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ensemble learning

1271 papers

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EL

Co-occurring keywords

text classification (6776) ensemble method (560) transformer model (1988) transfer learning (5442) data augmentation (3037) sentiment analysis (2079) large language model (12755) neural network (6616) language model (4573) multi-label classification (1004)

Papers

UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features SEMEVAL 2017
On the Learnability of Fully-Connected Neural Networks AISTATS 2017
What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors CVPR 2017
PKU_ICL at SemEval-2017 Task 10: Keyphrase Extraction with Model Ensemble and External Knowledge SEMEVAL 2017
Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation CORL 2017
A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency ICML 2017
ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models SEMEVAL 2017
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings SEMEVAL 2017
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers JMLR 2017
INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis SEMEVAL 2017
IBA-Sys at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News SEMEVAL 2017
ECNU at SemEval-2017 Task 5: An Ensemble of Regression Algorithms with Effective Features for Fine-Grained Sentiment Analysis in Financial Domain SEMEVAL 2017
Forest-type Regression with General Losses and Robust Forest ICML 2017
Stacking With Auxiliary Features IJCAI 2017
Domain Attention with an Ensemble of Experts ACL 2017
Attentive Language Models IJCNLP 2017
Exclusivity Regularized Machine: A New Ensemble SVM Classifier IJCAI 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NIPS 2017
Deep Forest: Towards An Alternative to Deep Neural Networks IJCAI 2017
Feature Hashing for Language and Dialect Identification ACL 2017
Confident Multiple Choice Learning ICML 2017
Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach IJCAI 2017
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning JMLR 2017
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks IJCAI 2017
An Ensemble Method with Sentiment Features and Clustering Support IJCNLP 2017