Cathy Wu

Artificial Intelligence · with Anjum · 2021

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Multimodal Learning — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Cathy Wu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yann LeCun
5. Alex Krizhevsky
6. Chelsea Finn
7. Robert Tibshirani
8. Kaiming He
9. Jimmy Ba
10. Oriol Vinyals

Papers from Cathy Wu's perspective

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

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. GENERATIVE ADVERSARIAL NETS
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• SMIL: Multimodal Learning with Severely Missing Modality (2021) — 436 citations
• It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process (2021) — 113 citations