data augmentation

Image and Text: Fighting the same Battle? Super Resolution Learning for Imbalanced Text Classification EMNLP 2023 ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations ICLR 2023 Importance of Synthesizing High-quality Data for Text-to-SQL Parsing ACL 2023 Improving Code-Switching and Name Entity Recognition in ASR with Speech Editing based Data Augmentation Interspeech 2023 Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles CVPR 2023 Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation EMNLP 2023 Improving Crowded Object Detection via Copy-Paste AAAI 2023 Improving Diversity With Adversarially Learned Transformations for Domain Generalization WACV 2023 Improving Dutch Vaccine Hesitancy Monitoring via Multi-Label Data Augmentation with GPT-3.5 ACL 2023 Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors ICCV 2023 Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation ICCV 2023 Improving Low-resource Named Entity Recognition with Graph Propagated Data Augmentation ACL 2023 Improving Low-resource Question Answering by Augmenting Question Information EMNLP 2023 Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies ACL 2023 Improving multimodal datasets with image captioning NeurIPS 2023 Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank ACL 2023 Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation CVPR 2023 Improving the Robustness of Summarization Systems with Dual Augmentation ACL 2023 Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023 Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions ACL 2023 Information Transfer in Multitask Learning, Data Augmentation, and Beyond AAAI 2023 Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting AAAI 2023 Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation CVPR 2023 Integrating Prior Knowledge in Contrastive Learning with Kernel ICML 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023