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cs.CV2022★ 1 cited
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation
Idit Diamant, Roy H. Jennings, Oranit Dror +2
Source-free domain adaptation (SFDA) aims to transfer knowledge learned from a source domain to an unlabeled target domain, where the source data is unavailable during adaptation.…
cs.LG2022
Learning to Bound: A Generative Cramér-Rao Bound
Hai Victor Habi, Hagit Messer, Yoram Bresler
The Cramér-Rao bound (CRB), a well-known lower bound on the performance of any unbiased parameter estimator, has been used to study a wide variety of problems. However, to obtain t…