J. Scott McCarley

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 88 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom J. Scott McCarley trusts overall

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

  1. Pranav Rajpurkar
  2. Diederik P. Kingma
  3. Danilo Jimenez Rezende
  4. Geoffrey E. Hinton
  5. Max Welling
  6. Yoshua Bengio
  7. Chris J. Maddison
  8. Ashish Vaswani
  9. Christos Louizos
  10. Paul Michel

Who trusts J. Scott McCarley overall

  1. Zhengyan Zhang
  2. Jing Jin
  3. Wei Zhang
  4. Lu Hou
  5. Cai Liang
  6. Fanchao Qi
  7. Qun Liu
  8. Lifeng Shang
  9. Yichun Yin
  10. Zhiyuan Liu

Papers from J. Scott McCarley's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers