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Meta-Learning

1,529 papers

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Papers

Meta-Learning Requires Meta-Augmentation NIPS 2020
Graph Meta Learning via Local Subgraphs NIPS 2020
Meta-learning from Tasks with Heterogeneous Attribute Spaces NIPS 2020
On Efficiency in Hierarchical Reinforcement Learning NIPS 2020
Online Structured Meta-learning NIPS 2020
Learning Invariants through Soft Unification NIPS 2020
Learning to Learn Variational Semantic Memory NIPS 2020
Neural Complexity Measures NIPS 2020
MetaSDF: Meta-Learning Signed Distance Functions NIPS 2020
Model-based Adversarial Meta-Reinforcement Learning NIPS 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs NIPS 2020
Semi-Supervised Neural Architecture Search NIPS 2020
Modeling and Optimization Trade-off in Meta-learning NIPS 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NIPS 2020
Look-ahead Meta Learning for Continual Learning NIPS 2020
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning NIPS 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning NIPS 2020
Learning to Select Best Forecast Tasks for Clinical Outcome Prediction NIPS 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online NIPS 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020
Gaussian Gated Linear Networks NIPS 2020
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding NIPS 2020
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning NIPS 2020
Continuous Meta-Learning without Tasks NIPS 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods NIPS 2020