Papers with encoder transferability estimation

1 papers
Evidence > Intuition: Transferability Estimation for Encoder Selection (2022.emnlp-main)

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Challenge: Existing studies on LM transferability have focused on a priori tuning of encoders . prior work has examined the different yet related tasks of performance prediction .
Approach: They propose to generate quantitative evidence to predict which LM will perform best on a target task without fine-tuning all candidates.
Outcome: The proposed model outperforms the standard of human practitioner ranking in 94% of the setups.

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