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Pruning as Regularization: Sensitivity-Aware One-Shot Pruning in ASR

Irigoyen, Julian et al.
arXiv (OAI Expanded) · Papers
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audio-and-speech-processingcomputation-and-languagesound
We challenge the conventional view of neural network pruning as solely a compression technique, demonstrating that one-shot magnitude pruning serves as a powerful implicit regularizer for ASR. Using Whisper-small, we combine gradient- and Fisher-based sensitivity diagnostics with targeted, component
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