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FeatureExtractor

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

FeatureExtractor appears in the code Syntology harvested for 24 papers, as 29 distinct code bodies found in 29 places (a place is one code body under one paper). At least one of them ran in 14 of the papers; 8 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 FeatureExtractor 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 17 of the 29 distinct code bodies named FeatureExtractor; 12 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
17ran
12unverified
8fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 29 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

24 papers shown of 24, newest first; 29 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 5 papers added by Syntology; 1 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
Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and Optimization for Personalized Packing Checklist Generation added by Syntology 2026-07 (from id) Official529Tech/rlo-checklist/src/combined_model.py 88dc25006bec966c unverified MIT (permissive)
Reference-Based Face Super-Resolution Using the Spatial Transformer added by Syntology 2026-07 (from id) varun-jois/FSRST/models/FSRST.py 8d56d731df1c217a ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Free Lunch for Pass@k? Low Cost Diverse Sampling for Diffusion Language Models added by Syntology 2026-03 (from id) sean-lamont/odd/strategies.py d1fbab22b1249fc1 unverified MIT (permissive)
SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling added by Syntology 2026-02 (from id) CLendering/SubspaceAD/src/subspacead/core/patching.py 640289a44a7ef6de unverified Apache-2.0 (permissive)
GMM-COMET: Continual Source-Free Universal Domain Adaptation via a Mean Teacher and Gaussian Mixture Model-Based Pseudo-Labeling added by Syntology 2026-01 (from id) pascalschlachter/GMM-COMET/adaptation.py 9e7bad2ff9264a11 ran · metamorphic tier: deterministic no licence file found · pointer only
arXiv:2507.03285 2025-07 (from id) facebookresearch/MemoryMosaics/Library/memory_mosaics/models/memory_mosaics.py 9f9ffafdaa489a78 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning 10 Jun 2025 SMSD75/MoSiC/experiments/exp_mosic.py 4200c34fe255995e ran licence not identified · pointer only
Towards Practical Real-Time Neural Video Compression 28 Feb 2025 microsoft/DCVC/DCVC-family/DCVC-RT/src/models/video_model.py 8d71934d46c53dd9 unverified MIT (permissive)
Neural Video Compression with Feature Modulation 27 Feb 2024 microsoft/dcvc/DCVC-family/DCVC-FM/src/models/video_model.py 4d085f78c5a59bdc ran MIT (permissive)
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion 30 Oct 2023 graph-and-geometric-learning/d4explainer/explainers/diff_explainer.py 876af85f8e3ffb2b ran · metamorphic tier: deterministic MIT (permissive)
Learning to Identify Critical States for Reinforcement Learning from Videos 15 Aug 2023 AI-Initiative-KAUST/VideoRLCS/Models/model.py a8ec9e9bd6753968 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning 23 Oct 2022 thudzj/ella/laplace/lllaplace.py fa3060dd8c01cfd0 ran fingerprinted no licence file found · pointer only
Unpaired Image Translation via Vector Symbolic Architectures 6 Sep 2022 facebookresearch/vsait/models/iit.py 266ec13d80f74daf ran fingerprinted licence not identified · pointer only
SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer 21 Jul 2022 hrzhou2/seedformer/codes/model.py 968d848adc67b0ec unverified licence not identified · pointer only
Hierarchical Text-Conditional Image Generation with CLIP Latents 13 Apr 2022 harvard-visionlab/lrm-steering/lrm_models/lrmnet.py a7f6adc337b5c0ac ran fingerprinted MIT (permissive)
Supervising the Multi-Fidelity Race of Hyperparameter Configurations 20 Feb 2022 releaunifreiburg/dyhpo/surrogate_models/dyhpo.py 3a5c40444501a9e4 unverified Apache-2.0 (permissive)
FILM: Frame Interpolation for Large Motion 10 Feb 2022 dajes/frame-interpolation-pytorch/interpolator.py 9ef67e49992f642f ran · metamorphic tier: deterministic Apache-2.0 (permissive)
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer 10 Aug 2021 allenxiangx/snowflakenet/models/model_completion.py 82dceaabbaab2c0a unverified MIT (permissive)
Point Cloud Upsampling via Disentangled Refinement 9 Jun 2021 ryanphilly/DIS-PU-pytorch/dispu/generator.py f7a9740ea0fe2231 unverified no licence file found · pointer only
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling 26 May 2021 matthias-k/DeepGaze/deepgaze_pytorch/deepgaze2e.py 05a7be491393286d ran fingerprinted no licence file found · pointer only
Unsupervised Cross-lingual Representation Learning at Scale 5 Nov 2019 ilhamfp/indonesian-text-classification-multilingual/src/extract-feature.py d30d1ecf1454760e unverified no licence file found · pointer only
FiLM: Visual Reasoning with a General Conditioning Layer 22 Sep 2017 caffeinism/film-pytorch/networks.py edbfcccbabd461c6 ran fingerprinted no licence file found · pointer only
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization 7 Oct 2016 bill86416/trojan_attack/gradcam.py 10d20b57109d9ae7 ran fingerprinted no licence file found · pointer only
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization 7 Oct 2016 hs2k/pytorch-smoothgrad/lib/gradients.py 89dd77c495cb7992 ran MIT (permissive)
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization 7 Oct 2016 Jmak12/Iris1/visualize.py 07c7c47cddac61e9 ran no licence file found · pointer only
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization 7 Oct 2016 xn1997/pytorch-grad-cam/gradcam.py c1454f1aedec4ea7 ran MIT (permissive)
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization 7 Oct 2016 kalelpark/Mixture-of-Granularity-Specific-Experts-for-Fine-Grained-Categorization/models/grad_cam.py 24a31f835a319481 unverified Apache-2.0 (permissive)
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization 7 Oct 2016 yaleCat/Grad-CAM-pytorch/grad_cam.py 9300fa71da6a03fa unverified no licence file found · pointer only
Domain-Adversarial Training of Neural Networks 28 May 2015 vcoyette/DANN/models/mnist.py 3d0632c955417561 unverified 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