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cosine_lr

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

cosine_lr appears in the code Syntology harvested for 31 papers, as 7 distinct code bodies found in 31 places (a place is one code body under one paper). At least one of them ran in 15 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 cosine_lr 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 4 of the 7 distinct code bodies named cosine_lr; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
2ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 31 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

31 papers shown of 31, newest first; 31 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; 2 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
Training-free Task Classification for Multi-Task Model Merging added by Syntology 2026-06 (from id) BAIKLAB/SiM/src/utils.py 2d5d7a12d8de02b7 ran no licence file found · pointer only
Model Merging on Loss Landscape: A Geometry Perspective added by Syntology 2026-05 (from id) mlfoundations/task_vectors/src/utils.py 2d5d7a12d8de02b7 ran no licence file found · pointer only
Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning added by Syntology 2026-05 (from id) KeiHiroshima/tunable-magmax/src/utils.py 2d5d7a12d8de02b7 ran MIT (permissive)
Calibrating Uncertainty for Zero-Shot Adversarial CLIP added by Syntology 2025-12 (from id) VivienLu/UCAT/utils.py 932d44bbf8bd0e3f unverified no licence file found · pointer only
arXiv:2507.12998 2025-07 (from id) MediaBrain-SJTU/DISSect/src/scheduler.py 932d44bbf8bd0e3f unverified no licence file found · pointer only
CALM: Consensus-Aware Localized Merging for Multi-Task Learning 16 Jun 2025 yankd22/calm/src/utils.py 2d5d7a12d8de02b7 ran no licence file found · pointer only
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs 8 Mar 2025 milkthink-lab/routereval/router/MLPR_LinearR/tools.py 7529a26792fd6da5 unverified MIT (permissive)
Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable Approach 3 Feb 2025 uiuctml/TaskVectorBasis/src/utils.py 2d5d7a12d8de02b7 ran MIT (permissive)
Revisiting Weight Averaging for Model Merging 11 Dec 2024 JH-GEECS/CART_public/src/utils.py 2d5d7a12d8de02b7 ran no licence file found · pointer only
LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations 11 Dec 2024 mengcye/LAION-SG/sgEncoderTraining/training/scheduler.py 932d44bbf8bd0e3f unverified MIT (permissive)
Multimodal Whole Slide Foundation Model for Pathology 29 Nov 2024 mahmoodlab/titan/titan/finetune.py e5ad400fe0abbe9a ran · our draft was wrong no licence file found · pointer only
Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation 28 Nov 2024 lorebianchi98/Talk2DINO/src/train_util.py 932d44bbf8bd0e3f unverified Apache-2.0 (permissive)
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery 18 Oct 2024 EnnengYang/SurgeryV2/src/utils.py 2d5d7a12d8de02b7 ran no licence file found · pointer only
NegMerge: Consensual Weight Negation for Strong Machine Unlearning 8 Oct 2024 naver-ai/negmerge/CLIP_MU/src/utils.py 2d5d7a12d8de02b7 ran no licence file found · pointer only
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment 3 Sep 2024 Visual-Computing/MCIP/MCIP/src/realignment/scheduler.py 932d44bbf8bd0e3f unverified Apache-2.0 (permissive)
Efficient Vision-Language Pre-training by Cluster Masking 14 May 2024 zi-hao-wei/efficient-vision-language-pre-training-by-cluster-masking/training/scheduler.py 932d44bbf8bd0e3f unverified no licence file found · pointer only
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application 7 May 2024 adxcreative/LEARN/src/training/scheduler.py 932d44bbf8bd0e3f unverified MIT (permissive)
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective 30 Apr 2024 ellezwq/mmcoa/utils.py 932d44bbf8bd0e3f unverified MIT (permissive)
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness 9 Jan 2024 serendipity1122/Pre-trained-Model-Guided-Fine-Tuning-for-Zero-Shot-Adversarial-Robustness/utils.py 932d44bbf8bd0e3f unverified no licence file found · pointer only
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No 23 Aug 2023 xmed-lab/clipn/src/tuning_util.py 2d5d7a12d8de02b7 ran MIT (permissive)
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining 10 Aug 2023 haoheliu/audioldm-training-finetuning/audioldm_train/modules/clap/training/scheduler.py 932d44bbf8bd0e3f unverified MIT (permissive)
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models 22 May 2023 gortizji/tangent_task_arithmetic/src/utils.py 2d5d7a12d8de02b7 ran MIT (permissive)
Simulated Annealing in Early Layers Leads to Better Generalization 10 Apr 2023 amiiir-sarfi/seal/core.py 2e32661e8d23fbbb ran · our draft was wrong no licence file found · pointer only
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images 27 Feb 2023 xiaoman-zhang/kad/A2_KEBERT/training/scheduler.py 932d44bbf8bd0e3f unverified MIT (permissive)
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval 1 Sep 2022 openmatch/univl-dr/UniVL-DR/gen_embeddings.py 932d44bbf8bd0e3f unverified MIT (permissive)
Patching open-vocabulary models by interpolating weights 10 Aug 2022 mlfoundations/patching/src/utils.py 2d5d7a12d8de02b7 ran MIT (permissive)
Exploring Visual Prompts for Adapting Large-Scale Models 31 Mar 2022 hjbahng/visual_prompting/utils.py 932d44bbf8bd0e3f unverified MIT (permissive)
Reverse Engineering of Imperceptible Adversarial Image Perturbations 26 Mar 2022 yifanfanfanfan/reverse-engineering-of-imperceptible-adversarial-image-perturbations/RED_train_with_trans.py c5196b556b5ecc5a unverified MIT (permissive)
Knowledge Evolution in Neural Networks 9 Mar 2021 ahmdtaha/knowledge_evolution/KE_model.py e00ffa6d0e1a9ddb ran Apache-2.0 (permissive)
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech 29 Nov 2018 ychnlgy/Chebyshev-Lagrange/shake-shake_pytorch/utils.py 7529a26792fd6da5 unverified MIT (permissive)
arXiv:aaai_27950 gaojingsheng/LAMM/utils.py 2d5d7a12d8de02b7 ran 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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