Improved training speed, accuracy, and data utilization through loss function optimization

S Gonzalez, R Miikkulainen - 2020 IEEE congress on …, 2020 - ieeexplore.ieee.org
As the complexity of neural network models has grown, it has become increasingly important
to optimize their design automatically through metalearning. Methods for discovering …
被引用次数：99 相关文章
[PDF] academia.edu

[PDF][PDF] Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization

S Gonzalez, R Miikkulainen - academia.edu
As the complexity of neural network models has grown, it has become increasingly important
to optimize their design automatically through metalearning. Methods for discovering …
[PDF] researchgate.net

[PDF][PDF] Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization

S Gonzalez, R Miikkulainen - arXiv preprint arXiv:1905.11528, 2019 - researchgate.net
As the complexity of neural network models has grown, it has become increasingly important
to optimize their design automatically through metalearning. Methods for discovering …

Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization

S Gonzalez, R Miikkulainen - 2020 IEEE Congress on Evolutionary …, 2020 - dl.acm.org
As the complexity of neural network models has grown, it has become increasingly important
to optimize their design automatically through metalearning. Methods for discovering …

Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization

S Gonzalez, R Miikkulainen - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
As the complexity of neural network models has grown, it has become increasingly important
to optimize their design automatically through metalearning. Methods for discovering …
[PDF] github.io

[PDF][PDF] Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization

S Gonzalez, R Miikkulainen - meta-learn.github.io
As the complexity of neural network models has grown, it has become increasingly important
to optimize their design automatically through metalearning. Methods for discovering …

Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization

S Gonzalez, R Miikkulainen - arXiv preprint arXiv:1905.11528, 2019 - arxiv.org
As the complexity of neural network models has grown, it has become increasingly important
to optimize their design automatically through metalearning. Methods for discovering …