data augmentation

Into the Unknown: Generating Geospatial Descriptions for New Environments ACL 2024 IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NeurIPS 2024 INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer ICML 2024 I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024 Is a Large Language Model a Good Annotator for Event Extraction? AAAI 2024 IUST at ClimateActivism 2024: Towards Optimal Stance Detection: A Systematic Study of Architectural Choices and Data Cleaning Techniques EACL 2024 JobSkape: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching EACL 2024 Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem NeurIPS 2024 KGAST: From Knowledge Graphs to Annotated Synthetic Texts ACL 2024 KidLM: Advancing Language Models for Children – Early Insights and Future Directions EMNLP 2024 Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning ICLR 2024 KUL@SMM4H2024: Optimizing Text Classification with Quality-Assured Augmentation Strategies ACL 2024 Label Augmentation As Inter-Class Data Augmentation for Conditional Image Synthesis With Imbalanced Data WACV 2024 LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation EMNLP 2024 LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training AAAI 2024 Language Model Priors and Data Augmentation Strategies for Low-resource Machine Translation: A Case Study Using Finnish to Northern Sámi ACL 2024 Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition ACL 2024 LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification COLING 2024 Lean Workbook: A large-scale Lean problem set formalized from natural language math problems NeurIPS 2024 Learning from Wrong Predictions in Low-Resource Neural Machine Translation COLING 2024 Learning High-Quality and General-Purpose Phrase Representations EACL 2024 Learning Only When It Matters: Cost-Aware Long-Tailed Classification AAAI 2024 Learning Polynomial Problems with SL(2, R)-Equivariance ICLR 2024 Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation WACV 2024 Learning To Generate Training Datasets for Robust Semantic Segmentation WACV 2024