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The Standard Deviation in VICReg Buys a Safety Margin
Hawar Dizayee

The Standard Deviation in VICReg Buys a Safety Margin

Author / Organization:
Computer Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

VICReg prevents collapse with a hinge on the standard deviation of each embedding dimension, and its authors argue from the gradient that a hinge on the variance would fail. To our knowledge, this claim has not been tested experimentally. We test it in a controlled setting (ResNet-18, CIFAR-10 and CIFAR-100), changing only the hinge and sweeping its weight $μ$ over five orders of magnitude. At the default weight ($μ= 1$), the two hinges reach the same linear-probe accuracy on CIFAR-10 (about 89.5%). Both collapse below a threshold weight, but the standard-deviation hinge's threshold is 35-130$\times$ lower. CIFAR-100 shows a consistent gap. In training, the variance hinge's gradient fades as the feature variance shrinks, while the standard-deviation hinge's does not until that variance is very small. The standard-deviation hinge therefore buys a safety margin: it keeps training at weights far below the point where the variance hinge collapses.

Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title The Standard Deviation in VICReg Buys a Safety Margin
Author / Organization Hawar Dizayee
Subject & Discipline cs.LG
Categories Computer Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-118513
Original Source Link Visit Source Page on arxiv.org »