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fixed_padding

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

fixed_padding appears in the code Syntology harvested for 28 papers, as 19 distinct code bodies found in 31 places (a place is one code body under one paper). At least one of them ran in 9 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 fixed_padding 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 6 of the 19 distinct code bodies named fixed_padding; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
4ran · fixture could not drive it
0ran
13unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 31 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; 31 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; 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
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 dd6bf6a43c8bc322 ran · honoured contract fingerprinted MIT-0 (permissive)
On $f$-Divergence Principled Domain Adaptation: An Improved Framework 2 Feb 2024 thuml/CDAN/tensorflow/network.py 5756d6bfbcce2dfc ran · fixture could not drive it no licence file found · pointer only
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation 10 Oct 2023 zkzhang98/coinseg/network/backbone/mobilenetv2.py dd6bf6a43c8bc322 ran · honoured contract fingerprinted no licence file found · pointer only
Robust and Efficient Medical Imaging with Self-Supervision 19 May 2022 google-research/big_transfer/bit_jax/models.py d65ebdb640d62fc2 unverified Apache-2.0 (permissive)
Robust and Efficient Medical Imaging with Self-Supervision 19 May 2022 google-research/medical-ai-research-foundations/resnet.py b1b73febd494c9b7 unverified Apache-2.0 (permissive)
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation 4 Sep 2021 addisonwang2013/dtl/backbone/mobilenet.py b34c12741c44b60c unverified MIT (permissive)
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline 9 Jun 2021 princeton-vl/SimpleView/ScanObjectNN/SimpleView/multi_model.py ca82893aff5e0d2e ran · fixture could not drive it BSD-3-Clause (permissive)
MERLOT: Multimodal Neural Script Knowledge Models 4 Jun 2021 rowanz/merlot/utils/vision_transformer.py 4d045734e57cf54a unverified MIT (permissive)
All you need are a few pixels: semantic segmentation with PixelPick 13 Apr 2021 NoelShin/PixelPick/networks/mobilenet_v2.py b34c12741c44b60c unverified MIT (permissive)
Benchmarking Representation Learning for Natural World Image Collections 30 Mar 2021 visipedia/newt/benchmark/tf_resnet.py 43006b1579cc0b34 unverified MIT (permissive)
Self-supervised Learning from a Multi-view Perspective 10 Jun 2020 yaohungt/Demystifying_Self_Supervised_Learning/CIFAR10/resnet.py 3223825e26df85e7 unverified MIT (permissive)
LiDAR guided Small obstacle Segmentation 12 Mar 2020 Kzernobog/small_obstacle_discovery/modeling/backbone/mobilenet.py b34c12741c44b60c unverified MIT (permissive)
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network 17 Jan 2020 clovaai/assembled-cnn/nets/model_helper.py 5756d6bfbcce2dfc ran · fixture could not drive it Apache-2.0 (permissive)
Local Deep Implicit Functions for 3D Shape 12 Dec 2019 google/ldif/ldif/nets/resnet_unet.py c2b850137a837e22 unverified Apache-2.0 (permissive)
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning 24 Jul 2019 Emma926/paradnn/paradnn/resnet_model.py 8bf0e3d1986303a5 unverified Apache-2.0 (permissive)
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness 2 Jun 2019 haiphanNJIT/StoBatch/StoBatchTinyImageNet/resnet_utils.py 7fa95a4ad6afe798 unverified MIT (permissive)
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules 14 May 2019 arcelien/pba/pba/resnet.py c2b850137a837e22 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
S4L: Self-Supervised Semi-Supervised Learning 9 May 2019 google-research/s4l/models/resnet.py 479ef1c8e712d650 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Revisiting Self-Supervised Visual Representation Learning 25 Jan 2019 google/revisiting-self-supervised/models/resnet.py 650804f0bf60d727 unverified Apache-2.0 (permissive)
The Liver Tumor Segmentation Benchmark (LiTS) 13 Jan 2019 zz10001/LITS2017-main1/net/sepnet.py b34c12741c44b60c unverified Apache-2.0 (permissive)
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation 10 Jan 2019 Dawars/auto_deeplab-pytorch/layers.py 0cdd8e06cd2a8764 ran · our draft was wrong fingerprinted no licence file found · pointer only
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks 24 Dec 2018 ttbrunner/biased_boundary_attack_avc/models/resnet18_baseline/resnet_model.py 5756d6bfbcce2dfc ran · fixture could not drive it MIT (permissive)
Deep Cosine Metric Learning for Person Re-Identification 2 Dec 2018 ace19-dev/mvcnn-tf/nets/resnet_model.py 7fa95a4ad6afe798 unverified Apache-2.0 (permissive)
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping 16 Nov 2018 google-research/tensor2robot/layers/film_resnet_model.py 76cc1c44e6638e42 unverified Apache-2.0 (permissive)
Exascale Deep Learning for Climate Analytics 2018-10 (from id) azrael417/mlperf-deepcam/src/deepCam/architecture/deeplab_xception.py abced7209036f0c9 unverified MIT recorded; this copy not marked cleared · pointer only
Searching for Activation Functions 16 Oct 2017 Neoanarika/Searching-for-activation-functions/src/childnetwork.py 5756d6bfbcce2dfc ran · fixture could not drive it MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 aby2s/sharpmask/resnet_model.py 5756d6bfbcce2dfc ran · fixture could not drive it Apache-2.0 (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 MichaelWangfc/distributed-tensorflow-resnet/models/resnet_model_official.py 0706673a3a78b2af ran · fixture could not drive it no licence file found · pointer only
Deep Residual Learning for Image Recognition 10 Dec 2015 serre-lab/gala_tpu/resnet_model.py 8eb10ea765aa19a1 ran · fixture could not drive it no licence file found · pointer only
arXiv:aaai_16474 CQUlearningsystemgroup/BitwiseBottleneck/resnet_model.py 7fa95a4ad6afe798 unverified MIT (permissive)
arXiv:aaai_16243 Charleshhy/One-shot-Human-Parsing/networks/deeplab_xception_synBN.py abced7209036f0c9 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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