Seyed Iman Mirzadeh

发表

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

Hassan Ghasemzadeh, Roozbeh Jafari, Ali Akbari, 2021, ACM Trans. Comput. Heal..

Wide Neural Networks Forget Less Catastrophically pdf

Razvan Pascanu, Mehrdad Farajtabar, Arslan Chaudhry, 2021, ArXiv.

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

Hassan Ghasemzadeh, Ang Li, Mehrdad Farajtabar, 2019, ArXiv.

Wide Neural Networks Forget Less Catastrophically

Seyed Iman Mirzadeh, Razvan Pascanu, Mehrdad Farajtabar, 2021, ICML.

Continual Learning for Activity Recognition

Seyed Iman Mirzadeh, H. Ghasemzadeh, Ramesh Kumar Sah, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Use of machine learning to predict medication adherence in individuals at risk for atherosclerotic cardiovascular disease.

Seyed Iman Mirzadeh, Hassan Ghasemzadeh, Ramin Fallahzadeh, 2022, Smart health.

Continual Learning Beyond a Single Model

Seyed Iman Mirzadeh, Mehrdad Farajtabar, T. Doan, 2022, 2202.09826.

Understanding the Role of Training Regimes in Continual Learning pdf

Seyed Iman Mirzadeh, Razvan Pascanu, Mehrdad Farajtabar, 2020, NeurIPS.

Linear Mode Connectivity in Multitask and Continual Learning pdf

Seyed Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, 2020, ICLR.

Architecture Matters in Continual Learning

Seyed Iman Mirzadeh, Razvan Pascanu, Mehrdad Farajtabar, 2022, ArXiv.

Efficient Continual Learning Ensembles in Neural Network Subspaces

Seyed Iman Mirzadeh, Joelle Pineau, Mehrdad Farajtabar, 2022, ArXiv.

Dropout as an Implicit Gating Mechanism For Continual Learning

Hassan Ghasemzadeh, Mehrdad Farajtabar, Seyed-Iman Mirzadeh, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Improved Knowledge Distillation via Teacher Assistant

Seyed Iman Mirzadeh, Mehrdad Farajtabar, Akihiro Matsukawa, 2019, AAAI.

Boosting Lying Posture Classification with Transfer Learning

Seyed Iman Mirzadeh, S. Parvaneh, H. Ghasemzadeh, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Continual Learning Beyond a Single Model

Seyed Iman Mirzadeh, Mehrdad Farajtabar, T. Doan, 2022, 2202.09826.

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

Hassan Ghasemzadeh, Seyed-Iman Mirzadeh, Seyed Iman Mirzadeh, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

Mahdi Pedram, Marjan Nourollahi, Seyed Ali Rokni, 2020, ACM Trans. Design Autom. Electr. Syst..

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

Hassan Ghasemzadeh, Seyed-Iman Mirzadeh, Seyed Iman Mirzadeh, 2020, IJCAI.

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

Seyed Iman Mirzadeh, H. Ghasemzadeh, Abdullah Mamun, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Seyed Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh, 2019, ArXiv.

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

Zhila Esna Ashari, Seyed Iman Mirzadeh, H. Ghasemzadeh, 2023, Sensors.

ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition pdf

Hassan Ghasemzadeh, Seyed-Iman Mirzadeh, Parastoo Alinia, 2020, ArXiv.

Continual Learning Beyond a Single Model

Seyed Iman Mirzadeh, Mehrdad Farajtabar, T. Doan, 2022, CoLLAs.

Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering

Tyler L. Hayes, Andrei A. Rusu, Neil C. Rabinowitz, 2022 .