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The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to
  a Distribution Mismatch

The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch

30 October 2023
Tim Z. Xiao
Johannes Zenn
Robert Bamler
ArXivPDFHTML

Papers citing "The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch"

2 / 2 papers shown
Title
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
185
302
0
21 May 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
348
36,437
0
25 Aug 2016
1