Nadav Shamir

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #12,821 of 35,345 by trust here, #16,166 by citations
• Graph Learning — 22 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Model Architectures — 10 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom Nadav Shamir trusts overall

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

1. Taco Cohen
2. Max Welling
3. Nino Shervashidze
4. Geoffrey E. Hinton
5. Martin Simonovsky
6. Saurabh Verma
7. Sergey Ivanov
8. Risi Kondor
9. Alex Krizhevsky

Who trusts Nadav Shamir overall

1. Haggai Maron
2. Taco Cohen
3. Zhengdao Chen
4. Carl Yang
5. Vijay Prakash Dwivedi

Papers from Nadav Shamir's perspective

Ordered by how strongly the researchers Nadav Shamir 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. Backpropagation Applied to Handwritten Zip Code Recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Invariant and Equivariant Graph Networks (2018) — 576 citations