1.4k citations · 3.1k across the 30 of their papers we have counts for
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cs.LG2013★ 1.4k cited
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba, Rich Caruana
Currently, deep neural networks are the state of the art on problems such as speech recognition and computer vision. In this extended abstract, we show that shallow feed-forward ne…
stat.ML2013★ 1 cited
Using Multiple Samples to Learn Mixture Models
Jason D Lee, Ran Gilad-Bachrach, Rich Caruana
In the mixture models problem it is assumed that there are distributions and one gets to observe a sample from a mixture of these distributions with unknow…
cs.AI2013★ 1 cited
The Automatic Training of Rule Bases that Use Numerical Uncertainty Representations
Richard A. Caruana
The use of numerical uncertainty representations allows better modeling of some aspects of human evidential reasoning. It also makes knowledge acquisition and system development, t…