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Found 3 papers, 1 papers with code
MOD-CL: Multi-label Object Detection with Constrained Loss
In Task 1, we introduce the Corrector Model and Blender Model, two new models that follow after the object detection process, aiming to generate a more constrained output.
Towards end-to-end ASP computation
We propose an end-to-end approach for answer set programming (ASP) and linear algebraically compute stable models satisfying given constraints.
Generating Explainable Rule Sets from Tree-Ensemble Learning Methods by Answer Set Programming
We propose a method for generating explainable rule sets from tree-ensemble learners using Answer Set Programming (ASP).
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