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Lorenzo Bonicelli
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2020 – today
- 2024
- [i12]Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Semantic Residual Prompts for Continual Learning. CoRR abs/2403.06870 (2024) - [i11]Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara:
A Second-Order perspective on Compositionality and Incremental Learning. CoRR abs/2405.16350 (2024) - [i10]Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning. CoRR abs/2407.14249 (2024) - [i9]Emanuele Frascaroli, Aniello Panariello, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. CoRR abs/2407.15793 (2024) - [i8]Monica Millunzi, Lorenzo Bonicelli, Angelo Porrello, Jacopo Credi, Petter N. Kolm, Simone Calderara:
May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels. CoRR abs/2408.14284 (2024) - 2023
- [j3]Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara:
Class-Incremental Continual Learning Into the eXtended DER-Verse. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5497-5512 (2023) - [j2]Lorenzo Bonicelli, Angelo Porrello, Stefano Vincenzi, Carla Ippoliti, Federica Iapaolo, Annamaria Conte, Simone Calderara:
Spotting Virus From Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [c4]Monica Millunzi, Lorenzo Bonicelli, Alberto Zurli, Alessio Salman, Jacopo Credi, Simone Calderara:
Novel continual learning techniques on noisy label datasets. Ital-IA 2023: 517-521 - [i7]Lorenzo Bonicelli, Matteo Boschini, Emanuele Frascaroli, Angelo Porrello, Matteo Pennisi, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato, Simone Calderara:
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning. CoRR abs/2305.03648 (2023) - 2022
- [j1]Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Continual semi-supervised learning through contrastive interpolation consistency. Pattern Recognit. Lett. 162: 9-14 (2022) - [c3]Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara:
Transfer Without Forgetting. ECCV (23) 2022: 692-709 - [c2]Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara:
Effects of Auxiliary Knowledge on Continual Learning. ICPR 2022: 1357-1363 - [c1]Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara:
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. NeurIPS 2022 - [i6]Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara:
Class-Incremental Continual Learning into the eXtended DER-verse. CoRR abs/2201.00766 (2022) - [i5]Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara:
Transfer without Forgetting. CoRR abs/2206.00388 (2022) - [i4]Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara, Concetto Spampinato:
Effects of Auxiliary Knowledge on Continual Learning. CoRR abs/2206.02577 (2022) - [i3]Lorenzo Bonicelli, Angelo Porrello, Stefano Vincenzi, Carla Ippoliti, Federica Iapaolo, Annamaria Conte, Simone Calderara:
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. CoRR abs/2209.05251 (2022) - [i2]Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara:
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. CoRR abs/2210.06443 (2022) - 2021
- [i1]Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Weakly Supervised Continual Learning. CoRR abs/2108.06552 (2021)
Coauthor Index
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