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densenet169

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

densenet169 appears in the code Syntology harvested for 42 papers, as 32 distinct code bodies found in 44 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 densenet169 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 32 distinct code bodies named densenet169; 25 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
4ran
25unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 44 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

42 papers shown of 42, newest first; 44 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; 3 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 Thought Machines 8 May 2025 huyvnphan/PyTorch_CIFAR10/cifar10_models/densenet.py 9ee8bc3f789e311e unverified MIT (permissive)
ADOPT: Modified Adam Can Converge with Any $β_2$ with the Optimal Rate 5 Nov 2024 UiPath/torchvision/torchvision/models/densenet.py 858b62a0718acf3c unverified BSD-3-Clause (permissive)
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification 21 Jun 2024 cgcl-codes/eclipse/classifiers/densenet.py fbb200ca0d53b870 ran MIT (permissive)
4-bit Shampoo for Memory-Efficient Network Training 28 May 2024 sike-wang/low-bit-shampoo/models/densenet.py 3ed7580937fb0008 ran no licence file found · pointer only
VMamba: Visual State Space Model 18 Jan 2024 zs1314/microscopic-mamba/baseline_other/CNN/densenet.py 146200bf92a1418d unverified Apache-2.0 (permissive)
Detection and Defense of Unlearnable Examples 14 Dec 2023 hala64/udp/model/DenseNet.py d7662a601619c28b ran no licence file found · pointer only
ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development 28 Nov 2023 bennyca/reward/4_Visualization/nets/densenet.py aa68268dc6e7365b ran licence not identified · pointer only
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise 22 Nov 2023 liuyixin-louis/stable-unlearnable-example/models/densenet.py 54ca014637609170 unverified licence not identified · pointer only
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness 10 Nov 2023 fmy266/TPA/FAA/densenet.py c200a9855de96b29 unverified no licence file found · pointer only
Robustified ANNs Reveal Wormholes Between Human Category Percepts 14 Aug 2023 ggaziv/Wormholes/wormholes/imagenet_models/densenet.py 019686268f24b3b5 unverified MIT (permissive)
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability 15 Jul 2023 cgcl-codes/transferattacksurrogates/TransferAttack/models/densenet.py 54ca014637609170 unverified MIT (permissive)
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent 5 Jun 2023 raiden-zhu/icml-2023-dsgd-and-sam/networks/densenet_micro.py f25c6f257d317d13 unverified MIT (permissive)
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness 30 May 2023 MadryLab/robustness/robustness/imagenet_models/densenet.py 019686268f24b3b5 unverified MIT (permissive)
Shift-tolerant Perceptual Similarity Metric 27 Jul 2022 abhijay9/shifttolerant-lpips/models_lpf/densenet.py cd120e0fbc36740f unverified BSD-2-Clause (permissive)
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition 26 May 2022 KingJamesSong/DifferentiableSVD/src/network/densenet.py 4983bf3da7e3bc95 unverified Apache-2.0 (permissive)
Deep Unlearning via Randomized Conditionally Independent Hessians 15 Apr 2022 vsingh-group/LCODEC-deep-unlearning/scrub/deep-person-reid-master/torchreid/models/densenet.py 54d10942ab6a6650 unverified MIT (permissive)
Using Multiple Self-Supervised Tasks Improves Model Robustness 7 Apr 2022 mattlawhon/SelfSupDefense/learning/densenet.py ca1a04251cc4d85c unverified Apache-2.0 (permissive)
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time 10 Mar 2022 shallowlearn/sportsreid/torchreid/models/densenet.py 54d10942ab6a6650 unverified MIT (permissive)
Targeted Supervised Contrastive Learning for Long-Tailed Recognition 27 Nov 2021 lth14/targeted-supcon/moco_models/densenet.py 858b62a0718acf3c unverified MIT (permissive)
TranSalNet: Towards perceptually relevant visual saliency prediction 7 Oct 2021 ljovo/transalnet/utils/densenet.py d14cf2b8e9e2a0ef unverified MIT (permissive)
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration 2 Apr 2021 TheoT1/DiGN/imagenet_models/densenet.py 019686268f24b3b5 unverified MIT (permissive)
Can Vision Transformers Learn without Natural Images? 24 Mar 2021 hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch/finetuning/densenet.py aa68268dc6e7365b ran MIT (permissive)
Learning Black-Box Attackers with Transferable Priors and Query Feedback 21 Oct 2020 TrustworthyDL/LeBA/imagenet/models/densenet.py 87e74274277809ca unverified Apache-2.0 (permissive)
Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification 12 Oct 2020 RQuispeC/top-dropblock/torchreid/models/densenet.py e271cdd444e9c43d unverified MIT (permissive)
Calibrating Deep Neural Networks using Focal Loss 21 Feb 2020 torrvision/focal_calibration/Net/densenet.py 02ebf5964f8e25b5 unverified MIT (permissive)
The Group Loss for Deep Metric Learning 1 Dec 2019 laurinwagner/grouploss_plus/net/densenet.py 2f494ef1c2bb7bab unverified MIT (permissive)
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch 22 Oct 2019 KaiyangZhou/deep-person-reid/torchreid/models/densenet.py 54d10942ab6a6650 unverified MIT (permissive)
Exploiting temporal consistency for real-time video depth estimation 10 Aug 2019 weihaox/ST-CLSTM/models/densenet.py ce8509f3822ca900 unverified MIT (permissive)
Network Deconvolution 28 May 2019 deconvolutionpaper/deconvolution/models/densenet_imagenet.py 8bcf56ad403404b1 unverified Apache-2.0 (permissive)
Omni-Scale Feature Learning for Person Re-Identification 2 May 2019 donnjonn/Masterproef/torchreid/models/densenet.py e271cdd444e9c43d unverified MIT (permissive)
RetinaFace: Single-stage Dense Face Localisation in the Wild 2 May 2019 sajjjadayobi/FaceLib/facelib/FacialExpression/models/densenet.py 39f3a3df8ab49ae2 unverified MIT (permissive)
Switchable Whitening for Deep Representation Learning 22 Apr 2019 XingangPan/Switchable-Whitening/models/backbones/densenet.py 5ea48f2ca6d1fa45 unverified MIT (permissive)
Iterative Normalization: Beyond Standardization towards Efficient Whitening 6 Apr 2019 huangleiBuaa/IterNorm-pytorch/ImageNet/models/densenet.py f8edcd0b3f2c5978 unverified BSD-2-Clause (permissive)
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware 2 Dec 2018 ZTao-z/ProxylessNAS/training/net224x224/densenet.py 6438bd7990e5c489 unverified Apache-2.0 (permissive)
Manifold Mixup: Better Representations by Interpolating Hidden States 13 Jun 2018 identical code first harvested elsewhere b97695b36002e117 unverified licence of this copy not recorded
Resource Aware Person Re-identification across Multiple Resolutions 22 May 2018 mileyan/DARENet/models/dare_densenet.py ae81e330ec043182 unverified MIT (permissive)
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs 27 Feb 2018 tjwhitaker/prune-and-tune-ensembles/src/models/densenet.py 9ee8bc3f789e311e unverified MIT (permissive)
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs 11 Dec 2017 pyaf/DenseNet-MURA-PyTorch/densenet.py 496b5c33b6a3a3f7 ran · our draft was wrong MIT (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 jiweibo/imagenet/models/densenet.py 5ed3a0cb0ce1988f ran · our draft was wrong MIT (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 fengjiqiang/pretrainedmodel_pytorch/densenet.py a5e43271fe68a229 ran · our draft was wrong Apache-2.0 (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 DaikiTanak/manifold_mixup/densenet_mixup.py b97695b36002e117 unverified no licence file found · pointer only
arXiv:aaai_29231 MIV-XJTU/EvoPrompt/inclearn/convnet/densenet.py 782f6735a49d9c62 unverified MIT (permissive)
arXiv:Zhao_PhD_Learning_Learning_With_Pompeiu-Hausdorff_Distances_for_Video-Based_Vehicle_Re-Identification_CVPR_2021_paper emdata-ailab/PhD-Learning/torchreid/models/densenet.py 54d10942ab6a6650 unverified Apache-2.0 (permissive)
arXiv:Liu_The_Devil_Is_in_the_Margin_Margin-Based_Label_Smoothing_for_CVPR_2022_paper by-liu/MbLS/calibrate/net/densenet.py 02ebf5964f8e25b5 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".

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