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brazofuerte
  • Member for 3 years, 3 months
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17 votes
Accepted

What is the difference between latent and embedding spaces?

11 votes
Accepted

What is non-Euclidean data?

4 votes

What is feature embedding in the context of convolutional neural networks?

2 votes

What are examples of approaches to dimensionality reduction of feature vectors?

2 votes

In what ways is the term "topology" applied to Artificial Intelligence?

2 votes

Is ReLU a non-linear activation function?

2 votes
Accepted

Is there an open-source implementation for graph convolution networks for weighted graphs?

2 votes

What is the difference between a convolutional neural network and a regular neural network?

2 votes

What is a graph neural network?

2 votes

Are there neural networks that accept graphs or trees as inputs?

2 votes

Why are "Transformers" called this way?

1 vote

What do you call a machine learning system that keeps on learning?

1 vote

What is different in each head of a multi-head attention mechanism?

1 vote

A* is similar to Dijkstra with reduced cost

1 vote

What are the purposes of autoencoders?

1 vote

What is the difference between graph semi-supervised learning and normal semi-supervised learning?

1 vote

What are the exact meaning of "lower-order structure" and "higher-order structure" in this paper?

1 vote

Are there any public real-life code examples of ML applications in Python?

0 votes

How to represent and work with the feature matrix for graph convolutional network (GCN) if the number of features for each node is different?

0 votes

What is the proof that the branch and bound algorithm always finds optimal path in a graph?