1 citations · 1 across the 10 of their papers we have counts for
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LSA-PAST: Layer-Specific Adaptation and Prototype Transport for Compositional Incremental Learning
Kyle Stein, Andrew Arash Mahyari, Guillermo Francia +2
Class-Incremental Learning (CIL) enables models to recognize new classes over time while retaining prior knowledge, but many real-world problems are compositional, where visual con…
Temporal and Multimodal Deep Learning for Cyberattack Detection in LEO Satellite Systems
Kyle Stein, Guillermo Francia, Eman El-Sheikh +1
The growing reliance on Low-Earth Orbit (LEO) satellite communication systems has increased the need for intelligent methods capable of detecting cyberattacks across complex and dy…
Adapter-Based Few-Shot Continual Learning for Malicious Packet Recognition
Kyle Stein, Guillermo Francia, III Eman El-Sheikh +1
The continual evolution of malware variants necessitates detection systems that can adapt to new threats without retraining from scratch. However, continually updating models on ne…