The workshop focuses on exposing the current limitations of machine learning methods for molecules by critically assessing them, either theoretically or in applied and in industrial settings. The methods contributed to this workshop can focus on architectures that are robust against domain shifts, such as new biotechnologies or types of molecules. The proposed methods can also focus on quickly adapting to newly acquired data with potentially expensive biotechnologies, concretely few- and zero-shot learning methods. A further theme of the workshop is on methods that lead to new levels of abstractions of molecule representations, such that broader generalization capabilities are enabled.
The workshop will be open for everyone without registration fee.
Learn more about the program and the speakers on the event page.