- Supervised Learning
- Classification
- Regression
- Time Series Forecasting
- Unsupervised Learning
- Clustering
- K-Means Clustering
- Hierarchical Clustering
- Semi-Supervised Learning
- Reinforcement Learning(ML)
- Deep Learning(ML)
- Transfer Learning(ML)
- Ensemble Learning
- Explainable AI (XAI)
- Bayesian Learning
- Decision Trees
- Support Vector Machines (SVMs)
- Instance-Based Learning
- Rule-Based Learning
- Neural Networks
- Evolutionary Algorithms
- Meta-Learning
- Multi-Task Learning
- Metric Learning
- Few-Shot Learning
- Adversarial Learning
- Data Pre Processing
- Natural Language Processing(ML)
Few-Shot Learning QUIZ QUESTIONS
Question: 1
What is the main idea behind the concept of "task-agnostic" few-shot learning?
Question: 2
How does active learning relate to few-shot learning?
Question: 3
In few-shot learning, what is the purpose of a test set?
Question: 4
What is the main idea behind the Omniglot dataset, often used in few-shot learning research?
Question: 5
Which of the following is a technique used to prevent overfitting in few-shot learning?
Question: 6
How does curriculum learning relate to few-shot learning?
Question: 7
In few-shot learning, what is the purpose of a task distribution?
Question: 8
What is the main idea behind Reptile, a meta-learning algorithm for few-shot learning?
Question: 9
What is a common use case for few-shot learning?
Question: 10
Which of the following is an important factor to consider when choosing a distance metric for few-shot learning?
Question: 11
In few-shot learning, what is the purpose of a meta-dataset?
Question: 12
Which of the following is a common evaluation metric for few-shot learning models?
Question: 13
In few-shot learning, what is the purpose of an episodic training setup?
Question: 14
What is the main idea behind Relation Networks in few-shot learning?
Question: 15
How does transfer learning relate to few-shot learning?
Question: 16
Which of the following is a key component of Matching Networks in few-shot learning?
Question: 17
What is the main idea behind Siamese Networks in few-shot learning?
Question: 18
What is the main idea behind Prototypical Networks in few-shot learning?
Question: 19
What is the role of the query set in few-shot learning?
Question: 20
In few-shot learning, what is the purpose of a support set?
Question: 21
Which of the following is a distance metric used in few-shot learning?
Question: 22
In the context of few-shot learning, what does N-way K-shot classification mean?
Question: 23
What is the purpose of a memory-augmented neural network (MANN) in few-shot learning?
Question: 24
What does "zero-shot learning" refer to?
Question: 25
Which of the following is an advantage of few-shot learning?
Question: 26
Which of the following is a popular technique used in Few-Shot Learning?
Question: 27
What is the main goal of Meta-Learning?
Question: 28
Which of the following is an example of a meta-learning algorithm?
Question: 29
What is Few-Shot Learning?
Question: 30
What is the primary challenge in Few-Shot Learning?