Jay Han

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jay Han trusts

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

  1. Ilya Sutskever (in Artificial Intelligence)
  2. Quoc V. Le (in Artificial Intelligence)
  3. Alex Graves (in Generative Models)

Who trusts Jay Han

  1. Matt Gardner (in Natural Language Processing)

Papers from Jay Han's perspective

Ordered by how strongly the researchers Jay Han trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  5. Generating Sequences With Recurrent Neural Networks
  6. End-To-End Memory Networks
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Character-level Convolutional Networks for Text Classification

Their papers