arXiv cs.AI· Jesper B. Christensen, Ciaran Bench, Spencer A. Thomas, H\"usn\"u Aslan, David Balslev-Harder, Nadia A. S. Smith, Alessandra Manzin·· 3 小时前AI 评分30
Ctrl-A：基于自适应在线数据增强的控制驱动机器学习
Ctrl-A: Control-Driven Machine Learning using Adaptive Online Data Augmentation
AI 导读
arXiv 论文提出 Ctrl-A，一种面向图像任务、融合控制理论的数据增强算法，可在训练过程中在线调节各增强操作的强度分布，无需手工初始化或设计增强策略。其基于闭环控制架构和相对操作响应曲线逐个自适应更新增强强度，从而减少损害模型性能的操作。
正文 · 原文
Abstract:We introduce ControlAugment (Ctrl-A), an automated data augmentation algorithm for image-vision tasks, which incorporates principles from control theory for online adjustment of augmentation strength distributions during model training. Ctrl-A eliminates the need for initialization of individual augmentation strengths. Instead, augmentation strength distributions are dynamically, and individually, adapted during training based on a control-loop architecture and what we define as relative operation response curves. Using an operation-dependent update procedure provides Ctrl-A with the potential to reduce the use of augmentation operations that negatively impact model performance, alleviating the need to manually engineer augmentation policies for new image classification tasks. Experiments on the CIFAR-10, CIFAR-100, SVHN-core, and Tiny ImageNet benchmark datasets using WideResNet-28-10 and ResNet architectures demonstrate that Ctrl-A provides competitive performance across a range of image classification benchmarks.
| Comments: | 19 pages (13 pages main manuscript), 12 figures (9 in main manuscript). v2 note: Title slightly changed to make it less generic/more descriptive. Experimental section overhauled to demonstrate and exemplify closed-loop control mechanism, experiment with Tiny ImageNet added |
| Subjects: | Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Systems and Control (eess.SY) |
| Cite as: | arXiv:2603.21819 [cs.CV] |
| (or arXiv:2603.21819v2 [cs.CV] for this version) | |
| https://doi.org/10.48550/arXiv.2603.21819 arXiv-issued DOI via DataCite |
Submission history
From: Jesper Christensen Dr [view email]
[v1]
Mon, 23 Mar 2026 11:03:02 UTC (1,533 KB)
[v2]
Mon, 26 Oct 2026 19:00:01 UTC (2,043 KB)
来源：arXiv cs.AI · arxiv.org