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Found 2 papers, 1 papers with code
What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks
Top-down information plays a central role in human perception, but plays relatively little role in many current state-of-the-art deep networks, such as Convolutional Neural Networks (CNNs).
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
We seek to improve deep neural networks by generalizing the pooling operations that play a central role in current architectures.
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Image Classification
on MNIST
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