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  • N-SHOT LEARNING
  • ZERO SHOT LEARNING

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  1. Types Of Machine Learning

N-Shot Learning

PreviousOnline LearningNextUnlearning

Last updated 3 years ago

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N-SHOT LEARNING

  1. (siamese is one shot)

ZERO SHOT LEARNING

  1. , we use some kind of vector representation for the classes, taken from a co-occurrence-after-svd or word2vec. - quite clever. This enables us to figure out if a new unseen class is near one of the known supervised classes. KNN can be used or some other distance-based classifier. Can we use word2vec for similarity measurements of new classes? Image by

    for classification, we can use nearest neighbour or manifold-based labeling propagation. Image by Multiple category vectors? Multilabel zero-shot also in the video

GPT3 is ZERO, ONE, FEW

Zero shot, one shot, few shot
Instead of using class labels
Dr. Timothy Hospedales, Yandex
Dr. Timothy Hospedales, Yandex
with siamese networks
Prompt Engineering Tips & Tricks
Open GPT3 prompt engineering