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Ensemble Learning
347 directly classified papers
Papers per year
2000: 1
2002: 2
2004: 2
2005: 3
2006: 4
2007: 8
2008: 2
2009: 4
2010: 4
2011: 7
2012: 1
2013: 9
2014: 13
2015: 3
2016: 4
2017: 12
2018: 16
2019: 23
2020: 27
2021: 29
2022: 46
2023: 47
2024: 37
2025: 42
2026: 1
Papers
Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions
JMLR 2019
SINAI at SemEval-2019 Task 5: Ensemble learning to detect hate speech against inmigrants and women in English and Spanish tweets
SEMEVAL 2019
The MLLP-UPV German-English Machine Translation System for WMT18
EMNLP 2018
NICT’s Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task
EMNLP 2018
Ensemble Soft-Margin Softmax Loss for Image Classification
IJCAI 2018
Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method
IJCAI 2018
Adaboost with Auto-Evaluation for Conversational Models
IJCAI 2018
Ensemble Neural Relation Extraction with Adaptive Boosting
IJCAI 2018
CatBoost: unbiased boosting with categorical features
NIPS 2018
Efficient Diverse Ensemble for Discriminative Co-Tracking
CVPR 2018
The Power of Ensembles for Active Learning in Image Classification
CVPR 2018
Diverse Ensemble Evolution: Curriculum Data-Model Marriage
NIPS 2018
Ensemble of Translators with Automatic Selection of the Best Translation – the submission of FOKUS to the WMT 18 biomedical translation task –
EMNLP 2018
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets
EMNLP 2018
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
NAACL 2018
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation
JMLR 2018
EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets
EMNLP 2018
UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models
EMNLP 2018
MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal Prediction
IJCNLP 2017
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
JMLR 2017
Forest-type Regression with General Losses and Robust Forest
ICML 2017
An Ensemble Method with Sentiment Features and Clustering Support
IJCNLP 2017
TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier
SEMEVAL 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
NIPS 2017
Exclusivity Regularized Machine: A New Ensemble SVM Classifier
IJCAI 2017
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