research
∙
02/28/2023
Semantic Strengthening of Neuro-Symbolic Learning
Numerous neuro-symbolic approaches have recently been proposed typically...
share
research
∙
10/04/2022
SIMPLE: A Gradient Estimator for k-Subset Sampling
k-subset sampling is ubiquitous in machine learning, enabling regulariza...
research
∙
06/01/2022
Semantic Probabilistic Layers for Neuro-Symbolic Learning
We design a predictive layer for structured-output prediction (SOP) that...
research
∙
02/07/2022
Performance Evaluation of Infrared Image Enhancement Techniques
Infrared (IR) images are widely used in many fields such as medical imag...
research
∙
01/25/2022
Neuro-Symbolic Entropy Regularization
In structured prediction, the goal is to jointly predict many output var...
research
∙
03/20/2021
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction
We study the problem of entity-relation extraction in the presence of sy...
research
∙
10/08/2016