Khanh Hoa Dam

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Khanh Hoa Dam trusts overall

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

  1. Michael U Gutmann
  2. Geoffrey E. Hinton
  3. Martin White
  4. Aapo Hyvärinen
  5. Lili Mou
  6. Diederik P. Kingma
  7. Sepp Hochreiter
  8. Yoshua Bengio
  9. J. Urgen Schmidhuber
  10. Alex Krizhevsky

Who trusts Khanh Hoa Dam overall

  1. Rafael-Michael Karampatsis
  2. Charles Sutton
  3. Yanlin Wang
  4. Hlib Babii
  5. Katsuhiko Ishiguro
  6. Lun Du

Papers from Khanh Hoa Dam's perspective

Ordered by how strongly the researchers Khanh Hoa Dam trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers