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Nick M. Barnes

Nick M. Barnes has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining; often with Dongxu Li, Lingpeng Kong, Weixuan Sun.

2 papers in our library · 2022–2023

OpenAlex · ORCID · Wikidata · h-index 45 · 320 works · 10,850 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 247 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #1994

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

🎓Australian National UniversityCanberra · Australia2005–2026 · 198 papersEmployment 2019–2020 · Associate Professor, Research School of EngineeringEmployment since 2021 · Professor, School of ComputingEmployment 2024–2025 · Director (interim), School of Engineeringcurrent🔬Data61Sydney · Australia2004–2023 · 138 papers🏛️Commonwealth Scientific and Industrial Research OrganisationCanberra · Australia2012–2023 · 29 papers🎓The University of MelbourneMelbourne · Australia1995–2004 · 27 papers🤝Vision AustraliaMelbourne · Australia2014–2018 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

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

💡 Concepts 1Key ideas and methods explained on our concept pages.Large language models · 1 work

 Works by year

2020s

20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Comprehensive Overview of Large Language Models (2023 · 1,287 citations)
    The paper is a survey for researchers and practitioners who struggle to keep track of the fast-growing LLM literature.
  2. The Devil in Linear Transformer (2022 · 67 citations)
    Kernel-based linear transformers reduce attention cost from quadratic to linear in sequence length, but they usually lose accuracy compared with the standard softmax transformer.

All works

7 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. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
  2. Real Image Denoising With Feature Attention ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetSaeed Anwar, Nick M. Barnes2019 · 729 citations
  3. A Deep Journey into Super-resolution ↗ACM Computing Surveys · no summary yetSaeed Anwar, Salman Hameed Khan, Nick M. Barnes2020 · 397 citations
  4. Local Background Enclosure for RGB-D Salient Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDagan D. Feng et al.2016 · 219 citations
  5. Improved Visual-Semantic Alignment for Zero-Shot Object Detection ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShafin Rahman, Salman Hameed Khan, Nick M. Barnes2020 · 109 citations
  6. Transductive Learning for Zero-Shot Object Detection ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetShafin Rahman, Salman Hameed Khan, Nick M. Barnes2019 · 86 citations
  7. The Devil in Linear TransformerConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Qin, Xiaodong Han, Weixuan Sun, et al.2022 · 67 citations

 Co-authors here

6 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 247 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated

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