Don't PourCerealintoCoffee: Differentiable TemporalLogicforTemporalActionSegmentation
–Neural Information Processing Systems
We propose Differentiable Temporal Logic (DTL), a model-agnostic framework that introduces temporal constraints to deep networks. DTL treats the outputs of a network as a truth assignment of a temporal logic formula, and computes a temporal logic loss reflecting the consistency between the output and the constraints.
Neural Information Processing Systems
Feb-9-2026, 08:36:03 GMT
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