3 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?
Mohammad Ali Vahedifar, Abhisek Ray, Qi Zhang
Continual learning enables neural networks to learn tasks sequentially without forgetting previously acquired knowledge. However, neural networks suffer from catastrophic forgettin…
No Forgetting Learning: Buffer-free Continual Learning Classification
Mohammad Ali Vahedifar, Qi Zhang
Most Continual Learning (CL) methods maintain performance on earlier tasks by storing exemplars in a replay buffer, introducing memory overhead that scales with the number of tasks…
Shapley-Based Data Valuation with Mutual Information: A Key to Modified K-Nearest Neighbors
Mohammad Ali Vahedifar, Azim Akhtarshenas, Mohammad Mohammadi Rafatpanah +1
The K-Nearest Neighbors (KNN) algorithm is widely used for classification and regression; however, it suffers from limitations, including the equal treatment of all samples. We pro…
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Azim Akhtarshenas, Mohammad Ali Vahedifar, Navid Ayoobi +4
Robust machine learning (ML) models can be developed by leveraging large volumes of data and distributing the computational tasks across numerous devices or servers. Federated lear…