Saurabh Saxena

Computer Vision and Pattern Recognition · with Fleet · 2016–2022

A researcher in the Science corpus: 8 papers; trusts 1,079 researchers and is trusted by 1,063 researchers here, as inferred from the citation graph.

Subfields

Whom Saurabh Saxena trusts overall

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

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

Who trusts Saurabh Saxena overall

  1. Barret Zoph
  2. Ting-Li Chen
  3. Liang-Chieh Chen
  4. Arber Zela
  5. Quoc V. Le
  6. Tom Véniat
  7. Esteban Real
  8. Zhaobai Zhong
  9. Andrew Brock
  10. Yanan Sun

Papers from Saurabh Saxena's perspective

Ordered by how strongly the researchers Saurabh Saxena 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers