| Birth of a Transformer: A Memory Viewpoint A Bietti, V Cabannes, D Bouchacourt, H Jegou, L Bottou Neural Information Processing Systems (NeurIPS), 2023 | 70 | 2023 |
| Structured prediction with partial labelling through the infimum loss V Cabannes, A Rudi, F Bach International Conference on Machine Learning (ICML), 1230-1239, 2020 | 53 | 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 | 35 | 2023 |
| Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning V Cabannes, L Pillaud-Vivien, F Bach, A Rudi Neural Information Processing Systems (NeurIPS), 2021 | 27 | 2021 |
| Disambiguation of weak supervision with exponential convergence rates V Cabannes, F Bach, A Rudi International Conference on Machine Learning (ICML), 2021 | 24* | 2021 |
| Fast rates in structured prediction V Cabannes, A Rudi, F Bach Conference On Learning Theory (COLT), 2021 | 24 | 2021 |
| Scaling laws for associative memories V Cabannes, E Dohmatob, A Bietti International Conference on Learning Representations (ICLR), 2024 | 18 | 2024 |
| 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 | 15 | 2023 |
| Dialog on a canvas with a machine V Cabannes, T Kerdreux, L Thiry, T Campana, C Ferrandes NeurIPS workshop on Creativity, 2019 | 11 | 2019 |
| On minimal variations for unsupervised representation learning V Cabannes, A Bietti, R Balestriero ICASSP 2023-International Conference on Acoustics, Speech, and Signal Processing, 2023 | 8 | 2023 |
| Learning Associative Memories with Gradient Descent V Cabannes, B Simsek, A Bietti International Conference on Machine Learning (ICML), 2024 | 5 | 2024 |
| Iteration Head: A Mechanistic Study of Chain-of-Thought V Cabannes, C Arnal, W Bouaziz, A Yang, F Charton, J Kempe NeurIPS, 2024 | 4 | 2024 |
| The Galerkin method beats Graph-Based Approaches for Spectral Algorithms V Cabannes, F Bach International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 | 4* | 2024 |
| How many samples are needed to leverage smoothness? V Cabannes, S Vigogna Neural Information Processing Systems (NeurIPS), 2023 | 4 | 2023 |
| A case of exponential convergence rates for SVM V Cabannes, S Vigogna International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 | 4 | 2023 |
| Will the digital future be embodied? V Cabannes Esprit, 117-125, 2022 | 3* | 2022 |
| 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 Neural Information Processing Systems (NeurIPS), 2022 | 2 | 2022 |
| Diptychs of human and machine perceptions V Cabannes, T Kerdreux, L Thiry NeurIPS workshop on Creativity, 2020 | 1 | 2020 |
| Easing Optimization Paths: a Circuit Perspective A Odonnat, W Bouaziz, V Cabannes arXiv preprint arXiv:2501.02362, 2025 | | 2025 |
Alberto BiettiFlatiron Institute, Simons Foundation在 nyu.edu 的电子邮件经过验证