Amir Khosrowshahi

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #34,971 of 35,345 by trust here, #21,316 by citations
• Computer Vision and Pattern Recognition — 21 citations into it

Whom Amir Khosrowshahi trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton

Who trusts Amir Khosrowshahi overall

1. Chaopeng Shen

Papers from Amir Khosrowshahi's perspective

Ordered by how strongly the researchers Amir Khosrowshahi 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. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. Understanding the difficulty of training deep feedforward neural networks
9. Gradient-based learning applied to document recognition
10. Long Short-Term Memory

Their papers

• Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets (2016) — 387 citations
• Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks (2017) — 278 citations