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resnet32

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

resnet32 appears in the code Syntology harvested for 47 papers, as 41 distinct code bodies found in 51 places (a place is one code body under one paper). At least one of them ran in 14 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 resnet32 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 12 of the 41 distinct code bodies named resnet32; 29 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
0ran · fixture could not drive it
9ran
29unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 51 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

47 papers shown of 47, newest first; 51 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.

PaperDateFileStatus SyntologyLicence
Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View added by Syntology 2026-05 (from id) tongzixin716716/Inverse-Loss-Reweighting/dataset/resnet_cifar.py a46153beb2cbece1 unverified no licence file found · pointer only
Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View added by Syntology 2026-05 (from id) tongzixin716716/Inverse-Loss-Reweighting/models/resnet_cifar.py a8d9ab2416197501 unverified no licence file found · pointer only
Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise added by Syntology 2026-04 (from id) YuanjieSh/CMRM/Multi_code_synthetic_noise/models/resnet_cifar.py c855e300f1337b9f unverified MIT (permissive)
Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise added by Syntology 2026-04 (from id) YuanjieSh/CMRM/Multi_code_synthetic_noise/models/resnet_eurosat.py 11d038f53d77a8d2 unverified MIT (permissive)
Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise added by Syntology 2026-04 (from id) YuanjieSh/CMRM/Multi_code_synthetic_noise/models/resnet_tiny.py 1f54eef2129f31e1 unverified MIT (permissive)
Grow, Assess, Compress: Adaptive Backbone Scaling for Memory-Efficient Class Incremental Learning added by Syntology 2026-03 (from id) ai-digilab/GRACE/models/grace.py 22f47f87baaaf7b7 ran licence not identified · pointer only
RoBo6: Standardized MMT Light Curve Dataset for Rocket Body Classification 30 Nov 2024 kyselica12/RoBo6_Model_Comparison/modules/resnet.py b5ee43837cb90c5c unverified no licence file found · pointer only
SAMPa: Sharpness-aware Minimization Parallelized 14 Oct 2024 LIONS-EPFL/SAMPa/model/resnet.py 85364deb653f2cf6 ran no licence file found · pointer only
Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships 17 Jul 2024 mitvis/abstraction-alignment/util/cifar/resnet.py 85364deb653f2cf6 ran no licence file found · pointer only
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration 10 Jun 2024 yuanjiesh/rc3p/models/resnet_cifar.py c855e300f1337b9f unverified MIT (permissive)
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration 10 Jun 2024 yuanjiesh/rc3p/models/resnet_eurosat.py 11d038f53d77a8d2 unverified MIT (permissive)
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning 21 Mar 2024 tmtuan1307/lander/convs/cresnet.py 3df67b56f34a9310 ran no licence file found · pointer only
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms 28 Dec 2023 fxrshed/sania/experiments/cifar_resnet.py 472997c84869ac7f ran no licence file found · pointer only
Adversarially Robust Spiking Neural Networks Through Conversion 15 Nov 2023 igitugraz/robustsnnconversion/models/ResNet.py 8f31bfc6d10d109f unverified MIT (permissive)
Dynamic Residual Classifier for Class Incremental Learning 25 Aug 2023 chen-xw/drc-cil/models/mafdrc.py f1278a0a9a202fbf ran no licence file found · pointer only
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training 12 Aug 2023 jianshuod/tba/models/vanilla_resnet.py 4d1d3d6506466614 ran Apache-2.0 (permissive)
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning 3 Aug 2023 zyuh/bdr-main/networks/resnet32.py 207dfc366b9bb7c9 ran no licence file found · pointer only
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability 15 Jul 2023 cgcl-codes/transferattacksurrogates/TransferAttack/models/resnet_cifar.py 580a194529286f83 ran MIT (permissive)
Improving Online Continual Learning Performance and Stability with Temporal Ensembles 29 Jun 2023 albinsou/online_ema/toolkit/models.py 7fc38981a7259751 unverified MIT (permissive)
Adaptive Compression in Federated Learning via Side Information 22 Jun 2023 francescopase/federated-klms/flower_fl/models/resnet.py a91a0a3d5796b8d8 unverified MIT (permissive)
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning 3 Jun 2023 AvestimehrResearchGroup/GPT-FL/synthetic_data_generation/resnet.py e6d2849e622ef725 unverified MIT recorded; this copy not marked cleared · pointer only
Decoupled Training for Long-Tailed Classification With Stochastic Representations 19 Apr 2023 kaidic/LDAM-DRW/models/resnet_cifar.py 11d038f53d77a8d2 unverified MIT (permissive)
Fast Inference in Denoising Diffusion Models via MMD Finetuning 19 Jan 2023 diegovalsesia/mmd-ddm/models/resnet.py 0afc6fa486224b4e unverified MIT (permissive)
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration 29 Nov 2022 yungchentang/NCToolkit/neural_clamping/models/resnet_cifar10.py 85364deb653f2cf6 ran MIT (permissive)
COLLIDER: A Robust Training Framework for Backdoor Data 13 Oct 2022 hmdolatabadi/collider/models/resnet_cifar.py 673b646b5aa019be unverified MIT (permissive)
On the Importance and Applicability of Pre-Training for Federated Learning 23 Jun 2022 andytu28/fps_pre-training/resnet_cifar.py 191251b55f377d5c unverified BSD-3-Clause (permissive)
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets 17 Jun 2022 hongxin001/open-sampling/alg/oe.py 2c6392d2c02f6238 ran · our draft was wrong no licence file found · pointer only
FOSTER: Feature Boosting and Compression for Class-Incremental Learning 10 Apr 2022 G-U-N/ECCV22-FOSTER/models/foster.py dff6861d5062f441 ran MIT (permissive)
Self-Distillation from the Last Mini-Batch for Consistency Regularization 30 Mar 2022 Meta-knowledge-Lab/DLB/models/resnet.py 27f75f2cf2e7d03a unverified MIT (permissive)
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective 6 Nov 2021 XuZhengzhuo/Prior-LT/models/resnet_cifar.py 11d038f53d77a8d2 unverified MIT (permissive)
Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms 30 Aug 2021 jsalbert/biotorch/biotorch/models/small_resnet.py 39a8f2409ed521f4 unverified Apache-2.0 (permissive)
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise 21 Jun 2021 hongxin001/open-sampling/alg/ood_noise.py 6c0f9be9596f3ff6 ran · our draft was wrong no licence file found · pointer only
Unsupervised Layered Image Decomposition into Object Prototypes 29 Apr 2021 monniert/dti-sprites/src/model/mini_resnet.py b1c4b3a22a8d30fd unverified MIT (permissive)
Improving Calibration for Long-Tailed Recognition 1 Apr 2021 Jia-Research-Lab/MiSLAS/models/resnet_cifar.py 11d038f53d77a8d2 unverified MIT (permissive)
Rethinking Neural Operations for Diverse Tasks 29 Mar 2021 mkhodak/relax/examples/resnet/resnet.py ccbabd3d954fa0a8 unverified MIT (permissive)
Long-tail learning via logit adjustment 14 Jul 2020 Chumsy0725/logit-adj-pytorch/model.py 5c366b81e063413b unverified MIT (permissive)
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks 22 Jun 2020 aks2203/poisoning-benchmark/models/clbd_resnet.py 8d80f28c32ded9d5 unverified MIT (permissive)
Deep Transformation-Invariant Clustering 19 Jun 2020 monniert/dti-clustering/src/model/mini_resnet.py d616bd25aff63b33 unverified MIT (permissive)
ReZero is All You Need: Fast Convergence at Large Depth 10 Mar 2020 fabio-deep/ReZero-ResNet/src/resnet.py 0062b25c7d99c79a ran · our draft was wrong MIT (permissive)
Meta Label Correction for Noisy Label Learning 10 Nov 2019 microsoft/mlc/CIFAR/resnet.py b4009156896f530b unverified MIT (permissive)
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks 18 Sep 2019 youzhonghui/gate-decorator-pruning/models/cifar/resnet56.py aee5de704735856b unverified Apache-2.0 (permissive)
Mish: A Self Regularized Non-Monotonic Activation Function 23 Aug 2019 digantamisra98/Mish/exps/resnet.py 278ef88735703a97 unverified MIT (permissive)
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss 18 Jun 2019 ihaeyong/maximum-margin-ldam/models/resnet_cifar.py 11d038f53d77a8d2 unverified MIT (permissive)
Learning What and Where to Transfer 15 May 2019 alinlab/L2T-ww/models/resnet_cifar.py e54be8b23ef75062 unverified MIT (permissive)
Learned Step Size Quantization 21 Feb 2019 zhutmost/lsq-net/model/resnet_cifar.py 472d3c550a61f926 unverified MIT (permissive)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation 2 Nov 2015 zhuotongchen/self-healing-robust-neural-networks-via-closed-loop-control/models/model_resnet.py cde96b08dba3ed5b unverified MIT (permissive)
arXiv:aaai_29262 Keke921/H2T/models/resnet_cifar.py 11d038f53d77a8d2 unverified MIT (permissive)
arXiv:aaai_16351 taoxvzi/DPFPS/models/resnet_cifar.py edc394971fd216f6 unverified MIT (permissive)
arXiv:Wen_Class_Incremental_Learning_with_Multi-Teacher_Distillation_CVPR_2024_paper HaitaoWen/CLearning/model/resnet_cifar.py 29d33a491cd562b7 unverified MIT (permissive)
arXiv:Chen_AREA_Adaptive_Reweighting_via_Effective_Area_for_Long-Tailed_Classification_ICCV_2023_paper xiaohua-chen/AREA/models/resnet_cifar.py 4bac008c4646680c unverified MIT (permissive)
arXiv:2022.naacl-main.64 microsoft/MLC/CIFAR/resnet.py b4009156896f530b 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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