Abstract: Traditional knowledge distillation methods typically use soft target probability distributions to transfer knowledge from the teacher to the student model. However, this can lead to ...
Abstract: To more effectively address the computational and memory requirements of deep neural networks (DNNs), leveraging multi-level sparsity-including value-level and bit-level sparsity-has emerged ...
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