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cs.LG2022★ 141 cited
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami, Minwoo Lee
Few-Shot Learning refers to the problem of learning the underlying pattern in the data just from a few training samples. Requiring a large number of data samples, many deep learnin…
cs.LG2021★ 2 cited
Demystifying Deep Neural Networks Through Interpretation: A Survey
Giang Dao, Minwoo Lee
Modern deep learning algorithms tend to optimize an objective metric, such as minimize a cross entropy loss on a training dataset, to be able to learn. The problem is that the sing…