Checked fact 130313 Oct 2026Research

The paper's abstract says making predictions using a whole ensemble of models "is cumbersome and may be too computationally expensive to allow deployment to a large number of users".

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The exact words it rests on

Unfortunately, making predictions using a whole ensemble of models is cumbersome and may be too computationally expensive to allow deployment to a large number of users, especially if the individual models are large neural nets.

What the source said when we opened it, on 13 Oct 2026.

The source

Distilling the Knowledge in a Neural Network
arXiv · 2015-03-09

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Checked by the notis newsroom on 13 Oct 2026, against the source above.

In the story

How distillation works and when it becomes an attack 13 Oct 2026

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“The paper's abstract says making predictions using a whole ensemble of models "is cumbersome and may be too computationally expensive to allow deployment to a large number of users".” ai notis, checked 13 Oct 2026. Source: Distilling the Knowledge in a Neural Network (arXiv). https://ainotis.com/c/1303

As a reference (APA style)

ai notis. (2026, October 13). The paper's abstract says making predictions using a whole ensemble of models "is cumbersome and may be too computationally expensive to allow deployment to a large number of users" [Checked claim 1303]. ai notis. https://ainotis.com/c/1303

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