Matteo Boschini

According to our database, Matteo Boschini authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Latent spectral regularization for continual learning.

Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara

Pattern Recognit. Lett., 2024

An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning.

Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

CoRR, 2024

Selective Attention-based Modulation for Continual Learning.

Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato

CoRR, 2024

Semantic Residual Prompts for Continual Learning.

Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

CoRR, 2024

2023

Class-Incremental Continual Learning Into the eXtended DER-Verse.

Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning.

Lorenzo Bonicelli, Matteo Boschini, Emanuele Frascaroli, Angelo Porrello, Matteo Pennisi, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato, Simone Calderara

CoRR, 2023

CaSpeR: Latent Spectral Regularization for Continual Learning.

Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara

CoRR, 2023

2022

Continual semi-supervised learning through contrastive interpolation consistency.

Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

Pattern Recognit. Lett., 2022

Effects of Auxiliary Knowledge on Continual Learning.

Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara, Concetto Spampinato

CoRR, 2022

On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning.

Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Effects of Auxiliary Knowledge on Continual Learning.

Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Transfer Without Forgetting.

Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Weakly Supervised Continual Learning.

Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

CoRR, 2021

2020

Dark Experience for General Continual Learning: a Strong, Simple Baseline.

Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Rethinking Experience Replay: a Bag of Tricks for Continual Learning.

Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2016

Improving the reliability of 3D people tracking system by means of deep-learning.

Matteo Boschini, Matteo Poggi, Stefano Mattoccia

Proceedings of the International Conference on 3D Imaging, 2016