conftrace_

classifier ensemble

25 papers

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Co-occurring keywords

ensemble learning (1274) pac-bayes bound (53) bayesian inference (1907) domain generalization (1522) online learning (1777) language model (4599) risk bound (71) support vector machine (978) visual tracking (196) classifier aggregation (5)

Papers

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
Stochastic Classifiers for Unsupervised Domain Adaptation CVPR 2020
Mixtures of Deep Neural Experts for Automated Speech Scoring INTERSPEECH 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 NIPS 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
Randomized Ensemble Tracking ICCV 2013
Handling Occlusions with Franken-Classifiers ICCV 2013
Overlaying classifiers: a practical approach for optimal ranking NIPS 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 NIPS 2006
Learning Ensembles from Bites: A Scalable and Accurate Approach JMLR 2004