Wacv Ll

Our new work on scalable deep learning has been accepted to WACV 2026 as a Highlight! The paper, SSA, proposes a structured Local-Learning framework that operates directly on low-rank manifolds to significantly reduce standard training compute while achieving accuracy comparable to Backpropagation! 🎉