
SPA is a versatile structured pruning framework that can prune neural networks with any architecture, from any framework, and at any stage of training, achieving state-of-the-art pruning results without the need for fine-tuning or calibration data.


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structurally-prune-any-neural-network-across-frameworks-and-architectures


Structurally Prune Any Neural Network Across Frameworks and Architectures


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Optimizing the sequence of multiple compression techniques significantly reduces computation costs with minimal accuracy loss.


chain-of-compression-a-systematic-approach-to-combinationally-compress-convolutional-neural-networks


Chain of Compression: A Systematic Approach to Combinationally Compress Convolutional Neural Networks
