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ConvNet

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

ConvNet appears in the code Syntology harvested for 13 papers, as 14 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 12 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 ConvNet 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 13 of the 14 distinct code bodies named ConvNet; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
13ran
1unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 14 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

13 papers shown of 13, newest first; 14 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. 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
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks 3 Oct 2024 bigml-cs-ucla/mkdt/distill.py ca6e6ec945d065f2 ran no licence file found · pointer only
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges 5 Jun 2024 NohyunKi/BWS/model/convnet.py 2dfd0d1de2e58612 ran no licence file found · pointer only
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching 28 May 2024 Yongalls/SelMatch/distill.py cf3443b66d74eec0 ran · metamorphic tier: deterministic no licence file found · pointer only
DataDAM: Efficient Dataset Distillation with Attention Matching 29 Sep 2023 datadistillation/datadam/main_DataDAM.py cacbe6eda6096eec ran · metamorphic tier: deterministic no licence file found · pointer only
CAFE: Learning to Condense Dataset by Aligning Features 3 Mar 2022 kaiwang960112/cafe/distill.py 1a326419c73ee5da ran no licence file found · pointer only
Classification-Based Anomaly Detection for General Data 5 May 2020 xuhongzuo/DeepOD/deepod/models/tabular/goad.py 51a1f05a69ec1e74 ran fingerprinted BSD-2-Clause (permissive)
Gradient Boosted Normalizing Flows 27 Feb 2020 robert-giaquinto/gradient-boosted-normalizing-flows/models/boosted_flow.py 85e265af1f8b4721 unverified MIT (permissive)
Never Give Up: Learning Directed Exploration Strategies 14 Feb 2020 YHL04/agent57/curiosity/episodicnovelty.py c31a9de8654051ec ran MIT (permissive)
Prototypical Networks for Few-shot Learning 15 Mar 2017 HenryCWoo/LTLProject/models/convnet_mini.py 0c8ab3061fc4f61b ran · metamorphic tier: deterministic MIT (permissive)
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 9 Mar 2017 crashmoon/MAML-Pytorch-Multi-GPUs/meta_learner.py 5d78dd8984d02527 ran · metamorphic tier: deterministic no licence file found · pointer only
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 seacevedo/ReinforcementLearningProjects/ddqn.py e8bea3ffc28d3e32 ran · metamorphic tier: deterministic no licence file found · pointer only
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 yzheng51/rl-dino-run/agent.py d7c5b75c3f5b0451 ran · metamorphic tier: invariant MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 condiff-dataset/ConDiff/architectures/UNet.py ddefc9039f608382 ran MIT (permissive)
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 11 Feb 2015 yzheng51/rl-dino-run/model.py 275928042f41cfff ran · metamorphic tier: invariant 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".

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