Ensemble Methods

Estimation and Inference with Trees and Forests in High Dimensions COLT 2020 Joints in Random Forests NeurIPS 2020 Learning from Weak-Label Data: A Deep Forest Expedition AAAI 2020 LIBRE: Learning Interpretable Boolean Rule Ensembles AISTATS 2020 Lijunyi at SemEval-2020 Task 4: An ALBERT Model Based Maximum Ensemble with Different Training Sizes and Depths for Commonsense Validation and Explanation SemEval 2020 Linear Neural Parsing and Hybrid Enhancement for Enhanced Universal Dependencies ACL 2020 LTG-ST at NADI Shared Task 1: Arabic Dialect Identification using a Stacking Classifier COLING 2020 Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning ICML 2020 Mixtures of Deep Neural Experts for Automated Speech Scoring Interspeech 2020 Nova-Wang at SemEval-2020 Task 12: OffensEmblert: An Ensemble ofOffensive Language Classifiers SemEval 2020 PSForest: Improving Deep Forest via Feature Pooling and Error Screening ACML 2020 PublishInCovid19 at WNUT 2020 Shared Task-1: Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings EMNLP 2020 Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success JMLR 2020 RTM Ensemble Learning Results at Quality Estimation Task EMNLP 2020 SnapBoost: A Heterogeneous Boosting Machine NeurIPS 2020 Sparse Projection Oblique Randomer Forests JMLR 2020 Spoofing Attack Detection Using the Non-Linear Fusion of Sub-Band Classifiers Interspeech 2020 SU-NLP at WNUT-2020 Task 2: The Ensemble Models EMNLP 2020 The Diversified Ensemble Neural Network NeurIPS 2020 The Tree Ensemble Layer: Differentiability meets Conditional Computation ICML 2020 ThunderGBM: Fast GBDTs and Random Forests on GPUs JMLR 2020 A Debiased MDI Feature Importance Measure for Random Forests NeurIPS 2019 Arabic Named Entity Recognition: What Works and What’s Next ACL 2019 BrainEE at SemEval-2019 Task 3: Ensembling Linear Classifiers for Emotion Prediction SemEval 2019 CLaC at CLPsych 2019: Fusion of Neural Features and Predicted Class Probabilities for Suicide Risk Assessment Based on Online Posts NAACL 2019