Samuel G. Fadel

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #30,636 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 18 citations into it; #18,797 of 21,575 by trust here, #14,822 by citations
• Optimization & Training — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Samuel G. Fadel trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. L. V. D. van der Maaten
5. Yann LeCun
6. Alex Graves
7. Ilya Sutskever
8. J. Urgen Schmidhuber
9. Diederik P. Kingma
10. Ruslan Salakhutdinov

Who trusts Samuel G. Fadel overall

1. Giulia Vilone
2. Yao Ming
3. José Padarian
4. Richard Meyes

Papers from Samuel G. Fadel's perspective

Ordered by how strongly the researchers Samuel G. Fadel 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Visualizing the Hidden Activity of Artificial Neural Networks (2017) — 311 citations