Wei Chen

Computer Vision and Pattern Recognition · with Ai · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Chen trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. David Burth Kurka
  4. Andriy Mnih
  5. Geoffrey E. Hinton
  6. Ulrike von Luxburg
  7. Yoshua Bengio
  8. Dzmitry Bahdanau
  9. Johannes Ballé

Papers from Wei Chen's perspective

Ordered by how strongly the researchers Wei Chen 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. Attention is All you Need (Neural Information Processing Systems)
  3. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet classification with deep convolutional neural networks
  5. Going deeper with convolutions
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers