Win Pa Pa

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 Win Pa Pa 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

Papers from Win Pa Pa's perspective

Ordered by how strongly the researchers Win Pa Pa 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Gradient-based learning applied to document recognition
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. Learning Multiple Layers of Features from Tiny Images

Their papers