Yuqi Nie

Artificial Intelligence · with Kalagnanam · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yuqi Nie trusts overall

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

  1. Kaiming He
  2. Sepp Hochreiter
  3. Geoffrey E. Hinton
  4. Mike Schuster
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. J. Urgen Schmidhuber
  8. Diederik P. Kingma
  9. Jacob Devlin
  10. Yann LeCun

Who trusts Yuqi Nie overall

  1. Donghao Luo
  2. Shiyu Wang
  3. Zhijian Xu
  4. Tian Zhou
  5. Xiaoming Shi
  6. Abhimanyu Das
  7. Si Chen
  8. Vijayabharathi Ekambaram
  9. Gerald Woo
  10. Mononito Goswami

Papers from Yuqi Nie's perspective

Ordered by how strongly the researchers Yuqi Nie trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers