Jesse Michael Han

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jesse Michael Han trusts overall

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

  1. Kshitij Bansal
  2. Daniel Whalen
  3. Ilya Sutskever
  4. Stanislas Polu
  5. Christian Szegedy
  6. Markus Norman Rabe
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Jia Deng

Who trusts Jesse Michael Han overall

  1. Albert Qiaochu Jiang
  2. Sean Welleck
  3. Zhangir Azerbayev
  4. Yuhuai Wu
  5. Wenda Li
  6. Kaiyu Yang
  7. Stanislas Polu
  8. Michael R Douglas
  9. Markus Norman Rabe
  10. Hailey Schoelkopf

Papers from Jesse Michael Han's perspective

Ordered by how strongly the researchers Jesse Michael Han 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers