AImageLab publications export - 18 publications; search=#continual-learning

Millunzi, M. (2026). Apprendimento Continuo in Condizioni Rumorose e con Composizionalità. https://iris.unimore.it/handle/11380/1402948

Lumetti, L. (2026). Scalare l’Intelligenza Artificiale per l’Analisi di Immagini Orali e Dentali. https://iris.unimore.it/handle/11380/1402288

Menabue, M. (2026). Tecniche avanzate di Intelligenza Artificiale per l’apprendimento continuo e robusto su dati strutturati. https://iris.unimore.it/handle/11380/1402270

Capitani, G., Bonicelli, L., Porrello, A., Bolelli, F., Calderara, S., & Ficarra, E. (2025). Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/WACV61041.2025.00251

Menabue, M., Frascaroli, E., Boschini, M., Sangineto, E., Bonicelli, L., Porrello, A., & Calderara, S. (2025). Semantic Residual Prompts for Continual Learning. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-031-73030-6_1

Menabue, M., Frascaroli, E., Boschini, M., Bonicelli, L., Porrello, A., & Calderara, S. (2025). An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning. Conference on Machine Learning Optimization and Data Science-LOD 2024 Castiglione della. https://doi.org/10.1007/978-3-031-82481-4_15

Maharjan, R. S., Bonicelli, L., Romeo, M., Calderara, S., Cangelosi, A., & Cucchiara, R. (2025). Continual Facial Features Transfer for Facial Expression Recognition. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING. https://doi.org/10.1109/TAFFC.2025.3561139

Vorabbi, L., Carraggi, A., Maltoni, D., Borghi, G., & Santi, S. (2025). Towards on-device continual learning with Binary Neural Networks in industrial scenarios. IMAGE AND VISION COMPUTING. https://doi.org/10.1016/j.imavis.2025.105524

Frascaroli, E., Benaglia, R., Boschini, M., Moschella, L., Fiorini, C., Rodolà, E., & Calderara, S. (2024). Latent spectral regularization for continual learning. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/j.patrec.2024.06.020

Vorabbi, L., Maltoni, D., Borghi, G., & Santi, S. (2024). Enabling On-Device Continual Learning with Binary Neural Networks and Latent Replay. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP). https://doi.org/10.5220/0012269000003660

Boschini, M., Bonicelli, L., Buzzega, P., Porrello, A., & Calderara, S. (2023). Class-Incremental Continual Learning into the eXtended DER-verse. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2022.3206549

Pellegrini, L., Borghi, G., Franco, A., & Maltoni, D. (2023). Detecting Morphing Attacks via Continual Incremental Training. IEEE International Joint Conference on Biometrics (IJCB). https://doi.org/10.1109/IJCB57857.2023.10449306

Marconato, E., Bontempo, G., Ficarra, E., Calderara, S., Passerini, A., & Teso, S. (2023). Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. International Conference on Machine Learning (ICML). https://iris.unimore.it/handle/11380/1342050

Millunzi, M., Bonicelli, L., Zurli, A., Salman, A., Credi, J., & Calderara, S. (2023). Novel continual learning techniques on noisy label datasets. Italia Intelligenza Artificiale - Thematic Workshops (Ital-IA). https://iris.unimore.it/handle/11380/1383989

Boschini, M., Buzzega, P., Bonicelli, L., Porrello, A., & Calderara, S. (2022). Continual semi-supervised learning through contrastive interpolation consistency. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/j.patrec.2022.08.006

Porrello, A. (2022). Sfruttare e Trasferire conoscenza a priori nelle Architetture di Deep Learning. https://iris.unimore.it/handle/11380/1271186

Marconato, E., Bontempo, G., Teso, S., Ficarra, E., Calderara, S., & Passerini, A. (2022). Catastrophic Forgetting in Continual Concept Bottleneck Models. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-13324-4_46

Fini, E., Lathuilière, S., Sangineto, E., Nabi, M., & Ricci, E. (2020). Online Continual Learning under Extreme Memory Constraints. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-030-58604-1_43