Home › Code › bce_loss

bce_loss

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

bce_loss appears in the code Syntology harvested for 22 papers, as 20 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 5 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 bce_loss 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 5 of the 20 distinct code bodies named bce_loss; 15 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
4ran
15unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 22 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

22 papers shown of 22, newest first; 22 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; 4 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
Towards Integrating Uncertainty for Domain-Agnostic Segmentation added by Syntology 2025-12 (from id) JesseBrouw/UncertSAM/src/loss_fns.py 0c02d14cce318411 unverified AGPL-3.0 (copyleft) · pointer only
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation 9 Feb 2025 yangzhifeio/MMGDreamer/model/losses.py 7b45bf6a75cf0869 unverified MIT (permissive)
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU 26 Aug 2024 zp1481616577/baselines_lsr-igru/18_THGNN/5_model_train_predict.py 33038d9824ba3d0b ran no licence file found · pointer only
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning 21 Jun 2024 seai-lab/torchspatial/main/losses.py ee66019898426cda ran fingerprinted MIT (permissive)
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning 7 May 2024 wmyw96/fair/app2_waterbird.py 9a7de74b80f4a1b3 ran fingerprinted no licence file found · pointer only
Learning to Plan for Language Modeling from Unlabeled Data 31 Mar 2024 natithan/learning-to-plan-for-language-modeling-from-unlabeled-data/models/muzero.py 36b9bffa303911ff ran no licence file found · pointer only
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation 11 Sep 2023 PJLab-ADG/3DTrans/pcdet/models/active_models/discriminator_from_bev.py 864d632af422d1f1 unverified Apache-2.0 (permissive)
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning 26 May 2023 iLampard/lamp/models/ebm_runner.py 51227b0b43c5ed30 unverified Apache-2.0 (permissive)
Differentially Private Adaptive Optimization with Delayed Preconditioners 1 Dec 2022 kenziyuliu/dp2/trainers/dp2_adagrad.py b3407cf1906789ea ran · honoured contract Apache-2.0 (permissive)
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions 25 Jul 2022 hamzakeurti/homomorphismvae/displacementae/networks/variational_utils.py 85534bf1994bca32 unverified Apache-2.0 (permissive)
MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image 6 Dec 2021 SeanChenxy/HandMesh/cmr/models/loss.py 0a345c9ad82f11fa unverified MIT (permissive)
Music Demixing Challenge 2021 31 Aug 2021 yoyololicon/music-demixing-challenge-ismir-2021-entry/loss.py e03122548785f5bf unverified MIT (permissive)
Learning Canonical Representations for Scene Graph to Image Generation 16 Dec 2019 roeiherz/CanonicalSg2Im/sg2im/losses.py ae92b5ed5c527664 unverified MIT (permissive)
Specifying Object Attributes and Relations in Interactive Scene Generation 11 Sep 2019 ashual/scene_generation/scene_generation/losses.py ae92b5ed5c527664 unverified Apache-2.0 (permissive)
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation 30 Nov 2018 thuml/Transfer-Learning-Library/tllib/alignment/advent.py 8141e2a33f8c62a2 unverified MIT (permissive)
Learning to Drive in a Day 1 Jul 2018 bitsauce/Carla-ppo/vae/models.py cc9ec10cd6121f37 unverified MIT (permissive)
Image Generation from Scene Graphs 4 Apr 2018 google/sg2im/sg2im/losses.py ae92b5ed5c527664 unverified Apache-2.0 (permissive)
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks 29 Mar 2018 agrimgupta92/sgan/sgan/losses.py e953c2a70a67444a unverified MIT (permissive)
arXiv:ijcai2024_0712 nyh-a/CoSTC/model/loss.py 6c8a6bf0fb162eaf unverified MIT (permissive)
arXiv:aaai_26259 stxupengyu/LSFA/model.py 66e75a83fa94c133 unverified MIT (permissive)
arXiv:aaai_25883 alcorreia/cm-tpm/utils/losses.py c6697e5f11c2ed4b unverified MIT (permissive)
arXiv:2023.emnlp-main.979 cyclexu/TacoPrompt/TacoPrompt/model/loss.py ffbcba4ac32237bf 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".

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