20 citations · 44 across the 6 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 2 cited
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control
Rika Antonova, Maksim Maydanskiy, Danica Kragic +2
We address the problem of learning reusable state representations from streaming high-dimensional observations. This is important for areas like Reinforcement Learning (RL), which…
cs.CV2020★ 3 cited
Inability of spatial transformations of CNN feature maps to support invariant recognition
Ylva Jansson, Maksim Maydanskiy, Lukas Finnveden +1
A large number of deep learning architectures use spatial transformations of CNN feature maps or filters to better deal with variability in object appearance caused by natural imag…