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Found 3 papers, 1 papers with code
Task Selection for AutoML System Evaluation
However, we cannot test the changes on production tasks.
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)
Neural Architecture Search Over a Graph Search Space
However, the success of NAS depends on the definition of the search space.
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