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Ensemble Learning

482 papers

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Papers

Combining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising IJCNLP 2017 Confident Multiple Choice Learning ICML 2017 Exclusivity Regularized Machine: A New Ensemble SVM Classifier IJCAI 2017 Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features CVPR 2017 Forest-type Regression with General Losses and Robust Forest ICML 2017 Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning JMLR 2017 Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach IJCAI 2017 LightGBM: A Highly Efficient Gradient Boosting Decision Tree NeurIPS 2017 MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal Prediction IJCNLP 2017 Multi-Target Ensemble Learning for Monaural Speech Separation Interspeech 2017 SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification SemEval 2017 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier SemEval 2017 What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors CVPR 2017 Logistic Boosting Regression for Label Distribution Learning CVPR 2016 mlr: Machine Learning in R JMLR 2016 Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests JMLR 2016 Sequence Student-Teacher Training of Deep Neural Networks Interspeech 2016 Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles NeurIPS 2016 Swapout: Learning an ensemble of deep architectures NeurIPS 2016 A Randomized Ensemble Approach to Industrial CT Segmentation ICCV 2015 DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015 Efficient and Robust Automated Machine Learning NeurIPS 2015 Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables ICCV 2015 Learning to Propose Objects CVPR 2015