A Data-Centric Approach to improve performance of deep learning models
Whang, S. E., Roh, Y., Song, H. & Lee, J. G. Data collection and quality challenges in deep learning: a...
Models
Comprehensive input models and machine learning methods to improve permeability prediction
Data preparationIn the studied field, after collecting the required data, the information related to the logs of wells A and...
Predicting Sustainable Development Goals (SDG) Scores by 2030: A Machine Learning Approach with ARIMAX and Linear Regression Models
Forecasting Sustainable Development Goals (SDG) Scores by 2030: The Sustainable Development Goals (SDGs) set by the United Nations aim to...
Path: A Machine Learning Method for Training Small-Scale (Under 100M Parameter) Neural Information Retrieval Models with as few as 10 Gold Relevance Labels
The creative applications and management of pretrained language models have led to some great improvements in the quality of information...
