| Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning L Zintgraf, L Feng, C Lu, M Igl, K Hartikainen, K Hofmann, S Whiteson International Conference on Machine Learning (ICML) 2021, 2020 | 22 | 2020 |
| VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning L Zintgraf, S Schulze, C Lu, L Feng, M Igl, K Shiarlis, Y Gal, K Hofmann, ... Journal of Machine Learning Research 22 (289), 1-39, 2021 | 8 | 2021 |
| Continuous-Time Meta-Learning with Forward Mode Differentiation T Deleu, D Kanaa, L Feng, G Kerg, Y Bengio, G Lajoie, PL Bacon International Conference on Learning Representations (ICLR) (Spotlight), 2022 | 3 | 2022 |
| Towards Better Selective Classification L Feng, MO Ahmed, H Hajimirsadeghi, A Abdi International Conference on Learning Representations (ICLR), 2023 | 2* | 2023 |
| Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization L Feng, P Nouri, A Muni, Y Bengio, PL Bacon Neural Information Processing Systems, Workshop on Machine Learning in …, 2022 | 1 | 2022 |
| VIABLE: Fast Adaptation via Backpropagating Learned Loss L Feng, L Zintgraf, B Peng, S Whiteson Neural Information Processing Systems, 3rd Workshop on Meta-Learning, 2019 | 1 | 2019 |
| Latent Bottlenecked Attentive Neural Processes L Feng, H Hajimirsadeghi, Y Bengio, MO Ahmed International Conference on Learning Representations (ICLR), 2023 | | 2023 |
| Efficient Queries Transformer Neural Processes L Feng, H Hajimirsadeghi, Y Bengio, MO Ahmed Neural Information Processing Systems, 6th Workshop on Meta-Learning, 2022 | | 2022 |
| Exploration in Approximate Hyper-state Space L Zintgraf, L Feng, M Igl, K Hartikainen, K Hofmann, S Whiteson International Conference on Learning Representations, Workshop on Beyond …, 2020 | | 2020 |
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified email at cs.ox.ac.uk
