S. S. Iyengar

Artificial Intelligence · with Baral · 2018

A researcher in the Science corpus: 2 papers; trusts 127 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 91 citations into it; #30,540 of 35,345 by trust here, #18,186 by citations
• Computer Vision and Pattern Recognition — 69 citations into it
• Natural Language Processing — 26 citations into it
• Information Systems — 20 citations into it; #7,271 of 8,771 by trust here, #8,676 by citations
• Optimization & Training — 14 citations into it
• Recommender Systems — 7 citations into it
• ML Systems & Hardware — 5 citations into it

Whom S. S. Iyengar trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Kaiming He
5. Yoon Kim
6. Yann LeCun
7. Alex Krizhevsky
8. Ross B. Girshick
9. Diederik P. Kingma
10. Tomas Mikolov

Who trusts S. S. Iyengar overall

1. Yongfeng Zhang

Papers from S. S. Iyengar's perspective

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

Their papers

• ReEL: Review Aware Explanation of Location Recommendation (2018) — 37 citations
• A Survey on Deep Learning (2018) — 912 citations