105 citations · 105 across the 1 of their papers we have counts for
2 papers
stat.ML2016★ 105 cited
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou +6
Yes, they do. This paper provides the first empirical demonstration that deep convolutional models really need to be both deep and convolutional, even when trained with methods suc…
cs.LG2015
Blending LSTMs into CNNs
Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana +6
We consider whether deep convolutional networks (CNNs) can represent decision functions with similar accuracy as recurrent networks such as LSTMs. First, we show that a deep CNN wi…