Jamin Shin

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 6 papers; trusts 66 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Jamin Shin trusts overall

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

  1. Ronald J. Williams
  2. Ilya Sutskever
  3. Richard Socher
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Tomas Mikolov
  8. Alex Krizhevsky
  9. Oriol Vinyals
  10. Yann LeCun

Who trusts Jamin Shin overall

  1. Abigail See
  2. Natasha Jaques
  3. Emily Sheng
  4. Abdelrhman Saleh
  5. Brendan Kennedy
  6. Karolina Stańczak
  7. Aida Mostafazadeh Davani
  8. Frederick Liu
  9. Chris Sweeney
  10. Zekun Yang

Papers from Jamin Shin's perspective

Ordered by how strongly the researchers Jamin Shin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers