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Meta-Learning

1,529 papers

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Papers

Meta-trained agents implement Bayes-optimal agents NIPS 2020
Task-Robust Model-Agnostic Meta-Learning NIPS 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning NIPS 2020
Meta-Learning through Hebbian Plasticity in Random Networks NIPS 2020
Meta-Learning with Adaptive Hyperparameters NIPS 2020
Probabilistic Active Meta-Learning NIPS 2020
Gradient-EM Bayesian Meta-Learning NIPS 2020
Learning to Learn with Feedback and Local Plasticity NIPS 2020
Geometric Dataset Distances via Optimal Transport NIPS 2020
Learning to Adapt to Evolving Domains NIPS 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CORL 2020
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CORL 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models CORL 2020
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020
Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching AAAI 2020
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees AAAI 2020
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020
Attribute Propagation Network for Graph Zero-Shot Learning AAAI 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020
Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials AAAI 2020
How Should an Agent Practice? AAAI 2020
M-NAS: Meta Neural Architecture Search AAAI 2020
Meta-Amortized Variational Inference and Learning AAAI 2020
Learning to Learn Morphological Inflection for Resource-Poor Languages AAAI 2020