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04/19/2023
Beyond Transformers for Function Learning
The ability to learn and predict simple functions is a key aspect of hum...
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04/01/2023
Abstractors: Transformer Modules for Symbolic Message Passing and Relational Reasoning
A framework is proposed that casts relational learning in terms of trans...
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05/21/2021
Modelling the development of counting with memory-augmented neural networks
Learning to count is an important example of the broader human capacity ...
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11/17/2020
Learning Canonical Transformations
Humans understand a set of canonical geometric transformations (such as ...
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03/06/2020
Novel Edge and Density Metrics for Link Cohesion
We present a new metric of link cohesion for measuring the strength of e...
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04/26/2019
A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images
We consider thyroid-malignancy prediction from ultra-high-resolution who...
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03/29/2019