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Meta-Learning

973 papers

Papers per year

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Papers

Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets CORL 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning CORL 2018
Modular meta-learning CORL 2018
Predicting accuracy on large datasets from smaller pilot data ACL 2018
Low-Shot Learning From Imaginary Data CVPR 2018
Learning to Learn Semantic Parsers from Natural Language Supervision EMNLP 2018
Meta-Learning for Low-Resource Neural Machine Translation EMNLP 2018
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ICLR 2018
DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace ICML 2018
Differentiable plasticity: training plastic neural networks with backpropagation ICML 2018
Machine Theory of Mind ICML 2018
Learning to Reweight Examples for Robust Deep Learning ICML 2018
Transfer Learning via Learning to Transfer ICML 2018
Learning to Explore via Meta-Policy Gradient ICML 2018
Meta-Level Control of Anytime Algorithms with Online Performance Prediction IJCAI 2018
Lifelong Domain Word Embedding via Meta-Learning IJCAI 2018
Natural Language to Structured Query Generation via Meta-Learning NAACL 2018
Learning to Model the Tail NIPS 2017
A Meta-Learning Perspective on Cold-Start Recommendations for Items NIPS 2017
One-Shot Imitation Learning NIPS 2017
One-Shot Visual Imitation Learning via Meta-Learning CORL 2017
Gradient-free Policy Architecture Search and Adaptation CORL 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017
Large-Scale Evolution of Image Classifiers ICML 2017