| Hard negative mixing for contrastive learning Y Kalantidis, MB Sariyildiz, N Pion, P Weinzaepfel, D Larlus Advances in neural information processing systems 33, 21798-21809, 2020 | 651 | 2020 |
| Learning Visual Representations with Caption Annotations MB Sariyildiz, J Perez, L Diane European Conference on Computer Vision (ECCV), 153-170, 2020 | 171 | 2020 |
| Gradient matching generative networks for zero-shot learning MB Sariyildiz, RG Cinbis IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2168-2178, 2019 | 170 | 2019 |
| Fake it till you make it: Learning (s) from a synthetic imagenet clone MB Sariyildiz, K Alahari, D Larlus, Y Kalantidis | 121* | 2022 |
| Concept generalization in visual representation learning MB Sariyildiz, Y Kalantidis, D Larlus, K Alahari Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 47 | 2021 |
| No reason for no supervision: Improved generalization in supervised models MB Sariyildiz, Y Kalantidis, K Alahari, D Larlus arXiv preprint arXiv:2206.15369, 2022 | 28* | 2022 |
| Key protected classification for collaborative learning MB Sariyildiz, RG Cinbis, E Ayday Pattern Recognition 104, 107327, 2020 | 11 | 2020 |
| Method for training a convolutional neural network for image recognition using image-conditioned masked language modeling D Larlus-Larrondo, J Perez, MB Sariyildiz US Patent 11,263,753, 2022 | 10 | 2022 |
| UNIC: Universal Classification Models via Multi-teacher Distillation MB Sariyildiz, P Weinzaepfel, T Lucas, D Larlus, Y Kalantidis arXiv preprint arXiv:2408.05088, 2024 | | 2024 |
| Unsupervised contrastive learning of visual representations using negative mixing I Kalantidis, D Larlus, P Weinzaepfel, MB Sariyildiz, P Noé US Patent 12,013,700, 2024 | | 2024 |
| A Recurrent and Meta-learned Model of Weakly Supervised Object Localization MB Sariyildiz, G Sumbul, RG Cinbis 2022 International Symposium on Multidisciplinary Studies and Innovative …, 2022 | | 2022 |
| Supplementary Material for Fake it till you make it: Learning transferable representations from synthetic ImageNet clones MB Sariyildiz, K Alahari, D Larlus, Y Kalantidis | | |
| Supplementary material for Concept Generalization in Visual Representation Learning MB Sariyildiz, Y Kalantidis, D Larlus, K Alahari | | |
Diane LarlusNAVER LABS EuropeVerified email at naverlabs.com
