ensemble learning

Smaller, more accurate regression forests using tree alternating optimization ICML 2020 Sparse Mixture of Local Experts for Efficient Speech Enhancement Interspeech 2020 Sparse Projection Oblique Randomer Forests JMLR 2020 Strudel: Learning Structured-Decomposable Probabilistic Circuits PGM 2020 SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain EMNLP 2020 SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets SemEval 2020 SU-NLP at WNUT-2020 Task 2: The Ensemble Models EMNLP 2020 TAC at SemEval-2020 Task 12: Ensembling Approach for Multilingual Offensive Language Identification in Social Media SemEval 2020 Tencent Neural Machine Translation Systems for the WMT20 News Translation Task EMNLP 2020 Tencent submission for WMT20 Quality Estimation Shared Task 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 Tilde at WMT 2020: News Task Systems EMNLP 2020 TMUOU Submission for WMT20 Quality Estimation Shared Task EMNLP 2020 Topic-driven Ensemble for Online Advertising Generation COLING 2020 Towards Convergence Rate Analysis of Random Forests for Classification NeurIPS 2020 Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs ACL 2020 Towards More Accurate Uncertainty Estimation In Text Classification EMNLP 2020 Transductive Ensemble Learning for Neural Machine Translation AAAI 2020 Transformers at SemEval-2020 Task 11: Propaganda Fragment Detection Using Diversified BERT Architectures Based Ensemble Learning SemEval 2020 TransQuest at WMT2020: Sentence-Level Direct Assessment EMNLP 2020 TTUI at SemEval-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles SemEval 2020 UMSIForeseer at SemEval-2020 Task 11: Propaganda Detection by Fine-Tuning BERT with Resampling and Ensemble Learning SemEval 2020 Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition NeurIPS 2020