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2024
[j8]
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Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu:
Drifting explanations in continual learning. Neurocomputing 597: 127960 (2024)
[j7]
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Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer:
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. Neurocomputing 598: 127935 (2024)
[j6]
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Andrea Cossu, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Tinne Tuytelaars, Davide Bacciu:
Continual pre-training mitigates forgetting in language and vision. Neural Networks 179: 106492 (2024)
[j5]
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Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven:
Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 2024 (2024)
[c13]
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Andrea Ceni, Andrea Cossu, Maximilian W. Stölzle, Jingyue Liu, Cosimo Della Santina, Davide Bacciu, Claudio Gallicchio:
Random Oscillators Network for Time Series Processing. AISTATS 2024: 4807-4815
[c12]
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Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco:
Calibration of Continual Learning Models. CVPR Workshops 2024: 4160-4169
[i22]
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  - journals/corr/abs-2404-07817
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Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco:
Calibration of Continual Learning Models. CoRR abs/2404.07817 (2024)
[i21]
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Alessandro Trenta, Davide Bacciu, Andrea Cossu, Pietro Ferrero:
MultiSTOP: Solving Functional Equations with Reinforcement Learning. CoRR abs/2404.14909 (2024)
2023
[j4]
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Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco:
Avalanche: A PyTorch Library for Deep Continual Learning. J. Mach. Learn. Res. 24: 363:1-363:6 (2023)
[c11]
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Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
Class-Incremental Learning with Repetition. CoLLAs 2023: 437-455
[c10]
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Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu:
A Protocol for Continual Explanation of SHAP. ESANN 2023
[c9]
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Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati:
A Comprehensive Empirical Evaluation on Online Continual Learning. ICCV (Workshops) 2023: 3510-3520
[i20]
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  - journals/corr/abs-2301-11396
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Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
Class-Incremental Learning with Repetition. CoRR abs/2301.11396 (2023)
[i19]
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  - journals/corr/abs-2302-01766
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Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco:
Avalanche: A PyTorch Library for Deep Continual Learning. CoRR abs/2302.01766 (2023)
[i18]
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  - journals/corr/abs-2303-15888
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Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer:
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR abs/2303.15888 (2023)
[i17]
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  - journals/corr/abs-2306-07218
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Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu:
A Protocol for Continual Explanation of SHAP. CoRR abs/2306.07218 (2023)
[i16]
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  - journals/corr/abs-2308-10328
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Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati:
A Comprehensive Empirical Evaluation on Online Continual Learning. CoRR abs/2308.10328 (2023)
[i15]
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  - journals/corr/abs-2311-11908
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Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven:
Continual Learning: Applications and the Road Forward. CoRR abs/2311.11908 (2023)
[i14]
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  - journals/dagstuhl-reports/TuytelaarsLLVC23
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Tinne Tuytelaars, Bing Liu, Vincenzo Lomonaco, Gido van de Ven, Andrea Cossu:
Deep Continual Learning (Dagstuhl Seminar 23122). Dagstuhl Reports 13(3): 74-91 (2023)
2022
[j3]
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Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu:
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark. Frontiers Artif. Intell. 5: 824655 (2022)
[j2]
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Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco:
Is Class-Incremental Enough for Continual Learning? Frontiers Artif. Intell. 5: 829842 (2022)
[c8]
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Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Ex-Model: Continual Learning from a Stream of Trained Models. CVPR Workshops 2022: 3789-3798
[c7]
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Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu:
Continual Learning for Human State Monitoring. ESANN 2022
[c6]
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  - conf/iciap/MerlinLCCB22
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Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu:
Practical Recommendations for Replay-Based Continual Learning Methods. ICIAP Workshops 2022: 548-559
[c5]
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Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu:
Sample Condensation in Online Continual Learning. IJCNN 2022: 1-8
[i13]
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  - journals/corr/abs-2203-10317
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Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu:
Practical Recommendations for Replay-based Continual Learning Methods. CoRR abs/2203.10317 (2022)
[i12]
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  - journals/corr/abs-2205-09357
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Andrea Cossu, Tinne Tuytelaars, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Davide Bacciu:
Continual Pre-Training Mitigates Forgetting in Language and Vision. CoRR abs/2205.09357 (2022)
[i11]
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  - journals/corr/abs-2206-11849
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Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu:
Sample Condensation in Online Continual Learning. CoRR abs/2206.11849 (2022)
[i10]
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Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu:
Continual Learning for Human State Monitoring. CoRR abs/2207.00010 (2022)
2021
[j1]
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Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu:
Continual learning for recurrent neural networks: An empirical evaluation. Neural Networks 143: 607-627 (2021)
[c4]
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  - conf/cvpr/LomonacoPCCGHLM21
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Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610
[c3]
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Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco:
Continual Learning with Echo State Networks. ESANN 2021
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Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Distilled Replay: Overcoming Forgetting Through Synthetic Samples. CSSL 2021: 104-117
[i9]
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  - journals/corr/abs-2103-07492
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Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu:
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation. CoRR abs/2103.07492 (2021)
[i8]
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Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu:
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification. CoRR abs/2103.11750 (2021)
[i7]
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Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Distilled Replay: Overcoming Forgetting through Synthetic Samples. CoRR abs/2103.15851 (2021)
[i6]
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Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021)
[i5]
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Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco:
Continual Learning with Echo State Networks. CoRR abs/2105.07674 (2021)
[i4]
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  - journals/corr/abs-2111-09437
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Andrea Cossu, Marta Ziosi, Vincenzo Lomonaco:
Sustainable Artificial Intelligence through Continual Learning. CoRR abs/2111.09437 (2021)
[i3]
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  - journals/corr/abs-2112-02925
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Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco:
Is Class-Incremental Enough for Continual Learning? CoRR abs/2112.02925 (2021)
[i2]
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Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Ex-Model: Continual Learning from a Stream of Trained Models. CoRR abs/2112.06511 (2021)
2020
[c1]
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Andrea Cossu, Antonio Carta, Davide Bacciu:
Continual Learning with Gated Incremental Memories for sequential data processing. IJCNN 2020: 1-8
[i1]
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  - journals/corr/abs-2004-04077
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Andrea Cossu, Antonio Carta, Davide Bacciu:
Continual Learning with Gated Incremental Memories for sequential data processing. CoRR abs/2004.04077 (2020)

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