David A. Wagner

Computer Vision and Pattern Recognition · with Chen · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 170 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David A. Wagner trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Ross B. Girshick
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Yann LeCun
  9. Alec Radford
  10. Andrew Zisserman

Papers from David A. Wagner's perspective

Ordered by how strongly the researchers David A. Wagner 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers