---
title: "Moustapha Cisse — author profile and papers in our library"
description: "Moustapha Cisse: 2 papers on Elamur Research (2016–2017), h-index 23 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/moustapha-cisse/"
---
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# Moustapha Cisse

Moustapha Cisse has 2 papers in our library, in 2016–2017, most of them on [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/); often with [Armand Joulin](https://md.research.elamur.ai/free/en/authors/armand-joulin/), [David Grangier](https://md.research.elamur.ai/free/en/authors/david-grangier/), [David Lopez-Paz](https://md.research.elamur.ai/free/en/authors/david-lopez-paz/).

2 papers in our library · 2016–2017

[OpenAlex](https://openalex.org/A5008590331) · [ORCID](https://orcid.org/0000-0003-2400-2492) · [**h-index 23**](https://openalex.org/authors/A5008590331) · [82 works](https://openalex.org/works?filter=author.id:A5008590331) · [7,027 citations](https://openalex.org/works?filter=author.id:A5008590331&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/moustapha-cisse/#papers) · [🔗 Cited 392 times in our library](https://md.research.elamur.ai/free/en/authors/moustapha-cisse/cited-by/) · [⭐ Paper Stars ranking: #564](https://md.research.elamur.ai/free/en/paper-stars/page/6/#star-564)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Moustapha+Cisse) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Moustapha+Cisse) · [dblp](https://dblp.org/search?q=Moustapha+Cisse) · [ACL Anthology](https://aclanthology.org/search/?q=Moustapha+Cisse)

## Affiliations

[🏢**Meta** Menlo Park · United States 2016–2018 · 9 papers](https://md.research.elamur.ai/free/en/companies/meta/) · [🏥**Hôpital Aristide Le Dantec** Dakar · Senegal 2022–2023 · 3 papers](https://ror.org/01n1j0f20) · [🏛️**Ministère de la Santé Publique et Action Sociale** Dakar · Senegal 2018–2020 · 3 papers](https://ror.org/00e4qtq76) · [🏢**Google** Mountain View · United States 2018–2020 · 2 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Meta** Tel Aviv · Israel 2017 · 2 papers](https://md.research.elamur.ai/free/en/companies/meta-israel/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/)

## Works by year

### 2010s

[**2017** 1 paper Moustapha Cisse's papers of 2017](https://md.research.elamur.ai/free/en/papers/zhang-2017-mixup-empirical-risk-minimization/) · [**2016** 1 paper Moustapha Cisse's papers of 2016](https://md.research.elamur.ai/free/en/papers/grave-2016-efficient-softmax-approximation-gpus/)

## Papers

The most cited first (OpenAlex and our library).

1. **[mixup: Beyond Empirical Risk Minimization](https://md.research.elamur.ai/free/en/papers/zhang-2017-mixup-empirical-risk-minimization/)** *(2017 · 4,811 citations)* Large neural networks trained by minimizing their average training error (the ERM principle) can simply memorize the data, even randomly assigned labels.
2. **[Efficient softmax approximation for GPUs](https://md.research.elamur.ai/free/en/papers/grave-2016-efficient-softmax-approximation-gpus/)** *(2016 · 198 citations)* Neural language models with huge vocabularies spend most of their compute on the output softmax, because its cost grows with the number of words.

## Co-authors here

6 co-authors with a page, the most papers together first.

- [Armand Joulin](https://md.research.elamur.ai/free/en/authors/armand-joulin/)
- [David Grangier](https://md.research.elamur.ai/free/en/authors/david-grangier/)
- [David Lopez-Paz](https://md.research.elamur.ai/free/en/authors/david-lopez-paz/)
- [Edouard Grave](https://md.research.elamur.ai/free/en/authors/edouard-grave/)
- [Herve Jegou](https://md.research.elamur.ai/free/en/authors/herve-jegou/)
- [Yann N. Dauphin](https://md.research.elamur.ai/free/en/authors/yann-n-dauphin/)

## Cited by

Papers of our library cite their works 392 times (of the 141,840 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/moustapha-cisse/cited-by/).

Updated 24 October 2026
