Lin Chen

Artificial Intelligence · Neural Information Processing Systems · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Alec Radford
  6. Haotian Liu
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Lin Chen overall

  1. Bo Li
  2. Xiao-wen Dong
  3. Pan Zhang
  4. Hugo Laurençon
  5. Haoning Wu
  6. Yuanhan Zhang
  7. Zesen Cheng
  8. Beichen Zhang
  9. Haodong Duan
  10. Shengbang Tong

Papers from Lin Chen's perspective

Ordered by how strongly the researchers Lin 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers