Zac Cranko

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Zac Cranko trusts overall

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

1. Takeru Miyato
2. Yuichi Yoshida
3. Jose H. Blanchet
4. Henry Gouk
5. Aleksander Madry
6. Moustapha Cissé
7. Christian Szegedy
8. Ian J. Goodfellow
9. Aman Sinha
10. Geoffrey E. Hinton

Papers from Zac Cranko's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Intriguing properties of neural networks
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Lipschitz Networks and Distributional Robustness (2018) — 12 citations