Jonathon Cai

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #18,977 of 35,345 by trust here, #12,974 by citations
• Model Architectures — 6 citations into it

Whom Jonathon Cai trusts overall

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

1. Ilya Sutskever
2. Oriol Vinyals
3. Scott E. Reed
4. Lukasz Kaiser
5. Wojciech Zaremba
6. Alex Graves
7. Geoffrey E. Hinton
8. Tomas Mikolov

Who trusts Jonathon Cai overall

1. Xinyun Chen
2. Jorge Armando Mendez Mendez
3. Danfei Xu
4. Jianpeng Cheng
5. Richard Shin
6. Paul Christiano
7. Shao-Hua Sun
8. Dawn Song
9. Ke Wang
10. Eric Eaton

Papers from Jonathon Cai's perspective

Ordered by how strongly the researchers Jonathon Cai 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Neural Turing Machines
7. Attention is All you Need (Neural Information Processing Systems)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Making Neural Programming Architectures Generalize via Recursion (2017) — 153 citations