Amit Mandelbaum

Amit Mandelbaum
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Amit Mandelbaum
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Computer Science - Learning (2)
 
Computer Science - Computation and Language (1)
 
Statistics - Machine Learning (1)

Publications Authored By Amit Mandelbaum

Deep learning has become the method of choice in many application domains of machine learning in recent years, especially for multi-class classification tasks. The most common loss function used in this context is the cross-entropy loss, which reduces to the log loss in the typical case when there is a single correct response label. While this loss is insensitive to the identity of the assigned class in the case of misclassification, in practice it is often the case that some errors may be more detrimental than others. Read More

This paper have two parts. In the first part we discuss word embeddings. We discuss the need for them, some of the methods to create them, and some of their interesting properties. Read More