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mixup_data

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

mixup_data appears in the code Syntology harvested for 51 papers, as 35 distinct code bodies found in 59 places (a place is one code body under one paper). At least one of them ran in 40 of the papers; 5 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_data 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 22 of the 35 distinct code bodies named mixup_data; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract

0ran · violated contract

3ran · our draft was wrong

17ran · fixture could not drive it

2ran

13unverified

5fingerprinted

Licence is a property of each copy, so it is counted per place: 29 of the 59 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

51 papers shown of 51, newest first; 59 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 3 papers added by Syntology; 5 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.

Paper	Date	File	Status Syntology	Licence
Be Fair! Can Machine Learning Engineering Agents Adhere to Fairness Constraints? added by Syntology	2026-06 (from id)	anna-richter/be-fair/aide/logs/17-addition_2/best_solution.py `fc5b29d5049847a0`	ran	Apache-2.0 (permissive)
Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation added by Syntology	2025-11 (from id)	j-cyoung/ADSA_DD/SRe2L/cifar10/relabel_cifar_adsa.py `5d6df350b6eefccd`	ran · fixture could not drive it	no licence file found · pointer only
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging added by Syntology	2025-09 (from id)	zxcvfd13502/TEA/methods/mixup.py `e21ef67063f634df`	unverified	no licence file found · pointer only
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment	26 Sep 2024	angusdujw/diversity-driven-synthesis/validation/validation_cifar.py `5d6df350b6eefccd`	ran · fixture could not drive it	no licence file found · pointer only
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector	27 Jul 2024	zood123/comet/train_module.py `8897714b1e9b6396`	ran · fixture could not drive it	no licence file found · pointer only
Uniformly Stable Algorithms for Adversarial Training and Beyond	3 May 2024	jiancongxiao/moreau-envelope-sgd/adversarial_robustness_overfitting/mea_train_cifar.py `b20f1357b1d8dbf8`	ran · fixture could not drive it	no licence file found · pointer only
Distribution-Aware Data Expansion with Diffusion Models	11 Mar 2024	haoweiz23/distdiff/augmentations/mixup.py `345e624f9cc2e32a`	ran · fixture could not drive it	no licence file found · pointer only
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition	5 Dec 2023	IBM/multiple-input-multiple-output-nets/MIMOConv/src/mixup.py `112a7683003fa463`	ran	Apache-2.0 (permissive)
Label-Only Model Inversion Attacks via Knowledge Transfer	30 Oct 2023	val-iisc/hard-label-model-stealing/code/train_student/train_student.py `9917ee672087e236`	ran · fixture could not drive it	no licence file found · pointer only
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition	12 Jun 2023	keke921/h2t/methods.py `345e624f9cc2e32a`	ran · fixture could not drive it	MIT (permissive)
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning	16 Mar 2023	lzvv123456/contrastive-prototypical-prompt/utils.py `345e624f9cc2e32a`	ran · fixture could not drive it	Apache-2.0 (permissive)
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization	9 Mar 2023	alanjeffares/tangos/src/regularizers.py `f8d74fe1d88a952d`	ran · fixture could not drive it fingerprinted	BSD-3-Clause (permissive)
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization	9 Mar 2023	vanderschaarlab/tangos/src/tangos/regularizers.py `04a79674a945ae82`	unverified	BSD-3-Clause (permissive)
Certified Robust Neural Networks: Generalization and Corruption Resistance	3 Mar 2023	ryanlucas3/hr_neural_networks/HR_Neural_Networks/Paper_experiments/Section_6.2/Rice_HR/Rice_HR.py `8d1360df29c61c25`	unverified	MIT (permissive)
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis	2 Jan 2023	RL4M/PCRLv2/train_2d.py `27b5c00cc9d84e47`	unverified	MIT (permissive)
A2: Efficient Automated Attacker for Boosting Adversarial Training	7 Oct 2022	alipay/A2-efficient-automated-attacker-for-boosting-adversarial-training/train_cifar10.py `b20f1357b1d8dbf8`	ran · fixture could not drive it	Apache-2.0 (permissive)
Long-Tailed Class Incremental Learning	1 Oct 2022	xialeiliu/Long-Tailed-CIL/src/approach/LAS_utils.py `345e624f9cc2e32a`	ran · fixture could not drive it	MIT (permissive)
SparCL: Sparse Continual Learning on the Edge	20 Sep 2022	identical code first harvested elsewhere `bd19a75b8bed0114`	ran · fixture could not drive it	licence of this copy not recorded
Identifying Hard Noise in Long-Tailed Sample Distribution	27 Jul 2022	yxymessi/H2E-Framework/eccv_github/noise_longtail/code/utils.py `fd81207449c239dd`	ran · fixture could not drive it	MIT (permissive)
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks	24 May 2022	cychomatica/one-pixel-shotcut/augmentation/Mixup.py `8897714b1e9b6396`	ran · fixture could not drive it	Apache-2.0 (permissive)
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology	11 Apr 2022	hhi-aml/histobenchmark/code/main_patho_lightning.py `c0a4cf940a467481`	ran · fixture could not drive it fingerprinted	no licence file found · pointer only
FedCorr: Multi-Stage Federated Learning for Label Noise Correction	10 Apr 2022	identical code first harvested elsewhere `8897714b1e9b6396`	ran · fixture could not drive it	licence of this copy not recorded
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach	5 Feb 2022	horsepurve/deepvoro/wrn_mixup_model.py `b53e6443d8a7fbf3`	unverified	MIT (permissive)
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge	26 Oct 2021	boone891214/MEST/main_sparse_train.py `bd19a75b8bed0114`	ran · fixture could not drive it	no licence file found · pointer only
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?	1 Jul 2021	boone891214/sanity-check-LTH/cifar/main_prune_train.py `fd81207449c239dd`	ran · fixture could not drive it	no licence file found · pointer only
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training	2 Jun 2021	somepago/saint/augmentations.py `3f8482bac2c6b9db`	unverified	Apache-2.0 recorded; this copy not marked cleared · pointer only
Improving Calibration for Long-Tailed Recognition	1 Apr 2021	Jia-Research-Lab/MiSLAS/methods.py `345e624f9cc2e32a`	ran · fixture could not drive it	MIT (permissive)
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures	26 Feb 2021	identical code first harvested elsewhere `345e624f9cc2e32a`	ran · fixture could not drive it	licence of this copy not recorded
Low Curvature Activations Reduce Overfitting in Adversarial Training	15 Feb 2021	identical code first harvested elsewhere `b20f1357b1d8dbf8`	ran · fixture could not drive it	licence of this copy not recorded
ResLT: Residual Learning for Long-tailed Recognition	26 Jan 2021	jiequancui/ResLT/CIFAR/cifarTrain_reslt_cifar10.py `760098c40816bbe8`	ran · fixture could not drive it	MIT (permissive)
Free Lunch for Few-shot Learning: Distribution Calibration	16 Jan 2021	sabagh1994/code_dcf/wrn_model.py `56ca7839c3f149ad`	ran · our draft was wrong fingerprinted	no licence file found · pointer only
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning	17 Oct 2020	PaulAlbert31/iMix/utils.py `d289cf4cd8e95ada`	unverified	no licence file found · pointer only
Data Augmentation for Meta-Learning	14 Oct 2020	renkunni/metaaug/train_aug.py `ce1ad25b0d64fdd7`	ran · our draft was wrong	MIT (permissive)
Data Augmentation for Meta-Learning	14 Oct 2020	RenkunNi/MetaAug/models/R2D2_embedding_mixup.py `fcec7c373958ae2d`	unverified	MIT (permissive)
High-Capacity Expert Binary Networks	7 Oct 2020	1adrianb/expert-binary-networks/utils/mixup.py `aafeecd1181e3b50`	unverified	MIT (permissive)
Bag of Tricks for Adversarial Training	1 Oct 2020	identical code first harvested elsewhere `b20f1357b1d8dbf8`	ran · fixture could not drive it	licence of this copy not recorded
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations	15 Jul 2020	funnyzhou/C2L_MICCAI2020/train_C2L_res18.py `572eb5c34ec5ef0c`	ran · fixture could not drive it	MIT (permissive)
Adversarial Weight Perturbation Helps Robust Generalization	13 Apr 2020	csdongxian/AWP/AT_AWP/train_cifar10.py `b20f1357b1d8dbf8`	ran · fixture could not drive it	MIT (permissive)
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks	3 Mar 2020	locuslab/robust_overfitting/train_cifar.py `b20f1357b1d8dbf8`	ran · fixture could not drive it	no licence file found · pointer only
Overfitting in adversarially robust deep learning	26 Feb 2020	identical code first harvested elsewhere `b20f1357b1d8dbf8`	ran · fixture could not drive it	licence of this copy not recorded
Class-Imbalanced Semi-Supervised Learning	17 Feb 2020	MinsungHyun/Class-Imbalanced-Semi-Supervised-Learning/CISSL_cls/lib/utils.py `b062bea460457feb`	ran · fixture could not drive it	MIT (permissive)
Gated Convolutional Networks with Hybrid Connectivity for Image Classification	26 Aug 2019	winycg/HCGNet/main_cifar.py `8897714b1e9b6396`	ran · fixture could not drive it	no licence file found · pointer only
Gated Convolutional Networks with Hybrid Connectivity for Image Classification	26 Aug 2019	winycg/HCGNet/main_imagenet.py `3d04404ba40305cc`	ran · fixture could not drive it	no licence file found · pointer only
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning	8 Aug 2019	EricArazo/PseudoLabeling/utils_pseudoLab/utils_ssl.py `3547e83bd03591ad`	unverified	MIT (permissive)
Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy	16 Jun 2019	identical code first harvested elsewhere `11b0ec76b88d8553`	ran · our draft was wrong	licence of this copy not recorded
Adversarial Examples Are Not Bugs, They Are Features	6 May 2019	ndb796/pytorch-adversarial-training-cifar/interpolated_adversarial_training.py `11b0ec76b88d8553`	ran · our draft was wrong	no licence file found · pointer only
mixup: Beyond Empirical Risk Minimization	25 Oct 2017	hongyi-zhang/mixup/cifar/utils.py `c8f7fd47a7acbaa3`	ran · fixture could not drive it	BSD-3-Clause (permissive)
mixup: Beyond Empirical Risk Minimization	25 Oct 2017	smilelab-fl/fednoisy/fednoisy/utils/mixup.py `1905009bf59716f6`	ran · fixture could not drive it fingerprinted	Apache-2.0 (permissive)
mixup: Beyond Empirical Risk Minimization	25 Oct 2017	Ryoo72/dimension-wise_mixup/models/utils.py `b062bea460457feb`	ran · fixture could not drive it	licence not identified · pointer only
mixup: Beyond Empirical Risk Minimization	25 Oct 2017	andychinka/dcase-challenge/asc/data_aug.py `4ef20d27ae01e4c3`	ran · fixture could not drive it fingerprinted	no licence file found · pointer only
mixup: Beyond Empirical Risk Minimization	25 Oct 2017	Hazelsuko07/InstaHide/train_cross.py `e7229d6a2824b389`	unverified	MIT (permissive)
Towards Deep Learning Models Resistant to Adversarial Attacks	19 Jun 2017	identical code first harvested elsewhere `b20f1357b1d8dbf8`	ran · fixture could not drive it	licence of this copy not recorded
Towards Deep Learning Models Resistant to Adversarial Attacks	19 Jun 2017	identical code first harvested elsewhere `11b0ec76b88d8553`	ran · our draft was wrong	licence of this copy not recorded
Adversarial Discriminative Domain Adaptation	17 Feb 2017	Backdrop9019/adda_pytorch-pseudo-mixup-/core/adapt.py `084dfb3d87216615`	ran · fixture could not drive it	no licence file found · pointer only
arXiv:openreview_GNrBEnHPPv		Gang-ww/ABFnet/utils.py `d9c095b213729e09`	unverified	MIT (permissive)
arXiv:aaai_29262		Keke921/H2T/methods.py `345e624f9cc2e32a`	ran · fixture could not drive it	MIT (permissive)
arXiv:aaai_16993		MJ1021/kcm-code/KCM_implementation_01152021/Binary/utils.py `de0013b0e10f3103`	unverified	Apache-2.0 (permissive)
arXiv:Lazarou_Iterative_Label_Cleaning_for_Transductive_and_Semi-Supervised_Few-Shot_Learning_ICCV_2021_paper		MichalisLazarou/iLPC/wrn_mixup_model.py `b53e6443d8a7fbf3`	unverified	MIT (permissive)
arXiv:136850478		leo-gb/UMA/ccs_training/models/mixup.py `345e624f9cc2e32a`	ran · fixture could not drive it	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