Artificial Intelligence

    

Breaking Free from the Stability-Plasticity Dilemma with Incremental Domain Inference on Sequential Data

Authors: Romain Mouret

We make the case for identifying the input domain prior to running downstream models and propose an architecture that opens the door to lifelong learning systems that forget at a decreasing rate as the tasks grow in complexity. Our model accurately identifies domains and is compatible with other continual learning algorithms, provided they benefit from knowing the current domain beforehand.

Comments: 5 Pages.

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Submission history

[v1] 2021-07-22 18:37:33

Unique-IP document downloads: 353 times

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