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Meta-Learning

722 directly classified papers

Papers per year

Papers

Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021
AutoBandit: A Meta Bandit Online Learning System IJCAI 2021
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning IJCAI 2021
Learning Fast and Robust Target Models for Video Object Segmentation CVPR 2020
ROAM: Recurrently Optimizing Tracking Model CVPR 2020
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ICML 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020
Learning to Learn Kernels with Variational Random Features ICML 2020
What Can Learned Intrinsic Rewards Capture? ICML 2020
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020
How Should an Agent Practice? AAAI 2020
Meta-Amortized Variational Inference and Learning AAAI 2020
Regularized Fine-Grained Meta Face Anti-Spoofing AAAI 2020
Learning to Optimize on SPD Manifolds CVPR 2020
Online Parameter-Free Learning of Multiple Low Variance Tasks UAI 2020
Multigrid Neural Memory ICML 2020
Meta-Learning with Shared Amortized Variational Inference ICML 2020
Neural Architecture Search in A Proxy Validation Loss Landscape ICML 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions ICML 2020
Self-Supervised Tuning for Few-Shot Segmentation IJCAI 2020
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning IJCAI 2020