4 citations · 6 across the 6 of their papers we have counts for
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cs.CV2021
Transferability Estimation for Semantic Segmentation Task
Yang Tan, Yang Li, Shao-Lun Huang
Transferability estimation is a fundamental problem in transfer learning to predict how good the performance is when transferring a source model (or source task) to a target task.…
cs.CV2021★ 1 cited
Practical Transferability Estimation for Image Classification Tasks
Yang Tan, Yang Li, Shao-Lun Huang
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. R…
cs.LG2021★ 4 cited
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations
Yang Tan, Yang Li, Shao-Lun Huang
Transfer learning across heterogeneous data distributions (a.k.a. domains) and distinct tasks is a more general and challenging problem than conventional transfer learning, where e…