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Found 4 papers, 3 papers with code
Exploring Prompting Methods for Mitigating Class Imbalance through Synthetic Data Generation with Large Language Models
Our findings indicate that using CSV format, balancing classes, and employing unique variable mapping produces realistic and reliable data, significantly enhancing machine learning performance for minor classes in imbalanced datasets.
Morphology-Aware Interactive Keypoint Estimation
To fully automate this procedure, deep-learning-based methods have been widely proposed and have achieved high performance in detecting keypoints in medical images.
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift
The former normalizes the input to fix its distribution in terms of the mean and variance, while the latter returns the output to the original distribution.
Wide Receptive Field and Channel Attention Network for JPEG Compressed Image Deblurring
Therefore, it is very difficult to restore the original image from a blurred and JPEG-compressed image.
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