activity
20212025
most citedDiscrepancy-Based Active Learning for Domain Adaptation

11 citations · 18 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.LG2024

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities

Yanis Lalou, Théo Gnassounou, Antoine Collas +6

Unsupervised Domain Adaptation (DA) consists of adapting a model trained on a labeled source domain to perform well on an unlabeled target domain with some data distribution shift.…