Giulia Denevi

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 13

Top Topics

Incremental Learning

Top Venues

Publications

Luigi Sabetta, Francesco Pelosin, Giulia Denevi, Alessandro Nicolosi
Incremental Automatic Image Annotation. Ital-IA (2023)
Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
Conditional Meta-Learning of Linear Representations. NeurIPS (2022)
Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
Conditional Meta-Learning of Linear Representations. CoRR (2021)
Giulia Denevi, Massimiliano Pontil, Dimitrios Stamos
Online Parameter-Free Learning of Multiple Low Variance Tasks. UAI (2020)
Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning. CoRR (2020)
Giulia Denevi, Dimitris Stamos, Massimiliano Pontil
Online Parameter-Free Learning of Multiple Low Variance Tasks. CoRR (2020)
Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning. NeurIPS (2020)
Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi, Massimiliano Pontil
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization. ICML (2019)
Giulia Denevi, Dimitris Stamos, Carlo Ciliberto, Massimiliano Pontil
Online-Within-Online Meta-Learning. NeurIPS (2019)
Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi, Massimiliano Pontil
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization. CoRR (2019)
Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
Incremental Learning-to-Learn with Statistical Guarantees. UAI (2018)
Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
Learning To Learn Around A Common Mean. NeurIPS (2018)
Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
Incremental Learning-to-Learn with Statistical Guarantees. CoRR (2018)