15 citations · 25 across the 13 of their papers we have counts for
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cs.LG2022★ 2 cited
SIMPLE: A Gradient Estimator for -Subset Sampling
Kareem Ahmed, Zhe Zeng, Mathias Niepert +1
-subset sampling is ubiquitous in machine learning, enabling regularization and interpretability through sparsity. The challenge lies in rendering -subset sampling amenable t…
cs.LG2022★ 15 cited
Semantic Probabilistic Layers for Neuro-Symbolic Learning
Kareem Ahmed, Stefano Teso, Kai-Wei Chang +2
We design a predictive layer for structured-output prediction (SOP) that can be plugged into any neural network guaranteeing its predictions are consistent with a set of predefined…
cs.LG2022
Neuro-Symbolic Entropy Regularization
Kareem Ahmed, Eric Wang, Kai-Wei Chang +1
In structured prediction, the goal is to jointly predict many output variables that together encode a structured object -- a path in a graph, an entity-relation triple, or an order…