Semi-Supervised Learning with Ladder Networks

Antti Rasmus
Antti Rasmus
Mikko Honkala
Mikko Honkala

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 28 (NIPS 2015), 2015.

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Abstract:

We combine supervised learning with unsupervised learning in deep neural networks. The proposed model is trained to simultaneously minimize the sum of supervised and unsupervised cost functions by backpropagation, avoiding the need for layer-wise pre-training. Our work builds on top of the Ladder network proposed by Valpola [1] which we e...More

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