6 citations · 6 across the 3 of their papers we have counts for
4 papers
Noise2Astro: Astronomical Image Denoising With Self-Supervised NeuralNetworks
Yunchong Zhang, Brian Nord, Amanda Pagul +1
In observational astronomy, noise obscures signals of interest. Large-scale astronomical surveys are growing in size and complexity, which will produce more data and increase the w…
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis
Michael A. Lepori
We present a new approach for detecting human-like social biases in word embeddings using representational similarity analysis. Specifically, we probe contextualized and non-contex…
Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis
Michael A. Lepori, R. Thomas McCoy
As the name implies, contextualized representations of language are typically motivated by their ability to encode context. Which aspects of context are captured by such representa…
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs
Michael A. Lepori, Tal Linzen, R. Thomas McCoy
Sequence-based neural networks show significant sensitivity to syntactic structure, but they still perform less well on syntactic tasks than tree-based networks. Such tree-based ne…