Not All Ops Are Created Equal!

Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems . 1097–1105

Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. 2012 · 2012

Earlier work this paper cites.

Caffe: Convolutional architecture for fast feature embedding. In Proceedings of the 22nd ACM international conference on Multimedia . ACM, 675–678

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell. 2014 · 2014

Earlier work this paper cites.

Designing neural network architectures using reinforcement learning

Original

Bowen Baker, Otkrist Gupta, Nikhil Naik, and Ramesh Raskar. 2016 · 2016

Earlier work this paper cites.

Densely connected convolutional networks

Original

Gao Huang, Zhuang Liu, Kilian Q Weinberger, and Laurens van der Maaten. 2016 · 2016

Earlier work this paper cites.

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size

Original

Forrest N Iandola, Song Han, Matthew W Moskewicz, Khalid Ashraf, William J Dally, and Kurt Keutzer. 2016 · 2016

Earlier work this paper cites.

Xnor-net: Imagenet classification using binary convolutional neural networks. In European Conference on Computer Vision . Springer, 525–542

Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi. 2016 · 2016

Cited alongside, same era.

Neural architecture search with reinforcement learning

Original

Barret Zoph and Quoc V Le. 2016 · 2016

Cited alongside, same era.

Mobilenets: Efficient convolutional neural networks for mobile vision applications

Original

Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. 2017 · 2017

Cited alongside, same era.

HyperPower: Power-and Memory-Constrained Hyper-Parameter Optimization for Neural Networks

Original

Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, and Diana Marculescu. 2017 · 2017

Cited alongside, same era.

NUCLEO-F746ZG development board

Speech Commands: A public dataset for single-word speech recognition

Pete Warden. 2017 · 2017

Later among the works it cites.

Shufflenet: An extremely efficient convolutional neural network for mobile devices

Original

Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun. 2017b · 2017

Later among the works it cites.

Hello Edge: Keyword Spotting on Microcontrollers

Original

Yundong Zhang, Naveen Suda, Liangzhen Lai, and Vikas Chandra. 2017a · 2017

Later among the works it cites.

CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs

Original

Liangzhen Lai, Naveen Suda, and Vikas Chandra. 2018 · 2018

Closest in time.