AI Frontier Lectures

Mar 19, 2026 · Artificial Intelligence

Can Circulant Attention Reduce Vision Transformer Cost by 7×?

The article reviews the AAAI 2026 paper "Vision Transformers are Circulant Attention Learners", explaining how modeling self‑attention as a Block‑Circulant matrix enables FFT‑based multiplication that cuts the quadratic complexity of standard attention, achieving up to seven‑fold inference speed‑up while preserving accuracy across ImageNet, COCO and ADE20K benchmarks.