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warmup_cosine

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

warmup_cosine appears in the code Syntology harvested for 30 papers, as 4 distinct code bodies found in 30 places (a place is one code body under one paper). At least one of them ran in 1 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 warmup_cosine 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 1 of the 4 distinct code bodies named warmup_cosine; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
3unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 30 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

30 papers shown of 30, newest first; 30 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; 6 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
TAME: Temporal-Aware Mixture-of-Experts for Text-Video Retrieval added by Syntology 2026-09 (from id) sejong-rcv/TAME/modules/optimization.py 20b3d25ba1b796e5 unverified no licence file found · pointer only
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval 29 Sep 2023 leolee99/PAU/modules/optimization.py 20b3d25ba1b796e5 unverified MIT (permissive)
Multi-event Video-Text Retrieval 22 Aug 2023 gengyuanmax/MeVTR/modules/optimization.py 20b3d25ba1b796e5 unverified no licence file found · pointer only
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment 20 May 2023 jpthu17/DiCoSA/tvr/models/optimization.py 20b3d25ba1b796e5 unverified Apache-2.0 (permissive)
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs 3 May 2023 fengbinzhu/doc2soargraph/etr/model/optimizer.py 35f7cddf90dd05d4 unverified MIT (permissive)
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? 31 Dec 2022 whwu95/Cap4Video/modules/optimization.py 20b3d25ba1b796e5 unverified MIT (permissive)
Cross-Modal Adapter for Text-Video Retrieval 17 Nov 2022 leaplabthu/cross-modal-adapter/modules/optimization.py 20b3d25ba1b796e5 unverified Apache-2.0 (permissive)
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation 19 Oct 2022 Yueeeeeeee/Self-Supervised-QA/src/run_qada.py 35f7cddf90dd05d4 unverified no licence file found · pointer only
Disentangled Representation Learning for Text-Video Retrieval 14 Mar 2022 foolwood/DRL/tvr/models/optimization.py 20b3d25ba1b796e5 unverified Apache-2.0 (permissive)
SurvTRACE: Transformers for Survival Analysis with Competing Events 2 Oct 2021 RyanWangZf/SurvTRACE/survtrace/train_utils.py 20b3d25ba1b796e5 unverified MIT (permissive)
Graph Based Network with Contextualized Representations of Turns in Dialogue 9 Sep 2021 blacknoodle/tucore-gcn/optimization.py 35f7cddf90dd05d4 unverified MIT (permissive)
WebQA: Multihop and Multimodal QA 1 Sep 2021 shubham-gupta-iitr/mmmlX/pytorch_pretrained_bert/optimization.py 35f7cddf90dd05d4 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances 4 Jun 2021 microsoft/DialoGPT/lsp_model/optim.py 35f7cddf90dd05d4 unverified MIT (permissive)
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance 17 May 2021 NExTplusplus/TAT-QA/tag_op/tagop/optimizer.py 35f7cddf90dd05d4 unverified MIT (permissive)
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval 20 Apr 2021 Albert-Ma/PROP/pytorch_pretrain_bert/optimization.py 007a8d2955fb555d unverified Apache-2.0 (permissive)
Contextualized Sparse Representations for Real-Time Open-Domain Question Answering 7 Nov 2019 jhyuklee/sparc/optimization.py 35f7cddf90dd05d4 unverified Apache-2.0 (permissive)
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation 1 Nov 2019 GraphGrailAi/DialoGPT/lsp_model/optim.py 35f7cddf90dd05d4 unverified MIT recorded; this copy not marked cleared · pointer only
A Logic-Driven Framework for Consistency of Neural Models 31 Aug 2019 utahnlp/consistency/bert_adam.py 35f7cddf90dd05d4 unverified Apache-2.0 (permissive)
Patient Knowledge Distillation for BERT Model Compression 25 Aug 2019 eunanomist/PKD_BERT/BERT/pytorch_pretrained_bert/optimization.py 007a8d2955fb555d unverified MIT recorded; this copy not marked cleared · pointer only
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index 13 Jun 2019 uwnlp/denspi/optimization.py 35f7cddf90dd05d4 unverified Apache-2.0 (permissive)
Open Sesame: Getting Inside BERT's Linguistic Knowledge 4 Jun 2019 yongjie-lin/bert-opensesame/pytorch_pretrained_bert/optimization.py 35f7cddf90dd05d4 unverified Apache-2.0 (permissive)
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence 22 Mar 2019 HSLCY/ABSA-BERT-pair/optimization.py 35f7cddf90dd05d4 unverified MIT (permissive)
Decoupled Weight Decay Regularization 14 Nov 2017 huggingface/pytorch-openai-transformer-lm/opt.py 88472ac3b24f5c40 ran · honoured contract fingerprinted MIT (permissive)
Convolutional Neural Networks for Sentence Classification 25 Aug 2014 yschoi-nisp/AI-Grand-Challenge-2020/pytorch_pretrained_bert/optimization.py 35f7cddf90dd05d4 unverified MIT (permissive)
arXiv:aaai_32468 airsplay/LXMERT/src/lxrt/optimization.py 35f7cddf90dd05d4 unverified MIT (permissive)
arXiv:aaai_17659 frankaging/Quasi-Attention-ABSA/code/util/optimization.py 35f7cddf90dd05d4 unverified MIT (permissive)
arXiv:Diao_UniPT_Universal_Parallel_Tuning_for_Transfer_Learning_with_Efficient_Parameter_CVPR_2024_paper Paranioar/UniPT/CLIP4Clip/modules/optimization.py 20b3d25ba1b796e5 unverified Apache-2.0 (permissive)
arXiv:2022.findings-emnlp.176 LuJunru/TranCLR/code/optimization.py 35f7cddf90dd05d4 unverified MIT (permissive)
arXiv:2021.naacl-main.231 cuhksz-nlp/ASA-TGCN/optimization.py 35f7cddf90dd05d4 unverified MIT (permissive)
arXiv:2021.emnlp-main.518 hyounghk/NDH-FULL/tasks/NDH_full/optimization.py 35f7cddf90dd05d4 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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