Yue Wu

Artificial Intelligence · with Salakhutdinov · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 267 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 94 citations into it
• Computer Vision and Pattern Recognition — 47 citations into it
• Reinforcement Learning — 33 citations into it
• Representation & Self-Supervised Learning — 22 citations into it
• Optimization & Training — 21 citations into it
• Statistical Learning Theory — 17 citations into it
• Model Architectures — 15 citations into it
• Computational Mechanics — 8 citations into it

Whom Yue Wu trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Richard S. Sutton
7. Yann LeCun
8. R´emi Munos
9. Ilya Sutskever
10. Alex Graves

Who trusts Yue Wu overall

1. Scott Emmons
2. Tianhe Yu
3. Wei Xiong
4. Yijie Lin

Papers from Yue Wu's perspective

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

Their papers

• Towards Understanding the Spectral Bias of Deep Learning (2019) — 313 citations
• Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning (2021) — 230 citations
• Fractional Fourier transforms on $L^p$ and applications (2020) — 72 citations
• Self-supervised Learning from a Multi-view Perspective (2020) — 234 citations