Large Scale Machine Learning

By Ronan Collobert. 2004

8 citations recorded by the source corpus.

Subfields: Optimization & Training, ML Systems & Hardware

How researchers see this paper

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

In Optimization & Training

1. Ronan Collobert
2. Jason Aaron Edward Weston
3. Yoshua Bengio
4. Koray Kavukcuoglu
5. L. Eon Bottou
6. Michael Karlen
7. Pavel P. Kuksa
8. Paulo J. G. Lisboa

In ML Systems & Hardware

1. Ronan Collobert
2. L. Eon Bottou
3. Jason Aaron Edward Weston
4. Yann LeCun
5. Yoshua Bengio
6. Georgios Tzimiropoulos
7. Vishal M. Patel
8. José Manuel Álvarez

Citations in the corpus

• Natural Language Processing (Almost) from Scratch (2011, background): “It has the advantage of being slightly cheaper to compute (compared to the exact hyperbolic tangent), while leaving the generalization performance unchanged (Collobert, 2004).”
• Making machine learning models interpretable (2012, background): “Sophisticated adjustments to existing machine learning techniques are often required to achieve this goal [7].”