如下图,Sparse Tensor Core通过indices挑选对应的acts与weights进行乘累加运算,实现计算加速。 第二种方法: 《PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators 》 PCNN方法提出了SPM(sparse pattern mask)“稀
This phenomenon indicates an issue that has been overlooked in fine-tuning: Structural Risk Minimization. To address this issue caused by data scale disparity during the fine-tuning stage, we propose a simple yet effective approach called Tuning Stable Rank Shrinkage (...
Additionally, the dual embedding mechanism combines the strengths of sequence-based and graph-based feature extraction, enabling the model to capture both local temporal patterns and global structural relationships. This comprehensive representation allows for fine-grained classification even in challenging ...
Additionally, the dual embedding mechanism combines the strengths of sequence-based and graph-based feature extraction, enabling the model to capture both local temporal patterns and global structural relationships. This comprehensive representation allows for fine-grained classification even in challenging ...