Richard Shin

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 8 papers; trusts 99 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Shin trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Jacob Devlin
  6. Sepp Hochreiter
  7. Alex Graves
  8. Alex Krizhevsky
  9. J. Urgen Schmidhuber
  10. Jimmy Ba

Who trusts Richard Shin overall

  1. Xinyun Chen
  2. Luyu Gao
  3. Zhuang Li
  4. Jianlong Chang
  5. Xinbang Zhang
  6. Xin He
  7. Yunyang Xiong
  8. Hossein Hajipour
  9. Dweep Trivedi
  10. Yu Weng

Papers from Richard Shin's perspective

Ordered by how strongly the researchers Richard Shin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers