Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization

Author:

Miret Santiago1,Chua Vui Seng1,Marder Mattias2,Phiellip Mariano1,Jain Nilesh1,Majumdar Somdeb1

Affiliation:

1. Intel Labs

2. Intel Datacenter and AI, Haifa, Israel

Publisher

ACM

Reference43 articles.

1. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. http://tensorflow.org/ Software available from tensorflow.org. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. http://tensorflow.org/ Software available from tensorflow.org.

2. Omer Abramovich and Amiram Moshaiov . 2016. Multi-objective topology and weight evolution of neuro-controllers. In 2016 IEEE congress on evolutionary computation (CEC) . IEEE , 670--677. Omer Abramovich and Amiram Moshaiov. 2016. Multi-objective topology and weight evolution of neuro-controllers. In 2016 IEEE congress on evolutionary computation (CEC). IEEE, 670--677.

3. Using confidence bounds for exploitation-exploration trade-offs;Auer Peter;Journal of Machine Learning Research 3,2002

4. Sébastien Bubeck Nicolo Cesa-Bianchi etal 2012. Regret analysis of stochastic and nonstochastic multi-armed bandit problems. Foundations and Trends® in Machine Learning 5 1 (2012) 1--122. Sébastien Bubeck Nicolo Cesa-Bianchi et al. 2012. Regret analysis of stochastic and nonstochastic multi-armed bandit problems. Foundations and Trends® in Machine Learning 5 1 (2012) 1--122.

5. Jeffrey Dean Greg Corrado Rajat Monga Kai Chen Matthieu Devin Mark Mao Marc'aurelio Ranzato Andrew Senior Paul Tucker Ke Yang etal 2012. Large scale distributed deep networks. In Advances in neural information processing systems. 1223--1231. Jeffrey Dean Greg Corrado Rajat Monga Kai Chen Matthieu Devin Mark Mao Marc'aurelio Ranzato Andrew Senior Paul Tucker Ke Yang et al. 2012. Large scale distributed deep networks. In Advances in neural information processing systems. 1223--1231.

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3. Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search;IEEE Transactions on Evolutionary Computation;2024-02

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