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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
A Training-free Synthetic Data Selection Method for Semantic Segmentation
AAAI 2025
Target Scanpath-Guided 360-Degree Image Enhancement
AAAI 2025
TdAttenMix: Top-Down Attention Guided Mixup
AAAI 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
AAAI 2025
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
AAAI 2025
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
AAAI 2025
Smart Motor: A Low-Cost Hardware and Software Toolkit for Introducing Supervised Machine Learning to Elementary School Students
AAAI 2025
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
CVPR 2025
Advancing Medical Multimodal Learning and Data Generation with Diffusion Model and LLM
AAAI 2025
MeshGen: Generating PBR Textured Mesh with Render-Enhanced Auto-Encoder and Generative Data Augmentation
CVPR 2025
ViUniT: Visual Unit Tests for More Robust Visual Programming
CVPR 2025
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
AAAI 2025
Iterative Counterfactual Data Augmentation
AAAI 2025
Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation
AAAI 2025
Data Augmentation for Instruction Following Policies via Trajectory Segmentation
AAAI 2025
Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning
AAAI 2025
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning
AAAI 2025
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives
EMNLP 2024
Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis
ACL 2024
Improving Grammatical Error Correction via Contextual Data Augmentation
ACL 2024
Deterministic Reversible Data Augmentation for Neural Machine Translation
ACL 2024
TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles
ACL 2024
Frozen Feature Augmentation for Few-Shot Image Classification
CVPR 2024
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
ACL 2024
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
ACL 2024
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