Ke Wu

Artificial Intelligence · with Mansour · 2020

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Representation & Self-Supervised Learning — 28 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Optimization & Training — 5 citations into it

Whom Ke Wu trusts overall

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

1. Mehryar Mohri
2. Kaiming He
3. Yurii E. Nesterov
4. Boqing Gong
5. Thomas Hofmann
6. Geoffrey E. Hinton
7. Shai Ben-David
8. Alex Krizhevsky
9. Yaroslav Ganin
10. Yoshua Bengio

Papers from Ke Wu's perspective

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

Their papers

• A Theory of Multiple-Source Adaptation with Limited Target Labeled Data (2020) — 29 citations