83 citations · 304 across the 19 of their papers we have counts for
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stat.ML2017
A Resizable Mini-batch Gradient Descent based on a Multi-Armed Bandit
Seong Jin Cho, Sunghun Kang, Chang D. Yoo
Determining the appropriate batch size for mini-batch gradient descent is always time consuming as it often relies on grid search. This paper considers a resizable mini-batch gradi…
cs.LG2017★ 2 cited
Meta-Learning via Feature-Label Memory Network
Dawit Mureja, Hyunsin Park, Chang D. Yoo
Deep learning typically requires training a very capable architecture using large datasets. However, many important learning problems demand an ability to draw valid inferences fro…
cs.LG2017★ 4 cited
Early Improving Recurrent Elastic Highway Network
Hyunsin Park, Chang D. Yoo
To model time-varying nonlinear temporal dynamics in sequential data, a recurrent network capable of varying and adjusting the recurrence depth between input intervals is examined.…