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Erich Elsen

2006–2026 年に発表

36
論文数
19,823
被引用数
30
h 指数
33
i10 指数

被引用数

Erich Elsen の年別被引用数1958 年: 被引用 1 件1981 年: 被引用 1 件1990 年: 被引用 1 件1996 年: 被引用 1 件1997 年: 被引用 1 件2007 年: 被引用 2 件2008 年: 被引用 6 件2009 年: 被引用 11 件2010 年: 被引用 15 件2011 年: 被引用 22 件2012 年: 被引用 33 件2013 年: 被引用 29 件2014 年: 被引用 39 件2015 年: 被引用 74 件2016 年: 被引用 177 件2017 年: 被引用 303 件2018 年: 被引用 555 件2019 年: 被引用 772 件2020 年: 被引用 1,035 件2021 年: 被引用 1,101 件2022 年: 被引用 1,087 件2023 年: 被引用 1,647 件2024 年: 被引用 1,735 件2025 年: 被引用 1,708 件2026 年: 被引用 810 件2027 年: 被引用 1 件1959〜1980 年は被引用が無いため表示していません1982〜1989 年は被引用が無いため表示していません1991〜1995 年は被引用が無いため表示していません1998〜2006 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 2,266 件、この内訳の 27.3%中国: 引用元論文 1,333 件、この内訳の 16.1%イギリス: 引用元論文 625 件、この内訳の 7.5%ドイツ: 引用元論文 390 件、この内訳の 4.7%カナダ: 引用元論文 309 件、この内訳の 3.7%日本: 引用元論文 287 件、この内訳の 3.5%韓国: 引用元論文 277 件、この内訳の 3.3%フランス: 引用元論文 227 件、この内訳の 2.7%インド: 引用元論文 203 件、この内訳の 2.5%オーストラリア: 引用元論文 178 件、この内訳の 2.1%スイス: 引用元論文 172 件、この内訳の 2.1%シンガポール: 引用元論文 156 件、この内訳の 1.9%
0%27.3%その他 22.6%

機関

分野

  • Computer Science80.7%
  • Engineering5.8%
  • Social Sciences2%
  • Medicine2%
  • Biochemistry, Genetics and Molecular Biology1.3%
  • Neuroscience1.3%
  • その他6.9%

トピック

  • Topic Modeling8.5%
  • Natural Language Processing Techniques7.4%
  • Speech Recognition and Synthesis6.1%
  • Advanced Neural Network Applications5%
  • Music and Audio Processing4.3%
  • Speech and Audio Processing4%
  • その他64.7%

共著者

全論文

検索で開く
  1. Training Compute-Optimal Large Language Models

    著者: Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals, Laurent Sifre - arXiv (Cornell University), CoRR 2022 被引用: 2,743

  2. Scaling Language Models: Methods, Analysis & Insights from Training Gopher

    著者: Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving - arXiv (Cornell University), CoRR 2021 被引用: 1,133

  3. Mixed Precision Training

    著者: Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu - ICLR (Poster) 2018 被引用: 2,457

  4. The State of Sparsity in Deep Neural Networks

    著者: Trevor Gale, Erich Elsen, Sara Hooker - arXiv (Cornell University), CoRR 2019 被引用: 624

  5. Improving Language Models by Retrieving from Trillions of Tokens

    著者: Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre - ICML 2022 被引用: 1,785

  6. Intelligent Query Answering with Contextual Knowledge for Relational Databases

    著者: Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng - SLATE 2021 被引用: 1,519

  7. Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin

    著者: Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu - ICML 2016 被引用: 3,180

  8. Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset

    著者: Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck - ICLR 2019 被引用: 596

  9. Rigging the Lottery: Making All Tickets Winners

    著者: Utku Evci, Trevor Gale, Jacob Menick, Pablo Samuel Castro, Erich Elsen - International Conference on Machine Learning, ICML 2020 被引用: 758

  10. Step-unrolled Denoising Autoencoders for Text Generation

    著者: Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord - ICLR 2022 被引用: 152

  11. Unified Scaling Laws for Routed Language Models

    著者: Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Marc'Aurelio Ranzato, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan - ICML 2022 被引用: 285

  12. Training Compute-Optimal Large Language Models

    著者: Sebastian Borgeaud, Sebastian Borgeaud, Trevor Cai, Aidan Clark, Bogdan Damoc, Diego Couto de Las Casas, Erich Elsen, Aurelia Guy, Lisa Anne Hendricks, Thomas Hennigan, Jordan Hoffmann, Arthur Mensch, Katherine Millican, George Van Den Driessche, Simon Osindero, Jack Rae, Eliza Rutherford, Laurent Sifre, Karen Simonyan, Oriol Vinyals, Oriol Vinyals, Johannes Welbl - Advances in Neural Information Processing Systems 35 2022 被引用: 56

  13. High Fidelity Speech Synthesis with Adversarial Networks

    著者: Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan - ICLR 2020 被引用: 264

  14. Parallel WaveNet: Fast High-Fidelity Speech Synthesis

    著者: Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis - ICML 2018 被引用: 913

  15. Onsets and Frames: Dual-Objective Piano Transcription

    著者: Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck - ISMIR 2018 被引用: 70

  16. The Difficulty of Training Sparse Neural Networks

    著者: Utku Evci, Fabian Pedregosa, Aidan N. Gomez, Erich Elsen - arXiv (Cornell University), CoRR 2019 被引用: 64

  17. Exploring Sparsity in Recurrent Neural Networks

    著者: Sharan Narang, Greg Diamos, Shubho Sengupta, Erich Elsen - ICLR (Poster) 2017 被引用: 328

  18. Sparse GPU Kernels for Deep Learning

    著者: Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen - SC20: International Conference for High Performance Computing 2020 被引用: 36

  19. DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow

    著者: Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro, William J. Dally - ICLR (Poster) 2017 被引用: 219

  20. On the Generalization Benefit of Noise in Stochastic Gradient Descent

    著者: Samuel L. Smith, Erich Elsen, Soham De - ICML 2020 被引用: 129

  21. End-to-End Adversarial Text-to-Speech

    著者: Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan - ICLR 2021 被引用: 197

  22. The State of Sparse Training in Deep Reinforcement Learning

    著者: Laura Graesser, Utku Evci, Erich Elsen, Pablo Samuel Castro - ICML 2022 被引用: 73

  23. Liszt: a domain specific language for building portable mesh-based PDE solvers

    著者: Zach DeVito, Niels Joubert, Francisco Palacios, Stephen Oakley, Montserrat Medina, Mike Barrientos, Erich Elsen, Frank Ham, Alex Aiken, Karthik Duraisamy, Eric Darve, Juan J. Alonso, Pat Hanrahan - IEEE International Conference on High Performance Computing, Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis 2011 被引用: 203

  24. A Practical Sparse Approximation for Real Time Recurrent Learning

    著者: Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves - arXiv (Cornell University), CoRR 2020 被引用: 13