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10/20/2022
Causally-guided Regularization of Graph Attention Improves Generalizability
However, the inferred attentions are vulnerable to spurious correlations...
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09/30/2022
Graph Neural Networks for Link Prediction with Subgraph Sketching
Many Graph Neural Networks (GNNs) perform poorly compared to simple heur...
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12/23/2021
Towards more patient friendly clinical notes through language models and ontologies
Clinical notes are an efficient way to record patient information but ar...
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10/30/2020
Biomedical Concept Relatedness – A large EHR-based benchmark
A promising application of AI to healthcare is the retrieval of informat...
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10/07/2019
Correlations between Word Vector Sets
Similarity measures based purely on word embeddings are comfortably comp...
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10/04/2019
Neural Language Priors
The choice of sentence encoder architecture reflects assumptions about h...
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06/25/2019
Explaining Deep Learning Models with Constrained Adversarial Examples
Machine learning algorithms generally suffer from a problem of explainab...
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05/14/2019
Multilingual Factor Analysis
In this work we approach the task of learning multilingual word represen...
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04/30/2019
Model Comparison for Semantic Grouping
We introduce a probabilistic framework for quantifying the semantic simi...
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06/07/2016
Sorting out symptoms: design and evaluation of the 'babylon check' automated triage system
Prior to seeking professional medical care it is increasingly common for...
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12/25/2013
