Methods › General › Self-Supervised Learning › PIRL

PIRL

8 papers tagged archive 2025-07-28

Introduced by Ishan Misra et al. in Self-Supervised Learning of Pretext-Invariant Representations

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

Pretext-Invariant Representation Learning (PIRL, pronounced as “pearl”) learns invariant representations based on pretext tasks. PIRL is used with a commonly used pretext task that involves solving jigsaw puzzles. Specifically, PIRL constructs image representations that are similar to the representation of transformed versions of the same image and different from the representations of other images.

Paper Source

Papers archive 2025-07-28

8 shown of 8, 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.

Physics-Guided Actor-Critic Reinforcement Learning for Swimming in Turbulence
5 Jun 2024 · 0 repositories · arXiv:2406.10242
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
5 Sep 2023 · 0 repositories · arXiv:2309.01909
Synthesizing Programmatic Policies with Actor-Critic Algorithms and ReLU Networks
4 Aug 2023 · 0 repositories · arXiv:2308.02729
Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning
11 Jun 2023 · 1 repository · arXiv:2306.06766

Syntology ran 1 of 3 samples · 2 unverified
Self-Supervised Learning for Fine-Grained Visual Categorization
18 May 2021 · 1 repository · arXiv:2105.08788
How Well Do Self-Supervised Models Transfer?
26 Nov 2020 · 1 repository · arXiv:2011.13377

Syntology ran 4 of 5 samples · 1 unverified
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
28 Jul 2020 · 0 repositories · arXiv:2007.13916
Self-Supervised Learning of Pretext-Invariant Representations
4 Dec 2019 · 7 repositories · arXiv:1912.01991

Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)

Tasks archive 2025-07-28

20 shown of 26 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
Representation Learning	4
Self-Supervised Learning	4
Object Detection	3
Reinforcement Learning	3
object-detection	3
reinforcement-learning	3
Image Classification	2
Semantic Segmentation	2
Classification	1
Classifier calibration	1
Contrastive Learning	1
Few-Shot Learning	1
Fine-Grained Image Recognition	1
Fine-Grained Visual Categorization	1
General Classification	1
Navigate	1
Object	1
Object Recognition	1
Reinforcement Learning (RL)	1
Robot Navigation	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (8 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

Self-Supervised Learning

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