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Mike Chrzanowski

Mike Chrzanowski has 2 papers in our library, in 2015–2019, most of them on Speech & spoken language, Evaluation & benchmarks, English; often with Adam Coates, Angeliki Lazaridou, Bryan Catanzaro.

2 papers in our library · 2015–2019

OpenAlex · h-index 10 · 24 works · 2,987 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 459 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #1301

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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.

 Works by year

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin (2015 · 2,341 citations)
    Conventional speech recognizers are assembled from many hand-tuned parts, including feature extractors, acoustic, pronunciation and language models, and speaker adaptation.
  2. Learning and Evaluating General Linguistic Intelligence (2019 · 248 citations)
    The authors argue that standard leaderboard scores overstate progress in NLP. They propose a notion of "general linguistic intelligence": a system's capacity to reuse what it already knows about a language's words, grammar, meaning and usage so it can master unfamiliar tasks from few examples. To measure this, they…

All works

3 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. Deep Speech 2: End-to-End Speech Recognition in English and MandarinarXiv:1512.02595Dario Amodei, Rishita Anubhai, Eric Battenberg, et al.2015 · 2,341 citations
  2. Learning and Evaluating General Linguistic IntelligencearXiv:1901.11373Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor, et al.2019 · 248 citations
  3. Relational recurrent neural networks ↗arXiv (Cornell University) · no summary yetAdam Santoro et al.2018 · 43 citations

 Co-authors here

12 of 17 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 459 times (of the 149,439 papers whose bibliographies we read); 75 citing papers with a page here →.

Updated

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