Simulated Annealing in Early Layers Leads to Better Generalization

1 code implementation • CVPR 2023 • AmirMohammad Sarfi, Zahra Karimpour, Muawiz Chaudhary, Nasir M. Khalid, Mirco Ravanelli, Sudhir Mudur, Eugene Belilovsky

Our principal innovation in this work is to use Simulated annealing in EArly Layers (SEAL) of the network in place of re-initialization of later layers.

Few-Shot Learning Transfer Learning

Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation

no code implementations • 1 Jul 2019 • Nader Asadi, AmirMohammad Sarfi, Mehrdad Hosseinzadeh, Sahba Tahsini, Mahdi Eftekhari

Our method can be applied to any layer of any arbitrary model without the need of any modification or additional training.