Hang Le

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 7 papers; trusts 65 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Hang Le trusts overall

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

  1. Holger Schwenk
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Andriy Mnih
  5. Franz Joseph Och
  6. Diederik P. Kingma
  7. Tomas Mikolov
  8. Ilya Sutskever
  9. Philipp Koehn
  10. Alex Krizhevsky

Who trusts Hang Le overall

  1. Holger Schwenk
  2. Li Deng
  3. Yoshua Bengio
  4. Tomas Mikolov
  5. Geoffry Zweig
  6. Jianfeng Gao
  7. Quoc-Khanh Do
  8. Alexander Allauzen
  9. Martin Sundermeyer
  10. Kaisheng Yao

Papers from Hang Le's perspective

Ordered by how strongly the researchers Hang Le 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers