Simon King

Artificial Intelligence · with Wu · 2016

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #11,448 of 35,345 by trust here, #19,873 by citations
• Signal Processing — 12 citations into it; #2,101 of 7,572 by trust here, #3,566 by citations
• Model Architectures — 7 citations into it; #863 of 2,278 by trust here, #1,693 by citations
• Speech & Audio — 7 citations into it; #423 of 1,076 by trust here, #738 by citations

Whom Simon King trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Heiga Zen
2. Yoshua Bengio
3. Razvan Pascanu
4. Keiichi Tokuda
5. Rafal Józefowicz
6. Ilya Sutskever
7. Geoffrey E. Hinton
8. J. Urgen Schmidhuber
9. Junyoung Chung
10. Alex Graves

Who trusts Simon King overall

1. Yonatan Belinkov
2. Igor Jauk
3. Zhizheng Wu
4. James R. Glass
5. Guoxiang Zhou
6. Heiga Zen
7. Tomoki Hayashi

Papers from Simon King's perspective

Ordered by how strongly the researchers Simon King trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Investigating gated recurrent neural networks for speech synthesis (2016) — 98 citations