Posts tagged "sparse-transformers"

Why Full Attention Is Wasteful: Sparse Factorization from Scratch

Most learned attention weights are near zero, so why pay for all n² token pairs? Building sparse factorized attention from scratch — strided and fixed patterns that preserve full reachability in two hops while reducing the cost from O(n²) to O(n sqrt(n)).