Search Results for author: Christopher Olah

Found 9 papers, 5 papers with code

Toy Models of Superposition

1 code implementation21 Sep 2022 Nelson Elhage, Tristan Hume, Catherine Olsson, Nicholas Schiefer, Tom Henighan, Shauna Kravec, Zac Hatfield-Dodds, Robert Lasenby, Dawn Drain, Carol Chen, Roger Grosse, Sam McCandlish, Jared Kaplan, Dario Amodei, Martin Wattenberg, Christopher Olah

Neural networks often pack many unrelated concepts into a single neuron - a puzzling phenomenon known as 'polysemanticity' which makes interpretability much more challenging.

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 implementations24 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.

BIG-bench Machine Learning reinforcement-learning +2

Conditional Image Synthesis With Auxiliary Classifier GANs

36 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.

Ranked #13 on Conditional Image Generation on CIFAR-10 (Inception score metric)

Conditional Image Generation Image Quality Assessment

Document Embedding with Paragraph Vectors

5 code implementations29 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

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