Ildus Sadrtdinov
- Doctoral Student: Faculty of Computer Science / Big Data and Information Retrieval School
- Language Proficiency
- English
- Contacts
- Phone:
27252 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S822
- ORCID: 0009-0000-1295-6091
- ResearcherID: A-0000-0000
- Google Scholar
- Supervisors
- K. Struminsky
- E. Sokolov
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Awards and Accomplishments
Best Teacher — 2023–2024
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2022)
Postgraduate Studies
2nd 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
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
Courses (2022/2023)
- Deep Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 4 module)Rus
- Deep Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1-3 module)Eng
- Research Seminar "Applied problems of data analysis" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1 module)Rus
- Self-supervised Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 3 module)Rus
Courses (2021/2022)
- How to Win a Data Science Competition: Learn from Top Kagglers (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 2, 3 module)Eng
- Introduction to Deep Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1-3 module)Eng
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Bachelor’s programme; Faculty of Management field of study Software Engineering, field of study Business Informatics; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1, 2 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
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).