Bing Deng

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 214 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bing Deng trusts overall

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

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

Who trusts Bing Deng overall

  1. Dahun Kim
  2. Jianfeng Feng
  3. Dilip Ravi Kiran

Papers from Bing Deng's perspective

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

Their papers