Improving Attention Mechanisms With Data-Informed Global Sparseness
New attention mechanism improves neural network performance by focusing on most relevant parts of input & encouraging global sparsity, outperforming standard attention in various tasks & settings.
This is a Plain English Papers summary of a research paper called You Need to Pay Better Attention: Rethinking the Mathematics of Attention Mechanism. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview This paper proposes a revised attention mechanism that aims to improve the performance of various backbone neural network architectures. The authors introduce a new approach to calculating attention weights that takes into account both the relevance of the query and key, as well as the global sparsity of the attent...