Methods › General › Optimization › SLR

Surrogate Lagrangian Relaxation

SLR

92 papers tagged archive 2025-07-28

Introduced by Deniz Gurevin et al. in Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation

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

The archive carries only a placeholder description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 92, 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 97 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
Sign Language Recognition34
Systematic Literature Review30
Transfer Learning7
Articles6
Language Modelling4
Object Detection4
Self-Supervised Learning4
Translation4
object-detection4
Action Recognition3
BIG-bench Machine Learning3
Contrastive Learning3
Deep Learning3
Domain Adaptation3
Fairness3
Image Classification3
Language Modeling3
Management3
Segmentation3
Sign Language Translation3

Usage over time archive 2025-07-28

Papers per year tagged with SLR: 2020 to 2025, peak 26 26 0 2020: 1 paper 2020 2021: 16 papers 2021 2022: 14 papers 2022 2023: 23 papers 2023 2024: 26 papers 2024 2025: 12 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (92 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

Optimization

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