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Those are both fully labeled datasets so they're usually not used for semi-supervised learning. Adam Coates has done some semi-supervised learning experiments on CIFAR-10 by throwing out most of the labels. See his AISTATS 11, ICML 11, and NIPS 11 paper. He also uses the STL-10 dataset that he created but so far as I know, that hasn't caught on with other labs yet. You might look into what Ruslan Salakhutdinov used for his recent one-shot-learning work. STL-10 seems appropriate. Thank you. Anyway, I found a paper on semi-supervised learning with CIFAR (not sure 10 or 100) http://books.nips.cc/papers/files/nips22/NIPS2009_0438.pdf
(Mar 02 '12 at 07:52)
Vo Phong
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