teaching

Lectures on deep learning for computer vision and graphics, covering ConvNets, transformers, detection, segmentation, generative models, and neural rendering.

Lectures on NLP as part of the YSDA NLP course covering embeddings, language models, attention, transfer learning, and LLMs.

A hands-on course covering practical applications of deep learning across NLP, computer vision, and generative models.

Reading club for discussing recent influential papers in machine learning and deep learning.

Mentor for the Practical Reinforcement Learning course offered jointly by HSE University and Yandex on Coursera.