Deep Deterministic Uncertainty: A Simple Baseline

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Across
  1. 2. the n-dimensions where your variables live
  2. 3. short form of out of distribution
  3. 6. short form of in distribution
  4. 7. the uncertainty of the model due to a lack of training data.
  5. 8. a normalization technique used for generative adversarial networks, used to stabilize training of the discriminator
  6. 10. a statistical model where you use probability to represent all uncertainty within the model, both the uncertainty regarding the output but also the uncertainty regarding the input
Down
  1. 1. function f such that |f(x)-f(y)|<=C|x-y| for all x and y, where C is a constant independent of x and y. Its inverse also is this function.
  2. 4. ensemble of neural networks which average the models probability outputs
  3. 5. Modified National Institute of Standards and Technology database
  4. 9. the data's inherent randomness that cannot be explained away
  5. 11. a mathematical function that converts a vector of numbers into a vector of probabilities
  6. 12. short form of Deep Deterministic Uncertainty