119 citations · 124 across the 8 of their papers we have counts for
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cs.LG2026
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles
Mehmet Ozgur Turkoglu, Dominik J. Mühlematter, Alexander Becker +2
Foundation models have become a dominant paradigm in machine learning, achieving remarkable performance across diverse tasks through large-scale pretraining. However, they often yi…
cs.LG2024★ 1 cited
Is Continual Learning Ready for Real-world Challenges?
Theodora Kontogianni, Yuanwen Yue, Siyu Tang +1
Despite continual learning's long and well-established academic history, its application in real-world scenarios remains rather limited. This paper contends that this gap is attrib…