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regularization

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

regularization appears in the code Syntology harvested for 12 papers, as 8 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 6 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 regularization 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 4 of the 8 distinct code bodies named regularization; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
1ran
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 12 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

12 papers shown of 12, newest first; 12 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
FinMultiTime: A Four-Modal Bilingual Dataset for Financial Time-Series Analysis 2025-06 (from id) marigoldwu/pydgc/pydgc/models/dgcluster.py e82410e993da99a0 unverified MIT (permissive)
GCondenser: Benchmarking Graph Condensation 23 May 2024 superallen13/GCondenser/graph_condenser/models/sgdd.py 68ba9924e5b4f043 ran MIT (permissive)
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource 23 Nov 2022 marigoldwu/a-unified-framework-for-deep-attribute-graph-clustering/pydgc/models/dgcluster.py e82410e993da99a0 unverified MIT (permissive)
Learning from Synthetic InSAR with Vision Transformers: The case of volcanic unrest detection 9 Jan 2022 orion-ai-lab/prototypeinsar/Models.py f59c2ee46a72cac8 ran · fixture could not drive it MIT (permissive)
LEAP: Learnable Pruning for Transformer-based Models 30 May 2021 yaozhewei/mlpruning/training/masked_run_glue.py 729d19d073f5c736 ran · honoured contract MIT (permissive)
Movement Pruning: Adaptive Sparsity by Fine-Tuning 15 May 2020 identical code first harvested elsewhere 1e24f40610cc5f59 ran · honoured contract licence of this copy not recorded
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks 12 Nov 2019 zero-or-one/URP/learning/learn_utils.py 4079cde5d6b5a1af unverified MIT (permissive)
Q8BERT: Quantized 8Bit BERT 14 Oct 2019 huggingface/block_movement_pruning/block_movement_pruning/masked_run_squad.py 1e24f40610cc5f59 ran · honoured contract no licence file found · pointer only
Training Neural Networks for and by Interpolation 13 Jun 2019 oval-group/ali-g/experiments/utils.py 46bc8b0a1b81b718 unverified MIT (permissive)
Deep Frank-Wolfe For Neural Network Optimization 19 Nov 2018 oval-group/dfw/experiments/utils.py 46bc8b0a1b81b718 unverified MIT (permissive)
Robust Classification with Convolutional Prototype Learning 9 May 2018 shivgahlout/Robust-Classification-with-Convolutional-Prototype-Learning-Pytorch/Models.py f59c2ee46a72cac8 ran · fixture could not drive it no licence file found · pointer only
Graph Attention Networks 30 Oct 2017 joaopedromattos/gnee/event_graph_utils.py 725414c560fb8a82 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".

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