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build_wideresnet

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

build_wideresnet appears in the code Syntology harvested for 11 papers, as 11 distinct code bodies found in 13 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 build_wideresnet 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 4 of the 11 distinct code bodies named build_wideresnet; 7 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
4ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 13 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

11 papers shown of 11, newest first; 13 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; 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
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition 8 Oct 2024 zhouzihao11/CCL/models/wideresnet.py 3ea5971a7367f941 unverified no licence file found · pointer only
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning 19 Jun 2024 gank0078/boat/models/wideresnet.py 805ac5f0718023de ran no licence file found · pointer only
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models 2 Mar 2024 ZiTingW/asvp/wideresnet.py e77d24d05a4e0945 ran MIT (permissive)
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning 21 Feb 2024 leaplabthu/simpro/SimPro/models/wideresnet.py 696efb0407cdcb48 ran no licence file found · pointer only
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning 21 Feb 2024 leaplabthu/simpro/ACR_d/models/wideresnet.py de64adf4dfb1607b ran no licence file found · pointer only
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering 20 Jul 2023 dyjdongyijun/Semi_Supervised_Knowledge_Distillation/models/wideresnet.py 73e41df974d19846 unverified MIT (permissive)
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data 25 Aug 2022 tufts-ml/fix-a-step/src_CIFAR10/models/wideresnet.py 73e41df974d19846 unverified MIT (permissive)
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning 6 Oct 2021 TonyLianLong/UnsupervisedSelectiveLabeling/semisup-fixmatch-cifar/models/wideresnet.py bc349fad528f976c unverified MIT (permissive)
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers 28 May 2021 VisionLearningGroup/OP_Match/models/wideresnet.py 67dd91fd9dc32549 unverified MIT (permissive)
Meta Pseudo Labels 23 Mar 2020 ifsheldon/MPL_Lightning/mpl_lightning/aux_modules.py 4aed6586a15047dd unverified MIT (permissive)
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence 21 Jan 2020 kekmodel/FixMatch-pytorch/models/wideresnet.py 73e41df974d19846 unverified MIT (permissive)
arXiv:Huang_Systematic_Comparison_of_Semi-supervised_and_Self-supervised_Learning_for_Medical_Image_CVPR_2024_paper tufts-ml/SSL-vs-SSL-benchmark/backbone/wideresnet.py 063113ffd289341a unverified MIT (permissive)
arXiv:Huang_Systematic_Comparison_of_Semi-supervised_and_Self-supervised_Learning_for_Medical_Image_CVPR_2024_paper tufts-ml/SSL-vs-SSL-benchmark/backbone/wideresnet_comatch.py 1486475259ce73ff 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