Transferability-Guided Cross-Domain Cross-Task Transfer Learning

arXiv:2207.05510v2 Announce Type: replace-cross
Abstract: We propose two novel transferability metrics F-OTCE (Fast Optimal Transport based Conditional Entropy) and JC-OTCE (Joint Correspondence OTCE) to evaluate how much the source model (task) can benefit the learning of the target task and to learn more transferable representations for cross-domain cross-task transfer learning. Unlike the existing metric that requires evaluating the empirical transferability on auxiliary tasks, our metrics are auxiliary-free such that they can be computed much more efficiently. Specifically, F-OTCE estimates transferability …

abstract arxiv benefit cs.ai cs.cv cs.lg domain entropy learn learn more metrics novel transfer transfer learning transport type