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High-rank JEPA projections may not rule out backbone collapse

A post says λ-JEPA is designed to target the gap between a high-rank projection and a potentially collapsed backbone.

Berker DemirelBD
1 Source, 11h ago, first seen 11h ago

TLDR

A post questions whether JEPA prevents collapse in the representation used downstream. It argues that a high-rank projected representation does not guarantee a non-collapsed backbone, and says λ-JEPA is designed to target that gap.

Combined views

16.1K

1 Source, first seen 11h ago

215 likes3 comments194 saves33 reposts

Combined views

16.1K

1 Source, first seen 11h ago

215 likes3 comments194 saves33 reposts
Image: @berkerdemirel97 on X

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1 Source

Berker Demirel@berkerdemirel97In JEPA, are we preventing collapse in the representation we actually use downstream? TLDR: not necessarily. A high-rank projected representation does not guarantee a non-collapsed backbone. λ-JEPA is designed to target this gap. https://arxiv.org/abs/2609.3528811h
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    1 Source

    Berker Demirel@berkerdemirel97In JEPA, are we preventing collapse in the representation we actually use downstream? TLDR: not necessarily. A high-rank projected representation does not guarantee a non-collapsed backbone. λ-JEPA is designed to target this gap. https://arxiv.org/abs/2609.3528811h
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