Ben Peters

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 59 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Peters trusts overall

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

  1. Diederik P. Kingma
  2. André F. T. Martins
  3. Yoshua Bengio
  4. Dzmitry Bahdanau
  5. John Scott Bridle
  6. Sepp Hochreiter
  7. Jimmy Ba
  8. Geoffrey E. Hinton
  9. Kyunghyun Cho
  10. J. Urgen Schmidhuber

Who trusts Ben Peters overall

  1. Zi-Yi Dou
  2. Kyle Gorman
  3. Gonçalo M. Correia
  4. Sergei Popov
  5. André F. T. Martins
  6. Vadim Borisov
  7. Graham Neubig
  8. Lucas F. E. Ashby
  9. Vlad Niculae
  10. Stanislav Morozov

Papers from Ben Peters's perspective

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

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

Their papers