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Data Augmentation

3,648 papers

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Papers

Improving aggressiveness detection using a data augmentation technique based on a Diffusion Language Model NAACL 2024 Improving child speech recognition with augmented child-like speech Interspeech 2024 Improving Copy-oriented Text Generation via EDU Copy Mechanism COLING 2024 Improving Cross-Lingual CSR Classification Using Pretrained Transformers with Variable Selection Networks and Data Augmentation COLING 2024 Improving Fairness Using Vision-Language Driven Image Augmentation WACV 2024 Improving Generalization in Semantic Parsing by Increasing Natural Language Variation EACL 2024 Improving Grammatical Error Correction via Contextual Data Augmentation ACL 2024 Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective AISTATS 2024 Improving the Effectiveness of Deep Generative Data WACV 2024 Improving the Leaking of Augmentations in Data-Efficient GANs via Adaptive Negative Data Augmentation WACV 2024 Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching IJCAI 2024 Inclusive ASR for Disfluent Speech: Cascaded Large-Scale Self-Supervised Learning with Targeted Fine-Tuning and Data Augmentation Interspeech 2024 Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference for Cost-Effective Cultural Heritage Dataset Generation EMNLP 2024 Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities NeurIPS 2024 Interpretable data-driven model predictive control of building energy systems using SHAP L4DC 2024 Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences IJCAI 2024 Into the Unknown: Generating Geospatial Descriptions for New Environments ACL 2024 IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NeurIPS 2024 Intrinsic Self-Supervision for Data Quality Audits NeurIPS 2024 Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models EMNLP 2024 Investigating the productivity of Passamaquoddy medials: A computational approach EACL 2024 IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators ACL 2024 Is a Large Language Model a Good Annotator for Event Extraction? AAAI 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