Sina Shaham

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 — 88 citations into it
• Privacy & Security — 35 citations into it
• Safety, Robustness & Interpretability — 33 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Sociology and Political Science — 10 citations into it
• Statistics and Probability — 5 citations into it

Whom Sina Shaham trusts overall

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

1. Cynthia Dwork
2. Radford M. Neal
3. Geoffrey E. Hinton
4. Ian J. Goodfellow
5. Alex Krizhevsky
6. H. Brendan McMahan
7. Yoshua Bengio
8. Ilya Mironov
9. Yann LeCun
10. Diederik P. Kingma

Papers from Sina Shaham's perspective

Ordered by how strongly the researchers Sina Shaham 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Intriguing properties of neural networks

Their papers

• When Machine Learning Meets Privacy (2020) — 350 citations