Ni Lao

Artificial Intelligence · 2010–2022

A researcher in the Science corpus: 9 papers; trusts 136 researchers and is trusted by 112 researchers here, as inferred from the citation graph.

Subfields

Whom Ni Lao trusts overall

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

  1. Daniel Klein
  2. Geoffrey E. Hinton
  3. Muthu Dayalan
  4. Yoshua Bengio
  5. Rion Snow
  6. Ronald J. Williams
  7. Galen Andrew
  8. Ilya Sutskever
  9. David Liben-Nowell
  10. Diederik P. Kingma

Who trusts Ni Lao overall

  1. Kristina Toutanova
  2. Seyed Mehran Kazemi
  3. Arvind Neelakantan
  4. Yankai Lin
  5. Jianfeng Gao
  6. Wenyuan Zeng
  7. Andrew McCallum
  8. Danqi Chen
  9. Fan Yang
  10. William W. Cohen

Papers from Ni Lao's perspective

Ordered by how strongly the researchers Ni Lao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  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