Richard Socher on conviction in research

Mon, 02 May 2022 15:15:00 -0700

The early days of the rise of deep learning in NLP, conviction, the importance of applied work in the current moment, start-up risks, the state of Web search, paramotoring, and over-looked gems in the U.S. National Park system.

Transcript: https://web.stanford.edu/class/cs224u/podcast/socher/

Richard's website

Richard's Twitter

Richard's paramotoring

Salesforce Research

you.com

@YouSearchEngine

Nate Chambers

Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems

Parsing Natural Scenes and Natural Language with Recursive Neural Networks

CS224n

Collobert and Weston 2008: A unified architecture for natural language processing: deep neural networks with multitask learning

Stephen Merity

CoVe: Learned in Translation: Contextualized Word Vectors

https://believermag.com/ghosts/

Frances Arnold

ProGen: Language Modeling for Protein Generation

Lav Varshney

decaNLP

Chris Ré

Loebner Prize

Eugene Goostman

Richard's castle on airbnb

American Samoa National Park

Great Sand Dunes National Park

White Sands National Park

Zion National Park