Wonjun Hwang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wonjun Hwang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. David Berthelot
  5. X. Zhang
  6. Yoshua Bengio
  7. Yann LeCun
  8. Shaoqing Ren
  9. Diederik P. Kingma
  10. Kate Saenko

Papers from Wonjun Hwang's perspective

Ordered by how strongly the researchers Wonjun Hwang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers