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Measuring What Matters: Intrinsic Distance Preservation as a Robust
  Metric for Embedding Quality

Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Quality

31 July 2024
Steven N. Hart
R. Maulik
ArXivPDFHTML

Papers citing "Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Quality"

1 / 1 papers shown
Title
RankMe: Assessing the downstream performance of pretrained
  self-supervised representations by their rank
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
32
53
0
05 Oct 2022
1