Introducing Graph Smoothness Loss for Training Deep Learning Architectures

Myriam Bontonou (1) , Carlos Lassance (1) , Ghouthi Boukli Hacene , Vincent Gripon (2, 1) , Jian Tang (3) , Antonio Ortega (4)

1 Lab-STICC_IMTA_CACS_IAS
2 IMT Atlantique - ELEC - Département Electronique
3 LPICM - Laboratoire de physique des interfaces et des couches minces [Palaiseau]
4 USC - University of Southern California

Domaines: Apprentissage [cs.LG]; Intelligence artificielle [cs.AI]; Traitement du signal et de l'image [eess.SP]; Informatique et théorie des jeux [cs.GT]

Myriam Bontonou, Carlos Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, et al.. Introducing Graph Smoothness Loss for Training Deep Learning Architectures. 2019 IEEE Data Science Workshop (DSW), Jun 2019, Minneapolis, United States. pp.160-164, ⟨10.1109/DSW.2019.8755559⟩. ⟨hal-02487427⟩