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efficientnet_params

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

efficientnet_params appears in the code Syntology harvested for 9 papers, as 10 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 6 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 efficientnet_params 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 6 of the 10 distinct code bodies named efficientnet_params; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

6ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 12 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

9 papers shown of 9, newest first; 12 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
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection 4 Mar 2024 qingyuliu/exposing-the-deception/models/MI_Net.py 158895ccad37077c ran · honoured contract Apache-2.0 (permissive)
Unifying Visual Perception by Dispersible Points Learning 18 Aug 2022 Sense-X/UniHead/up/models/backbones/efficientnet.py 97f60d1e327e8cc2 unverified Apache-2.0 (permissive)
Combining EfficientNet and Vision Transformers for Video Deepfake Detection 6 Jul 2021 davide-coccomini/Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection/cross-efficient-vit/efficient_net/tf_to_pytorch/convert_tf_to_pt/original_tf/efficientnet_builder.py 9e354d875b0e94e6 ran · honoured contract MIT (permissive)
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning 7 Jun 2021 thlarsen13/thlarsen_uncertainty_models/uncertainty_baselines/models/efficientnet.py 9e354d875b0e94e6 ran · honoured contract Apache-2.0 (permissive)
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning 7 Jun 2021 thlarsen13/thlarsen_uncertainty_models/uncertainty_baselines/models/efficientnet_utils.py bc1878c9e235eca0 unverified Apache-2.0 (permissive)
Model-based 3D Hand Reconstruction via Self-Supervised Learning 22 Mar 2021 TerenceCYJ/S2HAND/efficientnet_pt/model.py a8d5c98b4d991792 ran · honoured contract no licence file found · pointer only
Multi-attentional Deepfake Detection 3 Mar 2021 yoctta/multiple-attention/models/MAT.py 0d2081257b75b978 ran · honoured contract no licence file found · pointer only
Smooth Adversarial Training 25 Jun 2020 cihangxie/SmoothAdversarialTraining/EfficientNet/efficientnet_builder.py a7b35049ce7d1511 unverified MIT (permissive)
Self-training with Noisy Student improves ImageNet classification 11 Nov 2019 google-research/noisystudent/efficientnet_builder.py 00e16fdd1db60196 unverified Apache-2.0 (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 shijianjian/efficientnet-pytorch-3d/efficientnet_pytorch_3d/model.py 320b5a90d92ede9f ran · honoured contract Apache-2.0 (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 DableUTeeF/keras-efficientnet/keras_efficientnet/efficientnet_builder.py 49ebeee8958767b6 ran · honoured contract no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 ravi02512/efficientdet-keras/backbone/efficientnet_builder.py 9e354d875b0e94e6 ran · honoured contract no licence file found · pointer only

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".

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