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Machine Learning
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Data Augmentation
3622 directly classified papers
Papers per year
2002: 2
2006: 1
2008: 2
2009: 1
2011: 3
2012: 3
2013: 9
2014: 8
2015: 7
2016: 35
2017: 45
2018: 108
2019: 239
2020: 329
2021: 477
2022: 518
2023: 607
2024: 561
2025: 546
2026: 121
Papers
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
CVPR 2021
StyleMix: Separating Content and Style for Enhanced Data Augmentation
CVPR 2021
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation
CVPR 2021
Semantic Palette: Guiding Scene Generation With Class Proportions
CVPR 2021
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation
CVPR 2021
The Online Pivot: Lessons Learned from Teaching a Text and Data Mining Course in Lockdown, Enhancing online Teaching with Pair Programming and Digital Badges
NAACL 2021
UoB at ProfNER 2021: Data Augmentation for Classification Using Machine Translation
NAACL 2021
IMAGINE: Image Synthesis by Image-Guided Model Inversion
CVPR 2021
Composing Photos Like a Photographer
CVPR 2021
Regularizing Generative Adversarial Networks Under Limited Data
CVPR 2021
ReMix: Towards Image-to-Image Translation With Limited Data
CVPR 2021
Adaptive Data Augmentation on Temporal Graphs
NIPS 2021
Grounding inductive biases in natural images: invariance stems from variations in data
NIPS 2021
Explanation-based Data Augmentation for Image Classification
NIPS 2021
Learning Debiased Representation via Disentangled Feature Augmentation
NIPS 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
NIPS 2021
LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approach
NAACL 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
NIPS 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
NIPS 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
ICML 2021
Selecting Data Augmentation for Simulating Interventions
ICML 2021
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
ICML 2021
When Does Data Augmentation Help With Membership Inference Attacks?
ICML 2021
Robustness Testing of Language Understanding in Task-Oriented Dialog
IJCNLP 2021
Data Augmentation for Text Generation Without Any Augmented Data
IJCNLP 2021
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