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Modular Representations for Weak Disentanglement


Sep 12, 2022
Andrea Valenti, Davide Bacciu

* Accepted at ESANN2022 

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Graph Pooling with Maximum-Weight $k$-Independent Sets


Aug 06, 2022
Davide Bacciu, Alessio Conte, Francesco Landolfi

* 11 pages, 3 figures, under review 

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It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning


Jul 04, 2022
Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Davide Bacciu


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Studying the impact of magnitude pruning on contrastive learning methods


Jul 01, 2022
Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh


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Continual Learning for Human State Monitoring


Jun 29, 2022
Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu

* 6 pages, 4 figures, 2 tables, ESANN 

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Sample Condensation in Online Continual Learning


Jun 23, 2022
Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu

* Accepted as a conference paper at 2022 International Joint Conference on Neural Networks (IJCNN 2022). Part of 2022 IEEE World Congress on Computational Intelligence (IEEE WCCI 2022) 

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Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models


Jun 14, 2022
Rudy Semola, Vincenzo Lomonaco, Davide Bacciu


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Leveraging Relational Information for Learning Weakly Disentangled Representations


May 20, 2022
Andrea Valenti, Davide Bacciu

* Accepted at WCCI2022 

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Continual Pre-Training Mitigates Forgetting in Language and Vision


May 19, 2022
Andrea Cossu, Tinne Tuytelaars, Antonio Carta, Lucia Passaro, Vincenzo Lomonaco, Davide Bacciu

* under review 

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Deep Features for CBIR with Scarce Data using Hebbian Learning


May 18, 2022
Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato

* 6 Pages, 1 Figure, 2 Tables, Submitted at CBMI 2022 

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