Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks

no code implementations • 17 Sep 2018 • Clyde Fare, Lukas Turcani, Edward O. Pyzer-Knapp

Chemical representations derived from deep learning are emerging as a powerful tool in areas such as drug discovery and materials innovation.

Drug Discovery Multi-Task Learning