Naomie Binti Salim

Information Systems · 2003–2019

A researcher in the Science corpus: 6 papers; trusts 162 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Naomie Binti Salim trusts overall

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

  1. Geoffrey E. Hinton
  2. Li Deng
  3. J. Urgen Schmidhuber
  4. Yoshua Bengio
  5. Ruslan Salakhutdinov
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Ilya Sutskever
  10. Alex Graves

Who trusts Naomie Binti Salim overall

  1. Iqbal H. Sarker
  2. Sunghwan Kim
  3. Evan E. Bolton
  4. Jingshan Huang

Papers from Naomie Binti Salim's perspective

Ordered by how strongly the researchers Naomie Binti Salim 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers