Data Augmentation

Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning NeurIPS 2023 Findings of the WMT 2023 Shared Task on Parallel Data Curation EMNLP 2023 Fine-Grained Classification With Noisy Labels CVPR 2023 FMI-SU at SemEval-2023 Task 7: Two-level Entailment Classification of Clinical Trials Enhanced by Contextual Data Augmentation SemEval 2023 Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment AAAI 2023 FouriDown: Factoring Down-Sampling into Shuffling and Superposing NeurIPS 2023 FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models NeurIPS 2023 Frequency Balanced Datasets Lead to Better Language Models EMNLP 2023 Frequency Domain-Based Dataset Distillation NeurIPS 2023 Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications NeurIPS 2023 GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks ICML 2023 GBT: Generative Boosting Training Approach for Paraphrase Identification EMNLP 2023 GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks ACL 2023 GDA: Grammar-based Data Augmentation for Text Classification using Slot Information EMNLP 2023 GenAug: Retargeting behaviors to unseen situations via Generative Augmentation RSS 2023 Gender-Inclusive Grammatical Error Correction through Augmentation ACL 2023 General Covariance Data Augmentation for Neural PDE Solvers ICML 2023 Generating Commonsense Counterfactuals for Stable Relation Extraction EMNLP 2023 Generating Data for Symbolic Language with Large Language Models EMNLP 2023 Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training ACL 2023 Generating Synthetic Speech from SpokenVocab for Speech Translation EACL 2023 Generation-Based Data Augmentation for Offensive Language Detection: Is It Worth It? EACL 2023 Generative Data Augmentation for Aspect Sentiment Quad Prediction ACL 2023 Generative Modeling Helps Weak Supervision (and Vice Versa) ICLR 2023 Generative Oversampling for Imbalanced Data via Majority-Guided VAE AISTATS 2023