LogME: Practical Assessment of Pre-trained Models for Transfer Learning

22 Feb 2021 Kaichao You Yong liu Mingsheng Long Jianmin Wang

This paper studies task adaptive pre-trained model selection, an \emph{underexplored} problem of assessing pre-trained models so that models suitable for the task can be selected from the model zoo without fine-tuning. A pilot work~\cite{nguyen_leep:_2020} addressed the problem in transferring supervised pre-trained models to classification tasks, but it cannot handle emerging unsupervised pre-trained models or regression tasks... (read more)

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