Joshua Maynez

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 7 papers; trusts 171 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Joshua Maynez trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Oriol Vinyals
  6. Jacob Devlin
  7. Alex Krizhevsky
  8. Alec Radford
  9. Kyunghyun Cho
  10. Alex Graves

Who trusts Joshua Maynez overall

  1. Tanya Goyal
  2. Sebastian Gehrmann
  3. Ondrej Dusek
  4. David Wan
  5. Yue Dong
  6. Alexander R. Fabbri
  7. Vidhisha Balachandran
  8. Wojciech Kryscinski
  9. Or Honovich
  10. Artidoro Pagnoni

Papers from Joshua Maynez's perspective

Ordered by how strongly the researchers Joshua Maynez 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers