353 citations · 1.3k across the 22 of their papers we have counts for
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cs.LG2022
Generalizing in the Real World with Representation Learning
Tegan Maharaj
Machine learning (ML) formalizes the problem of getting computers to learn from experience as optimization of performance according to some metric(s) on a set of data examples. Thi…
cs.LG2022★ 6 cited
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj +2
Modern machine learning research relies on relatively few carefully curated datasets. Even in these datasets, and typically in `untidy' or raw data, practitioners are faced with si…