Q. Ain

Artificial Intelligence · 2017

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 Q. Ain trusts overall

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

  1. Yoon Kim
  2. Alex Graves
  3. Tomas Mikolov
  4. Richard Socher
  5. C. D. Santos
  6. Ilya Sutskever
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Ludovic Arnold
  10. Diederik P. Kingma

Who trusts Q. Ain overall

  1. Nhan Cach Dang
  2. David Rozado

Papers from Q. Ain's perspective

Ordered by how strongly the researchers Q. Ain 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers