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hinge_loss

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

hinge_loss appears in the code Syntology harvested for 21 papers, as 20 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 4 of the papers; 4 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 hinge_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 4 of the 20 distinct code bodies named hinge_loss; 16 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
1ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
2ran
16unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 21 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

21 papers shown of 21, newest first; 21 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
SPECS: Specificity-Enhanced CLIPScore for Long Image Caption Evaluation added by Syntology 2025-09 (from id) mbzuai-nlp/SPECS/model/model_spec.py 24fc39254981d28c ran fingerprinted Apache-2.0 (permissive)
Optimal Classification under Performative Distribution Shift 4 Nov 2024 totilas/PerfOpti/learner.py dc356855afab271a unverified no licence file found · pointer only
Safety through feedback in Constrained RL 28 Jun 2024 shshnkreddy/RLSF/Sources/algo/prefim.py 59c2525415607d22 unverified no licence file found · pointer only
Fairness Without Harm: An Influence-Guided Active Sampling Approach 20 Feb 2024 ucsc-real/fairnesswithoutharm/src/metrics.py 89b278308e29baf3 unverified no licence file found · pointer only
Counterfactual Concept Bottleneck Models 2 Feb 2024 gabriele-dominici/counterfactual-cbm/ccbm/models.py 5ca94368a93ee4e7 ran fingerprinted no licence file found · pointer only
LibAUC: A Deep Learning Library for X-Risk Optimization 5 Jun 2023 Optimization-AI/LibAUC/libauc/losses/surrogate.py bce69fc779a88d80 unverified MIT (permissive)
Reliable Gradient-free and Likelihood-free Prompt Tuning 30 Apr 2023 maohaos2/SBI_LLM/utils.py 7bc8bc9cbcbec1d0 unverified MIT (permissive)
Learning Locally Editable Virtual Humans 28 Apr 2023 custom-humans/editable-humans/lib/models/losses.py 5fafd665133edec2 unverified MIT (permissive)
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts 6 Feb 2023 ars22/bitrate_dro/src/utils.py 05c3cdef091be334 unverified MIT (permissive)
Understanding Instance-Level Impact of Fairness Constraints 30 Jun 2022 ucsc-real/fairinfl/scores.py 5c68a51000a1bbee ran · violated contract fingerprinted MIT (permissive)
Rare Gems: Finding Lottery Tickets at Initialization 24 Feb 2022 ksreenivasan/pruning_is_enough/bad_global_minima_2d_brute_force.py 8e452c2493ffbb3e unverified MIT (permissive)
Black-Box Tuning for Language-Model-as-a-Service 10 Jan 2022 jubgjf/plmtuningcompetition/utils.py 7bc8bc9cbcbec1d0 unverified Apache-2.0 (permissive)
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash 12 Nov 2021 ml-research/Learning-to-Break-Deep-Perceptual-Hashing/losses/hinge_loss.py a4e251357a69a2a6 unverified MIT (permissive)
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images 30 Apr 2021 ptarling/DeepLearningFishCounting/lossfunctions_metrics.py 6400df5309b45c25 unverified MIT (permissive)
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News 7 Oct 2020 nguyenvo09/EMNLP2020/losses.py 6b674a4fc37ebdad unverified MIT (permissive)
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping 31 Dec 2019 taotaonice/FaceShifter/train_AEI.py 20857a6f247d89e9 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Learning Named Entity Tagger using Domain-Specific Dictionary 10 Sep 2018 shangjingbo1226/AutoNER/model_partial_ner/object.py a1ea6bd1afbd3741 unverified Apache-2.0 (permissive)
Hyperspherical Variational Auto-Encoders 3 Apr 2018 acr42/Neural-Variational-Knowledge-Graphs/vkge/training/losses.py 13d6783a3b02acab unverified MIT (permissive)
Exponential Machines 12 May 2016 Bihaqo/exp-machines/src/objectives/hinge.py a91b76d1bba22dd5 unverified MIT (permissive)
Session-based Recommendations with Recurrent Neural Networks 21 Nov 2015 maciejkula/spotlight/spotlight/losses.py de44a70b725c8af5 unverified MIT (permissive)
Rich feature hierarchies for accurate object detection and semantic segmentation 11 Nov 2013 zjZSTU/R-CNN/py/linear_svm.py 71a4ab2e9cafc6f4 unverified Apache-2.0 (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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