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

28 May 2019Martin MundtSagnik MajumderIuliia PliushchVisvanathan Ramesh

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

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