most citedTest-Time Adaptation via Self-Training with Nearest Neighbor Information

12 citations · 12 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2024

Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation

Minguk Jang, Hye Won Chung

Test-time adaptation (TTA) is an effective approach to mitigate performance degradation of trained models when encountering input distribution shifts at test time. However, existin…

cs.LG2022

Few-Example Clustering via Contrastive Learning

Minguk Jang, Sae-Young Chung

We propose Few-Example Clustering (FEC), a novel algorithm that performs contrastive learning to cluster few examples. Our method is composed of the following three steps: (1) gene…