Home › Code › load_pretrained_weights

load_pretrained_weights

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

load_pretrained_weights appears in the code Syntology harvested for 20 papers, as 19 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 7 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 load_pretrained_weights 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 7 of the 19 distinct code bodies named load_pretrained_weights; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
4ran
12unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 24 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

20 papers shown of 20, newest first; 24 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 3 papers added by Syntology. 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
Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration added by Syntology 2026-05 (from id) HuahuaCodes/FedHD-ICML2026/FedHD/model/resnet_custom.py 42ebcfb93d93ecfb unverified MIT (permissive)
Enabling Progressive Whole-slide Image Analysis with Multi-scale Pyramidal Network added by Syntology 2026-02 (from id) CraigMyles/SurGen-Dataset/reproducibility/models/resnet_custom.py 42ebcfb93d93ecfb unverified GPL-3.0 (copyleft) · pointer only
Understanding the Transfer Limits of Vision Foundation Models added by Syntology 2026-01 (from id) pimed/ProViCNet/ProViCNet/ModelArchitectures/base_vit.py 8c053b1e8b60dcc6 unverified MIT (permissive)
A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model 22 Jul 2024 cassie07/pathomics/PathOmics/split_tiles_utils/Customized_resnet.py 42ebcfb93d93ecfb unverified no licence file found · pointer only
A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models 9 Jul 2024 fuchs-lab-public/opal/SSL_benchmarks/code/feature_extraction/resnet_custom.py 42ebcfb93d93ecfb unverified MIT (permissive)
Masked Modeling Duo: Towards a Universal Audio Pre-training Framework 9 Apr 2024 nttcslab/eval-audio-repr/evar/model_utils.py 64321fd5ab7f96bc ran licence not identified · pointer only
Boosting Unsupervised Segmentation Learning 4 Apr 2024 alperensari/segmentation-tricks/utils.py fc95de71038fb481 ran no licence file found · pointer only
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection 4 Mar 2024 qingyuliu/exposing-the-deception/models/MI_Net.py d930abcc85af042c unverified Apache-2.0 (permissive)
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis 14 Nov 2023 JamesQFreeman/LoRA-ViT/base_vit.py 8c053b1e8b60dcc6 unverified GPL-3.0 (copyleft) · pointer only
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance 14 Oct 2023 jlianglab/ark/Ark_Plus/Finetuning/models.py 97ee7545105238e1 ran licence not identified · pointer only
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis 14 Sep 2023 hku-medai/higt/models/resnet_custom_re.py 42ebcfb93d93ecfb unverified no licence file found · pointer only
Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning 8 Aug 2023 hanjaekim98/cot/models/vit_utils.py 4cb49866c5980797 ran no licence file found · pointer only
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network 22 Mar 2022 ucaszyp/steps/components/resnet_backbone.py 41226517c1fbe4bf unverified MIT (permissive)
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark 9 Aug 2021 w2kun/RNW/components/resnet_backbone.py f4042f393bf3b9db unverified MIT (permissive)
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation 7 Apr 2021 ashstuff/dissm/implicitshapes/train_episodic.py 952162b739449c66 ran · our draft was wrong no licence file found · pointer only
Model-based 3D Hand Reconstruction via Self-Supervised Learning 22 Mar 2021 TerenceCYJ/S2HAND/efficientnet_pt/model.py 88f14d6c66675279 unverified no licence file found · pointer only
Multi-attentional Deepfake Detection 3 Mar 2021 yoctta/multiple-attention/models/MAT.py 5545a1c79e2818b2 unverified no licence file found · pointer only
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 lukemelas/PyTorch-Pretrained-ViT/pytorch_pretrained_vit/model.py 9d3da3ac9d5f15d2 ran · honoured contract no licence file found · pointer only
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 arkel23/PyTorch-Pretrained-ViT/pytorch_pretrained_vit/model.py 75d9bb6a77866f28 unverified no licence file found · pointer only
Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework 6 Aug 2020 BestJuly/IIC/retrieve_clips.py d063a3ed6d018143 ran · our draft was wrong no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 AmirmohammadRostami/KeywordsSpotting-EfficientNet-A0/utils/efficientnet_pytorch/model.py 66fc31c225f5c1c8 unverified MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 lukemelas/EfficientNet-PyTorch/efficientnet_pytorch/model.py cf490093d7f2e932 unverified Apache-2.0 (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 github-luffy/PFLD_68points_Pytorch/efficientnet/model.py d44dfa0d14e7e4e2 unverified no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 morganmcg1/stanford-cars/MEfficientNet_PyTorch/efficientnet_pytorch/model.py 07fdad800f0f9e80 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