Xin Chen

Computer Vision and Pattern Recognition · with Yu · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Chen trusts overall

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

  1. Jonathan Ho
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alec Radford
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Mathis Petrovich
  8. Kaiming He
  9. Michael J. Black
  10. Ilya Sutskever

Who trusts Xin Chen overall

  1. Chuan Guo
  2. Yonatan Shafir
  3. Taoran Yi
  4. Yuxuan Mu

Papers from Xin Chen's perspective

Ordered by how strongly the researchers Xin Chen 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers