2016
Multi-step learning and underlying structure in statistical models
NeurIPS 2016poster
In multi-step learning, where a final learning task is accomplished via a sequence of intermediate learning tasks, the intuition is that successive steps or levels transform the initial data into representations more and more ``suited" to the final learning task. A related principle arises in transf…