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loss_dcgan_gen

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

loss_dcgan_gen appears in the code Syntology harvested for 13 papers, as 4 distinct code bodies found in 13 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 loss_dcgan_gen 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 4 distinct code bodies named loss_dcgan_gen; 4 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
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 0 of the 13 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

13 papers shown of 13, newest first; 13 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; 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
Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment 9 Dec 2024 postech-ami/Sound2Scene/BigGAN_PyTorch/losses.py 6c34831223553b6f unverified MIT (permissive)
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation 26 Apr 2023 gnobitab/FuseDream/BigGAN_utils/losses.py 6c34831223553b6f unverified MIT (permissive)
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training 31 May 2022 liang-hou/augself-gan/augself-biggan/losses.py 6c34831223553b6f unverified MIT (permissive)
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks 28 Jan 2022 ajbrock/BigGAN-PyTorch/losses.py 6c34831223553b6f unverified MIT (permissive)
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation 17 Aug 2021 csyxwei/orojar/biggan_discovery/losses.py 6c34831223553b6f unverified BSD-2-Clause (permissive)
Regularizing Generative Adversarial Networks under Limited Data 7 Apr 2021 google/lecam-gan/biggan_cifar/losses.py 9e775a46ccc9ac84 unverified Apache-2.0 (permissive)
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement 24 Aug 2020 wpeebles/hessian_penalty/biggan_discovery/losses.py 6c34831223553b6f unverified BSD-2-Clause (permissive)
Triple Generative Adversarial Networks 20 Dec 2019 taufikxu/Triple-GAN/library/loss_gan.py 98b3c5751e09b90b unverified MIT (permissive)
MineGAN: effective knowledge transfer from GANs to target domains with few images 11 Dec 2019 yaxingwang/MineGAN/losses.py c64be9107f781e89 unverified MIT (permissive)
Large Scale GAN Training for High Fidelity Natural Image Synthesis 28 Sep 2018 kidist-amde/biggan-pytorch/losses.py 6c34831223553b6f unverified MIT (permissive)
arXiv:aaai_32174 VectorInstitute/GenerativeSSL/data_generation/icgan/BigGAN_PyTorch/losses.py 6c34831223553b6f unverified MIT (permissive)
arXiv:aaai_20902 bxz9200/CLPA/losses.py 6c34831223553b6f unverified MIT (permissive)
arXiv:aaai_20247 csmiler/ProbeGAN/losses.py 6c34831223553b6f 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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