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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Learning feed-forward one-shot learners NIPS 2016
On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments ICML 2015
Efficient and Robust Automated Machine Learning NIPS 2015
Reactive bandits with attitude AISTATS 2015
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective CVPR 2014
Algorithm selection by rational metareasoning as a model of human strategy selection NIPS 2014
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations ICML 2014
Thompson Sampling in Switching Environments with Bayesian Online Change Detection AISTATS 2013
Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013
Collaborative hyperparameter tuning ICML 2013
Deep Gaussian Processes AISTATS 2013
A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012
Learning to Learn with Compound HD Models NIPS 2011
How Do Humans Teach: On Curriculum Learning and Teaching Dimension NIPS 2011
Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques JMLR 2009
Translated Learning: Transfer Learning across Different Feature Spaces NIPS 2008
Structure Learning in Human Sequential Decision-Making NIPS 2008
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007
The On-Line Shortest Path Problem Under Partial Monitoring JMLR 2007
Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning NIPS 2006
Algorithmic Stability and Meta-Learning JMLR 2005
Relational Learning as Search in a Critical Region JMLR 2003