Ensemble Methods

Pycobra: A Python Toolbox for Ensemble Learning and Visualisation JMLR 2018 Stacking with Auxiliary Features for Visual Question Answering NAACL 2018 Team GESIS Cologne: An all in all sentence-based approach for FEVER EMNLP 2018 The Whole is Greater than the Sum of its Parts: Towards the Effectiveness of Voting Ensemble Classifiers for Complex Word Identification NAACL 2018 Translating a Math Word Problem to a Expression Tree EMNLP 2018 When do random forests fail? NeurIPS 2018 Age Group Classification with Speech and Metadata Multimodality Fusion EACL 2017 Combining Global Models for Parsing Universal Dependencies CoNLL 2017 DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis SemEval 2017 ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models SemEval 2017 Exclusivity Regularized Machine: A New Ensemble SVM Classifier IJCAI 2017 IBA-Sys at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News SemEval 2017 INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis SemEval 2017 Integrating Specialized Classifiers Based on Continuous Time Markov Chain IJCAI 2017 Label Distribution Learning Forests NeurIPS 2017 NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis SemEval 2017 One Class Splitting Criteria for Random Forests ACML 2017 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic SemEval 2017 Analytical Assessment of Dual-Stream Merging for Noise-Robust ASR Interspeech 2016 An ensemble diversity approach to supervised binary hashing NeurIPS 2016 Bootstrap Model Aggregation for Distributed Statistical Learning NeurIPS 2016 Ensemble Learning for Multi-Source Neural Machine Translation COLING 2016 Fast and Flexible Monotonic Functions with Ensembles of Lattices NeurIPS 2016 HyperDepth: Learning Depth From Structured Light Without Matching CVPR 2016