Jason Bolton

Natural Language Processing · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 160 researchers here, as inferred from the citation graph.

Subfields

Whom Jason Bolton trusts overall

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

  1. Christopher D. Manning
  2. Danqi Chen
  3. Jeffrey Pennington
  4. Yoshua Bengio
  5. Jason Aaron Edward Weston
  6. E. Tjong Kim Sang
  7. Kyunghyun Cho
  8. Richard Socher
  9. Geoffrey E. Hinton
  10. Tomas Mikolov

Who trusts Jason Bolton overall

  1. Minghao Hu
  2. Xinya Du
  3. Kristjan Arumae
  4. Claire Cardie
  5. Bhuwan Dhingra
  6. Dirk Weissenborn
  7. Saku Sugawara
  8. Divyansh Kaushik
  9. Shuohang Wang
  10. Danqi Chen

Papers from Jason Bolton's perspective

Ordered by how strongly the researchers Jason Bolton 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers