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vgg16

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

vgg16 appears in the code Syntology harvested for 21 papers, as 19 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 8 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 vgg16 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 8 of the 19 distinct code bodies named vgg16; 11 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
5ran
11unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 21 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

21 papers shown of 21, newest first; 21 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 1 papers added by Syntology; 1 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
Uncertainty Estimation by Flexible Evidential Deep Learning added by Syntology 2025-10 (from id) TaeseongYoon/F-EDL/models.py 7a72d161fa502156 ran · our draft was wrong no licence file found · pointer only
Improving Transformer World Models for Data-Efficient RL 3 Feb 2025 eloialonso/iris/src/models/tokenizer/tokenizer.py ca3575bced071dc5 ran GPL-3.0 (copyleft) · pointer only
GaussianCity: Generative Gaussian Splatting for Unbounded 3D City Generation 10 Jun 2024 hzxie/GaussianCity/losses/perceptual.py 45e61111a925688b unverified licence not identified · pointer only
4-bit Shampoo for Memory-Efficient Network Training 28 May 2024 sike-wang/low-bit-shampoo/models/vgg.py 0579755ab192dafc ran no licence file found · pointer only
Beyond Text: Frozen Large Language Models in Visual Signal Comprehension 12 Mar 2024 zh460045050/V2L-Tokenizer/models/models_v2l.py 87acba4e48e52920 ran no licence file found · pointer only
Learning with Logical Constraints but without Shortcut Satisfaction 1 Mar 2024 SoftWiser-group/NeSy-without-Shortcuts/models/vgg.py b77041e9b261bc8f ran no licence file found · pointer only
VRP-SAM: SAM with Visual Reference Prompt 27 Feb 2024 syp2ysy/VRP-SAM/model/VRP_encoder.py bee97082c988542b ran · our draft was wrong MIT (permissive)
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model 1 Feb 2024 hzc1208/LMHT_SNN/ann_models/VGG.py 2f1362c8b4ce058c ran no licence file found · pointer only
CityDreamer: Compositional Generative Model of Unbounded 3D Cities 1 Sep 2023 hzxie/CityDreamer/losses/perceptual.py 45e61111a925688b unverified no licence file found · pointer only
Not All Poisons are Created Equal: Robust Training against Data Poisoning 18 Oct 2022 yuyang0901/effective-poison-identification/models/vgg.py 8c60051157c60390 unverified MIT (permissive)
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation 21 Apr 2022 chunbolang/DCP/model/DCP.py 0902796de5cc0ba5 ran · our draft was wrong MIT (permissive)
Self-Distillation from the Last Mini-Batch for Consistency Regularization 30 Mar 2022 Meta-knowledge-Lab/DLB/models/vgg.py 27930880bc4b32a9 unverified MIT (permissive)
Layer Folding: Neural Network Depth Reduction using Activation Linearization 17 Jun 2021 LayerFolding/Layer-Folding/VGG_Cifar10_prefold.py 58bbc7ac2c2a5474 unverified BSD-3-Clause (permissive)
Regularizing Neural Networks via Adversarial Model Perturbation 10 Oct 2020 hiyouga/AMP-Regularizer/models/vgg.py 27be89a48a746a7e unverified MIT (permissive)
Neural Bootstrapper 2 Oct 2020 sungbinlim/GBS/models/vgg_ca.py 35785195d24fc7e4 unverified MIT (permissive)
WAFFLE: Watermarking in Federated Learning 17 Aug 2020 ssg-research/WAFFLE/src/Network.py 8a949d51cd1e0178 unverified Apache-2.0 (permissive)
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks 22 Jun 2020 aks2203/poisoning-benchmark/models/vgg.py 8c60051157c60390 unverified MIT (permissive)
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network 5 Jan 2020 KabirSingh114/DeepFake_Face_Detection/network/VGG16.py 3c6a5dae9359b275 unverified MIT (permissive)
Few-Shot Segmentation Propagation with Guided Networks 25 May 2018 shelhamer/revolver/revolver/model/backbone.py b1ed98232e8d10fa unverified BSD-2-Clause (permissive)
Depth-aware CNN for RGB-D Segmentation 19 Mar 2018 laughtervv/DepthAwareCNN/models/VGG_Deeplab.py b6bdfbe93eac1645 unverified MIT (permissive)
arXiv:aaai_26027 UCAS-LCH/Twin-Rep/models/vgg.py bbea9024ab8ea774 unverified 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