Will Radford

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Will Radford trusts overall

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

  1. Oriol Vinyals
  2. Ilya Sutskever
  3. Thorsten Joachims
  4. Kenneth Heafield
  5. Quoc V. Le
  6. Silviu Cucerzan
  7. Geoffrey E. Hinton
  8. Roberto Navigli
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Will Radford overall

  1. Sam Wiseman
  2. Angel Daza
  3. Lucie-Aimée Kaffee
  4. Raheel Qader
  5. Andrew Chisholm
  6. Heiko Paulheim
  7. Greg Durrett
  8. Peyman Heidari
  9. Pavlos Vougiouklis
  10. Rong Ye

Papers from Will Radford's perspective

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

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

Their papers