04:00
2026-08-11
arxiv.org
machine-learning
TEMPER: Tensorized Efficient Manifold-constrained Parameterization for Expressive Residual Routing
Researchers propose TEMPER, a tensorized parameterization for residual routing in deep neural networks that reduces additional parameters by about 84% compared to manifold-constrained hyper-connectionβ¦