Matthew Yu

Computer Vision and Pattern Recognition · 2020–2024

A researcher in the Science corpus: 4 papers; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Yu trusts overall

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

  1. Alex Krizhevsky

Papers from Matthew Yu's perspective

Ordered by how strongly the researchers Matthew Yu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Et al
  7. Microsoft COCO: Common Objects in Context
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers