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Ex-Model: Continual Learning from a Stream of Trained Models


Dec 13, 2021
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu


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Is Class-Incremental Enough for Continual Learning?


Dec 06, 2021
Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco

* Under review 

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TEACHING -- Trustworthy autonomous cyber-physical applications through human-centred intelligence


Jul 14, 2021
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassara, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela Degennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabò, Jakob Valtl, Iraklis Varlamis, Omar Veledar


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Continual Learning with Echo State Networks


May 17, 2021
Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco

* In review at ESANN 2021 

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Avalanche: an End-to-End Library for Continual Learning


Apr 01, 2021
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

* Official Website: https://avalanche.continualai.org 

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Distilled Replay: Overcoming Forgetting through Synthetic Samples


Mar 29, 2021
Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu


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Continual Learning for Recurrent Neural Networks: an Empirical Evaluation


Mar 24, 2021
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu

* In submission 

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Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification


Mar 22, 2021
Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu

* Accepted at the 2021 Web Conference Workshop on Graph Learning Benchmarks (GLB 2021). Code available at https://github.com/diningphil/continual_learning_for_graphs 

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Continual Learning for Recurrent Neural Networks: a Review and Empirical Evaluation


Mar 12, 2021
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu

* In submission 

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Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization


Nov 05, 2020
Antonio Carta, Alessandro Sperduti, Davide Bacciu

* Accepted at NeurIPS 2020 workshop "Beyond Backpropagation: Novel Ideas for Training Neural Architectures" 

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Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory


Jun 29, 2020
Antonio Carta, Alessandro Sperduti, Davide Bacciu

* accepted @ ECML 2020. arXiv admin note: substantial text overlap with arXiv:2001.11771 

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Continual Learning with Gated Incremental Memories for sequential data processing


Apr 08, 2020
Andrea Cossu, Antonio Carta, Davide Bacciu

* Accepted as a conference paper at 2020 International Joint Conference on Neural Networks (IJCNN 2020). Part of 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) 

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Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders


Feb 20, 2020
Andrea Valenti, Antonio Carta, Davide Bacciu

* Accepted for publication at the 24th European Conference on Artificial Intelligence (ECAI2020) 

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Encoding-based Memory Modules for Recurrent Neural Networks


Jan 31, 2020
Antonio Carta, Alessandro Sperduti, Davide Bacciu

* preprint submitted at Elsevier Neural Networks 

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Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders


Jan 15, 2020
Andrea Valenti, Antonio Carta, Davide Bacciu

* Accepted for publication at the 24th European Conference on Artificial Intelligence 

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Linear Memory Networks


Nov 08, 2018
Davide Bacciu, Antonio Carta, Alessandro Sperduti


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