D-DL4CV-Lec19-Generative_Model_I

Introduction to Generative Model

Supervised vs. Unsupervised Learning

	Data	Goal
Superivsed Learning	$(x,y)$	Learn a function which maps $x$ to $y$
Unsupervised Learning	$x$	Learn some underlying hidden structure of the input data

Discriminative vs. Generative Models

D-DL4CV-Lec19a-Discrimitive_and_Generative_Models

Taxonomy of Generative Models

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Autoregressive Models

Explicit Density Estimation

A model that can do “explicit density estimation” means that given a sequence (e.g., text, images). It can directly tell you the exact probability it appears in the model

D-DL4CV-Lec19b-Explicit_Density_Estimation

Autoregressive Model

D-DL4CV-Lec19c-Autoregressive_Model

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Variational Autoencoders

(Regular, Non-Variational) Autoencoders

D-DL4CV-Lec19d-Autoencoders

Variational Autoencoders

D-DL4CV-Lec19e-Variational_Autoencoders