activity
20182025
most citedSampling-based Bayesian Inference with gradient uncertainty

8 citations · 18 across the 12 of their papers we have counts for

collaborators
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2025

Feasibility with Language Models for Open-World Compositional Zero-Shot Learning

Jae Myung Kim, Stephan Alaniz, Cordelia Schmid +1

Humans can easily tell if an attribute (also called state) is realistic, i.e., feasible, for an object, e.g. fire can be hot, but it cannot be wet. In Open-World Compositional Zero…