HomeMachine LearningMachine Learning MediaWhat the Human Brain Can Tell Us About NLP Models

What the Human Brain Can Tell Us About NLP Models

Audio version of the article

Today we continue our ICLR 2021 series joined by Allyson Ettinger, an Assistant Professor at the University of Chicago.

One of our favorite recurring conversations on the podcast is the two-way street that lies between machine learning and neuroscience, which Allyson explores through the modeling of cognitive processes that pertain to language. In our conversation, we discuss how she approaches assessing the competencies of AI, the value of control of confounding variables in AI research, and how the pattern matching traits of Ml/DL models are not necessarily exclusive to these systems.

Allyson also participated in a recent panel discussion at the ICLR workshop How Can Findings About The Brain Improve AI Systems?, centered around the utility of brain inspiration for developing AI models. We discuss ways in which we can try to more closely simulate the functioning of a brain, where her work fits into the analysis and interpretability area of NLP, and much more!

This article has been published from the source link without modifications to the text. Only the headline has been changed.

Source link

- Advertisment -What the Human Brain Can Tell Us About NLP Models 3What the Human Brain Can Tell Us About NLP Models 4

Most Popular

- Advertisment -What the Human Brain Can Tell Us About NLP Models 5What the Human Brain Can Tell Us About NLP Models 6