Michael Thompson

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Michael Thompson trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton

Papers from Michael Thompson's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
4. A Fast Learning Algorithm for Deep Belief Nets
5. Et al
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Recurrent neural network based language model
8. Greedy Layer-Wise Training of Deep Networks
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Multi-layer Representation Learning for Medical Concepts (2016) — 540 citations