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Mutual Information Machine/Mask Image Modeling

MIM

150 papers tagged archive 2025-07-28

Introduced by Micha Livne et al. in MIM: Mutual Information Machine

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 150, 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 165 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
Self-Supervised Learning53
Representation Learning35
Semantic Segmentation33
Contrastive Learning32
Image Classification23
Object Detection21
image-classification20
object-detection18
Decoder12
Language Modelling8
Transfer Learning8
Image Segmentation7
Language Modeling7
Attribute6
Instance Segmentation6
Medical Image Analysis6
Medical Image Segmentation6
Masked Language Modeling5
Segmentation5
Self-Supervised Image Classification5

Usage over time archive 2025-07-28

Papers per year tagged with MIM: 2019 to 2025, peak 50 50 0 2019: 1 paper 2019 2020: 5 papers 2020 2021: 1 paper 2021 2022: 35 papers 2022 2023: 50 papers 2023 2024: 40 papers 2024 2025: 18 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (150 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

Representation Learning

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