2 papers
cs.CL2023
Divergence-Based Domain Transferability for Zero-Shot Classification
Alexander Pugantsov, Richard McCreadie
Transferring learned patterns from pretrained neural language models has been shown to significantly improve effectiveness across a variety of language-based tasks, meanwhile furth…
cs.LG2022
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions
Alexander Pugantsov, Richard McCreadie
Transfer learning approaches have shown to significantly improve performance on downstream tasks. However, it is common for prior works to only report where transfer learning was b…