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batch_norm

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

batch_norm appears in the code Syntology harvested for 46 papers, as 41 distinct code bodies found in 50 places (a place is one code body under one paper). At least one of them ran in 7 of the papers; 1 of the code bodies carries 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 batch_norm 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 5 of the 41 distinct code bodies named batch_norm; 36 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
1ran
36unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 50 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

46 papers shown of 46, newest first; 50 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; 1 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
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams 16 Jul 2024 WZq975/DA-TTA/methods/datta.py fae69c4390cf3b2c unverified MIT (permissive)
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization 6 Jun 2024 salesforce/DOODL/memcnn/models/resnet.py 06864fef7f15d70b ran Apache-2.0 (permissive)
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost 9 May 2024 ethanygao/aux-nas/networks/stagewise_search_aux.py 56af5b6a5714675c ran · our draft was wrong no licence file found · pointer only
On $f$-Divergence Principled Domain Adaptation: An Improved Framework 2 Feb 2024 thuml/CDAN/tensorflow/network.py f4fba27e3fd641f2 unverified no licence file found · pointer only
Microscaling Data Formats for Deep Learning 16 Oct 2023 microsoft/microxcaling/mx/batchnorm.py d3704f66f62c1c7c unverified MIT (permissive)
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation 25 May 2023 LiyaoTang/ERDA/models/head.py 0c8f88cadeb2d45f unverified MIT (permissive)
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting 3 Apr 2023 timmhess/kaaff/avalanche/models/icarl_resnet.py 4a3907baf03af341 unverified MIT (permissive)
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning 28 Jan 2023 evalarzj/cped/cped/rlkit/torch/FlowGAN.py 63e5064b83e5bcf0 unverified no licence file found · pointer only
Periodic Graph Transformers for Crystal Material Property Prediction 23 Sep 2022 YKQ98/Matformer/matformer/models/bn_utils.py 0c77118a38ced667 unverified MIT (permissive)
Data Feedback Loops: Model-driven Amplification of Dataset Biases 8 Sep 2022 rtaori/data_feedback/image_classification/baidunet.py 98c5a9335415160f unverified Apache-2.0 (permissive)
Continual evaluation for lifelong learning: Identifying the stability gap 26 May 2022 mattdl/ContinualEvaluation/avalanche/models/icarl_resnet.py 4a3907baf03af341 unverified MIT (permissive)
RECALL: Replay-based Continual Learning in Semantic Segmentation 8 Aug 2021 LTTM/RECALL/model_resnet.py 54d981e50a6f3e0f unverified MIT (permissive)
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline 9 Jun 2021 princeton-vl/SimpleView/ScanObjectNN/SimpleView/multi_model.py 6cccb6ae78594ebb unverified BSD-3-Clause (permissive)
Avalanche: an End-to-End Library for Continual Learning 1 Apr 2021 lrzpellegrini/avalanche/avalanche/models/icarl_resnet.py 4a3907baf03af341 unverified MIT (permissive)
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction 23 Mar 2021 Andy97/DeepMLS/Octree/ocnn.py 489c5f27ae7ac730 unverified MIT (permissive)
Few-Shot Unsupervised Continual Learning through Meta-Examples 17 Sep 2020 alessiabertugli/FUSION-ME/model/layers.py 9efa468ab93d1d7a unverified Apache-2.0 (permissive)
PackIt: A Virtual Environment for Geometric Planning 21 Jul 2020 princeton-vl/PackIt/packing/packing_policy.py 7e285ec51db733b2 unverified BSD-3-Clause (permissive)
Learning to Generate Noise for Multi-Attack Robustness 22 Jun 2020 divyam3897/MNG_AC/torch_backend.py bd8c619e1c243150 unverified MIT (permissive)
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling 11 May 2020 silvandeleemput/memcnn/memcnn/models/resnet.py 06864fef7f15d70b ran MIT (permissive)
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning 31 Mar 2020 bhpfelix/MTLNAS/core/models/common_layers.py 56af5b6a5714675c ran · our draft was wrong Apache-2.0 (permissive)
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network 17 Jan 2020 clovaai/assembled-cnn/nets/model_helper.py aa9fde2ef364ebff unverified Apache-2.0 (permissive)
Local Deep Implicit Functions for 3D Shape 12 Dec 2019 google/ldif/ldif/nets/resnet_unet.py ec8af87b03f0ff20 unverified Apache-2.0 (permissive)
GMAN: A Graph Multi-Attention Network for Traffic Prediction 11 Nov 2019 zhengchuanpan/GMAN/METR/tf_utils.py 8e2329b6f957b2ce unverified Apache-2.0 (permissive)
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness 2 Jun 2019 haiphanNJIT/StoBatch/StoBatchTinyImageNet/resnet_utils.py 29e0dcee4d607b62 unverified MIT (permissive)
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules 14 May 2019 Zhiwei-Z/pba_experiment/pba/resnet.py f4fba27e3fd641f2 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Processing Megapixel Images with Deep Attention-Sampling Models 3 May 2019 sara-nl/attention-sampling-pytorch/models/feature_model.py 34df8e42b75c38a9 unverified MIT (permissive)
S4L: Self-Supervised Semi-Supervised Learning 9 May 2019 google-research/s4l/models/resnet.py 53e8aaa62b2530d2 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Learning to Adapt for Stereo 5 Apr 2019 CVLAB-Unibo/Learning2AdaptForStereo/Nets/sharedLayers.py ad1b44ffe682391b unverified Apache-2.0 (permissive)
Revisiting Self-Supervised Visual Representation Learning 25 Jan 2019 google/revisiting-self-supervised/models/resnet.py d29f9171cd72ee14 unverified Apache-2.0 (permissive)
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks 24 Dec 2018 ttbrunner/biased_boundary_attack_avc/models/resnet18_baseline/resnet_model.py f4fba27e3fd641f2 unverified MIT (permissive)
Deep Cosine Metric Learning for Person Re-Identification 2 Dec 2018 ace19-dev/mvcnn-tf/nets/resnet_model.py cfbf106c4ab1fc93 unverified Apache-2.0 (permissive)
Deep Multi-Agent Reinforcement Learning with Relevance Graphs 30 Nov 2018 tegg89/magnet/models/action_execution/actor_critic_nn.py 930b524d6b021ed1 unverified Apache-2.0 (permissive)
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping 16 Nov 2018 google-research/tensor2robot/layers/film_resnet_model.py a2e9e959b8fc2e23 unverified Apache-2.0 (permissive)
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations 13 Sep 2018 AleksBanbur/EE8204---Real-Time-Multi-Task-Learning/model.py b0c7a956ef5db771 ran · our draft was wrong no licence file found · pointer only
Efficient Neural Architecture Search via Parameter Sharing 9 Feb 2018 kaileymonn/Quantized-ENAS-ConvNets/micro_child.py 5b9ee0a559cb458e unverified no licence file found · pointer only
Wasserstein Auto-Encoders 5 Nov 2017 tolstikhin/wae/ops.py 59dcf2e829d98bff unverified BSD-3-Clause (permissive)
Harmonic Networks: Deep Translation and Rotation Equivariance 14 Dec 2016 deworrall92/harmonicConvolutions/harmonic_network_lite.py 7723edaa5a84d58f unverified MIT (permissive)
Image-to-Image Translation with Conditional Adversarial Networks 21 Nov 2016 cianfrocco-lab/GAN-for-Cryo-EM-image-denoising/utils.py 2ba128a686890be9 unverified MIT (permissive)
Unsupervised Cross-Domain Image Generation 7 Nov 2016 kaonashi-tyc/zi2zi/model/ops.py b9f34d6c4b16e50c unverified Apache-2.0 (permissive)
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation 26 Sep 2016 Liut2016/stackedResBiLSTM/lstm_architecture.py a30358b17cf7f25f unverified Apache-2.0 (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 AyushAniket/ResNET-and-various-normalizations/train_cifar.py 0dfc2174f6cda36c ran · our draft was wrong fingerprinted no licence file found · pointer only
Deep Residual Learning for Image Recognition 10 Dec 2015 aby2s/sharpmask/resnet_model.py f4fba27e3fd641f2 unverified Apache-2.0 (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 rickyHong/tfRecord-Caltech256-repl2/model.py de357558f43b64b9 unverified MIT (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 adityabingi/DCGAN-TF2.0/dcgan.py d191ed1fb184feb4 ran · our draft was wrong MIT (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 XiafeiYu/DCGAN/model.py 8093e8b49adc7552 unverified no licence file found · pointer only
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding 9 Nov 2015 hosshonarvar/Image-Segmentation/others_code/layers_object.py 5d5ab2d2e269268e unverified MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 MLCS-Yonsei/ddpg-control/ddpg.py 7484fd6def5722c7 unverified MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 tegg89/DLCamp_Jeju2018/models/action_execution/actor_critic_nn.py 930b524d6b021ed1 unverified Apache-2.0 (permissive)
Very Deep Convolutional Networks for Large-Scale Image Recognition 4 Sep 2014 kaist-dmlab/SELFIE/SELFIE/network/VGG/utils.py 2cfdfda586c04669 unverified MIT (permissive)
arXiv:aaai_16474 CQUlearningsystemgroup/BitwiseBottleneck/resnet_model.py cfbf106c4ab1fc93 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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