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get_mean_and_std

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

get_mean_and_std appears in the code Syntology harvested for 55 papers, as 12 distinct code bodies found in 55 places (a place is one code body under one paper). At least one of them ran in 24 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 get_mean_and_std 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 4 of the 12 distinct code bodies named get_mean_and_std; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
4ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 55 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

55 papers shown of 55, newest first; 55 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; 3 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
Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks added by Syntology 2026-05 (from id) KaiSUN1/SeAl/util/misc.py 2c92cec199cf12cd ran no licence file found · pointer only
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition 8 Oct 2024 zhouzihao11/CCL/utils/misc.py 8c82d522e7c85b05 ran no licence file found · pointer only
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification 7 Oct 2024 jimmyxu123/SELECT/vtab/getDataLoader.py 44aa6596c2101dce ran MIT (permissive)
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning 19 Jun 2024 gank0078/boat/utils/misc.py 8c82d522e7c85b05 ran no licence file found · pointer only
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning 15 Mar 2024 LeeHyuck/CDMAD/utils/misc.py 1d6e2edb8832d7b0 unverified no licence file found · pointer only
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning 21 Feb 2024 leaplabthu/simpro/SimPro/utils/misc.py 8c82d522e7c85b05 ran no licence file found · pointer only
Label Poisoning is All You Need 29 Oct 2023 SewoongLab/FLIP/modules/pytorch_cifar/utils.py 7bd3a77007a65eec unverified MIT (permissive)
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization 14 Aug 2023 greenautoml4fas/hypersparse/utils/misc.py 2c92cec199cf12cd ran BSD-3-Clause (permissive)
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering 20 Jul 2023 dyjdongyijun/Semi_Supervised_Knowledge_Distillation/utils/misc.py 8c82d522e7c85b05 ran MIT (permissive)
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability 6 Jul 2023 xuanlinli17/large_vlm_distillation_ood/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification 23 May 2023 raymin0223/patch-mix_contrastive_learning/util/icbhi_util.py d1752516e4658ffa unverified MIT (permissive)
Bayesian Optimization Meets Self-Distillation 25 Apr 2023 sooperset/boss/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
Maximally Compact and Separated Features with Regular Polytope Networks 15 Jan 2023 matteo-bruni/regular-polytope-networks/utils.py 3cbdd3b190b16350 ran · metamorphic tier: well formed MIT (permissive)
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model 14 Dec 2022 maohaos2/PosthocUQ/utils.py 3cbdd3b190b16350 ran · metamorphic tier: well formed MIT (permissive)
Efficient and Effective Augmentation Strategy for Adversarial Training 27 Oct 2022 val-iisc/DAJAT/utils/misc.py 3cbdd3b190b16350 ran · metamorphic tier: well formed MIT (permissive)
Unified Normalization for Accelerating and Stabilizing Transformers 2 Aug 2022 hikvision-research/unified-normalization/image_classification/utils.py 3cbdd3b190b16350 ran · metamorphic tier: well formed Apache-2.0 (permissive)
Learning Domain Adaptive Object Detection with Probabilistic Teacher 13 Jun 2022 hikvision-research/probabilisticteacher/augment/normalize.py 1bc251af2efa1bd9 unverified Apache-2.0 (permissive)
Diffusion Models for Adversarial Purification 16 May 2022 chail/gan-ensembling/networks/classifiers/cifar10_utils.py 3cbdd3b190b16350 ran · metamorphic tier: well formed MIT (permissive)
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis 11 May 2022 chenwydj/architecture_convergence/mlp_code/utils.py 3cbdd3b190b16350 ran · metamorphic tier: well formed MIT (permissive)
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions 28 Jan 2022 jiachens/ModelNet40-C/pointMLP/classification_ModelNet40/utils/misc.py 2c92cec199cf12cd ran BSD-3-Clause (permissive)
HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance 23 Nov 2021 Xiaoxuan-Yang/HERO/utils/misc.py 1d6e2edb8832d7b0 unverified Apache-2.0 (permissive)
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? 1 Nov 2021 LijieFan/AdvCL/utils.py 36f7a4371ed533f0 unverified MIT (permissive)
Dynamic Causal Bayesian Optimization 26 Oct 2021 neildhir/dcbo/dcbo/experimental/analyse_results.py df2fcd3b06026a34 unverified MIT (permissive)
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning 6 Oct 2021 TonyLianLong/UnsupervisedSelectiveLabeling/semisup-fixmatch-cifar/utils.py 8c82d522e7c85b05 ran MIT (permissive)
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition 23 Jun 2021 houqb/visionpermutator/utils.py 3cbdd3b190b16350 ran · metamorphic tier: well formed MIT (permissive)
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients 15 Jun 2021 LIJUNYI95/SuperAdam/utils.py 7bd3a77007a65eec unverified MIT (permissive)
Hybrid Generative-Contrastive Representation Learning 11 Jun 2021 kakaobrain/scrl/augment/normalize.py 1bc251af2efa1bd9 unverified Apache-2.0 (permissive)
k-Mixup Regularization for Deep Learning via Optimal Transport 5 Jun 2021 anminggu/kmixup-cifar10/utils.py 3cbdd3b190b16350 ran · metamorphic tier: well formed MIT (permissive)
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning 1 Jun 2021 TACJu/Bi-Sampling/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers 28 May 2021 VisionLearningGroup/OP_Match/utils/misc.py 8c82d522e7c85b05 ran MIT (permissive)
Scaling Properties of Deep Residual Networks 25 May 2021 instadeepai/scaling-resnets/cifar_utils.py 3cbdd3b190b16350 ran · metamorphic tier: well formed MIT (permissive)
RATT: Leveraging Unlabeled Data to Guarantee Generalization 1 May 2021 acmi-lab/ratt_generalization_bound/utils.py 7bd3a77007a65eec unverified Apache-2.0 (permissive)
Vision Transformer Pruning 17 Apr 2021 cydia2018/vit-cifar10-pruning/utils.py 7bd3a77007a65eec unverified MIT (permissive)
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning 24 Apr 2020 bearpaw/pytorch-classification/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
Designing Network Design Spaces 30 Mar 2020 Alessiacosmos/Basic-RegNet-pytorch/utils/dataset.py d2c4ab4309330f86 unverified MIT (permissive)
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks 26 Feb 2020 ksandeshk/spatial-vs-robustness/gcnn/utils.py 7bd3a77007a65eec unverified MIT (permissive)
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise 12 Aug 2019 gbup-group/IEBN/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
On the Variance of the Adaptive Learning Rate and Beyond 8 Aug 2019 LiyuanLucasLiu/RAdam/cifar_imagenet/utils/misc.py 2c92cec199cf12cd ran Apache-2.0 (permissive)
A General Framework for Uncertainty Estimation in Deep Learning 16 Jul 2019 mattiasegu/uncertainty_estimation_deep_learning/utils.py 3cbdd3b190b16350 ran · metamorphic tier: well formed MIT (permissive)
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization 9 Jul 2019 kenjikawaguchi/qSGD/cifar10_WideResNet/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
Deep Gamblers: Learning to Abstain with Portfolio Theory 29 Jun 2019 Z-T-WANG/NIPS2019DeepGamblers/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
When Does Label Smoothing Help? 6 Jun 2019 seominseok0429/label-smoothing-visualization-pytorch/utils.py 3cbdd3b190b16350 ran · metamorphic tier: well formed no licence file found · pointer only
DIANet: Dense-and-Implicit Attention Network 25 May 2019 gbup-group/DIANet/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
MixMatch: A Holistic Approach to Semi-Supervised Learning 6 May 2019 kevinghst/mixmatch/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach 11 Apr 2019 human-analysis/MaxEnt-ARL/utils/misc.py 2c92cec199cf12cd ran MIT (permissive)
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation 25 Dec 2018 machine-perception-robotics-group/attention_branch_network/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization 14 Nov 2018 LeungSamWai/Drop-Activation/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
Knowledge Distillation by On-the-Fly Native Ensemble 12 Jun 2018 Lan1991Xu/ONE_NeurIPS2018/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
Lightweight Probabilistic Deep Networks 29 May 2018 uzh-rpg/deep_uncertainty_estimation/utils.py 3cbdd3b190b16350 ran · metamorphic tier: well formed MIT (permissive)
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks 21 May 2018 hyeonseob-nam/Batch-Instance-Normalization/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
Wide Residual Networks 23 May 2016 thughost2/Padam/utils.py 7bd3a77007a65eec unverified Apache-2.0 (permissive)
Identity Mappings in Deep Residual Networks 16 Mar 2016 brain-bzh/MCNN/defferard/utils.py 7bd3a77007a65eec unverified MIT (permissive)
arXiv:aaai_6628 Yuxin-CV/DTN/utils/misc.py 1d6e2edb8832d7b0 unverified MIT (permissive)
arXiv:136710691 SYVAE/MetaGF/data.py 6965b9162cc40871 unverified MIT (permissive)
arXiv:03451 zhongshsh/ASR/utils/misc.py 1d6e2edb8832d7b0 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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