Authors
Ilya Sutskever, Rafal Jozefowicz, Karol Gregor, Danilo Rezende, Tim Lillicrap, Oriol Vinyals
Publication date
2015/11/19
Journal
arXiv preprint arXiv:1511.06440
Description
Abstract: General unsupervised learning is a long-standing conceptual problem in machine
learning. Supervised learning is successful because it can be solved by the minimization of
the training error cost function. Unsupervised learning is not as successful, because the
unsupervised objective may be unrelated to the supervised task of interest. For an example,
density modelling and reconstruction have often been used for unsupervised learning, but
they did not produced the sought-after performance gains, because they have no ...
Total citations
20163
Scholar articles
I Sutskever, R Jozefowicz, K Gregor, D Rezende… - arXiv preprint arXiv:1511.06440, 2015