Linked Questions

0 votes
0 answers
19 views

Why are various deep learning models unsupervised? [duplicate]

While studying the field of deep learning, the questions I had from the beginning have still not been resolved. In general, supervised learning is known to solve problems by comparing the results ...
장민규's user avatar
26 votes
1 answer
34k views

How does the (decoder-only) transformer architecture work?

How does the (decoder-only) transformer architecture work which is used in impressive models such as GPT-4?
Robin van Hoorn's user avatar
13 votes
3 answers
13k views

What is the relation between semi-supervised and self-supervised visual representation learning?

What's the differences between semi-supervised learning and self-supervised visual representation learning, and how they are connected?
0x90's user avatar
  • 281
16 votes
4 answers
10k views

What is the difference between self-supervised and unsupervised learning?

What is the difference between self-supervised and unsupervised learning? The terms logically overlap (and maybe self-supervised learning is a subset of unsupervised learning?), but I cannot pinpoint ...
Robin van Hoorn's user avatar
7 votes
1 answer
16k views

Which tasks are called as downstream tasks?

The following paragraph is from page no 331 of the textbook Natural Language Processing by Jacob Eisenstein. It mentions about certain type of tasks called as downstream tasks. But, it provide no ...
hanugm's user avatar
  • 3,890
8 votes
3 answers
4k views

Do GANs come under supervised learning or unsupervised learning?

Do GANs come under supervised learning or unsupervised learning? My guess is that they come under supervised learning, as we have labeled dataset of images, but I am not sure as there might be other ...
codecracker's user avatar
4 votes
1 answer
2k views

Where do the feature extraction and representation learning differ?

Feature selection is a process of selecting a subset of features that contribute the most. Feature extraction allows getting new features that are not actually present in the given set of features. ...
hanugm's user avatar
  • 3,890
3 votes
1 answer
2k views

How to generate labels for self-supervised training?

I've been reading a lot lately about self-supervised learning and I didn't understand very well how to generate the desired label for a given image. Let's say that I have an image classification task, ...
Vesko Vujovic's user avatar
6 votes
2 answers
1k views

How to understand the concept of self-supervised learning in AI?

I am new to self-supervised learning and it all seems a little magical at the moment. The only way I can get an intuitive understanding is to assume that, for real-world problems, features are still ...
user3546025's user avatar
0 votes
1 answer
1k views

What is the purpose of the GAN?

The Generative Adversarial Network (GAN) is composed of a generator $G$ and a discriminator $D$. How do these two components interact? What is the intuition behind the GAN, its purpose, and how it is ...
XL _At_Here_There's user avatar
2 votes
1 answer
1k views

What is the difference between distant supervision and self-supervision?

Weak supervision is supervised learning, with uncertainty in the labeling, e.g. due to automatic labeling or because non-experts labelled the data [1]. Distant supervision [2, 3] is a type of weak ...
Make42's user avatar
  • 163
4 votes
1 answer
379 views

How Does AlphaGo Zero Implement Reinforcement Learning?

AlphaGo Zero (https://deepmind.com/blog/alphago-zero-learning-scratch/) has several key components that contribute to it's success: A Monte Carlo Tree Search Algorithm that allows it to better search ...
SeeDerekEngineer's user avatar
2 votes
1 answer
308 views

Is it possible to pre-train a CNN in a self-supervised way so that it can later be used to solve an instance segmentation task?

I would like to use self-supervised learning (SSL) to learn features from images (the dataset consists of similar images with small differences), then use the resulting trained model to bootstrap an ...
Timco Vanco's user avatar
3 votes
1 answer
342 views

Does self-supervised learning require auxiliary tasks?

Self-supervised learning algorithms provide labels automatically. But, it is not clear what else is required for an algorithm to fall under the category "self-supervised": Some say, self-...
Make42's user avatar
  • 163
4 votes
1 answer
196 views

What is the relation between self-taught learning and transfer learning?

I am new to transfer learning and I start by reading A Survey on Transfer Learning, and it stated the following: according to different situations of labeled and unlabeled data in the source domain, ...
Kais Hasan's user avatar

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