Abstract: As deep learning models and datasets rapidly scale up, model training is extremely time-consuming and resource-costly. Instead of training on the entire dataset, learning with a small ...
Abstract: A popular track of network compression approach is Quantization aware Training (QAT), which accelerates the forward pass during the neural network training and inference. However, not much ...
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