Dawn Chen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #33,003 of 35,345 by trust here, #17,110 by citations
• Computer Vision and Pattern Recognition — 34 citations into it; #20,207 of 21,575 by trust here, #11,498 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Model Architectures — 8 citations into it

Whom Dawn Chen trusts overall

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

1. Geoffrey E. Hinton
2. R. Caruana
3. Sebastian Thrun
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Andrew Zisserman
8. François Chollet
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Dawn Chen overall

1. Michael Crawshaw

Papers from Dawn Chen's perspective

Ordered by how strongly the researchers Dawn Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Et al
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Which Tasks Should Be Learned Together in Multi-task Learning? (2019) — 689 citations