| Avalanche: an end-to-end library for continual learning V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 205 | 2021 |
| Continual learning for recurrent neural networks: an empirical evaluation A Cossu, A Carta, V Lomonaco, D Bacciu Neural Networks 143, 607-627, 2021 | 105 | 2021 |
| Continual pre-training mitigates forgetting in language and vision A Cossu, A Carta, L Passaro, V Lomonaco, T Tuytelaars, D Bacciu Neural Networks 179, 106492, 2024 | 46 | 2024 |
| Distilled replay: Overcoming forgetting through synthetic samples A Rosasco, A Carta, A Cossu, V Lomonaco, D Bacciu International Workshop on Continual Semi-Supervised Learning, 104-117, 2021 | 39 | 2021 |
| Sample condensation in online continual learning M Sangermano, A Carta, A Cossu, D Bacciu 2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022 | 36 | 2022 |
| Continual learning with gated incremental memories for sequential data processing A Cossu, A Carta, D Bacciu 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 31 | 2020 |
| Is class-incremental enough for continual learning? A Cossu, G Graffieti, L Pellegrini, D Maltoni, D Bacciu, A Carta, ... Frontiers in Artificial Intelligence 5, 829842, 2022 | 26 | 2022 |
| Practical recommendations for replay-based continual learning methods G Merlin, V Lomonaco, A Cossu, A Carta, D Bacciu International Conference on Image Analysis and Processing, 548-559, 2022 | 18 | 2022 |
| Catastrophic forgetting in deep graph networks: an introductory benchmark for graph classification A Carta, A Cossu, F Errica, D Bacciu The Web Conference (WWW) Workshop on Graph Learning Benchmarks (GLB 2021), 2021 | 18 | 2021 |
| A Comprehensive Empirical Evaluation on Online Continual Learning A Soutif-Cormerais, A Carta, A Cossu, J Hurtado, V Lomonaco, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 17* | 2023 |
| Continual Learning: Applications and the Road Forward E Verwimp, S Ben-David, M Bethge, A Cossu, A Gepperth, TL Hayes, ... Transactions of Machine Learning Research (TMLR), 2024 | 16 | 2024 |
| Avalanche: A pytorch library for deep continual learning A Carta, L Pellegrini, A Cossu, H Hemati, V Lomonaco Journal of Machine Learning Research 24 (363), 1-6, 2023 | 16 | 2023 |
| Ex-model: Continual learning from a stream of trained models A Carta, A Cossu, V Lomonaco, D Bacciu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 14 | 2022 |
| Continual learning with echo state networks A Cossu, D Bacciu, A Carta, C Gallicchio, V Lomonaco European Symposium on Artificial Neural Networks (ESANN), 2021 | 13 | 2021 |
| Sustainable artificial intelligence through continual learning A Cossu, M Ziosi, V Lomonaco CAIP 2021: Proceedings of the 1st International Conference on AI for People …, 2021 | 8 | 2021 |
| Class-Incremental Learning with Repetition H Hemati, A Cossu, A Carta, J Hurtado, L Pellegrini, D Bacciu, ... 2nd Conference on Lifelong Learning Agents (COLLAs), 2023 | 7 | 2023 |
| Continual Learning for Human State Monitoring F Matteoni, A Cossu, C Gallicchio, V Lomonaco, D Bacciu European Symposium on Artificial Neural Networks (ESANN), 2022 | 6 | 2022 |
| Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark A Carta, A Cossu, F Errica, D Bacciu Frontiers in artificial intelligence 5, 824655, 2022 | 6 | 2022 |
| Projected latent distillation for data-agnostic consolidation in distributed continual learning A Carta, A Cossu, V Lomonaco, D Bacciu, J van de Weijer Neurocomputing 598, 127935, 2024 | 2 | 2024 |
| Random Oscillators Network for Time Series Processing A Ceni, A Cossu, MW Stölzle, J Liu, C Della Santina, D Bacciu, ... International Conference on Artificial Intelligence and Statistics, 4807-4815, 2024 | 2 | 2024 |
Davide BacciuDipartimento di Informatica, Università di PisaVerified email at di.unipi.it
