24 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods
Tiago Salvador, Kilian Fatras, Ioannis Mitliagkas +1
Unsupervised Domain Adaptation (UDA) aims at classifying unlabeled target images leveraging source labeled ones. In this work, we consider the Partial Domain Adaptation (PDA) varia…
cs.LG2018★ 24 cited
Lipschitz regularized Deep Neural Networks generalize and are adversarially robust
Chris Finlay, Jeff Calder, Bilal Abbasi +1
In this work we study input gradient regularization of deep neural networks, and demonstrate that such regularization leads to generalization proofs and improved adversarial robust…