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Found 6 papers, 2 papers with code
Desiderata of evidence for representation in neuroscience
We discuss how common methods such as correlational analyses, decoding and encoding models, representational similarity analysis, and tests of statistical dependence are used to evaluate the desiderata.
Studying the neural representations of uncertainty
The study of the brain's representations of uncertainty is a central topic in neuroscience.
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules
Our reasoner uses a state-of-the-art transformer-based generative commonsense knowledge base (KB) as its source of background knowledge for reasoning.
Viola: A Topic Agnostic Generate-and-Rank Dialogue System
We present Viola, an open-domain dialogue system for spoken conversation that uses a topic-agnostic dialogue manager based on a simple generate-and-rank approach.
Conversational Neuro-Symbolic Commonsense Reasoning
More precisely, we consider the problem of identifying the unstated presumptions of the speaker that allow the requested action to achieve the desired goal from the given state (perhaps elaborated by making the implicit presumptions explicit).
Rationalizing Medical Relation Prediction from Corpus-level Statistics
Nowadays, the interpretability of machine learning models is becoming increasingly important, especially in the medical domain.
