Directly supervising representation dot products with generative-model PMI estimates hailed as a new paradigm

vincesitzmann · x · 2026-10-20

Vince Sitzmann championed Alan Baade's representation learning work, calling the idea of directly supervising the dot product of representations with a PMI estimate from a generative model brilliant and non-obvious — potentially a new paradigm in the field.

The approach also establishes a clear link between representation learning and generative modeling: generative models are arguably the best tools ever built for measuring information and mutual information, yet they don't consolidate that information into a compact representation. This work bridges that gap.

Related event: MIT, Stanford teams propose interpretable representation learning via PMI supervision(8 posts)→

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