9.7k citations · 26.5k across the 43 of their papers we have counts for
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cs.NE2014★ 31 cited
Deep Networks With Large Output Spaces
Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga +1
Deep neural networks have been extremely successful at various image, speech, video recognition tasks because of their ability to model deep structures within the data. However, th…
cs.NE2014★ 5 cited
Notes on Generalized Linear Models of Neurons
Jonathon Shlens
Experimental neuroscience increasingly requires tractable models for analyzing and predicting the behavior of neurons and networks. The generalized linear model (GLM) is an increas…