Methods › General › Self-Supervised Learning › NPID++
NPID++
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
NPID++ (Non-Parametric Instance Discrimination) is a self-supervision approach that takes a non-parametric classification approach. It approves upon NPID by using more negative samples and training for more epochs.
Papers archive 2025-07-28
1 shown of 1, 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.
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Self-Supervised Learning of Pretext-Invariant Representations 4 Dec 2019 · 7 repositories · arXiv:1912.01991Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
Tasks archive 2025-07-28
7 tasks 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 |
|---|---|
| Contrastive Learning | 1 |
| Object Detection | 1 |
| Representation Learning | 1 |
| Self-Supervised Image Classification | 1 |
| Self-Supervised Learning | 1 |
| Semi-Supervised Image Classification | 1 |
| object-detection | 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
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