Jacob Hilton

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 8 papers; trusts 89 researchers and is trusted by 148 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Hilton trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Yann LeCun
  7. Kaiming He
  8. Sepp Hochreiter
  9. John Schulman
  10. Jimmy Ba

Who trusts Jacob Hilton overall

  1. J'er'emy Scheurer
  2. Hanze Dong
  3. Ganqu Cui
  4. Lichang Chen
  5. Wei Xiong
  6. Mengzhou Xia
  7. Nathan Lambert
  8. Kenneth Li
  9. Roberta Raileanu
  10. Zheng Yuan

Papers from Jacob Hilton's perspective

Ordered by how strongly the researchers Jacob Hilton 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. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers