Our papers included in Mammoth

• Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations (WACV 2025)

  @inproceedings{capitani2025towards,
    title={Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations},
    author={Capitani, Giacomo and Bonicelli, Lorenzo and Porrello, Angelo and Bolelli, Federico and Calderara, Simone and Ficarra, Elisa and others},
    booktitle={Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision 2025},
    year={2025}
  }
  

• May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels (BMVC 2024)

  @inproceedings{millunzi2024may,
    title={CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning},
    author={Millunzi, Monica and Bonicelli, Lorenzo and Porrello, Angelo and Credi, Jacopo and Kolm, Petter and Calderara, Simone},
    booktitle={35th British Machine Vision Conference},
    year={2024}
  }
  

• CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning (BMVC 2024)

  @inproceedings{frascaroli2024clip,
    title={CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning},
    author={Frascaroli, Emanuele and Panariello, Aniello and Buzzega, Pietro and Bonicelli, Lorenzo and Porrello, Angelo and Calderara, Simone},
    booktitle={35th British Machine Vision Conference},
    year={2024}
  }
  

• Semantic Residual Prompts for Continual Learning (ECCV 2024)

  @inproceedings{menabue2024semantic,
    title={Semantic Residual Prompts for Continual Learning},
    author={Menabue, Martin and Frascaroli, Emanuele and Boschini, Matteo and Sangineto, Enver and Bonicelli, Lorenzo and Porrello, Angelo and Calderara, Simone},
    booktitle={18th European Conference on Computer Vision},
    year={2024},
    organization={Springer}
  }
  

• Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning (ICPR 2024) (original code)

  @inproceedings{mosconi2024mask,
    title={Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning},
    author={Mosconi, Matteo and Sorokin, Andriy and Panariello, Aniello and Porrello, Angelo and Bonato, Jacopo and Cotogni, Marco and Sabetta, Luigi and Calderara, Simone and Cucchiara, Rita},
    booktitle={International Conference on Pattern Recognition},
    year={2024}
  }
  

• On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning (NeurIPS 2022) (original code)

  @inproceedings{bonicelli2022effectiveness,
    title={On the effectiveness of lipschitz-driven rehearsal in continual learning},
    author={Bonicelli, Lorenzo and Boschini, Matteo and Porrello, Angelo and Spampinato, Concetto and Calderara, Simone},
    booktitle={Advances in Neural Information Processing Systems},
    volume={35},
    pages={31886--31901},
    year={2022}
  }
  

• Continual semi-supervised learning through contrastive interpolation consistency (PRL 2022) (original code)

  @article{boschini2022continual,
    title={Continual semi-supervised learning through contrastive interpolation consistency},
    author={Boschini, Matteo and Buzzega, Pietro and Bonicelli, Lorenzo and Porrello, Angelo and Calderara, Simone},
    journal={Pattern Recognition Letters},
    volume={162},
    pages={9--14},
    year={2022},
    publisher={Elsevier}
  }
  

• Transfer without Forgetting (ECCV 2022) (original code)

  @inproceedings{boschini2022transfer,
    title={Transfer without forgetting},
    author={Boschini, Matteo and Bonicelli, Lorenzo and Porrello, Angelo and Bellitto, Giovanni and Pennisi, Matteo and Palazzo, Simone and Spampinato, Concetto and Calderara, Simone},
    booktitle={17th European Conference on Computer Vision},
    pages={692--709},
    year={2022},
    organization={Springer}
  }
  

• Effects of Auxiliary Knowledge on Continual Learning (ICPR 2022)

  @inproceedings{bellitto2022effects,
    title={Effects of auxiliary knowledge on continual learning},
    author={Bellitto, Giovanni and Pennisi, Matteo and Palazzo, Simone and Bonicelli, Lorenzo and Boschini, Matteo and Calderara, Simone},
    booktitle={26th International Conference on Pattern Recognition},
    pages={1357--1363},
    year={2022},
    organization={IEEE}
  }
  

• Class-Incremental Continual Learning into the eXtended DER-verse (TPAMI 2022)

  @article{boschini2022class,
    title={Class-Incremental Continual Learning into the eXtended DER-verse},
    author={Boschini, Matteo and Bonicelli, Lorenzo and Buzzega, Pietro and Porrello, Angelo and Calderara, Simone},
    journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
    year={2022},
    publisher={IEEE}
  }
  

• Rethinking Experience Replay: a Bag of Tricks for Continual Learning (ICPR 2020) (original code)

  @inproceedings{buzzega2021rethinking,
    title={Rethinking experience replay: a bag of tricks for continual learning},
    author={Buzzega, Pietro and Boschini, Matteo and Porrello, Angelo and Calderara, Simone},
    booktitle={25th International Conference on Pattern Recognition},
    pages={2180--2187},
    year={2021},
    organization={IEEE}
  }
  

• Dark Experience for General Continual Learning: a Strong, Simple Baseline (NeurIPS 2020)

  @inproceedings{buzzega2020dark,
    author={Buzzega, Pietro and Boschini, Matteo and Porrello, Angelo and Abati, Davide and Calderara, Simone},
    booktitle={Advances in Neural Information Processing Systems},
    editor={H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin},
    pages={15920--15930},
    publisher={Curran Associates, Inc.},
    title={Dark Experience for General Continual Learning: a Strong, Simple Baseline},
    volume={33},
    year={2020}
  }