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CNN

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

CNN appears in the code Syntology harvested for 23 papers, as 25 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 15 of the papers; 1 of the code bodies carries 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 CNN 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 15 of the 25 distinct code bodies named CNN; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
14ran
10unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 25 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

23 papers shown of 23, newest first; 25 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 2 papers added by Syntology; 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
Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks added by Syntology 2026-02 (from id) Bohan7/TSEF/experiments/evaluation/tsef_attack.py d6cccad4740ee81e ran MIT (permissive)
FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning added by Syntology 2025-10 (from id) bkjod/FedQS_/utils/afl_avg_our.py 36f183711192ad56 ran · our draft was wrong no licence file found · pointer only
TopoGCL: Topological Graph Contrastive Learning 25 Jun 2024 topogclaaai24/TopoGCL/topogin.py b1d976a60d91f352 ran · metamorphic tier: deterministic no licence file found · pointer only
Distributional Soft Actor-Critic with Three Refinements 9 Oct 2023 jingliang-duan/dsac-t/networks/cnn.py c182f96b7f88ba70 ran no licence file found · pointer only
arXiv:2306.02109 2023-06 (from id) mims-harvard/TimeX/txai/models/bc_model.py 00fc6035b5f44c6b ran no licence file found · pointer only
Transformer-based World Models Are Happy With 100k Interactions 13 Mar 2023 jrobine/twm/twm/world_model.py 173854afd0798188 unverified MIT (permissive)
Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator 30 Apr 2022 kyxscut/CG-GAN/models/networks.py 06d32a82871f6c23 ran · metamorphic tier: invariant no licence file found · pointer only
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations 3 Mar 2022 HazyResearch/correct-n-contrast/contrastive_network.py 2b35ce7f87cc3db1 ran Apache-2.0 (permissive)
Federated Learning Based on Dynamic Regularization 8 Nov 2021 thejungwon/gc-fed/algorithms/gcfed.py cff80b8ecb8c8c99 ran · metamorphic tier: deterministic no licence file found · pointer only
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction 20 Aug 2021 selflein/MG-GAN/mggan/model/modules/discriminators.py 8a8a07750d95c720 ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise 21 Jun 2021 hongxin001/JoCoR/algorithm/jocor.py c15655fa5cf01c52 ran · metamorphic tier: invariant no licence file found · pointer only
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers 26 May 2021 YujiaBao/Predict-then-Interpolate/src/training/ours.py ca25c33b3ca5cfdf ran · metamorphic tier: invariant MIT (permissive)
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting 10 May 2021 Z-GCNETs/Z-GCNETs/model/ZGCNETs.py ace626efd2e7365c ran · metamorphic tier: deterministic MIT (permissive)
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States 9 Feb 2020 andreaslillevangbech/PortfolioManager-pytorch/src/agent.py e8f4b1f1ba324a4b ran no licence file found · pointer only
Efficient Neural Architecture Search via Parameter Sharing 9 Feb 2018 MengTianjian/enas-pytorch/micro_child.py eab22bd84e3559c2 ran Apache-2.0 (permissive)
Improved Training of Wasserstein GANs 31 Mar 2017 dylanell/wasserstein-gan/model/wasserstein_gan.py 0ec8f070b436bb82 ran no licence file found · pointer only
EMNIST: an extension of MNIST to handwritten letters 17 Feb 2017 Lornatang/TensorFlow-MNIST/v0_2/models.py 640fbef861b1331b unverified Apache-2.0 (permissive)
Inverse Compositional Spatial Transformer Networks 12 Dec 2016 chenhsuanlin/inverse-compositional-STN/MNIST-tensorflow/graph.py 18200a028bb94600 unverified MIT (permissive)
Inverse Compositional Spatial Transformer Networks 12 Dec 2016 chenhsuanlin/inverse-compositional-STN/traffic-sign-tensorflow/graph.py 927d2eba9569f165 unverified MIT (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 lionelmessi6410/ntga/models/cnn.py 58b75b74e06f3539 unverified Apache-2.0 (permissive)
Wide Residual Networks 23 May 2016 YeongHyeon/WideResNet_WRN-TF2/source/neuralnet.py 91bc66bcedbb1076 unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 ls-da3m0ns/Short-ResNet/model/network.py 8c75ed360f4ed07d unverified GPL-3.0 (copyleft) · pointer only
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 ifestus/rl/dqn/dqn.py 39984e4ec10e928e unverified no licence file found · pointer only
Playing Atari with Deep Reinforcement Learning 19 Dec 2013 FauzaanQureshi/deep-Q-learning/CNN.py ed92e17b3aae8048 unverified no licence file found · pointer only
Playing Atari with Deep Reinforcement Learning 19 Dec 2013 parilo/rl-server/tf_rl/conv_model.py 986b511bd19889fc unverified no licence file found · pointer only

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