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cosine_loss

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

cosine_loss appears in the code Syntology harvested for 10 papers, as 9 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 3 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_loss 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 cosine_loss; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
4ran
4unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 10 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

10 papers shown of 10, newest first; 10 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. 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
MuseTalk: Real-Time High-Fidelity Video Dubbing via Spatio-Temporal Sampling 14 Oct 2024 tmelyralab/musetalk/musetalk/loss/syncnet.py 9fd8f5e1bf80ffb7 ran fingerprinted licence not identified · pointer only
SEED-Story: Multimodal Long Story Generation with Large Language Model 11 Jul 2024 tencentarc/seed-story/src/models/discrete_models.py 66a2fe5698649c4c ran fingerprinted licence not identified · pointer only
SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing 7 May 2024 ailab-cvc/seed-x/src/models/mllm/seed_x.py 66a2fe5698649c4c ran fingerprinted no licence file found · pointer only
Dexterous Grasp Transformer 2024-04 (from id) iSEE-Laboratory/DGTR/model/loss/grasp_loss.py 90e4d52da46fc200 ran MIT (permissive)
BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings 9 Nov 2023 SeanLee97/AnglE/angle_emb/loss.py 0f81bf914723e107 ran fingerprinted MIT (permissive)
Consistency-guided Prompt Learning for Vision-Language Models 1 Jun 2023 shuvenduroy/coprompt/trainers/coprompt.py b45d4ac2bba7e906 unverified MIT (permissive)
SinDDM: A Single Image Denoising Diffusion Model 29 Nov 2022 fallenshock/SinDDM/text2live_util/clip_extractor.py 5d22565dca56b90b unverified MIT (permissive)
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild 23 Aug 2020 Rudrabha/Wav2Lip/wav2lip_train.py d9906d4f2093fd58 unverified no licence file found · pointer only
Predicting the Accuracy of a Few-Shot Classifier 8 Jul 2020 mbonto/fewshot_generalization/case_study_toolbox/diffusion_graph.py 57cb3daace2b4a07 unverified MIT (permissive)
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results 6 Mar 2017 sud0301/semisup-semseg/train_mlmt.py f9bfc647f202a8e0 ran · fixture could not drive it no licence file found · pointer only

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