747 citations · 902 across the 22 of their papers we have counts for
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cs.LG2016★ 33 cited
Understanding Visual Concepts with Continuation Learning
William F. Whitney, Michael Chang, Tejas Kulkarni +1
We introduce a neural network architecture and a learning algorithm to produce factorized symbolic representations. We propose to learn these concepts by observing consecutive fram…
cs.LG2016★ 8 cited
Disentangled Representations in Neural Models
William Whitney
Representation learning is the foundation for the recent success of neural network models. However, the distributed representations generated by neural networks are far from ideal.…