Methods › General › Regularization › ScheduledDropPath

ScheduledDropPath

2 papers tagged archive 2025-07-28

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

ScheduledDropPath is a modified version of DropPath. In DropPath, each path in the cell is stochastically dropped with some fixed probability during training. In ScheduledDropPath, each path in the cell is dropped out with a probability that is linearly increased over the course of training.

Source: Learning Transferable Architectures for Scalable Image...See Code · tensorflow/models

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

6 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
Image Classification2
Neural Architecture Search2
Classification1
Evolutionary Algorithms1
Reinforcement Learning1
image-classification1

Usage over time archive 2025-07-28

Papers per year tagged with ScheduledDropPath: 2017 to 2018, peak 1 1 0 2017: 1 paper 2017 2018: 1 paper 2018
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

Regularization

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