• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Yandex Laboratory

Proceedings of the First Workshop on Performance and Interpretability Evaluations of Multimodal, Multipurpose, Massive-Scale Models (MMMPIE 2022)

Razzhigaev A., Voronov A., Kaznacheev A. et al.

International Conference on Computational Linguistics, 2022.

Many heads but one brain: FusionBrain – a single multimodal multitask architecture and a competition

D. D. Bakshandaeva, Dimitrov D. V., Arkhipkin V. S. et al.

Computer Optics. 2023. Vol. 47. No. 1. P. 185-195.

Book chapter
On Embeddings for Numerical Features in Tabular Deep Learning

Gorishniy Y., Ivan Rubachev, Babenko A.

In bk.: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022. Curran Associates, Inc., 2022. Ch. 1. P. 24991-25004.

Yandex Laboratory is a research unit of the Faculty of Computer Science, HSE University, created in cooperation with Yandex Research.

The lab conducts research on the following topics:

  • Computer Vision
  • Natural Language Processing;
  • Probabilistic Machine Learning;
  • Graph Machine Learning
  • Scalable and Distributed Deep Learning


17 Articles by Researchers of HSE Faculty of Computer Science Accepted at NeurIPS

In 2022, 17 articles by the researchers of HSE Faculty of Computer Science were accepted at the NeurIPS (Conference and Workshop on Neural Information Processing Systems), one of the world’s most prestigious events in the field of machine learning and artificial intelligence. The 36th conference will be held in a hybrid format from November 28th to December 9th in New Orleans (USA).

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.

More news