| Semantic residual prompts for continual learning M Menabue, E Frascaroli, M Boschini, E Sangineto, L Bonicelli, A Porrello, ... European Conference on Computer Vision, 1-18, 2024 | 7 | 2024 |
| Clip with generative latent replay: a strong baseline for incremental learning E Frascaroli, A Panariello, P Buzzega, L Bonicelli, A Porrello, S Calderara arXiv preprint arXiv:2407.15793, 2024 | 5 | 2024 |
| Latent spectral regularization for continual learning E Frascaroli, R Benaglia, M Boschini, L Moschella, C Fiorini, E Rodolà, ... Pattern Recognition Letters, 2024 | 4* | 2024 |
| On the effectiveness of equivariant regularization for robust online continual learning L Bonicelli, M Boschini, E Frascaroli, A Porrello, M Pennisi, G Bellitto, ... arXiv preprint arXiv:2305.03648, 2023 | 3 | 2023 |
| An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning M Menabue, E Frascaroli, M Boschini, L Bonicelli, A Porrello, S Calderara arXiv preprint arXiv:2407.14249, 2024 | | 2024 |
| Meta-learning con apprendimento non supervisionato in uno scenario few-shot continuo E FRASCAROLI | | 2020 |
| Semantic Residual Prompts for Continual Learning-Supplementary Materials M Menabue, E Frascaroli, M Boschini, E Sangineto, L Bonicelli, A Porrello, ... | | |
| An mRNA and protein level transformer-based predictor E Frascaroli, M Videau, V Pippi, VM Scarrica, BW Viglianisi, T Sarapisto | | |