research
∙
07/01/2023
AutoST: Training-free Neural Architecture Search for Spiking Transformers
Spiking Transformers have gained considerable attention because they ach...
share
research
∙
11/30/2022
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off
Over-parameterization of deep neural networks (DNNs) has shown high pred...
research
∙
10/15/2021
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
Various pruning approaches have been proposed to reduce the footprint re...
research
∙
11/11/2019
