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Raia Hadsell

2003–2025 年に発表

87
論文数
32,191
被引用数
42
h 指数
61
i10 指数

被引用数

Raia Hadsell の年別被引用数1967 年: 被引用 1 件1969 年: 被引用 3 件1971 年: 被引用 1 件1973 年: 被引用 1 件1984 年: 被引用 1 件1986 年: 被引用 1 件1987 年: 被引用 4 件1990 年: 被引用 2 件1998 年: 被引用 3 件1999 年: 被引用 1 件2000 年: 被引用 1 件2003 年: 被引用 2 件2004 年: 被引用 4 件2005 年: 被引用 14 件2006 年: 被引用 23 件2007 年: 被引用 43 件2008 年: 被引用 41 件2009 年: 被引用 71 件2010 年: 被引用 61 件2011 年: 被引用 61 件2012 年: 被引用 76 件2013 年: 被引用 80 件2014 年: 被引用 92 件2015 年: 被引用 155 件2016 年: 被引用 284 件2017 年: 被引用 593 件2018 年: 被引用 1,004 件2019 年: 被引用 1,746 件2020 年: 被引用 2,446 件2021 年: 被引用 3,034 件2022 年: 被引用 2,832 件2023 年: 被引用 3,143 件2024 年: 被引用 3,075 件2025 年: 被引用 2,507 件2026 年: 被引用 844 件2027 年: 被引用 1 件1968 年は被引用が無いため表示していません1970 年は被引用が無いため表示していません1972 年は被引用が無いため表示していません1974〜1983 年は被引用が無いため表示していません1985 年は被引用が無いため表示していません1988〜1989 年は被引用が無いため表示していません1991〜1997 年は被引用が無いため表示していません2001〜2002 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・地域の世界地図中国: 引用元論文 6,268 件、この内訳の 27.9%アメリカ合衆国: 引用元論文 4,565 件、この内訳の 20.3%イギリス: 引用元論文 1,488 件、この内訳の 6.6%ドイツ: 引用元論文 976 件、この内訳の 4.4%カナダ: 引用元論文 691 件、この内訳の 3.1%オーストラリア: 引用元論文 680 件、この内訳の 3%韓国: 引用元論文 659 件、この内訳の 2.9%フランス: 引用元論文 579 件、この内訳の 2.6%シンガポール: 引用元論文 544 件、この内訳の 2.4%イタリア: 引用元論文 526 件、この内訳の 2.3%日本: 引用元論文 504 件、この内訳の 2.3%インド: 引用元論文 482 件、この内訳の 2.2%
0%27.9%その他 20%

機関

分野

  • Computer Science73.5%
  • Engineering12.8%
  • Neuroscience2.8%
  • Medicine2.2%
  • Earth and Planetary Sciences1.4%
  • Biochemistry, Genetics and Molecular Biology1.2%
  • その他6.1%

トピック

  • Domain Adaptation and Few-Shot Learning9.8%
  • Multimodal Machine Learning Applications5.9%
  • Advanced Neural Network Applications3.3%
  • Topic Modeling3.2%
  • Reinforcement Learning in Robotics3.1%
  • Advanced Image and Video Retrieval Techniques3.1%
  • その他71.6%

共著者

全論文

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  1. Overcoming catastrophic forgetting in neural networks

    著者: James Kirkpatrick, Razvan Pascanu, Neil C. Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A. Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, Raia Hadsell - National Academy of Sciences, Proceedings of the National Academy of Sciences 2017 被引用: 7,158

  2. Dimensionality Reduction by Learning an Invariant Mapping

    著者: Raia Hadsell, Sumit Chopra, Yann LeCun - IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), CVPR (2) 2006 被引用: 5,210

  3. Progressive Neural Networks

    著者: Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell - arXiv (Cornell University), CoRR 2016 被引用: 2,218

  4. Learning a Similarity Metric Discriminatively, with Application to Face Verification

    著者: Sumit Chopra, Raia Hadsell, Yann LeCun - IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), CVPR (1) 2005 被引用: 3,935

  5. A Generalist Agent

    著者: Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas - Trans. Mach. Learn. Res. 2022 被引用: 613

  6. Skilful precipitation nowcasting using deep generative models of radar

    著者: Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed - Nature, Nat. 2021 被引用: 964

  7. Embracing Change: Continual Learning in Deep Neural Networks

    著者: Raia Hadsell, Dushyant Rao, Andrei A. Rusu, Razvan Pascanu - Trends in Cognitive Sciences 2020 被引用: 454

  8. Policy Distillation

    著者: Andrei A. Rusu, Sergio Gomez Colmenarejo, Çaglar Gülçehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell - ICLR (Poster) 2016 被引用: 401

  9. RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation

    著者: Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess - arXiv (Cornell University), CoRR 2023 被引用: 130

  10. Vector-based navigation using grid-like representations in artificial agents

    著者: Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy P. Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran - Nature, Nat. 2018 被引用: 743

  11. A Tutorial on Energy-Based Learning

    著者: Yann LeCun, Sumit Chopra, Raia Hadsell, Aurelio Ranzato, Fu Jie Huang - http://yann.lecun.com/exdb/publis/psgz/lecun-06.ps.gz 2006 被引用: 794

  12. Energy-Based Models

    著者: Yann LeCun, Sumit Chopra, Raia Hadsell, Marc’Aurelio Ranzato, Fu Jie Huang - The MIT Press eBooks 2007 被引用: 220

  13. The limits and potentials of deep learning for robotics

    著者: Suenderhauf, Niko, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke - 2018 被引用: 513

  14. Meta-Learning with Latent Embedding Optimization

    著者: Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell - ICLR (Poster) 2019 被引用: 1,522

  15. Barkour: Benchmarking Animal-level Agility with Quadruped Robots

    著者: Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan - arXiv (Cornell University), CoRR 2023 被引用: 61

  16. Progress & Compress: A scalable framework for continual learning

    著者: Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell - ICML 2018 被引用: 1,052

  17. RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

    著者: Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz Gustavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas - arXiv (Cornell University), CoRR 2024 被引用: 52

  18. Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

    著者: Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess - Science Robotics, Sci. Robotics 2024 被引用: 148

  19. Learning to Navigate in Complex Environments

    著者: Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell - ICLR (Poster) 2017 被引用: 958

  20. Reinforcement and Imitation Learning for Diverse Visuomotor Skills

    著者: Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess - Robotics: Science and Systems XIV 2018 被引用: 217

  21. Stabilizing Transformers for Reinforcement Learning

    著者: Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Çaglar Gülçehre, Siddhant M. Jayakumar, Max Jaderberg, Raphaël Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell - International Conference on Machine Learning, ICML 2020 被引用: 488

  22. Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors

    著者: Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess - arXiv (Cornell University), CoRR 2022 被引用: 42

  23. RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

    著者: Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz - IEEE International Conference on Robotics and Automation (ICRA) 2024 被引用: 31

  24. The StreetLearn Environment and Dataset

    著者: Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell - arXiv (Cornell University), CoRR 2019 被引用: 58