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Leonard Berrada
Leonard Berrada
Research Scientist, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Smooth Loss Functions for Deep Top-k Classification
L Berrada, A Zisserman, MP Kumar
International Conference on Learning Representations, 2018
602018
Deep Frank-Wolfe For Neural Network Optimization
L Berrada, A Zisserman, MP Kumar
International Conference on Learning Representations, 2019
292019
Training neural networks for and by interpolation
L Berrada, A Zisserman, MP Kumar
International Conference on Machine Learning, 2020
252020
Trusting SVM for piecewise linear CNNs
L Berrada, A Zisserman, MP Kumar
International Conference on Learning Representations, 2017
162017
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
L Berrada, S Dathathri, K Dvijotham, R Stanforth, RR Bunel, J Uesato, ...
Advances in Neural Information Processing Systems 34, 2021
3*2021
Unlocking High-Accuracy Differentially Private Image Classification through Scale
S De, L Berrada, J Hayes, SL Smith, B Balle
arXiv preprint arXiv:2204.13650, 2022
12022
Comment on Stochastic Polyak Step-Size: Performance of ALI-G
L Berrada, A Zisserman, MP Kumar
arXiv preprint arXiv:2105.10011, 2021
12021
A Stochastic Bundle Method for Interpolating Networks
A Paren, L Berrada, RPK Poudel, MP Kumar
Journal of Machine Learning Research 23, 1-57, 2022
2022
Leveraging structure for optimization in deep learning
L Berrada
University of Oxford, 2019
2019
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Articles 1–9