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COSSU, ANDREA Statistiche

COSSU, ANDREA  

DIPARTIMENTO DI INFORMATICA  

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Titolo Data di pubblicazione Autore(i) File
Continual pre-training mitigates forgetting in language and vision 1-gen-2024 Cossu, Andrea; Carta, Antonio; Passaro, Lucia; Lomonaco, Vincenzo; Tuytelaars, Tinne; Bacciu, Davide
Drifting explanations in continual learning 1-gen-2024 Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning 1-gen-2024 Carta, Antonio; Cossu, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; van de Weijer, Joost
Random Oscillators Network for Time Series Processing 1-gen-2024 Ceni, Andrea; Cossu, Andrea; Stolzle, Maximilian; Liu, Jingyue; DELLA SANTINA, Cosimo; Bacciu, Davide; Gallicchio, Claudio
A Comprehensive Empirical Evaluation on Online Continual Learning 1-gen-2023 Soutif-Cormerais, Albin; Carta, Antonio; Cossu, Andrea; Hurtado, Julio; Lomonaco, Vincenzo; Van de Weijer, Joost; Hemati, Hamed
A Protocol for Continual Explanation of SHAP 1-gen-2023 Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide
Avalanche: A PyTorch Library for Deep Continual Learning 1-gen-2023 Carta, Antonio; Pellegrini, Lorenzo; Cossu, Andrea; Hemati, Hamed; Lomonaco, Vincenzo
Class-Incremental Learning with Repetition 1-gen-2023 Hemati, Hamed; Cossu, Andrea; Carta, Antonio; Hurtado, Julio; Pellegrini, Lorenzo; Bacciu, Davide; Lomonaco, Vincenzo; Damian, Borth
Deep Continual Learning (Dagstuhl Seminar 23122) 1-gen-2023 Tuytelaars, Tinne; Liu, Bing; Lomonaco, Vincenzo; van de Ven, Gido; Cossu, Andrea
Towards Real-World Data Streams for Deep Continual Learning 1-gen-2023 Cossu, Andrea
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark 1-gen-2022 Carta, Antonio; Cossu, Andrea; Errica, Federico; Bacciu, Davide
Continual Learning for Human State Monitoring 1-gen-2022 Matteoni, Federico; Cossu, Andrea; Gallicchio, Claudio; Lomonaco, Vincenzo; Bacciu, Davide
Distilled Replay: Overcoming Forgetting Through Synthetic Samples 1-gen-2022 Rosasco, A.; Carta, A.; Cossu, A.; Lomonaco, V.; Bacciu, D.
Ex-Model: Continual Learning from a Stream of Trained Models 1-gen-2022 Carta, A.; Cossu, A.; Lomonaco, V.; Bacciu, D.
Is Class-Incremental Enough for Continual Learning? 1-gen-2022 Cossu, Andrea; Graffieti, Gabriele; Pellegrini, Lorenzo; Maltoni, Davide; Bacciu, Davide; Carta, Antonio; Lomonaco, Vincenzo
Practical Recommendations for Replay-Based Continual Learning Methods 1-gen-2022 Merlin, G.; Lomonaco, V.; Cossu, A.; Carta, A.; Bacciu, D.
Sample Condensation in Online Continual Learning 1-gen-2022 Sangermano, M; Carta, A; Cossu, A; Bacciu, D
Avalanche: An end-to-end library for continual learning 1-gen-2021 Lomonaco, V.; Pellegrini, L.; Cossu, A.; Carta, A.; Graffieti, G.; Hayes, T. L.; De Lange, M.; Masana, M.; Pomponi, J.; Van De Ven, G. M.; Mundt, M.; She, Q.; Cooper, K.; Forest, J.; Belouadah, E.; Calderara, S.; Parisi, G. I.; Cuzzolin, F.; Tolias, A. S.; Scardapane, S.; Antiga, L.; Ahmad, S.; Popescu, A.; Kanan, C.; Van De Weijer, J.; Tuytelaars, T.; Bacciu, D.; Maltoni, D.
Continual learning for recurrent neural networks: An empirical evaluation 1-gen-2021 Cossu, A.; Carta, A.; Lomonaco, V.; Bacciu, D.
Continual Learning with Echo State Networks 1-gen-2021 Cossu, Andrea; Bacciu, Davide; Carta, Antonio; Gallicchio, Claudio; Lomonaco, Vincenzo