COUNTERFACTUAL CONCEPT BOTTLENECK MODELS
Gabriele Dominici, Pietro Barbiero, et al.
ICLR 2025
Techniques that automatically determine whether events in multiple, multimodal input streams share a common cause are described. It is found that techniques are well-suited for answering a variety of context-awareness questions that arise in human-computer interaction. Context-aware systems being aware of human activity able to interpret a user's intentions and can provide context-aware and personalized support to aid task completion. It is suggested that additional techniques for extracting context information like why and how things happen must also be developed.
Gabriele Dominici, Pietro Barbiero, et al.
ICLR 2025
Yvonne Anne Pignolet, Stefan Schmid, et al.
Discrete Mathematics and Theoretical Computer Science
A. Gupta, R. Gross, et al.
SPIE Advances in Semiconductors and Superconductors 1990
Ruixiong Tian, Zhe Xiang, et al.
Qinghua Daxue Xuebao/Journal of Tsinghua University