Will Kay
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 1,442 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it; #1,131 of 21,575 by trust here, #654 by citations
- Artificial Intelligence — 24 citations into it; #1,056 of 35,345 by trust here, #801 by citations
- Natural Language Processing — 15 citations into it; #510 of 5,688 by trust here, #327 by citations
- Model Architectures — 10 citations into it
Whom Will Kay trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Sergey Ioffe
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
- Christian Szegedy
Who trusts Will Kay overall
- Rohit Girdhar
- Limin Wang
- Andrew Zisserman
- Chen Sun
- Du Tran
- X. Wang
- Cordelia Schmid
- Yi Yang
- Christoph Feichtenhofer
- João Carreira
Papers from Will Kay's perspective
Ordered by how strongly the researchers Will Kay trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Teaching Machines to Read and Comprehend (2015) — 3,880 citations
- The Kinetics Human Action Video Dataset (2017) — 4,530 citations