@inproceedings{vettoruzzo2025advancing,title={Advancing Meta-Learning for Enhanced Generalization Across Diverse Tasks},author={Vettoruzzo, Anna},year={2025},booktitle={Halmstad University Press},}
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren, and 1 more author
In International Conference on Learning Representations, 2025
@inproceedings{camelu,title={Unsupervised Meta-Learning via In-Context Learning},author={Vettoruzzo, Anna and Braccaioli, Lorenzo and Vanschoren, Joaquin and Nowaczyk, Marlena},booktitle={International Conference on Learning Representations},year={2025},}
2024
Learning to Learn without Forgetting using Attention
Anna Vettoruzzo, Joaquin Vanschoren, Mohamed-Rafik Bouguelia, and 1 more author
Conference on Lifelong Learning Agents (CoLLAs), 2024, 2024
@article{vettoruzzo2024learning,title={Learning to Learn without Forgetting using Attention},author={Vettoruzzo, Anna and Vanschoren, Joaquin and Bouguelia, Mohamed-Rafik and R{\"o}gnvaldsson, Thorsteinn},journal={Conference on Lifelong Learning Agents (CoLLAs), 2024},year={2024},}
Advances and challenges in meta-learning: A technical review
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Joaquin Vanschoren, and 2 more authors
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
@article{vettoruzzo2024advances,title={Advances and challenges in meta-learning: A technical review},author={Vettoruzzo, Anna and Bouguelia, Mohamed-Rafik and Vanschoren, Joaquin and Rognvaldsson, Thorsteinn and Santosh, KC},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},year={2024},publisher={IEEE},}
Personalized federated learning with contextual modulation and meta-learning
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson
In Proceedings of the 2024 SIAM International Conference on Data Mining (SDM), 2024
@inproceedings{vettoruzzo2024personalized,title={Personalized federated learning with contextual modulation and meta-learning},author={Vettoruzzo, Anna and Bouguelia, Mohamed-Rafik and R{\"o}gnvaldsson, Thorsteinn},booktitle={Proceedings of the 2024 SIAM International Conference on Data Mining (SDM)},pages={842--850},year={2024},organization={SIAM},}
Multimodal meta-learning through meta-learned task representations
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson
@article{vettoruzzo2024multimodal,title={Multimodal meta-learning through meta-learned task representations},author={Vettoruzzo, Anna and Bouguelia, Mohamed-Rafik and R{\"o}gnvaldsson, Thorsteinn},journal={Neural Computing and Applications},volume={36},number={15},pages={8519--8529},year={2024},publisher={Springer},}
Meta-learning for efficient unsupervised domain adaptation
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson
@article{vettoruzzo2024meta,title={Meta-learning for efficient unsupervised domain adaptation},author={Vettoruzzo, Anna and Bouguelia, Mohamed-Rafik and R{\"o}gnvaldsson, Thorsteinn},journal={Neurocomputing},volume={574},pages={127264},year={2024},publisher={Elsevier},}
2023
Meta-learning from multimodal task distributions using multiple sets of meta-parameters
Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson
In 2023 International Joint Conference on Neural Networks (IJCNN), 2023
@inproceedings{vettoruzzo2023meta,title={Meta-learning from multimodal task distributions using multiple sets of meta-parameters},author={Vettoruzzo, Anna and Bouguelia, Mohamed-Rafik and R{\"o}gnvaldsson, Thorsteinn},booktitle={2023 International Joint Conference on Neural Networks (IJCNN)},pages={1--8},year={2023},organization={IEEE},}