2 papers
cs.LG2026
Beyond Backbone Backpropagation: A Decoupled Strategy for Efficient Transfer Learning
Daniel Vila-Cruz, Laura Morán-Fernández, Verónica Bolón-Canedo
Deep learning models achieve state-of-the-art image classification but face deployment challenges due to computational costs and energy demands. We propose a lightweight training s…
cs.LG2026
HydraCIL: Decoupled Class-Incremental Learning through Prototype-Guided Multi-Head Classifiers
Daniel Vila-Cruz, Laura Morán-Fernández, Verónica Bolón-Canedo
We present HydraCIL, a decoupled continual learning model based on prototype-guided multi-head classifiers, targeting sustainable deployment in embedded and resource-constrained en…