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Learning Paradigms

2,054 papers (7 classified directly here)

Subtopics

Meta-Learning (973) Federated Learning (894) Curriculum Learning (202)

Papers per year

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Papers (including subtopics)

Algorithm selection by rational metareasoning as a model of human strategy selection NIPS 2014
Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective CVPR 2014
Linear and Parallel Learning of Markov Random Fields ICML 2014
PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014
Optimizing Instructional Policies NIPS 2013
Self-Paced Learning for Long-Term Tracking CVPR 2013
Practical Bayesian Optimization of Machine Learning Algorithms NIPS 2012
Bayesian Hierarchical Reinforcement Learning NIPS 2012
Distributed Probabilistic Learning for Camera Networks with Missing Data NIPS 2012
Protocols for Learning Classifiers on Distributed Data AISTATS 2012
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012
Distributed Learning, Communication Complexity and Privacy COLT 2012
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
Online Learning: Beyond Regret COLT 2011
On Herding and the Perceptron Cycling Theorem NIPS 2010
Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers NIPS 2010
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NIPS 2010
Graph-Valued Regression NIPS 2010
Self-Paced Learning for Latent Variable Models NIPS 2010
Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010
Evolutionary Model Type Selection for Global Surrogate Modeling JMLR 2009
Asynchronous Distributed Learning of Topic Models NIPS 2008
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NIPS 2008