Yichen Wu
Computer Vision and Pattern Recognition · with Huang · 2024
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it
- Optimization & Training — 9 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Yichen Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Martin Jaggi
- Geoffrey E. Hinton
- Iosif Pinelis
- Marc'Aurelio Ranzato
- Rahaf Aljundi
- Yoshua Bengio
- David Lopez-Paz
- Yann LeCun
Papers from Yichen Wu's perspective
Ordered by how strongly the researchers Yichen Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge