# Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention

> Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 11× · AI/ML

**Wikidata**: [openalex:W4224464935](https://www.wikidata.org/wiki/openalex:W4224464935)  
**Source**: https://4ort.xyz/entity/paramixer-parameterizing-mixing-links-in-sparse-factors-works-better-than-dot-product-self-attention