Contractive Rectifier Networks for Nonlinear Maximum Margin Classification

By Senjian An, Munawar Hayat, Salman Hameed Khan, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel. 2015

12 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

How researchers see this paper

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

In Artificial Intelligence

1. Raja Giryes
2. Guillermo Sapiro
3. Jure Sokolić
4. Miguel Raul Dias Rodrigues
5. Edouard Oyallon
6. Tengyu Ma
7. Colin Wei
8. Hao Su

In Electrical and Electronic Engineering

1. Guillermo Sapiro
2. Raja Giryes
3. Jure Sokolić
4. Miguel Raul Dias Rodrigues
5. Julien Mairal

Citations in the corpus

• Robust Large Margin Deep Neural Networks (2016, background): “The authors in [25] have observed that contractive DNNs with ReLUs trained with the hinge loss lead to a large classification margin.”