Kaifeng Chen

Artificial Intelligence · with Eksombatchai · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Kaifeng Chen trusts overall

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

  1. William L. Hamilton
  2. Karen Simonyan

Who trusts Kaifeng Chen overall

  1. Jiaxuan You
  2. Chen Gao
  3. Johannes Klicpera
  4. William L. Hamilton
  5. Xiangnan He
  6. Weihua Hu
  7. Xiang Wang
  8. Rex Ying
  9. Hongwei Wang
  10. Le Wu

Papers from Kaifeng Chen's perspective

Ordered by how strongly the researchers Kaifeng Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers