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Leo Feng
Leo Feng
Mila -- University of Montreal
Verified email at mila.quebec - Homepage
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Year
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
267*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
452021
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
172022
Latent Bottlenecked Attentive Neural Processes
L Feng, H Hajimirsadeghi, Y Bengio, MO Ahmed
[ICLR 2023] International Conference on Learning Representations, 2023
82023
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
42022
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
32019
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
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