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Meta-Learning

973 papers

Papers per year

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122
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Papers

Make One-Shot Video Object Segmentation Efficient Again NIPS 2020
Learning Compositional Rules via Neural Program Synthesis NIPS 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NIPS 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures NIPS 2020
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning NIPS 2020
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler NIPS 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network NIPS 2020
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding NIPS 2020
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NIPS 2020
Continuous Meta-Learning without Tasks NIPS 2020
Learning to Mutate with Hypergradient Guided Population NIPS 2020
Meta-trained agents implement Bayes-optimal agents NIPS 2020
Task-Robust Model-Agnostic Meta-Learning NIPS 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CORL 2020
Accelerating and Improving AlphaZero Using Population Based Training AAAI 2020
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020
People Do Not Just Plan,They Plan to Plan AAAI 2020
How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics AAAI 2020
Learning Query Inseparable εℒℋ Ontologies AAAI 2020
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020
Residual Neural Processes AAAI 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020
Attribute Propagation Network for Graph Zero-Shot Learning AAAI 2020