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folinoid.com | ||
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www.unite.ai
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| | | | | Some machine learning models belong to either the generative or discriminative model categories. Yet what is the difference between these two categories of models? What does it mean for a model to be discriminative or generative? The short answer is that generative models are those that include the distribution of the data set, returning a [] | |
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yang-song.net
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| | | | | This blog post focuses on a promising new direction for generative modeling. We can learn score functions (gradients of log probability density functions) on a large number of noise-perturbed data distributions, then generate samples with Langevin-type sampling. The resulting generative models, often called score-based generative models, has several important advantages over existing model families: GAN-level sample quality without adversarial training, flexible model architectures, exact log-likelihood ... | |
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www.danieldjohnson.com
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| | | | | Building generative models of jazz with inductive biases. | |
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dennybritz.com
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| | | Deep Learning is such a fast-moving field and the huge number of research papers and ideas can be overwhelming. | ||
