Rotation Invariant Quantization for Model Compression

1 code implementation • 3 Mar 2023 • Joseph Kampeas, Yury Nahshan, Hanoch Kremer, Gil Lederman, Shira Zaloshinski, Zheng Li, Emir Haleva

Post-training Neural Network (NN) model compression is an attractive approach for deploying large, memory-consuming models on devices with limited memory resources.

Model Compression Quantization