Jonathan Peck

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 7 citations into it

Whom Jonathan Peck trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Kaiming He
6. Karen Simonyan
7. Yoshua Bengio
8. Sergey Ioffe
9. Ilya Sutskever
10. Ian J. Goodfellow

Who trusts Jonathan Peck overall

1. Yusuke Tsuzuku
2. Alhussein Fawzi
3. Issei Sato
4. Hamza Fawzi

Papers from Jonathan Peck's perspective

Ordered by how strongly the researchers Jonathan Peck 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Lower bounds on the robustness to adversarial perturbations (2017) — 69 citations