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Data Augmentation

429 directly classified papers

Papers per year

Papers

KCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling EMNLP 2025
Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution ACL 2025
Navigating Towards Fairness with Data Selection AAAI 2025
Deep Learning on Graphs: A Data-Centric Exploration AAAI 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NIPS 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models NIPS 2024
SSN-Nova@LT-EDI 2024: POS Tagging, Boosting Techniques and Voting Classifiers for Caste And Migration Hate Speech Detection EACL 2024
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise AAAI 2024
ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs EACL 2024
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation AAAI 2024
REDUCR: Robust Data Downsampling using Class Priority Reweighting NIPS 2024
Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation AAAI 2024
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution AAAI 2024
Exploring the impact of noise in low-resource ASR for Tamil EACL 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters NIPS 2024
Mixup-Induced Domain Extrapolation for Domain Generalization AAAI 2024
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation NIPS 2024
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NIPS 2024
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation AAAI 2024
Defending Object Detection Models Against Image Distortions WACV 2024
Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole Slide Images Classification Learning WACV 2024
Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning NIPS 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control NIPS 2024
CrashCar101: Procedural Generation for Damage Assessment WACV 2024
Data Augmentation for Object Detection via Controllable Diffusion Models WACV 2024