Geoffrey E. Hinton
Litlas には Geoffrey E. Hinton の名前で、論文 323 本、被引用 592,502 件が記録されています。
- 323
- 論文数
- 592,502
- 被引用数
- 152
- h 指数
- 295
- i10 指数
被引用数
引用元
国・地域
レユニオン 0.1% 未満、グアドループ 0.1% 未満 はこの縮尺の地図に描けないため、ここに書き出しています。
機関
分野
- Computer Science61%
- Engineering13.6%
- Medicine6.5%
- Neuroscience3.8%
- Biochemistry, Genetics and Molecular Biology3.5%
- Environmental Science1.7%
- その他9.9%
トピック
- Advanced Neural Network Applications3.8%
- Domain Adaptation and Few-Shot Learning2.8%
- Topic Modeling2.6%
- Advanced Image and Video Retrieval Techniques2.2%
- Neural Networks and Applications2.2%
- Anomaly Detection Techniques and Applications2%
- その他84.4%
共著者
- Ruslan Salakhutdinov20
- Ilya Sutskever13
- Richard S. Zemel11
- Simon Kornblith11
- Max Welling10
- Terrence J. Sejnowski10
- Peter Dayan9
- Andriy Mnih8
- David J. Fleet8
- George E. Dahl8
- Marc'Aurelio Ranzato8
- Michael Revow8
- Nicholas Frosst8
- Sara Sabour8
- Steven J. Nowlan8
- Ting Chen8
- Volodymyr Mnih8
- Abdel-rahman Mohamed7
- Christopher K. I. Williams7
- Graham W. Taylor7
- Navdeep Jaitly7
- Roland Memisevic7
- Simon Osindero7
- Yee Whye Teh7
研究ピックアップ
全論文
- Deep learning
著者: Yann LeCun, Yoshua Bengio, Geoffrey E. Hinton - Nature, Nat. 2015 被引用: 85,135
- Distilling the Knowledge in a Neural Network
著者: Geoffrey E. Hinton, Oriol Vinyals, Jeffrey Dean - arXiv (Cornell University), CoRR 2015 被引用: 16,458
- Visualizing Data using t-SNE
著者: Laurens van der Maaten, Geoffrey E. Hinton - Journal of Machine Learning Research 2008 被引用: 35,683
- ImageNet Classification with Deep Convolutional Neural Networks
著者: Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton - Communications of the ACM, Commun. ACM 2012 被引用: 130,303
- Learning Representations by Back-Propagating Errors
著者: David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams - Nature 1986 被引用: 32,168
- Layer Normalization
著者: Lei Jimmy Ba, Jamie Ryan Kiros, Geoffrey E. Hinton - arXiv (Cornell University), CoRR 2016 被引用: 6,097
- Dropout: a simple way to prevent neural networks from overfitting
著者: Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov - http://www.cs.toronto.edu/%7Ersalakhu/papers/srivastava14a.pdf, J. Mach. Learn. Res. 2014 被引用: 34,210
- Reducing the Dimensionality of Data with Neural Networks
著者: Geoffrey E. Hinton, Ruslan Salakhutdinov - Science 2006 被引用: 21,368
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
著者: Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean - ICLR (Poster) 2017 被引用: 5,202
- A Simple Framework for Contrastive Learning of Visual Representations
著者: Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton - ICML 2020 被引用: 25,398
- Adaptive Mixtures of Local Experts
著者: Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, Geoffrey E. Hinton - Neural Computation, Neural Comput. 1991 被引用: 5,316
- A Fast Learning Algorithm for Deep Belief Nets
著者: Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh - Neural Computation, Neural Comput. 2006 被引用: 16,607
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
著者: Geoffrey E. Hinton, Li Deng, Dong Yu, George E. Dahl, Abdelrahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N. Sainath, Brian E. D. Kingsbury - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2012 被引用: 10,453
- Speech Recognition with Deep Recurrent Neural Networks
著者: Alex Graves, Abdel-rahman Mohamed, Geoffrey E. Hinton - IEEE International Conference on Acoustics, ICASSP 2013 被引用: 8,969
- Improving neural networks by preventing co-adaptation of feature detectors
著者: Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov - arXiv (Cornell University), CoRR 2012 被引用: 6,640
- Rectified Linear Units Improve Restricted Boltzmann Machines
著者: Vinod Nair, Geoffrey E. Hinton - International Conference on Machine Learning, ICML 2010 被引用: 18,900
- Training Products of Experts by Minimizing Contrastive Divergence
著者: Geoffrey E. Hinton - Neural Computation, Neural Comput. 2002 被引用: 5,049
- The Forward-Forward Algorithm: Some Preliminary Investigations
著者: Geoffrey E. Hinton - arXiv (Cornell University), CoRR 2022 被引用: 288
- Backpropagation and the brain
著者: Timothy Lillicrap, Adam Santoro, Luke Marris, Colin J. Akerman, Geoffrey E. Hinton - Nature reviews. Neuroscience 2020 被引用: 953
- When Does Label Smoothing Help?
著者: Rafael Müller, Simon Kornblith, Geoffrey E. Hinton - Neural Information Processing Systems, NeurIPS 2019 被引用: 2,424
- Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
著者: Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton - ICLR 2023 被引用: 479
- Deep learning for AI
著者: Yoshua Bengio, Yann LeCun, Geoffrey E. Hinton - Communications of the ACM, Commun. ACM 2021 被引用: 657
- Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
著者: Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Nenad Tomašev, Jovana Mitrović, Patricia H. Strachan, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Walker, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zach Beaver, Fiona Ryan, Justin D. Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Greg S. Corrado, Dale R. Webster, David J. Fleet, Geoffrey E. Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan - Nature Biomedical Engineering 2023 被引用: 253
- Pix2seq: A Language Modeling Framework for Object Detection
著者: Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton - ICLR 2022 被引用: 455