Seyed-Iman Mirzadeh

Orcid: 0000-0003-1586-0700

According to our database1, Seyed-Iman Mirzadeh authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error.
ACM Trans. Comput. Heal., January, 2024

2023
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition.
Sensors, July, 2023

Continual Learning Beyond a Single Model.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
Efficient Continual Learning Ensembles in Neural Network Subspaces.
CoRR, 2022

Architecture Matters in Continual Learning.
CoRR, 2022

Wide Neural Networks Forget Less Catastrophically.
Proceedings of the International Conference on Machine Learning, 2022

Continual Learning for Activity Recognition.
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.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Boosting Lying Posture Classification with Transfer Learning.
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.
ACM Trans. Design Autom. Electr. Syst., 2021

Wide Neural Networks Forget Less Catastrophically.
CoRR, 2021

Linear Mode Connectivity in Multitask and Continual Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

CL-Gym: Full-Featured PyTorch Library for Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition.
CoRR, 2020

Understanding the Role of Training Regimes in Continual Learning.
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.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dropout as an Implicit Gating Mechanism For Continual Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Improved Knowledge Distillation via Teacher Assistant.
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.
CoRR, 2019


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