68 citations · 216 across the 24 of their papers we have counts for
3 papers · 1 filter
ALSA: Anchors in Logit Space for Out-of-Distribution Accuracy Estimation
Chenzhi Liu, Mahsa Baktashmotlagh, Yanran Tang +2
Estimating model accuracy on unseen, unlabeled datasets is crucial for real-world machine learning applications, especially under distribution shifts that can degrade performance.…
Benchmarking Transferability: A Framework for Fair and Robust Evaluation
Alireza Kazemi, Helia Rezvani, Mahsa Baktashmotlagh
Transferability scores aim to quantify how well a model trained on one domain generalizes to a target domain. Despite numerous methods proposed for measuring transferability, their…
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
Prafful Kumar Khoba, Zijian Wang, Chetan Arora +1
Leveraging a transferability estimation metric facilitates the non-trivial challenge of selecting the optimal model for the downstream task from a pool of pre-trained models. Most…