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cs.LG2026
Balancing Stability and Plasticity in Sequentially Trained Early-Exiting Neural Networks
Alaa Zniber, Ouassim Karrakchou, Mounir Ghogho
Early-exiting neural networks enable adaptive inference by allowing inputs to exit at intermediate classifiers, reducing computation for easy samples while maintaining high accurac…
cs.LG2025
Confidence-gated training for efficient early-exit neural networks
Saad Mokssit, Ouassim Karrakchou, Alejandro Mousist +1
Early-exit neural networks reduce inference cost by enabling confident predictions at intermediate layers. However, joint training often leads to gradient interference, with deeper…