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Chris Ying
Chris Ying
Ambient.ai
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Don't decay the learning rate, increase the batch size
SL Smith, PJ Kindermans, C Ying, QV Le
arXiv preprint arXiv:1711.00489, 2017
11872017
Nas-bench-101: Towards reproducible neural architecture search
C Ying, A Klein, E Christiansen, E Real, K Murphy, F Hutter
International conference on machine learning, 7105-7114, 2019
7482019
Image classification at supercomputer scale
C Ying, S Kumar, D Chen, T Wang, Y Cheng
arXiv preprint arXiv:1811.06992, 2018
1502018
Large-batch training for LSTM and beyond
Y You, J Hseu, C Ying, J Demmel, K Keutzer, CJ Hsieh
Proceedings of the International Conference for High Performance Computing …, 2019
1012019
Don’t decay the learning rate, increase the batch size. arXiv 2017
SL Smith, PJ Kindermans, C Ying, QV Le
arXiv preprint arXiv:1711.00489, 2021
302021
Quoc V Le
SL Smith, PJ Kindermans, C Ying
A bayesian perspective on generalization and stochastic gradient descent, 2018
302018
Depth-adaptive computational policies for efficient visual tracking
C Ying, K Fragkiadaki
Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th …, 2018
112018
Enumerating unique computational graphs via an iterative graph invariant
C Ying
arXiv preprint arXiv:1902.06192, 2019
82019
Adaptive Depth Computational Policies for Efficient Visual Tracking
C Ying, K Fragkiadaki
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