23 citations · 25 across the 8 of their papers we have counts for
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cs.LG2023
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.LG2022
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…
cs.LG2019★ 1 cited
Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution
Youngjae Min, Hye Won Chung
Guiding the design of neural networks is of great importance to save enormous resources consumed on empirical decisions of architectural parameters. This paper constructs shallow s…