Nick C. Dexter

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Nick C. Dexter trusts overall

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

1. Mukund Sundararajan
2. Scott M. Lundberg
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Daniel Quang
6. Avanti Shrikumar
7. Alex Krizhevsky
8. Su-In Lee
9. Yoshua Bengio
10. Ankur Taly

Papers from Nick C. Dexter's perspective

Ordered by how strongly the researchers Nick C. Dexter trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Obtaining genetics insights from deep learning via explainable artificial intelligence (2022) — 351 citations