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Ensemble Learning

188 papers

Papers per year

30
27
'20
'25

Papers

AdaGAN: Boosting Generative Models NIPS 2017
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks CVPR 2017
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis EMNLP 2017
Unfolding and Shrinking Neural Machine Translation Ensembles EMNLP 2017
Confident Multiple Choice Learning ICML 2017
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles NIPS 2016
Swapout: Learning an ensemble of deep architectures NIPS 2016
Ensemble Learning for Multi-Source Neural Machine Translation COLING 2016
Hedged Deep Tracking CVPR 2016
Alternating Decision Forests CVPR 2013
Ensemble Video Object Cut in Highly Dynamic Scenes CVPR 2013
Ensemble Learning for Confidence Measures in Stereo Vision CVPR 2013
Boosting Algorithms for Maximizing the Soft Margin NIPS 2007