Aaron Courville
(5 articles)
Adversarial Instructions
Inputs designed to deceive AI models into making incorrect predictions or decisions, highlighting vulnerabilities in their learning algorithms.
Generality: 740
Discriminator
Model that determines the likelihood of a given input being real or fake, typically used in generative adversarial networks (GANs).
Generality: 815
GAN
Generative Adversarial Network
Generative Adversarial Network
Class of AI algorithms used in unsupervised ML, implemented by a system of two neural networks contesting with each other in a game.
Generality: 865
Mode Collapse
Phenomenon in Generative Adversarial Networks (GANs) where the generator produces limited, highly similar outputs, ignoring the diversity of the target data distribution.
Generality: 375
Model Collapse
Phenomenon where a ML model, particularly in unsupervised or generative learning, repeatedly produces identical or highly similar outputs despite varying inputs, leading to a loss of diversity in the generated data.
Generality: 650