Vijay Iyengar

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Safety, Robustness & Interpretability — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Vijay Iyengar trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Jimmy Ba
4. Zachary Chase Lipton
5. Yoshua Bengio
6. Alex Krizhevsky
7. Yann LeCun
8. Diederik P. Kingma
9. Ilya Sutskever
10. Richard S. Sutton

Papers from Vijay Iyengar's perspective

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

Their papers

• TIP: Typifying the Interpretability of Procedures (2017) — 35 citations