Sfoglia per Autore
Efficient continual learning in neural networks with embedding regularization
2020 Pomponi, J.; Scardapane, S.; Lomonaco, V.; Uncini, A.
DeepRICH: learning deeply Cherenkov detectors
2020 Fanelli, Cristiano; Pomponi, Jary
Structured ensembles. An approach to reduce the memory footprint of ensemble methods
2021 Pomponi, J.; Scardapane, S.; Uncini, A.
Bayesian neural networks with maximum mean discrepancy regularization
2021 Pomponi, Jary; Scardapane, Simone; Uncini, Aurelio
Avalanche. An end-to-end library for continual learning
2021 Lomonaco, V.; Pellegrini, L.; Cossu, A.; Carta, A.; Graffieti, G.; Hayes, T. L.; De Lange, M.; Masana, M.; Pomponi, J.; Van De Ven, G. M.; Mundt, M.; She, Q.; Cooper, K.; Forest, J.; Belouadah, E.; Calderara, S.; Parisi, G. I.; Cuzzolin, F.; Tolias, A. S.; Scardapane, S.; Antiga, L.; Ahmad, S.; Popescu, A.; Kanan, C.; Van De Weijer, J.; Tuytelaars, T.; Bacciu, D.; Maltoni, D.
Pixle: a fast and effective black-box attack based on rearranging pixels
2022 Pomponi, Jary; Scardapane, Simone; Uncini, Aurelio
A probabilistic re-intepretation of confidence scores in multi-exit models
2022 Pomponi, J.; Scardapane, S.; Uncini, A.
Continual learning with invertible generative models
2023 Pomponi, Jary; Scardapane, Simone; Uncini, Aurelio
Rearranging Pixels is a Powerful Black-Box Attack for RGB and Infrared Deep Learning Models
2023 Pomponi, Jary; Dantoni, Daniele; Alessandro, Nicolosi; Scardapane, Simone
Conditional computation in neural networks: Principles and research trends
2024 Scardapane, Simone; Baiocchi, Alessandro; Devoto, Alessio; Marsocci, Valerio; Minervini, Pasquale; Pomponi, Jary
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Efficient continual learning in neural networks with embedding regularization | 2020 | Pomponi, J.; Scardapane, S.; Lomonaco, V.; Uncini, A. | |
| DeepRICH: learning deeply Cherenkov detectors | 2020 | Fanelli, Cristiano; Pomponi, Jary | |
| Structured ensembles. An approach to reduce the memory footprint of ensemble methods | 2021 | Pomponi, J.; Scardapane, S.; Uncini, A. | |
| Bayesian neural networks with maximum mean discrepancy regularization | 2021 | Pomponi, Jary; Scardapane, Simone; Uncini, Aurelio | |
| Avalanche. An end-to-end library for continual learning | 2021 | Lomonaco, V.; Pellegrini, L.; Cossu, A.; Carta, A.; Graffieti, G.; Hayes, T. L.; De Lange, M.; Masana, M.; Pomponi, J.; Van De Ven, G. M.; Mundt, M.; She, Q.; Cooper, K.; Forest, J.; Belouadah, E.; Calderara, S.; Parisi, G. I.; Cuzzolin, F.; Tolias, A. S.; Scardapane, S.; Antiga, L.; Ahmad, S.; Popescu, A.; Kanan, C.; Van De Weijer, J.; Tuytelaars, T.; Bacciu, D.; Maltoni, D. | |
| Pixle: a fast and effective black-box attack based on rearranging pixels | 2022 | Pomponi, Jary; Scardapane, Simone; Uncini, Aurelio | |
| A probabilistic re-intepretation of confidence scores in multi-exit models | 2022 | Pomponi, J.; Scardapane, S.; Uncini, A. | |
| Continual learning with invertible generative models | 2023 | Pomponi, Jary; Scardapane, Simone; Uncini, Aurelio | |
| Rearranging Pixels is a Powerful Black-Box Attack for RGB and Infrared Deep Learning Models | 2023 | Pomponi, Jary; Dantoni, Daniele; Alessandro, Nicolosi; Scardapane, Simone | |
| Conditional computation in neural networks: Principles and research trends | 2024 | Scardapane, Simone; Baiocchi, Alessandro; Devoto, Alessio; Marsocci, Valerio; Minervini, Pasquale; Pomponi, Jary |
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