GNN operations need to be equivariant to is the starting point for the rest of this paper.

Thenoisemagnitudeobtained is 0.0 forskinlesionclassifier, 0.0005 forlungsoundclassifier, and 0.0 for Parkinson' sdisease classifier. InProceedingsofthe 17th Conferenceon Embedded Networked Sensor Systems, pages 1-14, 2019.

Federated learning (FL) has emerged as an enabling framework for communication-efficient decentralized training.

The network chooses an action by selecting a unit in the output layer and uses feedback connections to assign credit to the units in successively lower layers that are responsible for this action.

Behavioral cloning has proven to be effective for learning sequential decisionmaking policies fromexpertdemonstrations.

In this problem, we are given i.i.d.

Inthis paper, we explore a variety of discrete latent representations, including textual descriptions, detection bounding boxes, object blobs, and visual tokens.

Unpaired image-to-image translation (I2I) aims to transfer an image from a source domain to a related targetdomain, whichinvolvesawide range ofcomputer vision tasks such asstyle transfer, super-resolution and pose estimation [35]. InI2I, the translated image should berealistictofitthe style of the target domain by changing the domain-specific features accordingly, andfaithful to preservethedomain-independent featuresofthesourceimage.