Causal Triplet
Introduced by Liu et al. in Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
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 LearningPapers
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