| Deep reinforcement learning at the edge of the statistical precipice R Agarwal, M Schwarzer, PS Castro, A Courville, MG Bellemare Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 740 | 2021 |
| Data-Efficient Reinforcement Learning with Self-Predictive Representations M Schwarzer, A Anand, R Goel, RD Hjelm, A Courville, P Bachman International Conference on Learning Representations, 2021 | 397* | 2021 |
| The primacy bias in deep reinforcement learning E Nikishin, M Schwarzer, P D’Oro, PL Bacon, A Courville International Conference on Machine Learning, 16828-16847, 2022 | 193 | 2022 |
| Mm1: Methods, analysis & insights from multimodal llm pre-training B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ... arXiv preprint arXiv:2403.09611, 2024 | 180 | 2024 |
| Pretraining representations for data-efficient reinforcement learning M Schwarzer, N Rajkumar, M Noukhovitch, A Anand, L Charlin, RD Hjelm, ... Advances in Neural Information Processing Systems 34, 12686-12699, 2021 | 157 | 2021 |
| Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier P D'Oro, M Schwarzer, E Nikishin, PL Bacon, MG Bellemare, A Courville International Conference on Learning Representations, 0 | 105* | |
| Bigger, Better, Faster: Human-level Atari with human-level efficiency M Schwarzer, J Obando-Ceron, A Courville, M Bellemare, R Agarwal, ... International Conference on Machine Learning, 2023 | 86 | 2023 |
| Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks M Schwarzer, B Rogan, Y Ruan, Z Song, DY Lee, AG Percus, VT Chau, ... Computational Materials Science 162, 322-332, 2019 | 85 | 2019 |
| Reincarnating reinforcement learning: Reusing prior computation to accelerate progress R Agarwal, M Schwarzer, PS Castro, AC Courville, M Bellemare Advances in Neural Information Processing Systems 35, 28955-28971, 2022 | 82* | 2022 |
| Large language models as generalizable policies for embodied tasks A Szot, M Schwarzer, H Agrawal, B Mazoure, R Metcalf, W Talbott, ... The Twelfth International Conference on Learning Representations, 2023 | 43 | 2023 |
| Iterated Learning for Emergent Systematicity in VQA A Vani, M Schwarzer, Y Lu, E Dhekane, A Courville ICLR, 2021 | 33 | 2021 |
| Simplicial Embeddings in Self-Supervised Learning and Downstream Classification S Lavoie, C Tsirigotis, M Schwarzer, A Vani, M Noukhovitch, K Kawaguchi, ... International Conference on Learning Representations, 2022 | 19 | 2022 |
| Tumor necrosis factor (TNF) superfamily receptor IgM antibodies and uses thereof BTY Wang, MA Schwarzer, BA Keyt, R Baliga US Patent 9,938,347, 2018 | 19 | 2018 |
| Multimeric death domain-containing receptor-5 (DR5) antibodies and uses thereof BTY Wang, MA Schwarzer, BA Keyt, R Baliga US Patent 10,689,449, 2020 | 16 | 2020 |
| Human evaluation for text simplification: The simplicity-adequacy tradeoff M Schwarzer, D Kauchak SoCal NLP Symposium, 2018 | 16 | 2018 |
| Improving Human Text Simplification with Sentence Fusion M Schwarzer, T Tanprasert, D Kauchak Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural …, 2021 | 7 | 2021 |
| GAIT: A Geometric Approach to Information Theory JG Posada, A Vani, M Schwarzer, S Lacoste-Julien International Conference on Artificial Intelligence and Statistics, 2601-2611, 2020 | 4* | 2020 |
| Discovering the Electron Beam Induced Transition Rates for Silicon Dopants in Graphene with Deep Neural Networks in the STEM KM Roccapriore, M Schwarzer, J Greaves, J Farebrother, R Agarwal, ... Microscopy and Microanalysis 29 (Supplement_1), 1932-1933, 2023 | 1 | 2023 |
| Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy M Schwarzer, J Farebrother, J Greaves, ED Cubuk, R Agarwal, ... arXiv preprint arXiv:2311.17894, 2023 | | 2023 |
| Analysis of high dimensional distributions with decoupled norm and direction J Gallego, A Vani, M Schwarzer, S Lotfi | | |
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairumontreal.ca의 이메일 확인됨