R. Ke

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Model Architectures — 14 citations into it
• Natural Language Processing — 9 citations into it

Whom R. Ke trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Anirudh Goyal
4. Dzmitry Bahdanau
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Ilya Sutskever
8. Yann LeCun
9. Alex Graves
10. Kaiming He

Who trusts R. Ke overall

1. Christian Gumbsch

Papers from R. Ke's perspective

Ordered by how strongly the researchers R. Ke 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fast and Slow Learning of Recurrent Independent Mechanisms (2021) — 44 citations