| Enriching word vectors with subword information P Bojanowski, E Grave, A Joulin, T Mikolov Transactions of the Association for Computational Linguistics 5, 135--146, 2017 | 10015 | 2017 |
| Bag of tricks for efficient text classification A Joulin, E Grave, P Bojanowski, T Mikolov Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 4863 | 2017 |
| Deep clustering for unsupervised learning of visual features M Caron, P Bojanowski, A Joulin, M Douze Proceedings of the European conference on computer vision (ECCV), 132-149, 2018 | 2112 | 2018 |
| Unsupervised learning of visual features by contrasting cluster assignments M Caron, I Misra, J Mairal, P Goyal, P Bojanowski, A Joulin Advances in neural information processing systems 33, 9912-9924, 2020 | 1970 | 2020 |
| Learning word vectors for 157 languages E Grave, P Bojanowski, P Gupta, A Joulin, T Mikolov Proceedings of Language Resources and Evaluation Conference (LREC), 2018 | 1441 | 2018 |
| Advances in pre-training distributed word representations T Mikolov, E Grave, P Bojanowski, C Puhrsch, A Joulin Proceedings of Language Resources and Evaluation Conference (LREC), 2018 | 1412 | 2018 |
| Emerging properties in self-supervised vision transformers M Caron, H Touvron, I Misra, H Jégou, J Mairal, P Bojanowski, A Joulin Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 1368 | 2021 |
| FastText.zip: Compressing text classification models A Joulin, E Grave, P Bojanowski, M Douze, H Jégou, T Mikolov arXiv preprint arXiv:1612.03651, 2016 | 1166 | 2016 |
| Towards ai-complete question answering: A set of prerequisite toy tasks J Weston, A Bordes, S Chopra, AM Rush, B Van Merriënboer, A Joulin, ... arXiv preprint arXiv:1502.05698, 2015 | 1114 | 2015 |
| Deep fragment embeddings for bidirectional image sentence mapping A Karpathy, A Joulin, L Fei Fei Advances in neural information processing systems, 1889-1897, 2014 | 955 | 2014 |
| Discriminative clustering for image co-segmentation A Joulin, F Bach, J Ponce Proceedings of the Conference on Computer Vision and Pattern Recognition …, 2010 | 564 | 2010 |
| Inferring algorithmic patterns with stack-augmented recurrent nets A Joulin, T Mikolov Advances in Neural Information Processing Systems, 190-198, 2015 | 420 | 2015 |
| Unsupervised joint object discovery and segmentation in internet images M Rubinstein, A Joulin, J Kopf, C Liu Proceedings of the Conference on Computer Vision and Pattern Recognition …, 2013 | 417 | 2013 |
| Optimizing the latent space of generative networks P Bojanowski, A Joulin, D Lopez-Paz, A Szlam Proceedings of the International Conference on Machine Learning (ICML), 2018 | 379 | 2018 |
| Reducing Transformer Depth on Demand with Structured Dropout A Fan, E Grave, A Joulin International Conference on Learning Representations (ICLR), 2020 | 355 | 2020 |
| Multi-Class Cosegmentation A Joulin, F Bach, J Ponce Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2012 | 344 | 2012 |
| Learning visual features from large weakly supervised data A Joulin, L Van Der Maaten, A Jabri, N Vasilache Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 330 | 2016 |
| Levit: a vision transformer in convnet's clothing for faster inference B Graham, A El-Nouby, H Touvron, P Stock, A Joulin, H Jégou, M Douze Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 317* | 2021 |
| Clusterpath An Algorithm for Clustering using Convex Fusion Penalties TD Hocking, A Joulin, F Bach, JP Vert Proceedings of the International Conference on Machine Learning (ICML), 2011 | 303 | 2011 |
| Learning longer memory in recurrent neural networks T Mikolov, A Joulin, S Chopra, M Mathieu, MA Ranzato arXiv preprint arXiv:1412.7753, 2014 | 301 | 2014 |
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