| Mutual information neural estimation MI Belghazi, A Baratin, S Rajeshwar, S Ozair, Y Bengio, A Courville, ... International conference on machine learning, 531-540, 2018 | 1674 | 2018 |
| Mine: mutual information neural estimation MI Belghazi, A Baratin, S Rajeswar, S Ozair, Y Bengio, A Courville, ... arXiv preprint arXiv:1801.04062, 2018 | 738 | 2018 |
| Augmented cyclegan: Learning many-to-many mappings from unpaired data A Almahairi, S Rajeshwar, A Sordoni, P Bachman, A Courville International conference on machine learning, 195-204, 2018 | 557 | 2018 |
| A deep reinforcement learning chatbot IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1709.02349, 2017 | 370 | 2017 |
| Adversarial generation of natural language S Rajeswar, S Subramanian, F Dutil, C Pal, A Courville arXiv preprint arXiv:1705.10929, 2017 | 171 | 2017 |
| Text recognition using deep BLSTM networks A Ray, S Rajeswar, S Chaudhury 2015 eighth international conference on advances in pattern recognition …, 2015 | 105 | 2015 |
| Adversarial generation of natural language S Subramanian, S Rajeswar, F Dutil, C Pal, A Courville Proceedings of the 2nd Workshop on Representation Learning for NLP, 241-251, 2017 | 80 | 2017 |
| Towards text generation with adversarially learned neural outlines S Subramanian, SR Mudumba, A Sordoni, A Trischler, AC Courville, ... Advances in Neural Information Processing Systems 31, 2018 | 64 | 2018 |
| Multi-label iterated learning for image classification with label ambiguity S Rajeswar, P Rodriguez, S Singhal, D Vazquez, A Courville Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 48 | 2022 |
| Hierarchical adversarially learned inference MI Belghazi, S Rajeswar, O Mastropietro, N Rostamzadeh, J Mitrovic, ... arXiv preprint arXiv:1802.01071, 2018 | 24 | 2018 |
| Equivariant adaptation of large pretrained models AK Mondal, SS Panigrahi, O Kaba, SR Mudumba, S Ravanbakhsh Advances in Neural Information Processing Systems 36, 50293-50309, 2023 | 23 | 2023 |
| Choreographer: Learning and Adapting Skills in Imagination P Mazzaglia, T Verbelen, B Dhoedt, A Lacoste, S Rajeswar 11th International Conference on Learning Representations - ICLR 2023, 2022 | 23 | 2022 |
| Mastering the unsupervised reinforcement learning benchmark from pixels S Rajeswar, P Mazzaglia, T Verbelen, A Piché, B Dhoedt, A Courville, ... International Conference on Machine Learning, 28598-28617, 2023 | 21 | 2023 |
| Adversarial computation of optimal transport maps J Leygonie, J She, A Almahairi, S Rajeswar, A Courville arXiv preprint arXiv:1906.09691, 2019 | 21 | 2019 |
| A deep reinforcement learning chatbot (short version) IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1801.06700, 2018 | 18 | 2018 |
| Pix2shape: Towards unsupervised learning of 3d scenes from images using a view-based representation S Rajeswar, F Mannan, F Golemo, J Parent-Lévesque, D Vazquez, ... International Journal of Computer Vision 128, 2478-2493, 2020 | 17* | 2020 |
| Starvector: Generating scalable vector graphics code from images JA Rodriguez, A Puri, S Agarwal, IH Laradji, P Rodriguez, S Rajeswar, ... arXiv preprint arXiv:2312.11556, 2024 | 16 | 2024 |
| The octopus approach to the Alexa competition: A deep ensemble-based socialbot IV Serban, C Sankar, S Zhang, Z Lin, S Subramanian, T Kim, S Chandar, ... Alexa Prize Proceedings, 2017 | 13 | 2017 |
| A deep reinforcement learning chatbot. arXiv 2017 IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1709.02349, 0 | 13 | |
| VCR: Visual Caption Restoration T Zhang, S Wang, L Li, G Zhang, P Taslakian, S Rajeswar, J Fu, B Liu, ... ICLR 2025, International Conference on Learning Representations, 2024 | 10 | 2024 |
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
