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make_loss

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

make_loss appears in the code Syntology harvested for 17 papers, as 14 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 0 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 make_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 0 of the 14 distinct code bodies named make_loss; 14 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
0ran · fixture could not drive it
0ran
14unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 17 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

17 papers shown of 17, newest first; 17 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; 3 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
MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification added by Syntology 2025-10 (from id) stone96123/MDReID/layers/make_loss.py ec30e45d4554b0e6 unverified no licence file found · pointer only
Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function 31 Jan 2025 csubich/graphcast/trainer/loss_utils.py a9ccb9594aa81ac4 unverified Apache-2.0 (permissive)
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification 14 Dec 2024 924973292/demo/layers/make_loss.py ec30e45d4554b0e6 unverified MIT (permissive)
Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification 15 Mar 2024 924973292/EDITOR/layers/make_loss.py 2e6109d5214f6e2a unverified MIT (permissive)
TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification 15 Dec 2023 asuradayuci/tf-clip/loss/make_loss.py 38f935583212d5cc unverified MIT (permissive)
TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation 15 Dec 2023 924973292/top-reid/layers/make_loss.py ec30e45d4554b0e6 unverified MIT (permissive)
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification 24 Jun 2023 raywang335/L2RCLIP/loss/make_loss.py 0fe9165ed9ea4d70 unverified MIT (permissive)
DC-Former: Diverse and Compact Transformer for Person Re-Identification 28 Feb 2023 ant-research/Diverse-and-Compact-Transformer/loss/make_loss.py 9eadacf338161ccb unverified MIT (permissive)
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification 23 Nov 2021 damo-cv/TransReID-SSL/transreid_pytorch/loss/make_loss.py b26b436199409345 unverified MIT recorded; this copy not marked cleared · pointer only
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation 13 Sep 2021 cdtrans/cdtrans/loss/make_loss.py 2b5e77e0deb72f1b unverified MIT (permissive)
An Empirical Study of Vehicle Re-Identification on the AI City Challenge 20 May 2021 michuanhaohao/AICITY2021_Track2_DMT/loss/make_loss.py 4b889f410e8c0400 unverified MIT (permissive)
Bag of Tricks and A Strong Baseline for Deep Person Re-identification 17 Mar 2019 lulujianjie/person-reid-tiny-baseline/loss/make_loss.py 4006e936d30ac573 unverified MIT (permissive)
Learning Discriminative Features with Multiple Granularities for Person Re-Identification 4 Apr 2018 WangTaoAs/MGN_ReID/loss/make_loss.py 78f5737686a6d6fd unverified Apache-2.0 (permissive)
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking 6 Sep 2016 hh23333/tsd/loss/make_loss.py 098df16b204ff65f unverified MIT (permissive)
arXiv:aaai_32878 924973292/DeMo/layers/make_loss.py ec30e45d4554b0e6 unverified MIT (permissive)
arXiv:aaai_28398 ziwang1121/HTT/loss/make_loss.py d82f0ad0e206efec unverified MIT (permissive)
arXiv:aaai_25225 Syliz517/CLIP-ReID/loss/make_loss.py 5f0548f20386c258 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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