Steven J. Rennie

Computer Vision and Pattern Recognition · 2010–2021

A researcher in the Science corpus: 6 papers; trusts 289 researchers and is trusted by 247 researchers here, as inferred from the citation graph.

Subfields

Whom Steven J. Rennie trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Kaiming He
  5. Ronald J. Williams
  6. Oriol Vinyals
  7. Alex Krizhevsky
  8. Richard S. Sutton
  9. Ilya Sutskever
  10. Sepp Hochreiter

Who trusts Steven J. Rennie overall

  1. Marcella Cornia
  2. Mohit Bansal
  3. Ruotian Luo
  4. Ramakanth Pasunuru
  5. Jiuxiang Gu
  6. Lorenzo Baraldi
  7. Ting Yao
  8. Peter Anderson
  9. Matteo Stefanini
  10. Huan Ling

Papers from Steven J. Rennie's perspective

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

Their papers