465 citations · 710 across the 17 of their papers we have counts for
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cs.LG2019★ 84 cited
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen +3
We propose to reinterpret a standard discriminative classifier of p(y|x) as an energy based model for the joint distribution p(x,y). In this setting, the standard class probabiliti…
cs.LG2019★ 1 cited
Learning Execution through Neural Code Fusion
Zhan Shi, Kevin Swersky, Daniel Tarlow +2
As the performance of computer systems stagnates due to the end of Moore's Law, there is a need for new models that can understand and optimize the execution of general purpose cod…