Erin D. Bennett

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 92 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Erin D. Bennett trusts overall

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

  1. Alex Graves
  2. Samuel R. Bowman
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ryan Kiros
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Ruslan Salakhutdinov
  10. Yann LeCun

Who trusts Erin D. Bennett overall

  1. Alex Wang
  2. Grzegorz Chrupała
  3. E. Voloshina
  4. Najoung Kim
  5. Damien Sileo
  6. Zhongyang Li
  7. Arman Cohan
  8. Samuel R. Bowman

Papers from Erin D. Bennett's perspective

Ordered by how strongly the researchers Erin D. Bennett 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers