Садртдинов Ильдус Рустемович

Professional Interests

machine learning deep learning Self-supervised learning

Awards and Accomplishments

Best Teacher — 2023–2024
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2022)

Postgraduate Studies

3rd year of study
Approved topic of thesis: Loss Landscapes of Deep Neural Networks When Fine-tunning from a Pre-trained Model
Academic Supervisor: Dmitry Vetrov

Courses (2023/2024)

Deep Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1 module)Rus
Deep Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 4 module)Rus
Deep Learning (Mago-Lego; 4 module)Rus
Deep Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 2, 3 module)Eng
Past Courses

7

Dec

2023

‘Every Article on NeurIPS Is Considered a Significant Result’

Staff members of the HSE Faculty of Computer Science will present 12 of their works at the 37th Conference and Workshop on Neural Information Processing Systems (NeurIPS), one of the most significant events in the field of artificial intelligence and machine learning. This year it will be held on December 10–16 in New Orleans (USA).

Ildus Sadrtdinov