Why it matters

Representation theory frames DL. Understanding shapes intuition.

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The architecture

Representations trade compression vs invariance vs disentanglement.

Self-supervised + contrastive drive modern DL.

Representation propertiesCompressedless redundancyInvarianttask-relevantDisentangledfactoredBengio + others frame representation learning; CLIP + SSL exemplify
Representation learning.
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How it works end to end

Contrastive: InfoNCE.

Generative: masked or predictive.

Disentanglement: factored features.