Cheng-Hung Hu

Artificial Intelligence · 2021

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

Subfields

Whom Cheng-Hung Hu trusts overall

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

  1. Sergey Ioffe
  2. Ryuichi Yamamoto
  3. Jan Chorowski
  4. Aäron van den Oord
  5. David Snyder
  6. Yoshua Bengio
  7. Dzmitry Bahdanau
  8. Geoffrey E. Hinton
  9. Alex Graves
  10. Diederik P. Kingma

Papers from Cheng-Hung Hu's perspective

Ordered by how strongly the researchers Cheng-Hung Hu 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. WaveNet: A Generative Model for Raw Audio
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers