Fenno F. Terry Heath III

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fenno F. Terry Heath III trusts

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

  1. Charles C. Holt (in Management Science and Operations Research)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Dzmitry Bahdanau (in Artificial Intelligence)
  4. Kyunghyun Cho (in Artificial Intelligence)

Papers from Fenno F. Terry Heath III's perspective

Ordered by how strongly the researchers Fenno F. Terry Heath III trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. Multitask Learning
  3. Improving neural networks by preventing co-adaptation of feature detectors
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
  7. Gradient-based learning applied to document recognition
  8. Adaptive Mixtures of Local Experts
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers