1 citations · 2 across the 9 of their papers we have counts for
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Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
Amin Banayeeanzade, Mohammad Rostami
Continual learning is crucial for creating AI agents that can learn and improve themselves autonomously. A primary challenge in continual learning is to learn new tasks without los…
pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup
Yasaman Saadati, Mohammad Rostami, M. Hadi Amini
Traditional Federated Learning (FL) methods encounter significant challenges when dealing with heterogeneous data and providing personalized solutions for non-IID scenarios. Person…
CRISPR: Ensemble Model
Mohammad Rostami, Amin Ghariyazi, Hamed Dashti +2
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) is a gene editing technology that has revolutionized the fields of biology and medicine. However, one of the chal…
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay
Mohammad Rostami
We introduce an algorithm for tackling the problem of unsupervised domain adaptation (UDA) in continual learning (CL) scenarios. The primary objective is to maintain model generali…