Brief Background

This blog was published as a part of seminar series in class COMSE6998 Practical Deep Learning Systems Performance taught by professor Parijat Dube at Columbia University. My friend Axel and I went through 4 research papers on one-shot learning. In this blog, I will summarize two of those papers. You can refer his blog for the other two papers.

Introduction

One-shot learning is a classification task where the model has to predict the class of a test image by only looking at one or a few training examples per class. Humans are great at one-shot learning. Kids as young as 3…

Paras Tehria

MS CS student Columbia University in the city of New York

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