Chia-Yu Chen

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chia-Yu Chen trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Yoshua Bengio
  7. Suyog Gupta
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Ross B. Girshick

Who trusts Chia-Yu Chen overall

  1. Karanbir Singh Chahal
  2. Yuanming Shi
  3. Keshav Santhanam
  4. Yimin Jiang
  5. Manraj Singh Grover
  6. Xiao Sun
  7. Kai Yang

Papers from Chia-Yu Chen's perspective

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

Their papers