Questions tagged [active-learning]

For questions related to active learning, which is a machine learning technique where the user is interactively queried to label certain unlabelled training examples.

8 questions
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What is the difference between active learning and online learning?

The definitions for these two appear to be very similar, and frankly, I've been only using the term "active learning" the past couple of years. What is the actual difference between the two? Is one a subset of the other?
5
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2 answers

Is it possible to guide a reinforcement learning algorithm?

I have just started to study reinforcement learning and, as far as I understand, existing algorithms search for the optimal solution/policy, but do not allow the possibility for the programmer to suggest a way to find the solution (to guide their…
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Could an AI be built to learn based of interaction with a human?

A neural network is usually programmed to learn from datasets to solve a specific problem. Essentially, they perform non-linear regression. Could a neural network be programmed to receive input from a human, like a terminal, to begin to grow and…
3
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2 answers

How can active learning be used in the case of complex models that require a lot of data?

We have a series of data and we want to label the parts of each series. As we do not have any training data, we could try to use active learning as a solution, but the problem is that our classifier is something like RNN which needs a lot of data to…
OmG
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Active Learning regression with Random Forest

I have a dataset of about 8k points and I am trying to employ active learning with the random forest regressor. I have split the dataset to train and test with train being around 20 points. The test serves as the unlabelled pool (although I have the…
0
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How to select pseudo label samples that minimize validation loss?

I have a problem about meta pseudo labeling, I want to select the most significant pseudo-labels that minimize validation loss. Let's say i initialize a set of pseudo label denoted $Y_{pseudo}$, then i perform parameter update by gradient…
0
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2 answers

classification of unseen classes of image in open set classification

I have a scanned image, and they need to be classified in one of the pre-defined image classes, so that it can be sorted. However, the problem is the open nature of the classes. At testing time, new classes of scanned images can be added and the…
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What are good techniques for continuous learning in production?

I was wondering which AI techniques and architectures are used in environments that need predictions to continually improve by the feedback of the user. So let's take some kind of recommendation system, but not for a number of $n$ products, but for…