Methods › General › Activation Functions › Margin ReLU

Margin Rectified Linear Unit

Margin ReLU

2 papers tagged archive 2025-07-28

Introduced by Byeongho Heo et al. in A Comprehensive Overhaul of Feature Distillation

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

Margin Rectified Linear Unit, or Margin ReLU, is a type of activation function based on a ReLU, but it has a negative threshold for negative values instead of a zero threshhold.

PaperSource

Papers archive 2025-07-28

2 shown of 2, 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

13 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
Knowledge Distillation2
Object Detection2
object-detection2
Domain Adaptation1
General Classification1
Image Classification1
Mamba1
Object1
Position1
Semantic Segmentation1
State Space Models1
Unsupervised Domain Adaptation1
image-classification1

Usage over time archive 2025-07-28

Papers per year tagged with Margin ReLU: 2019 to 2025, peak 1 1 0 2019: 1 paper 2019 2020: 0 papers 2020 2021: 0 papers 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 0 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (2 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

Activation Functions

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