2 papers
cs.LG2024
Quantifying Representation Reliability in Self-Supervised Learning Models
Young-Jin Park, Hao Wang, Shervin Ardeshir +1
Self-supervised learning models extract general-purpose representations from data. Quantifying the reliability of these representations is crucial, as many downstream models rely o…
cs.LG2024
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
Young-Jin Park, Donghyun Kim, Frédéric Odermatt +2
Time series forecasting is one of the most essential and ubiquitous tasks in many business problems, including demand forecasting and logistics optimization. Traditional time serie…