classifier ensemble

Distributional Surgery for Language Model Activations EMNLP 2025 Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset ACL 2025 Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation EMNLP 2024 Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference AAAI 2023 Meta-forests: Domain generalization on random forests with meta-learning ACML 2023 DNA: Domain Generalization with Diversified Neural Averaging ICML 2022 Mixtures of Deep Neural Experts for Automated Speech Scoring Interspeech 2020 Stochastic Classifiers for Unsupervised Domain Adaptation CVPR 2020 Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA ACML 2019 Pareto Optimal Streaming Unsupervised Classification ICML 2019 Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers NeurIPS 2019 CTSys at SemEval-2018 Task 3: Irony in Tweets SemEval 2018 Efficient Diverse Ensemble for Discriminative Co-Tracking CVPR 2018 German Dialect Identification Using Classifier Ensembles COLING 2018 NTNU at SemEval-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers SemEval 2018 Exclusivity Regularized Machine: A New Ensemble SVM Classifier IJCAI 2017 Exploring Fusion Methods and Feature Space for the Classification of Paralinguistic Information Interspeech 2017 Optimally Combining Classifiers Using Unlabeled Data COLT 2015 A Bayesian Framework for Online Classifier Ensemble ICML 2014 Handling Occlusions with Franken-Classifiers ICCV 2013 Randomized Ensemble Tracking ICCV 2013 Active Classification based on Value of Classifier NeurIPS 2011 Overlaying classifiers: a practical approach for optimal ranking NeurIPS 2008 PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007 A PAC-Bayes Risk Bound for General Loss Functions NeurIPS 2006