Questions tagged [meta-learning]

For questions related to the concept of meta-learning (or learning-to-learn).

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What exactly does meta-learning in reinforcement learning setting mean?

We can use DDPG to train agents to stack objects. And stacking objects can be viewed as first grasping followed by pick and place. In this context, how does meta-reinforcement learning fit? Does it ...
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1answer
31 views

Finding the optimal policy from a set of fixed policies in reinforcement learning

This is an open-ended question.Suppose I have a reinforcement learning task that is being solved using many different fixed policies, one of which is optimal. The goal of the agent is not to figure ...
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1answer
54 views

How are mujoco environments used for meta-rl?

Afaik, investigating meta reinforcement learning algorithms requires a collection of two or more environments which have similar structure but are still different enough. When I read this paper it was ...
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How can I extract images features in k-few shot learning to do semantic segmentation?

I've just started to learn N-way k-few shot learning, and I have understood how to use, i.e., Prototypical networks or Siamese networks to classify images. But, if I want to use those networks to do ...
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49 views

Is there a theory of “meta-layer thinking”?

Some years ago, I came across a notion that states something like: "a machine cannot leave its current level of thinking, move one level up and think about the level below", meaning that a machine ...
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How do I format task features with a one-hot task identification vector to ensure separate weight matrices for each task in multi-task RL?

I am on Lecture 2 of Stanford CS330 Multi-Task and Meta-learning, and on slide 10, the professor describes using a one-hot input vector to represent the task, and she also explained that there would ...
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What is the difference between “out-of-distribution (generalisation)” and “(meta)-transfer learning”?

I'm trying to develop a better understanding of the concept of "out-of-distribution" (generalization) in the context of Bengio's "Moving from System 1 DL to System 2 DL" and the concept of "(meta)-...
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1answer
126 views

Understanding the derivation of the first-order model-agnostic meta-learning

According to the authors of this paper, to improve the performance, they decided to drop backward pass and using a first-order approximation I found a blog which discussed how to derive the math ...
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38 views

What are recent AI software systems and research papers close to J. Pitrat's ideas?

J. Pitrat (born in 1934) was a French leading artificial intelligence scientist (the first to get a Ph.D. in France mentioning "artificial intelligence"). His blog is still online and of course refer ...
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1answer
48 views

What AI conferences in Europe should I consider submitting papers to explaining the ongoing work on RefPerSys?

https://afia.asso.fr/journee-hommage-j-pitrat/ is a seminar on March 6th, 2020, in Paris (France, European Union), in honor of the late Jacques Pitrat, who advocated during all his professional life a ...
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What are the differences between transfer learning and meta learning?

What are the differences between meta-learning and transfer learning? I have read 2 articles on Quora and TowardDataScience. Meta learning is a part of machine learning theory in which some ...
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1answer
493 views

What are the state-of-the-art meta-reinforcement learning methods?

This question can seem a little bit too broad, but I am wondering what are the current state-of-the-art works on meta reinforcement learning. Can you provide me with the current state-of-the-art in ...
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176 views

What does “episodic training” mean?

I'm reading the book Hands-On Meta Learning with Python, and in Prototypical networks said: So, we use episodic training—for each episode, we randomly sample a few data points from each class in ...
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84 views

How important is learning to learn for the development of AGI?

Some people say that abstract thinking, intuition, common sense, and understanding cause and effect are important to make AGI. How important is learning to learn for the development of AGI?
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1answer
191 views

What are the features get from a feature extraction using a CNN?

I've just started to learn CNN and somewhere I have read if I remove the last FCL I will get the features extracted from the input image but... what are those features? Are they numbers? Labels? An ...
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1answer
45 views

Why not go another layer deeper with Auto-AutoML?

So I'm finding AutoML to be pretty interesting but I'm still learning how it all works. I've played with the incredibly broken AutoKeras and got some decent results. The question is, if you are using ...
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1answer
188 views

What is the internal state of a Simple Neural Attentive Meta-Learner(SNAIL)?

In the paper A Simple Neural Attentive Meta-Learner, the authors mentioned right before Section 3.1: we preserve the internal state of a SNAIL across episode boundaries, which allows it to have ...
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347 views

What is the difference between meta-learning and zero-shot learning?

What is the difference between meta-learning and zero-shot learning? Are they synonymous? I have seen articles where they seem to imply that they are at least very similar concepts.