2 papers
cs.LG2025
SketchOGD: Memory-Efficient Continual Learning
Youngjae Min, Benjamin Wright, Jeremy Bernstein +1
When machine learning models are trained continually on a sequence of tasks, they are often liable to forget what they learned on previous tasks--a phenomenon known as catastrophic…
cs.LG2025
ORFit: One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares
Youngjae Min, Namhoon Cho, Navid Azizan
While large machine learning models have shown remarkable performance in various domains, their training typically requires iterating for many passes over the training data. Howeve…