Accelerator-aware Neural Network Design using AutoML

Roofline: an insightful visual performance model for multicore architectures

Williams, S., Waterman, A., and Patterson, D · 2009

Earlier work this paper cites.

Deep residual learning for image recognition

He, K., Zhang, X., Ren, S., and Sun, J · 2016

Earlier work this paper cites.

Mobilenets: Efficient convolutional neural networks for mobile vision applications

Original

Howard, A. G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., and Adam, H · 2017

Earlier work this paper cites.

Proxylessnas: Direct neural architecture search on target task and hardware

Original

Cai, H., Zhu, L., and Han, S · 2018

Earlier work this paper cites.

Squeeze-and-excitation networks

Hu, J., Shen, L., and Sun, G · 2018

Cited alongside, same era.

Mobilenetv2: Inverted residuals and linear bottlenecks

Sandler, M., Howard, A. G., Zhu, M., Zhmoginov, A., and Chen, L.-C · 2018

Cited alongside, same era.

Learning transferable architectures for scalable image recognition

Zoph, B., Vasudevan, V., Shlens, J., and Le, Q. V · 2018

Cited alongside, same era.

Searching for mobilenetv3

Original

Howard, A., Sandler, M., Chu, G., Chen, L.-C., Chen, B., Tan, M., Wang, W., Zhu, Y., Pang, R., Vasudevan, V., Le, Q. V., and Adam, H · 2019

Cited alongside, same era.

Efficientnet: Rethinking model scaling for convolutional neural networks

Tan, M. and Le, Q · 2019

Later among the works it cites.

Mnasnet: Platform-aware neural architecture search for mobile

Tan, M., Chen, B., Pang, R., Vasudevan, V., Sandler, M., Howard, A., and Le, Q. V · 2019

Later among the works it cites.

Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search

Wu, B., Dai, X., Zhang, P., Wang, Y., Sun, F., Wu, Y., Tian, Y., Vajda, P., Jia, Y., and Keutzer, K · 2019

Later among the works it cites.

Can weight sharing outperform random architecture search? An investigation with tunas

Bender, G., Liu, H., Chen, B., Chu, G., Cheng, S., Kindermans, P.-J., and Le, Q · 2020

Closest in time.