Yunshu Du

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Reinforcement Learning — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Optimization & Training — 8 citations into it

Whom Yunshu Du trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Ronald J. Williams
5. Karen Simonyan
6. Volodymyr Mnih
7. Yoshua Bengio
8. Ben J. A. Kröse
9. Ilya Sutskever
10. X. Zhang

Who trusts Yunshu Du overall

1. Eunbyung Park
2. Jacob Jackson
3. Xingyu Lin
4. Ruihan Yang
5. Tianhe Yu
6. John Schulman
7. Junier B. Oliva
8. Michael Crawshaw
9. Huazhe Xu
10. Harjatin Singh Baweja

Papers from Yunshu Du's perspective

Ordered by how strongly the researchers Yunshu Du 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Adapting Auxiliary Losses Using Gradient Similarity (2018) — 187 citations