Questions tagged [embeddings]
For questions about embeddings (not necessarily just word embeddings, for which there is a specific tag) in the context of machine learning.
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Is there any research work that shows that we should explicitly mark the word boundaries for 1D CNNs?
I'm doing character embedding for NLP tasks using one-dimensional convolutional neural networks (see Chiu and Nichols (2016) for the motivation). I haven't found any empirical evidence of whether or ...
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1answer
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In the machine learning literature, what does it mean to say that something is “embedded” in some space?
In the machine learning literature, I often see it said that something is "embedded" in some space. For instance, that something is "embedded" in feature space, or that our data ...
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1answer
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What is the role of embeddings in a deep recurrent Q network?
When describing the model architecture for a deep recurrent q network, the authors of the paper Learning to Communicate with Deep Multi-Agent Reinforcement Learning
each agent consists of a recurrent ...
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4answers
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What is the difference between latent and embedding spaces?
In general, the word "latent" means "hidden" and "to embed" means "to incorporate". In machine learning, the expressions "hidden (or latent) space" ...
