Che-Ping Tsai

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Che-Ping Tsai trusts overall

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

  1. Ilya Sutskever
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Alex Graves
  6. Yu-An Chung
  7. Tomas Mikolov
  8. Kaiming He
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Che-Ping Tsai overall

  1. Alexei Baevski

Papers from Che-Ping Tsai's perspective

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

Their papers