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cs.CV2024
Simplified priors for Object-Centric Learning
Vihang Patil, Andreas Radler, Daniel Klotz +1
Humans excel at abstracting data and constructing \emph{reusable} concepts, a capability lacking in current continual learning systems. The field of object-centric learning address…
cs.LG2024★ 2 cited
Energy-based Hopfield Boosting for Out-of-Distribution Detection
Claus Hofmann, Simon Schmid, Bernhard Lehner +2
Out-of-distribution (OOD) detection is critical when deploying machine learning models in the real world. Outlier exposure methods, which incorporate auxiliary outlier data in the…