Keng-hao Chang

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Keng-hao Chang trusts overall

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

  1. Matthew D. Zeiler
  2. Thomas Hofmann
  3. Sepp Hochreiter
  4. Dzmitry Bahdanau
  5. Yoshua Bengio
  6. J. Urgen Schmidhuber
  7. Geoffrey E. Hinton
  8. T. Landauer
  9. Kyunghyun Cho
  10. Ilya Sutskever

Who trusts Keng-hao Chang overall

  1. Chuhan Wu
  2. Mingxiao An
  3. Fangzhao Wu

Papers from Keng-hao Chang's perspective

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

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

Their papers