| 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 | 364* | 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 | 59 | 2021 |
| Towards Better Selective Classification L Feng, MO Ahmed, H Hajimirsadeghi, A Abdi [ICLR 2023] International Conference on Learning Representations, 2023 | 27* | 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 | 26 | 2022 |
| Latent Bottlenecked Attentive Neural Processes L Feng, H Hajimirsadeghi, Y Bengio, MO Ahmed [ICLR 2023] International Conference on Learning Representations, 2023 | 18 | 2023 |
| Were RNNs All We Needed? L Feng, F Tung, MO Ahmed, Y Bengio, H Hajimirsadegh arXiv preprint arXiv:2410.01201, 2024 | 9 | 2024 |
| Attention as an RNN L Feng, F Tung, H Hajimirsadeghi, MO Ahmed, Y Bengio, G Mori arXiv preprint arXiv:2405.13956, 2024 | 6 | 2024 |
| Generative Active Learning for the Search of Small-molecule Protein Binders M Korablyov, CH Liu, M Jain, AM van der Sloot, E Jolicoeur, E Ruediger, ... arXiv preprint arXiv:2405.01616, 2024 | 4 | 2024 |
| Memory Efficient Neural Processes via Constant Memory Attention Block L Feng, F Tung, H Hajimirsadeghi, Y Bengio, MO Ahmed [ICML 2024] International Conference on Machine Learning, 2024 | 4* | 2024 |
| 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 |
| Adaptive teachers for amortized samplers M Kim, S Choi, T Yun, E Bengio, L Feng, J Rector-Brooks, S Ahn, J Park, ... arXiv preprint arXiv:2410.01432, 2024 | 3 | 2024 |
| 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 |
| Selective classification with alternate selection mechanism L Feng, MO Ahmed, H Hajimirsadeghi, A Abdi US Patent App. 18/316,105, 2023 | 1 | 2023 |
| Efficient Queries Transformer Neural Processes L Feng, H Hajimirsadeghi, Y Bengio, MO Ahmed [NeurIPS Workshop 2022] NeurIPS, Workshop on Meta-Learning, 2022 | 1 | 2022 |
| Tree Cross Attention L Feng, F Tung, H Hajimirsadeghi, Y Bengio, MO Ahmed [ICLR 2024] International Conference on Learning Representations, 2024 | | 2024 |
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoВерификована је имејл адреса на cs.ox.ac.uk
