Weakly Supervised Continual Learning. - Matteo Boschini; Pietro Buzzega; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (CoRR, 2021)

Transfer Without Forgetting. - Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Concetto Spampinato; Simone Calderara (ECCV (23), 2022)

Effects of Auxiliary Knowledge on Continual Learning. - Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Lorenzo Bonicelli; Matteo Boschini; Simone Calderara (ICPR, 2022)

On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. - Lorenzo Bonicelli; Matteo Boschini; Angelo Porrello; Concetto Spampinato; Simone Calderara (NeurIPS, 2022)

Effects of Auxiliary Knowledge on Continual Learning. - Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Lorenzo Bonicelli; Matteo Boschini; Simone Calderara; Concetto Spampinato (CoRR, 2022)

Continual semi-supervised learning through contrastive interpolation consistency. - Matteo Boschini; Pietro Buzzega; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (Pattern Recognit. Lett., 2022)

Novel continual learning techniques on noisy label datasets. - Monica Millunzi; Lorenzo Bonicelli; Alberto Zurli; Alessio Salman; Jacopo Credi; Simone Calderara (Ital-IA, 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)

Spotting Virus From Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. - Lorenzo Bonicelli; Angelo Porrello; Stefano Vincenzi; Carla Ippoliti; Federica Iapaolo; Annamaria Conte; Simone Calderara (IEEE Trans. Geosci. Remote. Sens., 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., 2023)

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. - Emanuele Frascaroli; Aniello Panariello; Pietro Buzzega; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (BMVC, 2024)

May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels. - Monica Millunzi; Lorenzo Bonicelli; Angelo Porrello; Jacopo Credi; Petter N. Kolm; Simone Calderara (BMVC, 2024)

Beyond the Surface: A Comprehensive Analysis of Implicit Bias in Vision-Language Models. - Giacomo Capitani; Alice Lucarini; Lorenzo Bonicelli; Federico Bolelli; Simone Calderara; Loris Vezzali; Elisa Ficarra (ECCV Workshops (21), 2024)

Semantic Residual Prompts for Continual Learning. - Martin Menabue; Emanuele Frascaroli; Matteo Boschini; Enver Sangineto; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (ECCV (61), 2024)

An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning. - Martin Menabue; Emanuele Frascaroli; Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (LOD (1), 2024)

Saliency-driven Experience Replay for Continual Learning. - Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara; Simone Palazzo; Concetto Spampinato (NeurIPS, 2024)

A Second-Order perspective on Compositionality and Incremental Learning. - Angelo Porrello; Lorenzo Bonicelli; Pietro Buzzega; Monica Millunzi; Simone Calderara; Rita Cucchiara (CoRR, 2024)

A Second-Order Perspective on Model Compositionality and Incremental Learning. - Angelo Porrello; Lorenzo Bonicelli; Pietro Buzzega; Monica Millunzi; Simone Calderara; Rita Cucchiara (ICLR, 2025)

Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations. - Giacomo Capitani; Lorenzo Bonicelli; Angelo Porrello; Federico Bolelli; Simone Calderara; Elisa Ficarra (WACV, 2025)

Update Your Transformer to the Latest Release: Re-Basin of Task Vectors. - Filippo Rinaldi; Giacomo Capitani; Lorenzo Bonicelli; Donato Crisostomi; Federico Bolelli; Elisa Ficarra; Emanuele Rodolà; Simone Calderara; Angelo Porrello (CoRR, 2025)