42 citations · 57 across the 6 of their papers we have counts for
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cs.LG2022
Temporal Alignment for History Representation in Reinforcement Learning
Aleksandr Ermolov, Enver Sangineto, Nicu Sebe
Environments in Reinforcement Learning are usually only partially observable. To address this problem, a possible solution is to provide the agent with information about the past.…
cs.CV2022★ 2 cited
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov +2
Metric learning aims to learn a highly discriminative model encouraging the embeddings of similar classes to be close in the chosen metrics and pushed apart for dissimilar ones. Th…