34 citations · 123 across the 12 of their papers we have counts for
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cs.LG2017★ 11 cited
Learning to Adapt by Minimizing Discrepancy
Alexander G. Ororbia, Patrick Haffner, David Reitter +1
We explore whether useful temporal neural generative models can be learned from sequential data without back-propagation through time. We investigate the viability of a more neuroc…
cs.CL2017★ 1 cited
Learning Simpler Language Models with the Differential State Framework
Alexander G. Ororbia, Tomas Mikolov, David Reitter
Learning useful information across long time lags is a critical and difficult problem for temporal neural models in tasks such as language modeling. Existing architectures that add…