Fei Deng

Computer Vision and Pattern Recognition · with Ahn · 2020

A researcher in the Science corpus: 2 papers; trusts 122 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Deng trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Eric Crawford
  4. J. Urgen Schmidhuber
  5. Danilo Jimenez Rezende
  6. Yoshua Bengio
  7. Klaus Greff
  8. Alex Krizhevsky
  9. Kaiming He
  10. Yann LeCun

Who trusts Fei Deng overall

  1. Sjoerd van Steenkiste
  2. Klaus Greff
  3. Sungjin Ahn

Papers from Fei Deng's perspective

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

Their papers