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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Meta Segmentation Network for Ultra-Resolution Medical Images IJCAI 2020
Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition IJCAI 2020
On the Global Optimality of Model-Agnostic Meta-Learning ICML 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches NIPS 2020
MetaSDF: Meta-Learning Signed Distance Functions NIPS 2020
Semi-Supervised Neural Architecture Search NIPS 2020
Sequential Transfer in Reinforcement Learning with a Generative Model ICML 2020
Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials AAAI 2020
Robustifying Sequential Neural Processes ICML 2020
Online Parameter-Free Learning of Multiple Low Variance Tasks UAI 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NIPS 2020
Corruption-Tolerant Gaussian Process Bandit Optimization AISTATS 2020
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms AISTATS 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization AISTATS 2020
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning AISTATS 2020
Hypernetwork approach to generating point clouds ICML 2020
Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching AAAI 2020
Meta-learning with Stochastic Linear Bandits ICML 2020
Look-ahead Meta Learning for Continual Learning NIPS 2020
Gaussian Gated Linear Networks NIPS 2020
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding NIPS 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CORL 2020
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning IJCAI 2020
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning AAAI 2020
M-NAS: Meta Neural Architecture Search AAAI 2020