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Afroz Mohiuddin

Afroz Mohiuddin has 2 papers in our library, in 2020–2022; often with Adam Roberts, Aitor Lewkowycz, Andreea Gane.

2 papers in our library · 2020–2022

OpenAlex · ORCID · h-index 6 · 11 works · 1,453 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2,775 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #3740

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

🏢GoogleMountain View · United States2020–2022 · 7 papers🎓Indian Institute of Technology KanpurKanpur · India2005–2010Education 2005–2010 · Masters & Bachelor of Technology, Computer Science
🏛️Google IncMountain View · United StatesEmployment

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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

 Works by year

2020s

20221 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Rethinking Attention with Performers (2020 · 491 citations)
    The standard Transformer scales poorly to long sequences: the attention mechanism requires time and memory that grow quadratically with the number of tokens L.
  2. Scaling Up Models and Data with t5x and seqio (2022 · 130 citations)
    Training language models with hundreds of billions of parameters usually requires custom, hand-tuned infrastructure. That slows down experimentation and makes fair comparisons between models difficult. This paper presents two open-source Google libraries meant to lower that barrier.

All works

6 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. Rethinking Attention with PerformersarXiv:2009.14794Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, et al.2020 · 491 citations
  2. Model-Based Reinforcement Learning for Atari ↗arXiv (Cornell University) · no summary yetŁukasz Kaiser et al.2019 · 429 citations
  3. Scaling Up Models and Data with t5x and seqioarXiv:2203.17189Adam Roberts, Hyung Won Chung, Anselm Levskaya, et al.2022 · 130 citations
  4. Sparse is Enough in Scaling Transformers ↗arXiv (Cornell University) · no summary yetSebastian Jaszczur et al.2021 · 30 citations
  5. Q-Value Weighted Regression: Reinforcement Learning with Limited Data ↗2022 International Joint Conference on Neural Networks (IJCNN) · no summary yetPiotr Kozakowski et al.2022 · 3 citations
  6. Forecasting Deep Learning Dynamics with Applications to Hyperparameter Tuning ↗no summary yetPiotr Kozakowski, Łukasz Kaiser, Afroz Mohiuddin2019 · 2 citations

 Co-authors here

12 of 15 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 2,775 times (of the 149,439 papers whose bibliographies we read); 644 citing papers with a page here →.

Updated

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