Methods › General › Semi-Supervised Learning Methods › SPL

Semi-Pseudo-Label

SPL

45 papers tagged archive 2025-07-28

Introduced by Tamas Matuszka et al. in A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations

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

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 45, 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.

Tasks archive 2025-07-28

20 shown of 56 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Visual Navigation7
Object5
Vision and Language Navigation5
Language Modeling4
Language Modelling4
Large Language Model3
Navigate3
Computational Efficiency2
Cross-Modal Retrieval2
Decision Making2
Denoising2
Hallucination2
Object Detection2
Reinforcement Learning (RL)2
Representation Learning2
Retrieval2
Self-Supervised Learning2
Transfer Learning2
object-detection2
3D Object Detection1

Usage over time archive 2025-07-28

Papers per year tagged with SPL: 2022 to 2025, peak 13 13 0 2022: 9 papers 2022 2023: 13 papers 2023 2024: 13 papers 2024 2025: 10 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (45 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

Semi-Supervised Learning Methods

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