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Leo Feng
Leo Feng
Mila -- University of Montreal
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
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
292020
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
122021
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
92022
Towards Better Selective Classification
L Feng, MO Ahmed, H Hajimirsadeghi, A Abdi
International Conference on Learning Representations (ICLR), 2023
3*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
22022
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
22019
Latent Bottlenecked Attentive Neural Processes
L Feng, H Hajimirsadeghi, Y Bengio, MO Ahmed
International Conference on Learning Representations (ICLR), 2023
12023
Constant Memory Attentive Neural Processes
L Feng, F Tung, H Hajimirsadeghi, Y Bengio, MO Ahmed
arXiv preprint arXiv:2305.14567, 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
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