Methods › General › Adaptive Computation › PonderNet

PonderNet

3 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

PonderNet is an adaptive computation method that learns to adapt the amount of computation based on the complexity of the problem at hand. PonderNet learns end-to-end the number of computational steps to achieve an effective compromise between training prediction accuracy, computational cost and generalization.

Source: PonderNet: Learning to Ponder

Papers archive 2025-07-28

3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

PALBERT: Teaching ALBERT to Ponder
7 Apr 2022 · 1 repository · arXiv:2204.03276

Syntology ran 1 of 2 samples · 1 unverified
PALBERT: Teaching ALBERT to Ponder
16 Nov 2021 · 0 repositories
PonderNet: Learning to Ponder
12 Jul 2021 · 4 repositories · arXiv:2107.05407

Syntology ran 10 of 10 samples · 0 unverified · 1 pointer-only (licence)

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
Question Answering	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (3 dated). Bars are counts, not a trend claim.

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

Adaptive Computation

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