George Adam

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Model Architectures — 6 citations into it
• Neural Architecture Search & AutoML — 5 citations into it

Whom George Adam trusts overall

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

1. Barret Zoph
2. Quoc V. Le
3. Mitchell P. Marcus
4. Tim Salimans
5. Geoffrey E. Hinton
6. Liam Li
7. Gabriel Bender
8. Alex Krizhevsky
9. Yoshua Bengio
10. G. Way

Who trusts George Adam overall

1. Anamika Dhillon
2. Gyanendra Kumar Verma
3. Miao Zhang

Papers from George Adam's perspective

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

Their papers

• Machine learning approaches to drug response prediction: challenges and recent progress (2020) — 326 citations
• Transparency and reproducibility in artificial intelligence (2020) — 429 citations
• Understanding Neural Architecture Search Techniques (2019) — 46 citations