---
title: "Visa — works of 2020: 1 papers, the most cited first"
description: "1 works of Visa from 2020 in our library, the most cited first. Among them: How Can Self-Attention Networks Recognize Dyck-n Languages?…"
canonical: "https://research.elamur.ai/free/en/companies/visa/year/2020/"
---
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# Works of Visa from 2020

1 work · the most cited first · [← Visa](https://md.research.elamur.ai/free/en/companies/visa/)

1. **[How Can Self-Attention Networks Recognize Dyck-n Languages?](https://md.research.elamur.ai/free/en/papers/ebrahimi-2020-how-can-self-attention-networks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Javid Ebrahimi, Dhruv Gelda, Wei Zhang*2020 · 41 citations*
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