Z Qian, R Davis… - Advances in Neural …, 2024 - proceedings.neurips.cc
Accessible high-quality data is the bread and butter of machine learning research, and the demand for data has exploded as larger and more advanced ML models are built across …
L Hansen, N Seedat… - Advances in Neural …, 2023 - proceedings.neurips.cc
Synthetic data serves as an alternative in training machine learning models, particularly when real-world data is limited or inaccessible. However, ensuring that synthetic data …
M Abufadda, K Mansour - 2021 22nd international arab …, 2021 - ieeexplore.ieee.org
Data is the fuel of machine learning algorithms, therefore data generation in machine learning is becoming an important topic. The problem is that finding enough data for …
Generating synthetic data through generative models is gaining interest in the ML community and beyond. In the past, synthetic data was often regarded as a means to private …
Recent progress in artificial intelligence and machine learning has led to the growth of research in every aspect of life including the health care domain. However, privacy risks and …
Synthetic data provides a privacy protecting mechanism for the broad usage and sharing of healthcare data for secondary purposes. It is considered a safe approach for the sharing of …
Synthetic data consists of artificially generated data. When data are scarce, or of poor quality, synthetic data can be used, for example, to improve the performance of machine …
A Torfi, EA Fox - The thirty-third international flairs conference, 2020 - cdn.aaai.org
Deep learning models have demonstrated high-quality performance in areas such as image classification and speech processing. However, creating a deep learning model using …
Large language models (LLMs) have great potential for synthetic data generation. This work shows that useful data can be synthetically generated even for tasks that cannot be solved …