2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2020
Compositional Explanations of Neurons
Jesse Mu, Jacob Andreas
We describe a procedure for explaining neurons in deep representations by identifying compositional logical concepts that closely approximate neuron behavior. Compared to prior wor…
cs.CL2020★ 2 cited
Learning to refer informatively by amortizing pragmatic reasoning
Julia White, Jesse Mu, Noah D. Goodman
A hallmark of human language is the ability to effectively and efficiently convey contextually relevant information. One theory for how humans reason about language is presented in…
cs.CV2019
Shaping Visual Representations with Language for Few-shot Classification
Jesse Mu, Percy Liang, Noah Goodman
By describing the features and abstractions of our world, language is a crucial tool for human learning and a promising source of supervision for machine learning models. We use la…