Antonio Carta
Citata da
Citata da
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
Continual learning for recurrent neural networks: an empirical evaluation
A Cossu, A Carta, V Lomonaco, D Bacciu
Neural Networks 143, 607-627, 2021
An experience in using machine learning for short-term predictions in smart transportation systems
D Bacciu, A Carta, S Gnesi, L Semini
Journal of Logical and Algebraic Methods in Programming 87, 52-66, 2017
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
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
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
Teaching-trustworthy autonomous cyber-physical applications through human-centred intelligence
D Bacciu, S Akarmazyan, E Armengaud, M Bacco, G Bravos, C Calandra, ...
2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS …, 2021
Continual pre-training mitigates forgetting in language and vision
A Cossu, T Tuytelaars, A Carta, L Passaro, V Lomonaco, D Bacciu
arXiv preprint arXiv:2205.09357, 2022
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
Catastrophic forgetting in deep graph networks: an introductory benchmark for graph classification
A Carta, A Cossu, F Errica, D Bacciu
arXiv preprint arXiv:2103.11750, 2021
Linear memory networks
D Bacciu, A Carta, A Sperduti
Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019
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
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving
V De Caro, S Bano, A Machumilane, A Gotta, P Cassarà, A Carta, ...
2022 IEEE International Conference on Pervasive Computing and Communications …, 2022
Continual learning with echo state networks
A Cossu, D Bacciu, A Carta, C Gallicchio, V Lomonaco
arXiv preprint arXiv:2105.07674, 2021
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
Incremental training of a recurrent neural network exploiting a multi-scale dynamic memory
A Carta, A Sperduti, D Bacciu
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
Learning style-aware symbolic music representations by adversarial autoencoders
A Valenti, A Carta, D Bacciu
arXiv preprint arXiv:2001.05494, 2020
Encoding-based memory for recurrent neural networks
A Carta, A Sperduti, D Bacciu
Neurocomputing 456, 407-420, 2021
Convolutional Neural Network for Track Seed Filtering at the CMS High-Level Trigger
A Di Florio, F Pantaleo, A Carta, CMS collaboration
Journal of Physics: Conference Series 1085 (4), 042040, 2018
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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