Fahad Sarfraz

According to our database, Fahad Sarfraz authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning.

Fahad Sarfraz, Bahram Zonooz, Elahe Arani

CoRR, 2024

2023

A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning.

Fahad Sarfraz, Elahe Arani, Bahram Zonooz

Trans. Mach. Learn. Res., 2023

Towards Brain Inspired Design for Addressing the Shortcomings of ANNs.

Fahad Sarfraz, Elahe Arani, Bahram Zonooz

CoRR, 2023

Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning.

Fahad Sarfraz, Elahe Arani, Bahram Zonooz

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SAFEXPLAIN: Safe and Explainable Critical Embedded Systems Based on AI.

Jaume Abella, Jon Pérez, Cristofer Englund, Bahram Zonooz, Gabriele Giordana, Carlo Donzella, Francisco J. Cazorla, Enrico Mezzetti, Isabel Serra, Axel Brando, Irune Agirre, Fernando Eizaguirre, Thanh Hai Bui, Elahe Arani, Fahad Sarfraz, Ajay Balasubramaniam, Ahmed Badar, Ilaria Bloise, Lorenzo Feruglio, Ilaria Cinelli, Davide Brighenti, Davide Cunial

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Sparse Coding in a Dual Memory System for Lifelong Learning.

Fahad Sarfraz, Elahe Arani, Bahram Zonooz

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System.

Elahe Arani, Fahad Sarfraz, Bahram Zonooz

Proceedings of the Tenth International Conference on Learning Representations, 2022

SYNERgy between SYNaptic Consolidation and Experience Replay for General Continual Learning.

Fahad Sarfraz, Elahe Arani, Bahram Zonooz

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Noisy Concurrent Training for Efficient Learning under Label Noise.

Fahad Sarfraz, Elahe Arani, Bahram Zonooz

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Noise as a Resource for Learning in Knowledge Distillation.

Elahe Arani, Fahad Sarfraz, Bahram Zonooz

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Knowledge Distillation Beyond Model Compression.

Fahad Sarfraz, Elahe Arani, Bahram Zonooz

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks.

Elahe Arani, Fahad Sarfraz, Bahram Zonooz

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Improving Generalization and Robustness with Noisy Collaboration in Knowledge Distillation.

Elahe Arani, Fahad Sarfraz, Bahram Zonooz

CoRR, 2019