Functional Regularization for Representation Learning: A Unified Theoretical Perspective
–Neural Information Processing Systems
Towards bridging this gap, we present a unifying perspective where several such approaches can be viewed as imposing a regularization on the representation via a learnable function using unlabeled data.
Neural Information Processing Systems
Nov-20-2025, 09:38:22 GMT
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