PatchUp: A Regularization Technique for Convolutional Neural Networks. - Mojtaba Faramarzi; Mohammad Amini; Akilesh Badrinaaraayanan; Vikas Verma; Sarath Chandar (CoRR, 2020)

IIRC: Incremental Implicitly-Refined Classification. - Mohamed A. Abdelsalam; Mojtaba Faramarzi; Shagun Sodhani; Sarath Chandar (CVPR, 2021)

Adversarial Feature Desensitization. - Pouya Bashivan; Reza Bayat; Adam Ibrahim; Kartik Ahuja; Mojtaba Faramarzi; Touraj Laleh; Blake A. Richards; Irina Rish (NeurIPS, 2021)

SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization. - Soroosh Shahtalebi; Jean-Christophe Gagnon-Audet; Touraj Laleh; Mojtaba Faramarzi; Kartik Ahuja; Irina Rish (CoRR, 2021)

PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks. - Mojtaba Faramarzi; Mohammad Amini; Akilesh Badrinaaraayanan; Vikas Verma; Sarath Chandar (AAAI, 2022)

An Introduction to Lifelong Supervised Learning. - Shagun Sodhani; Mojtaba Faramarzi; Sanket Vaibhav Mehta; Pranshu Malviya; Mohamed A. Abdelsalam; Janarthanan Rajendran; Sarath Chandar (CoRR, 2022)

Towards Lifelong Learning for Software Analytics Models: Empirical Study on Brown Build and Risk Prediction. - Doriane Olewicki; Sarra Habchi; Mathieu Nayrolles; Mojtaba Faramarzi; Sarath Chandar; Bram Adams (CoRR, 2023)

On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction. - Doriane Olewicki; Sarra Habchi; Mathieu Nayrolles; Mojtaba Faramarzi; Sarath Chandar; Bram Adams (ICSE-SEIP, 2024)