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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023
PartMix: Regularization Strategy To Learn Part Discovery for Visible-Infrared Person Re-Identification CVPR 2023
Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation WACV 2023
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank ACL 2023
RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images With Diverse Sizes and Imbalanced Categories CVPR 2023
Gender-Inclusive Grammatical Error Correction through Augmentation ACL 2023
Infinite Photorealistic Worlds Using Procedural Generation CVPR 2023
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation AAAI 2023
Enhancing Arabic Machine Translation for E-commerce Product Information: Data Quality Challenges and Innovative Selection Approaches EMNLP 2023
How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval EMNLP 2023
PlayGround Low Resource Machine Translation System for the 2023 AmericasNLP Shared Task ACL 2023
VBD_NLP at SemEval-2023 Task 2: Named Entity Recognition Systems Enhanced by BabelNet and Wikipedia SEMEVAL 2023
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence AAAI 2023
Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection CVPR 2023
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data AAAI 2023
Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023
STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations AAAI 2023
Disfluency Generation for More Robust Dialogue Systems ACL 2023
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling AAAI 2023
Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract) AAAI 2023
Ask Language Model to Clean Your Noisy Translation Data EMNLP 2023
GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps AAAI 2023
Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels IJCAI 2023
ChaPat at SemEval-2023 Task 9: Text Intimacy Analysis using Ensembles of Multilingual Transformers SEMEVAL 2023
Controlled Data Augmentation for Training Task-Oriented Dialog Systems with Low Resource Data EMNLP 2023