3 papers
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.LG2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin, Hye Won Chung
Detecting out-of-distribution (OOD) samples is a critical task for reliable machine learning. However, it becomes particularly challenging when the models are trained on long-taile…
cs.IT2024
Exact Graph Matching in Correlated Gaussian-Attributed Erdős-Rényi Model
Joonhyuk Yang, Hye Won Chung
Graph matching problem aims to identify node correspondence between two or more correlated graphs. Previous studies have primarily focused on models where only edge information is…