Few-Shot Learning QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

What is the main idea behind the concept of "task-agnostic" few-shot learning?

Question: 2

What is the main idea behind the Omniglot dataset, often used in few-shot learning research?

Question: 3

In few-shot learning, what is the purpose of a test set?

Question: 4

How does active learning relate to few-shot learning?

Question: 5

Which of the following is a technique used to prevent overfitting in few-shot learning?

Question: 6

What is a common use case for few-shot learning?

Question: 7

What is the main idea behind Reptile, a meta-learning algorithm for few-shot learning?

Question: 8

In few-shot learning, what is the purpose of a task distribution?

Question: 9

How does curriculum learning relate to few-shot learning?

Question: 10

Which of the following is a common evaluation metric for few-shot learning models?

Question: 11

In few-shot learning, what is the purpose of a meta-dataset?

Question: 12

Which of the following is an important factor to consider when choosing a distance metric for few-shot learning?

Question: 13

What is the main idea behind Relation Networks in few-shot learning?

Question: 14

In few-shot learning, what is the purpose of an episodic training setup?

Question: 15

Which of the following is a key component of Matching Networks in few-shot learning?

Question: 16

How does transfer learning relate to few-shot learning?

Question: 17

What is the main idea behind Siamese Networks in few-shot learning?

Question: 18

What is the role of the query set in few-shot learning?

Question: 19

What is the main idea behind Prototypical Networks in few-shot learning?

Question: 20

Which of the following is a distance metric used in few-shot learning?

Question: 21

In few-shot learning, what is the purpose of a support set?

Question: 22

Which of the following is an advantage of few-shot learning?

Question: 23

What does "zero-shot learning" refer to?

Question: 24

What is the purpose of a memory-augmented neural network (MANN) in few-shot learning?

Question: 25

In the context of few-shot learning, what does N-way K-shot classification mean?

Question: 26

Which of the following is an example of a meta-learning algorithm?

Question: 27

What is the main goal of Meta-Learning?

Question: 28

Which of the following is a popular technique used in Few-Shot Learning?

Question: 29

What is Few-Shot Learning?

Question: 30

What is the primary challenge in Few-Shot Learning?