Noah Shinn

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Noah Shinn trusts overall

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

  1. Shunyu Yao
  2. Wenlong Huang
  3. Mohit Shridhar
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Zhilin Yang
  10. Jason Wei

Who trusts Noah Shinn overall

  1. Xingyao Wang
  2. Geunwoo Kim
  3. Guanzhi Wang
  4. Shishir G. Patil
  5. Yilun Du
  6. Zhaorun Chen
  7. Ranjan Sapkota
  8. Zhibin Gou
  9. Chengrun Yang
  10. Yuxi Xie

Papers from Noah Shinn's perspective

Ordered by how strongly the researchers Noah Shinn 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers