Bandit with Additional Observations.
Proc. ACM Meas. Anal. Comput. Syst., 2018


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