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InvertedResidual

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

InvertedResidual appears in the code Syntology harvested for 9 papers, as 21 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 8 of the papers; 12 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 InvertedResidual 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 19 of the 21 distinct code bodies named InvertedResidual; 2 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
19ran
2unverified
12fingerprinted

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

9 papers shown of 9, 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
Domain-Specialized Object Detection via Model-Level Mixtures of Experts added by Syntology 2026-04 (from id) KASTEL-MobilityLab/mixtures-of-experts/models/deeplab_moe.py bc58b67edb3fdec6 ran · metamorphic tier: invariant fingerprinted MIT-0 (permissive)
Adaptive Frequency Filters As Efficient Global Token Mixers 26 Jul 2023 NWPU-Li/AFFNet/aff_block_LL.py 6a8332def917d701 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization 20 Jul 2023 lilujunai/emq-series/emq/predictor/pruners/measures/qe_score.py 491ef5b3386ab4b7 ran fingerprinted Apache-2.0 (permissive)
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer 5 Oct 2021 jaiwei98/mobile-vit-pytorch/mobile_vit/mobilevit.py c56c074407924b8b ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer 5 Oct 2021 wilile26811249/MobileViT/models/model.py cc6fad7bef0b8c04 ran fingerprinted MIT (permissive)
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer 5 Oct 2021 godhj93/MobileViT/utils/nets/MobileViT.py 6e05718496381a26 unverified no licence file found · pointer only
Adaptive Focus for Efficient Video Recognition 7 May 2021 blackfeather-wang/AdaFocus/Experiments on ActivityNet, FCVID and Mini-Kinetics/models/gfv_net.py b0b0395a2d15fd11 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 Jintao-Huang/EfficientNet_PyTorch/models/efficientnet.py e5992e8fc871080e unverified Apache-2.0 (permissive)
Searching for MobileNetV3 6 May 2019 wang-zidu/3ddfa-v3/model/mb_v3_networks.py 708f8102eea91f9e ran · metamorphic tier: deterministic MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 yakhyo/gaze-estimation/models/mobilenet.py d31047e543134708 ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 deep-learning-algorithm/LightWeightCNN/py/lib/models/mobilenet_v2/mobilenet_v2.py f83fdb7a7809c0a5 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 d-li14/mobilenetv2.pytorch/models/imagenet/mobilenetv2.py 7c0486e261e94df5 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 xxradon/IGCV3-pytorch/MobileNetV2.py b2f8c6e9ac014cbf ran fingerprinted no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 yakhyo/head-pose-estimation/models/mobilenetv2.py 5a66446bb107c9f0 ran fingerprinted MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 duan-song/SATNet/models/MobileNetV2.py 9d6ee08207532162 ran fingerprinted no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 yakhyo/retinaface-pytorch/models/backbones/mobilenetv2.py 737503d3b1394539 ran fingerprinted MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 XavierCHEN34/ClickSEG/isegm/model/modeling/mobilenet/mobilenetv2_backbone.py e340453d472d8572 ran fingerprinted Apache-2.0 (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 canturan10/satellighte/satellighte/archs/mobilenetv2/module.py a0826c5a6426674e ran MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 tonylins/pytorch-mobilenet-v2/MobileNetV2.py c274b979ea14e492 ran · metamorphic tier: invariant Apache-2.0 (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 Mayurji/Image-Classification-PyTorch/MobileNetV2.py 702a817f5219eb77 ran · metamorphic tier: invariant GPL-3.0 (copyleft) · pointer only
Feature Pyramid Networks for Object Detection 9 Dec 2016 libiseller/MobileNetV2-dynamicFPN/MobileNetV2_dynamicFPN.py 3bbf9937427a6a38 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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