Meta-Learning

Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks EMNLP 2019 K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning ICLR 2019 Learning a Meta-Solver for Syntax-Guided Program Synthesis ICLR 2019 Learning How to Active Learn by Dreaming ACL 2019 Learning Latent Plans from Play CoRL 2019 Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning ICLR 2019 Learning to Design RNA ICLR 2019 Learning to Generalize from Sparse and Underspecified Rewards ICML 2019 Learning to Learn By Self-Critique NeurIPS 2019 Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning CVPR 2019 Learning to Learn Image Classifiers With Visual Analogy CVPR 2019 Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference ICLR 2019 Learning to Optimize in Swarms NeurIPS 2019 Learning to Propagate for Graph Meta-Learning NeurIPS 2019 Learning to Self-Train for Semi-Supervised Few-Shot Classification NeurIPS 2019 Learning What and Where to Transfer ICML 2019 MAME : Model-Agnostic Meta-Exploration CoRL 2019 Meta Architecture Search NeurIPS 2019 Meta-Curvature NeurIPS 2019 Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NeurIPS 2019 Metalearned Neural Memory NeurIPS 2019 Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset CVPR 2019 Meta Learning for Hyperparameter Optimization in Dialogue System Interspeech 2019 Meta Learning for Image Captioning AAAI 2019 Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems IJCAI 2019