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Matteo Boschini
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2020 – today
- 2024
- [j3]Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini
, Luca Moschella
Latent spectral regularization for continual learning. Pattern Recognit. Lett. 184: 119-125 (2024) - [c7]Martin Menabue
Semantic Residual Prompts for Continual Learning. ECCV (61) 2024: 1-18 - [i12]Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto
Semantic Residual Prompts for Continual Learning. CoRR abs/2403.06870 (2024) - [i11]Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato:
Selective Attention-based Modulation for Continual Learning. CoRR abs/2403.20086 (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) - 2023
- [j2]Matteo Boschini
Class-Incremental Continual Learning Into the eXtended DER-Verse. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5497-5512 (2023) - [i9]Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara:
CaSpeR: Latent Spectral Regularization for Continual Learning. CoRR abs/2301.03345 (2023) - [i8]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
Continual semi-supervised learning through contrastive interpolation consistency. Pattern Recognit. Lett. 162: 9-14 (2022) - [c6]Matteo Boschini
Transfer Without Forgetting. ECCV (23) 2022: 692-709 - [c5]Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli
Effects of Auxiliary Knowledge on Continual Learning. ICPR 2022: 1357-1363 - [c4]Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara:
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. NeurIPS 2022 - [i7]Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara:
Class-Incremental Continual Learning into the eXtended DER-verse. CoRR abs/2201.00766 (2022) - [i6]Matteo Boschini, Lorenzo Bonicelli
Transfer without Forgetting. CoRR abs/2206.00388 (2022) - [i5]Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli
Effects of Auxiliary Knowledge on Continual Learning. CoRR abs/2206.02577 (2022) - [i4]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
- [i3]Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Weakly Supervised Continual Learning. CoRR abs/2108.06552 (2021) - 2020
- [c3]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara:
Rethinking Experience Replay: a Bag of Tricks for Continual Learning. ICPR 2020: 2180-2187 - [c2]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara:
Dark Experience for General Continual Learning: a Strong, Simple Baseline. NeurIPS 2020 - [i2]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara:
Dark Experience for General Continual Learning: a Strong, Simple Baseline. CoRR abs/2004.07211 (2020) - [i1]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara:
Rethinking Experience Replay: a Bag of Tricks for Continual Learning. CoRR abs/2010.05595 (2020)
2010 – 2019
- 2016
- [c1]Matteo Boschini, Matteo Poggi, Stefano Mattoccia
Improving the reliability of 3D people tracking system by means of deep-learning. IC3D 2016: 1-8
Coauthor Index
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