Jiake Tian

FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions

Deep neural networks are often over-parameterized, resulting in prohibitive storage and computational costs. A fundamental question is whether a complex network can be re-expressed in terms of a compact set of basis functions without sacrificing accuracy. Motivated by this perspective, we aim to app