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Titolo Data di pubblicazione Autore(i) File
Deep Reinforcement Learning for Network Slice Placement and the DeepNetSlice Toolkit 1-gen-2024 Pasquali, Alex; Lomonaco, Vincenzo; Bacciu, Davide; Paganelli, Federica
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
AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence 1-gen-2023 Lomonaco, Vincenzo; Caro, Valerio De; Gallicchio, Claudio; Carta, Antonio; Sardianos, Christos; Varlamis, Iraklis; Tserpes, Konstantinos; Coppola, Massimo; Marmpena, Mina; Politi, Sevasti; Schoitsch, Erwin; 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
Memory Population in Continual Learning via Outlier Elimination 1-gen-2023 Hurtado, Julio; Raymond-Sáez, Alain; Araujo, Vladimir; Lomonaco, Vincenzo; Soto, Alvaro; Bacciu, Davide
Partial Hypernetworks for Continual Learning 1-gen-2023 Hemati, Hamed; Lomonaco, Vincenzo; Bacciu, Davide; Borth, Damian
Prediction of Driver’s Stress Affection in Simulated Autonomous Driving Scenarios 1-gen-2023 De Caro, Valerio; Danzinger, Herbert; Gallicchio, Claudio; Könczöl, Clemens; Lomonaco, Vincenzo; Marmpena, Mina; Politi, Sevasti; Veledar, Omar; Bacciu, Davide
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving 1-gen-2022 De Caro, V.; Bano, S.; Machumilane, A.; Gotta, A.; Cassara, P.; Carta, A.; Semola, R.; Sardianos, C.; Chronis, C.; Varlamis, I.; Tserpes, K.; Lomonaco, V.; Gallicchio, C.; Bacciu, D.
Avalanche RL: A Continual Reinforcement Learning Library 1-gen-2022 Lucchesi, N.; Carta, A.; Lomonaco, V.; Bacciu, D.
Continual Learning for Human State Monitoring 1-gen-2022 Matteoni, Federico; Cossu, Andrea; Gallicchio, Claudio; Lomonaco, Vincenzo; Bacciu, Davide
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions 1-gen-2022 Lomonaco, V.; Pellegrini, L.; Rodriguez, P.; Caccia, M.; She, Q.; Chen, Y.; Jodelet, Q.; Wang, R.; Mai, Z.; Vazquez, D.; Parisi, G. I.; Churamani, N.; Pickett, M.; Laradji, I.; Maltoni, D.
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.
Towards lifelong object recognition: A dataset and benchmark 1-gen-2022 Lan, C.; Feng, F.; Liu, Q.; She, Q.; Yang, Q.; Hao, X.; Mashkin, I.; Kei, K. S.; Qiang, D.; Lomonaco, V.; Shi, X.; Wang, Z.; Guo, Y.; Zhang, Y.; Qiao, F.; Chan, R. H. M.
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 at the Edge: Real-time training on smartphone devices 1-gen-2021 Pellegrini, L.; Lomonaco, V.; Graffieti, G.; Maltoni, D.