Kyle Rawlins

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle Rawlins trusts overall

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

  1. Ilya Sutskever
  2. Aaron Steven White
  3. Alex Graves
  4. Sepp Hochreiter
  5. Masatoshi Tsuchiya
  6. Geoffrey E. Hinton
  7. Adam Poliak
  8. Wojciech Zaremba
  9. J. Urgen Schmidhuber
  10. Yoshua Bengio

Who trusts Kyle Rawlins overall

  1. Ellie Pavlick
  2. Aaron Steven White
  3. Tom Kwiatkowski

Papers from Kyle Rawlins's perspective

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

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

Their papers