Maitreya Patel

A Blog About Machine Learning and Research

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Few Shot Learning - A Case Study (1)

In simple terms, few shot learning is the ability to learn for the given tasks from provided limited data...

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Few Shot Learning - A Case Study (2)

In few shot classification, our objective is to design a method which can identify any object images by analyzing few sample images of the same class....

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Few Shot Learning - A Case Study (3)

Whenever someone hears about word embeddings, word2vec, GLoVe, and Language models (i.e., BERT, RoBERTa, etc.) are the key technics that comes into the mind. Therefore, ....

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