Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization F Pelosin, S Jha, A Torsello, B Raducanu, J van de Weijer Continual Learning Workshop (CVPR 2022), 2022 | 21 | 2022 |
Separating structure from noise in large graphs using the regularity lemma M Fiorucci, F Pelosin, M Pelillo Pattern Recognition 98, 107070, 2020 | 9 | 2020 |
Simpler Is Better: off-the-shelf Continual Learning Through Pretrained Backbones F Pelosin Transformers 4 Vision Workshop (CVPR 2022), 2022 | 7 | 2022 |
DUCK: Distance-based Unlearning via Centroid Kinematics M Cotogni, J Bonato, L Sabetta, F Pelosin, A Nicolosi arXiv preprint arXiv:2312.02052, 2023 | 2 | 2023 |
Smaller Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning F Pelosin, A Torsello IJCNN 2022, 2022 | 2 | 2022 |
Graph Compression Using The Regularity Method F Pelosin Ca' Foscari University, 2018 | 1 | 2018 |
MIND: Multi-Task Incremental Network Distillation J Bonato, F Pelosin, L Sabetta, A Nicolosi AAAI 2024, 2023 | | 2023 |
Dissecting Continual Learning a Structural and Data Analysis F Pelosin arXiv preprint arXiv:2301.01033, 2023 | | 2023 |
Incremental Automatic Image Annotation L Sabetta, F Pelosin, G Denevi, A Nicolosi | | 2022 |
Unsupervised semantic discovery through visual patterns detection F Pelosin, A Gasparetto, A Albarelli, A Torsello Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2021 | | 2021 |