Nathan Schucher

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Nathan Schucher trusts overall

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

  1. Noam Shazeer
  2. Tao Yu
  3. Geoffrey E. Hinton
  4. Ohad Rubin
  5. Ruiqi Zhong
  6. Yoshua Bengio
  7. Peter Shaw
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Nathan Schucher overall

  1. Nitarshan Rajkumar
  2. Haoyang Li
  3. Xinyun Chen
  4. Freda Shi
  5. Tianbao Xie
  6. Ansong Ni
  7. Ruoxi Sun

Papers from Nathan Schucher's perspective

Ordered by how strongly the researchers Nathan Schucher 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers