Learnable Heterogeneous Convolution: Learning both topology and strength

Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang

Existing convolution techniques in artificial neural networks suffer from huge computation complexity, while the biological neural network works in a much more powerful yet efficie…