E. Wang

Computer Vision and Pattern Recognition · with Mrowca · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom E. Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Kaiming He
  8. Jimmy Ba
  9. Josh Tenenbaum
  10. Radford M. Neal

Who trusts E. Wang overall

  1. Sjoerd van Steenkiste
  2. Klaus Greff
  3. Aleksandar Stani'c
  4. Guillem Brasó
  5. Alvaro Sanchez-Gonzalez
  6. Lei Shi

Papers from E. Wang's perspective

Ordered by how strongly the researchers E. Wang 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. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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