Seyed-Iman Mirzadeh

According to our database, Seyed-Iman Mirzadeh authored at least 25 papers between 2019 and 2024.

Collaborative distances:

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

2024

Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error.

Asiful Arefeen, Ali Akbari, Seyed-Iman Mirzadeh, Roozbeh Jafari, Behrooz A. Shirazi, Hassan Ghasemzadeh

ACM Trans. Comput. Heal., January, 2024

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

Seyed-Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar

CoRR, 2024

Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization.

Mohammad Samragh, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar

CoRR, 2024

OpenELM: An Efficient Language Model Family with Open Training and Inference Framework.

Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Seyed-Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari

CoRR, 2024

ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models.

Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLM in a flash: Efficient Large Language Model Inference with Limited Memory.

Keivan Alizadeh, Seyed-Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition.

Parastoo Alinia, Asiful Arefeen, Zhila Esna Ashari, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh

Sensors, July, 2023

LLM in a flash: Efficient Large Language Model Inference with Limited Memory.

Keivan Alizadeh, Seyed-Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar

CoRR, 2023

Continual Learning Beyond a Single Model.

Thang Doan, Seyed-Iman Mirzadeh, Mehrdad Farajtabar

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Efficient Continual Learning Ensembles in Neural Network Subspaces.

Thang Doan, Seyed-Iman Mirzadeh, Joelle Pineau, Mehrdad Farajtabar

CoRR, 2022

Architecture Matters in Continual Learning.

Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar

CoRR, 2022

Wide Neural Networks Forget Less Catastrophically.

Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar

Proceedings of the International Conference on Machine Learning, 2022

Continual Learning for Activity Recognition.

Ramesh Kumar Sah, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments.

Abdullah Mamun, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Boosting Lying Posture Classification with Transfer Learning.

Parastoo Alinia, Saman Parvaneh, Seyed-Iman Mirzadeh, Asiful Arefeen, Hassan Ghasemzadeh

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems.

Seyed Ali Rokni, Marjan Nourollahi, Parastoo Alinia, Seyed-Iman Mirzadeh, Mahdi Pedram, Hassan Ghasemzadeh

ACM Trans. Design Autom. Electr. Syst., 2021

Wide Neural Networks Forget Less Catastrophically.

Seyed-Iman Mirzadeh, Arslan Chaudhry, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar

CoRR, 2021

Linear Mode Connectivity in Multitask and Continual Learning.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh

Proceedings of the 9th International Conference on Learning Representations, 2021

CL-Gym: Full-Featured PyTorch Library for Continual Learning.

Seyed-Iman Mirzadeh, Hassan Ghasemzadeh

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

2020

ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition.

Parastoo Alinia, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh

CoRR, 2020

Understanding the Role of Training Regimes in Continual Learning.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems.

Seyed-Iman Mirzadeh, Hassan Ghasemzadeh

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dropout as an Implicit Gating Mechanism For Continual Learning.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Improved Knowledge Distillation via Teacher Assistant.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Hassan Ghasemzadeh

CoRR, 2019