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MaskedAutoencoderViT

Syntologyentry name in harvested coderead from the graph 2026-09-24

MaskedAutoencoderViT appears in the code Syntology harvested for 14 papers, as 24 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named MaskedAutoencoderViT do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 3 of the 24 distinct code bodies named MaskedAutoencoderViT; 21 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
3ran
21unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 24 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

14 papers shown of 14, newest first; 24 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction 28 May 2025 whu-hzy/vimts/IMTS/lib/models/visionts/models_mae.py 0c4169c946e2736d unverified no licence file found · pointer only
Towards a Unified Copernicus Foundation Model for Earth Vision 14 Mar 2025 zhu-xlab/Copernicus-FM/Copernicus-FM/src/models_mae_cfm.py 79dca6bf2c6d2552 unverified licence not identified · pointer only
On the Role of Discrete Tokenization in Visual Representation Learning 12 Jul 2024 pku-ml/clustermim/models_mae.py 2b908bbdf251e36b unverified no licence file found · pointer only
Text Promptable Surgical Instrument Segmentation with Vision-Language Models 15 Jun 2023 franciszzj/tp-sis/model/segmenter.py 036efdeb4674cff1 unverified no licence file found · pointer only
Hard Patches Mining for Masked Image Modeling 12 Apr 2023 Haochen-Wang409/HPM/models_mae_learn_loss.py d88b08a86f1b802d unverified Apache-2.0 (permissive)
Diffusion Models as Masked Autoencoders 6 Apr 2023 kimdanni/DiffMAE/models_cross.py 1a91090e8cbfa8d4 unverified licence not identified · pointer only
Active Visual Exploration Based on Attention-Map Entropy 11 Mar 2023 apardyl/AME/architectures/selectors.py d3f43c1a65fc5f44 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense 2 Feb 2023 youzunzhi/nim-advdef/model/mae/nim_mae.py 6bd6870abe55ea7d unverified MIT (permissive)
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture 19 Jan 2023 waterdisappear/sar-jepa/Pretraining/models_lomar.py 91e43c1af69c43ab unverified licence not identified · pointer only
SdAE: Self-distillated Masked Autoencoder 31 Jul 2022 AbrahamYabo/SdAE/models_mae.py 0742c0fc1b107a04 unverified MIT (permissive)
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery 17 Jul 2022 sustainlab-group/SatMAE/models_mae_temporal.py 40c2d10d3de426ed unverified licence not identified · pointer only
Masked Autoencoders that Listen 13 Jul 2022 facebookresearch/audiomae/models_mae.py 28128850f3b7974d unverified licence not identified · pointer only
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 keytoyze/visionts/visionts/models_mae.py 5c85cd8b5812d34f ran · metamorphic tier: deterministic MIT (permissive)
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 yangsun22/tc-moa/model/ViT_MAE.py 69fcb0b19116792a unverified no licence file found · pointer only
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 DarshanDeshpande/jax-models/jax_models/models/masked_autoencoder.py db65696502e25065 unverified Apache-2.0 (permissive)
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 wangsr126/mae-lite/projects/mae_lite/models_mae.py 3ad95a45a1da4292 unverified Apache-2.0 (permissive)
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 yifanzhang-pro/m-mae/models_mae.py a884a29cbdfbf1c0 unverified no licence file found · pointer only
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 guilk/vlc/vlc/modules/mae_transformer.py aee0709299e0074e unverified no licence file found · pointer only
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 islamosmanubc/MedMAE/code/models_mae.py 6d8df0e8713ee9e0 unverified no licence file found · pointer only
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 virajprabhu/pacmac/models_mae.py c24c07e5963dbcef unverified licence not identified · pointer only
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 alibaba/EasyCV/easycv/models/backbones/mae_vit_transformer.py 4265e07807c81d08 unverified Apache-2.0 (permissive)
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 facebookresearch/vip-mae/models_mae.py aaad170bbdcb0282 unverified licence not identified · pointer only
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 dominickrei/limited-data-vits/models_mae.py eb084414ba03cd0e unverified no licence file found · pointer only
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 dispink/xpt/src/models/mae_vit.py 3fc7aef63e94d614 ran · metamorphic tier: deterministic MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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