{"total":18,"rows":[{"id":"2403.10834","title":"SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation","created":"2024-03-16","cited_by_count":19,"area":null},{"id":"2209.15031","title":"Automatic Data Augmentation via Invariance-Constrained Learning","created":"2022-09-29","cited_by_count":17,"area":null},{"id":"2206.00051","title":"Learning Instance-Specific Augmentations by Capturing Local Invariances","created":"2022-05-31","cited_by_count":15,"area":null},{"id":"2403.11395","title":"Automated data processing and feature engineering for deep learning and big data applications: a survey","created":"2024-03-18","cited_by_count":14,"area":null},{"id":"2309.04747","title":"When to Learn What: Model-Adaptive Data Augmentation Curriculum","created":"2023-09-09","cited_by_count":13,"area":null},{"id":"2401.01764","title":"Understanding the Detrimental Class-level Effects of Data Augmentation","created":"2023-12-07","cited_by_count":13,"area":null},{"id":"2212.10553","title":"RangeAugment: Efficient Online Augmentation with Range Learning","created":"2022-12-20","cited_by_count":8,"area":null},{"id":"2405.00319","title":"Data Augmentation Policy Search for Long-Term Forecasting","created":"2024-05-01","cited_by_count":5,"area":null},{"id":"2302.11412","title":"Data Augmentation for Neural NLP","created":"2023-02-22","cited_by_count":2,"area":null},{"id":"2305.02668","title":"LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation","created":"2023-05-04","cited_by_count":1,"area":null},{"id":"2309.06747","title":"Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection","created":"2023-09-13","cited_by_count":1,"area":null},{"id":"2403.08352","title":"Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods","created":"2024-03-13","cited_by_count":1,"area":null},{"id":"2505.21813","title":"Optimizing Data Augmentation through Bayesian Model Selection","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2601.10836","title":"One Model, Many Behaviors: Training-Induced Effects on Out-of-Distribution Detection","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2212.04875","title":"Expeditious Saliency-guided Mix-up through Random Gradient Thresholding","created":"2022-12-09","cited_by_count":0,"area":null},{"id":"2306.05107","title":"Unsupervised augmentation optimization for few-shot medical image segmentation","created":"2023-06-08","cited_by_count":0,"area":null},{"id":"2402.11566","title":"Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training","created":"2024-02-18","cited_by_count":0,"area":null},{"id":"2603.21819","title":"Ctrl-A: Control-Driven Online Data Augmentation","created":"2026-03-23","cited_by_count":0,"area":null}],"next_cursor":null}