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cs.CL2021
Learning to Retrieve Passages without Supervision
Ori Ram, Gal Shachaf, Omer Levy +2
Dense retrievers for open-domain question answering (ODQA) have been shown to achieve impressive performance by training on large datasets of question-passage pairs. In this work w…
cs.LG2021★ 5 cited
A Theoretical Analysis of Fine-tuning with Linear Teachers
Gal Shachaf, Alon Brutzkus, Amir Globerson
Fine-tuning is a common practice in deep learning, achieving excellent generalization results on downstream tasks using relatively little training data. Although widely used in pra…