Meta-Learning

Predicting accuracy on large datasets from smaller pilot data ACL 2018 Probabilistic Matrix Factorization for Automated Machine Learning NeurIPS 2018 Probabilistic Model-Agnostic Meta-Learning NeurIPS 2018 Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NeurIPS 2018 Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets CoRL 2018 Task-Embedded Control Networks for Few-Shot Imitation Learning CoRL 2018 Transfer Learning via Learning to Transfer ICML 2018 A Meta-Learning Perspective on Cold-Start Recommendations for Items NeurIPS 2017 Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA JMLR 2017 Evolving Recurrent Neural Networks That Process and Classify Raw Audio in a Streaming Fashion Interspeech 2017 Gradient-free Policy Architecture Search and Adaptation CoRL 2017 Large-Scale Evolution of Image Classifiers ICML 2017 Learning to Model the Tail NeurIPS 2017 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017 One-Shot Imitation Learning NeurIPS 2017 One-Shot Visual Imitation Learning via Meta-Learning CoRL 2017 Progressive Neural Networks for Transfer Learning in Emotion Recognition Interspeech 2017 A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NeurIPS 2016 Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning ICML 2016 On Pruning with the MDL Score PGM 2016 Efficient Representations for Lifelong Learning and Autoencoding COLT 2015 Algorithm selection by rational metareasoning as a model of human strategy selection NeurIPS 2014 Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective CVPR 2014 PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014