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

CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning ICLR 2024 CEAN: Contrastive Event Aggregation Network with LLM-based Augmentation for Event Extraction EACL 2024 ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs EACL 2024 Claim-Centric and Sentiment Guided Graph Attention Network for Rumour Detection COLING 2024 ClaimLens: Automated, Explainable Fact-Checking on Voting Claims Using Frame-Semantics EMNLP 2024 Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR 2024 CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts NeurIPS 2024 CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP NAACL 2024 CodeFort: Robust Training for Code Generation Models EMNLP 2024 Code-Mixed Text Augmentation for Latvian ASR COLING 2024 Code Needs Comments: Enhancing Code LLMs with Comment Augmentation ACL 2024 Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation AAAI 2024 Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification AAAI 2024 Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems ACL 2024 Compilation of a Synthetic Judeo-French Corpus EACL 2024 Complex question generation using discourse-based data augmentation EACL 2024 Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach AAAI 2024 Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation ICML 2024 Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data NeurIPS 2024 Consistency Regularization for Domain Generalization with Logit Attribution Matching UAI 2024 Consistency Training by Synthetic Question Generation for Conversational Question Answering ACL 2024 Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision ICLR 2024 Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation ACL 2024 Controllable Paraphrase Generation for Semantic and Lexical Similarities COLING 2024 ControlMath: Controllable Data Generation Promotes Math Generalist Models EMNLP 2024