Chia-Chun Hung

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Chia-Chun Hung trusts overall

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

  1. Diederik P. Kingma
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Richard S. Sutton
  6. Kaiming He
  7. Danilo Jimenez Rezende
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Chia-Chun Hung overall

  1. Andrew Kyle Lampinen
  2. Karol Gregor
  3. David R Ha
  4. Danijar Hafner
  5. David Raposo
  6. Cosmin Paduraru
  7. Gary F. Marcus
  8. Thomas Mesnard
  9. Danilo Jimenez Rezende

Papers from Chia-Chun Hung's perspective

Ordered by how strongly the researchers Chia-Chun Hung trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers