Hnin Thu Zar Aye

Artificial Intelligence · 2019

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 Hnin Thu Zar Aye trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Taku Kudo
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Xavier Glorot
  7. Tomas Mikolov
  8. Alex Krizhevsky
  9. J. Urgen Schmidhuber
  10. Jimmy Ba

Papers from Hnin Thu Zar Aye's perspective

Ordered by how strongly the researchers Hnin Thu Zar Aye trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Dropout: a simple way to prevent neural networks from overfitting
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers