| 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 | 856* | 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 | 154 | 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 | 75 | 2021 |
| 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 | 45 | 2020 |
| Architecture matters in continual learning SI Mirzadeh, A Chaudhry, D Yin, T Nguyen, R Pascanu, D Gorur, ... arXiv preprint arXiv:2202.00275, 2022 | 37 | 2022 |
| 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 | 33 | 2022 |
| ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition P Alinia, SI Mirzadeh, H Ghasemzadeh arXiv preprint arXiv:2003.07415, 2020 | 10 | 2020 |
| Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems SI Mirzadeh, H Ghasemzadeh International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 9 | 2020 |
| 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 | 7 | 2021 |
| 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 | 7 | 2020 |
| Efficient continual learning ensembles in neural network subspaces T Doan, SI Mirzadeh, J Pineau, M Farajtabar arXiv preprint arXiv:2202.09826, 2022 | 6 | 2022 |
| 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 | 4 | 2021 |
| Continual learning beyond a single model T Doan, SI Mirzadeh, M Farajtabar Conference on Lifelong Learning Agents, 961-991, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| Continual Learning for Activity Recognition RK Sah, SI Mirzadeh, H Ghasemzadeh 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 2 | 2022 |
| LabelMerger: Learning Activities in Uncontrolled Environments SI Mirzadeh, J Ardo, R Fallahzadeh, B Minor, L Evangelista, D Cook, ... International Conference on Transdisciplinary AI (TransAI), 64-67, 2019 | 2 | 2019 |
| Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition P Alinia, A Arefeen, ZE Ashari, SI Mirzadeh, H Ghasemzadeh Sensors 23 (14), 6337, 2023 | 1 | 2023 |
| Boosting lying posture classification with transfer learning P Alinia, S Parvaneh, SI Mirzadeh, A Arefeen, H Ghasemzadeh 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 1 | 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 | 1 | 2022 |
| ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models I Mirzadeh, K Alizadeh, S Mehta, CC Del Mundo, O Tuzel, G Samei, ... arXiv preprint arXiv:2310.04564, 2023 | | 2023 |
Hassan GhasemzadehArizona State UniversityE-mailová adresa ověřena na: asu.edu
