Meta-Learning

Learning to Learn Programs from Examples: Going Beyond Program Structure IJCAI 2017 Learning to Learn without Gradient Descent by Gradient Descent ICML 2017 Learning to Model the Tail NeurIPS 2017 Meta Networks ICML 2017 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017 Multi-Information Source Optimization NeurIPS 2017 Neural Optimizer Search with Reinforcement Learning ICML 2017 Neural Program Meta-Induction NeurIPS 2017 Online Multitask Relative Similarity Learning IJCAI 2017 Stacking With Auxiliary Features IJCAI 2017 Stochastic Rank-1 Bandits AISTATS 2017 Zap Q-Learning NeurIPS 2017 A Brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning Without Human Intervention AutoML 2016 Adaptive Smoothed Online Multi-Task Learning NeurIPS 2016 GLASSES: Relieving The Myopia Of Bayesian Optimisation AISTATS 2016 Learning feed-forward one-shot learners NeurIPS 2016 Meta-Learning with Memory-Augmented Neural Networks ICML 2016 The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NeurIPS 2016 The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour COLING 2016 Towards Automatically-Tuned Neural Networks AutoML 2016 TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning AutoML 2016 Efficient and Robust Automated Machine Learning NeurIPS 2015 On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments ICML 2015 Reactive bandits with attitude AISTATS 2015 Algorithm selection by rational metareasoning as a model of human strategy selection NeurIPS 2014