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20202026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations · 3.5k across the 17 of their papers we have counts for

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cs.CV2026

One-shot federated unsupervised domain adaptation with Smoothed Knowledge Distillation and teacher refinement

Ali Abedi, Q. M. Jonathan Wu, Ning Zhang +1

Federated unsupervised domain adaptation (FUDA) addresses the challenge of adapting models to an unlabeled target domain using decentralized source domains while preserving data pr…