Mojtaba Faramarzi

According to our database, Mojtaba Faramarzi authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

2023

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

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

PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks.

Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Adversarial Feature Desensitization.

Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

IIRC: Incremental Implicitly-Refined Classification.

Mohamed A. Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

PatchUp: A Regularization Technique for Convolutional Neural Networks.

Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar

CoRR, 2020