Then we introduce a semantic mapper that produces the proxy masks from various input conditions including semantic masks.

To address this gap, we study deterministic/stochastic versions of SAM with practical configurations (i.e., constant

Fréchet regression has emerged as a promising approach for regression analysis involving non-Euclidean response variables.

Previous works have implicitly studied that FL suffers from the "client-drift" problem, which is caused by the inconsistent optimum across local clients.

This work proposes a middle ground in the form of a scalable information-theoretic generalization of CCA, termed max-sliced mutual information (mSMI).

It is crucial to quantify the uncertainty of these dynamics models when using them for planning.