Search Results for author:
Found 1 papers, 1 papers with code
Parameter-Efficient Transfer Learning for NLP
On GLUE, we attain within 0. 4% of the performance of full fine-tuning, adding only 3. 6% parameters per task.
Ranked #4 on
Image Classification
on OmniBenchmark
(using extra training data)
Cannot find the paper you are looking for? You can
Submit a new open access paper.
