David Cote

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #29,062 of 35,345 by trust here, #34,943 by citations
• Model Architectures — 7 citations into it
• Signal Processing — 7 citations into it; #6,228 of 7,572 by trust here, #7,486 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom David Cote trusts overall

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

1. Kaiming He
2. Jinsung Yoon
3. Jacob Devlin
4. Geoffrey E. Hinton
5. Arun Venkatraman
6. Diederik P. Kingma
7. Ashish Vaswani
8. X. Zhang
9. Yoshua Bengio
10. Alex Krizhevsky

Who trusts David Cote overall

1. Juan Miguel Lopez Alcaraz

Papers from David Cote's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• SAITS: Self-Attention-based Imputation for Time Series (2022) — 567 citations