126 citations · 388 across the 24 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cs.CL2016★ 48 cited
Active Learning for Speech Recognition: the Power of Gradients
Jiaji Huang, Rewon Child, Vinay Rao +3
In training speech recognition systems, labeling audio clips can be expensive, and not all data is equally valuable. Active learning aims to label only the most informative samples…
cs.CV2016★ 2 cited
GraphConnect: A Regularization Framework for Neural Networks
Jiaji Huang, Qiang Qiu, Robert Calderbank +1
Deep neural networks have proved very successful in domains where large training sets are available, but when the number of training samples is small, their performance suffers fro…