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Loss

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

Loss appears in the code Syntology harvested for 19 papers, as 19 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 2 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 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 10 of the 19 distinct code bodies named Loss; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
9ran
9unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 19 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

19 papers shown of 19, newest first; 19 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
RecPFN: Prior-Fitted Networks for In-Context-Based Recommendations added by Syntology 2026-08 (from id) SAP-samples/tabular-ai-recpfn/src/architecture/recpfn.py 1c50e650efdee51d ran Apache-2.0 (permissive)
Diversity in Large Language Models under Supervised Fine-Tuning added by Syntology 2026-05 (from id) rsklypa/TOFU/train/loss_sft.py 6deb6c11dc3cea38 ran no licence file found · pointer only
From Vicious to Virtuous Cycles: Synergistic Representation Learning for Unsupervised Video Object-Centric Learning added by Syntology 2026-02 (from id) hynnsk/SRL/srl/losses.py 69b03cb1053aa22e unverified MIT (permissive)
HP-GAN: Harnessing Pretrained Networks for GAN Improvement with FakeTwins and Discriminator Consistency added by Syntology 2026-02 (from id) higun2/HP-GAN/training/loss.py 2ad520fab504e31d unverified MIT (permissive)
Discriminative Policy Optimization for Token-Level Reward Models 29 May 2025 homzer/q-rm/src/rewards/strategy.py ae4c4703ba50654a ran no licence file found · pointer only
arXiv:2505.20853 2025-05 (from id) strangeAlan/CoE/Cooperation.py 29605b5553e453a0 ran · our draft was wrong fingerprinted no licence file found · pointer only
arXiv:2505.17384 2025-05 (from id) tyuxie/VADD/diffusion.py 0ac157120e5fa303 unverified MIT (permissive)
Remasking Discrete Diffusion Models with Inference-Time Scaling 1 Mar 2025 kuleshov-group/remdm/diffusion.py f0c0a2810b675abb ran Apache-2.0 (permissive)
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients 8 Feb 2024 caioflp/sagd-iv/src/models/sagdiv.py 1ddde67db867d479 unverified no licence file found · pointer only
Multi-granularity Correspondence Learning from Long-term Noisy Videos 30 Jan 2024 XLearning-SCU/2024-ICLR-Norton/mmpt/losses/nce.py 3c604915121f5194 ran Apache-2.0 (permissive)
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities 7 Jun 2023 martius-lab/videosaur/videosaur/losses.py e177df2aa610cdc9 unverified MIT (permissive)
Neural Face Rigging for Animating and Retargeting Facial Meshes in the Wild 15 May 2023 dafei-qin/NFR_pytorch/dataset_preprocess.py ba53eec4cd8756e5 unverified MIT (permissive)
Cross-Domain Image Captioning with Discriminative Finetuning 4 Apr 2023 facebookresearch/EGG/egg/zoo/emcom_as_ssl/losses.py edd2ab1fbde938be ran fingerprinted MIT (permissive)
Contrastive Boundary Learning for Point Cloud Segmentation 10 Mar 2022 LiyaoTang/contrastBoundary/pytorch/model/pointtransformer_seg.py 2c72d93f06bf45a3 unverified MIT (permissive)
The KFIoU Loss for Rotated Object Detection 29 Jan 2022 yangxue0827/RotationDetection/alpharotate/libs/models/losses/losses_kfiou.py 0699e01c78ee6d82 ran Apache-2.0 (permissive)
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation 26 Mar 2021 JBNU-VL/RelEx/models/saliency/optim_methods/relex.py 73b2b4d12392b434 unverified no licence file found · pointer only
Probabilistic Embeddings for Cross-Modal Retrieval 13 Jan 2021 VL-Group/2022-NeurIPS-DAA/model.py bc0cd89064229f55 ran · metamorphic tier: deterministic MIT (permissive)
Instance Selection for GANs 30 Jul 2020 snap-research/3dgp/src/training/loss.py cec2fa3cb3bf036c unverified no licence file found · pointer only
Efficient Generation of Structured Objects with Constrained Adversarial Networks 26 Jul 2020 unitn-sml/CAN/src/fuzzy/losses.py a13b7e1268b3cb8d ran 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