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Profit: A Novel Training Method For Sub-4-Bit Mobilenet Models by liuzechun0216 is a document available to read on EtoBox.

What is Profit: A Novel Training Method For Sub-4-Bit Mobilenet Models about?

The document introduces a novel training method called PROgressive-Freezing Iterative Training (PROFIT) to address activation instability induced by weight quantization (AIWQ) in sub-4-bit MobileNet models. The authors propose a differentiable quantization method (DuQ) and demonstrate that their methods achieve comparable accuracy to full precision models while significantly improving performance in 3-bit quantization. The study highlights the importance of optimizing neural networks for energy efficiency i

Author

liuzechun0216

Language

EN