Daniel Jarrett

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Jarrett trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Olof Mogren
  6. Dzmitry Bahdanau
  7. Diederik P. Kingma
  8. L. V. D. van der Maaten
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Daniel Jarrett overall

  1. Eoin Brophy
  2. Kashif Rasul
  3. Guillermo Alonso Iglesias

Papers from Daniel Jarrett's perspective

Ordered by how strongly the researchers Daniel Jarrett 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers