ensemble learning

The Power of Ensembles for Active Learning in Image Classification CVPR 2018 The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018 EMNLP 2018 The University of Cambridge’s Machine Translation Systems for WMT18 EMNLP 2018 The University of Edinburgh’s Submissions to the WMT18 News Translation Task EMNLP 2018 The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18 EMNLP 2018 To Tune or Not to Tune the Number of Trees in Random Forest JMLR 2018 Translating a Math Word Problem to a Expression Tree EMNLP 2018 UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models EMNLP 2018 UIUC at SemEval-2018 Task 1: Recognizing Affect with Ensemble Models SemEval 2018 When do random forests fail? NeurIPS 2018 YNU_AI1799 at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge of Different model ensemble SemEval 2018 YNU_Deep at SemEval-2018 Task 11: An Ensemble of Attention-based BiLSTM Models for Machine Comprehension SemEval 2018 YNU-HPCC at SemEval-2018 Task 12: The Argument Reasoning Comprehension Task Using a Bi-directional LSTM with Attention Model SemEval 2018 Zewen at SemEval-2018 Task 1: An Ensemble Model for Affect Prediction in Tweets SemEval 2018 Age Group Classification with Speech and Metadata Multimodality Fusion EACL 2017 A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis EMNLP 2017 An Ensemble Method with Sentiment Features and Clustering Support IJCNLP 2017 A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency ICML 2017 Attentive Language Models IJCNLP 2017 BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks CVPR 2017 Confident Multiple Choice Learning ICML 2017 Deep Forest: Towards An Alternative to Deep Neural Networks IJCAI 2017 Distilling Knowledge from an Ensemble of Models for Punctuation Prediction Interspeech 2017 Domain Attention with an Ensemble of Experts ACL 2017 Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift IJCAI 2017