2 citations · 3 across the 6 of their papers we have counts for
6 papers
Image Vectorization: a Review
Maria Dziuba, Ivan Jarsky, Valeria Efimova +1
Nowadays, there are many diffusion and autoregressive models that show impressive results for generating images from text and other input domains. However, these methods are not in…
Neural Style Transfer for Vector Graphics
Valeria Efimova, Artyom Chebykin, Ivan Jarsky +2
Neural style transfer draws researchers' attention, but the interest focuses on bitmap images. Various models have been developed for bitmap image generation both online and offlin…
Multi-step domain adaptation by adversarial attack to -divergence
Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov
Adversarial examples are transferable between different models. In our paper, we propose to use this property for multi-step domain adaptation. In unsupervised domain adaptation se…
Easy Batch Normalization
Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov
It was shown that adversarial examples improve object recognition. But what about their opposite side, easy examples? Easy examples are samples that the machine learning model clas…
Reinforcement-based Simultaneous Algorithm and its Hyperparameters Selection
Valeria Efimova, Andrey Filchenkov, Anatoly Shalyto
Many algorithms for data analysis exist, especially for classification problems. To solve a data analysis problem, a proper algorithm should be chosen, and also its hyperparameters…
Reinforcement Learning Approach for Parallelization in Filters Aggregation Based Feature Selection Algorithms
Ivan Smetannikov, Ilya Isaev, Andrey Filchenkov
One of the classical problems in machine learning and data mining is feature selection. A feature selection algorithm is expected to be quick, and at the same time it should show h…