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Cascading Unknown Detection with Known Classification for Open Set Recognition
Deep learners tend to perform well when trained under the closed set assumption but struggle when deployed under open set conditions.
Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning
Continual learning seeks to enable deep learners to train on a series of tasks of unknown length without suffering from the catastrophic forgetting of previous tasks.
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