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ensemble learning

1271 papers

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EL

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text classification (6776) ensemble method (560) transformer model (1988) transfer learning (5442) data augmentation (3037) sentiment analysis (2079) large language model (12755) neural network (6616) language model (4573) multi-label classification (1004)

Papers

Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014
A Bayesian Framework for Online Classifier Ensemble ICML 2014
Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications ICML 2014
Theoretical Analyses on Ensemble and Multiple Kernel Regressors ACML 2014
Deep Boosting ICML 2014
Ranking Forests JMLR 2013
Human Boosting ICML 2013
Semi-supervised Node Splitting for Random Forest Construction CVPR 2013
Collaborative Active Learning of a Kernel Machine Ensemble for Recognition ICCV 2013
Randomized Ensemble Tracking ICCV 2013
Ensemble Learning for Confidence Measures in Stereo Vision CVPR 2013
Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training ICML 2013
Alternating Decision Forests CVPR 2013
Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve ICCV 2013
Random Forests of Local Experts for Pedestrian Detection ICCV 2013
Discriminative Subspace Clustering CVPR 2013
Decision Jungles: Compact and Rich Models for Classification NIPS 2013
Sieving Regression Forest Votes for Facial Feature Detection in the Wild ICCV 2013
Understanding variable importances in forests of randomized trees NIPS 2013
Reservoir Boosting : Between Online and Offline Ensemble Learning NIPS 2013
Direct 0-1 Loss Minimization and Margin Maximization with Boosting NIPS 2013
Multilabel Classification through Random Graph Ensembles ACML 2013
Alternating Regression Forests for Object Detection and Pose Estimation ICCV 2013
Quickly Boosting Decision Trees – Pruning Underachieving Features Early ICML 2013
Ensemble Projection for Semi-supervised Image Classification ICCV 2013