2 papers
cs.CV2026
PAS: Estimating the target accuracy before domain adaptation
Raphaella Diniz, Jackson de Faria, Martin Ester
The goal of domain adaptation is to make predictions for unlabeled samples from a target domain with the help of labeled samples from a different but related source domain. The per…
cs.LG2024
Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles
Shuman Peng, Arash Khoeini, Sharan Vaswani +1
The quality of self-supervised pre-trained embeddings on out-of-distribution (OOD) data is poor without fine-tuning. A straightforward and simple approach to improving the generali…