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Core Methods
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Ensemble Learning
98 directly classified papers
Papers per year
2007: 3
2008: 1
2009: 2
2010: 1
2011: 3
2012: 2
2013: 5
2014: 1
2015: 2
2016: 2
2017: 4
2018: 3
2019: 6
2020: 7
2021: 5
2022: 10
2023: 14
2024: 9
2025: 17
2026: 1
Papers
A Stacking-based Efficient Method for Toxic Language Detection on Live Streaming Chat
EMNLP 2022
Machine Unlearning for Random Forests
ICML 2021
Histogram Transform Ensembles for Large-scale Regression
JMLR 2021
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects
AISTATS 2021
Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
EMNLP 2021
Challenges and Opportunities of Building Fast GBDT Systems
IJCAI 2021
Combining ResNet and Transformer for Chinese Grammatical Error Diagnosis
AACL 2020
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles
AISTATS 2020
Enriched mixtures of generalised Gaussian process experts
AISTATS 2020
TMUOU Submission for WMT20 Quality Estimation Shared Task
EMNLP 2020
Predictive inference is free with the jackknife+-after-bootstrap
NIPS 2020
Towards Convergence Rate Analysis of Random Forests for Classification
NIPS 2020
Smooth And Consistent Probabilistic Regression Trees
NIPS 2020
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
NIPS 2019
Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions
AAAI 2019
Faster Boosting with Smaller Memory
NIPS 2019
Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling
ACL 2019
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System
AAAI 2019
CLER: Cross-task Learning with Expert Representation to Generalize Reading and Understanding
EMNLP 2019
AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets
SEMEVAL 2018
Constrained Interacting Submodular Groupings
ICML 2018
An Information Theory based Approach to Multisource Clustering
IJCAI 2018
What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors
CVPR 2017
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
NIPS 2017
Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features
CVPR 2017
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