Sheheryar Zaidi

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Neural Architecture Search & AutoML — 18 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 10 citations into it

Whom Sheheryar Zaidi trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Barret Zoph
4. Kaiming He
5. Karen Simonyan
6. Quoc V. Le
7. Yoshua Bengio
8. Ilya Sutskever
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Sheheryar Zaidi overall

1. Florian Wenzel
2. Moloud Abdar

Papers from Sheheryar Zaidi's perspective

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

Their papers

• Neural Ensemble Search for Performant and Calibrated Predictions (2020) — 41 citations