Questions tagged [few-shot-learning]
5 questions
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What is zero-shot vs one-short vs few-shot learning?
Are there any papers/research work that deals with generalizing the matrix of how the *-shot(s) learning are defined?
There's a wide variety of papers that titled themselves as *-shot(s) learning, with some variants of how *-shots are defined,…
alvas
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2 answers
How to find entity names in non-grammaratical text?
Given:
Bella Pharma Rosuvas 5 Enalapril 10 Domperidone 10 Ned's 24 by 7 PCM 650 Teneligliptin 5 ...
Get: (1,2,shop), (3,4,med), (5,6,med), (7,8,med), (9,12,shop), (13,14,med), ... i.e. words 1 and 2 denote a shop name, 3 and 4 denote a medicine…
Ryu J.
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1
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1 answer
Should number of classes be the same in few shot learning train and test?
I used to believe in k-way-n-shot few-shot learning, k and n (number of classes and samples from each class respectively) must be the same in train and test phases. But now I come across a git repository for few-shot learning that uses different…
Marzi Heidari
- 249
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How to handle datasets with multiple attributes in meta learning?
So far we have seen a meta-learning example with an image dataset (e.g., Omniglot) that has only one attribute. However, they have multiple attributes if we want to use non-image datasets (e.g., diabetes prediction based on IoT sensors). If we want…
Anik Islam Abhi
- 101
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How to combine multiple dataset efficiently to solve using meta learning?
I am solving a meta-learning problem using Reptile Algorithm as used here. I have two datasets. One contains the following classes: iris, pupil, and sclera along with their annotations. Another contains classes as follows: iris, pupil, sclera, and…
Na462
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