Yu-Chiang Frank Wang

Computer Vision and Pattern Recognition · 1 papers · 2022

A researcher in the Science corpus: 1 paper; trusts 139 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu-Chiang Frank Wang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yann LeCun
  7. Ilya Sutskever
  8. Aäron van den Oord
  9. Oriol Vinyals
  10. Ross B. Girshick

Papers from Yu-Chiang Frank Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. GENERATIVE ADVERSARIAL NETS
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers