A simple redundancy-suppression loss, applied to penultimate-layer embeddings, outperforms the complex OFA method for cross-architecture knowledge distillation while adding far fewer parameters.
Unsupervised learning
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Cross-Architecture Distillation Made Simple with Redundancy Suppression
A simple redundancy-suppression loss, applied to penultimate-layer embeddings, outperforms the complex OFA method for cross-architecture knowledge distillation while adding far fewer parameters.