Akim Tsvigun
- Akim Tsvigun has been at HSE University since 2020.
Responsibilities
Hold seminars in "Machine Learning-1", "Machine Learning-2", and "Introduction to Deep Learning" courses.
Education
- 2020
Bachelor's
HSE University 2020
Bachelor's in Mathematical Methods in Economics
HSE University, Economics
Courses (2022/2023)
- Introduction to Deep Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-3 module)Eng
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Research Seminar "Applied problems of data analysis" (Master’s programme; Faculty of Computer Science; 2 year, 1 module)Rus
- Past Courses
Courses (2021/2022)
- Introduction to Deep Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-3 module)Eng
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
Courses (2020/2021)
- Introduction to Deep Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-3 module)Eng
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
Publications2
- Chapter Tsvigun A., Shelmanov A., Kuzmin G., Sanochkin L., Larionov D., Gusev G., Avetisyan M., Zhukov L. E. Towards Computationally Feasible Deep Active Learning, in: Findings of the Association for Computational Linguistics: NAACL 2022. Seattle : Association for Computational Linguistics, 2022. P. 1198-1218. doi
- Chapter Vazhentsev A., Kuzmin G., Shelmanov A., Tsvigun A., Zhukov L. E. Uncertainty Estimation of Transformer Predictions for Misclassification Detection, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Vol. 1: Long Papers. Association for Computational Linguistics, 2022. P. 8237-8252. doi