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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Augmentation-invariant Learning Strategy via Data Augmentation for Improving Model Generalization AAAI 2026

Generating-Filtering-Ranking: A Three-Stage MultiModal Data Augmentation Framework Under Partial Modality Missing AAAI 2026

CHIMERA: Controllable High-quality Image-Mask Extraction for Reliable Diffusion-based Anomaly Synthesis AAAI 2026

Flora: Effortless Context Construction to Arbitrary Length and Scale AAAI 2026

Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method AAAI 2026

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation AAAI 2026

Panda: Test-Time Adaptation with Negative Data Augmentation AAAI 2026

AdaField: Generalizable Surface Pressure Modeling with Physics-Informed Pre-training and Flow-Conditioned Adaptation AAAI 2026

PASA: Progressive-Adaptive Spectral Augmentation for Automated Auscultation in Data-Scarce Environments AAAI 2026

Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model AAAI 2026

ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation AAAI 2026

ImageNet-sES: A First Systematic Study of Sensor-Environment Simulation Anchored by Real Recaptures WACV 2026

Frequency Is What You Need: Considering Word Frequency When Text Masking Benefits Vision-Language Model Pre-training WACV 2026

Learning More from Less: Resource-Constrained Generative AI for Classification, Generation, and Personalization AAAI 2026

Generative AI-Driven Data Transformation for Enhanced Machine Learning Performance (Student Abstract) AAAI 2026

Diffusion Noise Optimization for Synthetic VLM Training WACV 2026

ASC: Learning Augmentation Severity-Consistent Representations Improves Generalization via Augmentation Search WACV 2026

HLPD: Aligning LLMs to Human Language Preference for Machine-Revised Text Detection AAAI 2026

FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction AAAI 2026

Learning from Reasoning Failures via Synthetic Data Generation AAAI 2026

Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement AAAI 2026

HAP: Harmonized Amplitude Perturbation for Cross-Domain Few-Shot Learning AAAI 2026

Guideline-Consistent Segmentation via Multi-Agent Refinement AAAI 2026

CEC-Zero: Zero-Supervision Character Error Correction with Self-Generated Rewards AAAI 2026

Improving Indigenous Language Machine Translation with Synthetic Data and Language-Specific Preprocessing EACL 2026