PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks M Faramarzi, M Amini, A Badrinaaraayanan, V Verma, S Chandar Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 589-597, 2022 | 64 | 2022 |
Sand-mask: An enhanced gradient masking strategy for the discovery of invariances in domain generalization S Shahtalebi, JC Gagnon-Audet, T Laleh, M Faramarzi, K Ahuja, I Rish arXiv preprint arXiv:2106.02266, 2021 | 46 | 2021 |
Iirc: Incremental implicitly-refined classification M Abdelsalam, M Faramarzi, S Sodhani, S Chandar Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 34 | 2021 |
Adversarial Feature Desensitization P Bashivan, R Bayat, A Ibrahim, K Ahuja, M Faramarzi, T Laleh, ... arXiv preprint arXiv:2006.04621, 2021 | 25 | 2021 |
An introduction to lifelong supervised learning S Sodhani, M Faramarzi, SV Mehta, P Malviya, M Abdelsalam, ... arXiv preprint arXiv:2207.04354, 2022 | 13 | 2022 |
Chaotic continual learning T Laleh, M Faramarzi, I Rish, S Chandar 4th Lifelong Machine Learning Workshop at ICML 2020, 2020 | 7 | 2020 |
On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics-Empirical Study on Brown Build and Risk Prediction D Olewicki, S Habchi, M Nayrolles, M Faramarzi, S Chandar, B Adams Proceedings of the 46th International Conference on Software Engineering …, 2024 | 3* | 2024 |
Patchup: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks M Faramarzi, M Amini, A Badrinaaraayanan, V Verma, S Chandar arXiv preprint arXiv:2006.07794, 2020 | | 2020 |