(no subject)
On "Adversarial Dreaming":
M.Gygli, M.Norouzi,
A.Angelova (2017)
"Deep Value Networks learn
to evaluate and iteratively
refine structured outputs."
Previous links on
Adversarial Learning:
1, 2, 3, 4.
Recent articles:
"Adversarially regularized
autoencoders for generating
discrete structures." LeCun et al.
"Variational approaches for
auto-encoding generative
adversarial networks."
"From source to target and back:
symmetric bidirectional adaptive GAN."
"Gradient descent GAN optimi-
zation is locally stable."
M.Gygli, M.Norouzi,
A.Angelova (2017)
"Deep Value Networks learn
to evaluate and iteratively
refine structured outputs."
Previous links on
Adversarial Learning:
1, 2, 3, 4.
Recent articles:
"Adversarially regularized
autoencoders for generating
discrete structures." LeCun et al.
"Variational approaches for
auto-encoding generative
adversarial networks."
"From source to target and back:
symmetric bidirectional adaptive GAN."
"Gradient descent GAN optimi-
zation is locally stable."