TOAST approximates full transformer blocks in pretrained models via lightweight closed-form mappings to cut parameters and FLOPs without retraining or finetuning.
Can unstructured pruning reduce the depth in deep neural networks? In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.\ 1402--1406, 2023
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TOAST: Transformer Optimization using Adaptive and Simple Transformations
TOAST approximates full transformer blocks in pretrained models via lightweight closed-form mappings to cut parameters and FLOPs without retraining or finetuning.