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08/31/2023
The Quest of Finding the Antidote to Sparse Double Descent
In energy-efficient schemes, finding the optimal size of deep learning m...
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08/12/2023
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?
Pruning is a widely used technique for reducing the size of deep neural ...
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07/26/2023
Sparse Double Descent in Vision Transformers: real or phantom threat?
Vision transformers (ViT) have been of broad interest in recent theoreti...
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03/02/2023
Dodging the Sparse Double Descent
This paper presents an approach to addressing the issue of over-parametr...
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02/26/2023