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Found 5 papers, 2 papers with code
Establishing Shared Query Understanding in an Open Multi-Agent System
Furthermore, we demonstrate a use-case where our method can be applied for the task of cooperative query answering.
Local Explanations for Clinical Search Engine results
In this paper, a model-agnostic explainable method is developed to provide users with further information regarding the reasons why a clinical trial is retrieved in response to a query.
Storchastic: A Framework for General Stochastic Automatic Differentiation
Stochastic AD extends AD to stochastic computation graphs with sampling steps, which arise when modelers handle the intractable expectations common in Reinforcement Learning and Variational Inference.
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
In this paper we analyse a large body of recent literature and we propose a set of modular design patterns for such hybrid, neuro-symbolic systems.
A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems
We propose a set of compositional design patterns to describe a large variety of systems that combine statistical techniques from machine learning with symbolic techniques from knowledge representation.
