Methods › General › Active Learning › CEAL
Compute-Efficient Active Learning
CEAL
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The motivation of this work is based on the hypothesis that historical values of the acquisition function are good predictors of their future values. This idea is quite intuitive. For example, once a model is certain about its predictions on a given sample, this fact is unlikely to change. This can be explained by the randomness in the training, especially when using small acquisition sizes.
Papers archive 2025-07-28
The archive tags no paper with this method.
Tasks archive 2025-07-28
The archive attaches no task to a paper tagged with this method.
Usage over time archive 2025-07-28
No dated papers to chart.
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
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections