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mixup

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

mixup appears in the code Syntology harvested for 28 papers, as 36 distinct code bodies found in 36 places (a place is one code body under one paper). At least one of them ran in 14 of the papers; 9 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 mixup 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 21 of the 36 distinct code bodies named mixup; 15 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
10ran · fixture could not drive it
7ran
15unverified
9fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 36 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; 36 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
Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures added by Syntology 2026-05 (from id) danishmemon847/AOC-IDS-Pipeline/unsw_improvement_2.py def03ea0d28344c6 ran · fixture could not drive it no licence file found · pointer only
A novel Fourier Adjacency Transformer for advanced EEG emotion recognition 28 Feb 2025 YanhaoHuang23/FAT/Augmentation.py 2b63168cfbfdc309 unverified MIT (permissive)
Sample Selection via Contrastive Fragmentation for Noisy Label Regression 25 Feb 2025 cdjkim/ConFrag/utils/utils.py e30ed44681bb9d73 unverified MIT (permissive)
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction 8 Aug 2024 sprinter1999/fedelc/fl_models/update.py 4cdd625c4b850e8c ran fingerprinted MIT (permissive)
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective 27 May 2024 tom4649/lp-ft_ntk/tasks/ood/OOD_NLP/src/evaluations/methods.py d73af4120f00ebca ran · fixture could not drive it MIT (permissive)
The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data 17 Apr 2024 zixuan-zhu/vab/attention_mix_ImageNet.py d78c36330e8e8cc4 ran fingerprinted no licence file found · pointer only
Policy Learning for Off-Dynamics RL with Deficient Support 16 Feb 2024 linhlpv/DADS/dads.py 6d750505759495e9 ran · our draft was wrong no licence file found · pointer only
DNABERT-S: Pioneering Species Differentiation with Species-Aware DNA Embeddings 13 Feb 2024 magics-lab/dnabert_s/train/pretrain/DNABERT2_MIX/bert_layers.py 5f366b4c543ed2a8 ran fingerprinted no licence file found · pointer only
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels 11 Dec 2023 lijichang/LNL-NCE/cifar/utils.py e612a78761dac3a7 ran · fixture could not drive it fingerprinted no licence file found · pointer only
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank 23 Oct 2023 HenryPengZou/DeCrisisMB/models/Bert4Mixup.py cb1191188f23b931 ran no licence file found · pointer only
Fine-tune the pretrained ATST model for sound event detection 15 Sep 2023 Audio-WestlakeU/ATST-SED/desed_task/data_augm.py 4450267615e72051 ran MIT (permissive)
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery 31 Aug 2023 YuyanZhou1/Improving-Lens-Flare-Removal/synthesis.py 6cc61f5df7939b4b unverified no licence file found · pointer only
General Purpose Audio Effect Removal 2023-08 (from id) mhrice/RemFx/remfx/models.py f352f799936f724d ran Apache-2.0 (permissive)
CED: Consistent ensemble distillation for audio tagging 2023-08 (from id) richermans/ced/utils.py 7c8fe0a2f7369b07 ran fingerprinted GPL-3.0 (copyleft) · pointer only
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers 2 Jul 2023 chernyn/admeta-optimizer/admeta-code/admeta-cifar/pytorch_image_classification/collators/mixup.py 5617086f7f208033 unverified BSD-2-Clause (permissive)
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration 20 Jun 2023 sunnysiqi/lnl_k/cell_data/simple_multi_main.py d442db44b321d2b1 unverified MIT (permissive)
Traversing Between Modes in Function Space for Fast Ensembling 20 Jun 2023 yuneg11/bridge-network/scripts/train_bridge.py 3675937634c65e14 ran · our draft was wrong MIT (permissive)
Confidence Score for Source-Free Unsupervised Domain Adaptation 14 Jun 2022 jhyun17/cowa-jmds/image_target_CoWA.py 522bdfe53eadb6fe unverified MIT (permissive)
Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection 29 Mar 2022 frednam93/FDY-SED/utils/data_aug.py fcf7e299ada9da07 unverified MIT (permissive)
Improving Fractal Pre-training 6 Oct 2021 catalys1/fractal-pretraining/fractal_learning/training/model/glas.py a9b449b9f5ea02ea unverified MIT (permissive)
Convolutional Neural Networks with Gated Recurrent Connections 5 Jun 2021 Jianf-Wang/GRCNN/imagenet_train.py 775068f2f6a6a019 unverified MIT (permissive)
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training 2 Jun 2021 Actis92/lit-saint/src/lit_saint/augmentations.py 1d107db8a201c1e5 unverified MIT (permissive)
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy 1 Apr 2020 sanglee325/cutblur/augments.py dabc44d88ae91f5c unverified MIT (permissive)
MixMatch: A Holistic Approach to Semi-Supervised Learning 6 May 2019 smkim7-kr/albu-MixMatch-pytorch/src/utils.py a083b3ef65c4a3c1 ran · our draft was wrong MIT (permissive)
MixMatch: A Holistic Approach to Semi-Supervised Learning 6 May 2019 ntozer/mixmatch-tensorflow2.0/mixmatch.py de552909167b4340 ran · honoured contract fingerprinted MIT (permissive)
MixMatch: A Holistic Approach to Semi-Supervised Learning 6 May 2019 dhx000/DGM_project/mixmatch/cycle_mixmatch.py 65eae886ef202b56 ran · fixture could not drive it no licence file found · pointer only
Fast AutoAugment 1 May 2019 kakaobrain/fast-autoaugment/FastAutoAugment/aug_mixup.py 8b2b8ba48892e73e unverified MIT (permissive)
mixup: Beyond Empirical Risk Minimization 25 Oct 2017 Westlake-AI/openmixup/openmixup/models/augments/mixup.py 656d88b7d9a9e392 ran · fixture could not drive it Apache-2.0 (permissive)
mixup: Beyond Empirical Risk Minimization 25 Oct 2017 Yangget/Mixup_All-use/Mixup.py bc9feed0a6523697 ran · fixture could not drive it fingerprinted MIT (permissive)
mixup: Beyond Empirical Risk Minimization 25 Oct 2017 tugstugi/pytorch-speech-commands/mixup.py e85b9399854d6440 ran · fixture could not drive it no licence file found · pointer only
mixup: Beyond Empirical Risk Minimization 25 Oct 2017 PsorTheDoctor/microarray-data/utils/augmentation.py 835392836f697b21 ran · fixture could not drive it fingerprinted no licence file found · pointer only
mixup: Beyond Empirical Risk Minimization 25 Oct 2017 mingsun-tse/good-da-in-kd/helper/loops.py f0f17df9d7c15828 ran · fixture could not drive it no licence file found · pointer only
mixup: Beyond Empirical Risk Minimization 25 Oct 2017 tusharip/augmentations/codes/vision.py 933e954914270161 ran · fixture could not drive it fingerprinted MIT (permissive)
mixup: Beyond Empirical Risk Minimization 25 Oct 2017 Shubhammawa/MixMatch-Semi-Supervised-Learning/MixMatch_utils/MixMatch_utils.py 9632c4d4a17cb9c6 unverified MIT (permissive)
arXiv:aaai_25284 wjun0830/MOVE/Imbalanced-MiniKinetics200/ops/Augment.py f9421c803e515bba unverified MIT (permissive)
arXiv:aaai_21180 yuanmu97/MLink/mlink/data_augmentation.py bac2402dbb3fe43e 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