| Countering language drift with seeded iterated learning Y Lu, S Singhal, F Strub, A Courville, O Pietquin International Conference on Machine Learning, 6437-6447, 2020 | 85 | 2020 |
| Recall traces: Backtracking models for efficient reinforcement learning A Goyal, P Brakel, W Fedus, S Singhal, T Lillicrap, S Levine, H Larochelle, ... ICLR 2019, 2019 | 83 | 2019 |
| 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 | 46 | 2022 |
| Supervised Seeded Iterated Learning for Interactive Language Learning Y Lu, S Singhal, F Strub, O Pietquin, A Courville EMNLP 2020, 2020 | 12 | 2020 |
| Jointly Trained Image and Video Generation using Residual Vectors Y Dandi, A Das, S Singhal, VP Namboodiri, P Rai 2020 Winter Conference on Applications of Computer Vision (WACV), 2019 | 9 | 2019 |
| Abstractive text summarization S Singhal, A Bhattacharya Department of Computer Science IIT Kanpur, 1-11, 2015 | 9 | 2015 |
| Effective backdoor mitigation depends on the pre-training objective S Verma, G Bhatt, A Schwarzschild, S Singhal, AM Das, C Shah, ... arXiv preprint arXiv:2311.14948, 2023 | 2 | 2023 |
| Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment S Sun, Y Zhang, A Bukharin, D Mosallanezhad, J Zeng, S Singhal, ... arXiv preprint arXiv:2502.00203, 2025 | | 2025 |
| On iterated learning for task-oriented dialogue S Singhal | | 2022 |
| Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective S Verma, G Bhatt, A Schwarzschild, S Singhal, AM Das, C Shah, ... Transactions on Machine Learning Research, 0 | | |
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairAdresse e-mail validée de umontreal.ca