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get_cosine_schedule_with_warmup

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

get_cosine_schedule_with_warmup appears in the code Syntology harvested for 42 papers, as 23 distinct code bodies found in 43 places (a place is one code body under one paper). At least one of them ran in 23 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 get_cosine_schedule_with_warmup 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 14 of the 23 distinct code bodies named get_cosine_schedule_with_warmup; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
10ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 43 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

42 papers shown of 42, newest first; 43 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 4 papers added by Syntology; 5 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
Tokenizer-Generator Coupling in Medical Image Generation added by Syntology 2026-08 (from id) liamchalcroft/medlatents/src/medlatents/common/schedules.py 6d05388476add5d7 ran MIT (permissive)
Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need added by Syntology 2026-06 (from id) creatis-myriad/GENESIS/src/genesis/models/optim.py 3e4c1f48e1424fd6 ran Apache-2.0 (permissive)
Empirical Gaussian Processes added by Syntology 2026-02 (from id) automl/lcpfn/lcpfn/utils.py 27eef3d1756af918 unverified MIT (permissive)
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning added by Syntology 2025-10 (from id) automl/ifBO/ifbo/utils.py b5f6521e91575128 unverified MIT (permissive)
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning added by Syntology 2025-10 (from id) db-Lee/CFBO/utils.py a9c14b9fb71dbe7c unverified no licence file found · pointer only
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation 16 Jun 2025 happypointer/llm2rec/llm2rec/run_csft.py 603780a8016d3c0d unverified no licence file found · pointer only
Unpacking Positional Encoding in Transformers: A Spectral Analysis of Content-Position Coupling 19 May 2025 Qihuai27/Deposit-Pattern-Research/count_gen/2_models/mla.py a4db0bd7edafd91d ran · our draft was wrong MIT (permissive)
VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation 9 Mar 2025 Hritikbansal/videophy/VIDEOPHY2/utils.py 97b29adf427aa64e ran MIT (permissive)
Detecting Music Performance Errors with Transformers 3 Jan 2025 ben2002chou/polytune/tasks/polytune_net.py df488bbe22b9bd2c ran · our draft was wrong licence not identified · pointer only
Classifier-free guidance in LLMs Safety 8 Dec 2024 rgsmirnov/cfg_safety_llm/train_orpo.py 268d8edf04ec9d98 ran · our draft was wrong no licence file found · pointer only
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF 6 Oct 2024 zhaolingao/refuel/setting_one/refuel.py 70c923c8290a4fcc ran Apache-2.0 (permissive)
Bayes' Power for Explaining In-Context Learning Generalizations 2 Oct 2024 samuelgabriel/bayesgeneralizations/pfns/utils.py a9c14b9fb71dbe7c unverified Apache-2.0 (permissive)
Learning Long Range Dependencies on Graphs via Random Walks 5 Jun 2024 borgwardtlab/neuralwalker/neuralwalker/lr_schedulers.py be4dbd83bb917452 ran BSD-3-Clause (permissive)
REBEL: Reinforcement Learning via Regressing Relative Rewards 25 Apr 2024 zhaolingao/rebel/src/ultrafeedback_largebatch/rebel.py 70c923c8290a4fcc ran Apache-2.0 (permissive)
Length Generalization of Causal Transformers without Position Encoding 18 Apr 2024 antnlp/nope_head_scale/trainer.py 4ea60bb6b675e2d1 ran MIT (permissive)
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification 17 Apr 2024 kunzhan/infomatch/infoMatch_STL.py 99c1dcab51b21ada ran · our draft was wrong no licence file found · pointer only
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation 13 Apr 2024 MQinghe/MiDSS/code/train_MNMS.py 26ea400f0a8a65f4 ran Apache-2.0 (permissive)
Interpretable Machine Learning for TabPFN 16 Mar 2024 david-rundel/tabpfn_iml/tabpfniml/tabpfn_interpret/utils.py a9c14b9fb71dbe7c unverified MIT (permissive)
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark 12 Mar 2024 X-PLUG/mPLUG-Owl/mPLUG-Owl/pipeline/utils.py 97b29adf427aa64e ran MIT (permissive)
Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding 7 Feb 2024 zankner/hydra/hydra/train/utils.py 48e7f6a3de154240 ran Apache-2.0 (permissive)
Learning a Decision Tree Algorithm with Transformers 6 Feb 2024 evanzhuang/metatree/metatree/utils.py a9c14b9fb71dbe7c unverified MIT (permissive)
Large Language Models are Good Prompt Learners for Low-Shot Image Classification 7 Dec 2023 zhaohengz/llamp/train_llamp.py f0dc6096293370b9 unverified MIT (permissive)
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning 17 Nov 2023 yue-fan/ssb/main_sim_ssb.py 99c1dcab51b21ada ran · our draft was wrong no licence file found · pointer only
AMR Parsing with Causal Hierarchical Attention and Pointers 18 Oct 2023 LouChao98/chap_amr_parser/src/utils/scheduler.py c22b41d2390329a9 ran MIT (permissive)
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model 8 Oct 2023 lukeforeveryoung/ureader/pipeline/utils.py 97b29adf427aa64e ran Apache-2.0 (permissive)
Cooperative Graph Neural Networks 2 Oct 2023 benfinkelshtein/CoGNN/lrgb/cosine_scheduler.py a705a9d02d470c8e ran MIT (permissive)
Multi-Task Learning of Object State Changes from Uncurated Videos 24 Nov 2022 soCzech/MultiTaskObjectStates/method/utils.py 2922f4a76291822f unverified MIT (permissive)
Cross-Modal Adapter for Text-Video Retrieval 17 Nov 2022 leaplabthu/cross-modal-adapter/modules/optimization_xpool.py 28936c41e64792bd unverified Apache-2.0 (permissive)
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach 2 Nov 2022 kai-wen-yang/lpa3/FixMatch/fixmatch_LPA3.py 99c1dcab51b21ada ran · our draft was wrong no licence file found · pointer only
On the Utility of Self-supervised Models for Prosody-related Tasks 13 Oct 2022 jsalt-2022-ssl/superb-prosody/s3prl/schedulers.py 28936c41e64792bd unverified Apache-2.0 (permissive)
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages 24 Aug 2022 AI4Bharat/indicSUPERB/s3prl/schedulers.py 28936c41e64792bd unverified Apache-2.0 (permissive)
Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos 22 Mar 2022 soCzech/LookForTheChange/method/utils.py 2922f4a76291822f unverified MIT (permissive)
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers 28 May 2021 VisionLearningGroup/OP_Match/utils/default.py 99c1dcab51b21ada ran · our draft was wrong MIT (permissive)
SUPERB: Speech processing Universal PERformance Benchmark 3 May 2021 joselyn-rodriguez/s3prl/s3prl/schedulers.py 28936c41e64792bd unverified Apache-2.0 (permissive)
FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention 27 Oct 2020 yistLin/FragmentVC/models/utils.py 28936c41e64792bd unverified MIT (permissive)
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech 12 Jul 2020 Vernacular-ai/Multimodal-Slu/schedulers.py 28936c41e64792bd unverified MIT (permissive)
Meta Pseudo Labels 23 Mar 2020 ifsheldon/MPL_Lightning/mpl_lightning/pl_modules.py ddf3bcf79dbb01ce unverified MIT (permissive)
End-to-End Learning of Visual Representations from Uncurated Instructional Videos 13 Dec 2019 antoine77340/milnce_howto100m/utils.py a9c14b9fb71dbe7c unverified Apache-2.0 (permissive)
arXiv:aaai_29068 NJUyued/SoC4SS-FGVC/train_utils.py 26ea400f0a8a65f4 ran MIT (permissive)
arXiv:Zheng_Large_Language_Models_are_Good_Prompt_Learners_for_Low-Shot_Image_CVPR_2024_paper zhaohengz/LLaMP/train_llamp.py f0dc6096293370b9 unverified MIT (permissive)
arXiv:2023.findings-emnlp.187 LukeForeverYoung/UReader/pipeline/utils.py 97b29adf427aa64e ran Apache-2.0 (permissive)
arXiv:136970483 exped1230/S2-VER/train_utils.py 26ea400f0a8a65f4 ran MIT (permissive)
arXiv:04825 Zongliang-Wu/LADE-DUN/train_code_real/schedulers.py 2c6be7bea93f6921 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".

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