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warmup_linear

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

warmup_linear appears in the code Syntology harvested for 45 papers, as 9 distinct code bodies found in 45 places (a place is one code body under one paper). At least one of them ran in 40 of the papers; 5 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 warmup_linear 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 5 of the 9 distinct code bodies named warmup_linear; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

5ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
4unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 45 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

45 papers shown of 45, newest first; 45 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 e0960afdb0d64aa7 ran · honoured contract fingerprinted no licence file found · pointer only
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval 29 Sep 2023 leolee99/PAU/modules/optimization.py e0960afdb0d64aa7 ran · honoured contract fingerprinted MIT (permissive)
Multi-event Video-Text Retrieval 22 Aug 2023 gengyuanmax/MeVTR/modules/optimization.py e0960afdb0d64aa7 ran · honoured contract fingerprinted 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 e0960afdb0d64aa7 ran · honoured contract fingerprinted 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 c58d57224530d17e ran · honoured contract fingerprinted MIT (permissive)
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? 31 Dec 2022 whwu95/Cap4Video/modules/optimization.py e0960afdb0d64aa7 ran · honoured contract fingerprinted MIT (permissive)
Cross-Modal Adapter for Text-Video Retrieval 17 Nov 2022 leaplabthu/cross-modal-adapter/modules/optimization.py e0960afdb0d64aa7 ran · honoured contract fingerprinted Apache-2.0 (permissive)
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation 19 Oct 2022 identical code first harvested elsewhere c58d57224530d17e ran · honoured contract fingerprinted licence of this copy not recorded
Disentangled Representation Learning for Text-Video Retrieval 14 Mar 2022 foolwood/DRL/tvr/models/optimization.py e0960afdb0d64aa7 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Graph Based Network with Contextualized Representations of Turns in Dialogue 9 Sep 2021 blacknoodle/tucore-gcn/optimization.py c58d57224530d17e ran · honoured contract fingerprinted MIT (permissive)
WebQA: Multihop and Multimodal QA 1 Sep 2021 shubham-gupta-iitr/mmmlX/pytorch_pretrained_bert/optimization.py 806f7e4b56361b23 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Knowledge Perceived Multi-modal Pretraining in E-commerce 20 Aug 2021 yushanzhu/k3m/train_concap_struc.py e0960afdb0d64aa7 ran · honoured contract fingerprinted MIT (permissive)
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances 4 Jun 2021 microsoft/DialoGPT/lsp_model/optim.py b9677405617b9ad6 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 c58d57224530d17e ran · honoured contract fingerprinted MIT (permissive)
Few-NERD: A Few-Shot Named Entity Recognition Dataset 16 May 2021 thunlp/Few-NERD/util/framework.py 8570f28ccf82469e ran · honoured contract fingerprinted Apache-2.0 (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 e0960afdb0d64aa7 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Matching-oriented Product Quantization For Ad-hoc Retrieval 16 Apr 2021 microsoft/MoPQ/utils/utils.py e8dcf12045bcc046 unverified MIT (permissive)
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning 30 Dec 2020 identical code first harvested elsewhere 43676c538c76c491 ran · honoured contract fingerprinted licence of this copy not recorded
Improving BERT Performance for Aspect-Based Sentiment Analysis 22 Oct 2020 IMPLabUniPr/BERT-for-ABSA/src/run_ae.py c58d57224530d17e ran · honoured contract fingerprinted Apache-2.0 (permissive)
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs 5 Jul 2020 DeepGraphLearning/FewShotRE/fewshot_re_kit/framework.py 8570f28ccf82469e ran · honoured contract fingerprinted MIT (permissive)
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation 8 Apr 2020 thu-coai/KdConv/benchmark/bertret/run_BERTRetrieval.py c58d57224530d17e ran · honoured contract fingerprinted Apache-2.0 (permissive)
Stacked DeBERT: All Attention in Incomplete Data for Text Classification 1 Jan 2020 gcunhase/StackedDeBERT/run_stacked_debert_dae_classifier.py c58d57224530d17e ran · honoured contract fingerprinted MIT (permissive)
Contextualized Sparse Representations for Real-Time Open-Domain Question Answering 7 Nov 2019 jhyuklee/sparc/optimization.py c58d57224530d17e ran · honoured contract fingerprinted Apache-2.0 (permissive)
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation 1 Nov 2019 GraphGrailAi/DialoGPT/lsp_model/optim.py b9677405617b9ad6 unverified MIT recorded; this copy not marked cleared · pointer only
Masked Language Model Scoring 31 Oct 2019 identical code first harvested elsewhere c58d57224530d17e ran · honoured contract fingerprinted licence of this copy not recorded
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification 16 Oct 2019 thunlp/fewrel/fewshot_re_kit/framework.py 8570f28ccf82469e ran · honoured contract fingerprinted MIT (permissive)
A Logic-Driven Framework for Consistency of Neural Models 31 Aug 2019 utahnlp/consistency/bert_adam.py e0960afdb0d64aa7 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Patient Knowledge Distillation for BERT Model Compression 25 Aug 2019 eunanomist/PKD_BERT/BERT/pytorch_pretrained_bert/optimization.py e0960afdb0d64aa7 ran · honoured contract fingerprinted MIT recorded; this copy not marked cleared · pointer only
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking 17 Jul 2019 SKTBrain/SUMBT/code/main-multislot.py c58d57224530d17e ran · honoured contract fingerprinted MIT (permissive)
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index 13 Jun 2019 uwnlp/denspi/optimization.py c58d57224530d17e ran · honoured contract fingerprinted Apache-2.0 (permissive)
Open Sesame: Getting Inside BERT's Linguistic Knowledge 4 Jun 2019 yongjie-lin/bert-opensesame/pytorch_pretrained_bert/optimization.py c58d57224530d17e ran · honoured contract fingerprinted Apache-2.0 (permissive)
Personalizing Dialogue Agents via Meta-Learning 24 May 2019 HLTCHKUST/PAML/utils/load_bert.py c58d57224530d17e ran · honoured contract fingerprinted MIT (permissive)
ERNIE: Enhanced Language Representation with Informative Entities 17 May 2019 thunlp/ERNIE/code/run_pretrain.py 43676c538c76c491 ran · honoured contract fingerprinted MIT (permissive)
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis 3 Apr 2019 howardhsu/BERT-for-RRC-ABSA/pytorch-pretrained-bert/src/run_rrc.py c58d57224530d17e ran · honoured contract fingerprinted Apache-2.0 (permissive)
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence 22 Mar 2019 HSLCY/ABSA-BERT-pair/optimization.py c58d57224530d17e ran · honoured contract fingerprinted MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 Microsoft/AzureML-BERT/finetune/PyTorch/azureml_bert_util.py c58d57224530d17e ran · honoured contract fingerprinted MIT (permissive)
Learning Approximate Inference Networks for Structured Prediction 9 Mar 2018 identical code first harvested elsewhere c58d57224530d17e ran · honoured contract fingerprinted licence of this copy not recorded
Decoupled Weight Decay Regularization 14 Nov 2017 huggingface/pytorch-openai-transformer-lm/opt.py db7025fa144619f4 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 c58d57224530d17e ran · honoured contract fingerprinted MIT (permissive)
arXiv:aaai_32468 airsplay/LXMERT/src/lxrt/optimization.py e0960afdb0d64aa7 ran · honoured contract fingerprinted MIT (permissive)
arXiv:aaai_17659 frankaging/Quasi-Attention-ABSA/code/util/optimization.py c58d57224530d17e ran · honoured contract fingerprinted MIT (permissive)
arXiv:Diao_UniPT_Universal_Parallel_Tuning_for_Transfer_Learning_with_Efficient_Parameter_CVPR_2024_paper Paranioar/UniPT/CLIP4Clip/modules/optimization.py e0960afdb0d64aa7 ran · honoured contract fingerprinted Apache-2.0 (permissive)
arXiv:2022.findings-emnlp.176 LuJunru/TranCLR/code/optimization.py c58d57224530d17e ran · honoured contract fingerprinted MIT (permissive)
arXiv:2021.naacl-main.231 cuhksz-nlp/ASA-TGCN/optimization.py 8548a0e877577e58 unverified MIT (permissive)
arXiv:2021.emnlp-main.518 hyounghk/NDH-FULL/tasks/NDH_full/optimization.py e0960afdb0d64aa7 ran · honoured contract fingerprinted 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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