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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Semantic-Aware Data Augmentation for Text-to-Image Synthesis AAAI 2024
Balance, Multiple Augmentation, and Re-synthesis: A Triad Training Strategy for Enhanced Audio Deepfake Detection INTERSPEECH 2024
Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking AAAI 2024
Translation of Multifaceted Data without Re-Training of Machine Translation Systems EMNLP 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning NIPS 2024
A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages EACL 2024
CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation AAAI 2024
QAGait: Revisit Gait Recognition from a Quality Perspective AAAI 2024
VIGC: Visual Instruction Generation and Correction AAAI 2024
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models ACL 2024
Language Model Priors and Data Augmentation Strategies for Low-resource Machine Translation: A Case Study Using Finnish to Northern Sámi ACL 2024
Exploring the Potential of Dense Information in Multimodal Alignment ACL 2024
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation ACL 2024
NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes ACL 2024
Reinforcement Learning based Data Augmentation for Noise Robust Speech Emotion Recognition INTERSPEECH 2024
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems ACL 2024
Frequency-mix Knowledge Distillation for Fake Speech Detection INTERSPEECH 2024
A Comprehensive Investigation on Speaker Augmentation for Speaker Recognition INTERSPEECH 2024
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition NIPS 2024
Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation AAAI 2024
BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text NIPS 2024
REDUCR: Robust Data Downsampling using Class Priority Reweighting NIPS 2024
Croissant: A Metadata Format for ML-Ready Datasets NIPS 2024
SELF-EXPERTISE: Knowledge-based Instruction Dataset Augmentation for a Legal Expert Language Model NAACL 2024
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise AAAI 2024