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plot_overlap

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

plot_overlap appears in the code Syntology harvested for 37 papers, as 7 distinct code bodies found in 37 places (a place is one code body under one paper). At least one of them ran in 28 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 plot_overlap 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 1 of the 7 distinct code bodies named plot_overlap; 6 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
0ran
6unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 37 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

37 papers shown of 37, newest first; 37 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; 4 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
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition 8 Oct 2024 zhouzihao11/CCL/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong no licence file found · pointer only
Learning to Make Keypoints Sub-Pixel Accurate 16 Jul 2024 kimsinjeong/keypt2subpx/logger.py 50afa2863ffd9fde ran · our draft was wrong Apache-2.0 (permissive)
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning 19 Jun 2024 gank0078/boat/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong no licence file found · pointer only
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning 15 Mar 2024 LeeHyuck/CDMAD/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong no licence file found · pointer only
Why Transformers Need Adam: A Hessian Perspective 26 Feb 2024 zyushun/hessian-spectrum/language_models/logger.py 50afa2863ffd9fde ran · our draft was wrong 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/logger.py 50afa2863ffd9fde ran · our draft was wrong no licence file found · pointer only
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks 7 Feb 2024 huuyulong/complementary-lif/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong no licence file found · pointer only
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks 11 Dec 2023 yfguo91/ternary-spike/myutils/logger.py 50afa2863ffd9fde ran · our draft was wrong no licence file found · pointer only
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability 6 Jul 2023 xuanlinli17/large_vlm_distillation_ood/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
Bayesian Optimization Meets Self-Distillation 25 Apr 2023 sooperset/boss/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
Efficient and Effective Augmentation Strategy for Adversarial Training 27 Oct 2022 val-iisc/DAJAT/utils/logger.py 093c9b30736e13f4 unverified MIT (permissive)
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions 28 Jan 2022 jiachens/ModelNet40-C/pointMLP/classification_ModelNet40/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong BSD-3-Clause (permissive)
HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance 23 Nov 2021 Xiaoxuan-Yang/HERO/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong Apache-2.0 (permissive)
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning 1 Jun 2021 TACJu/Bi-Sampling/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
T-GD: Transferable GAN-generated Images Detection Framework 10 Aug 2020 cutz-j/T-GD/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning 24 Apr 2020 bearpaw/pytorch-classification/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
Learning from Synthetic Animals 17 Dec 2019 chaneyddtt/UDA-Animal-Pose/pose/utils/logger.py 921113cf2a16c965 unverified MIT (permissive)
Adversarial Examples Improve Image Recognition 21 Nov 2019 tingxueronghua/pytorch-classification-advprop/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
Visual Privacy Protection via Mapping Distortion 5 Nov 2019 PerdonLiu/Visual-Privacy-Protection-via-Mapping-Distortion/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong Apache-2.0 (permissive)
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise 12 Aug 2019 gbup-group/IEBN/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
On the Variance of the Adaptive Learning Rate and Beyond 8 Aug 2019 LiyuanLucasLiu/RAdam/cifar_imagenet/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong Apache-2.0 (permissive)
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization 9 Jul 2019 kenjikawaguchi/qSGD/cifar10_WideResNet/utils/logger.py 692b4557b97783d6 unverified MIT (permissive)
Deep Gamblers: Learning to Abstain with Portfolio Theory 29 Jun 2019 Z-T-WANG/NIPS2019DeepGamblers/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
DIANet: Dense-and-Implicit Attention Network 25 May 2019 gbup-group/DIANet/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
MixMatch: A Holistic Approach to Semi-Supervised Learning 6 May 2019 kevinghst/mixmatch/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach 11 Apr 2019 human-analysis/MaxEnt-ARL/utils/logger.py fb4747f9907dbad8 unverified MIT (permissive)
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation 25 Dec 2018 machine-perception-robotics-group/attention_branch_network/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization 14 Nov 2018 LeungSamWai/Drop-Activation/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation 26 Jul 2018 garyzhao/FRGAN/common/logger.py 921113cf2a16c965 unverified Apache-2.0 (permissive)
Knowledge Distillation by On-the-Fly Native Ensemble 12 Jun 2018 Lan1991Xu/ONE_NeurIPS2018/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks 21 May 2018 hyeonseob-nam/Batch-Instance-Normalization/utils/logger.py 165303fa79b2fe9b unverified MIT (permissive)
Large-Scale Image Retrieval with Attentive Deep Local Features 19 Dec 2016 nashory/DeLF-pytorch/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
Aggregated Residual Transformations for Deep Neural Networks 16 Nov 2016 mindspore-courses/MindSpore-classification/utils/logger.py 98285059902b55ce unverified MIT (permissive)
arXiv:Zhong_T-Net_Effective_Permutation-Equivariant_Network_for_Two-View_Correspondence_Learning_ICCV_2021_paper x-gb/T-Net/logger.py 50afa2863ffd9fde ran · our draft was wrong MIT (permissive)
arXiv:Li_Dynamic_Dual_Gating_Neural_Networks_ICCV_2021_paper lfr-0531/DGNet/utils/logger.py 093c9b30736e13f4 unverified MIT (permissive)
arXiv:136670327 stefanLeong/S2CRNet/utils/logger.py 921113cf2a16c965 unverified MIT (permissive)
arXiv:03451 zhongshsh/ASR/utils/logger.py 50afa2863ffd9fde ran · our draft was wrong 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