And the bit goes down: Revisiting the quantization of neural networks | Facebook AI Research
In this paper, we address the problem of reducing the memory footprint of convolutional network architectures. We introduce a vector quantization method that aims at preserving the quality of the reconstruction of the network outputs rather…
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
