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find_classes

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

find_classes appears in the code Syntology harvested for 61 papers, as 25 distinct code bodies found in 62 places (a place is one code body under one paper). At least one of them ran in 41 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 find_classes 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 8 of the 25 distinct code bodies named find_classes; 17 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
7ran
17unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 62 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

61 papers shown of 61, newest first; 62 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; 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.

PaperDateFileStatus SyntologyLicence
SORA: Free Second-Order Attacks in Fast Adversarial Training added by Syntology 2026-06 (from id) tmllab/2023_NeurIPS_AAER/Imagenet-100/Imagenet.py 403277d0bfbb477b ran MIT (permissive)
CALM: Consensus-Aware Localized Merging for Multi-Task Learning 16 Jun 2025 yankd22/calm/src/datasets/gtsrb.py e0bf92d9d3e3a7e6 unverified no licence file found · pointer only
SeqPE: Transformer with Sequential Position Encoding 16 Jun 2025 ghrua/seqpe/image_seqpe/eval/prepare_imagenet_c.py 9347fb42c15d6687 ran · our draft was wrong no licence file found · pointer only
One-shot Federated Learning via Synthetic Distiller-Distillate Communication 6 Dec 2024 Carkham/FedSD2C/preprocessing/Imagenette.py 7c734ce1770698ff unverified Apache-2.0 (permissive)
What If the Input is Expanded in OOD Detection? 24 Oct 2024 tmlr-group/cover/utils/imagenet_c/make_imagenet_c.py 9347fb42c15d6687 ran · our draft was wrong no licence file found · pointer only
CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization 4 Aug 2024 brain-cog-lab/cace-net/CACE/braincog/datasets/TinyImageNet.py 403277d0bfbb477b ran MIT (permissive)
ControlVAR: Exploring Controllable Visual Autoregressive Modeling 14 Jun 2024 lxa9867/ControlVAR/datasets/imagenetC.py 65d02fdb37906970 ran no licence file found · pointer only
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency 25 May 2024 tmllab/2024_ICML_LAP/Tiny-imagenet/tiny_imagenet.py 403277d0bfbb477b ran MIT (permissive)
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation 6 May 2024 gtzheng/LBC/datasets/in9_data.py 0ea0c32c88e93404 ran no licence file found · pointer only
ATAT: Astronomical Transformer for time series And Tabular data 2024-05 (from id) alercebroker/atat/datasets.py 52d10a10fb72fb9f ran Apache-2.0 (permissive)
EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence 16 Apr 2024 amazon-science/contrastive_emc2/folder.py 904c357058bab2d9 ran Apache-2.0 (permissive)
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization 11 Apr 2024 tmllab/2023_neurips_aaer/Imagenet-100/Imagenet.py 403277d0bfbb477b ran MIT (permissive)
Training Unbiased Diffusion Models From Biased Dataset 2 Mar 2024 ermongroup/fairgen/src/KL-BigGAN/datasets.py 52d10a10fb72fb9f ran no licence file found · pointer only
TIM: An Efficient Temporal Interaction Module for Spiking Transformer 22 Jan 2024 BrainCog-X/Brain-Cog/braincog/datasets/TinyImageNet.py 403277d0bfbb477b ran Apache-2.0 (permissive)
Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning 9 Oct 2023 LINs-lab/HCFL/create_c/make_imagenet_64_c.py 9347fb42c15d6687 ran · our draft was wrong no licence file found · pointer only
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation 30 Sep 2023 tmtuan1307/nayer/datafree/datasets/tiny_imagenet.py 403277d0bfbb477b ran no licence file found · pointer only
Fine-grained Recognition with Learnable Semantic Data Augmentation 1 Sep 2023 LeapLabTHU/LearnableISDA/utils/dataset.py 0302e6bc4693eb92 unverified no licence file found · pointer only
Exploring Model Transferability through the Lens of Potential Energy 29 Aug 2023 lixiaotong97/ped/datasets/aircraft.py 0302e6bc4693eb92 unverified no licence file found · pointer only
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning 18 Aug 2023 tamasham/napa-vq/data_managers/data_manager_imagenet.py 0a1291a79fa30bb8 ran no licence file found · pointer only
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability 6 Jul 2023 xuanlinli17/large_vlm_distillation_ood/custom_data_loader.py d0e6021d958f30c1 ran MIT (permissive)
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge 24 May 2023 alpc91/NICE-GAN-pytorch/dataset.py 52d10a10fb72fb9f ran MIT (permissive)
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation 26 Apr 2023 gnobitab/FuseDream/BigGAN_utils/datasets.py 52d10a10fb72fb9f ran MIT (permissive)
Leaving Reality to Imagination: Robust Classification via Generated Datasets 5 Feb 2023 hritikbansal/generative-robustness/generation/DeepAugment/CAE_distort_imagenet.py 36a1160d7f36cda6 unverified MIT (permissive)
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning 26 Nov 2022 tristandeleu/synergies-disentanglement-sparsity/metaoptnet/omniglot_loaders.py 55cf3e7015913e49 unverified MIT (permissive)
Switchable Online Knowledge Distillation 12 Sep 2022 hfutqian/SwitOKD/SwitOKD_code/Tiny-ImageNet/Train/SwitOKD/tiny_imagenet.py 403277d0bfbb477b ran Apache-2.0 (permissive)
Domain Adaptation under Open Set Label Shift 26 Jul 2022 VisionLearningGroup/DANCE/data_loader/mydataset.py 52d10a10fb72fb9f ran MIT (permissive)
Removing Batch Normalization Boosts Adversarial Training 4 Jul 2022 amazon-research/normalizer-free-robust-training/deepaug/CAE_distort_imagenet.py 36a1160d7f36cda6 unverified Apache-2.0 (permissive)
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis 19 Jun 2022 lyqcom/biggan/src/datasets.py 130fb10627e87139 unverified Apache-2.0 (permissive)
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training 31 May 2022 liang-hou/augself-gan/augself-biggan/datasets.py 52d10a10fb72fb9f ran MIT (permissive)
Multiple-environment Self-adaptive Network for Aerial-view Geo-localization 18 Apr 2022 layumi/University1652-Baseline/folder.py a70d8fe80b6407e1 unverified MIT (permissive)
Mugs: A Multi-Granular Self-Supervised Learning Framework 27 Mar 2022 sail-sg/mugs/src/dataset.py e8a374d2601aaaa9 unverified Apache-2.0 (permissive)
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks 28 Jan 2022 ajbrock/BigGAN-PyTorch/datasets.py 52d10a10fb72fb9f ran MIT (permissive)
Optimization-based Causal Estimation from Heterogenous Environments 24 Sep 2021 mingzhang-yin/coco/src/exp_animal/dataset.py 9d0a9b1a4baec938 unverified MIT (permissive)
Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning 18 Jun 2021 illidanlab/FedRBN/utils/data_utils.py d314609fe14f2e8d unverified MIT (permissive)
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers 28 May 2021 VisionLearningGroup/OP_Match/dataset/mydataset.py 52d10a10fb72fb9f ran MIT (permissive)
OVANet: One-vs-All Network for Universal Domain Adaptation 7 Apr 2021 VisionLearningGroup/OVANet/data_loader/mydataset.py 52d10a10fb72fb9f ran MIT (permissive)
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers 24 Mar 2021 zeyuanyin/tiny-imagenet/classification/tiny_imagenet_dataset.py 403277d0bfbb477b ran MIT (permissive)
Differential Viewpoints for Ground Terrain Material Recognition 22 Sep 2020 jiaxue1993/pytorch-material-classification/dataloader/dtd.py 52d10a10fb72fb9f ran Apache-2.0 (permissive)
Differential Viewpoints for Ground Terrain Material Recognition 22 Sep 2020 jiaxue1993/pytorch-material-classification/dataloader/gtos.py 0ba3fdb267529f87 unverified Apache-2.0 (permissive)
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement 24 Aug 2020 wpeebles/hessian_penalty/biggan_discovery/datasets.py 52d10a10fb72fb9f ran BSD-2-Clause (permissive)
A Benchmark of Medical Out of Distribution Detection 8 Jul 2020 caotians1/OD-test-master/datasets/TinyImagenet.py 52d10a10fb72fb9f ran MIT (permissive)
Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets 25 Jun 2020 AI-secure/Meta-Neural-Kernel/support/omniglot_loaders.py 7c477c388fa699a2 unverified MIT (permissive)
Training Generative Adversarial Networks with Limited Data 11 Jun 2020 sangyun884/Face2Webtoon/dataset.py 52d10a10fb72fb9f ran MIT (permissive)
Controllable Orthogonalization in Training DNNs 2 Apr 2020 huangleiBuaa/ONI/ONI_PyTorch/GAN/datasets.py 52d10a10fb72fb9f ran BSD-2-Clause (permissive)
University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 27 Feb 2020 wtyhub/LPN/image_folder.py 36a1160d7f36cda6 unverified MIT (permissive)
Fast is better than free: Revisiting adversarial training 12 Jan 2020 aliborji/Shapedefence/make_imagenet_64_c.py 52d10a10fb72fb9f ran MIT (permissive)
MineGAN: effective knowledge transfer from GANs to target domains with few images 11 Dec 2019 yaxingwang/MineGAN/datasets.py 52d10a10fb72fb9f ran MIT (permissive)
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data 17 Nov 2019 sunblaze-ucb/REFIT/helpers/ImageFolderCustomClass.py 52d10a10fb72fb9f ran MIT (permissive)
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation 25 Jul 2019 znxlwm/UGATIT-pytorch/dataset.py 52d10a10fb72fb9f ran MIT (permissive)
Equivariant Multi-View Networks 1 Apr 2019 daniilidis-group/emvn/emvn/custom_dataset.py eeef79c297b71bce unverified MIT (permissive)
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet 13 Mar 2019 vinits5/PointNetLK/utils/globset.py 5d874cf35d01bf68 unverified MIT recorded; this copy not marked cleared · pointer only
Large Scale GAN Training for High Fidelity Natural Image Synthesis 28 Sep 2018 kidist-amde/biggan-pytorch/datasets.py 52d10a10fb72fb9f ran MIT (permissive)
A Less Biased Evaluation of Out-of-distribution Sample Detectors 13 Sep 2018 safednn-group/nap-ood/datasets/TinyImagenet.py 52d10a10fb72fb9f ran MIT (permissive)
Self-Attention Generative Adversarial Networks 21 May 2018 Atmosphere-art/Self-Attention-GAN/dataset.py a991cda315bdf446 unverified MIT (permissive)
Large-Scale Image Retrieval with Attentive Deep Local Features 19 Dec 2016 nashory/DeLF-pytorch/extract/folder.py 52d10a10fb72fb9f ran MIT (permissive)
Colorful Image Colorization 28 Mar 2016 Callifrey/Paddle-CIC/dataset.py 470a3aab197bbe05 unverified Apache-2.0 (permissive)
Generative Adversarial Networks 10 Jun 2014 WANG-Chaoyue/EvolutionaryGAN-pytorch/inception_pytorch/datasets.py 52d10a10fb72fb9f ran MIT (permissive)
arXiv:aaai_25284 wjun0830/MOVE/Imbalanced-MiniKinetics200/dataset/imbalance_minikinetics.py 979081406e6f783d unverified MIT (permissive)
arXiv:aaai_20902 bxz9200/CLPA/datasets.py 52d10a10fb72fb9f ran MIT (permissive)
arXiv:aaai_20247 csmiler/ProbeGAN/datasets.py 52d10a10fb72fb9f ran MIT (permissive)
arXiv:Ren_Masked_Jigsaw_Puzzle_A_Versatile_Position_Embedding_for_Vision_Transformers_CVPR_2023_paper yhlleo/MJP/eval/prepare_imagenet_c.py 9347fb42c15d6687 ran · our draft was wrong MIT (permissive)
arXiv:Iofinova_How_Well_Do_Sparse_ImageNet_Models_Transfer_CVPR_2022_paper IST-DASLab/sparse-imagenet-transfer/utils/transfer/aircraft.py 0302e6bc4693eb92 unverified Apache-2.0 (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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