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Data Augmentation

3,720 papers

Papers per year

7
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562
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Papers

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner AAAI 2025
GNN-Transformer Task Planning Enhanced with Semantic-Driven Data Augmentation AAAI 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning AAAI 2025
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation AAAI 2025
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class AAAI 2025
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck AAAI 2025
Who’s the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration AAAI 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning AAAI 2025
Data Augmentation for Instruction Following Policies via Trajectory Segmentation AAAI 2025
Read, Watch and Scream! Sound Generation from Text and Video AAAI 2025
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers AAAI 2025
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation AAAI 2025
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness 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
Detecting and Corrupting Convolution-based Unlearnable Examples AAAI 2025
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification AAAI 2025
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning AAAI 2025
Iterative Counterfactual Data Augmentation AAAI 2025
Enhancing Masked Time-Series Modeling via Dropping Patches AAAI 2025
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning AAAI 2025
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications AAAI 2025
Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation AAAI 2025
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection AAAI 2025
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset AAAI 2025