Xi Victoria Lin

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 20 papers; trusts 615 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Xi Victoria Lin trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Alex Graves
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Oriol Vinyals
  9. Tomas Mikolov
  10. Yann LeCun

Who trusts Xi Victoria Lin overall

  1. Pietro Liguori
  2. Zhaocheng Zhu
  3. Luke S. Zettlemoyer
  4. Zhuangdi Zhu
  5. Deepak Nathani
  6. Michael D. Ernst
  7. Ansong Ni
  8. Freda Shi
  9. Shaoxiong Ji
  10. Jing Zhang

Papers from Xi Victoria Lin's perspective

Ordered by how strongly the researchers Xi Victoria Lin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers