Lomonaco, Vincenzo

16 publications

TMLR 2026 \textsc{PGO-BEN}: Proxy-Guided Orthogonalization and Beta Ensembling for Few-Shot Domain-Incremental Learning Samrat Mukherjee, Thivyanth Venkateswaran, Eric Nuertey Coleman, Luigi Quarantiello, Julio Hurtado, Vincenzo Lomonaco, Gemma Roig, Subhasis Chaudhuri, Biplab Banerjee

NeurIPSW 2024 Adaptive LoRA Merging for Efficient Domain Incremental Learning Eric Nuertey Coleman, Luigi Quarantiello, Julio Hurtado, Vincenzo Lomonaco

NeurIPSW 2024 Adaptive LoRA Merging for Efficient Domain Incremental Learning Luigi Quarantiello, Eric Nuertey Coleman, Julio Hurtado, Vincenzo Lomonaco

CVPRW 2024 Calibration of Continual Learning Models Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco

TMLR 2024 Continual Learning: Applications and the Road Forward 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

ICCVW 2023 A Comprehensive Empirical Evaluation on Online Continual Learning Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati

MLOSS 2023 Avalanche: A PyTorch Library for Deep Continual Learning Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco

CoLLAs 2023 Class-Incremental Learning with Repetition Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth

ICCVW 2023 Memory Population in Continual Learning via Outlier Elimination Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Alvaro Soto, Davide Bacciu

CoLLAs 2023 Partial Hypernetworks for Continual Learning Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth

ICMLW 2023 Studying Generalization on Memory-Based Methods in Continual Learning Felipe del Rio, Julio Hurtado, Cristian Buc Calderon, Alvaro Soto, Vincenzo Lomonaco

CVPRW 2022 Ex-Model: Continual Learning from a Stream of Trained Models Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu

CVPRW 2021 Avalanche: An End-to-End Library for Continual Learning 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

CVPRW 2020 Continual Reinforcement Learning in 3D Non-Stationary Environments Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni

CVPRW 2020 Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini

CoRL 2017 CORe50: A New Dataset and Benchmark for Continuous Object Recognition Vincenzo Lomonaco, Davide Maltoni