Causal Triplet

ImagesApache-2.0 licenseIntroduced 2023-01-12

Causal Triplet is a causal representation learning benchmark featuring not only visually more complex scenes, but also two crucial desiderata commonly overlooked in previous works:

  1. An actionable counterfactual setting, where only certain object-level variables allow forcounterfactual observations whereas others do not.

  2. An interventional downstream task with an emphasis on out-of-distribution robustness from the independent causal mechanisms principle.

Source: Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning

Image Source: https://arxiv.org/pdf/2301.05169v1.pdf