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Kikyung Kim

2 accepted papers

2025

Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation

ICLR 2025poster

Test-time adaptation updates pretrained models on the fly to handle distribution shifts in test data. While existing research has focused on stable optimization during adaptation, less attention has been given to enhancing model representations for adaptation capability. To address this gap, we prop…

Cited by 0SourcePDFScholar
2023

Sample-wise Label Confidence Incorporation for Learning with Noisy Labels

ICCV 2023poster

Deep learning algorithms require large amounts of labeled data for effective performance, but the presence of noisy labels often significantly degrade their performance. Although recent studies on designing a robust objective function to label noise, known as the robust loss method, have shown promi…

Cited by 10PDFScholar