conftrace_

data augmentation

3,121 papers

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Also known as

DA

Co-occurring keywords · papers mentioning both

text classification (291) large language model (225) transfer learning (160) image classification (150) representation learning (144) contrastive learning (141) domain adaptation (139) few-shot learning (138) semi-supervised learning (132) self-supervised learning (131)

Papers

LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation ACL 2024 Let's do the time-warp-attend: Learning topological invariants of dynamical systems ICLR 2024 Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study EACL 2024 Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis EMNLP 2024 Leveraging Pre-existing Resources for Data-Efficient Counter-Narrative Generation in Korean COLING 2024 Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation ACL 2024 Leveraging Synthetic Data To Learn Video Stabilization Under Adverse Conditions WACV 2024 Leveraging the Power of Data Augmentation for Transformer-Based Tracking WACV 2024 Limitations of Face Image Generation AAAI 2024 LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement ACL 2024 LLM-Assisted Code Cleaning For Training Accurate Code Generators ICLR 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NeurIPS 2024 LLM-based MT Data Creation: Dialectal to MSA Translation Shared Task COLING 2024 LLM-Based Synthetic Datasets: Applications and Limitations in Toxicity Detection COLING 2024 LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study EMNLP 2024 LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification EMNLP 2024 Logarithmic Lenses: Exploring Log RGB Data for Image Classification CVPR 2024 Loneliness Episodes: A Japanese Dataset for Loneliness Detection and Analysis ACL 2024 Looking within the self: Investigating the Impact of Data Augmentation with Self-training on Automatic Speech Recognition for Hupa EACL 2024 Low-Complexity Acoustic Scene Classification Using Parallel Attention-Convolution Network Interspeech 2024 Low-resource neural machine translation with morphological modeling NAACL 2024 Low-Resource Vision Challenges for Foundation Models CVPR 2024 LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content CVPR 2024 Making LLMs as Fine-Grained Relation Extraction Data Augmentor IJCAI 2024 MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection SemEval 2024