Practical Transferability Estimation for Image Classification Tasks
Yang Tan,
Yang Li,
Shao-Lun Huang
Abstract:Transferability estimation is an essential problem in transfer learning to predict how good the performance is when transferring a source model (or source task) to a target task. Recent analytical transferability metrics have been widely used for source model selection and multi-task learning. A major challenge is how to make transfereability estimation robust under the cross-domain cross-task settings. The recently proposed OTCE score solves this problem by considering both domain and task differences, with t… Show more
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