Yixin Nie

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 9 papers; trusts 457 researchers and is trusted by 164 researchers here, as inferred from the citation graph.

Subfields

Whom Yixin Nie trusts overall

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

  1. Diederik P. Kingma
  2. Samuel R. Bowman
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Jason Aaron Edward Weston
  6. Ilya Sutskever
  7. Christopher D. Manning
  8. Alex Krizhevsky
  9. Kaiming He
  10. Jimmy Ba

Who trusts Yixin Nie overall

  1. James Thorne
  2. Mohit Bansal
  3. Douwe Kiela
  4. Adina Williams
  5. Neema Kotonya
  6. Andreas Vlachos
  7. Ethan Perez
  8. Zhenghao Liu
  9. Eric Wallace
  10. Wenpeng Yin

Papers from Yixin Nie's perspective

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

Their papers