Chapter 7: Energy-Based Models Quiz
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Questions and Answers

What is the main focus of a deep energy-based model (EBM)?

  • Optimizing gradient descent
  • Sampling from probability distributions (correct)
  • Minimizing loss functions
  • Implementing reinforcement learning algorithms

Which method is commonly used to sample from an EBM?

  • Markov Chain Monte Carlo (MCMC) (correct)
  • Adaptive learning rate methods
  • Backpropagation
  • Stochastic gradient descent

In the context of EBMs, what is the purpose of Langevin dynamics?

  • Accelerating convergence during training
  • Sampling from the EBM distribution (correct)
  • Regularizing the model parameters
  • Controlling the learning rate

Which aspect of diffusion models can help in managing the scale of the generated content?

<p>Cascaded diffusion models (C)</p> Signup and view all the answers

What design choice related to sampling can impact the efficiency and quality of the generated content?

<p>Generating images when you already have a good approximation of the target distribution (B)</p> Signup and view all the answers

What is a capability of cascaded diffusion models in generating images?

<p>Generating high fidelity images without auxiliary image classifiers (A)</p> Signup and view all the answers

Which aspect of diffusion models operates in a lower-dimensional space and can be beneficial for certain applications, such as computer vision?

<p>Subspace diffusion generative models (D)</p> Signup and view all the answers

What aspect can influence the training process and the quality of the generated content in diffusion models?

<p>Choice of loss function and weightings network (A)</p> Signup and view all the answers

What is the main purpose of diffusion models in generative AI?

<p>To generate data similar to the training data (D)</p> Signup and view all the answers

What is the primary focus of score-based modeling in diffusion models?

<p>Refining the data distribution by injecting noise (D)</p> Signup and view all the answers

What distinguishes denoising diffusion as a training technique for diffusion models?

<p>It progressively removes noise from the data to improve content quality (D)</p> Signup and view all the answers

In which field has diffusion models found applications?

<p>Computer vision (A)</p> Signup and view all the answers

What is a key feature of diffusion models in generative AI?

<p>Generating data similar to the training data (C)</p> Signup and view all the answers

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