Adaptive teachers for amortized samplers.
CoRR, 2024
Memory Efficient Neural Processes via Constant Memory Attention Block.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Constant Memory Attention Block.
CoRR, 2023
Constant Memory Attentive Neural Processes.
CoRR, 2023
Latent Bottlenecked Attentive Neural Processes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Towards Better Selective Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization.
CoRR, 2022
Stop Overcomplicating Selective Classification: Use Max-Logit.
CoRR, 2022
Continuous-Time Meta-Learning with Forward Mode Differentiation.
Proceedings of the Tenth International Conference on Learning Representations, 2022
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning.
J. Mach. Learn. Res., 2021
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning.
CoRR, 2020
VIABLE: Fast Adaptation via Backpropagating Learned Loss.
CoRR, 2019