| Modulating early visual processing by language H De Vries, F Strub, J Mary, H Larochelle, O Pietquin, AC Courville Advances in neural information processing systems 30, 2017 | 548 | 2017 |
| Hybrid recommender system based on autoencoders F Strub, R Gaudel, J Mary Proceedings of the 1st workshop on deep learning for recommender systems, 11-16, 2016 | 282 | 2016 |
| Collaborative filtering with stacked denoising autoencoders and sparse inputs F Strub, J Mary, P Philippe NIPS workshop on machine learning for eCommerce, 2015 | 229 | 2015 |
| Fairness-aware learning for continuous attributes and treatments J Mary, C Calauzenes, N El Karoui International Conference on Machine Learning, 4382-4391, 2019 | 120 | 2019 |
| Do not mask what you do not need to mask: a parser-free virtual try-on T Issenhuth, J Mary, C Calauzenes Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 96 | 2020 |
| Ensemble feature ranking K Jong, J Mary, A Cornuéjols, E Marchiori, M Sebag European Conference on Principles of Data Mining and Knowledge Discovery …, 2004 | 91 | 2004 |
| End-to-end optimization of goal-driven and visually grounded dialogue systems F Strub, H De Vries, J Mary, B Piot, A Courville, O Pietquin arXiv preprint arXiv:1703.05423, 2017 | 84 | 2017 |
| Bandits and recommender systems J Mary, R Gaudel, P Preux Machine Learning, Optimization, and Big Data: First International Workshop …, 2015 | 81 | 2015 |
| Hybrid collaborative filtering with autoencoders F Strub, J Mary, R Gaudel arXiv preprint arXiv:1603.00806, 2016 | 68* | 2016 |
| Distributionally robust reinforcement learning E Smirnova, E Dohmatob, J Mary arXiv preprint arXiv:1902.08708, 2019 | 62 | 2019 |
| Consistent algorithms for clustering time series A Khaleghi, D Ryabko, J Mary, P Preux The Journal of Machine Learning Research 17 (1), 94-125, 2016 | 60 | 2016 |
| Fighting boredom in recommender systems with linear reinforcement learning R Warlop, A Lazaric, J Mary Advances in Neural Information Processing Systems 31, 2018 | 52 | 2018 |
| Biological detection of low radiation doses by combining results of two microarray analysis methods G Mercier, N Berthault, J Mary, J Peyre, A Antoniadis, JP Comet, ... Nucleic Acids Research 32 (1), e12-e12, 2004 | 50 | 2004 |
| Learning disconnected manifolds: a no gan’s land U Tanielian, T Issenhuth, E Dohmatob, J Mary International Conference on Machine Learning, 9418-9427, 2020 | 39 | 2020 |
| Recurrent neural networks for long and short-term sequential recommendation K Villatel, E Smirnova, J Mary, P Preux arXiv preprint arXiv:1807.09142, 2018 | 37 | 2018 |
| Online clustering of processes A Khaleghi, D Ryabko, J Mary, P Preux Artificial Intelligence and Statistics, 601-609, 2012 | 32 | 2012 |
| Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques J Mary, P Preux, O Nicol International Conference on Machine Learning, 172-180, 2014 | 31 | 2014 |
| Visual reasoning with multi-hop feature modulation F Strub, M Seurin, E Perez, H De Vries, J Mary, P Preux, ACO Pietquin Proceedings of the European Conference on Computer Vision (ECCV), 784-800, 2018 | 26 | 2018 |
| End-to-end learning of geometric deformations of feature maps for virtual try-on T Issenhuth, J Mary, C Calauzènes arXiv preprint arXiv:1906.01347, 2019 | 25 | 2019 |
| Tensorized determinantal point processes for recommendation R Warlop, J Mary, M Gartrell Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 24 | 2019 |
Philippe PreuxProfessor of computer science, Université de Lille, LIFL, SequeL, INRIA在 univ-lille.fr 的电子邮件经过验证
