Advances and Open Problems in Federated Learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and Trends® in Machine Learning 14 (1-2), 2021 | 5679 | 2021 |
A Survey on Metric Learning for Feature Vectors and Structured Data A Bellet, A Habrard, M Sebban arXiv preprint arXiv:1306.6709, 2013 | 852 | 2013 |
Decentralized Collaborative Learning of Personalized Models over Networks P Vanhaesebrouck, A Bellet, M Tommasi AISTATS 2017, 2017 | 270 | 2017 |
Metric Learning A Bellet, A Habrard, M Sebban Morgan & Claypool Publishers, 2015 | 268* | 2015 |
Federated Multi-Task Learning under a Mixture of Distributions O Marfoq, G Neglia, A Bellet, L Kameni, R Vidal NeurIPS 2021, 2021 | 225 | 2021 |
Personalized and Private Peer-to-Peer Machine Learning A Bellet, R Guerraoui, M Taziki, M Tommasi AISTATS 2018, 2018 | 206* | 2018 |
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions I Colin, A Bellet, J Salmon, S Clémençon ICML 2016, 2016 | 113 | 2016 |
Robustness and generalization for metric learning A Bellet, A Habrard Neurocomputing 151, 259-267, 2015 | 104 | 2015 |
Sparse Compositional Metric Learning Y Shi, A Bellet, F Sha AAAI 2014, 2078-2084, 2014 | 100 | 2014 |
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? BML Srivastava, A Bellet, M Tommasi, E Vincent Interspeech 2019, 2019 | 89 | 2019 |
Evaluating voice conversion-based privacy protection against informed attackers BML Srivastava, N Vauquier, M Sahidullah, A Bellet, M Tommasi, ... ICASSP 2020, 2020 | 87 | 2020 |
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets Z Lu, A May, K Liu, AB Garakani, D Guo, A Bellet, L Fan, M Collins, ... arXiv preprint arXiv:1411.4000, 2014 | 83* | 2014 |
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs V Zantedeschi, A Bellet, M Tommasi AISTATS 2020, 2020 | 81 | 2020 |
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings JO Terrail, SS Ayed, E Cyffers, F Grimberg, C He, R Loeb, P Mangold, ... NeurIPS 2022, 2022 | 75* | 2022 |
Similarity Learning for Provably Accurate Sparse Linear Classification A Bellet, A Habrard, M Sebban ICML 2012, 1871-1878, 2012 | 75 | 2012 |
Differentially Private Federated Learning on Heterogeneous Data M Noble, A Bellet, A Dieuleveut AISTATS 2022, 2022 | 71 | 2022 |
metric-learn: Metric Learning Algorithms in Python W de Vazelhes, CJ Carey, Y Tang, N Vauquier, A Bellet Journal of Machine Learning Research 21 (138), 1-6, 2020 | 70 | 2020 |
Design choices for x-vector based speaker anonymization BML Srivastava, N Tomashenko, X Wang, E Vincent, J Yamagishi, ... INTERSPEECH 2020, 2020 | 60 | 2020 |
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics S Clémençon, I Colin, A Bellet Journal of Machine Learning Research 17 (76), 1-36, 2016 | 60 | 2016 |
Good edit similarity learning by loss minimization A Bellet, A Habrard, M Sebban Machine learning 89 (1-2), 5-35, 2012 | 60 | 2012 |