SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions

Ziyi Wang, Nan Jiang, Guang Lin +1

Compressing large-scale neural networks is essential for deploying models on resource-constrained devices. Most existing methods adopt weight pruning or low-bit quantization indivi…