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CARTA, ANTONIO Statistiche

CARTA, ANTONIO  

DIPARTIMENTO DI INFORMATICA  

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Titolo Data di pubblicazione Autore(i) File
CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning 1-gen-2024 Castellana, Daniele; Carta, Antonio; Bacciu, Davide
Continual pre-training mitigates forgetting in language and vision 1-gen-2024 Cossu, Andrea; Carta, Antonio; Passaro, Lucia; Lomonaco, Vincenzo; Tuytelaars, Tinne; Bacciu, Davide
GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning 1-gen-2024 Urettini, Edoardo; Atzeni, Daniele; Ramjattan, Reshawn J.; Carta, Antonio
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning 1-gen-2024 Carta, Antonio; Cossu, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; van de Weijer, Joost
Updating knowledge in Large Language Models: an Empirical Evaluation 1-gen-2024 Marinelli Alberto, Roberto; Carta, Antonio; Passaro, Lucia
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
A Simple Recipe to Meta-Learn Forward and Backward Transfer 1-gen-2023 Cetin, Edoardo; Carta, Antonio; Celiktutan, Oya
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
Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding 1-gen-2023 Carta, A.; Carfi, G.; De Caro, V.; Gallicchio, C.
Improving Online Continual Learning Performance and Stability with Temporal Ensembles 1-gen-2023 Soutif-Cormerais, Albin; Carta, Antonio; van de Weijer, Joost
Safety and Robustness for Deep Neural Networks: An Automotive Use Case 1-gen-2023 Bacciu, Davide; Carta, Antonio; Gallicchio, Claudio; Schmittner, Christoph
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.
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark 1-gen-2022 Carta, Antonio; Cossu, Andrea; Errica, Federico; Bacciu, Davide
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.