Methods › General › Regularization › Auxiliary Batch Normalization

Auxiliary Batch Normalization

12 papers tagged archive 2025-07-28

Introduced by Cihang Xie et al. in Adversarial Examples Improve Image Recognition

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Auxiliary Batch Normalization is a type of regularization used in adversarial training schemes. The idea is that adversarial examples should have a separate batch normalization components to the clean examples, as they have different underlying statistics.

Paper Source See Code · rwightman/pytorch-image-models

Papers archive 2025-07-28

12 shown of 12, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples
23 Aug 2024 · 0 repositories · arXiv:2408.13341
EntProp: High Entropy Propagation for Improving Accuracy and Robustness
29 May 2024 · 0 repositories · arXiv:2405.18931
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images
4 Dec 2023 · 0 repositories · arXiv:2312.02253
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain
28 Feb 2023 · 0 repositories · arXiv:2302.14302
Easy Batch Normalization
18 Jul 2022 · 0 repositories · arXiv:2207.08940
How explainable are adversarially-robust CNNs?
25 May 2022 · 0 repositories · arXiv:2205.13042
Fast AdvProp
21 Apr 2022 · 1 repository · arXiv:2204.09838

Syntology ran 4 of 4 samples · 0 unverified
Pyramid Adversarial Training Improves ViT Performance
30 Nov 2021 · 1 repository · arXiv:2111.15121
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation
21 Sep 2021 · 0 repositories · arXiv:2109.10161
ALFA: Adversarial Feature Augmentation for Enhanced Image Recognition
1 Jan 2021 · 0 repositories
Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery
2 Dec 2020 · 1 repository · arXiv:2012.01981
Adversarial Examples Improve Image Recognition
21 Nov 2019 · 6 repositories · arXiv:1911.09665

Syntology ran 2 of 2 samples · 0 unverified

Tasks archive 2025-07-28

20 shown of 22 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
Data Augmentation	5
Domain Generalization	3
Image Classification	2
Adversarial Attack	1
BIG-bench Machine Learning	1
Diversity	1
Domain Adaptation	1
Drug Discovery	1
Feature Importance	1
Image Generation	1
Meta-Learning	1
Molecular Property Prediction	1
Object Detection	1
Object Recognition	1
Point Cloud Classification	1
Point Cloud Completion	1
Property Prediction	1
Speaker Verification	1
Text to Image Generation	1
Text-to-Image Generation	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (12 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Regularization

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