Siham Rebbah

Hierarchical prompt composition for memory-efficient open-world continual learning in vision-language foundation models

The Hierarchical Prompt Composition Network (HPC-NET) is introduced, a parameter-efficient architecture for continual learning in open-world environments that decomposes learnable prompts into three tiers: foundational prompts that encode broad visual primitives, compositional prompts that aggregate mid-level patterns,...