Yu Chi

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Chi trusts

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

  1. Anette Hulth (in Artificial Intelligence)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. Jimmy Ba (in Artificial Intelligence)
  5. Kyunghyun Cho (in Artificial Intelligence)
  6. Dzmitry Bahdanau (in Artificial Intelligence)
  7. Ilya Sutskever (in Artificial Intelligence)
  8. Geoffrey E. Hinton (in Artificial Intelligence)
  9. Oriol Vinyals (in Artificial Intelligence)

Papers from Yu Chi's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Sequence Level Training with Recurrent Neural Networks

Their papers