| 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, ... [JMLR 2021] Journal of Machine Learning Research 22 (289), 1-39, 2021 | 268* | 2021 |
| Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning L Zintgraf, L Feng, C Lu, M Igl, K Hartikainen, K Hofmann, S Whiteson [ICML 2021] International Conference on Machine Learning, 2021 | 45 | 2021 |
| Towards Better Selective Classification L Feng, MO Ahmed, H Hajimirsadeghi, A Abdi [ICLR 2023] International Conference on Learning Representations, 2023 | 17* | 2023 |
| Continuous-Time Meta-Learning with Forward Mode Differentiation T Deleu, D Kanaa, L Feng, G Kerg, Y Bengio, G Lajoie, PL Bacon [ICLR 2022 Spotlight] International Conference on Learning Representations, 2022 | 17 | 2022 |
| Latent Bottlenecked Attentive Neural Processes L Feng, H Hajimirsadeghi, Y Bengio, MO Ahmed [ICLR 2023] International Conference on Learning Representations, 2023 | 8 | 2023 |
| Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization L Feng, P Nouri, A Muni, Y Bengio, PL Bacon [NeurIPS Workshop 2022] NeurIPS, Workshop on Machine Learning in Structural …, 2022 | 4 | 2022 |
| VIABLE: Fast Adaptation via Backpropagating Learned Loss L Feng, L Zintgraf, B Peng, S Whiteson [NeurIPS Workshop 2019] NeurIPS, Third Workshop on Meta-Learning, 2019 | 3 | 2019 |
| Memory Efficient Neural Processes via Constant Memory Attention Block L Feng, F Tung, H Hajimirsadeghi, Y Bengio, MO Ahmed arXiv preprint arXiv:2305.14567, 2023 | 1* | 2023 |
| Tree Cross Attention L Feng, F Tung, H Hajimirsadeghi, Y Bengio, MO Ahmed [ICLR 2024] International Conference on Learning Representations, 2024 | | 2024 |
| Selective classification with alternate selection mechanism L Feng, MO Ahmed, H Hajimirsadeghi, A Abdi US Patent App. 18/316,105, 2023 | | 2023 |
Luisa ZintgrafDeepMindVerified email at deepmind.com
