| Improved knowledge distillation via teacher assistant: Bridging the gap between student and teacher SI Mirzadeh, M Farajtabar, A Li, H Ghasemzadeh AAAI Conference on Artificial Intelligence (AAAI), 2019 | 1364* | 2019 |
| Understanding the role of training regimes in continual learning SI Mirzadeh, M Farajtabar, R Pascanu, H Ghasemzadeh Advances in Neural Information Processing Systems (NeurIPS), 2020 | 240 | 2020 |
| Linear mode connectivity in multitask and continual learning SI Mirzadeh, M Farajtabar, D Gorur, R Pascanu, H Ghasemzadeh International Conference on Learning Representations (ICLR), 2021 | 139 | 2021 |
| Gsm-symbolic: Understanding the limitations of mathematical reasoning in large language models I Mirzadeh, K Alizadeh, H Shahrokhi, O Tuzel, S Bengio, M Farajtabar arXiv preprint arXiv:2410.05229, 2024 | 136 | 2024 |
| Llm in a flash: Efficient large language model inference with limited memory K Alizadeh, SI Mirzadeh, D Belenko, S Khatamifard, M Cho, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 93 | 2024 |
| Architecture matters in continual learning SI Mirzadeh, A Chaudhry, D Yin, T Nguyen, R Pascanu, D Gorur, ... arXiv preprint arXiv:2202.00275, 2022 | 78 | 2022 |
| Relu strikes back: Exploiting activation sparsity in large language models I Mirzadeh, K Alizadeh, S Mehta, CC Del Mundo, O Tuzel, G Samei, ... ICLR 2024, 2023 | 76 | 2023 |
| Wide neural networks forget less catastrophically SI Mirzadeh, A Chaudhry, D Yin, H Hu, R Pascanu, D Gorur, M Farajtabar International Conference on Machine Learning (ICML), 15699-15717, 2022 | 72 | 2022 |
| Openelm: An efficient language model family with open training and inference framework S Mehta, MH Sekhavat, Q Cao, M Horton, Y Jin, C Sun, SI Mirzadeh, ... Workshop on Efficient Systems for Foundation Models II@ ICML2024, 2024 | 66* | 2024 |
| Dropout as an Implicit Gating Mechanism For Continual Learning SI Mirzadeh, M Farajtabar, H Ghasemzadeh The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020 | 57 | 2020 |
| ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition P Alinia, SI Mirzadeh, H Ghasemzadeh arXiv preprint arXiv:2003.07415, 2020 | 12 | 2020 |
| TransNet: minimally supervised deep transfer learning for dynamic adaptation of wearable systems SA Rokni, M Nourollahi, P Alinia, I Mirzadeh, M Pedram, H Ghasemzadeh ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (1 …, 2020 | 11 | 2020 |
| GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. 2024 I Mirzadeh, K Alizadeh, H Shahrokhi, O Tuzel, S Bengio, M Farajtabar URL https://arxiv. org/abs/2410.05229, 0 | 11 | |
| Continual learning beyond a single model T Doan, SI Mirzadeh, M Farajtabar Conference on Lifelong Learning Agents, 961-991, 2023 | 10 | 2023 |
| Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems SI Mirzadeh, H Ghasemzadeh International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 10 | 2020 |
| Use of machine learning to predict medication adherence in individuals at risk for atherosclerotic cardiovascular disease SI Mirzadeh, A Arefeen, J Ardo, R Fallahzadeh, B Minor, JA Lee, ... Smart Health 26, 100328, 2022 | 9 | 2022 |
| Designing deep neural networks robust to sensor failure in mobile health environments A Mamun, SI Mirzadeh, H Ghasemzadeh 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 9 | 2022 |
| Efficient continual learning ensembles in neural network subspaces T Doan, SI Mirzadeh, J Pineau, M Farajtabar arXiv preprint arXiv:2202.09826, 2022 | 8 | 2022 |
| Cl-gym: Full-featured pytorch library for continual learning SI Mirzadeh, H Ghasemzadeh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 8 | 2021 |
| LIDS: mobile system to monitor type and volume of liquid intake M Pedram, SI Mirzadeh, SA Rokni, R Fallahzadeh, DMK Woodbridge, ... IEEE Sensors Journal 21 (18), 20750-20763, 2021 | 6 | 2021 |
Mehrdad FarajtabarResearch Scientist at AppleAdresă de e-mail confirmată pe apple.com
