1 code implementation • 19 Oct 2023 • Daniil Tiapkin, Nikita Morozov, Alexey Naumov, Dmitry Vetrov
We demonstrate how the task of learning a generative flow network can be efficiently redefined as an entropy-regularized RL problem with a specific reward and regularizer structure.
1 code implementation • 20 Sep 2023 • Valeriy Berezovskiy, Nikita Morozov
While it is widely known that KD can offer an improvement to student generalization in i. i. d setting, its performance under domain shift, i. e. the performance of student networks on data from domains unseen during training, has received little attention in the literature.
Ranked #24 on Domain Generalization on Office-Home
1 code implementation • 21 Feb 2023 • Nikita Morozov, Denis Rakitin, Oleg Desheulin, Dmitry Vetrov, Kirill Struminsky
To generate a pixel of a novel view, it marches a ray through the pixel and computes a weighted sum of radiance emitted from a dense set of ray points.