D. Gutfreund

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 242 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom D. Gutfreund trusts overall

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

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

Who trusts D. Gutfreund overall

  1. Ali Borji

Papers from D. Gutfreund's perspective

Ordered by how strongly the researchers D. Gutfreund 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. ImageNet: A large-scale hierarchical image database
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers