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conv2d_bn

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

conv2d_bn appears in the code Syntology harvested for 12 papers, as 13 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 4 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 conv2d_bn 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 13 distinct code bodies named conv2d_bn; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 4 of the 17 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

12 papers shown of 12, newest first; 17 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
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models 14 Mar 2023 keras-team/keras/keras/src/applications/inception_resnet_v2.py 8c4c044b0da3d59d unverified Apache-2.0 (permissive)
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models 14 Mar 2023 keras-team/keras/keras/src/applications/inception_v3.py b55586ffc10b9cf8 unverified Apache-2.0 (permissive)
Randomness In Neural Network Training: Characterizing The Impact of Tooling 22 Jun 2021 usyd-fsalab/NeuralNetworkRandomness/src/common/resnet.py 98b375ca4e1053fc unverified MIT (permissive)
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation 31 May 2020 AngeLouCN/DC-UNet/dc_unet-pytorch/DC_UNet.py c0a5f57fb46d9fe8 ran · our draft was wrong no licence file found · pointer only
DAmageNet: A Universal Adversarial Dataset 16 Dec 2019 XingLiangLondon/Image-Similarity-in-Percentage/inception_resnet_v2.py a6733fb543c93af7 unverified MIT (permissive)
DAmageNet: A Universal Adversarial Dataset 16 Dec 2019 XingLiangLondon/Image-Similarity-in-Percentage/inception_v3.py f9e794caff5e0303 unverified MIT (permissive)
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation 11 Feb 2019 nibtehaz/MultiResUNet/tensorflow/MultiResUNet.py f5b1b06d8e1b3ce9 unverified MIT (permissive)
CBAM: Convolutional Block Attention Module 17 Jul 2018 kobiso/CBAM-keras/models/inception_resnet_v2.py 83d32f91c543bc87 unverified MIT (permissive)
Understanding Black-box Predictions via Influence Functions 14 Mar 2017 kohpangwei/influence-release/influence/inception_v3.py f9e794caff5e0303 unverified MIT (permissive)
Unsupervised Cross-Domain Image Generation 7 Nov 2016 deepakprabakar96/DTN/face/facenet/model.py 6c4df2f8f7ef8073 ran · our draft was wrong MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 ThanasisMattas/smartflow/smartflow/archs/resnet.py c125a80b2014c456 unverified GPL-3.0 (copyleft) · pointer only
Deep Residual Learning for Image Recognition 10 Dec 2015 fchollet/deep-learning-models/inception_resnet_v2.py a6733fb543c93af7 unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 fchollet/deep-learning-models/inception_v3.py f9e794caff5e0303 unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 mdda/deep-learning-models/inception_v1.py 18df57b0763409c2 unverified MIT (permissive)
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 sebastiaopamplona/msc-thesis-deepfsim/utils/models/facenet.py 6c4df2f8f7ef8073 ran · our draft was wrong no licence file found · pointer only
Distilling the Knowledge in a Neural Network 9 Mar 2015 mckunkel/DistillingObjectDetector/models/inceptionV3.py f14f766b7e289b16 unverified MIT (permissive)
Going Deeper with Convolutions 17 Sep 2014 robin-schneider/cicy-fourfolds/inception.py 70e620165414e94c ran · fixture could not drive it GPL-3.0 (copyleft) · 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".

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