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ResNet34

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

ResNet34 appears in the code Syntology harvested for 91 papers, as 78 distinct code bodies found in 93 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 ResNet34 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 35 of the 78 distinct code bodies named ResNet34; 43 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
9ran · our draft was wrong
0ran · fixture could not drive it
26ran
43unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 31 of the 93 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

91 papers shown of 91, newest first; 93 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 6 papers added by Syntology; 6 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
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? added by Syntology 2026-06 (from id) Jiacheng8/FADRM/models/resnet.py f9e75567dfd01367 ran MIT (permissive)
FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning added by Syntology 5 Mar 2026 junkangLiu0/FedBCGD/models/resnet.py 779e90045d3680d8 unverified no licence file found · pointer only
When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining added by Syntology 2026-03 (from id) zhli-cs/BAIT/models/ResNet.py ac3dd06d1a08c549 unverified Apache-2.0 (permissive)
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts added by Syntology 2025-10 (from id) BaiLibl/ShadowPool/models/resnet.py bd5133ec748acd0f unverified no licence file found · pointer only
Long-Tailed Recognition via Information-Preservable Two-Stage Learning added by Syntology 2025-10 (from id) fudong03/BNS_IPDPP/models/models_resnet.py 01625650e8212242 unverified Apache-2.0 (permissive)
Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning added by Syntology 2025-10 (from id) Hengwei-Zhao96/NcPU/utils_model/NcPU.py a770e2ca7cc21944 unverified no licence file found · pointer only
FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation 30 Jun 2025 jiacheng8/fadrm/models/resnet.py f9e75567dfd01367 ran MIT (permissive)
Test-Time Adaptation with Binary Feedback 24 May 2025 taeckyung/BiTTA/models/ResNet.py 0db2a6b94d888b0e unverified MIT (permissive)
Prediction via Shapley Value Regression 7 May 2025 amrmalkhatib/ViaSHAP/resshap.py 1a9a780e3089ffb0 unverified MIT (permissive)
Dataset Distillation via Committee Voting 13 Jan 2025 jiacheng8/cv-dd/models/resnet.py f9e75567dfd01367 ran MIT (permissive)
Sparse patches adversarial attacks via extrapolating point-wise information 25 Nov 2024 yanemcovsky/sparsepatches/models/cifar10/resnet.py 92df69bfd3a2a190 ran · our draft was wrong no licence file found · pointer only
Sparse patches adversarial attacks via extrapolating point-wise information 25 Nov 2024 yanemcovsky/SparsePatches/models/cifar10/resnet.py a44db322b52fd5bb unverified no licence file found · pointer only
Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data 3 Sep 2024 wanlihongc/neural-collapse/train_utils.py 79c1cacca9bb2e2d ran no licence file found · pointer only
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail 13 Aug 2024 inar-design/patt/models/resnet.py 8de82e83c702450c ran Apache-2.0 (permissive)
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction 8 Aug 2024 sprinter1999/fedelc/resnets/model_resnet.py 3a03b2b229d94786 ran MIT (permissive)
FADAS: Towards Federated Adaptive Asynchronous Optimization 25 Jul 2024 yujiaw98/FADAS/models/resnet.py ac3dd06d1a08c549 unverified no licence file found · pointer only
Learning to Complement and to Defer to Multiple Users 9 Jul 2024 zhengzhang37/lecodu/PreResNet.py eee26fa0aef03470 ran · our draft was wrong no licence file found · pointer only
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges 5 Jun 2024 NohyunKi/BWS/model/resnet.py 38d8a6134f95e3ec ran no licence file found · pointer only
Robust Classification by Coupling Data Mollification with Label Smoothing 3 Jun 2024 markusheinonen/supervised-mollification/src/networks/resnet.py 1756cb6f79386fd3 ran no licence file found · pointer only
Provably Unlearnable Data Examples 6 May 2024 neuralsec/certified-data-learnability/models/ResNet.py ac3dd06d1a08c549 unverified no licence file found · pointer only
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders 2 May 2024 yuyi-sd/D-VAE/models/ResNet.py b2e6f658713469be ran MIT (permissive)
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor 11 Mar 2024 jaewonalive/peeraid/models/resnet.py d6b55f16ed793757 ran GPL-3.0 (copyleft) · pointer only
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement 11 Mar 2024 cheliu-computation/merl/finetune/models/resnet1d.py 4d972ff40178697e ran MIT (permissive)
Learning with Logical Constraints but without Shortcut Satisfaction 1 Mar 2024 SoftWiser-group/NeSy-without-Shortcuts/models/resnet.py a89d570c0420fa68 ran no licence file found · pointer only
Robust Training of Federated Models with Extremely Label Deficiency 22 Feb 2024 tmlr-group/Twin-sight/model/SSFL_ResNet18.py 1b648d9508676e89 ran MIT (permissive)
Towards Meta-Pruning via Optimal Transport 12 Feb 2024 alexandertheus/intra-fusion/model_architectures/resnet.py cb7cde1fc11439bc ran MIT (permissive)
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels 13 Jan 2024 chenchenzong/dpc/AAAI2024_DPC_code/PreResNet.py da291a22483b4cb4 ran no licence file found · pointer only
Entropic Open-set Active Learning 21 Dec 2023 bardisafa/eoal/resnet.py c0fc81d580cc0e4f ran no licence file found · pointer only
CR-SAM: Curvature Regularized Sharpness-Aware Minimization 21 Dec 2023 trustaiot/cr-sam/models/resnet.py 9e5e3e4cd9d178d9 unverified no licence file found · pointer only
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning 17 Dec 2023 mala-lab/cocl/models/resnet.py f0d6d8f321537b23 ran Apache-2.0 (permissive)
EAT: Towards Long-Tailed Out-of-Distribution Detection 14 Dec 2023 stomach-ache/long-tailed-ood-detection/models/our_resnet.py 902136f1bf7317f5 ran no licence file found · pointer only
Detection and Defense of Unlearnable Examples 14 Dec 2023 hala64/udp/model/ResNet.py ea4d8c8416d65342 ran no licence file found · pointer only
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training 5 Dec 2023 zhao1402072392/rest/sparselearning/models.py 69f1881e9527c23c ran no licence file found · pointer only
Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting 1 Dec 2023 sangamesh-kodge/class_forgetting/models/resnet.py b0429bb7e020f5fb unverified no licence file found · pointer only
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning 22 Nov 2023 jhoon-oh/FedBABU/models/ResNet.py ac3dd06d1a08c549 unverified MIT (permissive)
InstanT: Semi-supervised Learning with Instance-dependent Thresholds 29 Oct 2023 tmllab/2023_NeurIPS_InstanT/semilearn/algorithms/adamatch/T_estimator.py cc902b5d29331c9e ran MIT (permissive)
Combating Representation Learning Disparity with Geometric Harmonization 26 Oct 2023 MediaBrain-SJTU/Geometric-Harmonization/resnet.py c2b0a60d47724297 ran MIT (permissive)
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer 11 Oct 2023 ZackZikaiXiao/FedGraB/model/model_res.py 20a02fb684e52cb6 ran no licence file found · pointer only
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion 6 Oct 2023 bartwojcik/d2dmoe/architectures/resnets.py 724da9ddbe842c71 ran MIT (permissive)
Towards Mitigating Architecture Overfitting on Distilled Datasets 8 Sep 2023 cityu-mlo/mitigate_architecture_overfitting/model.py 85d94fdef1cf29c2 ran no licence file found · pointer only
Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates 28 Aug 2023 muratonuryildirim/cl-with-dst/models.py 35a348081e80bce5 ran MIT (permissive)
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples 26 Aug 2023 tmllab/2023_ICCV_LateStopping/LateStopping/resnetnew.py 10a2ee96b82870d4 ran no licence file found · pointer only
Characterizing Data Point Vulnerability via Average-Case Robustness 26 Jul 2023 ai4life-group/average-case-robustness/models/resnet.py 333bf028a3aa2d1f ran MIT (permissive)
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models 15 Mar 2023 hmdolatabadi/avatar/models/ResNet.py d8df895be3c7b30e unverified MIT (permissive)
Certified Robust Neural Networks: Generalization and Corruption Resistance 3 Mar 2023 ryanlucas3/hr_neural_networks/HR_Neural_Networks/Paper_experiments/Section_6.3/resnet.py 72f12a77446ad832 unverified MIT (permissive)
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach 7 Feb 2023 lanxiang1017/dynamicbadpairmining_iclr24/models/dbpm_model.py 3a802f69ecd390d5 ran · our draft was wrong no licence file found · pointer only
Label-Noise Learning with Intrinsically Long-Tailed Data 21 Aug 2022 wakings/tabasco/models/PreResNet.py eee26fa0aef03470 ran · our draft was wrong no licence file found · pointer only
On the Privacy Effect of Data Enhancement via the Lens of Memorization 17 Aug 2022 lixiaothu/privacy_and_aug/models/ResNet.py bdfee6e9a24e258f unverified MIT (permissive)
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels 29 Jul 2022 uitrbn/TSCSI_IDN/PreResNet.py eee26fa0aef03470 ran · our draft was wrong MIT (permissive)
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions 28 Jul 2022 cnc-ood/cnc_ood/models/resnet.py 135e97055dfaf8bd unverified MIT (permissive)
Domain Adaptation under Open Set Label Shift 26 Jul 2022 acmi-lab/open-set-label-shift/models/Resnet.py 448400e6aad91289 unverified Apache-2.0 (permissive)
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks 24 May 2022 cychomatica/one-pixel-shotcut/model/ResNet.py ca1d217d7ca5ddf4 unverified Apache-2.0 (permissive)
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering 23 May 2022 akhilmathurs/orchestra/models.py 37d17635667d7654 ran · our draft was wrong no licence file found · pointer only
Semi-supervised Semantic Segmentation with Error Localization Network 5 Apr 2022 kinux98/SSL_ELN/modeling/ELN.py 40e0da40c8d014b0 unverified MIT (permissive)
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning 28 Mar 2022 nazmul-karim170/unicon-noisy-label/PreResNet_cifar.py 837fb968d323f5b6 unverified MIT (permissive)
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning 28 Mar 2022 nazmul-karim170/unicon-noisy-label/PreResNet_tiny.py 303627d2a451896d unverified MIT (permissive)
Training Structured Neural Networks Through Manifold Identification and Variance Reduction 5 Dec 2021 zihsyuan1214/rmda/Experiments/Models/resnet50.py 10a3e7cea064b5d7 unverified MIT (permissive)
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? 1 Nov 2021 LijieFan/AdvCL/models/resnet_cifar.py 94f4059c6a99ea7a unverified MIT (permissive)
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization 18 Oct 2021 kentaroy47/vision-transformers-cifar10/models/resnet.py ac3dd06d1a08c549 unverified MIT (permissive)
Unrolling SGD: Understanding Factors Influencing Machine Unlearning 27 Sep 2021 cleverhans-lab/unrolling-sgd/ResNet_CIFAR10.py 9a28296ebc73a658 unverified MIT (permissive)
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets 12 Sep 2021 tajwarfahim/ood_detection_inconsistency/utils/siamese_network.py 9d4e412922385a20 ran · our draft was wrong no licence file found · pointer only
FedBABU: Towards Enhanced Representation for Federated Image Classification 4 Jun 2021 jhoon-oh/fedbabu/models/ResNet.py ac3dd06d1a08c549 unverified MIT (permissive)
Reliable Adversarial Distillation with Unreliable Teachers 9 Jun 2021 zfancy/iad/models/resnet.py 9aac0eec28d31210 unverified MIT (permissive)
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness 28 May 2021 LiJunnan1992/DivideMix/PreResNet.py eee26fa0aef03470 ran · our draft was wrong MIT (permissive)
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks 28 May 2021 DongyoungLim/THEO_POULA/models/resnet.py ac3dd06d1a08c549 unverified MIT (permissive)
A Bregman Learning Framework for Sparse Neural Networks 10 May 2021 TimRoith/BregmanLearning/models/resnet.py 3a99b51deb632de7 unverified MIT (permissive)
Exploring Simple Siamese Representation Learning 20 Nov 2020 Reza-Safdari/SimSiam/simsiam/model_factory.py efbcdfcbc565884f ran · our draft was wrong no licence file found · pointer only
Neural Bootstrapper 2 Oct 2020 sungbinlim/GBS/models/resnet.py b2a3b85f8f4dd6d3 unverified MIT (permissive)
Learning to Purify Noisy Labels via Meta Soft Label Corrector 3 Aug 2020 WuYichen-97/Learning-to-Purify-Noisy-Labels-via-Meta-Soft-Label-Corrector/resnet.py 3d76aed120d3f2a9 unverified MIT (permissive)
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows 15 Jul 2020 hmdolatabadi/AdvFlow/resnet.py e656d66272c6fd73 unverified MIT (permissive)
Adai: Separating the Effects of Adaptive Learning Rate and Momentum Inertia 29 Jun 2020 zeke-xie/adaptive-inertia-adai/model/resnet.py ac3dd06d1a08c549 unverified MIT (permissive)
Normalized Loss Functions for Deep Learning with Noisy Labels 24 Jun 2020 HanxunH/Active-Passive-Losses/archive/model.py 18a4a9f249bb889a unverified MIT (permissive)
Bootstrap your own latent: A new approach to self-supervised Learning 13 Jun 2020 liyi01827/noisy-contrastive/simsiam/model_factory.py a30de131b4f273c8 ran · our draft was wrong no licence file found · pointer only
FMix: Enhancing Mixed Sample Data Augmentation 27 Feb 2020 VirajBagal/FMix-Paper-Implementation/model.py 85d8c791298ea1f7 ran · our draft was wrong no licence file found · pointer only
Hold me tight! Influence of discriminative features on deep network boundaries 15 Feb 2020 LTS4/hold-me-tight/model_classes/mnist/resnet.py 6c239a83e0919035 unverified Apache-2.0 (permissive)
Preparing Lessons: Improve Knowledge Distillation with Better Supervision 18 Nov 2019 SforAiDl/KD_Lib/KD_Lib/models/resnet.py 86c26da00529c65b unverified MIT (permissive)
On the Relationship between Self-Attention and Convolutional Layers 8 Nov 2019 epfml/attention-cnn/models/resnet.py af3a6e8a2702592f unverified Apache-2.0 (permissive)
Confident Learning: Estimating Uncertainty in Dataset Labels 31 Oct 2019 chang-yue/ctrl/cifar10/models/resnet.py f9bdc20fe8505a75 unverified MIT (permissive)
Regression Networks for Meta-Learning Few-Shot Classification 31 May 2019 ArnoutDevos/RegressionNet/backbone.py ff6c4f8a05abb1d3 unverified MIT (permissive)
Network Deconvolution 28 May 2019 deconvolutionpaper/deconvolution/models/resnet.py 80b2eaf0a7fdbbb4 unverified Apache-2.0 (permissive)
Adversarially Robust Distillation 23 May 2019 goldblum/AdversariallyRobustDistillation/models/resnet.py 9aac0eec28d31210 unverified MIT (permissive)
Kervolutional Neural Networks 8 Apr 2019 liuch37/Kerception/models/resnet.py 0739a591b13f79cf unverified Apache-2.0 (permissive)
Multi-class Classification without Multi-class Labels 2 Jan 2019 GT-RIPL/L2C/models/resnet.py 10e7c9fb11ee37d6 unverified MIT (permissive)
Graph-Based Global Reasoning Networks 30 Nov 2018 ChriXiang/GloRe_pytorch/resnet_example.py e39cd693a1b17d14 ran · our draft was wrong no licence file found · pointer only
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search 18 Jul 2018 arberzela/EfficientNAS/workers/arch_space/model/resnet.py 3e9e6f460fea80bb unverified MIT (permissive)
ECG arrhythmia classification using a 2-D convolutional neural network 18 Apr 2018 lxdv/ecg-classification/models/models2d.py 6e6d1bd0db767e63 unverified MIT (permissive)
Wide Residual Networks 23 May 2016 thughost2/Padam/models/resnet.py ac3dd06d1a08c549 unverified Apache-2.0 (permissive)
arXiv:ijcai2023_0434 HotanLee/SFA/PreResNet.py da6a1c8dca7ef4c2 unverified MIT (permissive)
arXiv:aaai_33972 sangamesh-kodge/SAP/models/resnet.py a5f542287fef57fe unverified Apache-2.0 (permissive)
arXiv:aaai_28217 mala-lab/COCL/models/resnet.py f0d6d8f321537b23 ran Apache-2.0 (permissive)
arXiv:aaai_28019 VinAIResearch/COMBAT/classifier_models/resnet.py d563c06d8c1c752b unverified MIT (permissive)
arXiv:aaai_26027 UCAS-LCH/Twin-Rep/models/resnet.py e3ff5081e5907cec unverified MIT (permissive)
arXiv:Tang_Progressive_Attention_on_Multi-Level_Dense_Difference_Maps_for_Generic_Event_CVPR_2022_paper MCG-NJU/DDM/DDM-Net/modeling/resnet.py 05100e051ccf61f0 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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