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triplet_loss

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

triplet_loss appears in the code Syntology harvested for 14 papers, as 21 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 3 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 triplet_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 8 of the 21 distinct code bodies named triplet_loss; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
4ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
13unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 25 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

14 papers shown of 14, newest first; 25 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. 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
FastPFRec: A Fast Personalized Federated Recommendation with Secure Sharing ⋆ added by Syntology 2026-03 (from id) yanzhenxing123/FastPFRec/util/loss_torch.py 029e212249aae32c unverified Apache-2.0 (permissive)
SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation 1 May 2024 jeongwhanchoi/scone/util/loss_torch.py 029e212249aae32c unverified MIT (permissive)
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives 7 Mar 2024 me-sonandme/DGR/util/loss_torch.py 029e212249aae32c unverified no licence file found · pointer only
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification 18 Jan 2024 yu-rp/dualprism/DIG/dig/auggraph/method/DualPrism/utils/utils.py c6e56bc4d0f6bab6 ran no licence file found · pointer only
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning 20 Nov 2023 LiangSiyuan21/BadCLIP/src/embeding_optimize_patch.py 11cf7e14cfed92f1 ran · violated contract fingerprinted MIT (permissive)
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages 27 Jan 2022 e-bug/volta/volta/task_utils.py b8c86cabecffbff9 unverified MIT (permissive)
Face Transformer for Recognition 27 Mar 2021 martlgap/octuplet-loss/pt_octuplet_loss.py 1e772459cfdc2c6e unverified MIT (permissive)
Face Transformer for Recognition 27 Mar 2021 martlgap/octuplet-loss/tf_octuplet_loss.py d2e065e4ad181e6c unverified MIT (permissive)
NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation 23 Mar 2021 dachengxiaocheng/NDT-Transformer/loss/loss.py c28d95d8592bb59e unverified MIT (permissive)
ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning 20 Aug 2019 MKLab-ITI/visil/model/similarity.py cb3be0da48af7c2b unverified Apache-2.0 (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 setharram/facenet/facenet.py 2b2d63252761e18c unverified MIT (permissive)
A Modulation Module for Multi-task Learning with Applications in Image Retrieval 17 Jul 2018 Zhaoxiangyun/Multi-Task-Modulation-Module/facenet.py 2b2d63252761e18c unverified MIT (permissive)
Learning Semantic Textual Similarity from Conversations 20 Apr 2018 nickyeolk/info_retrieve/src/metric_learning.py 370a6e91bad59927 unverified Apache-2.0 (permissive)
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking 6 Sep 2016 adhirajghosh/rptm_reid/loss/losses.py 1c6051bfb55a7834 unverified MIT (permissive)
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 MohamadMerchant/Voice-Authentication-and-Face-Recognition/main_functions.py b2aadaba17e8a78c ran · violated contract no licence file found · pointer only
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 bethelhall/smart-attendance-system/facenet.py 89309d39342a029a ran · honoured contract no licence file found · pointer only
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 vincenthanna/facenet_on_mnist/model/triplet.py 262078ee93f700c2 ran · violated contract no licence file found · pointer only
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 zafartakekh/finddrop/facenet.py 62e8d97d34d21d8c ran · violated contract no licence file found · pointer only
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 deepakks1995/inception/facenet.py da7a6c9372f0f74a ran · honoured contract no licence file found · pointer only
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 AswillHatter/Sondi1/facenet_et.py d807b42f9b5b461d ran · honoured contract no licence file found · pointer only
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 llSeedll/Facial-Recognition-using-Facenet/Train-inception.py 3b00d16587824f18 unverified no licence file found · pointer only
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 Mrzhang3389/FaceRecognition/facenet.py e12bab5dd118bde0 unverified no licence file found · pointer only
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 bruceeeee/facenet/src/facenet.py 594f4133b0b66517 unverified MIT (permissive)
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 petermankowski510/facenet_test/lib/src/facenet.py 2b2d63252761e18c unverified no licence file found · pointer only
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 mlpocprojects/facenet-poc/facenet.py 9e58e3cd206e8749 unverified AGPL-3.0 (copyleft) · 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".

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