Malcolm Doering

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #26,485 of 35,345 by trust here, #27,551 by citations
• Natural Language Processing — 11 citations into it; #4,346 of 5,688 by trust here, #4,879 by citations

Whom Malcolm Doering trusts overall

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

1. Malka Rappaport Hovav
2. Marco Baroni
3. Paul R. Kingsbury
4. Beth Levin
5. Marcus Rohrbach
6. Martha Palmer

Who trusts Malcolm Doering overall

1. Joyce Yue Chai
2. Haonan Yu

Papers from Malcolm Doering's perspective

Ordered by how strongly the researchers Malcolm Doering 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Physical Causality of Action Verbs in Grounded Language Understanding (2016) — 49 citations