Jane Cleland-Huang

Artificial Intelligence · 2003–2017

A researcher in the Science corpus: 5 papers; trusts 51 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jane Cleland-Huang trusts overall

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

  1. Yoshua Bengio
  2. Balasubramaniam Ramesh
  3. Jane Huffman Hayes
  4. Hazeline U. Asuncion
  5. Tomas Mikolov
  6. Richard Socher
  7. Kyunghyun Cho
  8. Geoffrey E. Hinton
  9. Dzmitry Bahdanau
  10. Jeffrey Heer

Who trusts Jane Cleland-Huang overall

  1. Andrea De Lucia
  2. Fausto Fasano
  3. Patrick Mäder
  4. Lutz Büch
  5. Stefan Winkler

Papers from Jane Cleland-Huang's perspective

Ordered by how strongly the researchers Jane Cleland-Huang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers