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lr_schedule

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

lr_schedule appears in the code Syntology harvested for 30 papers, as 25 distinct code bodies found in 33 places (a place is one code body under one paper). At least one of them ran in 19 of the papers; 12 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 lr_schedule 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 14 of the 25 distinct code bodies named lr_schedule; 11 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

11ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
2ran
11unverified
12fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 33 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

30 papers shown of 30, newest first; 33 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. 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
EdgeFlowerTune: Evaluating Federated LLM Fine-Tuning Under Realistic Edge System Constraints added by Syntology 2026-05 (from id) Edge-Intelligence-Lab/EdgeFlowerTune/standalone/pytorch_alignment/gpt2_full_finetune.py 2b364c7f42df4bd8 ran no licence file found · pointer only
Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-tuning 14 Mar 2025 alewarne/MachineUnlearning/Unlearner/DNNUnlearner.py 188b8fe064496487 ran · honoured contract fingerprinted MIT (permissive)
Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions 2023-11 (from id) fucheng-zhong/gasnet-ii/GaSNet_MC_model.py 92d1041c4ebc1807 ran fingerprinted no licence file found · pointer only
Stratified Adversarial Robustness with Rejection 2 May 2023 jfc43/stratified-adv-rej/train_at.py a480fc5a71521b3f ran · honoured contract fingerprinted Apache-2.0 (permissive)
Moving Frame Net: SE(3)-Equivariant Network for Volumes 7 Nov 2022 mateussangalli/movingframenetwork/medmnist_train_movfr.py 5189969c5c93d008 unverified MIT (permissive)
Machine Unlearning of Features and Labels 26 Aug 2021 alewarne/machineunlearning/Unlearner/DNNUnlearner.py 188b8fe064496487 ran · honoured contract fingerprinted MIT (permissive)
Randomness In Neural Network Training: Characterizing The Impact of Tooling 22 Jun 2021 usyd-fsalab/NeuralNetworkRandomness/src/training_script/smallcnn.py 9f3fb2653030c316 unverified MIT (permissive)
Probabilistic Mapping of Dark Matter by Neural Score Matching 2020-11 (from id) cosmostat/jax-lensing/scripts/train_deepmass.py 8c8d53d3d1619e9f unverified MIT (permissive)
Smoothed Geometry for Robust Attribution 11 Jun 2020 zifanw/smoothed_geometry/models/keras_model.py 67e18e3fdd805d03 ran · honoured contract fingerprinted MIT (permissive)
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image 2 Apr 2020 paschalidoud/hierarchical_primitives/scripts/train_network.py 2137962bf83873a0 ran · our draft was wrong MIT (permissive)
Graph Neural Ordinary Differential Equations 18 Nov 2019 caidao22/pnode/examples-pnode/models/sqnxt_PETSc.py 2003406c1040031b unverified MIT (permissive)
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification 17 Oct 2019 mvaldenegro/paper-subensembles-image-classification/ResNet.py bf394bbbc12e9f8a ran · honoured contract fingerprinted BSD-3-Clause (permissive)
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks 18 Sep 2019 softsys4ai/neural-distiller/src/models/generate_resnet.py 67e18e3fdd805d03 ran · honoured contract fingerprinted MIT (permissive)
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks 18 Aug 2019 identical code first harvested elsewhere 67e18e3fdd805d03 ran · honoured contract fingerprinted licence of this copy not recorded
Sparse Networks from Scratch: Faster Training without Losing Performance 10 Jul 2019 google-research/rigl/rigl/imagenet_resnet/imagenet_train_eval.py a760cb9df1b030d1 unverified Apache-2.0 (permissive)
Neural ODEs as the Deep Limit of ResNets with constant weights 28 Jun 2019 BennyAvelin/DeepLimitNeuralODE/Annulus_crossval.py fbb44bf5d58a7062 ran · honoured contract fingerprinted GPL-3.0 (copyleft) · pointer only
Neural ODEs as the Deep Limit of ResNets with constant weights 28 Jun 2019 BennyAvelin/DeepLimitNeuralODE/Cifar10_crossval.py e8e37a5dfe0ab695 ran · honoured contract fingerprinted GPL-3.0 (copyleft) · pointer only
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels 13 May 2019 identical code first harvested elsewhere fde7eb75fcfa9d2b ran · honoured contract fingerprinted licence of this copy not recorded
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs 27 Feb 2019 amirgholami/anode/models/resnet.py 2003406c1040031b unverified MIT (permissive)
Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks 25 Feb 2019 baidu-research/GPN/model/utils.py 97030ff0abd7504d unverified Apache-2.0 (permissive)
Improving Adversarial Robustness via Promoting Ensemble Diversity 25 Jan 2019 P2333/Adaptive-Diversity-Promoting/train_mnist.py f7006699b75166f2 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Improving Adversarial Robustness via Promoting Ensemble Diversity 25 Jan 2019 P2333/Adaptive-Diversity-Promoting/advtrain_cifar10.py 3b81eea765d67184 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Uncertainty in Neural Networks: Approximately Bayesian Ensembling 12 Oct 2018 TeaPearce/Bayesian_NN_Ensembles/classification/2d_class_need_03.py 626f3d6baf7dc55b unverified MIT (permissive)
CBAM: Convolutional Block Attention Module 17 Jul 2018 kobiso/CBAM-keras/utils.py 67e18e3fdd805d03 ran · honoured contract fingerprinted MIT (permissive)
Understanding disentangling in $β$-VAE 10 Apr 2018 adityabingi/Beta-VAE/vae.py 2dbc820f27054078 ran · honoured contract fingerprinted MIT (permissive)
Datasheets for Datasets 23 Mar 2018 OlafenwaMoses/IdenProf/idenprof.py a58fe9d476887c88 unverified MIT (permissive)
Learning from Between-class Examples for Deep Sound Recognition 28 Nov 2017 HaoranREN/EnvNet_v1_v2_TensorFlow_Keras/EnvNet_v2.py 27341ddedfdb004b ran · honoured contract fingerprinted no licence file found · pointer only
Tutorial on Variational Autoencoders 19 Jun 2016 identical code first harvested elsewhere 2dbc820f27054078 ran · honoured contract fingerprinted licence of this copy not recorded
Matching Networks for One Shot Learning 13 Jun 2016 KamalM8/Few-Shot-learning-Fashion/experiments/proto_nets.py c7b885cfa7d6a165 unverified MIT (permissive)
Identity Mappings in Deep Residual Networks 16 Mar 2016 Jeongyun-Lee-0423/Classification/cifar10_resnet.py 67e18e3fdd805d03 ran · honoured contract fingerprinted no licence file found · pointer only
Adding Gradient Noise Improves Learning for Very Deep Networks 21 Nov 2015 sunk/qneurons/runqact.py fde7eb75fcfa9d2b ran · honoured contract fingerprinted no licence file found · pointer only
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation 2 Nov 2015 zhuotongchen/self-healing-robust-neural-networks-via-closed-loop-control/control_functions.py d2d560d2c8feddab 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/train_models.py be1229f36bea96c7 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".

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