Source code of EMNLP 2022 Findings paper "SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters"
-
Updated
Apr 7, 2024 - Python
Source code of EMNLP 2022 Findings paper "SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters"
[NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
DSP-inspired multirate wrappers for GPT with adaptive hyperparameters and faster training.
Nhận dạng đối tượng dựa trên mô hình denseNet
Add a description, image, and links to the training-efficiency topic page so that developers can more easily learn about it.
To associate your repository with the training-efficiency topic, visit your repo's landing page and select "manage topics."