32 citations · 122 across the 21 of their papers we have counts for
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cs.LG2017★ 2 cited
DropMax: Adaptive Variational Softmax
Hae Beom Lee, Juho Lee, Saehoon Kim +2
We propose DropMax, a stochastic version of softmax classifier which at each iteration drops non-target classes according to dropout probabilities adaptively decided for each insta…
cs.LG2017★ 1 cited
Deep Asymmetric Multi-task Feature Learning
Hae Beom Lee, Eunho Yang, Sung Ju Hwang
We propose Deep Asymmetric Multitask Feature Learning (Deep-AMTFL) which can learn deep representations shared across multiple tasks while effectively preventing negative transfer…