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cs.LG2026
Sparse Competition during Training For the Emergence of Specialized Modules
Baptiste Rossigneux, Karim Haroun
Modularity in deep neural networks has been proposed as a means of improving both interpretability and training by promoting disentangled representations and reducing redundancy. I…
cs.LG2026
Efficient Deep Learning for Biometrics: Overview, Challenges and Trends in Ear of Frugal AI
Karim Haroun, Aya Zitouni, Aicha Zenakhri +2
Recent advances in deep learning, whether on discriminative or generative tasks have been beneficial for various applications, among which security and defense. However, their incr…