2020
LEARNED STEP SIZE QUANTIZATION
ICLR 2020poster
Deep networks run with low precision operations at inference time offer power and space advantages over high precision alternatives, but need to overcome the challenge of maintaining high accuracy as precision decreases. Here, we present a method for training such networks, Learned Step Size Quantiz…