| Fraternal dropout K Zolna, D Arpit, D Suhubdy, Y Bengio Proceedings of the 6th International Conference on Learning Representations, 2017 | 26 | 2017 |
| Towards homoscedastic nonlinear cointegration for structural health monitoring K Zolna, PB Dao, WJ Staszewski, T Barszcz Mechanical Systems and Signal Processing 75, 94-108, 2016 | 19 | 2016 |
| Scaling data-driven robotics with reward sketching and batch reinforcement learning S Cabi, S Gómez Colmenarejo, A Novikov, K Konyushkova, S Reed, ... Robotics: Science and Systems, 2020 | 18* | 2020 |
| Focused Hierarchical RNNs for Conditional Sequence Processing NR Ke, K Zolna, A Sordoni, Z Lin, A Trischler, Y Bengio, J Pineau, ... Proceedings of the 35th International Conference on Machine Learning, 2018 | 16 | 2018 |
| Nonlinear cointegration approach for condition monitoring of wind turbines K Zolna, PB Dao, WJ Staszewski, T Barszcz Mathematical Problems in Engineering 2015, 2015 | 16 | 2015 |
| Adversarial framing for image and video classification K Zolna, M Zajac, N Rostamzadeh, PO Pinheiro Proceedings of the AAAI Conference on Artificial Intelligence 33, 10077-10078, 2019 | 15 | 2019 |
| Critic regularized regression Z Wang, A Novikov, K Żołna, JT Springenberg, S Reed, B Shahriari, ... arXiv preprint arXiv:2006.15134, 2020 | 11 | 2020 |
| Classifier-agnostic saliency map extraction K Zolna, KJ Geras, K Cho Computer Vision and Image Understanding, 102969, 2020 | 11 | 2020 |
| Hyperparameter selection for offline reinforcement learning TL Paine, C Paduraru, A Michi, C Gulcehre, K Zolna, A Novikov, Z Wang, ... arXiv preprint arXiv:2007.09055, 2020 | 10 | 2020 |
| Task-relevant adversarial imitation learning K Zolna, S Reed, A Novikov, SG Colmenarej, D Budden, S Cabi, M Denil, ... arXiv preprint arXiv:1910.01077, 2019 | 9 | 2019 |
| RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning C Gulcehre, Z Wang, A Novikov, T Paine, S Gómez, K Zolna, R Agarwal, ... Advances in Neural Information Processing Systems 33, 2020 | 8* | 2020 |
| Reinforced Imitation in Heterogeneous Action Space K Zolna, N Rostamzadeh, Y Bengio, S Ahn, PO Pinheiro arXiv preprint arXiv:1904.03438, 2019 | 6* | 2019 |
| The dynamics of handwriting improves the automated diagnosis of dysgraphia K Zolna, T Asselborn, C Jolly, L Casteran, W Johal, P Dillenbourg arXiv preprint arXiv:1906.07576, 2019 | 5 | 2019 |
| User Modeling Using LSTM Networks K Zolna, B Romanski Proceedings of the AAAI Conference on Artificial Intelligence 31, 5025-5027, 2017 | 4* | 2017 |
| Combating False Negatives in Adversarial Imitation Learning K Żołna, C Saharia, L Boussioux, DYT Hui, M Chevalier-Boisvert, ... Proceedings of the AAAI Conference on Artificial Intelligence 34, 13999-14000, 2020 | 3* | 2020 |
| Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift M Zając, K Zolna, S Jastrzębski arXiv preprint arXiv:1904.03515, 2019 | 2 | 2019 |
| Improving the performance of neural networks in regression tasks using drawering K Zolna 2017 International Joint Conference on Neural Networks (IJCNN), 2533-2538, 2017 | 2 | 2017 |
| Offline Learning from Demonstrations and Unlabeled Experience K Zolna, A Novikov, K Konyushkova, C Gulcehre, Z Wang, Y Aytar, ... arXiv preprint arXiv:2011.13885, 2020 | 1 | 2020 |
| Semi-supervised reward learning for offline reinforcement learning K Konyushkova, K Zolna, Y Aytar, A Novikov, S Reed, S Cabi, ... arXiv preprint arXiv:2012.06899, 2020 | | 2020 |
| Method of handwritten character recognition confirmation K Zolna, T Asselborn, W Johal US Patent App. 16/765,459, 2020 | | 2020 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
