Giorgio Patrini

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach

Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon et al. · 2017 · 1.4K citations

Computing, Computer Science, Computer Vision +16

Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Stephen Hardy, Wilko Henecka, Hamish Ivey-Law et al. · arXiv (Cornell University) · 2017 · 430 citations · Full text

Computing, Computer Science, Cryptography +15

Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach

Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon et al. · arXiv (Cornell University) · 2016 · 114 citations · Full text

Computing, Computer Science, Computer Vision +16

Entity Resolution and Federated Learning get a Federated Resolution

Richard Nock, Stephen Hardy, Wilko Henecka et al. · arXiv (Cornell University) · 2018 · 75 citations · Full text

Computing, Computer Science, Data Mining +6

Loss factorization, weakly supervised learning and label noise robustness

Giorgio Patrini, Frank Nielsen, Richard Nock et al. · arXiv (Cornell University) · 2016 · 42 citations · Full text

Computing, Computer Science, Machine Learning +14