1 code implementation • 21 Jan 2020 • Adarsh Pyarelal, Marco A. Valenzuela-Escarcega, Rebecca Sharp, Paul D. Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison
Models of complicated systems can be represented in different ways - in scientific papers, they are represented using natural language text as well as equations.
1 code implementation • 13 Dec 2019 • Sean M. Hendryx, Andrew B. Leach, Paul D. Hein, Clayton T. Morrison
We extend first-order model agnostic meta-learning algorithms (including FOMAML and Reptile) to image segmentation, present a novel neural network architecture built for fast learning which we call EfficientLab, and leverage a formal definition of the test error of meta-learning algorithms to decrease error on out of distribution tasks.
Ranked #3 on
Few-Shot Semantic Segmentation
on FSS-1000
no code implementations • 14 Dec 2018 • Enrique Noriega-Atala, Paul D. Hein, Shraddha S. Thumsi, Zechy Wong, Xia Wang, Clayton T. Morrison
We present an analysis of the problem of identifying biological context and associating it with biochemical events in biomedical texts.