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

Hopfield Boosting, a boosting approach, which leverages modern Hopfield energy to sharpen the decision boundary between the in-distribution and OOD data.

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.