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Meta-Learning

722 directly classified papers

Papers per year

Papers

Large-Scale Evolution of Image Classifiers ICML 2017
Progressive Neural Networks for Transfer Learning in Emotion Recognition INTERSPEECH 2017
Evolving Recurrent Neural Networks That Process and Classify Raw Audio in a Streaming Fashion INTERSPEECH 2017
Learning to Model the Tail NIPS 2017
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA JMLR 2017
One-Shot Visual Imitation Learning via Meta-Learning CORL 2017
A Meta-Learning Perspective on Cold-Start Recommendations for Items NIPS 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017
A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016
Efficient Representations for Lifelong Learning and Autoencoding COLT 2015
Algorithm selection by rational metareasoning as a model of human strategy selection NIPS 2014
PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014
Optimizing Instructional Policies NIPS 2013
Bayesian Hierarchical Reinforcement Learning NIPS 2012
A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012
Learning to Learn with Compound HD Models NIPS 2011
Graph-Valued Regression NIPS 2010
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NIPS 2010
Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010
On Herding and the Perceptron Cycling Theorem NIPS 2010
Evolutionary Model Type Selection for Global Surrogate Modeling JMLR 2009
Structure Learning in Human Sequential Decision-Making NIPS 2008