Chris Cook

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Model Architectures — 28 citations into it
• Natural Language Processing — 10 citations into it
• Optimization & Training — 10 citations into it

Whom Chris Cook trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Sepp Hochreiter
5. Kaiming He
6. Alex Krizhevsky
7. Quoc V. Le
8. Yann LeCun
9. Ilya Sutskever
10. J. Urgen Schmidhuber

Papers from Chris Cook's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN (2018) — 824 citations