Home › Code › param_groups_weight_decay

param_groups_weight_decay

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

param_groups_weight_decay appears in the code Syntology harvested for 18 papers, as 4 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 16 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 param_groups_weight_decay 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 2 of the 4 distinct code bodies named param_groups_weight_decay; 2 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
1ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 18 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

18 papers shown of 18, newest first; 18 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 3 papers added by Syntology. 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
JEPAMatch: Geometric Representation Shaping for Semi-Supervised Learning added by Syntology 2026-04 (from id) aah94/JEPAMatch/semilearn/nets/utils.py 88f4962784e09b88 ran · our draft was wrong no licence file found · pointer only
ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces added by Syntology 2025-10 (from id) warner-benjamin/optimi/optimi/utils.py 61ff1f7c9fe41c1d unverified MIT (permissive)
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning added by Syntology 2025-10 (from id) yaxinhou/CPG/semilearn/nets/utils.py 88f4962784e09b88 ran · our draft was wrong no licence file found · pointer only
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning 12 Jan 2025 yewen1486/emtal/optim_factory.py 88f4962784e09b88 ran · our draft was wrong no licence file found · pointer only
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier 29 Oct 2024 pm25/semi-supervised-regression/semilearn/nets/utils.py 88f4962784e09b88 ran · our draft was wrong MIT (permissive)
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning 24 Aug 2024 daviddaiiiii/san-peft/utils/optim_factory.py 88f4962784e09b88 ran · our draft was wrong no licence file found · pointer only
Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models 3 Jun 2024 sail-sg/adan/CV/timm/optim_factory.py 88f4962784e09b88 ran · our draft was wrong Apache-2.0 (permissive)
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence 24 May 2024 ist-daslab/microadam/huggingface_glue_mnli/glue.py 83a7912b3e0b32f4 ran Apache-2.0 (permissive)
Do not trust what you trust: Miscalibration in Semi-supervised Learning 22 Mar 2024 shambhavicodes/miscalibration-ssl/semilearn/nets/utils.py 88f4962784e09b88 ran · our draft was wrong MIT (permissive)
A General Framework for Learning from Weak Supervision 2 Feb 2024 hhhhhhao/general-framework-weak-supervision/src/nets/utils.py 88f4962784e09b88 ran · our draft was wrong no licence file found · pointer only
Gradient-based Parameter Selection for Efficient Fine-Tuning 15 Dec 2023 FightingFighting/GPS/optim_factory.py 88f4962784e09b88 ran · our draft was wrong MIT (permissive)
InstanT: Semi-supervised Learning with Instance-dependent Thresholds 29 Oct 2023 tmllab/2023_NeurIPS_InstanT/semilearn/nets/utils.py 88f4962784e09b88 ran · our draft was wrong MIT (permissive)
Predicting a Protein's Stability under a Million Mutations 19 Oct 2023 jozhang97/MutateEverything/misc.py 88f4962784e09b88 ran · our draft was wrong no licence file found · pointer only
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization 25 Aug 2023 nukezil/IOMatch/semilearn/nets/utils.py 88f4962784e09b88 ran · our draft was wrong MIT (permissive)
Tuning Pre-trained Model via Moment Probing 21 Jul 2023 mingzeg/moment-probing/optim_factory.py 88f4962784e09b88 ran · our draft was wrong no licence file found · pointer only
Rethinking Semi-supervised Learning with Language Models 22 May 2023 amzn/pretraining-or-self-training/semilearn/nets/utils.py 88f4962784e09b88 ran · our draft was wrong Apache-2.0 (permissive)
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries 27 Apr 2023 nasaharvest/presto/presto/model.py f409f17280b8d88e unverified MIT (permissive)
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning 17 Oct 2022 dongzelian/ssf/optim_factory.py 88f4962784e09b88 ran · our draft was wrong 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