conftrace_
← Learning Types
Machine Learning › Learning Types ›

Ensemble Learning

433 papers

Papers per year

1
3
5
5
34
55
'00
'05
'10
'15
'20
'25

Papers

Constrained Interacting Submodular Groupings ICML 2018
Ensemble Soft-Margin Softmax Loss for Image Classification IJCAI 2018
Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method IJCAI 2018
An Information Theory based Approach to Multisource Clustering IJCAI 2018
Adaboost with Auto-Evaluation for Conversational Models IJCAI 2018
Ensemble Neural Relation Extraction with Adaptive Boosting IJCAI 2018
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation JMLR 2018
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation NAACL 2018
AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets SEMEVAL 2018
LightGBM: A Highly Efficient Gradient Boosting Decision Tree NIPS 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NIPS 2017
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors ACML 2017
What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors CVPR 2017
Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features CVPR 2017
Confident Multiple Choice Learning ICML 2017
Forest-type Regression with General Losses and Robust Forest ICML 2017
Exclusivity Regularized Machine: A New Ensemble SVM Classifier IJCAI 2017
Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach IJCAI 2017
Combining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising IJCNLP 2017
An Ensemble Method with Sentiment Features and Clustering Support IJCNLP 2017
MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal Prediction IJCNLP 2017
Multi-Target Ensemble Learning for Monaural Speech Separation INTERSPEECH 2017
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning JMLR 2017
SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification SEMEVAL 2017
TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier SEMEVAL 2017