-
DMC4ML: Data Movement Complexity for Machine Learning
The dataset used in this paper for analyzing the memory cost of three machine learning algorithms: transformers, spatial convolution, and FFT. -
ExplainFix: Explainable Spatially Fixed Deep Networks
ExplainFix adopts two design principles: the “fixed filters” principle that all spatial filter weights of convolutional neural networks can be fixed at initialization and never...