Robert Adolf

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Robert Adolf trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Jason Aaron Edward Weston
  9. Diederik P. Kingma
  10. Ronan Collobert

Who trusts Robert Adolf overall

  1. Udit Gupta
  2. Cody A. Coleman
  3. Peter Mattson
  4. Brandon Reagen
  5. Daniel Justus

Papers from Robert Adolf's perspective

Ordered by how strongly the researchers Robert Adolf 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. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers