A Hybrid Approach to Malware Detection: Integrating Few-Shot Model-Agnostic Meta-Learning with Autoencoders
A hybrid autoencoder and MAML model detects ransomware from as few as one labeled sample.
Stories per day · 30 days
4 stories, newest first · one card per story
Stories tagged #few-shot-learning
ALPINE: Adaptive Localization for Parameter- and Sample-Efficient Few-Shot Learning
ALPINE is an ultra-lightweight few-shot image classifier that beats Prototypical Networks, Relation Networks, and MAML with 27-53% fewer parameters.
Convergent Emergence of In-Context Learning Across Modalities
Controlled experiments show few-shot in-context learning emerges across six modalities including language, genomes, images, and proteins, partially supporting a convergence hypothesis.
Few-Shot Learning for Network Intrusion Detection: Methods, Datasets, and Performance
A PRISMA-style review of 21 few-shot learning studies for network intrusion detection finds meta-learning and CNNs dominant and evaluation inconsistently reported.