3.5k citations · 7.5k across the 30 of their papers we have counts for
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cs.LG2014★ 3.5k cited
How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio +1
Many deep neural networks trained on natural images exhibit a curious phenomenon in common: on the first layer they learn features similar to Gabor filters and color blobs. Such fi…
cs.LG2014★ 2 cited
Data Smashing
Ishanu Chattopadhyay, Hod Lipson
Investigation of the underlying physics or biology from empirical data requires a quantifiable notion of similarity - when do two observed data sets indicate nearly identical gener…
cs.IT2014
Computing Entropy Rate Of Symbol Sources & A Distribution-free Limit Theorem
Ishanu Chattopadhyay, Hod Lipson
Entropy rate of sequential data-streams naturally quantifies the complexity of the generative process. Thus entropy rate fluctuations could be used as a tool to recognize dynamical…