Methods › General › Lifelong Learning › LIMix
Lifelong Infinite Mixture
LIMix
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
LIMix, or Lifelong Infinite Mixture, is a lifelong learning model which grows a mixture of models to adapt to an increasing number of tasks. LIMix can automatically expand its network architectures or choose an appropriate component to adapt its parameters for learning a new task, while preserving its previously learnt information. Knowledge is incorporated by means of Dirichlet processes by using a gating mechanism which computes the dependence between the knowledge learnt previously and stored in each component, and a new set of data. Besides, a Student model is trained which can accumulate cross-domain representations over time and make quick inferences.
Papers archive 2025-07-28
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Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process 25 Aug 2021 · 1 repository · arXiv:2108.12278
Tasks archive 2025-07-28
1 task the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Lifelong learning | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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