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cs.LG2024★ 1 cited
Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting
Polina Proskura, Alexey Zaytsev
In machine learning, ensembles are important tools for improving the model performance. In natural language processing specifically, ensembles boost the performance of a method due…
cs.LG2022
Effective training-time stacking for ensembling of deep neural networks
Polina Proscura, Alexey Zaytsev
Ensembling is a popular and effective method for improving machine learning (ML) models. It proves its value not only in classical ML but also for deep learning. Ensembles enhance…