A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels. (arXiv:2011.12906v3 [cs.CV] UPDATED)

In open-world learning, an agent starts with a set of known classes, detects,
and manages things that it does not know, and learns them over time from a
non-stationary stream of data. Open-world learning is related to but also
distinct from a multitude of other learning problems and this paper briefly
analyzes the key differences between a wide range of problems including
incremental learning, generalized novelty discovery, and generalized zero-shot
learning. This paper formalizes various open-world learning problems including
open-world …

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