no code implementations • 25 Feb 2021 • Anthony Sicilia, Xingchen Zhao, Davneet Minhas, Erin O'Connor, Howard Aizenstein, William Klunk, Dana Tudorascu, Seong Jae Hwang
We consider a model-agnostic solution to the problem of Multi-Domain Learning (MDL) for multi-modal applications.
1 code implementation • 12 Feb 2021 • Xingchen Zhao, Anthony Sicilia, Davneet Minhas, Erin O'Connor, Howard Aizenstein, William Klunk, Dana Tudorascu, Seong Jae Hwang
That is, we train on samples from a set of distributions (sources) and test on samples from a new, unseen distribution (target).