| Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1300 | 2022 |
| Optimizing millions of hyperparameters by implicit differentiation J Lorraine, P Vicol, D Duvenaud International Conference on Artificial Intelligence and Statistics, 1540-1552, 2020 | 459 | 2020 |
| Flipout: Efficient pseudo-independent weight perturbations on mini-batches Y Wen, P Vicol, J Ba, D Tran, R Grosse ICLR 2018, 2018 | 396 | 2018 |
| Self-tuning networks: Bilevel optimization of hyperparameters using structured best-response functions M MacKay*, P Vicol*, J Lorraine, D Duvenaud, R Grosse ICLR 2019, 2019 | 207 | 2019 |
| Moviegraphs: Towards understanding human-centric situations from videos P Vicol, M Tapaswi, L Castrejon, S Fidler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 170 | 2018 |
| Understanding and mitigating exploding inverses in invertible neural networks J Behrmann*, P Vicol*, KC Wang*, R Grosse, JH Jacobsen International Conference on Artificial Intelligence and Statistics, 1792-1800, 2021 | 117 | 2021 |
| Directly Fine-Tuning Diffusion Models on Differentiable Rewards K Clark*, P Vicol*, K Swersky, DJ Fleet arXiv preprint arXiv:2309.17400, 2023 | 105 | 2023 |
| Adversarial distillation of bayesian neural network posteriors KC Wang, P Vicol, J Lucas, L Gu, R Grosse, R Zemel International Conference on Machine Learning, 5190-5199, 2018 | 80 | 2018 |
| Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies P Vicol, L Metz, J Sohl-Dickstein International Conference on Machine Learning (Outstanding Paper), 10553-10563, 2021 | 66 | 2021 |
| Reversible recurrent neural networks M MacKay, P Vicol, J Ba, R Grosse NeurIPS 2018, 2018 | 66 | 2018 |
| On Implicit Bias in Overparameterized Bilevel Optimization P Vicol, JP Lorraine, F Pedregosa, D Duvenaud, RB Grosse International Conference on Machine Learning, 22234-22259, 2022 | 47 | 2022 |
| Amortized Proximal Optimization J Bae*, P Vicol*, JZ HaoChen, R Grosse NeurIPS 2022, 2022 | 17 | 2022 |
| Few-shot Out-of-Distribution Detection KC Wang, P Vicol, E Triantafillou, R Zemel ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning, 2020 | 13 | 2020 |
| Lyapunov Exponents for Diversity in Differentiable Games J Lorraine, P Vicol, J Parker-Holder, T Kachman, L Metz, J Foerster AAMAS 2022, 2021 | 9 | 2021 |
| Disentanglement and Generalization Under Correlation Shifts CM Funke*, P Vicol*, KC Wang, M Kümmerer, R Zemel, M Bethge CoLLAs 2022, 2021 | 6 | 2021 |
| Complex Momentum for Learning in Games J Lorraine, D Acuna, P Vicol, D Duvenaud AISTATS 2022, 2021 | 6 | 2021 |
| Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single P Vicol, Z Kolter, K Swersky arXiv preprint arXiv:2304.11153, 2023 | 5 | 2023 |
| Using Bifurcations for Diversity in Differentiable Games J Lorraine, J Parker-Holder, P Vicol, A Pacchiano, L Metz, T Kachman, ... | 5 | 2021 |
| An Implementation of Consistency-Based Multi-Agent Belief Change using ASP P Vicol, J Delgrande, T Schaub International Conference on Logic Programming and Nonmonotonic Reasoning …, 2015 | 3 | 2015 |
| On Bilevel Optimization without Full Unrolls: Methods and Applications PA Vicol University of Toronto (Canada), 2023 | 2 | 2023 |
Roger GrosseAssociate Professor, University of TorontoBestätigte E-Mail-Adresse bei cs.toronto.edu