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fpr_and_fdr_at_recall

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

fpr_and_fdr_at_recall appears in the code Syntology harvested for 28 papers, as 8 distinct code bodies found in 28 places (a place is one code body under one paper). At least one of them ran in 27 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 fpr_and_fdr_at_recall 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 7 of the 8 distinct code bodies named fpr_and_fdr_at_recall; 1 is 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
5ran · fixture could not drive it
2ran
1unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 28 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

28 papers shown of 28, newest first; 28 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
Detecting Generated Images by Fitting Natural Image Distributions added by Syntology 2025-11 (from id) tmlr-group/ConV/srcs/ConV.py 7007a88885032a37 ran · fixture could not drive it MIT (permissive)
arXiv:2507.09795 2025-07 (from id) ah-ansari/NegRefine/src/ood_evaluate.py e1dfe697d81dc165 ran · fixture could not drive it fingerprinted MIT (permissive)
Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations 21 May 2025 fanghenshaometeor/ood-kernel-pca-ext/utils_ood.py e1dfe697d81dc165 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Detecting Discrepancies Between AI-Generated and Natural Images Using Uncertainty 8 Dec 2024 tmlr-group/WePe/wepe.py c187a548ac1863b2 ran · fixture could not drive it MIT (permissive)
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection 5 Nov 2024 tmlr-group/SCT/utils/detection_util.py 3853ecdb6fc74451 ran · fixture could not drive it fingerprinted no licence file found · pointer only
AHA: Human-Assisted Out-of-Distribution Generalization and Detection 10 Oct 2024 HaoyueBaiZJU/aha/utils/metric_utils.py 1134ab62338793e2 ran no licence file found · pointer only
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection 26 Sep 2024 deeplearning-wisc/haloscope/metric_utils.py 1134ab62338793e2 ran no licence file found · pointer only
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension 23 Sep 2024 liujunzhuo/FineCops-Ref/evaluation/eval_metric.py 3853ecdb6fc74451 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts 7 Sep 2024 AuroraZengfh/Local-Prompt/utils/detection_util.py 3853ecdb6fc74451 ran · fixture could not drive it fingerprinted no licence file found · pointer only
When and How Does In-Distribution Label Help Out-of-Distribution Detection? 28 May 2024 deeplearning-wisc/id_label/metric_utils.py 1134ab62338793e2 ran no licence file found · pointer only
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection 28 May 2024 Wuyingwen/Pursuing-Feature-Separation-for-OOD-Detection/imagenet/utils/display_results.py 7242da839b9822be ran no licence file found · pointer only
Kernel PCA for Out-of-Distribution Detection 5 Feb 2024 identical code first harvested elsewhere e1dfe697d81dc165 ran · fixture could not drive it fingerprinted licence of this copy not recorded
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources 6 Nov 2023 tmlr-group/ATOL/utils/display_results.py 7242da839b9822be ran no licence file found · pointer only
Learning to Augment Distributions for Out-of-Distribution Detection 3 Nov 2023 tmlr-group/dal/utils/display_results.py 7242da839b9822be ran no licence file found · pointer only
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective 22 Oct 2023 fanghenshaometeor/ood-mode-ensemble/utils_ood.py e1dfe697d81dc165 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability 6 Jun 2023 tmlr-group/unleashing-mask/utils/get_scores.py 3853ecdb6fc74451 ran · fixture could not drive it fingerprinted MIT (permissive)
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning 2 Jun 2023 AtsuMiyai/LoCoOp/utils/detection_util.py 3853ecdb6fc74451 ran · fixture could not drive it fingerprinted MIT (permissive)
GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection 10 Apr 2023 atsumiyai/gl-mcm/utils/detection_util.py 3853ecdb6fc74451 ran · fixture could not drive it fingerprinted MIT (permissive)
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection 1 Feb 2023 nish03/ffs/Flow-Feature-Synthesis/detection/metric_utils.py 1e4534a223543409 unverified MIT (permissive)
PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning 5 Dec 2022 shiqiu0419/pointcam/Point-Transformer-pointcam-online/util/anom_utils.py 7242da839b9822be ran MIT (permissive)
Training OOD Detectors in their Natural Habitats 7 Feb 2022 jkatzsam/woods_ood/utils/display_results.py 7242da839b9822be ran Apache-2.0 (permissive)
VOS: Learning What You Don't Know by Virtual Outlier Synthesis 2 Feb 2022 deeplearning-wisc/vos/metric_utils.py 1134ab62338793e2 ran Apache-2.0 (permissive)
Deep Metric Learning for Open World Semantic Segmentation 10 Aug 2021 Jun-CEN/Open-World-Semantic-Segmentation/anomaly/anom_utils.py 7242da839b9822be ran MIT (permissive)
Contrastive Out-of-Distribution Detection for Pretrained Transformers 18 Apr 2021 wzhouad/Contra-OOD/evaluation.py 541b471fca0ca15a ran · fixture could not drive it fingerprinted MIT (permissive)
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation 18 Mar 2020 YingdaXia/SynthCP/anomaly/anom_utils.py 7242da839b9822be ran MIT (permissive)
Scaling Out-of-Distribution Detection for Real-World Settings 25 Nov 2019 hendrycks/anomaly-seg/anom_utils.py 7242da839b9822be ran MIT (permissive)
arXiv:aaai_20752 PeymanMorteza/GEM/utils/display_results.py 7242da839b9822be ran Apache-2.0 (permissive)
arXiv:Wilson_SAFE_Sensitivity-Aware_Features_for_Out-of-Distribution_Object_Detection_ICCV_2023_paper SamWilso/SAFE_Official/SAFE/shared/metric_utils.py 1134ab62338793e2 ran 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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