Elamur Research⌕
☰
home / authors / Moin Nabi

Moin Nabi

Moin Nabi has 2 papers in our library, in 2017–2024, most of them on Language models & pretraining; often with Aurélie Herbelot, Iman Mirzadeh, Mehrdad Farajtabar.

2 papers in our library · 2017–2024

OpenAlex · ORCID · h-index 23 · 78 works · 3,147 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 117 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #6378

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Systems, Applications & Products in Data ProcessingWalldorf · Germany2018–2022 · 17 papers🎓University of TrentoTrento · Italy2015–2021 · 15 papersEmployment since 2015 · Post-doc, DISI🏢Systems, Applications & Products in Data ProcessingLondon · United Kingdom2019–2023 · 11 papers🔬Italian Institute of TechnologyGenoa · Italy2012–2015 · 4 papersEducation 2012–2015 · PhD, PAVIS🏢AppleCupertino · United States2024–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20241 paper

2010s

20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. FOIL it! Find One mismatch between Image and Language caption (2017 · 127 citations)
    The paper asks whether language-and-vision (LaVi) models really link text to image content or mostly rely on language priors.
  2. Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization (2024 · 8 citations)
    Training large language models from random weights is slow and costly, while small models are cheap but less accurate.

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetOleksiy Ostapenko et al.2019 · 291 citations
  2. A Unified Objective for Novel Class Discovery ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetEnrico Fini et al.2021 · 195 citations
  3. FOIL it! Find One mismatch between Image and Language captionAnnual Meeting of the Association for Computational Linguistics (ACL)Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, et al.2017 · 127 citations
  4. Contrastive Self-Supervised Learning for Commonsense Reasoning ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetTassilo Klein, Moin Nabi2020 · 82 citations
  5. Scaling Smart: Accelerating Large Language Model Pre-training with Small Model InitializationarXiv:2409.12903Mohammad Samragh, Iman Mirzadeh, Keivan Alizadeh Vahid, et al.2024 · 8 citations

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 117 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/moin-nabi/