Ching-Yun Chang

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ching-Yun Chang trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Dzmitry Bahdanau
  5. Kyunghyun Cho
  6. J. Urgen Schmidhuber
  7. Feng Li
  8. Tomas Mikolov
  9. David E. Rumelhart
  10. Alex Krizhevsky

Papers from Ching-Yun Chang's perspective

Ordered by how strongly the researchers Ching-Yun Chang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers