Ziang Long

Recurrence of Optimum for Training Weight and Activation Quantized Networks

2020 · arXiv (Cornell University)

Deep neural networks (DNNs) are quantized for efficient inference on resource-constrained platforms. However, training deep learning models with low-precision weights and activations involves a demanding optimization task, which calls for minimizing a stage-wise loss function …