Richard Zhang

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction

2016 · arXiv (Cornell University)

We propose split-brain autoencoders, a straightforward modification of the traditional autoencoder architecture, for unsupervised representation learning. The method adds a split to the network, resulting in two disjoint sub-networks. Each sub-network is trained to perform …