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Alexey Zaytsev

4 papers hereh-index 13 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG2
same name
  • Alexey Zaytsev — 28 papers, h 13
  • Alexey Zaytsev — 7 papers, h 3
  • Alexey Zaytsev — 6 papers, h 2
  • Alexey Zaytsev — 6 papers, h 1
  • Alexey Zaytsev — 6 papers, h 1
  • Alexey Zaytsev — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedBeyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

Uncertainty Estimation for the Open-Set Text Classification systems

Leonid Erlygin, Alexey Zaytsev

Accurate uncertainty estimation is essential for building robust and trustworthy recognition systems. In this paper, we consider the open-set text classification (OSTC) task - and…

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…

cs.CL2023

Machine Translation Models Stand Strong in the Face of Adversarial Attacks

Pavel Burnyshev, Elizaveta Kostenok, Alexey Zaytsev

Adversarial attacks expose vulnerabilities of deep learning models by introducing minor perturbations to the input, which lead to substantial alterations in the output. Our researc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.