1.6k citations · 4.8k across the 90 of their papers we have counts for
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cs.CV2013★ 70 cited
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training
Thomas Paine, Hailin Jin, Jianchao Yang +2
The ability to train large-scale neural networks has resulted in state-of-the-art performance in many areas of computer vision. These results have largely come from computational b…
cs.LG2013★ 2 cited
Variational Learning in Mixed-State Dynamic Graphical Models
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang
Many real-valued stochastic time-series are locally linear (Gassian), but globally non-linear. For example, the trajectory of a human hand gesture can be viewed as a linear dynamic…