Construct · 1 fields · 1 citations

dimensional collapse: a standalone construct

One name. One construct. A landmark on the map.

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Machine learning

self-supervised embeddings that spread over only a low-dimensional subspace instead of the full space, even without collapsing to a single point.

In machine learning, dimensional collapse refers to self-supervised embeddings that spread over only a low-dimensional subspace instead of the full space, even without collapsing to a single point. This meaning comes from Jing (2021) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

collapse4 fields · 5 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs spread5 fields · 5 citationsjingle · one word, five constructs

References

Jing, L., Vincent, P., LeCun, Y., & Tian, Y. (2021). Understanding Dimensional Collapse in Contrastive Self-supervised Learning. arXiv. https://doi.org/10.48550/arxiv.2110.09348

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