| Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning M Abdar, M Samami, SD Mahmoodabad, T Doan, B Mazoure, ... Computers in biology and medicine 135, 104418, 2021 | 108 | 2021 |
| Deep Reinforcement and InfoMax Learning B Mazoure, RT Combes, T Doan, P Bachman, RD Hjelm NeurIPS 2020, 2020 | 87 | 2020 |
| Multi-objective training of Generative Adversarial Networks with multiple discriminators I Albuquerque, J Monteiro, T Doan, B Considine, T Falk, I Mitliagkas ICML 2019, 2019 | 66 | 2019 |
| Leveraging exploration in off-policy algorithms via normalizing flows B Mazoure*, T Doan*, A Durand, RD Hjelm, J Pineau CoRL 2019, 2019 | 47 | 2019 |
| A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix T Doan, M Bennani, B Mazoure, G Rabusseau, P Alquier AISTATS 2021, 2021 | 39 | 2021 |
| Online Adaptative Curriculum Learning for GANs T Doan, J Monteiro, I Albuquerque, B Mazoure, A Durand, J Pineau, ... AAAI 2019, 2019 | 39 | 2019 |
| Generalisation guarantees for continual learning with orthogonal gradient descent MA Bennani, T Doan, M Sugiyama ICML workshop on Lifelong Learning 2020, 2020 | 28 | 2020 |
| Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning S Venkattaramanujam, E Crawford, T Doan, D Precup arXiv preprint arXiv:1907.02998, 2019 | 25 | 2019 |
| Domain Adversarial Reinforcement Learning B Li, V François-Lavet, T Doan, J Pineau Deep RL workshop Neurips 2020, 2021 | 23 | 2021 |
| Bayesian Policy Gradients via Alpha Divergence Dropout Inference P Henderson*, T Doan*, R Islam, D Meger Bayesian Deep Learning Workshop NIPS 2017, 2017 | 16 | 2017 |
| GAN Q-learning T Doan*, B Mazoure*, C Lyle arXiv preprint arXiv:1805.04874, 2018 | 15 | 2018 |
| Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning T Doan*, B Mazoure*, A Durand, J Pineau, RD Hjelm arXiv preprint arXiv:1909.07543, 2019 | 13 | 2019 |
| Regularized Inverse Reinforcement Learning W Jeon, CY Su, P Barde, T Doan, D Nowrouzezahrai, J Pineau ICLR 2021, 2021 | 10 | 2021 |
| Building a Subspace of Policies for Scalable Continual Learning JB Gaya, T Doan, L Caccia, L Soulier, L Denoyer, R Raileanu ICLR 2023, 2023 | 6 | 2023 |
| Continual Learning Beyond a Single Model T Doan, SI Mirzadeh, M Farajtabar CoLLAs 2023, 2023 | 6* | 2023 |
| Generating Realistic Sequences of Customer-level Transactions for Retail Datasets T Doan, N Veira, S Ray, B Keng International Conference on Data Mining (ICDM), Workshop on Data Mining for …, 2018 | 4 | 2018 |
| EmojiGAN: learning emojis distributions with a generative model B Mazoure*, T Doan*, S Ray Proceedings of the 9th Workshop on Computational Approaches to Subjectivity …, 2018 | 4 | 2018 |
| Low-Rank Representation of Reinforcement Learning Policies B Mazoure*, T Doan*, T Li, V Makarenkov, J Pineau, D Precup, ... JAIR 2022, 2022 | 3* | 2022 |
| Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection T Doan, X Li, S Behpour, W He, L Gou, L Ren arXiv preprint arXiv:2306.14291, 2023 | | 2023 |
| GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients S Behpour, T Doan, X Li, W He, L Gou, L Ren NeurIPS 2023, 2023 | | 2023 |
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