Data Augmentation

A Survey on Dataset Distillation: Approaches, Applications and Future Directions IJCAI 2023 Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling AAAI 2023 AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation ACL 2023 Augmentation-Aware Self-Supervision for Data-Efficient GAN Training NeurIPS 2023 Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier WACV 2023 Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation ICLR 2023 Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health ACL 2023 Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings ACML 2023 AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets ACL 2023 A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks ACL 2023 Automated Data Augmentations for Graph Classification ICLR 2023 Automatic Data Augmentation via Invariance-Constrained Learning ICML 2023 Automatic Exploration of Optimal Data Processing Operations for Sound Data Augmentation Using Improved Differentiable Automatic Data Augmentation Interspeech 2023 Automatic Transcription of Handwritten Old Occitan Language EMNLP 2023 AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration ICCV 2023 Background Domain Switch: A Novel Data Augmentation Technique for Robust Sound Event Detection Interspeech 2023 Background-Mixed Augmentation for Weakly Supervised Change Detection AAAI 2023 Back-Modality: Leveraging Modal Transformation for Data Augmentation NeurIPS 2023 Balancing the Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer ACL 2023 BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis EMNLP 2023 Benchmarking Robustness to Adversarial Image Obfuscations NeurIPS 2023 BERT Goes Off-Topic: Investigating the Domain Transfer Challenge using Genre Classification EMNLP 2023 Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification ICCV 2023 Better Practices for Domain Adaptation AutoML 2023 Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense NeurIPS 2023