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alexnet

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

alexnet appears in the code Syntology harvested for 42 papers, as 39 distinct code bodies found in 47 places (a place is one code body under one paper). At least one of them ran in 14 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 alexnet 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 9 of the 39 distinct code bodies named alexnet; 30 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
6ran
30unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 47 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; 47 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
ADOPT: Modified Adam Can Converge with Any $β_2$ with the Optimal Rate 5 Nov 2024 UiPath/torchvision/torchvision/models/alexnet.py 8ccdf1f64321d691 unverified BSD-3-Clause (permissive)
Revisiting Essential and Nonessential Settings of Evidential Deep Learning 1 Oct 2024 mengyuanchen21/re-edl/code_classical/architectures/alexnet_sequential.py 53ebd0b432c5eaf0 ran no licence file found · pointer only
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification 29 Sep 2024 fukexue/FAST/models/alexnet.py 1352df0a3319e2e7 ran no licence file found · pointer only
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label Encoding Perspective 5 Jun 2024 zhangyl660/LERM/UDA/DA/CDAN-LERM/network.py dbadbf1a0f7deaa6 ran no licence file found · pointer only
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning 23 Mar 2024 tsingz0/fedktl/system/flcore/trainmodel/alexnet.py 4839e6f3a569f1b9 ran Apache-2.0 (permissive)
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? 9 Feb 2024 maohaos2/edl-mirage/src/edl_mirage/architectures/alexnet_sequential.py 53ebd0b432c5eaf0 ran MIT (permissive)
On $f$-Divergence Principled Domain Adaptation: An Improved Framework 2 Feb 2024 thuml/CDAN/pytorch/network.py dbadbf1a0f7deaa6 ran no licence file found · pointer only
On $f$-Divergence Principled Domain Adaptation: An Improved Framework 2 Feb 2024 thuml/CDAN/pytorch/alexnet.py 30679fa4ad63dfee ran no licence file found · pointer only
Eliminating Domain Bias for Federated Learning in Representation Space 25 Nov 2023 TsingZ0/DBE/system/flcore/trainmodel/alexnet.py 4839e6f3a569f1b9 ran Apache-2.0 (permissive)
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission 15 Nov 2023 he159ok/uncseqlabeling_slpn/architectures/alexnet_sequential.py 53ebd0b432c5eaf0 ran no licence file found · pointer only
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML 11 Oct 2023 ziqi-zhang/teeslice-artifact/membership-inference/models/alexnet.py 18aa3a782441967c unverified no licence file found · pointer only
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends 6 Oct 2023 wxr99/holisticpu/model/alexnet.py e935c45481d57af0 ran no licence file found · pointer only
Robustified ANNs Reveal Wormholes Between Human Category Percepts 14 Aug 2023 ggaziv/Wormholes/wormholes/imagenet_models/alexnet.py 3b26d6ebbd9142b2 unverified MIT (permissive)
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need 5 Jul 2023 miccaiif/ins/alexnet.py 1352df0a3319e2e7 ran no licence file found · pointer only
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification 24 Jun 2023 xk-huang/OrdinalCLIP/ordinalclip/models/image_encoders/alexnet.py c064f649a023c5e7 unverified MIT (permissive)
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent 5 Jun 2023 raiden-zhu/icml-2023-dsgd-and-sam/networks/alexnet_micro.py 6f111de3f2e2945d unverified MIT (permissive)
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness 30 May 2023 MadryLab/robustness/robustness/imagenet_models/alexnet.py 3b26d6ebbd9142b2 unverified MIT (permissive)
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning 3 Mar 2023 danruod/iedl/code_classical/architectures/alexnet_sequential.py 53ebd0b432c5eaf0 ran MIT (permissive)
Backdoor Attacks for Remote Sensing Data with Wavelet Transform 15 Nov 2022 ndraeger/waba/classification/models/networks.py f94761b672278106 unverified MIT (permissive)
Shift-tolerant Perceptual Similarity Metric 27 Jul 2022 abhijay9/shifttolerant-lpips/models_lpf/alexnet.py bc34e3894ecb4e8e unverified BSD-2-Clause (permissive)
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition 26 May 2022 KingJamesSong/DifferentiableSVD/src/network/alexnet.py 2f5db20279adcab2 unverified Apache-2.0 (permissive)
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains 27 Jan 2022 Alibaba-AAIG/Beyond-ImageNet-Attack/imagenet/alexnet.py 2acf0497fa785363 unverified MIT (permissive)
Targeted Supervised Contrastive Learning for Long-Tailed Recognition 27 Nov 2021 lth14/targeted-supcon/moco_models/alexnet.py 69e2ce68b6db2411 unverified MIT (permissive)
Efficient passive membership inference attack in federated learning 31 Oct 2021 spin-umass/membershipwhiteboxattacks/ATTACK-ALEXNET-different_grads.py 92b7c234f65ea379 ran · our draft was wrong no licence file found · pointer only
AFEC: Active Forgetting of Negative Transfer in Continual Learning 23 Oct 2021 lywang3081/AFEC/networks/alexnet.py 0f7fb2e8ce13ae2a unverified MIT (permissive)
The Connection between Out-of-Distribution Generalization and Privacy of ML Models 7 Oct 2021 microsoft/robustdg/models/alexnet.py c5cd97ace2ebac33 unverified MIT (permissive)
Poisoned classifiers are not only backdoored, they are fundamentally broken 18 Oct 2020 locuslab/breaking-poisoned-classifier/code/badnet/alexnet_fc7out.py eedd280179e0f417 unverified MIT (permissive)
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation 15 Jul 2020 YBZh/Label-Propagation-with-Augmented-Anchors/models/alexnet.py 9e2db0e9c19ddabc unverified MIT (permissive)
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition 28 Mar 2020 vihari/csd/pacs/models/alexnet.py 81b32462156333ce unverified MIT (permissive)
Towards Robust and Reproducible Active Learning Using Neural Networks 21 Feb 2020 acl21/deep-active-learning-pytorch/pycls/models/alexnet.py 1d3e648204ca8f7f unverified MIT (permissive)
Self-labelling via simultaneous clustering and representation learning 13 Nov 2019 yukimasano/self-label/models/alexnet.py eab58619dff18322 unverified MIT (permissive)
Hidden Trigger Backdoor Attacks 30 Sep 2019 UMBCvision/Hidden-Trigger-Backdoor-Attacks/alexnet_fc7out.py 6b6cde94107455e4 unverified MIT (permissive)
Class-dependent Compression of Deep Neural Networks 23 Sep 2019 rahimentezari/Sensys-ml2020/models/AlexNet.py 6226f06e01e888e3 unverified MIT (permissive)
Class-dependent Compression of Deep Neural Networks 23 Sep 2019 rahimentezari/Sensys-ml2020/models/AlexNet2.py d4465321aa394bf1 unverified MIT (permissive)
Class-dependent Compression of Deep Neural Networks 23 Sep 2019 rahimentezari/Sensys-ml2020/models/AlexNet3.py 0e2ea538c8fb0e03 unverified MIT (permissive)
Class-dependent Compression of Deep Neural Networks 23 Sep 2019 rahimentezari/Sensys-ml2020/models/CNN_3.py 8697ae6dc65daae7 unverified MIT (permissive)
Class-dependent Compression of Deep Neural Networks 23 Sep 2019 rahimentezari/Sensys-ml2020/models/alexnet_layer_input.py 955a24768ec4558c unverified MIT (permissive)
Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress 26 Jul 2019 esgario/lara2018/classification/architectures/alexnet.py 346fa1c79312d816 unverified MIT (permissive)
Self-supervised Domain Adaptation for Computer Vision Tasks 25 Jul 2019 Jiaolong/self-supervised-da/networks/alexnet.py 81b32462156333ce unverified MIT (permissive)
Iterative Normalization: Beyond Standardization towards Efficient Whitening 6 Apr 2019 huangleiBuaa/IterNorm-pytorch/ImageNet/models/alexnet.py ef99ba388dcdcf07 unverified BSD-2-Clause (permissive)
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware 2 Dec 2018 ZTao-z/ProxylessNAS/training/net224x224/alexnet.py 56065505349324f3 unverified Apache-2.0 (permissive)
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism 16 Nov 2018 alondj/Pytorch-Gpipe/sample_models/AlexNet.py effafd8df78cdde1 ran · our draft was wrong no licence file found · pointer only
Ambient Sound Provides Supervision for Visual Learning 25 Aug 2016 rowhanm/ambient-sound-self-supervision/utils/models.py 170624d53a903496 unverified MIT (permissive)
Domain-Adversarial Training of Neural Networks 28 May 2015 AKASH2907/Forgery-Classification-via-Domain-Adaptation/DANN/dann_keras.py d86e29f3ca97a8c2 ran · our draft was wrong no licence file found · pointer only
Adam: A Method for Stochastic Optimization 22 Dec 2014 KhalilJDamouni/RMSGD_Pretest/src/adas/models/alexnet.py cd7d9260519b0c88 unverified MIT (permissive)
Challenges in Representation Learning: A report on three machine learning contests 1 Jul 2013 phamquiluan/ResidualMaskingNetwork/models/alexnet.py 8b9ffa45e293e7ef unverified MIT (permissive)
arXiv:Sun_Exploring_Effective_Data_for_Surrogate_Training_Towards_Black-Box_Attack_CVPR_2022_paper xuxiangsun/ST-Data/models/tinysizemodels/alexnet.py 42328077a624f335 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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