Is Generator Conditioning Causally Related to GAN Performance?

no code implementations • ICML 2018 • Augustus Odena, Jacob Buckman, Catherine Olsson, Tom B. Brown, Christopher Olah, Colin Raffel, Ian Goodfellow

Motivated by this, we study the distribution of singular values of the Jacobian of the generator in Generative Adversarial Networks (GANs).

Changing Model Behavior at Test-Time Using Reinforcement Learning

no code implementations • 24 Feb 2017 • Augustus Odena, Dieterich Lawson, Christopher Olah

Machine learning models are often used at test-time subject to constraints and trade-offs not present at training-time.

reinforcement-learning Translation

Conditional Image Synthesis With Auxiliary Classifier GANs

35 code implementations • ICML 2017 • Augustus Odena, Christopher Olah, Jonathon Shlens

We expand on previous work for image quality assessment to provide two new analyses for assessing the discriminability and diversity of samples from class-conditional image synthesis models.

Conditional Image Generation Image Quality Assessment

Document Embedding with Paragraph Vectors

5 code implementations • 29 Jul 2015 • Andrew M. Dai, Christopher Olah, Quoc V. Le

Paragraph Vectors has been recently proposed as an unsupervised method for learning distributed representations for pieces of texts.

Document Embedding Sentiment Analysis +1