Neural Information Processing Systems http://nips.cc/

Inductive biases encoding known data symmetries are key to make deep learning models generalize in high-dimensional settings such as computer vision, speech processing and computational neuroscience, just to name a few.

We also propose to more directly supervise the multi-scale features of the encoder toboostmulti-scale features.

The deviated model can be motivated by many applications in science.