Jun Wei Hsieh

MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search

Neural Architecture Search (NAS) methods seek effective optimization toward performance metrics regarding model accuracy and generalization while facing challenges regarding search costs and GPU resources. Recent Neural Tangent Kernel (NTK) NAS methods achieve remarkable search efficiency based on a…