Distilling the knowledge in a neural network

G Hinton, O Vinyals, J Dean - arXiv preprint arXiv:1503.02531, 2015 - arxiv.org
Abstract: A very simple way to improve the performance of almost any machine learning
algorithm is to train many different models on the same data and then to average their
predictions. Unfortunately, making predictions using a whole ensemble of models is ...

Distilling the Knowledge in a Neural Network

G Hinton, O Vinyals, J Dean - arXiv preprint arXiv:1503.02531, 2015 - adsabs.harvard.edu
Abstract A very simple way to improve the performance of almost any machine learning
algorithm is to train many different models on the same data and then to average their
predictions. Unfortunately, making predictions using a whole ensemble of models is ...

[PDF][PDF] Distilling the Knowledge in a Neural Network

G Hinton, O Vinyals, J Dean - stat, 2015 - csri.utoronto.ca
Abstract A very simple way to improve the performance of almost any machine learning
algorithm is to train many different models on the same data and then to average their
predictions [3]. Unfortunately, making predictions using a whole ensemble of models is ...

[PDF][PDF] Distilling the Knowledge in a Neural Network

G Hinton, O Vinyals, J Dean - stat, 2015 - cs.toronto.edu
Abstract A very simple way to improve the performance of almost any machine learning
algorithm is to train many different models on the same data and then to average their
predictions [3]. Unfortunately, making predictions using a whole ensemble of models is ...

[PDF][PDF] Distilling the Knowledge in a Neural Network

G Hinton, O Vinyals, J Dean - stat, 2015 - cs.utoronto.ca
Abstract A very simple way to improve the performance of almost any machine learning
algorithm is to train many different models on the same data and then to average their
predictions [3]. Unfortunately, making predictions using a whole ensemble of models is ...

[PDF][PDF] Distilling the Knowledge in a Neural Network

G Hinton, O Vinyals, J Dean - stat, 2015 - Citeseer
Abstract A very simple way to improve the performance of almost any machine learning
algorithm is to train many different models on the same data and then to average their
predictions [3]. Unfortunately, making predictions using a whole ensemble of models is ...

[PDF][PDF] Distilling the Knowledge in a Neural Network

G Hinton, O Vinyals, J Dean - stat, 2015 - captobvious.net
Abstract A very simple way to improve the performance of almost any machine learning
algorithm is to train many different models on the same data and then to average their
predictions [3]. Unfortunately, making predictions using a whole ensemble of models is ...

Distilling the Knowledge in a Neural Network

G Hinton, O Vinyals, J Dean - 2014 - research.google.com
Abstract A very simple way to improve the performance of almost any machine learning
algorithm is to train many different models on the same data and then to average their
predictions. Unfortunately, making predictions using a whole ensemble of models is ...

Distilling the Knowledge in a Neural Network

G Hinton, O Vinyals, J Dean - 2015 - citeulike.org
Abstract A very simple way to improve the performance of almost any machine learning
algorithm is to train many different models on the same data and then to average their
predictions. Unfortunately, making predictions using a whole ensemble of models is ...

[PDF][PDF] Distilling the Knowledge in a Neural Network

G Hinton, O Vinyals, J Dean - fb56552f-a-62cb3a1a-s-sites. …
Abstract A very simple way to improve the performance of almost any machine learning
algorithm is to train many different models on the same data and then to average their
predictions [3]. Unfortunately, making predictions using a whole ensemble of models is ...