| Structured prediction with partial labelling through the infimum loss V Cabannnes, A Rudi, F Bach International Conference on Machine Learning (ICML), 1230-1239, 2020 | 45 | 2020 |
| The SSL Interplay: Augmentations, Inductive Bias, and Generalization V Cabannes, BT Kiani, R Balestriero, Y LeCun, A Bietti International Conference on Machine Learning (ICML), 2023 | 22 | 2023 |
| Disambiguation of weak supervision with exponential convergence rates V Cabannes, F Bach, A Rudi International Conference on Machine Learning (ICML), 2021 | 22* | 2021 |
| Fast rates in structured prediction V Cabannes, A Rudi, F Bach Conference On Learning Theory (COLT), 2021 | 20 | 2021 |
| Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning V Cabannes, L Pillaud-Vivien, F Bach, A Rudi NeurIPS, 2021 | 18 | 2021 |
| Birth of a Transformer: A Memory Viewpoint A Bietti, V Cabannes, D Bouchacourt, H Jegou, L Bottou NeurIPS, 2023 | 16 | 2023 |
| Dialog on a canvas with a machine V Cabannes, T Kerdreux, L Thiry, T Campana, C Ferrandes NeurIPS workshop on Creativity, 2019 | 10 | 2019 |
| On minimal variations for unsupervised representation learning V Cabannes, A Bietti, R Balestriero ICASSP, 2022 | 7 | 2022 |
| Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need V Cabannes, L Bottou, Y Lecun, R Balestriero International Conference on Computer Vision (ICCV), 2023 | 6 | 2023 |
| Scaling laws for associative memories V Cabannes, E Dohmatob, A Bietti ICLR, 2023 | 5 | 2023 |
| Will the digital future be embodied? V Cabannes Esprit, 117-125, 2022 | 3* | 2022 |
| How many samples are needed to leverage smoothness? V Cabannes, S Vigogna NeurIPS, 2023 | 2 | 2023 |
| From weakly supervised learning to active labeling V Cabannes PhD thesis at Ecole Normale Supérieure (ENS), 2022 | 2* | 2022 |
| Active Labeling: Streaming Stochastic Gradients V Cabannes, F Bach, V Perchet, A Rudi NeurIPS, 2022 | 2 | 2022 |
| A case of exponential convergence rates for SVM V Cabannes, S Vigogna AISTATS, 2022 | 2 | 2022 |
| The Galerkin method beats Graph-Based Approaches for Spectral Algorithms V Cabannes, F Bach AISTATS, 2023 | 1* | 2023 |
| Diptychs of human and machine perceptions V Cabannes, T Kerdreux, L Thiry NeurIPS workshop on Creativity, 2020 | 1 | 2020 |
| Touring sampling with pushforward maps V Cabannes, C Arnal ICASSP 2024-International Conference on Acoustics, Speech, and Signal Processing, 2024 | | 2024 |
| Learning Associative Memories with Gradient Descent V Cabannes, B Simsek, A Bietti arXiv preprint arXiv:2402.18724, 2024 | | 2024 |
| Mode Estimation with Partial Feedback V Cabannes, C Arnal, V Perchet arXiv preprint arXiv:2402.13079, 2024 | | 2024 |
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
