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Data Augmentation

3622 directly classified papers

Papers per year

Papers

SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis AAAI 2025
Low-Biased General Annotated Dataset Generation CVPR 2025
VisionArena: 230k Real World User-VLM Conversations with Preference Labels CVPR 2025
OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation CVPR 2025
InstanceCap: Improving Text-to-Video Generation via Instance-aware Structured Caption CVPR 2025
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification CVPR 2025
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generationf CVPR 2025
Explicit Relational Reasoning Network for Scene Text Detection AAAI 2025
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts AAAI 2025
Generative Hard Example Augmentation for Semantic Point Cloud Segmentation CVPR 2025
UB_Tel-U at SemEval-2025 Task 11: Emotions Without Borders - A Unified Framework for Multilingual Classification Using Augmentation and Ensemble ACL 2025
Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions AAAI 2025
Topology-Aware Gated Graph Neural Network for Social Bot Detection AACL 2025
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control AAAI 2025
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language CVPR 2025
Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation AAAI 2025
Who’s the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration AAAI 2025
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class AAAI 2025
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data AAAI 2025
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation AAAI 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning AAAI 2025
GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection EMNLP 2025