Search Results for author: Salil Deshpande

Found 2 papers, 1 papers with code

Active Learning Helps Pretrained Models Learn the Intended Task

1 code implementation18 Apr 2022 Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, Noah Goodman

Models can fail in unpredictable ways during deployment due to task ambiguity, when multiple behaviors are consistent with the provided training data.

Active Learning

Pretrained models are active learners

no code implementations29 Sep 2021 Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, Noah Goodman

An important barrier to the safe deployment of machine learning systems is the risk of \emph{task ambiguity}, where multiple behaviors are consistent with the provided examples.

Active Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.