Emma Strubell

Artificial Intelligence · 2017–2024

A researcher in the Science corpus: 11 papers; trusts 442 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Emma Strubell trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Sepp Hochreiter
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Kaiming He
  7. Ilya Sutskever
  8. Yann LeCun
  9. Alex Graves
  10. J. Urgen Schmidhuber

Who trusts Emma Strubell overall

  1. Timo Schick
  2. Tom Young
  3. Jesse Dodge
  4. Victor Sanh
  5. Hinrich Schütze
  6. Andrew McCallum
  7. Rowan Zellers
  8. Sebastian Ruder
  9. Ananya Ganesh
  10. Wei Guo

Papers from Emma Strubell's perspective

Ordered by how strongly the researchers Emma Strubell 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers