Colin Raffel is currently a Senior Research Scientist at Google Brain, and soon to be an assistant professor at the University of North Carolina. His recent work focuses on transfer learning and learning from limited labels. 

His thesis is titled "Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching", which we discuss along with the connections to his later work, and plans for the future.

Episode notes: https://cs.nyu.edu/~welleck/episode2.html

Follow the Thesis Review (@thesisreview) and Sean Welleck (@wellecks) on Twitter, and find out more info about the show at https://cs.nyu.edu/~welleck/podcast.html

[02] Colin Raffel - Learning-Based Methods for Comparing Sequences

credits: sammy adams, wes walker & dyl, student 1, why khaliq, rapta, p-holla, maxtaylor, maya king, skylarallen & more

contact: 

mersyplugmein@gmail.com

Each episode of The Thesis Review is a conversation centered around a researcher's PhD thesis, giving insight into their history, revisiting older ideas, and providing a valuable perspective on how their research has evolved (or stayed the same) since.