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The isotropic posterior therefore does not carry instance-level uncertainty, as it degenerates to a single global scale shared across the batch · 2026

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cs.LG 1

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2026 1

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UNVERDICTED 1

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Joint Embedding Variational Bayes

cs.LG · 2026-02-05 · unverdicted · novelty 7.0

VJE is a new variational non-contrastive SSL method that models target embeddings with a directional-radial Student-t distribution to enable structured uncertainty estimation directly in the learned representation space.

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  • Joint Embedding Variational Bayes cs.LG · 2026-02-05 · unverdicted · none · ref 20

    VJE is a new variational non-contrastive SSL method that models target embeddings with a directional-radial Student-t distribution to enable structured uncertainty estimation directly in the learned representation space.