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Papers
Debiased All-in-one Image Restoration with Task Uncertainty Regularization
AAAI 2025
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
ICML 2025
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
ICML 2024
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components
AAAI 2024
Uncertainty Regularized Multi-Task Learning
ACL 2022
Meta-Reinforcement Learning by Tracking Task Non-stationarity
IJCAI 2021
Probabilistic task modelling for meta-learning
UAI 2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning
JMLR 2021
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
ICLR 2020