Google Inc.

Yin Cui

Quoc V Le

Mingxing Tan

Xiaodan Song

Golnaz Ghiasi

Tsung-Yi Lin

Pengchong Jin

Xianzhi Du

A computer-implemented method of generating scale-permuted models can generate models having improved accuracy and reduced evaluation computational requirements. The method can include defining, by a computing system including one or more computing devices, a search space including a plurality of candidate permutations of a plurality of candidate feature blocks, each of the plurality of candidate feature blocks having a respective scale. The method can include performing, by the computing system, a plurality of search iterations by a search algorithm to select a scale-permuted model from the search space, the scale-permuted model based at least in part on a candidate permutation of the plurality of candidate permutations.

Scale-permuted machine learning architecture

Growing community of inventors

Mountain View, CA, United States of America

Yin Cui