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cs.LG2024
Uniting contrastive and generative learning for event sequences models
Aleksandr Yugay, Alexey Zaytsev
High-quality representation of transactional sequences is vital for modern banking applications, including risk management, churn prediction, and personalized customer offers. Diff…
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…