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Computer Science

D-Index
53
Citations
14762
World Ranking
4730
National Ranking
2200

Research.com Recognitions

  • 2012 - ACM Senior Member
  • 1971 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Donald Metzler is a researcher affiliated with Google in the United States, specializing in the field of Computer Science. Their work spans multiple subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Information Systems and Management, and Signal Processing.

Their primary research topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Recommender Systems and Techniques
  • Personal Information Management and User Behavior

Donald Metzler has contributed extensively to the academic community with 115 publications in Computer Science. A significant number of their papers-42 in total-have appeared on arXiv (Cornell University). Other venues for their research include ACM SIGIR Forum, ACM Transactions on Information Systems, ACM Computing Surveys, and the Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

Their recent publications include:

  • Emergent Abilities of Large Language Models (2022), published in arXiv (Cornell University)
  • Efficient Transformers: A Survey (2022), published in ACM Computing Surveys
  • Efficient Transformers: A Survey (2020), published in arXiv (Cornell University)
  • Synthesizer: Rethinking Self-Attention in Transformer Models (2020), published in arXiv (Cornell University)
  • Long Range Arena: A Benchmark for Efficient Transformers (2020), published in arXiv (Cornell University)

Among frequent collaborators are Yi Tay, Dara Bahri, Vinh Q. Tran, Jai Prakash Gupta, and Mostafa Dehghani. They have coauthored multiple research papers with these colleagues, with the highest number of joint works being with Yi Tay.

Donald Metzler has been recognized as an ACM Senior Member since 2012 and was awarded a fellowship from the John Simon Guggenheim Memorial Foundation in 1971.

Best Publications

  • Emergent Abilities of Large Language Models

    Unknown

  • Search Engines: Information Retrieval in Practice

    Bruce Croft;Donald Metzler;Trevor Strohman

  • A Markov random field model for term dependencies

    Donald Metzler;W. Bruce Croft

  • Efficient Transformers: A Survey

    Yi Tay;Mostafa Dehghani;Dara Bahri;Donald Metzler

  • Linear feature-based models for information retrieval

    Donald Metzler;W. Bruce Croft

  • Similarity measures for short segments of text

    Donald Metzler;Susan Dumais;Christopher Meek

  • Combining the language model and inference network approaches to retrieval

    Donald Metzler;W. Bruce Croft

  • Learning to Rank with Selection Bias in Personal Search

    Xuanhui Wang;Michael Bendersky;Donald Metzler;Marc Najork

  • Latent concept expansion using markov random fields

    Donald Metzler;W. Bruce Croft

  • Position Bias Estimation for Unbiased Learning to Rank in Personal Search

    Xuanhui Wang;Nadav Golbandi;Michael Bendersky;Donald Metzler

  • Long Range Arena : A Benchmark for Efficient Transformers

    Yi Tay;Mostafa Dehghani;Samira Abnar;Yikang Shen

  • Synthesizer: Rethinking Self-Attention in Transformer Models

    Yi Tay;Dara Bahri;Donald Metzler;Da-Cheng Juan

  • A cascade ranking model for efficient ranked retrieval

    Lidan Wang;Jimmy Lin;Donald Metzler

  • Improving the estimation of relevance models using large external corpora

    Fernando Diaz;Donald Metzler

  • Similarity measures for tracking information flow

    Donald Metzler;Yaniv Bernstein;W. Bruce Croft;Alistair Moffat

  • Learning concept importance using a weighted dependence model

    Michael Bendersky;Donald Metzler;W. Bruce Croft

  • Analysis of Statistical Question Classification for Fact-Based Questions

    Donald Metzler;W. Bruce Croft

  • A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

    Unknown

  • Improving search relevance for implicitly temporal queries

    Donald Metzler;Rosie Jones;Fuchun Peng;Ruiqiang Zhang

  • Proceedings of the 7th ACM international conference on Web search and data mining

    Ben Carterette;Fernando Diaz;Carlos Castillo;Donald Metzler

  • Online expansion of rare queries for sponsored search

    Andrei Broder;Peter Ciccolo;Evgeniy Gabrilovich;Vanja Josifovski

  • Structured Event Retrieval over Microblog Archives

    Donald Metzler;Congxing Cai;Eduard Hovy

  • Sparse Sinkhorn Attention

    Yi Tay;Dara Bahri;Liu Yang;Donald Metzler

Frequent Co-Authors

Yi Tay
Yi Tay Google (United States)
W. Bruce Croft
W. Bruce Croft University of Massachusetts Amherst
Xuanhui Wang
Xuanhui Wang Google (United States)
Michael Bendersky
Michael Bendersky Google (United States)
Evgeniy Gabrilovich
Evgeniy Gabrilovich Google (United States)
Marc Najork
Marc Najork Google (United States)
Andrei Z. Broder
Andrei Z. Broder Google (United States)
Jimmy Lin
Jimmy Lin University of Waterloo
Fernando Diaz
Fernando Diaz Microsoft (United States)

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