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Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S924
ORCID: 0000-0002-1830-8252
ResearcherID: M-3540-2016
Scopus AuthorID: 55365536600
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Tuesday 12pm - 02pm
I. Arzhantsev
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Artem Babenko

  • Artem Babenko has been at HSE University since 2014.

Education and Degrees

  • 2017

    Candidate of Sciences* (PhD)

  • 2012

    Moscow Institute of Physics and Technology

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

Courses (2021/2022)

Courses (2020/2021)

Reinforcement Learning (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Rus

Courses (2019/2020)

Courses (2018/2019)

Advanced Statistical Learning Theory (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Rus



  • Chapter Baranchuk D., Rubachev I., Voynov A., Khrulkov V., Babenko A. Label-Efficient Semantic Segmentation with Diffusion Models, in: Proceedings of the 10th International Conference on Learning Representations (ICLR 2022). ICLR, 2022.
  • Chapter Gorishniy Y., Ivan Rubachev, Babenko A. On Embeddings for Numerical Features in Tabular Deep Learning, in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022. Curran Associates, Inc., 2022. Ch. 1. P. 24991-25004.





Chapter Babenko A., Baranchuk D., Malkov Y. Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors, in: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings. Springer, 2018. doi P. 1-15. (in press)



Chapter Babenko A., Lempitsky V. Efficient Indexing of Billion-Scale datasets of deep descriptors, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVRP 2016). Curran Associates, Inc., 2016. P. 2055-2063.



  • Chapter Babenko A., Lempitsky V. Additive Quantization for Extreme Vector Compression, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014). Columbus : IEEE Computer Society, 2014. P. 931-938.
  • Chapter Babenko A., Slesarev A., Chigorin A., Lempitsky V. Neural Codes for Image Retrieval, in: Lecture Notes in Computer Science. Proceedings of the 13th European Conference on Computer Vision (ECCV 2014) Vol. 8689. Part 1. Zürich : Springer, 2014. P. 584-599.
  • Article Babenko A. The Inverted Multi-Index // IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. Vol. PP. No. 99. P. 1.


Chapter Babenko A., Lempitsky V. The inverted multi-index, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012). Providence : IEEE, 2012. P. 3069-3076.

Faculty Submits Ten Papers to NeurIPS 2021

35th Conference on Neural Information Processing Systems (NeurIPS 2021) is one of the world's largest conferences on machine learning and neural networks. It takes place on December 6-14, 2021.

Yandex and HSE University Open Joint Laboratory

The new laboratory will be part of the Faculty of Computer Science. The laboratory will focus on training professional researchers and conducting research in the field of data science.

The faculty presented the results of their research at the largest international machine learning conference NeurIPS

Researchers of the Faculty of Computer Science presented their papers at the annual conference of Neural Information Processing Systems (NeurIPS), which was held from 2 to 8 December 2018 in Montreal, Canada.