Learning to Learn with Compound HD Models

By Ruslan Salakhutdinov, Josh Tenenbaum, Antonio Torralba. 2011

29 citations recorded by the source corpus.

Subfields: Probabilistic & Bayesian Methods, Meta & Continual Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Probabilistic & Bayesian Methods

1. James T. Kwok
2. Lionel Ming-shuan Ni
3. Yaqing Wang
4. Quanming Yao

In Meta & Continual Learning

1. James T. Kwok
2. Lionel Ming-shuan Ni
3. Yaqing Wang
4. Quanming Yao

Citations in the corpus

• Generalizing from a Few Examples (2019, background): “resenting super classes, and in return each super class can provide guidance to its assigned classes, especially for Dtrain of a few examples. The feature learning part of [99] is further improved in [117] by using deep Boltzmann machines to learn more complicated features. 4.4.3 Latent Variables. S”