Sahib Singh

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Privacy & Security — 5 citations into it

Whom Sahib Singh trusts overall

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

1. Cynthia Dwork
2. Kaiming He
3. X. Zhang
4. Shaoqing Ren
5. Frank McSherry
6. Krishnaram Kenthapadi
7. Karen Simonyan
8. Christian Szegedy
9. Alex Krizhevsky
10. Geoffrey E. Hinton

Papers from Sahib Singh's perspective

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

Their papers

• Benchmarking Differentially Private Residual Networks for Medical Imagery (2020) — 9 citations