Home › Code › MAE

MAE

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

MAE appears in the code Syntology harvested for 46 papers, as 26 distinct code bodies found in 49 places (a place is one code body under one paper). At least one of them ran in 13 of the papers; 8 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 MAE 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 13 of the 26 distinct code bodies named MAE; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
1ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
10ran
13unverified
8fingerprinted

Licence is a property of each copy, so it is counted per place: 21 of the 49 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

46 papers shown of 46, newest first; 49 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, and the graph's for 5 papers added by Syntology; 6 papers have no page here and are shown by arXiv id only. 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
Context-Aware Mutual Learning for Blind Image Inpainting and Beyond added by Syntology 2026-09 (from id) zhenglab/CAML/scores/mae.py 1910bb6212d04c1b unverified no licence file found · pointer only
Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation added by Syntology 2026-07 (from id) VanessB/mutinfo/source/evaluate/process.py 396c92a87ece0cba ran GPL-3.0 (copyleft) · pointer only
Extreme Adaptive Transformer for Time Series Forecasting EXTREME ADAPTIVE TRANSFORMER FOR TIME SERIES FORECASTING added by Syntology 2026-07 (from id) sanzexstha/Exformer/utils/metrics_dan.py 75f44993b096bf76 unverified Apache-2.0 (permissive)
Differentiable latent structure discovery for interpretable forecasting in clinical time series added by Syntology 2026-04 (from id) yalavarthivk/GraFITi/train_grafiti.py 0286ba94d7f741aa ran fingerprinted no licence file found · pointer only
Differentiable latent structure discovery for interpretable forecasting in clinical time series added by Syntology 2026-04 (from id) yalavarthivk/GraFITi/baseline_experiments/train_linodenet.py 1406fa2cb89ec513 ran fingerprinted no licence file found · pointer only
CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditions added by Syntology 2026-02 (from id) whynot-zyl/CloDS/gaussian-mesh-splatting_node/NVS.py 05ac0a71a8992041 unverified no licence file found · pointer only
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting 10 Feb 2025 huangst21/timekan/utils/metrics.py 75f44993b096bf76 unverified Apache-2.0 (permissive)
Data-driven Precipitation Nowcasting Using Satellite Imagery 16 Dec 2024 seominseok0429/data-driven-precipitation-nowcasting-using-satellite-imagery/metrics.py 63e596d782038a53 unverified no licence file found · pointer only
FilterNet: Harnessing Frequency Filters for Time Series Forecasting 3 Nov 2024 wanghq21/MICN/utils/metrics.py 75f44993b096bf76 unverified no licence file found · pointer only
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting 31 Oct 2024 shangzongjiang/Ada-MSHyper/utils/metrics.py 75f44993b096bf76 unverified no licence file found · pointer only
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting 6 Oct 2024 hank0626/timebridge/utils/metrics.py 75f44993b096bf76 unverified MIT (permissive)
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces 17 Jun 2024 bdi-lab/spot-mamba/utils/metrics.py 561509b199175ea9 ran fingerprinted licence not identified · pointer only
Unleashing the Potential of Diffusion Models for Incomplete Data Imputation 31 May 2024 hezgit/TDM/utils.py 8d036d1ee3960752 ran GPL-3.0 (copyleft) · pointer only
Are Self-Attentions Effective for Time Series Forecasting? 27 May 2024 dongbeank/CATS/utils/metrics.py 75f44993b096bf76 unverified MIT (permissive)
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting 17 May 2024 xdzhelheim/himnet/lib/metrics.py 561509b199175ea9 ran fingerprinted no licence file found · pointer only
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting 14 Mar 2024 atik-ahamed/timemachine/TimeMachine_supervised/utils/metrics.py 75f44993b096bf76 unverified Apache-2.0 (permissive)
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling 20 Feb 2024 Levi-Ackman/Leddam/utils/metrics.py 75f44993b096bf76 unverified no licence file found · pointer only
Topology-Informed Graph Transformer 3 Feb 2024 leemingo/cy2mixer/lib/metrics.py 561509b199175ea9 ran fingerprinted no licence file found · pointer only
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction 28 Dec 2023 magics-lab/stanhop/utils/metrics.py 75f44993b096bf76 unverified MIT (permissive)
The Causal Impact of Credit Lines on Spending Distributions 16 Dec 2023 lyjsilence/the-causal-impact-of-credit-lines-on-spending-distributions/training.py 10d43d4c45c48add ran fingerprinted MIT (permissive)
Large Pre-trained time series models for cross-domain Time series analysis tasks 19 Nov 2023 adityalab/samay/src/samay/metric.py 3d45af2dc19af0af ran fingerprinted Apache-2.0 (permissive)
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis 31 Oct 2023 nzl5116190/Basisformer/evaluate_tool.py 75f44993b096bf76 unverified no licence file found · pointer only
arXiv:2310.17911 2023-10 (from id) hyperspectral-skin/Hyper-Skin-2023/helpers/losses.py 942b16cf1d0d34e3 ran fingerprinted MIT (permissive)
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder 25 Oct 2023 alinlab/metamae/models.py 3f952d0ff510309b unverified no licence file found · pointer only
xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection 16 Oct 2023 PinzhenChen/sacreCOMET/experiments/precision/compute_metric_corr.py b32b528858bf1fbb ran · violated contract fingerprinted MIT (permissive)
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting 15 Oct 2023 liuxu77/unitime/utils/metrics.py 75f44993b096bf76 unverified Apache-2.0 (permissive)
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity 18 Aug 2023 nslab-cuk/community-aware-graph-transformer/metrics.py 8c3fd13fe72b290d unverified MIT (permissive)
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series 16 Aug 2023 scxsunchenxi/test/losses/metrics.py 75f44993b096bf76 unverified no licence file found · pointer only
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning 20 Jun 2023 chengtan9907/simvpv2/openstl/core/metrics.py 05ac0a71a8992041 unverified Apache-2.0 (permissive)
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors 30 May 2023 thuml/Koopa/utils/metrics.py 75f44993b096bf76 unverified MIT (permissive)
KBNet: Kernel Basis Network for Image Restoration 6 Mar 2023 zhangyi-3/kbnet/Defocus_Deblurring/utils.py 5590b75db4c828a0 unverified MIT (permissive)
Transformed Distribution Matching for Missing Value Imputation 20 Feb 2023 hezgit/tdm/tdm.py c68f26f0c249be46 ran · honoured contract GPL-3.0 (copyleft) · pointer only
Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect 22 Jul 2022 origamisl/rtnet/utils/metrics.py 75f44993b096bf76 unverified Apache-2.0 (permissive)
TiSAT: Time Series Anomaly Transformer 10 Mar 2022 kevaldoshi17/TiSAT/utils/metrics.py 75f44993b096bf76 unverified MIT (permissive)
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting 3 Feb 2022 salesforce/etsformer/utils/metrics.py 75f44993b096bf76 unverified BSD-3-Clause (permissive)
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting 30 Jan 2022 eeci/annex_37/assess_forecasts.py 86e750c7345818ce unverified MIT (permissive)
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 PatrickHua/SimpleMAE/mae.py e0ce63efd1bd3605 ran · metamorphic tier: deterministic no licence file found · pointer only
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 qiaopTDUN/mae-repo/vit_pytorch/mae.py 62051d3ebdd50d03 ran no licence file found · pointer only
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 liujiyuan13/MAE-code/model.py 1caa82740b24080e unverified GPL-3.0 (copyleft) · pointer only
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images 30 Apr 2021 ptarling/DeepLearningFishCounting/lossfunctions_metrics.py e6c42930be66ecec unverified MIT (permissive)
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild 27 Jun 2020 confifu/RepNet-Pytorch/trainLoop.py 5010f1e25df94843 ran · honoured contract fingerprinted no licence file found · pointer only
PraNet: Parallel Reverse Attention Network for Polyp Segmentation 13 Jun 2020 Thehunk1206/PRANet-Polyps-Segmentation/utils/segmentation_metric.py 5f19cb59109dcf70 unverified MIT (permissive)
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties 15 May 2020 PV-Lab/FTCP/main_semi.py 43ce67d55b1c0129 unverified Apache-2.0 (permissive)
Defocus Deblurring Using Dual-Pixel Data 1 May 2020 Abdullah-Abuolaim/defocus-deblurring-dual-pixel/DPDNet/metrics.py 580af109538f83ac unverified MIT (permissive)
arXiv:ijcai2025_0747 ChujieXu/CDPNet/utils/metrics.py 75f44993b096bf76 unverified MIT (permissive)
arXiv:ijcai2025_0372 cwang-nus/DOL/utils/metrics.py 75f44993b096bf76 unverified MIT (permissive)
arXiv:aaai_16112 ziniBRC/RNASSR-Net/train/metrics.py 8c3fd13fe72b290d unverified MIT (permissive)
arXiv:Zamir_Restormer_Efficient_Transformer_for_High-Resolution_Image_Restoration_CVPR_2022_paper swz30/Restormer/Defocus_Deblurring/utils.py 5590b75db4c828a0 unverified MIT (permissive)
arXiv:Li_Met2Net_A_Decoupled_Two-Stage_Spatio-Temporal_Forecasting_Model_for_Complex_Meteorological_ICCV_2025_paper ShremG/Met2Net/openstl/core/metrics.py 05ac0a71a8992041 unverified Apache-2.0 (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