output
20172021
most citedLearning to Plan Chemical Syntheses

2k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020 · cs.LGShow all

2 papers · 2 filters

cs.LG2020★ 118 cited

Molecular representation learning with language models and domain-relevant auxiliary tasks

Benedek Fabian, Thomas Edlich, Héléna Gaspar +4

We apply a Transformer architecture, specifically BERT, to learn flexible and high quality molecular representations for drug discovery problems. We study the impact of using diffe…

cs.LG2020

A Hierarchical Transformer for Unsupervised Parsing

Ashok Thillaisundaram

The underlying structure of natural language is hierarchical; words combine into phrases, which in turn form clauses. An awareness of this hierarchical structure can aid machine le…