Ensemble Learning

Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation ACL 2022 The ARC-NKUA Submission for the English-Ukrainian General Machine Translation Shared Task at WMT22 EMNLP 2022 Transformer based ensemble for emotion detection ACL 2022 Under-bagging Nearest Neighbors for Imbalanced Classification JMLR 2022 Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback NeurIPS 2021 Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021 A Highly-Parameterized Ensemble to Play Gin Rummy AAAI 2021 Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction ACL 2021 Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics CVPR 2021 Boost Neural Networks by Checkpoints NeurIPS 2021 Devil’s Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification EMNLP 2021 DIBS: Diversity Inducing Information Bottleneck in Model Ensembles AAAI 2021 Ensembling With a Fixed Parameter Budget: When Does It Help and Why? ACML 2021 Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks AAAI 2021 ICL’s Submission to the WMT21 Critical Error Detection Shared Task EMNLP 2021 Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness AAAI 2021 Learning from others' mistakes: Avoiding dataset biases without modeling them ICLR 2021 Learning Neural Network Subspaces ICML 2021 Masksembles for Uncertainty Estimation CVPR 2021 Peer Collaborative Learning for Online Knowledge Distillation AAAI 2021 Provably Secure Federated Learning against Malicious Clients AAAI 2021 STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media EMNLP 2021 Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation EMNLP 2021 BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models EMNLP 2020 Collegial Ensembles NeurIPS 2020