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ORCIDSeyed-Iman Mirzadeh
Person information
- affiliation: Washington State University, Pullman, WA, USA
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2020 – today
- 2024
[j3]Asiful Arefeen
, Ali Akbari, Seyed-Iman Mirzadeh, Roozbeh Jafari, Behrooz A. Shirazi, Hassan Ghasemzadeh:
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error. ACM Trans. Comput. Heal. 5(1): 1:1-1:19 (2024)- [c13]Keivan Alizadeh, Seyed-Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar:
LLM in a flash: Efficient Large Language Model Inference with Limited Memory. ACL (1) 2024: 12562-12584 - [c12]Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar:
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. ICLR 2024 - [i13]Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Seyed-Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari:
OpenELM: An Efficient Language Model Family with Open Training and Inference Framework. CoRR abs/2404.14619 (2024) - [i12]Mohammad Samragh, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar:
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. CoRR abs/2409.12903 (2024) - 2023
- [j2]Parastoo Alinia, Asiful Arefeen, Zhila Esna Ashari, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition. Sensors 23(14): 6337 (2023) - [c11]Thang Doan, Seyed-Iman Mirzadeh, Mehrdad Farajtabar:
Continual Learning Beyond a Single Model. CoLLAs 2023: 961-991 - [i11]Seyed-Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar:
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. CoRR abs/2310.04564 (2023) - [i10]Keivan Alizadeh, Seyed-Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar:
LLM in a flash: Efficient Large Language Model Inference with Limited Memory. CoRR abs/2312.11514 (2023) - 2022
- [c10]Parastoo Alinia, Saman Parvaneh, Seyed-Iman Mirzadeh, Asiful Arefeen, Hassan Ghasemzadeh:
Boosting Lying Posture Classification with Transfer Learning. EMBC 2022: 109-114 - [c9]Ramesh Kumar Sah, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Continual Learning for Activity Recognition. EMBC 2022: 2416-2420 - [c8]Abdullah Mamun, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments. EMBC 2022: 2442-2446 - [c7]Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar:
Wide Neural Networks Forget Less Catastrophically. ICML 2022: 15699-15717 - [i9]Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar:
Architecture Matters in Continual Learning. CoRR abs/2202.00275 (2022) - [i8]Thang Doan, Seyed-Iman Mirzadeh, Joelle Pineau, Mehrdad Farajtabar:
Efficient Continual Learning Ensembles in Neural Network Subspaces. CoRR abs/2202.09826 (2022) - 2021
- [j1]Seyed Ali Rokni, Marjan Nourollahi, Parastoo Alinia, Seyed-Iman Mirzadeh, Mahdi Pedram, Hassan Ghasemzadeh:
TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems. ACM Trans. Design Autom. Electr. Syst. 26(1): 5:1-5:31 (2021) - [c6]Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
CL-Gym: Full-Featured PyTorch Library for Continual Learning. CVPR Workshops 2021: 3621-3627 - [c5]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh:
Linear Mode Connectivity in Multitask and Continual Learning. ICLR 2021 - [i7]Asiful Arefeen, Ali Akbari, Seyed-Iman Mirzadeh, Roozbeh Jafari, Behrooz A. Shirazi, Hassan Ghasemzadeh:
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error. CoRR abs/2107.00693 (2021) - [i6]Seyed-Iman Mirzadeh, Arslan Chaudhry, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar:
Wide Neural Networks Forget Less Catastrophically. CoRR abs/2110.11526 (2021) - 2020
- [c4]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh:
Improved Knowledge Distillation via Teacher Assistant. AAAI 2020: 5191-5198 - [c3]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh:
Dropout as an Implicit Gating Mechanism For Continual Learning. CVPR Workshops 2020: 945-951 - [c2]Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems. IJCAI 2020: 3422-3429 - [c1]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh:
Understanding the Role of Training Regimes in Continual Learning. NeurIPS 2020 - [i5]Parastoo Alinia, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition. CoRR abs/2003.07415 (2020) - [i4]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh:
Dropout as an Implicit Gating Mechanism For Continual Learning. CoRR abs/2004.11545 (2020) - [i3]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh:
Understanding the Role of Training Regimes in Continual Learning. CoRR abs/2006.06958 (2020) - [i2]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh:
Linear Mode Connectivity in Multitask and Continual Learning. CoRR abs/2010.04495 (2020)
2010 – 2019
- 2019
- [i1]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Hassan Ghasemzadeh:
Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher. CoRR abs/1902.03393 (2019)
Coauthor Index
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