BONICELLI, LORENZO
BONICELLI, LORENZO
Dipartimento di Ingegneria "Enzo Ferrari"
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
2024 Menabue, Martin; Frascaroli, Emanuele; Boschini, Matteo; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone
Beyond the Surface: Comprehensive Analysis of Implicit Bias in Vision-Language Models
2024 Capitani, Giacomo; Lucarini, Alice; Bonicelli, Lorenzo; Bolelli, Federico; Calderara, Simone; Vezzali, Loris; Ficarra, Elisa
Class-Incremental Continual Learning into the eXtended DER-verse
2023 Boschini, Matteo; Bonicelli, Lorenzo; Buzzega, Pietro; Porrello, Angelo; Calderara, Simone
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
2024 Frascaroli, Emanuele; Panariello, Aniello; Buzzega, Pietro; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone
Continual semi-supervised learning through contrastive interpolation consistency
2022 Boschini, Matteo; Buzzega, Pietro; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone
Effects of Auxiliary Knowledge on Continual Learning
2022 Bellitto, Giovanni; Pennisi, Matteo; Palazzo, Simone; Bonicelli, Lorenzo; Boschini, Matteo; Calderara, Simone; Spampinato, Concetto
May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels
2024 Millunzi, Monica; Bonicelli, Lorenzo; Porrello, Angelo; Credi, Jacopo; Kolm, Petter N.; Calderara, Simone
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
2022 Bonicelli, Lorenzo; Boschini, Matteo; Porrello, Angelo; Spampinato, Concetto; Calderara, Simone
Semantic Residual Prompts for Continual Learning
2024 Menabue, Martin; Frascaroli, Emanuele; Boschini, Matteo; Sangineto, Enver; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks
2023 Bonicelli, Lorenzo; Porrello, Angelo; Vincenzi, Stefano; Ippoliti, Carla; Iapaolo, Federica; Conte, Annamaria; Calderara, Simone
Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations
2025 Capitani, Giacomo; Bonicelli, Lorenzo; Porrello, Angelo; Bolelli, Federico; Calderara, Simone; Ficarra, Elisa
Training convolutional neural networks to score pneumonia in slaughtered pigs
2021 Bonicelli, L.; Trachtman, A. R.; Rosamilia, A.; Liuzzo, G.; Hattab, J.; Alcaraz, E. M.; Del Negro, E.; Vincenzi, S.; Dondona, A. C.; Calderara, S.; Marruchella, G.
Transfer without Forgetting
2022 Boschini, Matteo; Bonicelli, Lorenzo; Porrello, Angelo; Bellitto, Giovanni; Pennisi, Matteo; Palazzo, Simone; Spampinato, Concetto; Calderara, Simone
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning | 1-gen-2024 | Menabue, Martin; Frascaroli, Emanuele; Boschini, Matteo; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone | |
| Beyond the Surface: Comprehensive Analysis of Implicit Bias in Vision-Language Models | 1-gen-2024 | Capitani, Giacomo; Lucarini, Alice; Bonicelli, Lorenzo; Bolelli, Federico; Calderara, Simone; Vezzali, Loris; Ficarra, Elisa | |
| Class-Incremental Continual Learning into the eXtended DER-verse | 1-gen-2023 | Boschini, Matteo; Bonicelli, Lorenzo; Buzzega, Pietro; Porrello, Angelo; Calderara, Simone | |
| CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning | 1-gen-2024 | Frascaroli, Emanuele; Panariello, Aniello; Buzzega, Pietro; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone | |
| Continual semi-supervised learning through contrastive interpolation consistency | 1-gen-2022 | Boschini, Matteo; Buzzega, Pietro; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone | |
| Effects of Auxiliary Knowledge on Continual Learning | 1-gen-2022 | Bellitto, Giovanni; Pennisi, Matteo; Palazzo, Simone; Bonicelli, Lorenzo; Boschini, Matteo; Calderara, Simone; Spampinato, Concetto | |
| May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels | 1-gen-2024 | Millunzi, Monica; Bonicelli, Lorenzo; Porrello, Angelo; Credi, Jacopo; Kolm, Petter N.; Calderara, Simone | |
| On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning | 1-gen-2022 | Bonicelli, Lorenzo; Boschini, Matteo; Porrello, Angelo; Spampinato, Concetto; Calderara, Simone | |
| Semantic Residual Prompts for Continual Learning | 1-gen-2024 | Menabue, Martin; Frascaroli, Emanuele; Boschini, Matteo; Sangineto, Enver; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone | |
| Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks | 1-gen-2023 | Bonicelli, Lorenzo; Porrello, Angelo; Vincenzi, Stefano; Ippoliti, Carla; Iapaolo, Federica; Conte, Annamaria; Calderara, Simone | |
| Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations | 1-gen-2025 | Capitani, Giacomo; Bonicelli, Lorenzo; Porrello, Angelo; Bolelli, Federico; Calderara, Simone; Ficarra, Elisa | |
| Training convolutional neural networks to score pneumonia in slaughtered pigs | 1-gen-2021 | Bonicelli, L.; Trachtman, A. R.; Rosamilia, A.; Liuzzo, G.; Hattab, J.; Alcaraz, E. M.; Del Negro, E.; Vincenzi, S.; Dondona, A. C.; Calderara, S.; Marruchella, G. | |
| Transfer without Forgetting | 1-gen-2022 | Boschini, Matteo; Bonicelli, Lorenzo; Porrello, Angelo; Bellitto, Giovanni; Pennisi, Matteo; Palazzo, Simone; Spampinato, Concetto; Calderara, Simone |