Weirui Ye

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 152 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Reinforcement Learning — 34 citations into it
• Representation & Self-Supervised Learning — 28 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Weirui Ye trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Richard S. Sutton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Diederik P. Kingma
7. John Schulman
8. Yann LeCun
9. Volodymyr Mnih
10. Ilya Sutskever

Who trusts Weirui Ye overall

1. Nicklas Hansen
2. Vincent Micheli
3. Andy Zhou
4. Xiaolong Wang
5. Randall Balestriero
6. Eloi Alonso
7. Hao Su

Papers from Weirui Ye's perspective

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

Their papers

• Mastering Atari Games with Limited Data (2021) — 335 citations
• Transferable Attention for Domain Adaptation (2019) — 314 citations