Data Augmentation

Team:PULSAR at ProbSum 2023:PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients’ Problems and Data Augmentation with Black-box Large Language Models ACL 2023 Team_Syrax at BLP-2023 Task 1: Data Augmentation and Ensemble Based Approach for Violence Inciting Text Detection in Bangla EMNLP 2023 Template-guided Grammatical Error Feedback Comment Generation EACL 2023 Test-time Augmentation for Factual Probing EMNLP 2023 Text Augmentation Using Dataset Reconstruction for Low-Resource Classification ACL 2023 TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation ICCV 2023 Text Style Transfer Back-Translation ACL 2023 TFAN: Temporal-Feature correlations Attention-based Network for Urban Air Quality Prediction using Data Fusion technology ACML 2023 The Benefits of Mixup for Feature Learning ICML 2023 The Curious Case of Benign Memorization ICLR 2023 The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only NeurIPS 2023 The Risk and Opportunity of Data Augmentation and Translation for ESG News Impact Identification with Language Models AACL 2023 The RST Continuity Corpus ACL 2023 Tied-Augment: Controlling Representation Similarity Improves Data Augmentation ICML 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection Using XLM-T, Google Translate, and Ensemble Learning SemEval 2023 Token-Label Alignment for Vision Transformers ICCV 2023 Topology-Guided Multi-Class Cell Context Generation for Digital Pathology CVPR 2023 Towards Addressing Label Skews in One-Shot Federated Learning ICLR 2023 Towards Better Hierarchical Text Classification with Data Generation ACL 2023 Towards Controlled Data Augmentations for Active Learning ICML 2023 Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks ACL 2023 Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer IJCAI 2023 Towards Understanding and Reducing Graph Structural Noise for GNNs ICML 2023 Toward Understanding Generative Data Augmentation NeurIPS 2023