Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

ICLR 2020 Martin MundtSagnik MajumderIuliia PliushchVisvanathan Ramesh

We introduce a probabilistic approach to unify deep continual learning with open set recognition, based on variational Bayesian inference. Our single model combines a joint probabilistic encoder with a generative model and a linear classifier that get shared across sequentially arriving tasks... (read more)

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