Ke Chen

Signal Processing · with Berg-Kirkpatrick · 2022

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Chen trusts overall

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

  1. Karol J. Piczak
  2. Pete Warden
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Mingxing Tan
  8. Quoc V. Le
  9. Alex Krizhevsky
  10. Kaiming He

Who trusts Ke Chen overall

  1. Xinhao Mei
  2. Haohe Liu
  3. Po-Yao (Bernie) Huang
  4. Soham Deshmukh
  5. Chutong Meng

Papers from Ke Chen's perspective

Ordered by how strongly the researchers Ke Chen 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers