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learning_rate_schedule

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

learning_rate_schedule appears in the code Syntology harvested for 15 papers, as 12 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 3 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 learning_rate_schedule 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 12 distinct code bodies named learning_rate_schedule; 10 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
0ran · fixture could not drive it
0ran
10unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 15 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

15 papers shown of 15, newest first; 15 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 1 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
CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map Models added by Syntology 2025-09 (from id) sony/cmt/training/cmt_training_loop.py 67f3d7aa67fc48b6 unverified MIT (permissive)
Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching 17 Jun 2025 inria-thoth/ddm4ip/ddm4ip/losses/utils.py 25a80a498e6efe47 unverified MIT (permissive)
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation 23 May 2023 crossmodalgroup/maskedvectorquantization/models/stage2/utils.py a7f95a154e8faecc unverified MIT (permissive)
Spatio-temporal Diffusion Point Processes 21 May 2023 identical code first harvested elsewhere 8b8f1350fd69b96d ran · honoured contract fingerprinted licence of this copy not recorded
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation 16 May 2023 idiap/translation-aided-slu/models/model.py 2ae3cdbae25787c9 unverified MIT (permissive)
Robust and Efficient Medical Imaging with Self-Supervision 19 May 2022 google-research/medical-ai-research-foundations/model_util.py fb45bd9f63767265 unverified Apache-2.0 (permissive)
RelaySum for Decentralized Deep Learning on Heterogeneous Data 8 Oct 2021 epfml/relaysgd/algorithms.py 74588f664a9fd301 ran · honoured contract MIT (permissive)
Taxonomizing local versus global structure in neural network loss landscapes 23 Jul 2021 nsfzyzz/loss_landscape_taxonomy/workspace/src/code/Mode_connectivity.py b72258e10ce08c1e unverified MIT (permissive)
Neural Spatio-Temporal Point Processes 9 Nov 2020 facebookresearch/neural_stpp/train_stpp.py 8b8f1350fd69b96d ran · honoured contract fingerprinted licence not identified · pointer only
Big Self-Supervised Models are Strong Semi-Supervised Learners 17 Jun 2020 serre-lab/prj_selfsup/model/model_util.py ea360af54446b02b unverified Apache-2.0 (permissive)
Self-supervised Learning from a Multi-view Perspective 10 Jun 2020 yaohungt/Demystifying_Self_Supervised_Learning/CIFAR10/model_util.py fb45bd9f63767265 unverified MIT (permissive)
Information-Theoretic Local Minima Characterization and Regularization 19 Nov 2019 SeanJia/InfoMCR/src/train_cifar10.py 1217c6df0212451f unverified MIT (permissive)
Class-Balanced Loss Based on Effective Number of Samples 16 Jan 2019 richardaecn/class-balanced-loss/src/cifar_main.py 10fc348fea580bf2 unverified MIT (permissive)
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs 27 Feb 2018 tjwhitaker/prune-and-tune-ensembles/src/utils.py 1bdf337d2589e11b unverified MIT (permissive)
arXiv:aaai_20650 IBM/UAE/Unsupversied/simCLR/model_util.py ea360af54446b02b unverified Apache-2.0 (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