ensemble learning

Stacking With Auxiliary Features IJCAI 2017 The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016 Interspeech 2017 TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier SemEval 2017 UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features SemEval 2017 What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors CVPR 2017 A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees AISTATS 2016 An ensemble diversity approach to supervised binary hashing NeurIPS 2016 An urn model for majority voting in classification ensembles NeurIPS 2016 Boosting with Abstention NeurIPS 2016 Chinese Preposition Selection for Grammatical Error Diagnosis COLING 2016 Convolutional Neural Fabrics NeurIPS 2016 Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition Interspeech 2016 Ensemble Learning for Multi-Source Neural Machine Translation COLING 2016 Fast and Flexible Monotonic Functions with Ensembles of Lattices NeurIPS 2016 Hedged Deep Tracking CVPR 2016 Logistic Boosting Regression for Label Distribution Learning CVPR 2016 Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests JMLR 2016 Residual Networks Behave Like Ensembles of Relatively Shallow Networks NeurIPS 2016 SemiContour: A Semi-Supervised Learning Approach for Contour Detection CVPR 2016 Sequence Student-Teacher Training of Deep Neural Networks Interspeech 2016 STCT: Sequentially Training Convolutional Networks for Visual Tracking CVPR 2016 Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles NeurIPS 2016 Swapout: Learning an ensemble of deep architectures NeurIPS 2016 Towards Automatically-Tuned Neural Networks AutoML 2016 User Classification with Multiple Textual Perspectives COLING 2016