Eric Frank

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Frank trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alec Radford
  4. Ronald J. Williams
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Kaiming He
  10. Richard Socher

Who trusts Eric Frank overall

  1. Sachin Kumar
  2. Emily Sheng

Papers from Eric Frank's perspective

Ordered by how strongly the researchers Eric Frank 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers