Jason V. Davis

2006

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 19 researchers here, as inferred from the citation graph.

Whom Jason V. Davis trusts overall

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

  1. Kilian Q. Weinberger
  2. Amir Globerson
  3. Sumit Chopra
  4. Sugato Basu
  5. Eric P. Xing
  6. Sam T. Roweis
  7. Andrew Y. Ng
  8. Lawrence K. Saul
  9. Yann LeCun
  10. Geoffrey E. Hinton

Who trusts Jason V. Davis overall

  1. Brian Kulis
  2. Aurélien Bellet
  3. Shengcai Liao
  4. Amaury Habrard
  5. Kristen Grauman
  6. Gabriella Csurka
  7. Wouter M. Kouw
  8. Yen-Chang Hsu
  9. Kate Saenko
  10. Rong Jin

Papers from Jason V. Davis's perspective

Ordered by how strongly the researchers Jason V. Davis 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. Gradient-based learning applied to document recognition
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers