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conv2d_fixed_padding

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

conv2d_fixed_padding appears in the code Syntology harvested for 12 papers, as 8 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 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 conv2d_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 0 of the 8 distinct code bodies named conv2d_fixed_padding; 8 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
0ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 14 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

12 papers shown of 12, newest first; 14 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; 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
On $f$-Divergence Principled Domain Adaptation: An Improved Framework 2 Feb 2024 thuml/CDAN/tensorflow/network.py c756a6986ed2d1b8 unverified no licence file found · pointer only
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline 9 Jun 2021 princeton-vl/SimpleView/ScanObjectNN/SimpleView/multi_model.py a5cb548e4b581359 unverified BSD-3-Clause (permissive)
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network 17 Jan 2020 clovaai/assembled-cnn/nets/model_helper.py c756a6986ed2d1b8 unverified Apache-2.0 (permissive)
Local Deep Implicit Functions for 3D Shape 12 Dec 2019 google/ldif/ldif/nets/resnet_unet.py 09f6f950522b2929 unverified Apache-2.0 (permissive)
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning 24 Jul 2019 Emma926/paradnn/paradnn/resnet_model.py 543e9e36a2b9d04a 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 60ed1730c5f4efa0 unverified MIT (permissive)
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules 14 May 2019 arcelien/pba/pba/resnet.py 09f6f950522b2929 unverified Apache-2.0 recorded; this copy not marked cleared · 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 c756a6986ed2d1b8 unverified MIT (permissive)
Deep Cosine Metric Learning for Person Re-Identification 2 Dec 2018 ace19-dev/mvcnn-tf/nets/resnet_model.py 00d606fe5c48bd93 unverified Apache-2.0 (permissive)
Searching for Activation Functions 16 Oct 2017 Neoanarika/Searching-for-activation-functions/src/childnetwork.py c756a6986ed2d1b8 unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 aby2s/sharpmask/resnet_model.py c756a6986ed2d1b8 unverified Apache-2.0 (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 MichaelWangfc/distributed-tensorflow-resnet/models/resnet_model_official.py e81b36632b5e5b93 unverified no licence file found · pointer only
Deep Residual Learning for Image Recognition 10 Dec 2015 serre-lab/gala_tpu/resnet_model.py 84915b6aa29ee231 unverified no licence file found · pointer only
arXiv:aaai_16474 CQUlearningsystemgroup/BitwiseBottleneck/resnet_model.py 00d606fe5c48bd93 unverified 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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