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Found 4 papers, 1 papers with code
Equivariant Representation Learning in the Presence of Stabilizers
We introduce Equivariant Isomorphic Networks (EquIN) -- a method for learning representations that are equivariant with respect to general group actions over data.
Identifying the Sources of Uncertainty in Object Classification
In image-based object classification, the visual appearance of objects determines which class they are assigned to.
Semi-supervised Pose Estimation with Geometric Latent Representations
The amount of labelled data for pose estimation is relatively limited.
Anomaly Detection in a Digital Video Broadcasting System Using Timed Automata
This paper focuses on detecting anomalies in a digital video broadcasting (DVB) system from providers' perspective.
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