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densenet121

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

densenet121 appears in the code Syntology harvested for 43 papers, as 33 distinct code bodies found in 45 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 densenet121 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 33 distinct code bodies named densenet121; 25 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
0ran · fixture could not drive it
6ran
25unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 45 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

43 papers shown of 43, newest first; 45 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 d2ef37da818b9f51 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 9eb4b3b03ed7a1c9 unverified BSD-3-Clause (permissive)
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification 21 Jun 2024 cgcl-codes/eclipse/classifiers/densenet.py 9fbbf66be4539e3b ran MIT (permissive)
4-bit Shampoo for Memory-Efficient Network Training 28 May 2024 sike-wang/low-bit-shampoo/models/densenet.py 567029bd46065708 ran no licence file found · pointer only
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data 31 Jan 2024 cleverhans-lab/decaph/custom_model.py 37428b897e58f749 ran no licence file found · pointer only
VMamba: Visual State Space Model 18 Jan 2024 zs1314/microscopic-mamba/baseline_other/CNN/densenet.py 28a7176a9777c76c unverified Apache-2.0 (permissive)
Detection and Defense of Unlearnable Examples 14 Dec 2023 hala64/udp/model/DenseNet.py c7c06436df36a3ae 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 63a68e9f6bf2f409 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 7510d0bcd890c346 unverified licence not identified · pointer only
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness 10 Nov 2023 fmy266/TPA/FAA/densenet.py ad370ce5d85797b6 ran no licence file found · pointer only
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective 22 Oct 2023 fanghenshaometeor/ood-mode-ensemble/model/imgnet_densenet.py 6ae97a54ffd19675 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 85c4757ab3246b61 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 7510d0bcd890c346 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 a4f6b58f30dbc12d 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 85c4757ab3246b61 unverified MIT (permissive)
Shift-tolerant Perceptual Similarity Metric 27 Jul 2022 abhijay9/shifttolerant-lpips/models_lpf/densenet.py 139d9cd6430f7bbe 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 10d70cd9de88accd 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 8e96abe9674da973 unverified MIT (permissive)
Using Multiple Self-Supervised Tasks Improves Model Robustness 7 Apr 2022 mattlawhon/SelfSupDefense/learning/densenet.py ac057d3606810af8 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 8e96abe9674da973 unverified MIT (permissive)
Targeted Supervised Contrastive Learning for Long-Tailed Recognition 27 Nov 2021 lth14/targeted-supcon/moco_models/densenet.py 9eb4b3b03ed7a1c9 unverified MIT (permissive)
TranSalNet: Towards perceptually relevant visual saliency prediction 7 Oct 2021 ljovo/transalnet/utils/densenet.py 8fbb6e8ffe5752f5 unverified MIT (permissive)
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration 2 Apr 2021 TheoT1/DiGN/imagenet_models/densenet.py 85c4757ab3246b61 unverified MIT (permissive)
Can Vision Transformers Learn without Natural Images? 24 Mar 2021 hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch/finetuning/densenet.py 63a68e9f6bf2f409 ran MIT (permissive)
Learning Black-Box Attackers with Transferable Priors and Query Feedback 21 Oct 2020 TrustworthyDL/LeBA/imagenet/models/densenet.py f930d6c782c63d61 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 6473856732e614c2 unverified MIT (permissive)
Calibrating Deep Neural Networks using Focal Loss 21 Feb 2020 torrvision/focal_calibration/Net/densenet.py a8ffeb2d34427847 unverified MIT (permissive)
The Group Loss for Deep Metric Learning 1 Dec 2019 laurinwagner/grouploss_plus/net/densenet.py 662688cdde7e85be 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 8e96abe9674da973 unverified MIT (permissive)
Exploiting temporal consistency for real-time video depth estimation 10 Aug 2019 weihaox/ST-CLSTM/models/densenet.py a32d5ced0147ff13 unverified MIT (permissive)
Omni-Scale Feature Learning for Person Re-Identification 2 May 2019 donnjonn/Masterproef/torchreid/models/densenet.py 6473856732e614c2 unverified MIT (permissive)
RetinaFace: Single-stage Dense Face Localisation in the Wild 2 May 2019 sajjjadayobi/FaceLib/facelib/FacialExpression/models/densenet.py 933ea7e525b5c882 unverified MIT (permissive)
Switchable Whitening for Deep Representation Learning 22 Apr 2019 XingangPan/Switchable-Whitening/models/backbones/densenet.py 8b1cc983e181dcff unverified MIT (permissive)
Iterative Normalization: Beyond Standardization towards Efficient Whitening 6 Apr 2019 huangleiBuaa/IterNorm-pytorch/ImageNet/models/densenet.py f3db20d9541895a3 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 a5d287b4575429b2 unverified Apache-2.0 (permissive)
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks 2018-07 (from id) dizcza/EmbedderSDR/models/caltech.py 59ba360e21044bc8 unverified MIT (permissive)
Manifold Mixup: Better Representations by Interpolating Hidden States 13 Jun 2018 identical code first harvested elsewhere 5215dafd01cc9248 unverified licence of this copy not recorded
Resource Aware Person Re-identification across Multiple Resolutions 22 May 2018 mileyan/DARENet/models/dare_densenet.py 35bdfd5997f6c523 unverified MIT (permissive)
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs 27 Feb 2018 tjwhitaker/prune-and-tune-ensembles/src/models/densenet.py d2ef37da818b9f51 unverified MIT (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 jiweibo/imagenet/models/densenet.py 2cf8e05772f97227 ran · our draft was wrong MIT (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 fengjiqiang/pretrainedmodel_pytorch/densenet.py bb3352f2e86fcbb2 ran · our draft was wrong Apache-2.0 (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 DaikiTanak/manifold_mixup/densenet_mixup.py 5215dafd01cc9248 unverified no licence file found · pointer only
arXiv:aaai_29231 MIV-XJTU/EvoPrompt/inclearn/convnet/densenet.py 451415fcfa441c98 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 8e96abe9674da973 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 a8ffeb2d34427847 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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