62 citations · 116 across the 14 of their papers we have counts for
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cs.LG2020★ 3 cited
Semi-supervised Disentanglement with Independent Vector Variational Autoencoders
Bo-Kyeong Kim, Sungjin Park, Geonmin Kim +1
We aim to separate the generative factors of data into two latent vectors in a variational autoencoder. One vector captures class factors relevant to target classification tasks, w…
cs.LG2018★ 2 cited
End-to-end Multimodal Emotion and Gender Recognition with Dynamic Joint Loss Weights
Myungsu Chae, Tae-Ho Kim, Young Hoon Shin +2
Multi-task learning is a method for improving the generalizability of multiple tasks. In order to perform multiple classification tasks with one neural network model, the losses of…
cs.LG2013★ 7 cited
Hierarchical Data Representation Model - Multi-layer NMF
Hyun Ah Song, Soo-Young Lee
In this paper, we propose a data representation model that demonstrates hierarchical feature learning using nsNMF. We extend unit algorithm into several layers. Experiments with do…