Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation. - Nader Asadi; AmirMohammad Sarfi; Sahba Tahsini; Mahdi Eftekhari (CoRR, 2019)

Towards Shape Biased Unsupervised Representation Learning for Domain Generalization. - Nader Asadi; Mehrdad Hosseinzadeh; Mahdi Eftekhari (CoRR, 2019)

Probing Representation Forgetting in Supervised and Unsupervised Continual Learning. - MohammadReza Davari; Nader Asadi; Sudhir P. Mudur; Rahaf Aljundi; Eugene Belilovsky (CVPR, 2022)

New Insights on Reducing Abrupt Representation Change in Online Continual Learning. - Lucas Caccia; Rahaf Aljundi; Nader Asadi; Tinne Tuytelaars; Joelle Pineau; Eugene Belilovsky (ICLR, 2022)

Tackling Online One-Class Incremental Learning by Removing Negative Contrasts. - Nader Asadi; Sudhir P. Mudur; Eugene Belilovsky (CoRR, 2022)

Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning. - Nader Asadi; MohammadReza Davari; Sudhir P. Mudur; Rahaf Aljundi; Eugene Belilovsky (ICML, 2023)

DAS: A Deformable Attention to Capture Salient Information in CNNs. - Farzad Salajegheh; Nader Asadi; Soroush Saryazdi; Sudhir P. Mudur (CoRR, 2023)

Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy? - Nader Asadi; Mahdi Beitollahi; Yasser H. Khalil; Yinchuan Li; Guojun Zhang; Xi Chen 009 (CoRR, 2024)

DFML: Decentralized Federated Mutual Learning. - Yasser H. Khalil; Amir Hossein Estiri; Mahdi Beitollahi; Nader Asadi; Sobhan Hemati; Xu Li 001; Guojun Zhang; Xi Chen 009 (Trans. Mach. Learn. Res., 2024)